changed Source changed

A new raw object was archived. Both versions are preserved. 5479 line(s) added, 3997 line(s) removed.
Evidence

Source	Data.gov — Climate Datasets
Agency	Data.gov
URL	https://api.gsa.gov/technology/datagov/v4/search?q=climate&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY}
Observed by	Civic Memory, directly, on 2026-09-11T00:28:47+00:00
Content type	application/json
Current object	`de811e25d46bdb5c370842b53220b971816b99c6d5ce195fa13459b9d9201280` download raw metadata
Previous object	`6a7bacf2e039d625dd7190bbd4cd1c573a7803ac16c63a47a18deb572f12bc5c` download raw metadata
What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-09-11T00:28:47+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 5479 line(s) added, 3997 line(s) removed.
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+ "Adriatic Sea",
+ "Air Temperature",
+ "Atlantic Ocean",
+ "Average Burst Pressure",
+ "BAROMETERS",
+ "Barnegat Bay, NJ",
+ "Beam Attenuation",
+ "Blackwater National Wildlife Refuge, MD",
+ "Buzzard's Bay, MA",
+ "CMGP",
+ "CONDUCTIVITY",
+ "CONDUCTIVITY METERS",
+ "CONDUCTIVITY, TEMPERATURE, DEPTH",
+ "CURRENT METERS",
+ "Cape Hatteras, NC",
+ "Chandeleur Islands, LA",
+ "Chincoteague Bay, MD and VA",
+ "Coastal and Marine Geology Program",
+ "Current Direction (t)",
+ "Current Speed",
+ "DENSITY",
+ "DODS &gt; DISTRIBUTED OCEANOGRAPHIC DATA SYSTEM",
+ "Dauphin Island, LA",
+ "Dissolved Oxygen",
+ "ESIP &gt; EARTH SCIENCE INFORMATION PARTNERS PROGRAM",
+ "Fire Island, NY",
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+ "Georges Bank, ME",
+ "Gulf of Maine",
+ "Gulf of Mexico",
+ "Hawaiian waters",
+ "Hudson Shelf Valley, NY",
+ "IGBP &gt; INTERNATIONAL GEOSPHERE-BIOSPHERE PROGRAMME",
+ "INCLINOMETERS",
+ "Martha's Vineyard, MA",
+ "Massachusetts Bay, MA",
+ "Meteorology",
+ "Monterrey Bay, CA",
+ "North America",
+ "OCEAN CURRENTS",
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+ "PRESSURE TRANSDUCERS",
+ "Pacific Ocean",
+ "Palos Verdes Shelf, CA",
+ "Rachel Carlson National Wildlife Refuge, ME",
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+ "SALINITY, TEMPERATURE, DEPTH",
+ "SEA LEVEL PRESSURE",
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+ "Salinity",
+ "Sea Surface Temperature",
+ "Seal Beach, Pt. Mugu, CA",
+ "Sigma Theta",
+ "South Atlantic Bight",
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+ "Temperature (c)",
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+ "U.S. Geological Survey",
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+ "WATER PRESSURE",
+ "WATER TEMPERATURE",
+ "WAVE HEIGHT",
+ "WAVE SPEED DIRECTION",
+ "WHCMSC",
+ "WIND VANES",
+ "Wave Height",
+ "Wave Period",
+ "Wind Direction",
+ "Wind Speed",
+ "Woods Hole Coastal and Marine Science Center",
+ "geoscientificInformation",
+ "marine geology",
+ "ocean sciences",
+ "oceans",
+ "pH",
+ "sedimentology"
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- "description": "<div>This polygon feature class represents the spatial extent and boundaries for the Utah Greater Sage-Grouse (GRSG) seasonal habitats, as modeled by the Utah State University Kohl Model Version 5. The original habitat model is clipped to a habitat buffer created by the Utah Division of Wildlife Resources. The data contains a clipped polygon for nesting, summer, and winter habitat respectively. </div><div><br /></div><div>Process of creating habitat model, as described by the authors: The process of creating the seasonal habitats layer is described below.</div><div><br /></div><div>1. Creation of statewide general habitat model for GRSG (2016). In 2016, researchers at Utah State University (USU) developed a statewide general sage-grouse habitat map using a database of hundreds of lek locations and more than 20,000 GRSG telemetry locations collected statewide from 1998 – 2014. The map depicted habitat suitability on a scale from 0 to 100 at 1 km spatial resolution, based on comparing environmental (vegetation, topography, soils, climate) and anthropogenic (developed land cover, road density, powerline density) conditions at active lek and sage-grouse use locations versus inactive lek and random background locations statewide. Because multiple telemetry locations were often associated with a single brood-rearing or non-breeding bird, the median values of environmental and anthropogenic variables at these telemetry locations were used in the model. A random forest model was used to create the map (Breiman 2001, Cutler et al. 2007). Random forests is a highly accurate non-parametric classification technique that predicts the probability of an outcome (in this case, habitat vs non-habitat) by averaging the results of many classification trees, each of which is trained on a random subset of the available data. The general habitat map was reclassified into ‘habitat’ and ‘non-habitat’ classes such that habitat areas captured 99% of all sage-grouse use locations. These general habitat areas were used as a mask in order to constrain preliminary predictions of seasonal habitats, described below.