AndreaBozzo/ceres-open-data-index huggingface dataset:
Holiday Giving Project Referrals

This dataset shows the number of referrals for assistance through the Holiday Giving Project. The Holiday Giving Project provides Thanksgiving and December holiday assistance to low-income households. A network of social workers, school counselors, and other human service professionals refer families and individuals in need of holiday assistance. Local non-profit agencies, faith-based organizations, service organizations and government agencies come together each year to form the Holiday Giving Project (HGP) Coalition. Member agencies of the HGP Coalition work both collaboratively and independently as local neighborhood coordinators distributing food, gift cards, and toys that come from private and public donations. This dataset provides information on the number of households referred by the program and matched to a coalition member for service based on the household’s zip code. The dataset additionally provides statistics on the number of children and the total number of household members living in the referred households.  Note that zip codes with a very small number of referrals have been grouped together. Also note that a number of unmatched households were served through a final County-wide open house event that is not reflected in the dataset. Update frequency:  Annually

Tags: charity, donation, giving, holiday, needy, thanksgiving, volunteer
Organization: Montgomery County of Maryland
Spending Disclosure - Fiscal Year 2012

The purpose of this Spending Disclosure Fiscal Year 12 dataset is to allow the public to search and view summary information on payments made to recipients (referred to as suppliers) that received $25,000 or more in a fiscal year. Note that salary and benefit payments to employees, pension payments to retirees, and any information that is confidential under State or Federal law is excluded from disclosure.

Tags: 000ormore, 2012, 25, expenditure, financial, fiscalyear12, payment, spending
Organization: Montgomery County of Maryland
Business Personal Property Tax - 2022

This dataset contains the mailing address of all businesses that operate in Montgomery County that have filed with the Maryland State Department of Assessment and Taxation. The information displayed in this dataset is based on a business being billed for their business personal property tax. Businesses are billed for this tax annually based on their filing date. The County sends out these tax bills monthly throughout the year. As such, this dataset which is updated annually, is a snapshot of the annual billing cycle as of October 2021. The following will affect the number of records in this dataset for this levy year:
• The filing extension to July 15, 2022.
• Tax Property Article, 7-245 which includes an exemption from business personal property assessment for business entities with assets having a total cost of less than $2,500.

Tags: business, finance, personal, property, tax
Organization: Montgomery County of Maryland
2020 Presidential General Election Results

The Cumulative Report includes complete official election results for the 2020 Presidential General Election as of November 29, 2020. Results are released in three separate reports:

The Vote By Mail 1 report contains complete results for ballots received by the Board of Elections on or before October 21, 2020, that could be accepted and opened before Election Day.
The Vote By Mail 2 Canvass report contains complete results for all remaining Vote By Mail ballots that were received in a drop box or in person at the Board of Elections by 8:00pm on November 3, or were postmarked by November 3 and received timely by the Board of Elections by 10:00am on Friday, November 13. The Vote By Mail 2 Canvass begins on Thursday, November 5.
The Provisional Canvass contains complete results for all provisional ballots issued to voters at Early Voting or on Election Day. 
For more information on this process, please visit the 2020 Presidential General Election Ballot Canvass webpage at https://www.montgomerycountymd.gov/Elections/2020GeneralElection/general-ballot-canvass.html. For turnout information, please visit the Maryland State Board of Elections Press Room webpage at https://elections.maryland.gov/press_room/index.html.

Tags: 2020, election, general, presidential, results
Organization: Montgomery County of Maryland
Business Personal Property Tax - 2020

This dataset contains the mailing address of all businesses that operate in Montgomery County that have filed with the Maryland State Department of Assessment and Taxation. The information displayed in this dataset is based on a business being billed for their business personal property tax.  Businesses are billed for this tax annually based on their filing date.  The County sends out these tax bills monthly throughout the year.   As such, this dataset which is updated annually, is a snapshot of the annual billing cycle as of October 2020.  The following will affect the number of records in this dataset for this levy year:
•           The filing extension to July 15, 2020.
•           Tax Property Article, 7-245 which includes an exemption from business personal property assessment for business entities with assets having a total cost of less than $2,500.
 Updated annually.

