cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr07894
title: Commodity Production Statistics, 1958-1979
title: Archival Version

description: The United Nations created this dataset using data from
 reporting countries regarding their yearly commodity production for
 the years 1958-1979. For each country, year, and commodity, statistics
 are given on the quantity produced. Commodities are classified
 according to international industrial classification group standards
 and include agricultural and livestock production, ocean and coastal
 fishing, chemical and fertilizer mineral production, manufacture of
 bakery products, spinning and weaving, manufacture of machinery, and
 manufacture of musical instruments. The data are collected in two
 files: Part one contains information for the years 1964-1979, Part two
 for the years 1958-1973 (with some instances of overlapping data years
 in the files). The data in this collection constitute the master file
of input to the YEARBOOK OF INDUSTRIAL PRODUCTION, VOLUME II.
description: Datasets: 
DS0: Study-Level Files
DS1: 1958-1973 Data
DS2: 1964-1979 Data
DOI: 10.3886/icpsr07570.v1
title: Survey of United States Congressional Candidates, 1976
title: Version 1

description: This data collection contains the results of a survey of
 the candidates who ran for United States Senate and the United States
 House of Representatives in 1976. By surveying such candidates, the
 Federal Election Commission (FEC) was attempting to collect
 systematically the views of those directly affected and regulated by
 the Federal Election Campaign Act (FECA) as it was amended in 1974 and
 1976. Those amendments called for significant changes in the rules for
 campaign contributions and expenditures, restrictions on independent
 expenditures and in-kind contributions, and public disclosure of all
 federal campaign activity. The survey was conducted by Decision
 Making Information of Santa Ana, California, and Hart Research
 Commission in the first two months of 1976. In all, 850 respondents
 (candidates, campaign managers, and other campaign representatives)
 were interviewed by mail or in person. The survey questions focused on
 seven major topics: (1) actual characteristics of the campaigns and
 the candidates covered by the survey, (2) experiences during the 1976
 election, (3) finances in 1976, (4) impact of the FECA on campaign
 organization, (5) the role played by the Federal Election Commission
 (FEC) as an information source for, and regulator of, campaigns, (6)
 which items dealt with by the FECA were favored or opposed by
 candidates and campaign managers who participated in the 1976
 election, and (7) the respondent's overall feelings about what should
be done in the future.
description: Stratified random sampling was done. The 850 respondents
 represented an accurate cross-section of House and Senate candidates,
 chosen by random interval selection methods and stratified by several
 factors: Senate/House campaigns, primary/general campaigns, party
affiliation, and geographic regions.
description: Datasets: 
DS1: Survey of United States Congressional Candidates, 1976
description: The 2,150 United States House of Representatives and
 United States Senate candidates in 1976 whose names appeared on a
 primary or general ballot. Those candidates who filed a statement with
 the FECA but failed to run in 1976, as well as those who failed in
 1976 to complete reporting requirements for an office sought in
preceding years (1974 or 1972) were eliminated from the universe.
DOI: 10.3886/icpsr07886.v1
title: Electric Utility Rate Demonstration Project: Oklahoma, 1977-1978
title: Version 1

description: One in a series of studies on customer response to utility
regulatory pricing in early 1975, the Oklahoma demonstration project
was carried out by the Federal Energy Administration (FEA), the city
of Edmond, Central State University, C.H. Guernsey and Company, and
the Center for Economic and Management Research at the University of
Oklahoma. The project spanned one year from 1977 to 1978. The study,
also titled the Electricity Rate Study or Electric Demonstration
Project, was an experiment to generate and analyze data on the effects
of peak-load pricing on residential electricity consumption. The
experimental design featured four non-traditional rate structures:
time of day rates, flat rates, seasonal rates, and a combination of
seasonal and time-of-day rates. Four sets of data resulted from the
demonstration: questionnaire survey data from customers, utility load
reports, weather data, and customer usage records. (No summary
demographic information exists.) Only data from the post-experimental
customer questionnaire survey are available in this data collection.
description: Stratified random probability sampling.
description: Datasets: 
DS1: Electric Utility Rate Demonstration Project: Oklahoma, 1977-1978
description: The residential customers of the Edmond Municipal Electric
(EME) Company.
DOI: 10.3886/icpsr07886
title: Electric Utility Rate Demonstration Project: Oklahoma, 1977-1978
title: Archival Version

description: One in a series of studies on customer response to utility
regulatory pricing in early 1975, the Oklahoma demonstration project
was carried out by the Federal Energy Administration (FEA), the city
of Edmond, Central State University, C.H. Guernsey and Company, and
the Center for Economic and Management Research at the University of
Oklahoma. The project spanned one year from 1977 to 1978. The study,
also titled the Electricity Rate Study or Electric Demonstration
Project, was an experiment to generate and analyze data on the effects
of peak-load pricing on residential electricity consumption. The
experimental design featured four non-traditional rate structures:
time of day rates, flat rates, seasonal rates, and a combination of
seasonal and time-of-day rates. Four sets of data resulted from the
demonstration: questionnaire survey data from customers, utility load
reports, weather data, and customer usage records. (No summary
demographic information exists.) Only data from the post-experimental
customer questionnaire survey are available in this data collection.
description: Stratified random probability sampling.
description: Datasets: 
DS1: Electric Utility Rate Demonstration Project: Oklahoma, 1977-1978
description: The residential customers of the Edmond Municipal Electric
(EME) Company.
DOI: 10.3886/icpsr08150.v1
title: County-Level Political, Economic, and Social Statistics for New York State: 1962-1978
title: Version 1

description: This data collection contains political, economic, and
 social data covering five years: 1962, 1966, 1971, 1976, and
 1978. Information was collected from 57 counties in the state of New
 York, excluding those in New York City. The variables include taxes,
 revenues, expenditures, federal aid, demographic variables, and vote
 returns for president, senator, and governor. The data are arranged
first by year, then by county, and then by deck number.
description: Datasets: 
DS1: County-Level Political, Economic, and Social Statistics for New York State: 1962-1978
DOI: 10.3886/icpsr08150
title: County-Level Political, Economic, and Social Statistics for New York State: 1962-1978
title: Archival Version

description: This data collection contains political, economic, and
 social data covering five years: 1962, 1966, 1971, 1976, and
 1978. Information was collected from 57 counties in the state of New
 York, excluding those in New York City. The variables include taxes,
 revenues, expenditures, federal aid, demographic variables, and vote
 returns for president, senator, and governor. The data are arranged
first by year, then by county, and then by deck number.
description: Datasets: 
DS1: County-Level Political, Economic, and Social Statistics for New York State: 1962-1978
DOI: 10.7910/dvn/dyebvm
title: Replication Data for: "Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment"

description: Official implementation, windowed MSAs, and the predictions as reported in the manuscript titled "Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment".
DOI: 10.3886/icpsr07934.v1
title: Current Population Survey, May 1971
title: Version 1

description: This data collection supplies standard monthly labor force
 data for the week prior to the survey. Comprehensive information is
 given on the employment status, occupation, and industry of persons 14
 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. Supplemental information
 on respondents with more than one job includes weekly income, reason for
 additional job, and days worked per week. Data on private household
 workers is also provided, including wages earned and hours worked, and
 whether health insurance or paid holidays, vacations, or sick leave
 were available. Information on demographic characteristics, such as
 age, sex, race, household relationship, marital status, veteran
 status, and educational attainment, is available for each person in
the household enumerated.
description: A national probability sample was used in selecting
 housing units. Persons 14 years old and older in the sampled units
were surveyed.
description: Datasets: 
DS1: Current Population Survey, May 1971
description: Persons in the civilian noninstitutional population of the
 United States including members of the armed forces living in civilian
housing units in May 1971.
description: (1) All records contain weights, which must be used in 
 any analysis. (2) The codebook is provided by ICPSR as a Portable
 Document Format (PDF) file. The PDF file format was developed
 by Adobe Systems Incorporated and can be accessed using PDF
 reader software, such as the Adobe Acrobat Reader. Information
 on how to obtain a copy of the Acrobat Reader is provided on the
ICPSR Web site.
DOI: 10.3886/icpsr07934
title: Current Population Survey, May 1971
title: Archival Version

description: This data collection supplies standard monthly labor force
 data for the week prior to the survey. Comprehensive information is
 given on the employment status, occupation, and industry of persons 14
 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. Supplemental information
 on respondents with more than one job includes weekly income, reason for
 additional job, and days worked per week. Data on private household
 workers is also provided, including wages earned and hours worked, and
 whether health insurance or paid holidays, vacations, or sick leave
 were available. Information on demographic characteristics, such as
 age, sex, race, household relationship, marital status, veteran
 status, and educational attainment, is available for each person in
the household enumerated.
description: A national probability sample was used in selecting
 housing units. Persons 14 years old and older in the sampled units
were surveyed.
description: Datasets: 
DS1: Current Population Survey, May 1971
description: Persons in the civilian noninstitutional population of the
 United States including members of the armed forces living in civilian
housing units in May 1971.
description: (1) All records contain weights, which must be used in 
 any analysis. (2) The codebook is provided by ICPSR as a Portable
 Document Format (PDF) file. The PDF file format was developed
 by Adobe Systems Incorporated and can be accessed using PDF
 reader software, such as the Adobe Acrobat Reader. Information
 on how to obtain a copy of the Acrobat Reader is provided on the
ICPSR Web site.
DOI: 10.15468/dl.gkvrp8
title: Occurrence Download

description: A dataset containing 4549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dacnis hartlaubi P.L.Sclater, 1855"
 ]
}

 The dataset includes 4549 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072072-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr08143.v1
title: Current Population Survey, June 1981
title: Version 1

description: This data collection supplies standard monthly labor force
 data for the week prior to the survey. Comprehensive information is
 given on the employment status, occupation, and industry of persons 14
 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. Besides the CPS core
 questions, this survey also gathered supplemental data on birth
 history and birth expectations. Data for women aged 15-59 years
 include the total number of children ever born, data of birth of the
 first child and most recent child, and date of first marriage. Women
 aged 18-34 years were asked to provide the number of children they
 expected to have within the next five years. Information on
 demographic characteristics, such as sex, age, race, marital status,
 veteran status, household relationship, income, educational
 background, and Hispanic origin, is available for each person in the
household enumerated.
description: A national probability sample was used in selecting
housing units. Approximately 77,000 households were sampled.
description: Datasets: 
DS1: Current Population Survey, June 1981
description: All persons in the civilian noninstitutionalized
population of the United States living in households.
DOI: 10.5281/zenodo.15535245
title: ISMB/ECCB25 -  VT3 tutorial data

description: Tissues and organs are complex and highly-organized systems composed of diverse cells that work together to maintain homeostasis, drive development and mediate complex disease progression as Myocardial Infarction (Kuppe et al. 2022). A key focus of modern biology is understanding how heterogeneous populations of cells coexist and communicate with each other (intercellular signaling), how they properly respond (intracellular signaling) within a tissue and organ system and how these processes vary across different experimental conditions (comparative analysis). Recently, a rapid expansion of computational tools exploring the expression of ligand and receptor has enabled the systematic inference of cell-cell communication from single-cell transcriptomics and spatial transcriptomics data (Armingol et al. 2021; Armingol, Baghdassarian, and Lewis 2024). These are crucial in unravelling the complex landscape of biological systems.

This tutorial aims to provide a comprehensive introduction to computational approaches for cell-cell communication inference using high throughput transcriptomics data. It covers the fundamental concepts of cellular communication and assumptions underlying analysis focusing on the main computational methods used in the field. This includes computational approaches for inter-cellular communication inference (CellphoneDB (Efremova et al. 2020); LIANA (Dimitrov et al. 2022, 2024)) and for intra-cellular signals communication (scSeqComm (Baruzzo, Cesaro, and Di Camillo 2022); NicheNet (Browaeys, Saelens, and Saeys 2019)). Next, we will describe approaches for comparative analysis of cell-cell networks in distinct biological conditions (CrossTalkeR (Nagai et al. 2021)) and methods for spatially resolved cell-cell communications (Ischia (Regan-KomitoDaniel 2024); DeepCOLOR (Kojima et al. 2024)).

In the first part of the tutorial, participants will be introduced to the theoretical basis of state-of-the-art computational approaches and will learn how to use representative tools for inferring intercellular signaling and intracellular signaling pathways. In the second part, we will focus on the comparative analyses, i.e. changes of cell-cell communication in two conditions, and subsequently highlighting the unique insights spatial transcriptomics data can provide for understanding tissue architecture and cellular communication. Both sections will be followed by a hands-on component based on the analysis of single cell and spatial transcriptomics data from the myocardial infarction atlas (Kuppe et al. 2022). To promote transparency, all the codes, software tools and the datasets used throughout the tutorial will be available and accessible through open-access repositories (e.g. GitHub repositories or Zenodo platforms).

During the ISMB VT3 tutorial, we will work with data from the Myocardial Infarction atlas from Kuppe, C. et. al., 2022 . This is a subset with 23 snRNA and Visium 10x paired samples (samples with less than 1500 cells in the snRNA-seq data were filtered out), and 33 different cell subtypes
DOI: 10.5281/zenodo.15756745
title: ISMB/ECCB25 -  VT3 tutorial data

description: Tissues and organs are complex and highly-organized systems composed of diverse cells that work together to maintain homeostasis, drive development and mediate complex disease progression as Myocardial Infarction (Kuppe et al. 2022). A key focus of modern biology is understanding how heterogeneous populations of cells coexist and communicate with each other (intercellular signaling), how they properly respond (intracellular signaling) within a tissue and organ system and how these processes vary across different experimental conditions (comparative analysis). Recently, a rapid expansion of computational tools exploring the expression of ligand and receptor has enabled the systematic inference of cell-cell communication from single-cell transcriptomics and spatial transcriptomics data (Armingol et al. 2021; Armingol, Baghdassarian, and Lewis 2024). These are crucial in unravelling the complex landscape of biological systems.

