AndreaBozzo/ceres-open-data-index huggingface dataset:
LAHD Propery Look-Up for Violations

Property Look-Up is information provided to the Los Angeles Housing Department (LAHD) for properties that are located within the City of Los Angeles. Although we strive to provide information that is accurate, reliable, and complete, information provided to the Department may not be up-to-date or the information reported to the Department is incorrect. If you do not find what you are looking for, please visit LAHD Online Services or submit an email inquiry to ASK HOUSING. Data is being provided for informational purposes only. The data does not indicate an application was approved or that a violation was found by LAHD.

Organization: City of Los Angeles
Crime Data from 2010 to 2019

******Notice: Transition to NIBRS-Compliant Crime Data Reporting
The Los Angeles Police Department (LAPD) has completed its transition from the legacy Records Management System, which reported crime and arrest data under Uniform Crime Reporting (UCR) standards, to a modernized system fully aligned with the National Incident-Based Reporting System (NIBRS).
As part of this transition, the legacy system is no longer active, and no new information will be entered. Consequently, the Crime Data from 2010 to 2019 dataset will no longer be updated. It will remain available on the portal for historical reference only.
To provide the public with current and comprehensive information, LAPD now publishes datasets sourced directly from the new Records Management System in accordance with NIBRS standards. These datasets were introduced in October 2024 and are refreshed on a bi-weekly schedule:
•	[LAPD NIBRS Offenses Dataset | Los Angeles Open Data Portal]
•	[LAPD NIBRS Victims Dataset | Los Angeles Open Data Portal]
The adoption of NIBRS ensures LAPD crime and arrest data meet national standards, enhancing transparency, accuracy, and accessibility for the public.
******

On March 7th, 2024, the Los Angeles Police Department (LAPD)  adopted a new Records Management System for reporting crimes and arrests. This new system is implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs).

This dataset reflects incidents of crime in the City of Los Angeles from 2010 - 2019. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

Tags: crime, crime-data, crimes, lapd, police, safe-city
Organization: City of Los Angeles
Building Footprint

<DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>Polygon geometry displaying Building Footprints in East Baton Rouge Parish, Louisiana.</SPAN></P><P><SPAN /></P><P><A href="https://city.brla.gov/gis/metadata/BUILDING.html" STYLE="text-decoration:underline;"><SPAN>Metadata</SPAN></A></P></DIV>

Tags: building, ebrp, footprint, gis, housing
Organization: City of Baton Rouge
2020 U.S. Census Block Adjustments

This dataset lists the total population 18 years and older by census block in Connecticut before and after population adjustments were made pursuant to Public Act 21-13. PA 21-13 creates a process to adjust the U.S. Census Bureau population data  to allow for most individuals who are incarcerated to be counted at their address before incarceration. Prior to enactment of the act, these inmates were counted at their correctional facility address.

The act requires the CT Office of Policy and Management (OPM) to prepare and publish the adjusted and unadjusted data by July 1 in the year after the U.S. census is taken or 30 days after the U.S. Census Bureau’s publication of the state’s data. 

A report documenting the population adjustment process was prepared by a team at OPM composed of the Criminal Justice Policy and Planning Division (OPM CJPPD) and the Data and Policy Analytics (DAPA) unit. The report is available here: https://portal.ct.gov/-/media/OPM/CJPPD/CjAbout/SAC-Documents-from-2021-2022/PA21-13_OPM_Summary_Report_20210921.pdf

Note: On September 21, 2021, following the initial publication of the report, OPM and DOC revised the count of juveniles, reallocating 65 eighteen-year-old individuals who were incorrectly designated as being under age 18. After the DOC released the updated data to OPM, the report and this dataset were updated to reflect the revision.

Tags: census, correction, election, redistricting, voting
Organization: State of Connecticut
Addressing Services

<font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, Helvetica, Arial, sans-serif'><span style='font-size: 17px;'>Link to addressing information for Sioux Falls, South Dakota.</span></font>

Tags: address, lincoln, minnehaha, property, sd, sioux-falls, south-dakota
Organization: City of Sioux Falls
Hate Crimes by County and Bias Type: Beginning 2010

Under New York State’s Hate Crime Law (Penal Law Article 485), a person commits a hate crime when one of a specified set of offenses is committed targeting a victim because of a perception or belief about their race, color, national origin, ancestry, gender, religion, religious practice, age, disability, or sexual orientation, or when such an act is committed as a result of that type of perception or belief. These types of crimes can target an individual, a group of individuals, or public or private property.
DCJS submits hate crime incident data to the FBI’s Uniform Crime Reporting (UCR) Program. Information collected includes number of victims, number of offenders, type of bias motivation, and type of victim.

Tags: hate-crime, public-safety, ucr
Organization: State of New York
Utility Energy Registry Monthly County Energy Use: Beginning 2021

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315. The order requires utilities and CCA administrators under its regulation to develop and report community energy use data to the UER. 

This dataset includes electricity and natural gas usage data reported by utilities at the county level. Other UER datasets include energy use data reported at the city, town, and village, and ZIP code level.  

Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community.  It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Tags: accounts, capacity, cca, city, community, community-choice-aggregation, consumption, distributed-energy-resources, electricity, energy, icap, load, monthly, mwh, natural-gas, therms, town, uer, utility-energy-registry, village
Organization: State of New York
Mercury, cortisol, and blood biomarkers in adult female northern elephant seals from 2011 to 2021

This dataset represents 179 unique adult female northern elephant seals that were sampled between 2011 and 2021 during four different life history states (early breeding, late breeding, early molting, and late molting) at the Ano Nuevo colony in California, USA. Some individual seals were sampled multiple times, resulting in a total of 313 tissue samples. Tissue samples were collected from seals and quantified for total mercury (whole blood and muscle), cortisol (serum), and 10 blood biomarkers (total thyroxine, total triiodothyronine, reverse triiodothyronine, immunoglobulin E, immunoglobulin G, immunoglobulin M, interleukin-6, interleukin-1-beta, progesterone, and estradiol).

Tags: bioacumulation, biota, contamination-and-pollution, ecotoxicology, marine-mammal, mercury-contaminaion, methyl-mercury, stress-physiology, usgs-642b18e6d34ee8d4add043e6
Organization: Department of the Interior
Harmonized Tariff Schedule of the United States (2025)

This dataset is the current 2025 Harmonized Tariff Schedule plus all revisions for the current year.  It provides the applicable tariff rates and statistical categories for all merchandise imported into the United States; it is based on the international Harmonized System, the global system of nomenclature that is used to describe most world trade in goods.

Tags: hts, product-classification, tariff-schedule
Organization: US International Trade Commission
Withstanding megafires: Fishes thrive and amphibians persist in severely burned watersheds

Data on invertebrate assemblages from thirty sites in western Oregon sampled post-wildfire. 

This dataset is associated with the following publication:
Swartz, A., A. Coble, B. Penaluna, R. Flitcroft, J. Ebersole, and M. Krawchuk. Following megafires fishes thrive and amphibians persist even in severely burned watersheds.   Communications Earth & Environment. Springer Nature, LONDON,  UK, 6: 945, (2025).

Tags: amphibians, aquatic-ecology, fish, forestry, wildland-fire
Organization: U.S. Environmental Protection Agency
Towards an integrated theory of body size distributions, life history and functional traits, and environmental flows in freshwater ecosystems.

Efforts to quantify and explain individual size distributions (ISD) are prominent in ecological research and potentially for applications to management which increasingly consider ecosystem-scale objectives. We use a nation-wide database of individual size measurements for United States stream fishes paired with species’ traits and test for direct and indirect effects of traits, flow, and land use on the slope of the interspecific ISD. Modeling results show that traits have strong, direct effects on ISD whereas flow and land use primarily indirectly affect ISD via mediation by functional traits. ISDs flatten (i.e., greater abundances of larger-bodied individuals) when environmental conditions favor higher trophic levels, thermal tolerances, and periodic life histories, but steepen (i.e., greater abundances of smaller-bodied individuals) when environments benefit opportunistic life histories. Our framework that incorporates direct and indirect of traits, flow alteration, and land-use on ISD could be expanded to incorporate additional variables that interact with flow regimes (e.g., temperature, physical habitat) to understand and predict how multiple environmental stressors affect ecosystem functions. 

This dataset is associated with the following publication:
Woods, T., D. McGarvey, M. Cashman, M. Meador, D. Carlisle, K. Eng, D. Kopp, and K. Maloney. Integrating theory and empirical patterns: Fish body size distributions, life history traits, and environmental flows in streams.   Science Advances. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 11(51): eadu4026, (2025).

Tags: environemntal-flows, fish-assemblages, individual-size-distributions, streams-and-rivers, traits
Organization: U.S. Environmental Protection Agency
Geospatial Dataset of Topographic and Bathymetric Survey Points collected for US Army Corps of Engineers as part of the Sustainable Rivers Program in the Allegheny River, PA downstream of the Kinzua Dam.

This dataset contains spatial datasets of topographic and bathymetric survey data in addition to data table the shapefile data collected at the 3 focal areas of research included in the Sustainable Rivers Program (SRP) in the Allegheny River that were collected and processed in collaboration with US Army Corps of Engineers (USACE).  The dataset is a combination of terrestrial topographic and bathymetry data measured by Trimble R10 Model 2 GNSS survey equipment or a FlowTracker2 Acoustic Doppler Velocimeter (ADV).  The FlowTracker2 was used for flow measurements and water depth and spatial location of each flow measurement point were used to calculate river bottom bathymetry at those locations.  Additionally, National Elevation Dataset (NED) data, obtained from the USGS Earth Resources Observation and Science (EROS) Data Center was used for quality assurance and control of field collected data.  NED data is clearly labeled in "source" column in both the shapefile and data table.  Bottom track bathymetry data from measurements collected with a Sontek M9 Acoustic Doppler Current Profiler (ADCP) will be published in a future data release version.

Tags: allegheny-river, bathymetry-measurement, biota, forest-county, freshwater-ecosystems, gps-measurement, pennsylvania, river-systems, stream-discharge, usgs-63d02810d34e06fef14fd2f7, warren-county
Organization: Department of the Interior
Cladophora biomass and supporting data collected in the Great Lakes, 2020 (ver. 2, March 2023)

This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the growing season of  2020 at stations located along the U.S. shoreline of Lakes Michigan, Huron, and Erie. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: 
- measurements of Secchi disk depth and water chemistry; 
- water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen; 
- diver observations of SAV, dreissenid mussels, round goby abundance, and substrate properties; 
- measurements of dreissenid mussel abundance and size class distribution coincident with SAV biomass; 
- nutrient content of SAV, dreissenid mussels, and sediments;
- and information about sampling locations and operations.
Similar data were collected at several of the same transects within four Great Lakes in 2018 and 2019 and are available at (2018) https://doi.org/10.5066/P9E570JS and (2019) https://doi.org/10.5066/P99O4QXB.

Tags: algae, algal-blooms, aquatic-biology, aquatic-vegetation, benthos, biota, ctd-measurement, environment, eutrophication, field-sampling, freshwater-ecosystems, great-lakes-region, habitat-alteration-and-disturbance, inlandwaters, invasive-species, lake-erie, lake-huron, lake-michigan, mollusks, nuisance-species, nutrient-content-water, optical-methods, oxygen-content-water, phosphorus, submerged-aquatic-vegetation, surface-water-quality, suspended-material-water, turbidity, usgs-60217025d34e31ed20c8696b, water-ph, water-sampling, water-temperature
Organization: Department of the Interior
Weather station data, St. Louis, Missouri

The text file "Weather Station Data, St. Louis, Missouri.txt" contains hourly data collected by a Campbell Scientific ET107 weather station located in St. Louis, Missouri.  Data were collected from November 29, 2019 through September 17, 2020.  Weather station data sets include wind speed, in meters per second; wind direction, in degrees; rainfall, in inches;  average air temperature, in degrees Celsius; maximum air temperature, in degrees Celsius; minimum air temperature, in degrees Celsius; average relative humidity, in percent; average solar radiation, in Watts per square meter; and computed potential evapotranspiration, in mm.

Tags: air-temperature, environment, geoscientificinformation, potential-evapotranspiration, precipitation, relative-humidity, saint-louis-county-missouri, st-louis-missouri, usgs-5f85b6c282cebef40f14c56b, wind-speed
Organization: Department of the Interior
Alamagan, Commonwealth of the Northern Mariana Islands, Nightingale Reed-warbler occupancy data, 2010

Occupancy data were collected during the 2010 surveys of Alamagan, Commonwealth of the Northern Mariana Islands (CNMI). Data were collected at points along transects where trained observers listened for Reed-warblers during the 3-minute survey period (30 seconds of playback followed by 2 minutes and 30 seconds of observation). Observers recorded the horizontal distances of any Reed-warblers heard/and or seen, direction of the bird from the observer, and time of detection. The data set also includes covariates that may influence the occupancy of birds.