</div><div><br /></div><div>2. Create preliminary seasonal GRSG habitat models (Jan - May 2017). Telemetry locations in the database were classified into three seasonal habitat types based on time of year and type of GRSG use. Breeding habitat was defined as areas used by GRSG engaged in lekking, nesting, and early brood-rearing, from March 1 – June 14. Summer habitat was defined as areas used by brood-rearing and non-breeding GRSG from June 15 – August 31. The June 15 cutoff date between breeding and summer use locations was selected based on the temporal distribution of nesting and brooding use locations. Winter habitat was defined as areas used by non-breeding GRSG from November 1 – February 29. As in the general habitat modeling approach, environmental conditions at annual brood-rearing or non-breeding locations associated with the same bird were measured as medians over the multiple locations. Seasonal habitats were modeled using the same predictors as the general habitat model, with the addition of distance to leks due to its association with breeding habitat. A random forest model was used to estimate the suitability of general habitat areas statewide (from step 1 above) for breeding, summer, and winter use. For each seasonal use class, a suitability threshold was selected such that 85% of all seasonal use locations were captured in the resulting seasonal habitat map. This resulted in models that were neither overly restrictive nor overly liberal. To reduce the 'salt and pepper’ effect of isolated or scattered habitat pixels, a 3x3 km smoothing window was applied to each of the seasonal habitat layers, assigning the majority value (habitat or non-habitat) to the center pixel. </div><div><br /></div><div>3. DWR biologists reviewed seasonal models (April - June 2017). An overview of the general and seasonal mapping methodology and preliminary maps was presented to GRSG biologists and managers from the Utah Division of Wildlife Resources (UDWR), Bureau of Land Management (BLM), and Forest Service (FS) at Utah State University in Logan on 4/21/17. Feedback at the meeting led to a few minor changes to the seasonal mapping methods. Because the breeding seasonal use model was not picking up areas around all active leks, distance to leks was dropped as a predictor variable from the seasonal habitat random forest model, and a 3 km buffer around all active leks was manually included in the breeding habitat model. Updated seasonal use models were sent to UDWR on 5/17/17, where they were made available for review by biologists with local area knowledge. An ArcGIS Online webpage was used to share the models with biologists, and allow for them to provide recommended additions / deletions to areas captured by the models. Accompanying the spatial data was an 8 minute webinar communicating the modelling procedure. UDWR returned updated seasonal use models with biologists’ comments, additions, and deletions to USU researchers on 6/6/17. Most but not all areas in the state received substantive feedback and comments from UDWR biologists. </div><div><br /></div><div>4. Additional review of seasonal use models and final edits performed (July – August 2017). USU researchers reviewed biologist edits on 7/13/17. Most of the areas flagged to be added/removed from the seasonal use models seemed appropriate and helpful. But, there were a few areas UDWR biologists identified to be deleted from the models that USU researchers considered questionable. These areas were identified and shared with UDWR managers on 7/13/17. UDWR managers indicated a desire to have another face to face meeting to make a final determination on areas to include / exclude from the seasonal use models. This meeting occurred on 8/8/17, at which it was determined that it would be preferable to have the final seasonal habitat products reflect both use and potential suitability, as opposed to only areas of known use. This led to rejecting some areas flagged for deletion by biologists, as biologist comments indicated they were conceptualizing the map as primarily a use map only. Numerous small edits were made to the seasonal use layers, including several edits to include seasonal use locations not captured by preliminary models. Finally, all single, isolated habitat pixels were removed from the map. </div><div><br /></div><div>References: Breiman, L. (2001), Random Forests, Machine Learning 45(1), 5-32.Cutler, D.R., T.C. Edwards, K.H. Beard, A. Cutler, K.T Hess, J.C. Gibson and J.J. Lawler. 2007. Random forests for classification in ecology. Ecology 88(11):2783-2792.This dataset was used in the preparation of the Greater Sage-grouse (GRSG) 2018 DEIS planning maps and acreages initiated by Secretarial Order (SO) 3353 of June 7, 2017 and the Notice of Intent (NOI) of October 11, 2017. Recipient Principal Investigator/Project Manager: Terry A. Messmer, Jack H. Berryman Institute, Utah State University, 5230 Old Main Hill, Logan, Utah 84322-5230, Phone 435-797-3975, Fax 435-797-3796, E-mail terry.messmer@usu.edu Project Co-PIs and Staff: Dave Dahlgren, Eric Thacker, Kris Hulvey. Michel Kohl (Post-Doc), and Ben Crabb (GIS staff)</div>",
+ "fn": "Jordan S. Read",
+ "hasEmail": "mailto:jread@usgs.gov"
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- "modified": "2024-03-22T21:47:59Z",
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+ "United States",
+ "WI",
+ "Wisconsin",
+ "biota",