This tutorial aims to provide a comprehensive introduction to computational approaches for cell-cell communication inference using high throughput transcriptomics data. It covers the fundamental concepts of cellular communication and assumptions underlying analysis focusing on the main computational methods used in the field. This includes computational approaches for inter-cellular communication inference (CellphoneDB (Efremova et al. 2020); LIANA (Dimitrov et al. 2022, 2024)) and for intra-cellular signals communication (scSeqComm (Baruzzo, Cesaro, and Di Camillo 2022); NicheNet (Browaeys, Saelens, and Saeys 2019)). Next, we will describe approaches for comparative analysis of cell-cell networks in distinct biological conditions (CrossTalkeR (Nagai et al. 2021)) and methods for spatially resolved cell-cell communications (Ischia (Regan-KomitoDaniel 2024); DeepCOLOR (Kojima et al. 2024)).

In the first part of the tutorial, participants will be introduced to the theoretical basis of state-of-the-art computational approaches and will learn how to use representative tools for inferring intercellular signaling and intracellular signaling pathways. In the second part, we will focus on the comparative analyses, i.e. changes of cell-cell communication in two conditions, and subsequently highlighting the unique insights spatial transcriptomics data can provide for understanding tissue architecture and cellular communication. Both sections will be followed by a hands-on component based on the analysis of single cell and spatial transcriptomics data from the myocardial infarction atlas (Kuppe et al. 2022). To promote transparency, all the codes, software tools and the datasets used throughout the tutorial will be available and accessible through open-access repositories (e.g. GitHub repositories or Zenodo platforms).

During the ISMB VT3 tutorial, we will work with data from the Myocardial Infarction atlas from Kuppe, C. et. al., 2022 . This is a subset with 23 snRNA and Visium 10x paired samples (samples with less than 1500 cells in the snRNA-seq data were filtered out), and 33 different cell subtypes
DOI: 10.15468/dl.utms8k
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-75.5 -18.5,-69.5 -18.5,-69.5 -14,-75.5 -14,-75.5 -18.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptasthenura aegithaloides (Kittlitz, 1830)"
 ]
}

 The dataset includes 88 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072073-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr07938.v1
title: Current Population Survey, May 1975
title: Version 1

description: This data collection supplies standard monthly labor force
 data for the week prior to the survey. Comprehensive information is
 given on the employment status, occupation, and industry of persons 14
 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. Supplemental information
 on respondents with more than one job includes weekly income, reason
 for additional job, hourly wage amount, days and hours worked per
 week, labor union membership, and time of day work began and
 ended. Information on demographic characteristics, such as age, sex,
 race, household relationship, marital status, veteran status,
 educational attainment, and Hispanic origin, is available for each
person in the household enumerated.
description: A national probability sample was used in selecting
 housing units. Persons 14 years old and older in the sample were
surveyed.
description: Datasets: 
DS1: Current Population Survey, May 1975
description: Persons in the civilian noninstitutional population of the
 United States including members of the armed forces living in civilian
housing units in May 1975.
description: (1) All records contain weights, which must be used in 
 any analysis. (2) The codebook is provided by ICPSR as a Portable
 Document Format (PDF) file. The PDF file format was developed
 by Adobe Systems Incorporated and can be accessed using PDF
 reader software, such as the Adobe Acrobat Reader. Information
 on how to obtain a copy of the Acrobat Reader is provided on the
ICPSR Web site.
DOI: 10.3886/icpsr08084.v1
title: Statistics of Income: Corporate Source Book, 1976
title: Version 1

description: The Corporate Source Book is created annually from
 corporate income tax returns filed with the Internal Revenue Service
 (IRS). The records are arranged by minor industry codes, asset size
 class, and by the presence of net income. There are two records (one
 with net income and one without net income) for each of the asset size
 classes, for each of the minor industry codes. The more than 6,000
 records represent the averages for the 110,000-150,000 corporate
income tax returns sampled annually.
description: Stratified sample of the 1.5-1.8 million corporate income
 tax returns. The sample was stratified on the basis of total assets,
 net income or deficit, minor industry codes, and type of
 return. Sample rates range from 2-100 percent, increasing with asset
size.
description: Datasets: 
DS1: Statistics of Income: Corporate Source Book, 1976
description: Corporate income tax returns for 1972.
description: Since this file represents a sample of all returns and
 the data elements in the records represent averages for that industry
 and asset size class, users doing research based upon these records
 should review the IRS materials pertaining to the sampling
 variability, which are published annually in STATISTICS OF INCOME:
CORPORATE SOURCE BOOK.