AndreaBozzo/ceres-open-data-index huggingface dataset:
Greenhouse Gas Emissions From Fuel Combustion, By Fuel Type, Million Metric Tons

The Greenhouse Gas Emissions Inventory details the estimated New York State emissions releases from fuel combustion.  The dataset includes a fuel type breakdown, by sector, for the current year.

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 https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Tags: co2, energy, fuel-combustion, greenhouse-gas, nyserda-patterns-and-trends, pt
Organization: State of New York
Multifamily Residential Existing and New Construction Energy Efficiency Projects Reported By NYSERDA: Beginning 2005

The Multifamily Performance Program (MPP) serves residential buildings with five or more units. Funds are targeted at energy efficiency measures that help to reduce on-site electricity, oil,  natural gas, steam, and propane energy demand and energy consumption in multi-unit residential buildings. All buildings receive program support for energy assessments to identify and determine cost-effective measures, expected energy savings, and installation costs. Our dataset is then compiled from the information. The dataset includes information collected throughout the project application process and energy assessments from several NYSERDA-funded programs, including Multifamily Performance Program-Existing Buildings, Multifamily Performance Program-New Construction, and Multifamily Performance Program-Energy Star Pilot.
The Multifamily Residential Existing and New Construction Energy Efficiency Projects Reported by NYSERDA: Beginning 2005 dataset includes the following data points for completed projects: Project Name, Program Type, Building Address1, Building City, Building ZIP, Property County, Electric Utility, Gas Utility, Market Type, Number of Buildings, Number of Units, Application NYSERDA Approved Date, Project Completed Date, Funding Amount, Proposed Install Unit Cost, Total Estimated Electric Savings, Total Estimated Annual Energy Savings, and Total Estimated Electric Demand Reduction (MW). Information about the Projects’ measures, measure category, and estimated energy savings by fuel type can be found in the Multifamily Residential Existing and New Construction Energy Efficiency Measures Reported by NYSERDA: Beginning 2005 dataset.
Reported savings account for interactive effects between measures.

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 https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Tags: mpp, multifamily-performance-program
Organization: State of New York
NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2018-2022

The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is based upon research conducted for a forthcoming Low-Income Energy Bill and Usage Study, which will be published in 2026. The data primarily came from the U.S. Census Bureau’s American Community Survey (ACS) 2018-2022 data.

Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. 

The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the New York State Low- to Moderate-Income Census Population Analysis Tool (2018-2022).  The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Census Population Tool at https://www.nyserda.ny.gov/About/Publications/Evaluation-Reports/Low--to-Moderate-Income/LMI-Census-Population-Tool.

This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).

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 https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Tags: economic-development-regions, heating-fuel-type, household, income, lmi, low-to-moderate-income, poverty
Organization: State of New York
BREC Park Amenities

This dataset displays all facilities, properties and amenities operated by the East Baton Rouge Parish Recreation and Park Commission (BREC).  This includes all public parks, golf courses, community centers, and special purpose recreational facilities (such as the Baton Rouge Zoo).

The amenity columns (BMX, Fishing Access, Tennis Courts, etc) indicate with a Yes or No whether that amenity exists at each park.

Tags: brec, park, recreation
Organization: City of Baton Rouge
Traffic Signal

<DIV STYLE="text-align:Left;"><P><SPAN>The dataset contains the location and attributes of traffic signals in the District of Columbia. Attributes are aggregated to the controller level (ACISA), where a single controller directs one or more traffic signals at one intersection or clustered intersections. The following attributes of signalized intersections are tracked: leading pedestrian intervals (LPIs), No Turn on Red (NTOR) signage, all-pedestrian phases, bike phases, queue jumps, transit signal priority (TSP), pedestrian recall mode, HAWK/PHB signals, and accessible pedestrian signals (APS).</SPAN></P><P><SPAN>This data is updated periodically and may not be current at the time of viewing. More information on safety features implemented at traffic signals can be found here: https://visionzero.dc.gov/pages/engineering.</SPAN></P></DIV>

Tags: ddot, traffic-safety, traffic-signal, transportation
Organization: District of Columbia
Storm Drain Marker Installations

