AndreaBozzo/ceres-open-data-index huggingface dataset:
Southern Sea Otter Stranding Database

This dataset is a record of all verified stranded (live sick/injured, dead beached/floating) southern sea otters (Enhydra lutris nereis) in California. The data collected include the date and location of stranding, condition, age class and sex of the animal, morphometrics, and very general external and internal necropsy findings. These data have been collected continually since 1968 and are used to identify unusual mortality events, track causes of anthropogenic mortality for mitigation, and inform resource managers about the extent and causes of mortality affecting the southern sea otter population. These data may also be used during or after an oil spill for Natural Resource Damage Assessment purposes, or to inform best achievable recovery and care of live animals. Prior to 2019, the data were managed by the U.S. Geological Survey (USGS) and data from 1985 to 2018 are available on the USGS website. Data from the earliest years are not yet available in a standardized electronic format, but a subset of the database from 2019 onward is available through this portal. A stranding summary report is also provided for each year starting in 2019.

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000394. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.

Tags: california, california-department-of-fish-and-wildlife, dmp, mortality, sea-otter, southern-sea-otter, strand
Organization: State of California
California State Fleet

This dataset contains information on all non-confidential assets within the California State Vehicle Fleet. The purpose of this data is to provide vehicle information including sustainability measurements such as fuel types. The data is extracted from the Fleet Asset Management System utilized by the Department of General Services’ Office of Fleet and Asset Management. The dataset covers the timeframe from the calendar year 2015 until the calendar year 2024 and includes vehicle information reported by all agencies under the executive branch and constitutional offices.

Tags: ca-fleet-data, california, fams, fleet, fleet-asset, fleet-asset-management-system, government-vehicles, mileage, vehicle
Organization: State of California
Driver Licenses Outstanding by County

This dataset represents valid driver licenses and identification cards that have not expired within the past 90 days. The identification card count includes individuals who hold only an identification card as well as those who possess both an identification card and a driver's license. While licenses are not issued by county, the dataset reflects the number of valid licenses with a 'county of residence' indicator, which is typically derived from the residence address on record, or the mailing address if a residence address is unavailable.

Tags: driver-licenses, highways, identification-cards, road-usage, roads, vehicles
Organization: State of California
California Grants Portal Grant Awards 2022-2023

Per AB132 grantmakers are required to submit data about each awardee for grants that close on or after July 1, 2022. Visit the Glossary on https://www.grants.ca.gov/glossary to review post award data elements. You can view post award data at the bottom of the grant details page. Note that grantmakers may take up to one year to submit post award data. This grant award data is only for Fiscal Year 2022-2023.

Tags: 2022-2023, business, california-grants-portal, grantaward, grants, individual, loans, nonprofit, publicagency, tribalgovernment
Organization: State of California
Occupational Employment and Wage Statistics (OEWS)

The Occupational Employment and Wage Statistics (OEWS) Survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). The BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OEWS survey make these estimates possible.

The OEWS survey collects data from a sample of establishments and calculates employment and wage estimates by occupation, industry, and geographic area. The semiannual survey covers all non-farm industries. Data are collected by the Employment Development Department in cooperation with the Bureau of Labor Statistics, US Department of Labor. The OEWS Program estimates employment and wages for approximately 830 occupations. It also produces employment and wage estimates for statewide, Metropolitan Statistical Areas (MSAs), and Balance of State areas. Estimates are a snapshot in time and should not be used as a time series.

The OEWS estimates are published annually.

__SOURCE: https://www.bls.gov/oes/oes_emp.htm__

Tags: bls, occupational-employment-and-wage-statistics, occupational-employment-statistics, occupational-employment-survey-estimates, occupational-employment-wage-statistics-estimates, oes, oes-survey, oews, oews-survey, oews-wage-estimates, wages
Organization: State of California
Analysis of Pre-Retrofit Building and Utility Data - Southeast United States

This project delves into the workflow and results of regression models on monthly and daily utility data (meter readings of electricity consumption), outlining a process for screening and gathering useful results from inverse models. Energy modeling predictions created in Building Energy Optimization software (BEopt) Version 2.0.0.3 (BEopt 2013) are used to infer causes of differences among similar homes. This simple data analysis is useful for the purposes of targeting audits and maximizing the accuracy of energy savings predictions with minimal costs. 