+ "climate change",
+ "deep learning",
+ "environment",
+ "hybrid modeling",
+ "inlandWaters",
+ "machine learning",
+ "modeling",
+ "reservoirs",
+ "temperate lakes",
+ "temperature",
+ "thermal profiles",
+ "water"
+ ],
+ "modified": "2020-08-20T00:00:00Z",
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- "description": "<div>This polygon feature class represents the spatial extent and boundaries for the Utah Greater Sage-Grouse (GRSG) seasonal habitats, as modeled by the Utah State University Kohl Model Version 5. The original habitat model is clipped to a habitat buffer created by the Utah Division of Wildlife Resources. The data contains a clipped polygon for nesting, summer, and winter habitat respectively. </div><div><br /></div><div>Process of creating habitat model, as described by the authors: The process of creating the seasonal habitats layer is described below.</div><div><br /></div><div>1. Creation of statewide general habitat model for GRSG (2016). In 2016, researchers at Utah State University (USU) developed a statewide general sage-grouse habitat map using a database of hundreds of lek locations and more than 20,000 GRSG telemetry locations collected statewide from 1998 – 2014. The map depicted habitat suitability on a scale from 0 to 100 at 1 km spatial resolution, based on comparing environmental (vegetation, topography, soils, climate) and anthropogenic (developed land cover, road density, powerline density) conditions at active lek and sage-grouse use locations versus inactive lek and random background locations statewide. Because multiple telemetry locations were often associated with a single brood-rearing or non-breeding bird, the median values of environmental and anthropogenic variables at these telemetry locations were used in the model. A random forest model was used to create the map (Breiman 2001, Cutler et al. 2007). Random forests is a highly accurate non-parametric classification technique that predicts the probability of an outcome (in this case, habitat vs non-habitat) by averaging the results of many classification trees, each of which is trained on a random subset of the available data. The general habitat map was reclassified into ‘habitat’ and ‘non-habitat’ classes such that habitat areas captured 99% of all sage-grouse use locations. These general habitat areas were used as a mask in order to constrain preliminary predictions of seasonal habitats, described below.</div><div><br /></div><div>2. Create preliminary seasonal GRSG habitat models (Jan - May 2017). Telemetry locations in the database were classified into three seasonal habitat types based on time of year and type of GRSG use. Breeding habitat was defined as areas used by GRSG engaged in lekking, nesting, and early brood-rearing, from March 1 – June 14. Summer habitat was defined as areas used by brood-rearing and non-breeding GRSG from June 15 – August 31. The June 15 cutoff date between breeding and summer use locations was selected based on the temporal distribution of nesting and brooding use locations. Winter habitat was defined as areas used by non-breeding GRSG from November 1 – February 29. As in the general habitat modeling approach, environmental conditions at annual brood-rearing or non-breeding locations associated with the same bird were measured as medians over the multiple locations. Seasonal habitats were modeled using the same predictors as the general habitat model, with the addition of distance to leks due to its association with breeding habitat. A random forest model was used to estimate the suitability of general habitat areas statewide (from step 1 above) for breeding, summer, and winter use. For each seasonal use class, a suitability threshold was selected such that 85% of all seasonal use locations were captured in the resulting seasonal habitat map. This resulted in models that were neither overly restrictive nor overly liberal. To reduce the 'salt and pepper’ effect of isolated or scattered habitat pixels, a 3x3 km smoothing window was applied to each of the seasonal habitat layers, assigning the majority value (habitat or non-habitat) to the center pixel. </div><div><br /></div><div>3. DWR biologists reviewed seasonal models (April - June 2017). An overview of the general and seasonal mapping methodology and preliminary maps was presented to GRSG biologists and managers from the Utah Division of Wildlife Resources (UDWR), Bureau of Land Management (BLM), and Forest Service (FS) at Utah State University in Logan on 4/21/17. Feedback at the meeting led to a few minor changes to the seasonal mapping methods. Because the breeding seasonal use model was not picking up areas around all active leks, distance to leks was dropped as a predictor variable from the seasonal habitat random forest model, and a 3 km buffer around all active leks was manually included in the breeding habitat model. Updated seasonal use models were sent to UDWR on 5/17/17, where they were made available for review by biologists with local area knowledge. An ArcGIS Online webpage was used to share the models with biologists, and allow for them to provide recommended additions / deletions to areas captured by the models. Accompanying the spatial data was an 8 minute webinar communicating the modelling procedure. UDWR returned updated seasonal use models with biologists’ comments, additions, and deletions to USU researchers on 6/6/17. Most but not all areas in the state received substantive feedback and comments from UDWR biologists. </div><div><br /></div><div>4. Additional review of seasonal use models and final edits performed (July – August 2017). USU researchers reviewed biologist edits on 7/13/17. Most of the areas flagged to be added/removed from the seasonal use models seemed appropriate and helpful. But, there were a few areas UDWR biologists identified to be deleted from the models that USU researchers considered questionable. These areas were identified and shared with UDWR managers on 7/13/17. UDWR managers indicated a desire to have another face to face meeting to make a final determination on areas to include / exclude from the seasonal use models. This meeting occurred on 8/8/17, at which it was determined that it would be preferable to have the final seasonal habitat products reflect both use and potential suitability, as opposed to only areas of known use. This led to rejecting some areas flagged for deletion by biologists, as biologist comments indicated they were conceptualizing the map as primarily a use map only. Numerous small edits were made to the seasonal use layers, including several edits to include seasonal use locations not captured by preliminary models. Finally, all single, isolated habitat pixels were removed from the map. </div><div><br /></div><div>References: Breiman, L. (2001), Random Forests, Machine Learning 45(1), 5-32.Cutler, D.R., T.C. Edwards, K.H. Beard, A. Cutler, K.T Hess, J.C. Gibson and J.J. Lawler. 2007. Random forests for classification in ecology. Ecology 88(11):2783-2792.This dataset was used in the preparation of the Greater Sage-grouse (GRSG) 2018 DEIS planning maps and acreages initiated by Secretarial Order (SO) 3353 of June 7, 2017 and the Notice of Intent (NOI) of October 11, 2017. Recipient Principal Investigator/Project Manager: Terry A. Messmer, Jack H. Berryman Institute, Utah State University, 5230 Old Main Hill, Logan, Utah 84322-5230, Phone 435-797-3975, Fax 435-797-3796, E-mail terry.messmer@usu.edu Project Co-PIs and Staff: Dave Dahlgren, Eric Thacker, Kris Hulvey. Michel Kohl (Post-Doc), and Ben Crabb (GIS staff)</div>",
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- "description": "<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Native Species Richness Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150681' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150681</span></a><span>. </span></span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE Online Viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/</span></a><span>. </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
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- "description": "<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Terrestrial Endemic Species Index Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816</span></a><span>. </span></span></p><p><span><span>The terrestrial irreplaceability summary depicts the areas of highest irreplaceability within each ecoregion across the state. To achieve this, the data was normalized by taxonomic group and by ecoregion (see Data Sources and Models Used, below). The terrestrial irreplaceability by taxonomic group layers give a statewide overview of irreplaceability for each individual taxonomic group, showing counts of rare endemic species per hexagon and irreplaceability weights (RWI values) for amphibians, birds, mammals, plants, and reptiles. </span></span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE online map viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/</span></a><span>. Note that the names of some rare or endemic species, such as those at risk of over-collection, have been suppressed from the list of species names per hexagon, but are still included in the species counts. </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
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+ "fn": "Adam J Terando",
+ "hasEmail": "mailto:aterando@usgs.gov"
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- "description": "<div style='text-align:Left;'><div><div><p><span>For more information, see the Terrestrial Endemic Species Index Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816</span></a><span>. </span></p><p><span>The terrestrial irreplaceability summary depicts the areas of highest irreplaceability within each ecoregion across the state. To achieve this, the data was normalized by taxonomic group and by ecoregion (see Data Sources and Models Used, below). The terrestrial irreplaceability by taxonomic group layers give a statewide overview of irreplaceability for each individual taxonomic group, showing counts of rare endemic species per hexagon and irreplaceability weights (RWI values) for amphibians, birds, mammals, plants, and reptiles. </span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE online map viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/</span></a><span>. Note that the names of some rare or endemic species, such as those at risk of over-collection, have been suppressed from the list of species names per hexagon, but are still included in the species counts. </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
