cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6077/sq9y-cq59
title: Consolidated Federal Funds Report (CFFR), Fiscal Year 1993

description: &lt;p&gt;The CFFR covers federal expenditures or obligations for the following categories: grants, salaries and wages, procurement contracts, direct payments for individuals, other direct payments, direct loans, guaranteed or insured loans, and insurance. Information available in the CFFR Data File includes the government identification code, program identification code, object/assistance type code, amount in whole dollars, and FIPS code. For each unique government unit code all programs are listed, and for each program all records with different object categories are listed. The CFFR Geographic Reference File contains the name and governmental unit code for all state, county, and subcounty areas in the country. In addition, the file contains associated geographic codes (FIPS, GSA, MSA, and Census Bureau place codes), the 1990 population, and the congressional districts serving each government unit. The CFFR Program Identification File contains program identification codes and their respective program titles. The CFFR Federal Agency File contains all four-digit (FIPS-95) codes identifying specific agencies. (Source: downloaded from ICPSR 7/13/10)&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Please Note&lt;/strong&gt;: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at &lt;a href="https://doi.org/10.3886/ICPSR06408.v1"&gt;https://doi.org/10.3886/ICPSR06408.v1&lt;/a&gt;. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.&lt;/p&gt;
description: Consolidated Federal Funds Report (CFFR), Fiscal Year
DOI: 10.6077/j5/rk3jmu
title: Integrated Postsecondary Education Data System (IPEDS): Fall Staff, 1995
title: EEO-6

description: &lt;p&gt;This survey, also known as the EEO-6 (Equal Employment Opportunity) was sent to any higher education institution with 15 or more full-time employees. The survey contains general institutional characteristics, full-time staff statistics, tenure information, and other employment data.&lt;/p&gt;
&lt;p&gt;Files in other formats and/or conversion programs may be available at the &lt;a href="https://nces.ed.gov/ipeds/datacenter/DataFiles.aspx?year=1995&amp;surveyNumber=5"&gt;IPEDS Data Center&lt;/a&gt;.&lt;/p&gt;
description: Integrated Postsecondary Education Data System (IPEDS): Fall Staff
DOI: 10.6077/j5/6wdygr
title: Integrated Postsecondary Education Data System (IPEDS): Institutional Characteristics, 1995/1996

description: &lt;p&gt;This collection offered data on basic characteristics of post secondary institutions in the United States and covers total institutional activities and institutional characteristics. Key data elements include the name, address, and telephone number of the institution as well as information about levels of course offerings, calendar system, admissions requirements, student services, accreditation, modes of instruction, and institutional eligibility for student financial aid programs.&lt;/p&gt;
description: Integrated Postsecondary Education Data System (IPEDS): Institutional Characteristics of Postsecondary Institutions
DOI: 10.6077/j5/2wr3ng
title: Current Population Survey, March 1996

description: &lt;p&gt;This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 15 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence on March 1, 1995. This file also contains data covering noncash income sources: food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, sex, race, household relationship, and Hispanic origin, is available for each person in the household enumerated. (Source: ICPSR, retrieved 06/23/2011)&lt;/p&gt;
description: Current Population Survey, March [Annual Demographic Files]
description: collection_notes: The CPS sample is based on the civilian noninstitutional population of the United States. The sample is located in 792 sample areas comprising 2,007 counties and independent cities with coverage in every State and in the District of Columbia
DOI: 10.15468/dl.66zuu4
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyommatus alcestis"
 ]
}

 The dataset includes 191 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014942-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6077/wnsf-q965
title: Russian Population Census, 2010

description: &lt;p&gt;Results of the 2010 Complete Russian Federation population census. The main aim of the 2010 census was to find out the exact size of the population across all population centers in the country, ranging from “millionaires’ cities” to the very smallest villages that may have just one inhabitant. The 2010 census was conducted on the basis of the Federal All-Russian Population Census Act, which makes participation a civil and social obligation. The list of questions under the Act, on which population data are collected does not include a person’s family name, first name, or patronymic.&lt;/p&gt;
description: collection_notes: **Notes translated using Google translate**: 

Methodological notes. The 2010 All-Russian Population Census was prepared taking into account domestic and foreign experience that, broad scientific discussion, UN recommendations and other international organizations. In the methodology of census versus past censuses a number of new provisions have been introduced, which are reflected in the to the published volumes with the results of the census.