Tags: address, billing, business, finance, personal, property, tax, taxes
Organization: Montgomery County of Maryland
Real Property Tax Rates

The Levy Year 2012 real property tax rate dataset reflects all the rates per $100 set each year by the County Council.  These rates are applied to the assessed value of the real property to derive the applicable ad valorem tax.  The fully phased-in assessed value equals the full cash value of the property. The real property tax is levied annually on all taxable land and improvements.  The tax rate schedule is updated annually. A detailed tax rate schedule for all tax classes is available by clicking on “Tax Rates” under the link for “County Taxes” when visiting the County website at www.montgomerycountymd.gov/finance or by calling 311 (240-777-0311).

Update Frequency:  Annually

Tags: property, rates, real, realty, tax, taxation, value
Organization: Montgomery County of Maryland
Pavement Condition Index

Pavement Condition Index is provided by the Department of Transportation for analyzing the conditions of the pavement for all 5,200 lane miles of roadways within the County. Pavement Condition Index or PCI is a numerical expression between 0-100 numerically representing the pavements condition. For example, a PCI of 30 is considered as “poor” whereas a PCI rating of 80 indicates pavement in very good condition.

The pavements’ numerical PCI score is developed through an analysis of nineteen (19) discrete pavement distresses (cracking, pot holes, environmental distress, utility cuts, etc.) and ranges from 1-100 with 1 being an absolute failure and 100 representing perfect conditions. This dataset is updated biennially.

Tags: condition, pavement, potholes, road, roadway, streets
Organization: Montgomery County of Maryland
MEDLINE/PubMed Baseline Statistics: Misc Report

*A file containing all Misc Baseline Reports for 2018-2023 in their original format is available in the <b>Attachments</b> section below.* 

MEDLINE/PubMed annual statistical reports are based upon the data elements in the baseline versions of MEDLINE®/PubMed are available. For each year covered the reports include: total citations containing each element; total occurrences of each element; minimum/average/maximum occurrences of each element in a record; minimum/average/maximum length of a single element occurrence; average record size; and other statistical data describing the content and size of the elements.

Tags: pubmed
Organization: U.S. Department of Health & Human Services
NLM LitArch Open Access Subset

A subset of the total collection of books and documents in the NLM Literature Archive (NLM LitArch), accessible through the Bookshelf website, are available through the NLM LitArch Open Access subset. Contents in the NLM LitArch Open Access subset generally include works which are in the public domain, works which are available under a Creative Commons or similar license, and works whose authors or publishers have explicitly agreed to the terms of the NLM LitArch Open Access subset. Except for public domain works, works in the NLM LitArch Open Access subset are still protected by copyright, but are made available under a Creative Commons or similar license that generally allows more liberal redistribution and reuse than a traditional copyrighted work. The license terms are not the same for each work. Read the license text which is available with each downloadable file to determine terms of use.

Tags: books, literature, open-access
Organization: U.S. Department of Health & Human Services
List of Serials Indexed for Online Users (LSIOU)

The List of Serials Indexed for Online Users (LSIOU) provides bibliographic information for all journals whose articles were ever indexed over time with the MeSH® vocabulary and cited in MEDLINE®, the backbone of the NLM PubMed® database. It includes titles that ceased publication, changed titles, or are no longer indexed. More detailed bibliographic data and information about indexing coverage for serials cited in MEDLINE/PubMed can be found in LocatorPlus Catalog®, the NLM online catalog, and the NLM Catalog, an Entrez database.

Tags: dataset, library-services, literature
Organization: U.S. Department of Health & Human Services
PubMed total records by publication year

Yearly citation totals from each year of the MEDLINE/PubMed Baseline referencing citations back to year 1781.  These totals may increase over time for a particular year as new citations are added.  For example, 25 citations were listed for the year 1800 in the 2018 MEDLINE/PubMed Baseline, while the 2019 Baseline includes 387 citations for that year.