Tags: alamagan, commonwealth-of-the-northern-mariana-islands, economy, occupancy-sampling, usgs-5e3b3a5ae4b0edb47bddae66
Organization: Department of the Interior
Simulated potentiometric surface contours at end of simulation (1998) in model layer 1 of the transient ground-water flow model of the Death Valley regional ground-water flow system, Nevada and California

These contours represent the simulated potentiometric surface at the end of simulation (1998) 
in model layer 1 of the Death Valley regional ground-water flow system (DVRFS), an approximately 
45,000 square-kilometer region of southern Nevada and California. The numerical ground-water flow 
model simulates prepumping conditions before 1913 and transient-flow conditions from 1913 to 1998 
after pumping of ground water began. The DVRFS transient ground-water flow model is the most recent 
in a number of regional-scale models developed by the U.S. Geological Survey (USGS) for the U.S. 
Department of Energy (DOE) to support investigations at the Nevada Test Site (NTS) and at Yucca 
Mountain, Nevada (see "Larger Work Citation", Chapter A, page 8, for details).

Tags: amargosa-desert, ash-meadows, california, california-valley, chicago-valley, china-ranch, clark-county, clayton-valley, coal-valley, death-valley, death-valley-regional-ground-water-flow-system, environment, esmeralda-county, eureka-valley, flow-model, franklin-lake, franklin-well, garden-valley, geoscientificinformation, ground-water, hydraulic-head, hydraulic-head-observation, hydrogeology, hydrology, inlandwaters, inyo-county, kern-county, las-vegas-valley, lincoln-county, mesquite-valley, mineral-county, modflow-2000, mono-county, nevada, nevada-test-site, nye-county, oasis-valley, owlshead-mountains, pahranagat-range, pahrump-valley, panamint-range, penoyer-valley, railroad-valley, resting-spring, saline-valley, san-bernadino-county, sarcobatus-flat, sheep-range, shoshone, silurian-valley, southern-nevada, spring-mountains, steady-state-ground-water-model, stewart-valley, stone-cabin-valley, tecopa, transient-ground-water-model, usgs-fdf62d06-e99f-4a84-9212-926a7cdbacc3, yucca-mountain
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 1858 Land-Water Matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387857e4b0764e6c5d6ceb, wetland
Organization: Department of the Interior
Digital data set describing principal aquifers in the conterminous US

This digital data set describes productive aquifers in the
conterminous United States. The data set was generated from
a U.S. Geological Survey 1:7,500,000-scale map of productive
aquifers of the conterminous United States.

Tags: aquifer, environment, geoscientificinformation, inlandwaters, usgs-f4c57818-cb18-49af-ab6e-8cbe7d85a960
Organization: Department of the Interior
STATSGO KF-factor (KFFACT) Cloud Optimized GeoTIFF for the Continental US

This data release reformats the STATSGO KF-factor (KFFACT) dataset (Schwarz and Alexander, 1995) as a cloud-optimized GeoTIFF (COG). The COG format allows standard software tools to efficiently access the datasets over an internet connection. KF-factors are defined as the saturated hydraulic conductivity of the fine soil (&lt; 2mm) fraction. Units are inches per hour. Please refer to the documentation of the source archive (Schwarz and Alexander, 1995) for additional details on the underlying dataset.
The COG dataset spans the continental US at a nominal 30 meter resolution. The spatial reference is EPSG:5069. Each COG uses a float32 precision, and the NoData value (NaN) indicates raster pixels not covered by the original STATSGO dataset. The COG also includes non-physical values of -0.1, which were used by the source dataset to mark large water bodies.
The COG format uses compression internally to reduce file size. As such, reading large portions of a COG into memory can require much more RAM than the nominal file size. This COG will require ~60GB of memory to read in full.
This dataset can be reproduced by running the `rasterize_statsgo.py` Python script included in this dataset's parent folder (https://doi.org/10.5066/P13WAPYV). Please refer to the script for documentation and usage instructions.
Disclaimer: 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. 
References:
Schwarz, G.E. and Alexander, R.B., 1995, Soils data for the Conterminous United States Derived from the NRCS State Soil Geographic (STATSGO) Data Base. [Original title: State Soil Geographic (STATSGO) Data Base for the Conterminous United States.]: U.S. Geological Survey data release, https://doi.org/10.5066/P94JAULO.

Tags: cloud-optimized-geotiff, geoscientificinformation, kf-factor, raster, soil-erodibility, statsgo, usgs-6750c172d34ed8d3858534d8
Organization: Department of the Interior