Census method. With the All-Russian census, settlements in 2010, as in previous censuses, was used the method of polling the population and filling out the written sheets (questionnaires) by specially trained scribes. Enumerators during the census bypassed all the premises of their enumeration area where they lived or the population could live (including institutions, acceptance and organization). Questions were asked to the population in the formulation given in the questionnaires and in the "Instructions on the procedure for conducting the All-Russiancensus 2010 and filling out the census documents ". Recording information on census questionnaires was made from the words of the respondents without presenting any documents confirming the correctness answers. The collection of information was also carried out at the stationary allotments and, in exceptional cases, using calling the telephone connection. After the census, according to in accordance with the Federal Law "On the All-Russian population records "for persons who refused to participate in census (1.0 million people), and persons whose census were not found at home during the entire period of the census(2.6 million people), information was obtained from the active sources. In the census forms about such persons gender was noted and date of birth was recorded, other denia was not entered. In addition, the persons who participated in the census could refuse to answer some questions drew of the census form. In this case, the scribe will fill in I answered only those questions to which the respondent answered.
DOI: 10.6077/j5/x02fgs
title: Residential Transportation Energy Consumption Survey, 1994: Public Use Data

description: &lt;p&gt;The Residential Energy Consumption Surveys were designed by the Energy Information Administration (EIA) to provide information concerning energy consumption within the residential sector. Information about a housing unit is collected through personal interviews with adult residents of a representative national sample of households. Questions are asked about energy consumption of household appliances, energy use qualities of structural improvements such as heating and air conditioning, windows and doors, insulation as well as the time and circumstances of their installation. Data about actual energy consumption (excluding transportation fuel) are obtained from fuel records maintained by the households’ fuel suppliers. Each record in the survey represents a single household. The finest geographic identification available on each household record is Census division. Sample households from Alaska and Hawaii were removed from the public use file. Therefore, these data represent only the contiguous United States.&lt;/p&gt;
DOI: 10.6077/4w1v-jj15
title: Agency Master File, 1996 : City of Elmira Property Tax Parcel Listing

description: &lt;p&gt;City of Elmira Property Tax parcel listings for 1996&lt;/p&gt;
description: City of Elmira Property Tax Parcel Listing
DOI: 10.15468/dl.gufc6v
title: Occurrence Download

description: A dataset containing 4349 species occurrences available in GBIF matching the query:
{
 "InstitutionKey" : [
 "is 28a6f223-4cf9-4632-94c8-f7122252e97a"
 ]
}

 The dataset includes 4349 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014941-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6077/j5/yio04j
title: Residential Transportation Energy Consumption Survey, 1991: Public Use Data

description: &lt;p&gt;The Residential Energy Consumption Surveys were designed by the Energy Information Administration (EIA) to provide information concerning energy consumption within the residential sector. Information about a housing unit is collected through personal interviews with adult residents of a representative national sample of households. Questions are asked about energy consumption of household appliances, energy use qualities of structural improvements such as heating and air conditioning, windows and doors, insulation as well as the time and circumstances of their installation. Data about actual energy consumption (excluding transportation fuel) are obtained from fuel records maintained by the households’ fuel suppliers. Each record in the survey represents a single household. The finest geographic identification available on each household record is Census division. Sample households from Alaska and Hawaii were removed from the public use file. Therefore, these data represent only the contiguous United States.&lt;/p&gt;
description: collection_notes: A plan for rotation of sample units, first used in the 1982 RECS, was continued in 1990. The primary objective of this rotation plan (or longitudinal sample design) was to observe changes in a sample of the same housing units over the period between two RECS data collection cycles. This same feature can be used to observe changes in vehicle and transportation values. To accomplish this objective in an efficient way and to set the stage for continuity in the RECS series, systematic random procedures were used to divide the total set of Census tracts and enumeration districts into four subsamples. See Appendix A (Sample Design) of the "Housing Characteristics 1990" and "Household Energy Consumption and Expenditures 1990" reports for a thorough discussion of the sampling and operational procedures related to the longitudinal sample.
DOI: 10.6077/j5/qhj1xf
title: American Housing Survey, 2005: National Microdata

