AndreaBozzo/ceres-open-data-index huggingface dataset:
Beneficiary and Ecosystem Services Profiles from MassBays Document Analysis

This data set contains the output from a keyword search document analysis of MassBays NEP Assessment Area communities.  S1 is the list of keyword search terms. S2 is the list of planning documents included in the search. S3 are graphs of beneficiary profiles and ecosystem services profiles for each assessment area.  S4 are graphs of ecosystem frequencies, beneficiary profiles, and ecosystem services for each cluster. S5 is the table of socio-economic and ecological variables for each assessment area. S6 are graphs of socio-economic and ecological variables for each cluster. S7 are post-hoc statistical analysis to relate socio-economic and ecological variables to ecosystem services priorities. S8 are the frequency at which ecosystems are mentioned in documents for each assessment area. S9 is the table of beneficiary profiles for each assessment area.  S10 are the relative importance of ecosystem services attributes to each beneficiary type for each assessment area. S11 are the final ecosystem services profiles for each assessment area. S12 is the full list of final ecosystem services (an ecosystem + a beneficiary + an ecosystem services attribute) from all search documents. 

This dataset is associated with the following publication:
Yee, S., L. Sharpe, B. Branoff, C. Jackson, G. Cicchetti, S. Jackson, M. Pryor, and E. Shumchenia. Ecosystem Services Profiles for Communities Benefitting from Estuarine Habitats along the Massachusetts Coast, USA.   Ecological Informatics. Elsevier Science Ltd, New York, NY, USA, 77: 102182, (2023).

Tags: document-analysis, ecosystem-services, estuary, massachusetts-bay, salt-marsh, seagrass, tidal-flats
Organization: U.S. Environmental Protection Agency
Sorption of heavy metals by hydrochar

Heavy metal sorption data.   Material characterization using scanning electron microscopy (SEM, Hitachi SU8020, Japan) and energy spectrometry (EDS), Fourier transform infrared (FTIR, Nichlet IS 10, USA) spectroscopy, X-ray photoelectron spectroscopy (XPS, Thermo escalab 250Xi, USA) and X-ray diffraction (XRD, BRUCKER D8 ADVANCE, Germany). This dataset is not publicly accessible because: None-EPA data - owned by the University of Florida. It can be accessed through the following means: Contact Dr. Yue Zhang at the University of Florida at 352-871-2488 . Format: The data included in the manuscript: Heavy metal sorption data in Excel; Images of scanning electron microscopy (SEM, Hitachi SU8020, Japan) and energy spectrometry (EDS). Spectra of Fourier transform infrared (FTIR, Nichlet IS 10, USA) spectroscopy, X-ray photoelectron spectroscopy (XPS, Thermo escalab 250Xi, USA), and X-ray diffraction (XRD, BRUCKER D8 ADVANCE, Germany). 

This dataset is associated with the following publication:
Zhang , Y., Y. Wan, Y.  Zheng , Y. Yang, J. Huang, H. Chen, and B. Gao. Potassium permanganate modification of hydrochar enhances sorption of Pb(II), Cu(II), and Cd(II).   Bioresource Technology. Elsevier Online, New York, NY, USA, 386: 129482, (2023).

Tags: biochar, heavy-metals, metal-sorption
Organization: U.S. Environmental Protection Agency
School District Finance Survey, 2008-09

School District Finance Survey, 2008-09 (F-33 2008-09), is a study that is part of the Common Core of Data (CCD) program; program data available since 1990 at <https://nces.ed.gov/ccd/f33agency.asp>. F-33 2008-09 (https://nces.ed.gov/ccd/f33ageninfo.asp) is a universe survey that is designed to provide finance data for all local education agencies (LEAs) that provide free public elementary and secondary education in the United States. The data file for F-33 2008-09 contains 16,563 records representing the public elementary and secondary education agencies in the 50 United States and the District of Columbia. Key statistics produced from F-33 2008-09 are expenditures by object and function, indebtedness, and revenues by source. The F-33 is collaboration by the National Center for Education Statistics (NCES) and the Census Bureau. Census is the primary collection agent. Census refers to the collection as the Annual Survey of Local Government Finances: School Systems and releases its own version of the data file and publication based on that file. The NCES and Census files differ in their inclusion of independent charter school districts, the classification of some revenue items, and the inclusion of some expenditure items.

Tags: 0ee4621b-38be-46bb-8360-219726022a58, expenditures, finance, public-schools, revenues, school-districts
Organization: Department of Education
LBNL Fault Detection and Diagnostics Datasets

These datasets can be used to evaluate and benchmark the performance accuracy of Fault Detection and Diagnostics (FDD) algorithms or tools. It contains operational data from simulation, laboratory experiments, and field measurements from real buildings for seven HVAC systems/equipment (rooftop unit, single-duct air handler unit, dual-duct air handler unit, variable air volume box, fan coil unit, chiller plant, and boiler plant). Each dataset includes a .pdf file to document key information necessary to understand the content and scope, multiple csv files containing all the time-series data for faults at different severity levels and one fault-free case, and a ttl file to visualize the data according to BRICK schema. The dataset was created by LBNL, PNNL, NREL, ORNL and Drexel University.

Tags: ac, ahu, air-handler-unit, algorithm-testing, benchmark, boiler-plant, brick-schema, building, building-efficiency, building-energy, building-energy-efficiency, chiller-plant, commercial-buildings, cooling, detection, diagnostics, energy-efficiency, fan-coil, fault-detection, fault-detection-and-diagnostics, heating, heating-and-cooling, hvac, performance-evaluation, rtu, vav-box
Organization: Department of Energy
An Interlaboratory Comparison of Extractable Organofluorine Measurements in Groundwater and Eel (Anguilla rostrata): Recommendations for Methods Standardization

Standardized methods for organofluorine analysis are currently unavailable including for extractable organofluorine (EOF) measured using combustion ion chromatography (CIC). Here we evaluate the reproducibility, precision, and accuracy of EOF based on an international interlaboratory comparison. Seven laboratories representing academia, government, and the private sector measured paired EOF and PFAS concentrations in groundwater and eel (Anguilla rostrata) from a site contaminated by aqueous film forming foam. 

This dataset is associated with the following publication:
Ruyle, B.J., H.M. Pickard, L. Schultes, F. Fredriksson, A.L. Heffernan, D.R.U. Knappe, H.L. Lord, P. Meng, M.A. Mills, K. Ndungu, P. Roesch, J.T. Rundberget, D.R. Tettenhorst, J. Van Buren, C. Vogel, D.C. Westerman, L.W.Y. Yeung, and E.M. Sunderlanda. Interlaboratory Comparison of Extractable Organofluorine Measurements in Groundwater and Eel (Anguilla rostrata): Recommendations for Methods Standardization.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(48): 20159-20168, (2023).

Tags: analytical-method, organofluorine, pfas, water-quality
Organization: U.S. Environmental Protection Agency
ES80 Water Column Sonar Data Collected During DN202201

This survey was conducted to estimate the abundance and map the distribution of menhaden (Brevortia tyrannus) that are overwintering in the mid-Atlantic Bight off the coast of New Jersey, USA. The survey was conducted using a shipboard ES80 echosounder and ES38-B split-beam Simrad transducer. Catches were completed using the commercial midwater trawl on board the F/V Dyrsten. This survey was funded under a NOAA SK grant to Genny Nesslage of the Chesapeake Biological Laboratory at the University of Maryland Center for Environmental Science.

Tags: acoustic scattering, acoustic sounders, aquatic ecosystems, aquatic sciences, bathymetry, bathymetry/seafloor topography, benthic, biosphere, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, ecosystems, fisheries, in situ/laboratory instruments, marine ecosystems, national centers for environmental information, national geophysical data center, nesdis, noaa, north atlantic ocean, ocean acoustics, oceans, pelagic, profilers/sounders, seafloor topography, u.s. department of commerce, vertical location, water column, water column mapping system, wcms
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
DHS Data Inventory

The DHS Data Inventory is a list of datasets used in and by the department. The dataset details include a verbose set of metadata identifying the source, quality, governance, publication, size and characteristics of the data, with pointers to the data access URL(s) and access rights for use within the department. The Data Inventory was created in response to legislative requirements of the Evidence Act (and Open Government Data Act). Metadata about datasets that are marked as 'public' are sent to Data.gov on a weekly basis.

Tags: data-inventory, data-inventory-program, evidence-act
Organization: Department of Homeland Security
HSRP Project Data

Percent recovery of somatic and F+ coliphage. 

This dataset is associated with the following publication:
Hurst, B.N., A. Korajkic, A. Pemberton, and B. McMinn. Improved Virus Concentration Methods for Wash Waters from Decontamination of Permeable and Non-Permeable Surfaces.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 322: 114826, (2023).

Tags: coliphage, hollow-fiber, percent-recovery, wash-water
Organization: U.S. Environmental Protection Agency
Hat Island and Mission Beach discrete and continuous time series data for carbonate chemistry and other physical/biogechemical parameters

High-resolution (15-minute frequency) monitoring data of pH, dissolved oxygen, salinity, temperature, depth, and chlorophyll from July 2015 – April 2016 in two seagrass systems of Puget Sound, WA, USA. Grab samples for instrument validation and carbonate chemistry analysis were periodically taken next to the in-situ instrumentation and are included.

Tags: carbonate-chemistry, coastal-acidification, ocean-acidification, seagrasses
Organization: U.S. Environmental Protection Agency
Evaluation of a high-throughput H295R homogenous time resolved fluorescence assay for androgen and estrogen steroidogenesis screening

Dataset for 'Evaluation of a high-throughput H295R homogenous time resolved fluorescence assay for androgen and estrogen steroidogenesis screening', Garnovskaya, et al., Toxicology in Vitro, Vol 92, 105659, Oct 2023, https://doi.org/10.1016/j.tiv.2023.105659. Contains the ToxCast Pipeline datasets and curve fits that can be pulled up from InvitroDB on the CompTox Chemicals Dashboard. 

This dataset is associated with the following publication:
Garnovskaya, M., M. Feshuk, W. Stewart, K. Friedman, R. Thomas, and C. Deisenroth. Evaluation of a High-throughput H295R Homogenous Time Resolved Fluorescence Assay for Androgen and Estrogen Steroidogenesis Screening.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 92: 105659, (2023).

Tags: androgen, endocrine-toxicology, estrogen, high-throughput-screening, new-approach-methods-alternatives-to-animal-testing, steroidogenesis
Organization: U.S. Environmental Protection Agency
NEST preterm birth air pollution dietary factors 2023MAY

Data dictionary and code files associated with analysis of air pollution and dietary factor interactions with preterm birth. 

This dataset is associated with the following publication:
Jardel, H., C. Martin, C. Hoyo, and K. Rappazzo. Interplay of gestational parent exposure to ambient air pollution and diet characteristics on preterm birth.   BMC PUBLIC HEALTH. BioMed Central Ltd, London,  UK, 23: 822, (2023).

Tags: air-pollution, childrens-environmental-health, diet, epidemiology, modification, preterm-birth
Organization: U.S. Environmental Protection Agency
K means clustering the opportunity atlas 2023APR

All code and input files used in k-means clustering analysis of Opportunity Atlas data. 

This dataset is associated with the following publication:
Zelasky, S., C. Martin, C. Weaver, L. Baxter, and K. Rappazzo. Identifying groups of children's social mobility opportunity for public health applications using k-means clustering.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 9(9): E20250, (2023).

Tags: childrens-health, k-means-clustering, opportunity, social-mobility
Organization: U.S. Environmental Protection Agency
Lidar-derived elevation data for Wrangell Island, Southeast Alaska, collected November 28-29, 2023

Lidar-derived elevation data for Wrangell Island, Southeast Alaska, collected November 28-29, 2023, Raw Data File 2024-1, provides an aerial lidar derived classified point cloud, digital surface model (DSM), digital terrain model (DTM), and intensity model of slopes above the Zimovia Highway on Wrangell Island, Southeast Alaska, during leaf-off conditions (cover figure). The survey provides snow-free surface elevations for use in landslide hazard assessment following a November 20, 2023, debris flow that occurred near Milepost 11 of the Zimovia Highway and tragically claimed the lives of six people. Ground control data were collected June 26-30, 2023 (Zechmann and others, 2023), and aerial lidar data were collected November 28-29, 2023, and subsequently merged and processed using a suite of geospatial processing software. This data collection is released as a Raw Data File with an open end-user license. All files can be downloaded from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/31106).

Tags: cemetery point, dggs, digital elevation model, digital surface model (dsm), digital terrain model, elevation, emergency preparedness, engineering, engineering geology, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, hazards, institute creek, landslide, landslide susceptibility, lidar, lidar intensity image, lidar las file format, mccormack creek, pat creek, pats lake, point cloud data, rainbow falls, raster image, remote sensing, slope, slope instability, southeast alaska, surface, surficial, surficial geology, topography, trout lake, wrangell, wrangell island, zimovia strait
Organization: State of Alaska
nyct2000wi

GIS data: Boundaries of 2000 Census Tracts (water areas included).

All previously released versions of this data are available at <a href="https://www1.nyc.gov/site/planning/data-maps/open-data/bytes-archive.page?sorts[year]=0">BYTES of the BIG APPLE- Archive</a>

Tags: 2000-census-tracts-water-areas-included, block, boundary, cartography, census, dcp, geographic, location, map, poll, survey, water, water-area
Organization: City of New York
LinkNYC_OpenData_9_6_2016_SP83

This shape file date set provides location information data for LinkNYC kiosks that have been approved and installed.
It includes sites that have replaced public pay telephones (PPT) and new sites that have been reviewed by community and elected officials.

Tags: free-hotspot, free-wi-fi, hotspot-kiosk, kiosk, link, link-kiosk, link-locations, link-nyc, link-nyc-locations, linknyc, wi-fi-kiosk
Organization: City of New York
MTNYC_PlantedBlocks_20150930

This data tracks the blocks that have been planted through NYC Parks’ street tree block planting program, a major component of the MillionTreesNYC initiative.  When a block planting is completed for specific street segment, all available and appropriate locations for street tree installation have been planted.  This dataset is based on the Citywide Street Centerline data.

Tags: milliontreesnyc, nature, nycopendata, parks, trees
Organization: City of New York
NYCDCP_Manhattan_Bike_Counts

The Transportation Division of the New York City Department of City Planning (NYCDCP) has performed annual bike counts in Manhattan since 1999. The counts have been conducted along designated bicycle routes at 10 on-street and 5 off-street locations during the fall season. These locations have remained generally consistent. The data collected includes cyclist/user volumes, helmet usage, use of bike lane, gender, etc. The bike counts data can offer insights into the overall trends in user demographics and travel patterns over time.

All previously released versions of this data are available at <a href="https://www1.nyc.gov/site/planning/data-maps/open-data/bytes-archive.page?sorts[year]=0">BYTES of the BIG APPLE- Archive</a>

Tags: bicycle, bike, dcp
Organization: City of New York
Community Gardens in the City of Providence

This dataset contains a list of public and privately owned community gardens within Providence. Data was collected in the summer of 2014. For additional information on gardens, contact the Healthy Communities Office, at (401) 421-7740, ext. 733. For more information about urban agriculture in Providence, see http://www.providenceri.com/healthy-communities/urban-agriculture.

Tags: food, garden
Organization: City of Providence
Master Street Name Table

This list is a work-in-progress and will be updated at least quarterly. This version updates column names and corrects spellings of several streets in order to alleviate confusion and simplify street name research. It represents an inventory of official street name spellings in the City of New Orleans. Several sources contain various spellings and formats of street names. This list represents street name spellings and formats researched by the City of New Orleans GIS and City Planning Commission.Note: This list may not represent what is currently displayed on street signs. City of New Orleans official street list is derived from New Orleans street centerline file, 9-1-1 centerline file, and CPC plat maps. Fields include the full street name and the parsed elements along with abbreviations using US Postal Standards. We invite your input to as we work toward one enterprise street name list.Status: Current: Currently a known used street name in New Orleans Other: Currently a known used street name on a planned but not developed street. May be a retired street name.

Tags: egis, names, roads, streets
Organization: City of New Orleans
City of Tempe 2018 Employee Survey Data

ABOUT THE CITY OF TEMPE EMPLOYEE SURVEY REPORTS DATASET<p style='margin-top:0px; margin-bottom:10px; color:rgb(68, 72, 73); font-family:Arial, Helvetica, Arial, Verdana, sans-serif; font-size:14px;'>This data set includes the results from the Tempe Employee Survey, conducted every other year, to gather input from employees about issues in six major areas: professional development and career mobility; organizational support; supervisions and working environment; compensation and benefits; employee engagement; and peer relationships. Participation in the survey is voluntary and confidential. Employees are able to complete the survey during work hours or at home, with surveys directly returned to the vendor conducting the survey.</p>PERFORMANCE MEASURES<p style='margin-top:0px; margin-bottom:10px; color:rgb(68, 72, 73); font-family:Arial, Helvetica, Arial, Verdana, sans-serif; font-size:14px;'>Data collected in this survey applies directly to the following Performance Measures for the City of Tempe:</p><p style='margin-top:0px; margin-bottom:10px; color:rgb(68, 72, 73); font-family:Arial, Helvetica, Arial, Verdana, sans-serif; font-size:14px;'><strong>1. Safe &amp; Secure Communities</strong></p><ul><li>1.11 Feeling Safe in City Facilities</li></ul><p style='margin-top:0px; margin-bottom:10px; color:rgb(68, 72, 73); font-family:Arial, Helvetica, Arial, Verdana, sans-serif; font-size:14px;'><strong>2. Strong Community Connections</strong></p><ul><li>2.13 Employee Engagement</li><li>2.25 Employee Work-Related Needs</li></ul><div><div><em>The City of Tempe Employee Survey was first conducted in 2016 and will occur every two years.</em><br /></div><div><br /></div><div><div><b>Additional Information</b></div><div><br /></div><div>Source: Employee Survey</div><div>Contact (author): Aaron Peterson</div><div>Contact E-Mail (author): aaron_peterson@tempe.gov</div><div>Contact (maintainer): Aaron Peterson</div><div>Contact E-Mail (maintainer): aaron_peterson@tempe.gov</div><div>Data Source Type: Excel</div><div>Preparation Method: NA</div><div>Publish Frequency: Biennial</div><div>Publish Method: Manual</div></div><div><a href='https://gis.tempe.gov/employee-survey-dict-2018/' rel='nofollow ugc' target='_blank'>Data Dictionary</a><br /></div></div>

Tags: employee-survey
Organization: City of Tempe
City of Tempe 2017 Business Survey Data

ABOUT THE CITY OF TEMPE BUSINESS SURVEY REPORTS DATASET<p style='margin-top:0px; margin-bottom:10px; color:rgb(68, 72, 73); font-family:Arial, Helvetica, Arial, Verdana, sans-serif; font-size:14px;'>This data set includes the results from the Tempe Business Survey, conducted every other year, to gather input from businesses on what is highest in importance to businesses and to learn where businesses are the least and most satisfied.</p>PERFORMANCE MEASURES<p style='margin-top:0px; margin-bottom:10px; color:rgb(68, 72, 73); font-family:Arial, Helvetica, Arial, Verdana, sans-serif; font-size:14px;'>Data collected in this survey applies directly to the following Performance Measures for the City of Tempe:</p><p style='margin-top:0px; margin-bottom:10px; color:rgb(68, 72, 73); font-family:Arial, Helvetica, Arial, Verdana, sans-serif; font-size:14px;'><strong>5. Financial Stability and Vitality</strong></p><ul><li>5.01 Quality of Business Services</li></ul><div><em>The City of Tempe Business Survey was first conducted in 2017 and will occur every two years.</em><br /></div><div><br /></div><div><b>Additional Information</b><br /></div><div><b><br /></b></div><div><div>Source: Business Survey</div><div>Contact (author): Wydale Holmes</div><div>Contact E-Mail (author): wydale_holmes@tempe.gov</div><div>Contact (maintainer): Wydale Holmes</div><div>Contact E-Mail (maintainer): wydale_holmes@tempe.gov</div><div>Data Source Type: Excel</div><div>Preparation Method: The City contracts with a vendor to conduct the survey, analyze the data and prepare for publication.</div><div>Publish Frequency: Every other year</div><div>Publish Method: Manual, .pdf</div></div><div><a href='https://gis.tempe.gov/business-survey-dict/' rel='nofollow ugc' target='_blank'>Data Dictionary</a><br /></div>

Tags: business-survey, economic
Organization: City of Tempe