<div style="text-align:Left;"><div><div><p style="margin:0;">Storm Drain Marker Installations is a data layer showing where storm drain markers were installed on storm sewer catchments. Markers indicate that the sewer catchments drain to the Chesapeake Bay watershed and to report pollution to DC's 311 service line. Markers are installed by DOEE and volunteer groups.<span style="font-size:14pt;"> </span>This dataset should not be considered as a complete capture of all DC storm drains. There are some storm drains that are knowingly not included within this layer. Catchbasin ID refers to DC Water's ID for each storm drain.</p></div></div></div>

Tags: district-of-columbia, doee, environment, flood, rain, storm-drains, washington-dc, water
Organization: District of Columbia
Bias Crime

<div style="text-align:Left;"><div><div><p><span>It is important for the community to understand what is – and is not – a hate crime. First and foremost, the incident must be a crime. Although that may seem obvious, most speech is not a hate crime, regardless of how offensive it may be. In addition, a hate crime is not a crime, but a possible motive for a crime.</span></p><p><span>It can be difficult to establish a motive for a crime. Therefore, the classification as a hate crime is subject to change as an investigation proceeds – even as prosecutors continue an investigation. If a person is found guilty of a hate crime, the court may fine the offender up to 1½ times the maximum fine and imprison him or her for up to 1½ times the maximum term authorized for the underlying crime.</span></p><p><span>While the District strives to reduce crime for all residents of and visitors to the city, hate crimes can make a particular community feel vulnerable and more fearful. This is unacceptable, and is the reason everyone must work together not just to address allegations of hate crimes, but also to proactively educate the public about hate crimes.</span></p><p><span>The figures in this data align with DC Official Code 22-3700. Because the DC statute differs from the FBI Uniform Crime Reporting (UCR) and National Incident-Based Reporting System (NIBRS) definitions, these figures may be higher than those reported to the FBI.</span></p><p><span>Each month, an MPD team reviews crimes that have been identified as potentially motivated by hate/bias to determine whether there is sufficient information to support that designation. The data in this document is current through the end of the most recent month.</span></p><p><span>The hate crimes dataset is not an official MPD database of record and may not match details in records pulled from the official Records Management System (RMS).</span></p><p><span>Unknown or blank values in the Targeted Group field may be present prior to 2016 data. As of January 2022, an offense with multiple bias categories would be reflected as such.</span></p><p><span>Data is updated on the 15th of every month.</span></p></div></div></div>

Tags: crime, dc, district-of-columbia, hate-crime, mpd, washington-dc
Organization: District of Columbia
RiverSmart Homes

<p></p><p>RiverSmart Homes is a program of the District of Columbia offering incentives to residents to reduce stormwater runoff from their properties. </p><p>Residents receive a stormwater assessment to determine their eligibility for financial and technical assistance to install one or more of the following features: rain barrels, rain gardens, BayScapes (native plantings), shade trees, and permeable pavers. </p>

Tags: bmp, dc, district-of-columbia, doee, environment, resident, riversmart-homes, rsh, storm-water-management, washington-dc
Organization: District of Columbia
Urban Forestry

DDOT's Urban Forestry Division (UFD) is the primary steward of Washington DC's ~200,000 public trees and has a mission of keeping this resource healthy, safe, &amp; growing! Trees in the city are critical to our well-being. Among many other benefits, these trees improve our air and water quality, cool our neighborhoods, and provide critical habitat for birds, bees, and...people, too! To help the public understand and connect with the forest that surrounds them, UFD has created this interactive portal. Scroll down to explore information describing the history, value, and management of the urban forest in Washington, DC.

Tags: dc, ddot, district-of-columbia, hub-site, urban-forestry, washington-dc
Organization: District of Columbia
Minimum Data Set Frequency

The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS.

 

When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., "01" becomes "1") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.

Tags: medicaid, medicare
Organization: U.S. Department of Health & Human Services
Variable Insurance Product Data Sets

The VIP Data Sets provide the text and numeric information extracted from Forms N-3, N-4 and N-6 – the registration forms for variable annuity contracts and contracts offering Index-Linked Options and/or Fixed Options subject to a contract adjustment – filed with the Commission in eXtensible Business Reporting Language (XBRL). The data is presented in a flat file format to assist users in constructing the data for analysis.  The data has been automatically and directly taken from submissions created by the registrants and provided as filed with the Commission.  The data sets only include publicly available information from filings that have been disseminated by the Commission.

Tags: sec-markets-and-data, xbrl-filings
Organization: Securities and Exchange Commission
Insider Transactions Data Sets

Under Section 16 of the Securities Exchange Act of 1934, senior executives, directors, and large-block shareholders are required to make ongoing filings about their company stock holdings to report any changes. These filings are made on Form 3, Form 4, and Form 5 and submitted to SECs Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system. 

Tags: data-sets, form-345, sec-markets-and-data
Organization: Securities and Exchange Commission
NREL MOIS Data for NWEI Azura September 2015

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hi, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
NREL MOIS Data for NWEI Azura July 2015

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
NREL MOIS Data for NWEI Azura August 2015

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
NREL MOIS Data for NWEI Azura June 2015

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hi, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
BLM ID Sage Grouse Habitat 2007

The 2007 Sage-grouse Habitat Planning Map update incorporates wildfire data and other edits relevant to the 2007 field and fire season as per typical processes used during the past decade. Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. Beginning in 2015, the NA class was included to track areas that were previously identified as habitat but were removed due to vegetation type or terrain (eg. stands of existing timber on North-facing slopes). A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Edits may also document refinements discovered through inventory, monitoring and modeling. This data covers all of Idaho and a small area in Nevada that is managed by Idaho BLM. Intended scale of use is 1:100,000. This dataset is not synonymous with BLM's Sage-grouse Habitat Management Areas (Priority, Important and General) as those incorporate additional habitat and sage-grouse population data or models.

Tags: 2007, biota, blm, boise-district-office, bruneau-field-office, bureau-of-land-management, burley-field-office, centrocercus-urophasianus, challis-field-office, department-of-energy, department-of-the-interior, doe, doi, environment, forest-service, four-rivers-field-office, fragmentation, greater-sage-grouse, habitat, id, idaho, idaho-falls-district, jarbidge-field-office, nevada, nv, owyhee-field-office, pocatello-field-office, restoration, sage-grouse, salmon-field-office, shoshone-field-office, twin-falls-district-office, u-s-department-of-agriculture, united-states, upper-snake-field-office, us, vegetation, wildlife
Organization: Department of the Interior
Pharmacy Locations

<div style='text-align:Left;'><div><div><p><span>The pharmacy license dataset is pulled from the Health Regulation and Licensing Administration's Pharmacy Control Division within DC Health. RX licenses are updated monthly through an automated process. For more information on pharmaceutical licensing, please visit the DC Health's website at </span><a href='https://dchealth.dc.gov:443/' style='text-decoration:underline;' target='_blank' rel='nofollow ugc noopener noreferrer'><span>dchealth.dc.gov</span></a><span>. Search for Pharmaceutical Control Division.</span></p></div></div></div>

Tags: controlled-substance, dc, district-of-columbia, doctor, health, medical, medication, pharmacy, prescription, rx, washington-dc
Organization: District of Columbia
BLM ID Sage Grouse Habitat 2008

The 2008 Sage-grouse Habitat Planning Map update incorporates wildfire data and other edits relevant to the 2008 field and fire season as per typical processes used during the past decade. Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. Beginning in 2015, the NA class was included to track areas that were previously identified as habitat but were removed due to vegetation type or terrain (eg. stands of existing timber on North-facing slopes). A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Edits may also document refinements discovered through inventory, monitoring and modeling. This data covers all of Idaho and a small area in Nevada that is managed by Idaho BLM. Intended scale of use is 1:100,000. This dataset is not synonymous with BLM's Sage-grouse Habitat Management Areas (Priority, Important and General) as those incorporate additional habitat and sage-grouse population data or models.

Tags: 2008, biota, blm, boise-district-office, bruneau-field-office, bureau-of-land-management, burley-field-office, centrocercus-urophasianus, challis-field-office, department-of-energy, department-of-the-interior, doe, doi, environment, forest-service, four-rivers-field-office, fragmentation, greater-sage-grouse, habitat, id, idaho, idaho-falls-district, jarbidge-field-office, nevada, nv, owyhee-field-office, pocatello-field-office, restoration, sage-grouse, salmon-field-office, shoshone-field-office, twin-falls-district-office, u-s-department-of-agriculture, united-states, upper-snake-field-office, us, vegetation, wildlife
Organization: Department of the Interior