Tags: pubmed
Organization: U.S. Department of Health & Human Services
MedGen

MedGen is NCBI's portal to information about conditions and phenotypes related to Medical Genetics. Terms from the NIH Genetic Testing Registry (GTR), UMLS,  HPO, Orphanet, ClinVar and other sources are aggregated into concepts, each of which is assigned a unique identifier and a preferred name and symbol. The core content of the record may include names, identifiers used by other databases, mode of inheritance, clinical features, and map location of the loci affecting the disorder. The concept identifier (CUI) is used to aggregate information about that concept, similar to the way NCBI Gene serves as a gateway to gene-related information.

MedGen provides links to such resources as: Genetic tests registered in the NIH Genetic Testing Registry (GTR), GeneReviews, ClinVar, OMIM, Related genes, Disorders with similar clinical features, Medical and research literature, Practice guidelines, Consumer resources, Ontologies such as HPO and ORDO.

Links to the GTR, GeneReviews, and Practice Guidelines are based on curation by NCBI staff. Other data feeds are automated, but reviewed by NCBI staff and informed by feedback from the community.

Tags: dataset, genetics, genomics
Organization: U.S. Department of Health & Human Services
MEDLINE/PubMed Baseline Statistics: Min/Max Report

*A file containing all Min/Max Baseline Reports for 2005-2023 in their original format is available in the <b>Attachments</b> section below. A second file includes a separate set of reports, made available from 2002-2017, that did not include OLDMEDLINE records.* 

MEDLINE/PubMed annual statistical reports are based upon the data elements in the baseline versions of MEDLINE®/PubMed are available. For each year covered the reports include: total citations containing each element; total occurrences of each element; minimum/average/maximum occurrences of each element in a record; minimum/average/maximum length of a single element occurrence; average record size; and other statistical data describing the content and size of the elements.

Tags: pubmed
Organization: U.S. Department of Health & Human Services
US MPA Multibeam Mapping of the West Florida Shelf-The Edges, Gulf of Mexico, Appalachicola, Florida.

XYZ ASCII format high-resolution bathymetry data generated from the 2010 multibeam sonar survey of the West Florida Shelf-The Edges, Gulf of Mexico, Appalachicola, Florida.

Tags: appalachicola, atlantic ocean, bathymetry, bathymetry/seafloor topography, country/territory, doc/noaa/nmfs/sefsc, earth science, florida, geographic information, gulf of mexico, multibeam mapping, national marine fisheries service, noaa, ocean basin, oceans, panama city laboratory marine protected area projects, southeast fisheries science center, u.s. department of commerce, united states of america, west florida shelf-the edges
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Generative COMET v0.0.0

The United States Environmental Protection Agency (US EPA) conducts extensive research to enhance the scientific foundation for national environmental decision-making. In this context, US EPA has developed COMET (City-based Optimization Model for Energy Technologies) to capture the whole energy system at the city level over a user-defined analyses timeline, from the extraction of primary resources to conversion into useful energy to meet end-use service demands. COMET accounts for the investment and operation costs, as well as greenhouse gas (GHG) emissions and other air pollutants, of alternative technology pathways meeting long-term energy demands in the buildings, transportation, and waste sectors. In this way, COMET enables users to explore, compare, and optimize energy technology solutions over the coming decades, especially for medium- and large-sized cities working to achieve energy optimization objectives and emissions reduction targets. Model results reveal how the energy system can be balanced under different scenarios and assumptions, as well as how system costs and emissions change with respect to those scenarios. With this information, city officials and their stakeholders working to pursue energy planning within their borders are positioned to make more informed policy and program decisions.

