cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ol399p
title: Replication Data for: Trends and intensity of human rhinovirus invasions in local populations, a longitudinal analysis from Kilifi, Kenya, 2007-2018

description: &lt;p&gt;This is a replication dataset for the manuscript titled: "&lt;a href=""&gt;Trends and intensity of human rhinovirus invasions in local populations, a longitudinal analysis from Kilifi, Kenya, 2007-2018&lt;/a&gt;."&lt;/p&gt;

&lt;p&gt;This study is part of a longitudinal surveillance study established to understand the epidemiology and disease burden of HRV associated pneumonia admissions to Kilifi County Hospital (KCH).It contains month and year of sample collection, Eligibles (Under fives with severe or very severe pneumonia),sample tested, sample positives for respiratory viruses, and HRV types detected. &lt;/p&gt;
description: <strong>Notes on running code</strong> <br>
Data analysis R code and python script is as provided below; <br>

HRV_monthly_distribution.do- Monthly distribution of human rhinovirus cases identified from surveillance of acute respiratory infections (ARI) in patients under 5 years old admitted to the Kilifi County Hospital, Kenya, 2007–2018. 
Figure2.R-This r code display Annual proportion of HRV species across the 12-years period. 
Rplots_figure3-Quarterly proportions of HRV types detected organised at the species level. 
HiLiter_figure_4.py-It displays nucleotides differences between sequences of the same HRV type. 
Pairwise_snps_Figure4-This shows the distribution plot of pairwise nucleotide differences between sequences of the same HRV type. This code is used to run multiple datasets i.e. RV-A12, RV-A49, RV-A78, RV-A101; RV-C2, RV-C3, RV-C6, RV-C11, RV-C21, RV-C38.
DOI: 10.7910/dvn/oqiprw
title: AReNA’s DHS-GIS Database

description: Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between nutrition and agriculture, with a particular focus on conducting policy-relevant research at scale and crowding in more research on this issue by creating data sets and analytical tools that can benefit the broader research community. Much of the research on agriculture and nutrition is hindered by a lack of data, and many of the datasets that do contain both agriculture and nutrition information are often small in size and geographic scope. AReNA team constructed a large multi-level, multi-country dataset combining nutrition and nutrition-relevant information at the individual and household level from the Demographic and Health Surveys (DHS) with a wide variety of geo-referenced data on agricultural production, agroecology, climate, demography, and infrastructure (GIS data).&lt;/p&gt;
This dataset includes 60 countries, 184 DHS, and 122,473 clusters. Over one thousand geospatial variables are linked with DHS. The entire dataset is organized into 13 individual files: DHS_distance, DHS_livestock, DHS_main, DHS_malaria, DHS NDVI, DHS_nightlight, DHS_pasture and climate (mean), DHS_rainfall, DHS_soil, DHS_SPAM, DHS_suit, DHS_temperature, and DHS_traveltime.
description: STATA, 15
description: Geospatial Data
DOI: 10.7910/dvn/oqlee7
title: A Ticking Time Bomb: Restrictions on Abortion Rights and Physical Integrity Rights Abuses

description: Do abortion restrictions augur broader crackdowns on human rights? We examine the relationship between restrictions on abortion and future Physical Integrity Rights (PIR) abuses. We argue that abortion restrictions both directly and indirectly influence PIR. Directly, abortion restrictions serve as a testing ground for repressive policies and behaviors. Indirectly, restrictions worsen inequality across segments of society and winnow support for social and religious diversity. When abortion restrictions are enacted, regimes are better equipped to shift society and consolidate power, as a subdued public is discouraged from voicing collective grievances. Using a variety of time-series cross-sectional approaches, we show that significant retractions in abortion access foretell erosion of PIR.
DOI: 10.7910/dvn/yptc0h
title: Career Motivation and Achievement Planning, 1980-1993