The data for this project are from two adjacent military housing communities of 1,166 houses in the southeastern United States. One community was built in the 1970s, and the other was built in the mid-2000s. Both communities are all electric; the houses in the older community were retrofitted with ground source heat pumps in the early 1990s, and the newer community was built to an early version of ENERGY STAR with air source heat pumps. The houses in the older community will receive phased retrofits (approximately 10 per month) in the coming years. All houses have had daily electricity metering readings since early 2011.

This project explores a dataset at a simple level and describes applications of a utility data normalization. There are far more sophisticated ways to analyze a dataset of dynamic, high resolution data; however, this report focuses on simple processes to create big-picture overviews of building portfolios as an initial step in a community-scale analysis.

TO4 9.1.2: Comm. Scale Military Housing Upgrades

Tags: all-climate, ashrae-guideline-14, beopt, building, building-america, building-energy-optimization, buildingamerica, cold, community, consumption, data, data-modeling, efficiency, energy-modeling, energy-savings, existing-home, hers, hot-dry, hot-humid, inverse-modeling-toolkit, marine, mixed-humid, model, multifamily, new-construction, normalization, raw-data, residential, retrofit, single-family, sliding-regression, utility-data, very-cold, weather-normalization
Organization: Department of Energy
Lithium-Ion Battery discharging using commonly available salts for application in field use.

Transportation of damaged, defective, or recalled (DDR) lithium-ion batteries (LIBs) of is an important emerging issue as the use of electronic vehicles (EVs) and other LIB based items proliferate. Additionally, since these battery cathodes are made up of lithium nickel manganese cobalt oxide (NMC), lithium iron phosphate (LFP), lithium manganese oxide (LMO), and lithium cobalt oxide (LCO), there is an interest in the safe recovery of critical minerals, such as lithium, cobalt, and nickel, and other scarce resources from this source. These DDR LIBs must be de-energized to safe voltage levels, identified as below 1.0 V, to reduce the risk of fire and explosion during transport from crash sites, floods, wildfires, etc. Sodium chloride (NaCl) solutions are typically used to electrochemically discharge LIBs, but these solutions can cause battery terminals to corrode, leading to solid residue, fluoride ion buildup, release of toxic gases to the air, and release of corrosion solids and battery electrolytes into the solution. Because of these drawbacks, alternatives for discharging DDR LIBs must be sought. In this project, different LIB discharge methods identified in the literature will be tested for their ability to adequately de-energize DDR LIBs to a safe level, and the environmental effects of these methods (e.g., off-gassing, waste, etc.) will be evaluated to find an effective, safe, and environmentally-sound replacement for NaCl solutions. The potential alternatives that have been identified are iron sulfate (FeSO4), sodium bicarbonate (NaHCO3), magnesium chloride (MgCl2), sodium hydroxide (NaOH) and sugar. These were specifically identified as each is readily available are common grocery or home goods stores and would thus be available to on-scene coordinators responding to a disaster scene. The environmental impact of these different discharging methodologies will be evaluated via the analysis of any byproduct formation and monitoring of physical battery condition during discharge. 

Tags: corrosion, critical-minerals, lithium-ion-batteries, recycling
Organization: U.S. Environmental Protection Agency
Chemical and isotopic analyses of metasomatized ultramafic xenoliths and Quaternary backarc lavas from southern Peru

Newly recovered xenoliths from the modern backarc region in southern Peru were collected to investigate the metasomatic history of the northern Altiplano lithosphere and improve constraints on the formation of recent potassic magmatism in the region. The xenoliths described here were collected from a Quaternary latite lava flow near Huarocondo, Peru and include calcite-bearing phlogopite-orthopyroxenites, harzburgites, a wehrlite, and a phlogopite schist. Xenoliths were analyzed for C and O stable isotope ratios of calcite,  H stable isotope ratios of phlogopite, and Sr isotope ratios of calcite, silicates, and phlogopite separates. Mineral chemical analyses where performed on orthopyroxenite and harzburgite xenoliths via electron microbrobe, and bulk rock trace element analyses of all xenoliths were performed via ICPMS. New bulk rock major and trace element analyses of four Quaternary lavas flows belonging to the Rumicolca Formation are also presented. For a detailed discussion of the research motivation, geologic background, analytical techniques, and interpretations, please refer to the related publication. 

This dataset is associated with the following publication:
Hiett, C., D. Newell, and J. Shervais. Metasomatism and Melting of Cordilleran Lithosphere Resulting From Sediment Relamination During Shallow Subduction.   Geochemistry, Geophysics, Geosystems (G3). American Geophysical Union, Washington, DC, USA, 26(7): e2025GC012300, (2025).

Tags: alkaline-volcanism, altiplano, andes, mantle-metasomatism, stable-isotopes, xenoliths
Organization: U.S. Environmental Protection Agency
2021GHpilot_FinalRawData_RAPIDS

The data presented in the workbook were from a ACESD/CEMM/ORD 2021 research project conducted in mesocosms in the greenhouse to examine relationships between the presence/absence of oysters (Crassostrea virginica) and ambient/tempered seawater on the growth of eelgrass, Zostera marina.

Tags: eelgrass, nutrients, oysters, water-temperature
Organization: U.S. Environmental Protection Agency
Figures 1-3 and example code for Observed chlorophyll vs. Sentinel 2 estimated chlorophyll

This dataset provides example code for regression analysis of observed versus estimated chlorophyll from Sentinel 2 satellite imagery based on three different algorithms.  In addition, data used in the production of figures 1-3 of Wolters et al. (2025) Evaluation of atmospheric preprocessing methods and chlorophyll algorithms for Sentinel 2 imagery in coastal waters, submitted to journal Remote Sensing.

Tags: algorithms, atmospheric-correction, chlorophyll, estuary, remote-sensing
Organization: U.S. Environmental Protection Agency
Penobscot River, Maine, USA Shade Buffers Dataset with Metadata

High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation and protection, and to predict the effects of weather variation and management actions on coldwater habitat.  EPA has been working with the Penobscot tribe and Maine Temperature Monitoring Working Group to plan development of a fine scale temperature model for the Penobscot River basin in Maine.  This suite of datasets with supporting Python code provides calibration and prediction covariates for a fine resolution SSN model for the Penosbscot.  Included are  estimates of effective shade from both topographic and vegetation features for different upstream extents (based on both distance and time of travel).  At this point model development has not been initiated.

Tags: penobscot-river, shading, streams, temperature-model
Organization: U.S. Environmental Protection Agency
Spatial Stream Network Object Supporting Stream Temperature Model for Penobscot River Basin, Maine, USA

High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation and protection, and to predict the effects of weather variation and management actions on coldwater habitat.  EPA has been working with the Penobscot tribe and Maine Temperature Monitoring Working Group to plan development of a fine scale temperature model for the Penobscot River basin in Maine.  This suite of datasets with supporting Python code provides calibration and prediction covariates for a fine resolution SSN model for the Penosbscot.  Included are an SSN object with catchment covariates, associated Python code and metadata.  At this point model development has not been initiated.

Tags: penobscot-river, shading, streams, temperature-model
Organization: U.S. Environmental Protection Agency
PFAS in Delaware Bay Bivalves

PFAS data in bivalves from the Delaware Bay. This dataset is not publicly accessible because: Not EPA data. It can be accessed through the following means: Contact Miling Li, University of Delaware - https://www.miling-li.com/. Format: NA. 

This dataset is associated with the following publication:
Jones, S.E., N. Gutkowski, S. Demick, M. Curello, A. Pavia, A. Robuck, and M. Li. Assessing Bivalves as Biomonitors of Per- and Polyfluoroalkyl Substances in Coastal Environments.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(10): 5202 - 5213, (2025).

Tags: pfas
Organization: U.S. Environmental Protection Agency
ShahSanjivkumar_HS.402.1.1.22 _Data-Metadata_Development of HTM-Yp-Ft_Manuscript-20250507

A High-throughput Method (HTM) for processing Sponge-Stick Samples to detect Bacillus anthracis - spore-forming biothreat agent for anthrax - was recently developed. The current dataset is for a manuscript which describes how the High-throughput Method (HTM) developed for the spore-forming biothreat agent was adapted and evaluated for the non-spore forming biothreat agents, Yersinia pestis (causes Plague) and Francisella tularensis (causes Tularemia). 

This dataset is associated with the following publication:
Brisson, V., S. Kane, M. Calfee, S. Cendrowski, and S. Shah. Evaluation of a High-Throughput Processing Method for Sponge-Stick Samples to Detect Viable, Non-Spore-Forming Biothreat Agents.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 236: 107194, (2025).

Tags: emergency-response, high-throughput, methods-development, plague, sample-processing
Organization: U.S. Environmental Protection Agency
Ambient NO2 and formaldehyde vertical column retrieved from Pandora sun photometer collected radiances and in situ measurements derived from mid-IR spectroscopy.

The links in this ScienceHub entry provide a path to access archived data collected by EPA ORD researchers contributing to this publication. These include datasets collected in  New Jersey, Connecticut and New York. These data collection efforts contributed to the larger Long Island Sound Tropospheric Ozone Study (LISTOS), 2023. 

The data files relevant to this publication are those archiving ground-based in situ formaldehyde data measurements and the Pandora level 0 radiance measurements, from which total column formaldehyde is retrieved, and compared to that retrieved from airborne and satellite-based radiance measurements.

Each dataset has a DOI included in its metadata, with contract information for relevant principal investigators and data managers. These DOI are generated by NASA and by the Pandonia Global Network through collaborations with EPA Office of Research and Development. 

This dataset is associated with the following publication:
Tao, M., A. Fiore, A. Karambelas, P. Miller, L. Valin, L. Judd, M. Tzortziou , A. Whitehill, A. Teora, Y. Tian, K. Civerolo, D. Tong, S. Ma, S. Adamo, and T. Holloway. Insights Into Summertime Surface Ozone Formation From Diurnal Variations in Formaldehyde and Nitrogen Dioxide Along a Transect Through New York City.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 130(9): e2024JD040922, (2025).

Tags: air-pollution, diurnal-patterns, formaldehyde, nitrogen-dioxide, ozone-formation
Organization: U.S. Environmental Protection Agency
LA-ICP-MS uranium-lead geochronologic data of detrital zircon from a metamorphic rock in the northern Fairbanks mining district, Circle Quadrangle, Alaska

LA-ICP-MS uranium-lead geochronologic data of detrital zircon from a metamorphic rock in the northern Fairbanks mining district, Circle Quadrangle, Alaska, Raw Data File 2025-16, provides uranium-lead (U-Pb) geochronologic single spot zircon data, analyzed using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS). The detrital zircon (DZ) data come from a metamorphic rock from the Alaska Division of Geological & Geophysical Surveys' (DGGS) geologic mapping project in the northern Fairbanks mining district, covering parts of the Circle A-4, A-5, B-4, and B-5 quadrangles, Alaska. Sample 07JEA354a was collected by the DGGS Mineral Resources Section during a detailed geologic mapping campaign in June 2007. The zircon grain data table contains isotopic and elemental data for each zircon spot analyzed. Both tables have accompanying data dictionaries. These data and report are available from the DGGS website: http://doi.org/10.14509/31685.

Tags: age dates, amphibolite, amphibolite facies units, analyses, analyses and sampling, analytical lab results, analytical results, archean, cambrian, detrital zircon, dggs, exploration, fairbanks mining district, feldspar, geochronology, geologic, geology, isotopes, lab methods, metamorphic, metamorphic deposit, metamorphic rocks, metamorphism, metasedimentary rocks, methods, mineral composition, mineral exploration, mineral resources, mineralogy, minerals, mining, mount ryan, proterozoic, quartz, quartzite, resource assessment, rocks, sample location, schist, statemap project, u-pb, uranium, yukon-tanana upland, zircon, zircon u-pb
Organization: State of Alaska
LA-ICP-MS uranium lead geochronologic data of zircon from igneous and meta-igneous rocks in the Chena project area, Circle, Big Delta, and Eagle quadrangles, Alaska

LA-ICP-MS uranium lead geochronologic data of zircon from igneous and meta-igneous rocks in the Chena project area, Circle, Big Delta, and Eagle quadrangles, Alaska, Raw Data File 2025-14, provides uranium-lead (U-Pb) geochronologic data from single zircon spots, analyzed using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Alaska Division of Geological & Geophysical Surveys (DGGS) staff collected zircon data from 22 igneous and meta-igneous rock samples, primarily collected during the 2023 field season, to support the Earth Mapping Resources Initiative (Earth MRI) Chena project. Two samples were analyzed to support geologic interpretation in the Mount Harper (2022) project area. Crystallization age data are organized in the age summary data table with our interpreted crystallization ages, sample location information, and sample descriptions. The zircon grain data table contains isotopic and elemental data for each zircon spot analyzed. Both tables have accompanying data dictionaries. These data and report are available from the DGGS website: http://doi.org/10.14509/31553.

Tags: age dates, analyses, analyses and sampling, analytical lab results, analytical results, anderson creek, angel creek, anvil creek, batholith, bedrock, bedrock geology, blackshell creek, caribou creek, cash creek, chena hot springs, chena river, clearwater creek, dan creek, deep creek, dexter creek, dggs, early cretaceous, eisenmenger fork, gabbro, geochronology, geologic, geology, glacier creek, globe creek, gold creek, goodpaster river, granite, granite creek, granite tors, granodiorite, greenstone, hunts creek, late cretaceous, marten creek, mascot creek, mineral composition, mineral exploration, mineral resources, mineralogy, minerals, mining, mississippian, monument creek, moose creek, orthogneiss, paldo creek, paleocene, phyllite, pleasant creek, porcupine creek, porphyry, reservoir, resource assessment, resource information, resources, rhoads creek, ricks creek, rock creek, salcha river, sample location, sawmill creek, shaw creek, slate creek, stiles creek, stone boy creek, stuart creek, tibbs creek, tonalite, u-pb, zircon
Organization: State of Alaska
Cook County - Forest Preserve Shelters - Historical

This dataset is no longer maintained. For current geographic data about Cook County Forest Preserves, we recommend <a href="https://hub-cookcountyil.opendata.arcgis.com/search?q=Forest%20Preserve%20District" target="_blank">this site</a>.

Shelters within the Forest Preserve District of Cook County. To view or use these shapefiles, compression software and special GIS software, such as ESRI ArcGIS, is required.

Tags: county, forest-preserves, gis, historical, shapefiles, sustainability
Organization: City of Chicago
Cook County - Forest Preserve Groves - Historical

This dataset is no longer maintained. For current geographic data about Cook County Forest Preserves, we recommend <a href="https://hub-cookcountyil.opendata.arcgis.com/search?q=Forest%20Preserve%20District" target="_blank">this site</a>.

Groves within the Forest Preserve District of Cook County. To view or use these shapefiles, compression software and special GIS software, such as ESRI ArcGIS, is required.

Tags: county, forest-preserves, gis, historical, shapefiles, sustainability
Organization: City of Chicago