An open-source version of COMET designed for use by local planning, energy, or environmental agencies in any city is developed – will be called “Generative COMET”. The Generative COMET model incorporates innovative features that streamline the calibration process to align with official energy or GHG inventories, based on the level of detail available in city-level data. It provides cities with a versatile framework for analyzing energy and GHG emission scenarios, with different levels of data granularity and city-specific conditions. Its modular and adaptable structure enables cities of all sizes to explore customized strategies for meeting energy demands and achieving GHG reduction targets effectively. 

This dataset is associated with the following publication:
Kaplan, O., K. Vaillancourt, M. Pied, R. Chaffanjon, F. Pedroli, D. Cooley, and N. Dietsch. Generative City-based Optimization Model for Energy Technologies: COMET Documentation and User Guide. U.S. Environmental Protection Agency, Washington, DC, USA, 2025.

Tags: air-pollution, comet, energy, energy-systems-model, subnational-model, times
Organization: U.S. Environmental Protection Agency
Glossary of Report Filters

Report Filter Definitions and Guidance
Please note that all filter options are present in the dataset. For example, if you are looking at a dataset and a state is missing, it means there is no data for the year selected in that state - it does not use a list of all US states. 
Also note that if the data table disappears, there is no data available for the filter selections made.

Tags: define, definitions, filter, glossary, guidance
Organization: Department of Transportation
Strengthening Effects of Surface Chemistry on the Consolidation of Silicate-Based Geomaterials Experimental Data

This dataset contains experimental data and scanning electron microscope (SEM) images generated during a study on the effects of surface chemistry on the mechanical consolidation of silicate-based geomaterials. The experiments were performed at Sandia National Laboratories in Albuquerque, New Mexico, under the Laboratory Directed Research and Development (LDRD) program. Data were collected to support the manuscript titled "Strengthening Effects of Surface Chemistry on the Consolidation of Silicate-Based Geomaterials" by R. C. Choens, J. Wilson, and A. G. Ilgen; the associated publication will be added to this submission once available.

The dataset includes nanoindentation measurements on individual oligoclase grains under varying saturation conditions (dry, water-saturated, and Na2SO4 brine-saturated), as well as consolidation test data on both synthetic oligoclase grain packs and natural Torrey Buff sandstone. Consolidation experiments also include acoustic emission monitoring and post-deformation microstructural characterization. 

Tags: chemistry, data, energy, geomaterials, geothermal-energy, material-chemistry, materials-science, power, sandia-national-laboratories, scanning-electron-microscope, silicate-based, surface-chemistry
Organization: Department of Energy
DMV Service Locations

<div style="text-align:Left;"><div><div><p><span>DC Government: DMV service locations. The dataset contains attributes of DMV locations including service centers, self-emission inspections, and road test/CDL facility. Data was created by D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies.</span></p><p><span>Databases researched by the DC Office of the Chief Technology Officer (OCTO) identified DC DMV service locations and DC GIS staff geo-processed the data.</span></p><p></p></div></div></div>

Tags: agency, building, cdl, dc, dc-government, district-of-columbia, dmv, facility, inspection, municipal, road, service, society, street-light, streetlight, washington-dc
Organization: District of Columbia
TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters

Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement Learning (DRL) control in the wave tank. Unlike model-based controls, DRL control is model-free and can directly maximize the performance of the Wave Energy Converter (WEC) in terms of power production, regardless of system complexity. While DRL control has demonstrated promising performance in previous studies, this project aimed to (1) evaluate the practical performance of DRL control and (2) identify the challenges and limitations associated with its practical implementation. 

To investigate the real-world performance of DRL-based control, the controller was trained with the LUPA numerical model using MATLAB/Simulink Deep Learning Toolbox and implemented on the Laboratory Upgrade Point Absorber (LUPA) device developed by the facility at OSU. A series of regular and irregular wave tests were conducted to evaluate the power harvested by the DRL control across different wave conditions, using various observation state selections, and incorporating a reward function that includes a penalty on the PTO force. 

