cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr35559
title: Afrobarometer Round 5: The Quality of Democracy and Governance in Namibia, 2012
title: Archival Version

description: The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economic, civil society, and related issues. The data is collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identity, and social capital. In addition, Round 5 surveys included special modules on taxation; gender issues; crime, conflict and insecurity; globalization; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 5 surveys were implemented in 35 countries. This particular data collection was concerned with the attitudes and opinions of the citizens of Namibia, and also includes a number of "country-specific questions" designed specifically for the Namibia survey.
description: The data are not weighted. However, this collection includes the weight variable WITHINWT that should be used in any analysis. This weight was created to account for individual selection probabilities.
description: Response Rates: 74.3 percent
description: The Afrobarometer uses a clustered, stratified, multi-stage, area probability sample design. The sample is designed as a representative cross-section of all citizens of voting age in a given country. The goal is to give every adult citizen an equal and known chance of selection for interview. This objective is reached by (a) strictly applying random selection methods at every stage of sampling and by (b) applying sampling with probability proportionate to population size wherever possible. A randomly selected sample of 1,200 cases allows inferences to national adult populations with a margin of sampling error of no more than plus or minus 3 percent with a confidence level of 95 percent. If the sample size is increased to 2,400, the confidence interval shrinks to plus or minus 2 percent.
description: Datasets: 
DS1: Afrobarometer Round 5: The Quality of Democracy and Governance in Namibia, 2012
description: Citizens of Namibia aged 18 years or older. Smallest Geographic Unit: Region
description: face-to-face interview; paper and pencil interview (PAPI)Additional information about the Afrobarometer Survey can be found at the Afrobarometer Web site.
DOI: 10.15468/dl.qpn9ne
title: Occurrence Download

description: A dataset containing 163199 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plant Specimen in Yunnan, China from Herbarium (PE),Institute of Botany, Chinese Academy of Sciences"
 ]
}

 The dataset includes 163199 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011965-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15178933
title: STEM-EDS data for all individual particles and the TEM sample average and Data used in figures

description: This dataset includes STEM-EDS data for all individual particles and the TEM sample average and data used to generate the figures used in Adachi et al.
DOI: 10.5281/zenodo.15178934
title: STEM-EDS data for all individual particles and the TEM sample average and Data used in figures

description: This dataset includes STEM-EDS data for all individual particles and the TEM sample average and data used to generate the figures used in Adachi et al.
DOI: 10.3886/icpsr34603.v2
title: National Incident-Based Reporting System, 2011: Extract Files
title: Version 2

description: The National Incident-Based Reporting System (NIBRS) is a
part of the Uniform Crime Reporting Program (UCR), administered by the
Federal Bureau of Investigation (FBI). The extract files version of
NIBRS was created to simplify working with NIBRS data. Data management
issues with NIBRS are significant, especially when two or more segment
levels are being merged. These issues require skills separate from
data analysis. NIBRS data as formatted by the FBI are stored in a
single file. These data are organized by various segment levels
(record types). There are six main segment levels: administrative,
offense, property, victim, offender, and arrestee. Each segment level
has a different length and layout. There are other segment levels that
occur with less frequency than the six main levels. Significant
computing resources are necessary to work with the data in its
single-file format. In addition, the user must be sophisticated in
working with data in complex file types. For these reasons and the
desire to facilitate the use of NIBRS data, ICPSR created the extract
files. The data are not a representative sample of crime in the United
States.
description: Datasets: 
DS0: Study-Level Files
DS1: Incident-Level File
DS2: Victim-Level File
DS3: Offender-Level File
DS4: Arrestee-Level File
description: Law enforcement agencies in the United States
participating in the National Incident-Based Reporting System. Smallest Geographic Unit: city
description: record abstracts
DOI: 10.15468/dl.qbv49p
title: Occurrence Download

description: A dataset containing 97838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Carex nigra (L.) Reichard",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 97838 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011966-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15179013
title: Singapore Bunker Fuel Market 2025 To 2034

description: Singapore Bunker Fuel Market Size, Trends and Insights By Type (High sulfur fuel oil (HSFO), Low sulfur fuel oil (LSFO), Marine gasoil (MGO), Others), By Application (Container, Bulk Carrier, Oil Tanker, General Cargo, Chemical Tanker, Fishing Vessels, Gas Tanker, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

The Singapore Bunker Fuel Market was valued at USD 58.23 million tonnes in 2025 and is expected to reach USD 94.23 million tonnes by 2034, at a CAGR of 5.85% during the forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68561
DOI: 10.5281/zenodo.15179014
title: Singapore Bunker Fuel Market 2025 To 2034

description: Singapore Bunker Fuel Market Size, Trends and Insights By Type (High sulfur fuel oil (HSFO), Low sulfur fuel oil (LSFO), Marine gasoil (MGO), Others), By Application (Container, Bulk Carrier, Oil Tanker, General Cargo, Chemical Tanker, Fishing Vessels, Gas Tanker, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

The Singapore Bunker Fuel Market was valued at USD 58.23 million tonnes in 2025 and is expected to reach USD 94.23 million tonnes by 2034, at a CAGR of 5.85% during the forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68561
DOI: 10.5281/zenodo.15117283
title: Sampled structural ensembles of tp-CP12 by restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data

description: Sampled structural ensembles of tp-CP12 homodimer by 1.5 ns restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data.  A README file with the contents of the dataset is included.
DOI: 10.5281/zenodo.15171515
title: Sampled structural ensembles of tp-CP12 by restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data

description: Sampled structural ensembles of tp-CP12 homodimer by 1.5 ns restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data.  A README file with the contents of the dataset is included.
DOI: 10.5281/zenodo.15171874
title: Sampled structural ensembles of tp-CP12 by restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data

description: Sampled structural ensembles of tp-CP12 homodimer by 1.5 ns restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data.  A README file with the contents of the dataset is included.
DOI: 10.5281/zenodo.15178979
title: Sampled structural ensembles of tp-CP12 by restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data

description: Sampled structural ensembles of tp-CP12 homodimer by 1.5 ns restrained-ensemble MD simulations that fit with both SAXS and SDSL-EPR experimental data.  A README file with the contents of the dataset is included.
DOI: 10.22002/vx7h3-n6p83
title: NRIXS spectra of 57Fe68Pd32

description:  As-measured phonon spectra of Fe68Pd32 via NRIXS.
DOI: 10.15156/bio/sh1083586.10fu
title: SH1083586.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1083590.10fu
title: SH1083590.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.d5e64m
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Lactuca serriola"
 ]
}

 The dataset includes 167 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002478-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1083603.10fu
title: SH1083603.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1083605.10fu
title: SH1083605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1083610.10fu
title: SH1083610.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1083611.10fu
title: SH1083611.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1083619.10fu
title: SH1083619.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.t4zt9e
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Limnophila erecta Benth."
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004325-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28573763
title: Dahu Lake paleoclimate data

description: The <b>Dahu_Lake_data.xlsx</b> contains three sheets: <b>Organic, Geochemical,</b> <b>Diatom</b>, and <b>14C</b>.The <b>Organic</b> sheet includes carbon and nitrogen contents, elemental ratios, and the carbon isotopic composition of organic matter in core sediments from Dahu Lake, northern Taiwan. These proxies were used to infer changes in organic matter sources, which provided insights into runoff conditions and helped identify typhoon events in the region.The <b>Geochemical</b> sheet contains the concentrations of leached elements (K, Mn, Na, Sr, Ti, Al, Fe) and K/Na ratios in core sediments. This data helped track changes in the intensity of chemical weathering in the region, supporting the interpretations derived from the organic data.The <b>Diatom</b> sheet presents the abundances of diatoms categorised by their preferred habitats, including <b>planktonic, benthic,</b> and <b>epiphytic</b> species, along with their total concentrations in the core sediments.The <b>14C </b>sheet contains the radiocarbon ages of the samples at different depths using different materials.<b>Abstract of the Manuscript</b>To enhance the understanding of the Holocene climate in northern Taiwan, where early to mid-Holocene paleoclimate data is sparse, a study was designed to collect a lake core from Dahu Lake in the Ilan Plain, located in the northeastern part of Taiwan. To investigate the climate, a multiproxy approach was employed, examining geochemical elements, diatoms, total organic carbon (TOC), total nitrogen (TN), their ratios (TOC/TN), and carbon isotopic compositions (δ¹³Corg). Diatom data indicated that the area primarily functioned as a riverine system, with occasional time frames of lake level situations during 6.6, 5.0, 3.7, 2.1, 1.0, and 0.4–0.2 cal kyr BP. The multiproxy analysis, which included TOC, TN, TOC/TN, and δ¹³C<sub>org</sub>, suggested substantial terrestrial input. Elevated levels of Ti and the presence of illite pointed to sporadic overflow from the Lanyang River. Additionally, high K/Na ratios indicated intense chemical weathering. These combined findings implied increased typhoon activity during the periods 7.7–4.9, 3.8–3.6, 3.3–2.8, 2.2–2.0, 1.2, 1.0, and 0.5–0.2 cal kyr BP. In contrast, the periods between these frequent typhoons or wetter climate events were relatively drier, as evidenced by sediments that primarily originated from the Ilan River. The typhoon activities were a response to a strong EASM and La Niña-like conditions in the Pacific Ocean. In contrast, the drier periods were characterized by strong EAWM and El Niño-like conditions in the region.<br>
DOI: 10.15468/dl.38hk84
title: Occurrence Download

description: A dataset containing 1358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Capreolus capreolus (Linnaeus, 1758)",
 "Year 2024-2025"
 ]
}

 The dataset includes 1358 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004331-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkeh6r
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus castroviejoi Palacios, 1977",
 "Year 2000-2025"
 ]
}

 The dataset includes 176 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004329-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71796/wits-figshare.27923643
title: Scoping review on living conditions in Johannesburg, South Africa during apartheid regime

description: This dataset is a collation of articles written by different authors on the history of South Africa during the apartheid regime (1948 to 1994). Apartheid in South Africa was the racial segregation under the all-white government of South Africa which dictated that non-white South Africans (a majority of the population) were required to live in separate areas from whites and use separate public facilities and contact between the two groups would be limited. The different racial group were physically separated according to their location, public facilities and social life.
DOI: 10.71796/wits-figshare.27923643.v1
title: Scoping review on living conditions in Johannesburg, South Africa during apartheid regime

description: This dataset is a collation of articles written by different authors on the history of South Africa during the apartheid regime (1948 to 1994). Apartheid in South Africa was the racial segregation under the all-white government of South Africa which dictated that non-white South Africans (a majority of the population) were required to live in separate areas from whites and use separate public facilities and contact between the two groups would be limited. The different racial group were physically separated according to their location, public facilities and social life.