AndreaBozzo/ceres-open-data-index huggingface dataset:
NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467)

This data set comprises maps of predicted long-term groundfish biodiversity hotspot probabilities off the Pacific Coast of Oregon. Predicted hotspot probabilities are given for four biodiversity indices: 1) relative abundance, 2) relative biomass, and 3) species number for all groundfishes, and 4) relative abundance for only nearshore groundfishes. The nearshore species assemblage includes: Sand Sole, English Sole, Pacific Sanddab, Speckled Sanddab, Petrale Sole, Starry Flounder, and Butter Sole. Hotspots were defined as areas with predictions in the top 10% of values of at-sea observations.

Areas of relatively high biodiversity were predicted using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Groundfish observations were taken from existing fishery-independent trawl data collected by NOAAâs National Marine Fisheries Service and flatfish trawl data collected by the Oregon Department of Fish and Wildlife. Environmental predictors included position on the shelf, sea floor habitat, depth, slope, aspect, slope of slope, and oceanographic productivity were used to predict areas with relatively high groundfish biodiversity. Binary logistic regression trees were used to associate species observations with environmental covariates and predict categorical results (Hotspot/Low classes). Mapped values indicate the probability of a raster cell belonging in the hotspot class.

Tags: California Current, Eastern Pacific, Groundfish abundance, Groundfish biomass, Groundfish species number, NOAA, Nearshore groundfish abundance, Pacific Northwest, data.gov, earth-science--agriculture--agricultural-aquatic-sciences--fisheries, earth-science--biological-classification--animalsvertebrates--fish, nccos-research-data-type--derived-data-product, nccos-research-data-type--geospatial, nccos-research-data-type--model, nccos-research-location--geographic-area--coastal-ocean, nccos-research-location--geographic-area--continental-shelf, nccos-research-location--geographic-area--deep-sea, nccos-research-location--region--west-coast, nccos-research-location--us-states-and-territories--oregon, nccos-research-priority--marine-spatial-ecology-mse, nccos-research-topic--ecologicalbiological-characterization, nccos-research-topic--predictivespatial-modeling, ocean--pacific-ocean--north-pacific-ocean, oceanography
Organization: National Oceanic and Atmospheric Administration
Artificial Reefs

An artificial reef is a human-made underwater structure, typically built to promote marine life in areas with a generally featureless bottom, control erosion, block ship passage, or improve surfing.
Many reefs are built using objects that were built for other purposes, for example by sinking oil rigs (through the Rigs-to-Reefs program), scuttling ships, or by deploying rubble or construction debris. Other artificial reefs are purpose built (e.g. the reef balls) from PVC or concrete. Shipwrecks may become artificial reefs when preserved on the sea floor. Regardless of construction method, artificial reefs generally provide hard surfaces where algae and invertebrates such as barnacles, corals, and oysters attach; the accumulation of attached marine life in turn provides intricate structure and food for assemblages of fish.

The presence and location of these artificial reefs are not considered to be exact, and have been derived from multiple state websites.

Tags: Atlantic, Gulf of Mexico, NOAA, National, Pacific, United States, United States Territories, artificial, coastal, continent--north-america--united-states-of-america, data.gov, earth-science--human-dimensions--environmental-governancemanagement, fish, fisheries, habitat, haven, marine, oysters, reef, reefs, refugia
Organization: National Oceanic and Atmospheric Administration
Airborne electromagnetic (AEM) Pilot Studies

Airborne electromagnetic (AEM) geophysical data were collected in California as a part of AEM pilot studies. The purpose of the AEM pilot studies was to inform the development of the Department of Water Resources’ (DWR’s) statewide AEM survey project. The AEM pilot studies were conducted in three areas: Butte and Glenn Counties, San Luis Obispo County, and Indian Wells Valley. The AEM surveys were conducted from 2018 through 2020 and were led by Stanford University with participants from the academic and private sectors, and local and state water agencies.  All data used, collected, or created as a part of the AEM pilot studies are provided here.

The AEM pilot studies were funded by grants from DWR, the Ministry of Denmark, and three local agencies (Butte County, Indian Wells Valley Water District, and San Luis Obispo County - Paso Robles). Pilot study participants included Stanford University, Aarhus University, Aqua Geo Frameworks, Ramboll, I-GIS, SkyTEM, University of California Davis, California State University Sacramento, California State University Chico, Parker Groundwater, the Danish Water Technology Alliance, the Danish Environmental Protection Agency, Glenn County Department of Water Resource Conservation, Butte County Department of Water Conservation, Indian Wells Valley Water District, and San Luis Obispo County. 

Tags: AEM, Airborne Electromagnetic, Geophysics
Organization: California Department of Water Resources
California's Groundwater Update 2020 (Bulletin 118)

California's Groundwater Update 2020 (CalGW) is California's foremost technical publication on groundwater in the state of California. CalGW, formally known as Bulletin 118, is legislatively mandated by Water Code 12924 to be updated every 5 years by the California Department of Water Resources. 

This dataset includes the full publication of CalGW - Update 2020, a link to the new [California's Groundwater Live](https://sgma.water.ca.gov/CalGWLive/) platform and all supporting data used in the creation of the report which was finalized on November 16, 2021. CalGW - Update 2020 consists of an Executive Summary (Highlights) and seven chapters commonly referred to as the Statewide Report. Due to the large file sizes, the Update has been broken into multiple pdf documents for the ease of downloading these large files. 

For more information on California's Groundwater (Bulletin 118) including historical publications please visit [California's Groundwater (Bulletin 118) Open Data Page](https://data.cnra.ca.gov/dataset/california-s-groundwater-bulletin-118-archive). 

Tags: Bulletin 118, CalGW, DWR, Department of Water Resources, SGMA, Sustainable Groundwater Management, groundwater, water
Organization: California Department of Water Resources
Salmonid Population Monitoring Areas - California - CMP [ds3001] Extended Table

The California Monitoring Plan (CMP) salmonid monitoring areas and associated population data are part of an ongoing effort to summarize existing and past salmonid monitoring efforts in the areas identified by Adams et al. 2011. These data are compiled and maintained by the California Department of Fish and Wildlife with the cooperation of monitoring practitioners. Updates and associated outreach are intended to occur on an annual basis. Data were created from several sources and existing datasets: some monitoring areas were accurately depicted using the USGS National Hydrography Dataset (NHD), other monitoring areas were approximated using the monitoring point location and the USGS StreamStats tool to depict the watershed area above that point. The areas are intended to represent the approximate extent of sampling within sub-basins, watershed areas, or regions. For example, the spatial extent of monitoring using a fixed count station is approximated by accounting for all anadromous fish habitat upstream of the sampling location. Therefore, the area is approximated by entering the monitoring location coordinates into the StreamStats tool. The resulting shapefile is then examined to ensure the watershed area did not include habitat above dams or barriers to migration. Areas were clipped when needed. The data user should recognize that errors may have occurred during production of this dataset, changes may have occurred to the external sources used post transfer, and for other possible reasons. The population metrics summarized in the associated tabular data may be regarded as spatially limited, temporally limited, and not considered a complete estimate for the population being described. The data user is advised to refer to the annual reports cited in the Source field from the tabular data for additional details regarding monitoring within the area spatially depicted.Abbreviation Definitions: SGS = Spawning Ground Survey, RM = River Mile, RST = Rotary Screw Trap, RKM = River Kilometer, FCS = Fixed Count Station, STH = Steelhead, CC = Coastal Chinook, DS = Downstream

Tags: anadromous, authcdfw, california department of fish and wildlife, california monitoring plan, california natural resources agency, caopendata, cdfw, chinook salmon, coho salmon, ds300120220304wm, fixed count station, juvenile outmigration, monitoring locations, pit tag array, population monitoring, salmonids, snorkel survey, spawning survey, steelhead, viable salmonid population
Organization: California Department of Fish and Wildlife
Salmonid Population Monitoring Areas - California - CMP [ds3001]

The California Monitoring Plan (CMP) salmonid monitoring areas and associated population data are part of an ongoing effort to summarize existing and past salmonid monitoring efforts in the areas identified by Adams et al. 2011. These data are compiled and maintained by the California Department of Fish and Wildlife with the cooperation of monitoring practitioners. Updates and associated outreach are intended to occur on an annual basis. Data were created from several sources and existing datasets: some monitoring areas were accurately depicted using the USGS National Hydrography Dataset (NHD), other monitoring areas were approximated using the monitoring point location and the USGS StreamStats tool to depict the watershed area above that point. The areas are intended to represent the approximate extent of sampling within sub-basins, watershed areas, or regions. For example, the spatial extent of monitoring using a fixed count station is approximated by accounting for all anadromous fish habitat upstream of the sampling location. Therefore, the area is approximated by entering the monitoring location coordinates into the StreamStats tool. The resulting shapefile is then examined to ensure the watershed area did not include habitat above dams or barriers to migration. Areas were clipped when needed. The data user should recognize that errors may have occurred during production of this dataset, changes may have occurred to the external sources used post transfer, and for other possible reasons. The population metrics summarized in the associated tabular data may be regarded as spatially limited, temporally limited, and not considered a complete estimate for the population being described. The data user is advised to refer to the annual reports cited in the Source field from the tabular data for additional details regarding monitoring within the area spatially depicted.Abbreviation Definitions: SGS = Spawning Ground Survey, RM = River Mile, RST = Rotary Screw Trap, RKM = River Kilometer, FCS = Fixed Count Station, STH = Steelhead, CC = Coastal Chinook, DS = Downstream

Tags: anadromous, authcdfw, california department of fish and wildlife, california monitoring plan, california natural resources agency, caopendata, cdfw, chinook salmon, coho salmon, ds300120220304wm, fixed count station, juvenile outmigration, monitoring locations, pit tag array, population monitoring, salmonids, snorkel survey, spawning survey, steelhead, viable salmonid population
Organization: California Department of Fish and Wildlife
Regional Transportation Planning Agencies

The list of California Transportation Planning Agencies is current as of February, 2014, provided by Division of Transportation Planning, Office of Regional and Interagency Planning. With the exception of Tahoe Regional Planning Agency (TRPA*), all of the RTPA boundaries follow county boundaries, some RTPA are multi-county.<div><br /></div><div>Data downloaded in December 2022 from <a href='https://gisdata-caltrans.opendata.arcgis.com/datasets/eade3fe45fa046418063d47846dd4c21_0/about' target='_blank' rel='nofollow ugc noopener noreferrer'>https://gisdata-caltrans.opendata.arcgis.com/datasets/eade3fe45fa046418063d47846dd4c21_0/about</a>. </div>

Tags: CAOpenData, California Energy Commission, California Natural Resources Agency, FTD, NEVI
Organization: California Energy Commission
Mosquito 2022 DINS Public View Placer County

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective
 January 1, 2019 all structure greater than 120 square feet in the State
 Responsibility Area (SRA) damaged by wildfire will be inspected and 
documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the Mosquito wildland fire open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b>
 - this feature service is configured to not allow record deletion. If a
 record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This
 is the schema developed and used by the CAL FIRE Office of State Fire 
Marshal to assess and record structure damage on wildland fire 
incidents. The schema is designed to be configured in the Esri 
Collector/Field Maps app for data collection during or after an 
incident.<font size='3'><br /></font></div>

Tags: 2022, CAL FIRE, DINS, Mosquito, OSFM, Office of the State Fire Mrshal, will be deleted on April 30 2025 unless tag is removed
Organization: California Department of Forestry and Fire Protection
Mosquito 2022 DINS Public View El Dorado County

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the Mosquito wildland fire open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b> - this feature service is configured to not allow record deletion. If a record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on wildland fire incidents. The schema is designed to be configured in the Esri Collector/Field Maps app for data collection during or after an incident.<font size='3'><br /></font></div>

Tags: 2022, CAL FIRE, DINS, Mosquito, OSFM, Office of the State Fire Mrshal, will be deleted on April 30 2025 unless tag is removed
Organization: California Department of Forestry and Fire Protection
Mill Mountain 2022 DINS Public View

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the Mill wildland fire open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b> - this feature service is configured to not allow record deletion. If a record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on wildland fire incidents. The schema is designed to be configured in the Esri Collector/Field Maps app for data collection during or after an incident.<font size='3'><br /></font></div>

Tags: 2022, CAL FIRE, DINS, Mill, Mountain, OSFM, Office of the State Fire Mrshal, will be deleted on April 30 2025 unless tag is removed
Organization: California Department of Forestry and Fire Protection
McKinney 2022 DINS Public View

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the McKinney wildland fire open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b> - this feature service is configured to not allow record deletion. If a record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on wildland fire incidents. The schema is designed to be configured in the Esri Collector/Field Maps app for data collection during or after an incident.<font size='3'><br /></font></div>

Tags: 2022, CAL FIRE, DINS, McKinney, OSFM, Office of the State Fire Mrshal, will be deleted on April 30 2025 unless tag is removed
Organization: California Department of Forestry and Fire Protection
Greenhorn Mountains Slender Salamander Range - CWHR A074 [ds1184]

<div style='text-align:Left;'><div><div><p style='margin:0 0 14 0;'><span><span>Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (</span><a href='https://www.wildlife.ca.gov/Data/CWHR' style='text-decoration:underline;' rel='nofollow ugc'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.</span></span></p></div></div></div>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS1184_20160222_wm, amphibian, cn Greenhorn Mountains Slender Salamander, habitat, natural resources, sn Batrachoseps altasierrae, species, wildlife
Organization: California Department of Fish and Wildlife
Coastal Steelhead Trout Watersheds [ds962]

<div style='text-align:Left;'><div><div><p><span>This data set is an extract of the California Watershed (calwater) dataset. It has been generalized to hydrologic sub-areas for those watersheds that are considered part of the coastal steelhead trout range.</span></p></div></div></div>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS0962_20221213_wm, Fish
Organization: California Department of Fish and Wildlife
Coho Salmon Watersheds [ds961]

<div style='text-align:Left;'><div><div><p><span>This data set is an extract of the California Watershed (calwater) dataset. It has been generalized to hydrologic sub-areas for those watersheds that are considered part of the historical coho salmon range.</span></p></div></div></div>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS0961_20221213_wm, Fish
Organization: California Department of Fish and Wildlife
DWR Urban Water Use Objective Analyzer Tool

With the enactment of Senate Bill 606 (Hertzberg) and Assembly Bill 1668 (Friedman) in 2018, California established a new framework for long term urban water use efficiency and conservation. This landmark legislation required the Department of Water Resources (DWR), in coordination with the State Water Board, to develop recommendations for new urban water use efficiency standards that would result in lower aggregate statewide urban water use than achieved by the SB X7-7 statewide 2020 target.

DWR developed the DWR Urban Water Use Objective Analyzer tool to, among other things, evaluate alternative water use efficiency standards in relation to the statewide SB X7-7 water use target for 2020. This spreadsheet model utilizes the various data sources to estimate Urban Water Use Objective and Objective Based Total Water Use for the State’s urban retail water supplier. The "Read Me" tab of the spreadsheet provides description of the data sources used in the Objective Analyzer Tool.

To use the model to evaluate different scenarios, users can input varying assumptions in yellow boxes on the "Dashboard" worksheet. This worksheet also summarizes the model's outputs. This is the only worksheet where the user can modify model inputs. The other worksheets store data or perform calculations. All worksheets in the DWR Urban Water Use Objective Analyzer, except for the Dashboard worksheet, are password protected to prevent inadvertent changes to data and formulas. Users are expected to download the excel file to their local computer before entering new values on the Dashboard worksheets.

For additional details, see DWR reports “Recommendations for Urban Water Use Efficiency Standards, Variances, Performance Measures, and Annual Water Use Reporting (Report No. WUES-DWR-2021-01A)” and “Recommendations for Outdoor Residential Water Use Efficiency Standard (Report No. WUES-DWR-2021-02)” at https://water.ca.gov/Programs/Water-Use-And-Efficiency/2018-Water-Conservation-Legislation/Urban-Water-Use-Efficiency-Standards-Variances-and-Performance-Measures.

Tags: objectives, standards, urban water use, water conservation, water use, water use efficiency, wue
Organization: California Department of Water Resources
Region Land Use Surveys

This is collection of  DWR  Region Land Use Surveys. These include several county land use surveys, In addition, you may scroll the list below to download any individual survey of  interest. Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer.
For Statewide Crop Mapping follow the link below : https://data.cnra.ca.gov/dataset/statewide-crop-mapping
For County Land Use Surveys follow link below: https://data.cnra.ca.gov/dataset/resources/county-land-use-surveys
Questions about the survey data may be directed to Landuse@water.ca.gov. 

Tags: DWR, californa, county surveys, crop mapping, land use
Organization: California Department of Water Resources