description: &lt;p&gt;This data collection provides information on the characteristics of a national sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units. Unlike previous years, the data are presented in eight separate parts: Part 1, Work Done Record (Replacement or Additions to the House), Part 2, Worker Record, Part 3, Mortgages (Owners Only), Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, Part 7, Ratio Verification, and Part 8, Mover Group Record. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who had recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of exterminator services, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy. (Source: ICPSR, retrieved 06/28/2011)&lt;/p&gt;
description: American Housing Survey National Files
description: collection_notes: See pp. 77-80 of ahs2005_codebook.pdf for sample status information.
DOI: 10.6077/3jkp-6v89
title: India, 2011 Census Demographic and Geographic Boundaries Files

description: &lt;p&gt;2011 Census of India Demographic &amp; Socio-Economic Statistics on the town level for the nation and village level for the states of Tamil Nadu and Puducherry. Includes geographic shapefiles, point files on the town level and vector files on the village level.&lt;/p&gt;
&lt;p&gt;Open-source polygon geometries at multiple administrative levels, including village/town, assembled from various public sources is publicly available through the Data Development Lab &lt;a href="https://www.devdatalab.org/shrug_download/shrug_select"&gt;here&lt;/a&gt;.&lt;/p&gt;
DOI: 10.6077/j5/ap04ef
title: Integrated Postsecondary Education Data System (IPEDS): Finance, 1994/1995 FY 1995

description: &lt;p&gt;This survey collects data that describe the status of Current Funds Revenues and Expenditures, Scholarship and Fellowship Expenditures, Expenditures for Acquisition of the Library Materials, Physical Plant Assets and Indebtedness, Endowment Assets, and Current Fund Balances for various types of post secondary institutions. The data are used by various government agencies for planning purposes. The subset of institutions (commonly known as HEGIS schools) represent those who are accredited by an agency recognized by the Secretary of Education.&lt;/p&gt;
description: Integrated Postsecondary Education Data System (IPEDS): Finance
DOI: 10.6077/wmbv-5b75
title: American Community Survey, 2005-2007: 3-year Public Use Microdata Sample [IPUMS Version]

description: &lt;p&gt;This data collection contains data relating to the historical censuses of the United States that make up the Integrated Public Use Microdata Series (IPUMS) disseminated through the Minnesota Population Center at the University of Minnesota. The American Community Survey (ACS) is a part of the Decennial Census Program, and is designed to produce critical information about the characteristics of local communities. The ACS publishes social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States and Puerto Rico. Every year the ACS supports the release of single-year estimates for geographic areas with populations of 65,000 or more. Demographic variables include sex, age, relationship, households by type, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, disability status, residence one year ago, place of birth, United States citizenship status, year of entry, world region of birth of foreign born, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status. Variables focusing on housing characteristics include occupancy, units in structure, year structure was built, number of rooms, number of bedrooms, housing tenure, year householder moved into unit, vehicles available, house heating fuel, utility costs, occupants per room, housing value, and mortgage status. The American Community Survey is conducted under the authority of Title 13, United States Code, Sections 141 and 193, and response is mandatory.&lt;/p&gt;
DOI: 10.6077/j5/nar7mc
title: Integrated Postsecondary Education Data System (IPEDS): Earned Degrees (Completions), 1997/1998

description: &lt;p&gt;This data collection contains information on degrees earned at a sample of postsecondary institutions in the United States. Data were collected from institutions offering programs of four years or more, those offering programs between two and four years in length, and those offering programs of less than two years. For each institution, data are provided on field of study and on type of degree including associate's degree, bachelor's degree, master's degree, doctoral degree, professional degree, and various types of certificates. Data are broken down by sex for field of study and type of degree, and by race for type of degree. (Source: downloaded from ICPSR 7/13/10)&lt;/p&gt;
description: Integrated Postsecondary Education Data System (IPEDS): Earned Degrees
DOI: 10.6077/j5/qxkict
title: Integrated Postsecondary Education Data System (IPEDS): Fall Staff, 1997
title: EEO-6