The dataset consists of six main parts:
(1) the Post Access Report
(2) the test log containing the test ID, description, test data filename, wave data filename, wave condition, test notes for all conducted LUPA Testing Data
(3) the tank testing results as described in the DRL Test Log
(4) the model used for retraining the DRL control and associated results
(5) the model used for pre-training the DRL control and associated results
(6) the scripts used for processing the data
(7) A readme file to indicate the folder contents and structure within the resources "LUPA Pretraining Data.zip", "LUPA Retraining Data.zip", and "ScriptsForPostProcessing.zip"

This testing was funded by TEAMER RFTS 10 (request for technical support) program.

Tags: code, deep-reinforcement-learning, drl, drl-control, irregular-wave, laboratory-upgrade-point-absorber, lupa, marine, mhk, performance, pertaining-data, processed-data, pto-control, regular-wave, retraining-data, rfts10, source-code, teamer, validation, wave-energy, wave-energy-converter, wave-tank, wec
Organization: Department of Energy
Concurrent Sky Images, Hemispherical Irradiance Profiles, and Weather Data for Albuquerque and Eugene

This data set contains information about the sky and weather conditions in Albuquerque, NM and Eugene, OR. For each site, the data is minutely for the period of two years. The data includes hemispherical images of the sky, measurements of the hemispherical (global) irradiance in an arc swept from east to west, and relevant weather data (primarily irradiance) from on site weather stations. This data was collected as part of a project for single-axis solar trackers.

This submission also includes a report which provides more context and details to the data set. The authors recommend reading the SAND report (see the "Project Report" resource below) before inspecting the data.

Tags: albuquerque, axis, data, energy, eugene, irradiance, power, psel, raw-data, single, single-axis, sky, sky-image, srml, tracker, weather
Organization: Department of Energy
FEMA Flood Plain

Federal Emergency Management Administration (FEMA) data clipped to Philadelphia. Please note, FEMA is moving away from solely using '100-year' and '500-year' flood terminology by emphasizing the more accurate and technical phrase '1-percent annual chance flood' for a 100-year flood and '0.2-percent annual chance flood' for a 500-year flood, focusing on the probability of occurrence rather than the time frame implied by the 'year' designation.

Tags: climate-change, department-of-planning-and-development, disaster-planning, environment, flooding
Organization: City of Philadelphia
Intelligent Transportation Systems (ITS) Deployment Tracking Survey Data Repository

The Intelligent Transportation Systems (ITS) Deployment Tracking Survey (DTS) Data Repository contains a set of downloadable electronic files related to a series of ITS surveys conducted over the past twenty years. Surveys included in the repository are divided into three main categories: ITS Deployment Tracking Surveys (1999 to 2020), the 2019 Connected and Automated Vehicle (CV/AV) Survey, and Special Topic Deployment Surveys.

This data is a product of the ITS JPO's ITS Evaluation Program.

Tags: arterial, automated-vehicles, connected-vehicles, deployment-tracking-survey-dts, freeway, intelligent-transportation-systems-its, its-cbll, its-joint-program-office-jpo, its-knowledge-resources, survey-data, transit
Organization: Department of Transportation
Biological Samples Database (BSD)

The Biological Sampling Database (BSD) is an Oracle relational database that is maintained at the NMFS Panama City Laboratory and NOAA NMFS Beaufort Laboratory. Data set includes port samples of reef fish species collected from commercial and recreational fishery landings in the U.S. South Atlantic (NC - FL Keys).  The data set serves as an inventory of samples stored at the NMFS Beaufort Laboratory as well as final processed data.  Information that may be inlcuded for each sample is trip level information, species, size meansurements, age, sex and reproductive data.

Tags: bluefin tuna, doc/noaa/nmfs/sefsc, gonads, hard parts, national marine fisheries service, noaa, observer samples, otoliths, pan biological sample database -- hard parts data, scales, southeast fisheries science center, spines, tip, trip interview program, tuna, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce