The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The Common Pheasant and Red-legged Partridge releases European sites and 500m buffer zones dataset is published only to support gamebird licensing from 31 May 2021 onwards.  This dataset is static (not planned to be updated).From 31st May 2021, the release of common pheasants or red-legged partridges into the wild is not allowed on European sites or within 500m of their boundaries (known as the buffer zones) except under a license.For more information and guidance including when you need to apply for a licence see https://www.gov.uk/guidance/wildlife-licences.Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the distribution of Great Crested Newts (GCN) has been categorised into district zones relating to GCN occurrence and the level of impact development is likely to have on this species.Red zones contain key populations of GCN, which are important on a regional, national or international scale and include designated Sites of Special Scientific Interest for GCN.Amber zones contain main population centres for GCN and comprise important connecting habitat that aids natural dispersal.Green zones contain sparsely distributed GCN and are less likely to contain important pathways of connecting habitat for this species.White zones contain no GCN. However, as most of England forms the natural range of GCN, white zones are rare and will only be used when it is certain that there are no GCN.Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the distribution of great crested newts (GCN) has been categorised into district zones relating to GCN occurrence and the level of impact development is likely to have on this species. Red zones contain key populations of GCN, which are important on a regional, national or international scale and include designated Sites of Special Scientific Interest for GCN. Amber zones contain main population centres for GCN and comprise important connecting habitat that aids natural dispersal. Green zones contain sparsely distributed GCN and are less likely to contain important pathways of connecting habitat for this species. White zones contain no GCN. However, as most of England forms the natural range of GCN, white zones are rare and will only be used when it is certain that there are no GCN.Full metadata can be viewed at data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt (GCN) populations. The core areas contain a pond density of 2+ ponds and are located within a 1km square where GCN presence has been predicted. Fringe areas contain a pond density of 1 and are located within a 1km square where GCN presence has been predicted or are within a 250m of a Core Area. Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features such as grassland (+250m buffer), woodland (+250m buffer), and within 100m-1000m range of a river. These suitable habitat features have been given a score of ‘1’ and where more of these features overlap, there is a higher score. Arable land is also included but has been given a score of ‘-1’. Urban areas greater than 2ha (+400m buffer), roads (7.5m), rivers (7.5m) have been excluded.Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations. The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted. Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area. Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features: pH 6-7; Distance from grassland <100m; Density of grassland 5-67%; Distance from woodland <100m; Density of woodland 5-67%; Shannon-Weaver diversity -2 to -0.8 Distance from grassland 2ha (+400m buffer), roads (7.5m), rivers (7.5m) and Environment Agency Flood Zone 2 have been excluded. Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations.The core areas contain a pond density of 2+ ponds and are located within a 25m square where great crested newt presence has been predicted.Fringe areas contain a pond density of 1 and are located within a 25m square where great crested newt presence has been predicted or are within a 250m of a Core Area.Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features:grassland density 25 - 75%woodland density 5 - 75%Distance from rivers >1000mSoil pH 6.5 to 7.5  Phosphorus  30 to 40These suitable habitat features have been given a score of ‘1’.Arable land (density 50 - 100%) and Heather (density 33.33 - 100%) have been given a score of ‘-1’. Roads (7.5m), rivers (7.5m) and Environment Agency Flood Zone 2 have been excluded.Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations. The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted. Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area. Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features such as grassland (+250m buffer), woodland (+250m buffer), and within 100m-1000m range of a river. These suitable habitat features have been given a score of ‘1’ and where more of these features overlap, there is a higher score. Arable land is also included but has been given a score of ‘-1’. Urban areas greater than 2ha (+400m buffer), roads (7.5m buffer) and rivers (+7.5m) have been excluded.Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations. The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted. Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area. Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features: grassland density 25 - 75%; distrance from woodland < 100m; woodland density 15 – 75%; arable density 0 – 25%; Distance from rivers <1500m; pH 6.75 – 7.25 These suitable habitat features have been given a score of ‘1’. Urban areas greater than 2ha (+400m buffer), roads (7.5m), rivers (7.5m) and Environment Agency Flood Zone 2 have been excluded. Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations. The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted. Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area. Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features: Distance from a River 200 -2000m; Soil pH 6.5 – 7.5; Soil Phosphorus 35 -45 mg kg-1; Arable Density < 33%; Distance from Grassland <100m; Grassland Density 10 -40%; Distance from Woodland < 100m. These suitable habitat features have been given a score of ‘1’. Urban areas > 2ha (+400m buffer), roads (7.5m), rivers (7.5m) and Environment Agency Flood Zone 2 have been excluded. Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations.The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted.Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area.Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features:Elevation 0 - 400mDensity of woodland 10 - 60%Density of grassland 10 - 60%pH 6.25 - 7.5Soil drainage classed as 'Naturally wet' or 'Drainage impeded'These suitable habitat features have been given a score of ‘1’.Density of arable land 33 - 100%Has been given a score of  -1Presence of heatherHave been given a score of -2Urban areas greater than 2ha (+400m buffer), roads (7.5m) and rivers (7.5m)Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations.The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted.Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area.Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features:pH 6.75-7.5Density of grassland 10-66%Distance from woodland <100mShannon-Weaver diversity -1.5 to -0.6Where drainage is classed as Impeded, Naturally Wet or WaterThese suitable habitat features have been given a score of ‘1’.Density of arable 50-100%Has been given a score of ‘-1’.Land classification is Acid Grassland or BogHas been given a score of ‘-2’.Urban areas > 2ha (+400m buffer), roads (7.5m) and rivers (7.5m) have been excluded.Full metadata can be viewed on data.gov.uk.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations. The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted. Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area. Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features: grassland density 25% - 75% distance to woodland 0 - 100m arable density 0 - 50% within 100m - 1500m of a river a pH 6.5 - 8. These suitable habitat features have been given a score of ‘1’. Urban areas greater than 2ha (+400m buffer), roads (7.5m), rivers (7.5m) and Environment Agency Flood Zone 2 have been excluded.Full metadata can be viewed on data.gov.uk.