description: The purpose of this study was to examine the career motivation patterns of both men and women, particularly in reference to why some individuals are able to follow through on their aspirations of breaking into science and technology careers, while others are not.
&lt;br /&gt;&lt;br /&gt; The data consist of a qualitative subsample of larger longitudinal study that looked more generally at the career motivations of a diverse group of high school students. The first wave of the larger study was carried out in 1980, while the participants were 9th and 12th grade students at six Midwestern high schools. Two schools were from urban districts, two from rural districts, and two were suburban. Questionnaires on a variety of motivational issues related to both personality
and environment were sent to the students. Students returning questionnaires numbered 2,082, and after cases were dropped due to missing data, 1,863 participants were retained. In 1990, a second round of questionnaires were sent to the participants, with 459 returning usable data.
&lt;br /&gt;&lt;br /&gt; Of the 459 participants in the second phase of the study, 173 had originally expressed aspirations for science or technology fields in 1980. To better understand the pathways that lead to "persistence" in science careers, a selection of 97 of these participants was combined with 6 participants who held science jobs without previously demonstrating scientific aspirations and 7 participants from other occupational fields, for a total of 105 participants. This final sample for the qualitative wave of the study is 54% women, 21% minority, and 14% immigrant.
&lt;br /&gt;&lt;br /&gt; The participants were interviewed two times in person between spring 1991 and summer 1993 by trained graduate students. All of the participants had previously agreed to be interviewed in the second wave of the study. The major themes of these semi-structured interviews include: family, parents, education, counseling, work/home, self, decisions, motivations, significant others, role models, transitions, worldview, experiences, obstacles, and critical events. The interviews were audiotaped and later transcribed, summarized, and coded using Hyperqual for Macintosh.
&lt;br /&gt;&lt;br /&gt; The Murray Research Archive holds interview transcripts for 105 participants in electronic text file format (.txt), 105 interview summaries on paper, and Hyperqual coding files for each of the 105 participants &lt;b&gt;(paper data have been digitized and are available for on-line access).&lt;/b&gt; Follow-up is possible with the consent of the contributor.
DOI: 10.7910/dvn/anpi17
title: Replication Data for: Monitoring Technologies, Environmental Performance and Health Outcomes: Evidence from China

description: Replication Data for: Monitoring Technologies, Environmental Performance and Health Outcomes: Evidence from China
DOI: 10.7910/dvn/cyylok
title: Replication Data for: Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS

description: This website contains county-level data of the 2016 US presidential election and code to reproduce all figures, tables, and graphs found in "Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS" (including appendices). bigKRLS is available on CRAN and the code assume version 3.0.0.
description: Volume #, Issue #
description: See readme.txt for file description.
DOI: 10.7910/dvn/hlgnyn
title: Field Data

description: Experimental results
DOI: 10.7910/dvn/jpd6rt
title: Wright Casebook Edited; Docketed Case: 17,684
DOI: 10.7910/dvn/nci9rm
title: Replication Data for: James/Petrovsky/Moseley/Boyne (2016 BJPolS): The Politics of Agency Death: Ministers and the Survival of Government Agencies in a Parliamentary System

description: Data and code for: James, Oliver, Nicolai Petrovsky, Alice Moseley, and George A. Boyne. 2016. "The Politics of Agency Death: Ministers and the Survival of Government Agencies in a Parliamentary System." British Journal of Political Science 46 (4): 763-784.
DOI: 10.34740/kaggle/dsv/12011817
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.5gggra
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-9.5482 4.7175,-9.0352 4.4397,-9.0352 10.8496,-16.709 10.8496,-16.3297 10.5455,-15.1301 10.2973,-14.7679 9.8172,-14.3248 9.5834,-14.2456 9.1632,-13.8032 8.9309,-13.7341 8.0101,-13.3252 7.2036,-11.9532 6.6399,-11.0468 5.863,-10.545 5.6439,-9.5482 4.7175))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010459-250525065834625/datasets/export for details.
DOI: 10.15468/dl.s3t9nc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Winteria telescopa Brauer, 1901",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((17.9648 19.8496,8.9648 19.8496,8.9648 10.8496,17.9648 10.8496,17.9648 19.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010097-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28783964
title: Paper 3 data and code

description: Not available
DOI: 10.6084/m9.figshare.28783964.v4
title: Paper 3 data and code

description: Not available
DOI: 10.6084/m9.figshare.28783964.v5
title: Paper 3 data and code

description: Not available
DOI: 10.5281/zenodo.18378787
title: Data Set of the Manuscript Titled "Pancasila Villages as a Living Laboratory: A Social Relations Model for Plural Society Resilience Amidst the Global Rise of Populism "

description: This dataset supports the manuscript entitled “Pancasila Villages as a Living Laboratory: A Social Relations Model for Plural Society Resilience Amidst the Global Rise of Populism.”

The dataset contains qualitative research materials and conceptual figures used to develop and explain the proposed social relations model at the village level. The data were collected and produced as part of an in-depth study of plural community resilience grounded in everyday social practices within Pancasila Villages.

The dataset consists of the following files:





Interview Results in Pancasila Village (PDF)




Figure 1. Plural Community Social Relations Model Based on Local Social Practices (TIFF)




Figure 2. Conceptual Model of Social Relations in Plural Communities Based on Village-Level Practices (TIFF)



Overall, this dataset is intended to enhance transparency, replicability, and theoretical clarity by providing empirical and conceptual materials underlying the manuscript’s analysis of practice-based pluralism and community resilience.
DOI: 10.5281/zenodo.18378786
title: Data Set of the Manuscript Titled "Pancasila Villages as a Living Laboratory: A Social Relations Model for Plural Society Resilience Amidst the Global Rise of Populism "

description: This dataset supports the manuscript entitled “Pancasila Villages as a Living Laboratory: A Social Relations Model for Plural Society Resilience Amidst the Global Rise of Populism.”

The dataset contains qualitative research materials and conceptual figures used to develop and explain the proposed social relations model at the village level. The data were collected and produced as part of an in-depth study of plural community resilience grounded in everyday social practices within Pancasila Villages.

The dataset consists of the following files:





Interview Results in Pancasila Village (PDF)




Figure 1. Plural Community Social Relations Model Based on Local Social Practices (TIFF)




Figure 2. Conceptual Model of Social Relations in Plural Communities Based on Village-Level Practices (TIFF)



Overall, this dataset is intended to enhance transparency, replicability, and theoretical clarity by providing empirical and conceptual materials underlying the manuscript’s analysis of practice-based pluralism and community resilience.
DOI: 10.25934/pr00012473.0
title: Available datapackage for study 'NJ HEROES TOO (New Jersey Healthcare Essential Worker Outreach and Education Study - Testing Overlooked Occupations)'

description: This mixed methods study evaluates the effectiveness and cost of a healthcare worker focused outreach intervention strategy versus community organization led outreach to explore contextual factors (individual, family, and community) affecting COVID-19 testing implementation outcomes and scalability.
DOI: 10.15468/dl.bssjt8
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.80825 6.48021,-71.84697 6.43363,-71.8506 6.38039,-71.81248 6.3332,-71.68665 6.29267,-71.61043 6.31989,-71.62071 6.48686,-71.71146 6.54857,-71.80825 6.48021))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anura"
 ]
}

 The dataset includes 52 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000248-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18344116
title: Brahim's Laws for Wormhole Traversability
DOI: 10.5281/zenodo.18379401
title: INFLUENCE OF ECOLOGICAL AND IN VITRO FACTORS ON SECONDARY METABOLITE PRODUCTION IN FERULA SUMBUL AND FERULA TADSHIKORUM

description: Medicinal plants remain an essential source of biologically active compounds widely used in traditional and modern medicine. According to the World Health Organization, more than 80% of the global population relies partially on plant-based medicines for primary healthcare. Among medicinal plant families, the Apiaceae (Umbelliferae) family is of particular interest due to its rich diversity of secondary metabolites, including terpenoids, coumarins, and essential oils, which exhibit a wide range of pharmacological activities.The genus Ferula L. comprises more than 180 species distributed mainly in Central Asia, the Middle East, and the Mediterranean region. Numerous Ferula species have long been used in traditional medicine for the treatment of nervous disorders, digestive problems, inflammatory diseases, and infectious conditions. Phytochemical investigations have revealed that Ferula species are rich in sesquiterpene coumarins, sulfur-containing compounds, resinous substances, and volatile oils, which are responsible for their biological activities.
DOI: 10.5281/zenodo.18379402
title: INFLUENCE OF ECOLOGICAL AND IN VITRO FACTORS ON SECONDARY METABOLITE PRODUCTION IN FERULA SUMBUL AND FERULA TADSHIKORUM

description: Medicinal plants remain an essential source of biologically active compounds widely used in traditional and modern medicine. According to the World Health Organization, more than 80% of the global population relies partially on plant-based medicines for primary healthcare. Among medicinal plant families, the Apiaceae (Umbelliferae) family is of particular interest due to its rich diversity of secondary metabolites, including terpenoids, coumarins, and essential oils, which exhibit a wide range of pharmacological activities.The genus Ferula L. comprises more than 180 species distributed mainly in Central Asia, the Middle East, and the Mediterranean region. Numerous Ferula species have long been used in traditional medicine for the treatment of nervous disorders, digestive problems, inflammatory diseases, and infectious conditions. Phytochemical investigations have revealed that Ferula species are rich in sesquiterpene coumarins, sulfur-containing compounds, resinous substances, and volatile oils, which are responsible for their biological activities.
DOI: 10.5281/zenodo.18377760
title: FIDA dataset on the theatrical demand for European films

description: This dataset is associated with the CresCine (https://www.crescine.eu/) dashboard, which provides an overview of film demand in cinemas across Europe. The dashboard uses aggregated data from CresCine’s Film Industry Data Repository (FIDA). Any user of the data will have to, in any related publication, refer to the paper explaining the database that can be found here: https://zenodo.org/records/17829236 

The data for this dashboard are derived from Lumiere Pro, Wikidata, the World Bank, and TMDB and cover the years 2013-2024. The dashboard supports comparative analysis across markets and their groups. 

Explanation on acronyms used in the dashboard: EU Big 5 are Spain, Italy, Germany, France and Poland; EU Small Countries are all the rest of the EU countries; CoE Small Countries are the rest of European small countries that are the members of the Council of Europe; Turkey, UK and Ukraine form a separate group as they are the large countries next to the EU; “International” refers to all other countries. 

The overall aim of this dashboard is to provide an accessible analytical tool for researchers, policymakers, sales agents, and cultural institutions seeking to understand the reach and mobility of European film in VOD services. By doing so, it also showcases the analytical possibilities offered by the information compiled in FIDA, which can be employed to create custom visualisations to study trends and opportunities in digital distribution, facilitate evidence-based distribution planning, and create policies and schemes that promote the visibility of underrepresented national cinemas across streaming services.
DOI: 10.5281/zenodo.18377761
title: FIDA dataset on the theatrical demand for European films

description: This dataset is associated with the CresCine (https://www.crescine.eu/) dashboard, which provides an overview of film demand in cinemas across Europe. The dashboard uses aggregated data from CresCine’s Film Industry Data Repository (FIDA). Any user of the data will have to, in any related publication, refer to the paper explaining the database that can be found here: https://zenodo.org/records/17829236 

The data for this dashboard are derived from Lumiere Pro, Wikidata, the World Bank, and TMDB and cover the years 2013-2024. The dashboard supports comparative analysis across markets and their groups. 

Explanation on acronyms used in the dashboard: EU Big 5 are Spain, Italy, Germany, France and Poland; EU Small Countries are all the rest of the EU countries; CoE Small Countries are the rest of European small countries that are the members of the Council of Europe; Turkey, UK and Ukraine form a separate group as they are the large countries next to the EU; “International” refers to all other countries. 

The overall aim of this dashboard is to provide an accessible analytical tool for researchers, policymakers, sales agents, and cultural institutions seeking to understand the reach and mobility of European film in VOD services. By doing so, it also showcases the analytical possibilities offered by the information compiled in FIDA, which can be employed to create custom visualisations to study trends and opportunities in digital distribution, facilitate evidence-based distribution planning, and create policies and schemes that promote the visibility of underrepresented national cinemas across streaming services.
DOI: 10.25345/c5jd4q324
title: MassIVE MSV000100588 - A non-canonical histidine kinase (Rv1127c, VadK) from Mycobacterium tuberculosis.
title: Data to show that Rv1127c (VadK) is phosphorylated and data to show the histidine residue that is phosphorylated using both mutagenesis and peptide sequencing.
DOI: 10.15468/dl.spdtwk
title: Occurrence Download

description: A dataset containing 104565 records in GBIF matching the query:
SELECT
 '404' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 37.42857426825602
 AND decimalLatitude &lt;= 41.89415215079384
 AND decimalLongitude &gt;= -5.99407475236253
 AND decimalLongitude &lt;= 0.0
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 104565 records were derived from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000241-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/asdc/suborbital/solve1_aircraftremotesensing_dc8_hsrl_data_1
title: SOLVE I DC-8 Aircraft High Spectral Resolution Lidar (HSRL) Data
DOI: 10.5067/asdc/suborbital/solve1_aircraftremotesensing_dc8_lase_data_1
title: SOLVE I DC-8 Aircraft Remotely Sensed Lidar Atmospheric Sensing Experiment (LASE) Data
DOI: 10.5067/asdc/suborbital/solve1_aircraftremotesensing_dc8_lidar_data_1
title: SOLVE I DC-8 Aircraft Remotely Sensed Lidar Data
DOI: 10.5067/asdc/suborbital/solve1_analysis_dc8_data_1
title: SOLVE I DC-8 Analysis Model Data
DOI: 10.5067/asdc/suborbital/solve1_analysis_er2_data_1
title: SOLVE I ER-2 Analysis Model Data
DOI: 10.5067/asdc/suborbital/solve1_ground_data_1
title: SOLVE I Ground Site Data
DOI: 10.5067/asdc/suborbital/solve1_jvalue_aircraftinsitu_dc8_data_1
title: SOLVE I DC-8 Aircraft In-situ Photolysis Rate Data
DOI: 10.5067/asdc/suborbital/solve1_jvalue_aircraftinsitu_er2_data_1
title: SOLVE I ER-2 Aircraft In-situ Photolysis Rate Data
DOI: 10.5067/asdc/suborbital/solve1_aerosol_aircraftinsitu_dc8_data_1
title: SOLVE I DC-8 Aircraft In-situ Aerosol Data
DOI: 10.5067/asdc/suborbital/solve1_aerosol_aircraftinsitu_er2_data_1
title: SOLVE I ER-2 Aircraft In-situ Aerosol Data
DOI: 10.5067/asdc/suborbital/solve1_metnav_aircraftinsitu_dc8_data_1
title: SOLVE I DC-8 Aircraft In-situ Meteorology and Navigational Data
DOI: 10.5067/asdc/suborbital/solve1_miscellaneous_er2_data_1
title: SOLVE I Miscellaneous ER-2 Aircraft Data
DOI: 10.5067/asdc/suborbital/solve1_satellite_data_1
title: SOLVE I Supplementary Satellite Data Products
DOI: 10.5067/asdc/suborbital/solve1_sondes_data_1
title: SOLVE I Balloonsondes and Ozonesondes Data
DOI: 10.5067/asdc/suborbital/solve1_tracegas_aircraftinsitu_dc8_data_1
title: SOLVE I DC-8 Aircraft In-situ Trace Gas Data
DOI: 10.5067/asdc/suborbital/solve1_tracegas_aircraftinsitu_er2_data_1
title: SOLVE I ER-2 Aircraft In-situ Trace Gas Data
DOI: 10.5067/asdc/suborbital/solve1_tracegas_aircraftremotesensing_dc8_data_1
title: SOLVE I DC-8 Aircraft Remotely Sensed Trace Gas Data
DOI: 10.5067/asdc/suborbital/solve2_aerosol_aircraftinsitu_dc8_data_1
title: SOLVE II DC-8 Aircraft In-situ Aerosol Data
DOI: 10.5067/asdc/suborbital/solve2_aircraftremotesensing_dc8_aats14_data_1
title: SOLVE II DC-8 Aircraft AATS14 Data
DOI: 10.5067/asdc/suborbital/solve1_metnav_aircraftinsitu_er2_data_1
title: SOLVE I ER-2 Aircraft In-situ Meteorology and Navigational Data
DOI: 10.5067/asdc/suborbital/solve1_miscellaneous_dc8_data_1
title: SOLVE I Miscellaneous DC-8 Aircraft Data
DOI: 10.5067/asdc/suborbital/solve2_analysis_dc8_data_1
title: SOLVE II DC-8 Analysis Model Data