description: &lt;p&gt;This survey, also known as the EEO-6 (Equal Employment Opportunity) was sent to any higher education institution with 15 or more full-time employees. The survey contains general institutional characteristics, full-time staff statistics, tenure information, and other employment data.&lt;/p&gt;
description: Integrated Postsecondary Education Data System (IPEDS): Fall Staff
description: collection_notes: The 1997 IPEDS Fall Staff report differs significantly from past reports due to the revisions in the classifications of postsecondary institutions under the 1996 definitions and guidelines implemented by NCES. In the past, reports have focused on staff employed in postsecondary institutions that were accredited at the college level by an agency recognized by the Secretary, U.S. Department of Education (ED). ED is no longer distinguishing among institutions based on accreditation level. As a result, NCES now subdivides the postsecondary institutional universe into schools that are eligible to receive Title IV federal financial assistance and those that are not. Lists of Title IV-eligible postsecondary institutions are maintained by ED's Office of Postsecondary Education through the Postsecondary Education Participation System (PEPS) file. These changes will have an effect on any trend analysis that includes data collected in 1997 and previous years.
DOI: 10.6077/j5/f6trxp
title: Integrated Postsecondary Education Data System (IPEDS): Earned Degrees (Completions), 1996/1997

description: &lt;p&gt;This data collection contains information on degrees earned at a sample of postsecondary institutions in the United States. Data were collected from institutions offering programs of four years or more, those offering programs between two and four years in length, and those offering programs of less than two years. For each institution, data are provided on field of study and on type of degree including associate's degree, bachelor's degree, master's degree, doctoral degree, professional degree, and various types of certificates. Data are broken down by sex for field of study and type of degree, and by race for type of degree. (Source: downloaded from ICPSR 7/13/10)&lt;/p&gt;
description: Integrated Postsecondary Education Data System (IPEDS): Earned Degrees
DOI: 10.6077/j5/9dvu1i
title: Integrated Postsecondary Education Data System (IPEDS): Earned Degrees (Completions), 1994/1995

description: &lt;p&gt;This file contains data reported for the IPEDS Completions Survey for academic year 1994-1995. The data was collected for nearly 9,000 institutions. The data include: number of degrees and other awards by institution, field of study, level of award, gender, and race/ethnicity. This survey differs substantially from surveys taken in years past.&lt;/p&gt;
description: Integrated Postsecondary Education Data System (IPEDS): Earned Degrees
DOI: 10.6077/j5/2rjryh
title: Fatality Analysis Reporting System (FARS), 1975-1997

description: &lt;p&gt;FARS is a nationwide census providing NHTSA, Congress and the American public yearly data regarding fatal injuries suffered in motor vehicle traffic crashes&lt;/p&gt;
description: Fatality Analysis Reporting System
description: collection_notes: To be included in this census of crashes a crash had to involve a motor vehicle traveling on a trafficway customarily open to the public, and must result in the death of a person (occupant of a vehicle or a nonmotorist) within 30 days of the crash.
DOI: 10.6077/knay-8v97
title: Projected Revenue Losses for 410 Florida Municipalities Based on Sea Level Rise in 2100, Base Year 2017

description: &lt;p&gt;This data includes fiscal revenues for US Census-designated places (municipalities) and land use data for the same municipalities. The creators also calculated an estimated lost revenue from property taxes, charges, and fees that might be lost based on sea level rise projections from the Union of Concerned Scientists.&lt;/p&gt;
&lt;p&gt;The zip file, which contains all data and SQL scripts to join them, is 5.93 GB compressed. The largest file in it, uncompressed, parcels_slr, is over 19 GB. If you have any difficulties downloading this file, please contact socialsciences@cornell.edu for assistance.&lt;/p&gt;
description: collection_notes: **Provided by the Authors:** We used the US Census to identify the municipalities in Florida. Using the FLORIDA PARCEL DATA STATEWIDE - 2017 (https://www.fgdl.org/), we obtained parcel-level assessed property values (non-school district). A team of graduate students (led by Jon Ignatowski) manually collected municipal property tax rates for different land use categories. Sea level rise data were obtained from the Union of Concerned Scientists. We then built a PostGIS database to identify which parcels would be inundated under the moderate scenario in 2100 and the impact this would have on total revenues for each municipality. Based on this analysis and the land use values in the parcel database, we calculated the proportion of each municipality covered by different land uses.

See Read Me file for additional details.
DOI: 10.6077/j5/6auton
title: Enquête Emploi, 1990-2002

description: &lt;p&gt;This data collection contains the French Labor Force Survey for 1990-2002. The survey was conducted by the Institut National de la Statistique et des Etudes Economiques, and includes unemployment statistics, occupational data, workforce participation of women and youth, working hours, housing characteristics, and demographic information.&lt;/p&gt;