The Germplasm Resources Information Network (GRIN) is an online portal for information about agricultural genetic resources that are managed by the Agricultural Research Service of USDA, along with U.S. partnering organizations. The content includes general information about ARS animal, microbial and plant germplasm collections, most notably the U.S. National Plant Germplasm System (NPGS). The NPGS curates more than 600,000 active accessions of living plant material at 20 genebank locations around the U.S., and makes small quantities available globally to plant breeders and other professional scientists. GRIN also documents activities of Crop Germplasm Committees (CGC) that support the NPGS. The CGCs are comprised of public and private sector subject matter experts for a given crop (there are currently 44 CGCs) who voluntarily provide input on technical and operational matters to the NPGS. The site includes two searchable datasets: the ARS Rhizobium collection and Plant Variety Protection Certificates. The Rhizobium collection is living bacteria that nodulate the roots of leguminous plants symbiotically to provide nitrogen fixation. Samples are available to research scientists globally upon request. The Plant Variety Protection (PVP) Certificates are issued by the Agricultural Marketing Service (AMS) of USDA to provide intellectual property protection to registered new varieties of plants that are propagated by seed or tubers. The GRIN site allows queries of PVPs by certificate number, name of the crop, variety name, or certificate holder, all using data provided by the AMS.

The Germplasm Resources Information Network (GRIN) is an online portal for information about agricultural genetic resources that are managed by the Agricultural Research Service of USDA, along with U.S. partnering organizations. The content includes general information about ARS animal, microbial and plant germplasm collections, most notably the U.S. National Plant Germplasm System (NPGS). The NPGS curates more than 600,000 active accessions of living plant material at 20 genebank locations around the U.S., and makes small quantities available globally to plant breeders and other professional scientists. GRIN also documents activities of Crop Germplasm Committees (CGC) that support the NPGS. The CGCs are comprised of public and private sector subject matter experts for a given crop (there are currently 44 CGCs) who voluntarily provide input on technical and operational matters to the NPGS. The site includes two searchable datasets: the ARS Rhizobium collection and Plant Variety Protection Certificates. The Rhizobium collection is living bacteria that nodulate the roots of leguminous plants symbiotically to provide nitrogen fixation. Samples are available to research scientists globally upon request. The Plant Variety Protection (PVP) Certificates are issued by the Agricultural Marketing Service (AMS) of USDA to provide intellectual property protection to registered new varieties of plants that are propagated by seed or tubers. The GRIN site allows queries of PVPs by certificate number, name of the crop, variety name, or certificate holder, all using data provided by the AMS.

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

Location of ponds surveyed as part of Phase 1 of the Natural England 2013 Greated Crested Newt Evidence Enhancement Project (NE GCN EEP Surveyed GIS).Great crested newts (GCN), alongside other species listed in Annexes II and IV of the Habitats Directive, are afforded particular protection because of their conservation status at a European scale. This species is widespread in Europe, but has declined since the 1940s. In the UK, GCN are widespread and locally common, with a patchy distribution, especially in South West England, parts of Wales, and in Scotland. A requirement of the Habitats Directive of each EU member state is to ensure that European Protected Species are maintained at or restored to ‘favourable conservation status’ across their natural range. In order to better understand the conservation status of the species in England, a much better understanding is needed of the distribution and extent of the population of the species in its natural range, and the habitat available to it. This project forms part of a series of projects to produce an enhanced evidence base which can be used to inform decisions about land-use planning and determining conservation status. It is the first of a two-stage exercise to collect data to develop a model for predicting the presence of GCN. Potential applications of a predictive model could include earlier identification of areas where GCN can be ruled in or out as a concern in land-use planning decisions. Data is a sample of ponds identified in pilot survey locations. Data should subsequently not be used as a definitive indicator of total pond coverage.Full metadata can be viewed on data.gov.uk.

PLEASE NOTE: This is a large dataset. The dataset is only currently downloadable from our Open Data Geoportal in Spreadsheet, Shapefile and File Geodatabase formats.Integrated Site Assessments are carried out by Natural England staff to assess the condition of notified features on Sites of Special Scientific Interest, and Indicators of Success on Higher Level Stewardship agri-environment schemes. The ISA process integrates surveys for both purposes, so where they co-occur they are usually recorded together. Individual surveys include the recording of a variety of species within SSSI Units and/or Rural Land Register Parcels, as well as other non-biotic measurements such as vegetation structure, which together are used in the assessment of SSSI feature condition, Indicators of Success, or both. Species records are associated with the SSSI units and/or RLR Parcels containing the list of features which are the subject of each part of the ISA survey, so survey 'feature lists' are used to define discrete geographic areas within which the species were recorded. Precise BNG grid references, or eastings and northings, are not recorded for individual species, and the precise extent of the features (usually semi-natual habitats) within the SSSI units and/or RLR parcels is unknown.Full metadata can be viewed on data.gov.uk.

Streams where populations of New Zealand Mudsnails have been confirmed. Created as a featureclass and linear event table based on the current version of the National Hydrography Dataset (NHD).

Rivers and Lakes in Washington where known populations of New Zealand mudsnails (Potamopyrgus antipodarum) exist upstream or in the immediate watershed. Originally created from Washington Rivers polygon layer in 2010. Addtional polygons imported from NHDArea and NHDWaterbody beginning in 2014.

Watersheds where populations of the New Zealand mudsnail (Potamopyrgus antipodarum) have been found or are likely to be found due to proximity to known populations. Based on HUC12 WBD Watersheds from USGS.

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Designated Site Features Open Data' is a subset of the habitat and species data, which shows habitats and species (feature) data only within the site in which they are legally designated. The datasets comprises 6 sub-datasets: one point dataset and five polygonal. These are arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandfltas, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

The dataset 'Marine Habitats and Species Open Data (England) BNG' comprises eight sub-datasets: three point datasets and five polygonal. These represent all publicly available marine evidence for habitats and species held by Natural England.The data is arranged into categories in regards to the designation type and habitat type: - Marine Protected Area Supporting Habitats and Subfeatures (SPA/SAC): Mudflats and Sandflats, Sandbanks, Reefs, Submerged Sea Caves, Saltmarsh - Marine SAC Complex Feature Subfeatures: Estuaries, Large Shallow Inlets and Bays - Marine Annex I Habitats: Coastal Lagoons, SAC Complex Features - Marine Conservation Zone Features: Species Features of Conservation Importance, Habitat Features of Conservation Importance, Broadscale HabitatFull metadata can be viewed on Data.gov.uk

This dateset contains The State of Wildlife Resources. The data presented here refer to the latest year available.Important Notes: - Each Country has its own date range, to view the date range of all countries listed download the Metadata PDF in the attachments.The data on the state of threatened species build on country replies to the Annual Quality Assurance (AQA) of OECD environmental reference series. These data are harmonised through the work of the OECD Working Party on Environmental Information (WPEI). Some where updated or revised on the basis of comments from national Delegates and in the framework of the OECD Environmental Performance Reviews. Follow datasource.kapsarc.org for timely data to advance energy economics research.

Identification of wintering waterbird high tide roosts on the Severn Estuary SSSI/SPA completed in four phases: Phase 1 includes the Brean Down to Clevedon stretch. Phases 2 & 3 were completed at the same time. Phase 2 included the Clevedon to Oldbury stretch and Phase 3 Bridgwater Bay. Phases 2 & 3 also identified the subsites within Steart Marshes in Bridgwater Bay. Phase 4 includes the Gloucestershire area. This is a spatial dataset that identifies the locations of waterbird high tide roost sites in the Severn Estuary; and characterises the habitat(s) and waterbird composition. Information on the presence of waterbirds and their roost site characteristics was collected for each sector from the following sources: (i) WeBS core count (ie, high tide) data supplied by the BTO; (ii) interviews with the relevant WeBS counter; and (iii) site visits. This study provides much more detailed information than is generally available for the BTO collected WeBS data. The roost locations will help to determine whether the activities associated with a proposed plan or project could lead to impacts which have a significant adverse effect upon any given species or assemblage of water bird(s). Full metadata can be viewed on data.gov.uk.

Identification of wintering waterbird high tide roosts on the Severn Estuary SSSI/SPA completed in four phases: Phase 1 includes the Brean Down to Clevedon stretch. Phases 2 & 3 were completed at the same time. Phase 2 included the Clevedon to Oldbury stretch and Phase 3 Bridgwater Bay. Phases 2 & 3 also identified the subsites within Steart Marshes in Bridgwater Bay. Phase 4 includes the Gloucestershire area. This is a spatial dataset that identifies the locations of waterbird high tide roost sites in the Severn Estuary; and characterises the habitat(s) and waterbird composition. Information on the presence of waterbirds and their roost site characteristics was collected for each sector from the following sources: (i) WeBS core count (ie, high tide) data supplied by the BTO; (ii) interviews with the relevant WeBS counter; and (iii) site visits. This study provides much more detailed information than is generally available for the BTO collected WeBS data. The roost locations will help to determine whether the activities associated with a proposed plan or project could lead to impacts which have a significant adverse effect upon any given species or assemblage of water bird(s). Full metadata can be viewed on data.gov.uk.

Identification of wintering waterbird high tide roosts on the Severn Estuary SSSI/SPA completed in four phases: Phase 1 includes the Brean Down to Clevedon stretch. Phases 2 & 3 were completed at the same time. Phase 2 included the Clevedon to Oldbury stretch and Phase 3 Bridgwater Bay. Phases 2 & 3 also identified the subsites within Steart Marshes in Bridgwater Bay. Phase 4 includes the Gloucestershire area. This is a spatial dataset that identifies the locations of waterbird high tide roost sites in the Severn Estuary; and characterises the habitat(s) and waterbird composition. Information on the presence of waterbirds and their roost site characteristics was collected for each sector from the following sources: (i) WeBS core count (ie, high tide) data supplied by the BTO; (ii) interviews with the relevant WeBS counter; and (iii) site visits. This study provides much more detailed information than is generally available for the BTO collected WeBS data. The roost locations will help to determine whether the activities associated with a proposed plan or project could lead to impacts which have a significant adverse effect upon any given species or assemblage of water bird(s). Full metadata can be viewed on data.gov.uk.

Identification of wintering waterbird high tide roosts on the Severn Estuary SSSI/SPA completed in four phases: Phase 1 includes the Brean Down to Clevedon stretch. Phases 2 & 3 were completed at the same time. Phase 2 included the Clevedon to Oldbury stretch and Phase 3 Bridgwater Bay. Phases 2 & 3 also identified the subsites within Steart Marshes in Bridgwater Bay. Phase 4 includes the Gloucestershire area. This is a spatial dataset that identifies the locations of waterbird high tide roost sites in the Severn Estuary; and characterises the habitat(s) and waterbird composition. Information on the presence of waterbirds and their roost site characteristics was collected for each sector from the following sources: (i) WeBS core count (ie, high tide) data supplied by the BTO; (ii) interviews with the relevant WeBS counter; and (iii) site visits. This study provides much more detailed information than is generally available for the BTO collected WeBS data. The roost locations will help to determine whether the activities associated with a proposed plan or project could lead to impacts which have a significant adverse effect upon any given species or assemblage of water bird(s). Full metadata can be viewed on data.gov.uk.

Under the Natural Capital and Ecosystem Assessment (NCEA) Pilot, Natural England and the Botanical Society of Britain and Ireland (BSBI) have been working in partnership to use BSBI's vast database of plant records to inform the evidence base for tree-planting activities. Poorly targeted tree planting risks damaging wildlife and carbon-rich habitats, therefore using these data we aim to ensure that areas of high conservation value are preserved in the landscape. The summarised botanical value map provides an easily interpretable output which categorises monads (1 x 1 km grid squares) as being of Low, Moderate or High botanical value according to the presence of Rare, Scarce and Threatened (RST) plant species and/or the proportion of Priority Habitat Positive Indicator (PHPI) species that were recorded within the 1 x 1 km grid square between 1970 and 2021. The PHPI species are a combination of BSBI axiophytes, positive indicators for common standards monitoring and ancient woodland indicators. The dataset includes an overall botanical value, as well as values based on only the presence of RST plant species, and a value for each broad habitat type based on the PHPI species records. By viewing the different attributes, you can gain insights into how valuable a monad is for different habitat types and for plant species of conservation concern, as well as an indication of how well a particular monad has been surveyed. The categories of 'No indicators, poor survey coverage' and 'No indicators, good survey coverage' indicate where no indicator species have been recorded and survey coverage either is above or below a threshold of 3 'recorder days'. A 'recorder day' is defined as being when 40 or more species have been recorded on a single visit and 3 recorder days is assumed sufficient to achieve good survey coverage within a 1 x 1 km grid square. This map is not intended to be used to carry out detailed assessments of individual site suitability for tree planting, for which the RST plant species heatmap at 100 x 100 m resolution and the PHPI heatmaps at 1 x 1 km resolution have been developed by BSBI and Natural England. However, the summarised botanical value map can provide useful insights at a strategic landscape scale, to highlight monads of high value for vascular plants and inform spatial planning and prioritisation, and other land management decision-making. These should be used alongside other environmental datasets and local knowledge to ensure decisions are supported by the appropriate evidence. Please get in contact if you have any queries about the data or appropriate uses at botanicalheatmaps@naturalengland.org.uk. Process Description: The main data sources were the botanical heatmaps which were developed as part of the NCEA pilot in collaboration with BSBI. BSBI provided summarised counts of Rare, Scarce and Threatened (RST) plant species and Priority Habitat Positive Indicators (PHPIs) present within each 1 x 1 km grid square (monads) between 1970 and 2021, which were then further processed by an automated workflow to subset to England and gap-fill where values were missing, taking into account the influence of survey coverage. To create the summarised botanical value map these heatmap data were then further categorised based on the number of RST plant species or PHPI species present indicating semi-natural habitat of high quality. The number of PHPIs present per monad within each broad habitat heatmap were compared to the total number of PHPIs present within their surrounding area We used a local benchmarking approach to categorise monads based on the proportion of the total PHPIs recorded in the monad. If a monad contained less than 10% of the regional species pool this was deemed as being Poor value, between 10-20% was defined as Moderate value and over 20% was High botanical value, from a vascular plant perspective. Where a monad had no indicator records and survey coverage was poor, it was classified as ‘no indicators, poor survey coverage’. Datasets used:BSBI botanical heatmap data - BSBIOS Grids - OSONS Country boundaries - ONSCommon Standards Monitoring guidance - JNCC 2004BSBI's Axiophyte list - Walker 2018Ancient Woodland Indicators - Glaves et al. 2009Plantatt - Hill et al. 2004Further information can be found in the technical report at:Botanical Heatmaps and the Botanical Value Map: Technical Report (NERR110)Full metadata can be viewed on data.gov.uk.

Under the Natural Capital and Ecosystem Assessment (NCEA) Pilot, Natural England and the Botanical Society of Britain and Ireland (BSBI) have been working in partnership to use BSBI's vast database of plant records to inform the evidence base for tree-planting activities. Poorly targeted tree planting risks damaging wildlife and carbon-rich habitats, therefore using these data we aim to ensure that areas of high conservation value are preserved in the landscape. The summarised botanical value map provides an easily interpretable output which categorises monads (1 x 1 km grid squares) as being of Low, Moderate or High botanical value according to the presence of Rare, Scarce and Threatened (RST) plant species and/or the proportion of Priority Habitat Positive Indicator (PHPI) species that were recorded within the 1 x 1 km grid square between 1970 and 2022. The PHPI species are a combination of BSBI axiophytes, positive indicators for common standards monitoring and ancient woodland indicators. The dataset includes an overall botanical value, as well as values based on only the presence of RST plant species, and a value for each broad habitat type based on the PHPI species records. By viewing the different attributes, you can gain insights into how valuable a monad is for different habitat types and for plant species of conservation concern, as well as an indication of how well a particular monad has been surveyed. The categories of 'No indicators, poor survey coverage' and 'No indicators, good survey coverage' indicate where no indicator species have been recorded and survey coverage either is above or below a threshold of 3 'recorder days'. A 'recorder day' is defined as being when 40 or more species have been recorded on a single visit and 3 recorder days is assumed sufficient to achieve good survey coverage within a 1 x 1 km grid square. This map is not intended to be used to carry out detailed assessments of individual site suitability for tree planting, for which the RST plant species heatmap at 100 x 100 m resolution and the PHPI heatmaps at 1 x 1 km resolution have been developed by BSBI and Natural England.  However, the summarised botanical value map can provide useful insights at a strategic landscape scale, to highlight monads of high value for vascular plants and inform spatial planning and prioritisation, and other land management decision-making.  These should be used alongside other environmental datasets and local knowledge to ensure decisions are supported by the appropriate evidence. Please get in contact if you have any queries about the data or appropriate uses at botanicalheatmaps@naturalengland.org.uk.Datasets used:BSBI botanical heatmap data - BSBIOS Grids - OSONS Country boundaries - ONSCommon Standards Monitoring guidance - JNCC 2004BSBI's Axiophyte list - Walker 2018Ancient Woodland Indicators - Glaves et al. 2009Plantatt - Hill et al. 2004Further information can be found in the technical report at:Botanical Heatmaps and the Botanical Value Map: Technical Report (NERR110)Full metadata can be viewed on data.gov.uk.

GRIN-Global is an ongoing international collaborative project to develop shared and open-source applications that help manage plant germplasm collections. The software was jointly developed by the Agricultural Research Service of USDA, Global Crop Diversity Trust, and Bioversity International, with the first version released in December 2011. The ARS has used GRIN-Global to manage its plant germplasm collections, the U.S. National Plant Germplasm System, since November 2015. GRIN-Global is an extension of Germplasm Resources Information Network (GRIN) information management system, which was first developed by ARS beginning in the mid-1980s. GRIN-Global is comprised of a suite of computer applications that are used internally by genebank staff to curate collections, as well as a public website through which scientists can query the database and request samples of germplasm through a shopping cart process.