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- "description": "<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Terrestrial Endemic Species Index Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816</span></a><span>. </span></span></p><p><span><span>The terrestrial irreplaceability summary depicts the areas of highest irreplaceability within each ecoregion across the state. To achieve this, the data was normalized by taxonomic group and by ecoregion (see Data Sources and Models Used, below). The terrestrial irreplaceability by taxonomic group layers give a statewide overview of irreplaceability for each individual taxonomic group, showing counts of rare endemic species per hexagon and irreplaceability weights (RWI values) for amphibians, birds, mammals, plants, and reptiles. </span></span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE online map viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/</span></a><span>. Note that the names of some rare or endemic species, such as those at risk of over-collection, have been suppressed from the list of species names per hexagon, but are still included in the species counts. </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
+ "fn": "Melanie Gogol-Prokurat",
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- "identifier": "13a3442b-1b2a-4820-adeb-aeb47adc1b93",
- "issued": "2020-01-22T19:56:14.000Z",
- "keyword": [
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- "license": "http://www.opendefinition.org/licenses/cc-by",
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+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_63650bafd34ebe442507ce71",
+ "keyword": [
+ "California",
+ "Lassen National Forest",
+ "USGS:63650bafd34ebe442507ce71",
+ "United States",
+ "animal behavior",
+ "biota",
+ "migration (organisms)",
+ "migration route",
+ "migratory species"
+ ],
+ "modified": "2023-10-04T00:00:00Z",
  "publisher": {
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- "name": "California Department of Fish and Wildlife"
- },
- "theme": [
- "Natural Resources"
- ],
- "title": "Terrestrial Bird Irreplaceability - ACE [ds2717]"
- },
- "description": "<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Terrestrial Endemic Species Index Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816</span></a><span>. </span></span></p><p><span><span>The terrestrial irreplaceability summary depicts the areas of highest irreplaceability within each ecoregion across the state. To achieve this, the data was normalized by taxonomic group and by ecoregion (see Data Sources and Models Used, below). The terrestrial irreplaceability by taxonomic group layers give a statewide overview of irreplaceability for each individual taxonomic group, showing counts of rare endemic species per hexagon and irreplaceability weights (RWI values) for amphibians, birds, mammals, plants, and reptiles. </span></span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE online map viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/</span></a><span>. Note that the names of some rare or endemic species, such as those at risk of over-collection, have been suppressed from the list of species names per hexagon, but are still included in the species counts. </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
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+ "title": "California Mule Deer East Tehama Routes"
+ },
+ "description": "The East Tehama herd is the largest migratory population of mule deer in California (Hill and Figura, 2020). Population numbers peaked in the 1960s, but have declined in recent decades (Ramsey and others, 1981; California Department of Fish and Wildlife unpublished data). These mule deer migrate from a lower elevation winter range in the foothills east of the Sacramento Valley to upper elevation summer ranges in the southern Cascades and northern Sierra Nevada. Although portions of the herd winter on the California Department of Fish and Wildlife’s Tehama Wildlife Area and other public lands, the winter range also comprises many private ranchlands. The herd’s summer range includes significant portions of Lassen National Forest as well as Lassen Volcanic National Park and private timberlands. Primarily oak woodlands and annual grasslands characterize the winter range, while the summer range consists of conifer forests, montane meadows, and montane chaparral. Potential threats to the herd include habitat changes resulting from fire management (including fire suppression and catastrophic wildfires), forest succession, vegetation management, and climate change. A small percentage of the herd are residents, inhabiting areas along the Sacramento River and areas of irrigated agriculture.\nThese mapping layers show the location of the migration routes for mule deer (Odocoileus hemionus) in the East Tehama population in California. They were developed from 63 migration sequences collected from a sample size of 33 animals comprising GPS locations collected every 1-23 hours.",
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- "hasEmail": "mailto:geodata@wildlife.ca.gov"
- },
- "description": "<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Native Species Richness Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150681' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150681</span></a><span>. </span></span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE Online Viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/.</span></a><span> </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
+ "fn": "Melinda Martinez",
+ "hasEmail": "mailto:melindamartinez@usgs.gov"
+ },
+ "description": "Data shows CH4 fluxes from the upper portion of cypress knees across various climate and flooding gradients of the North American Baldcypress Swamp Network in the Mississippi River Alluvial Valley. Climate data in the form of temperature, relative humidity, barometric pressure, and precipitation 3-days leading up to sampling date are also included. There various forms to calculate fluxes using cone and frustrum shapes that were compared to LiDAR scans fromi the field, therefore surface area and volume for each geometric shape is also included in the dataset.",
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- "format": "ZIP",
- "mediaType": "application/zip",
- "title": "Terrestrial Native Plant Richness - ACE [ds2704]"
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- "format": "ArcGIS GeoServices REST API",
- "mediaType": "application/octet-stream",
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+ "description": "Landing page for access to the data",
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- "identifier": "f5ccff5f-a1cd-49fc-8900-e3ce085602f1",
- "issued": "2020-01-23T16:55:07.000Z",
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- "wetland"
- ],
- "license": "http://www.opendefinition.org/licenses/cc-by",
- "modified": "2019-10-14T00:00:00.000Z",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6647ad62d34e1955f5a4418e",
+ "keyword": [
+ "Arkansas",
+ "Illinois",
+ "Louisiana",
+ "USGS:6647ad62d34e1955f5a4418e",
+ "carbon",
+ "cypress knees",
+ "cypress swamp",
+ "environment",
+ "freshwater wetlands",
+ "methane"
+ ],
+ "modified": "2024-06-18T00:00:00Z",
  "publisher": {
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- "name": "California Department of Fish and Wildlife"
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- "theme": [
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- ],
- "title": "Terrestrial Native Plant Richness - ACE [ds2704]"
- },
- "description": "<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Native Species Richness Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150681' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150681</span></a><span>. </span></span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE Online Viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/.</span></a><span> </span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
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+ },
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+ ],
+ "title": "Methane emissions associated with bald cypress knees across the Mississippi River Alluvial Valley"
+ },
+ "description": "Data shows CH4 fluxes from the upper portion of cypress knees across various climate and flooding gradients of the North American Baldcypress Swamp Network in the Mississippi River Alluvial Valley. Climate data in the form of temperature, relative humidity, barometric pressure, and precipitation 3-days leading up to sampling date are also included. There various forms to calculate fluxes using cone and frustrum shapes that were compared to LiDAR scans fromi the field, therefore surface area and volume for each geometric shape is also included in the dataset.",
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+ ],
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- "description": "<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Terrestrial Endemic Species Index Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150816</span></a><span>. </span></span></p><p><span><span>The terrestrial irreplaceability summary depicts the areas of highest irreplaceability within each ecoregion across the state. To achieve this, the data was normalized by taxonomic group and by ecoregion (see Data Sources and Models Used, below). The terrestrial irreplaceability by taxonomic group layers give a statewide overview of irreplaceability for each individual taxonomic group, showing counts of rare endemic species per hexagon and irreplaceability weights (RWI values) for amphibians, birds, mammals, plants, and reptiles. </span></span></p><p><span>The user can view a list of species potentially present in each hexagon in the ACE online map viewer </span><a href='https://apps.wildlife.ca.gov/ace/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://apps.wildlife.ca.gov/ace/</span></a><span>. Note that the names of some rare or endemic species, such as those at risk of over-collection, have been suppressed from the list of species names per hexagon, but are still included in the species counts. </span></p><p><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>",
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