cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7764025
title: OpenITI: a Machine-Readable Corpus of Islamicate Texts; Primary Version

description: This is a partial release of the data in the OpenITI corpus. Whereas the main release of the corpus often contains multiple digital versions of the same text, this release contains a single digital version for each text in the corpus (the version marked as "primary" (PRI) in the corpus metadata).

The version numbers corresponds to the versions of the main releases.
DOI: 10.15468/dl.kk5f5w
title: Occurrence Download

description: A dataset containing 8137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hymenaea courbaril",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 8137 records from 391 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010975-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-6702-46
title: Monthly Wages and Salaries Survey, 2000-2025: Secure Access
title: MWSS

description: &lt;p&gt;The &lt;i&gt;Monthly Wages and Salaries Survey&lt;/i&gt; (MWSS) is the main source of information for three key indicators of Short-Term Earnings generated by the Office for National Statistics: the Average Earnings Index, the Average Weekly Earnings and the Index of Labour Costs per Hour.&lt;br&gt;
&lt;br&gt;The MWSS is distributed monthly to approximately 8,800 businesses and covers around 12.8 million employees. Companies are required to respond under the Statistics of Trade Act 1947. Businesses are selected from the Inter-Departmental Business Register. Every company with more than 1,000 employees is surveyed. Sampling is random for businesses with fewer than 1,000 employees. The MWSS does not cover businesses with fewer than 20 employees, and so the very smallest businesses in the economy are not represented. The self-employed and government-supported trainees are also not surveyed.&lt;br&gt;
&lt;br&gt;The major strength of the MWSS is that it provides comprehensive information on earnings, by industry. In terms of industrial coverage, information on all industries is collected, as defined by the Standard Industrial Classifications (1992). Information on both the public and private sectors is available.&lt;br&gt;
&lt;br&gt;
&lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt;These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;br&gt;&lt;/span&gt;For the forty-sixth edition (February 2026), one monthly data file for August 2025 has been added to the study.&lt;/p&gt;
DOI: 10.34894/eysc3v
title: 25.143 Rijswijk - Hofstede

description: Bij archeologisch onderzoek op het plangebied “Hofstede” in Rijswijk zijn enkele houten vondsten geborgen en aangeboden voor dendrochronologisch onderzoek.
Het gaat om vier monsters zijn afkomstig van planken en een paal. Hiervoor is eik (Quercus spp.) en grove den (Pinus sylvestris L.) gebruikt.
Eén monster (vondstnr. 279) kon aangemerkt worden voor dendrochronologisch onderzoek. Hiervan kan de laatste jaarring in 1725 gedateerd worden. De wankant is niet aanwezig, waardoor alleen bepaald kan worden dat het hout ergens na 1725 gekapt is.
DOI: 10.15468/dl.xefpz4
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetostoma trimaculineum",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010976-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kgntw
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mussaenda sanderiana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 42 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010977-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2td6mu
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripladenia cunninghamii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 225 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010978-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14816512
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5519/qd.7w1ib4h6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.17632/pcxs747x88
title: Dysfunctional parent modes and self-compassion

description: Datafile is in SPSS format. Participants are 384 undergraduate college students in New York City. Includes demographics. Includes item scores and total scale scores of variables measuring Dysfunctional Parent Modes (Demanding and Punitive), Self-compassion, Emotional Distress, Subjective Well-being, Social Support, and Dysfunctional Attitudes. Measures. Dysfunctional parent modes assessed using the 17 item punitive and demanding parent subscale of the Schema Mode Inventory Short Form (SMI; Lobbestael et al., 2010). Response options range from 1 (never) to 6 (always). Dysfunctional parent mode scores were calculated by summing all 17 items. Higher scores indicate higher levels of dysfunctional punitive and demanding parent modes. Self-compassion was measured with the 12-item Self-Compassion Scale–Short Form (SCS-SF; Raes et al., 2011), that assesses how compassionate people are toward themselves regarding their imperfections. Item response options range from 0 (almost never) to 5 (almost always). Scores are calculated by adding together all item responses. Higher scores represent higher levels of self-compassion. The Multidimensional Scale of Perceived Social Support (MSPSS; Zimet, Dahlem, Zimet, & Farley, 1988) is a 12-item scale measuring perception of the availability and adequacy of support from family, friends, and significant others. Item response options range from 1 (very strongly disagree) to 7 (very strongly agree). Scores are calculated by summing all 12 items. Higher scores represent higher perceived social support. Dysfunctional attitudes were assessed with the 9-item Dysfunctional Attitude Scale-Short Form-1 (DAS-SF1; Beevers et al., 2007), which measures maladaptive beliefs and attitudes about perfectionism, need for approval, and life imperatives. Item response options range from 1 (totally disagree) to 4 (totally agree). Scores are calculated by summing responses to all items, and higher scores represent higher levels of dysfunctional attitudes. The 16-item College Student Subjective Well-Being Questionnaire (CSSWQ; Renshaw, 2018) was used to assess subjective well-being. Item response options range from 1 (strongly disagree) to 7 (strongly agree). Scores are calculated by summing responses to all items. Higher scores reflect higher subjective well-being. Emotional distress was measured with the 8-item Patient-Reported Outcomes Measurement Information System Emotional Distress Scale - Depression Short Form (PROMIS-EDS; Schalet et al., 2016). Items inquire about worthlessness, helplessness, sadness, and hopelessness. Item response options range from 1 (never) to 5 (always). Scores are calculated by summing responses to all items. Higher scores reflect greater levels of depressive-like emotional distress. This data also contains participants responses to the TIPI personality scale. Clinical history and parent clinical history is included. Reported history of ACEs and Trauma. If you have questions please contact mcdermuw@stjohns.edu.
DOI: 10.17632/pcxs747x88.1
title: Dysfunctional parent modes and self-compassion

description: Datafile is in SPSS format. Participants are 384 undergraduate college students in New York City. Includes demographics. Includes item scores and total scale scores of variables measuring Dysfunctional Parent Modes (Demanding and Punitive), Self-compassion, Emotional Distress, Subjective Well-being, Social Support, and Dysfunctional Attitudes. Measures. Dysfunctional parent modes assessed using the 17 item punitive and demanding parent subscale of the Schema Mode Inventory Short Form (SMI; Lobbestael et al., 2010). Response options range from 1 (never) to 6 (always). Dysfunctional parent mode scores were calculated by summing all 17 items. Higher scores indicate higher levels of dysfunctional punitive and demanding parent modes. Self-compassion was measured with the 12-item Self-Compassion Scale–Short Form (SCS-SF; Raes et al., 2011), that assesses how compassionate people are toward themselves regarding their imperfections. Item response options range from 0 (almost never) to 5 (almost always). Scores are calculated by adding together all item responses. Higher scores represent higher levels of self-compassion. The Multidimensional Scale of Perceived Social Support (MSPSS; Zimet, Dahlem, Zimet, & Farley, 1988) is a 12-item scale measuring perception of the availability and adequacy of support from family, friends, and significant others. Item response options range from 1 (very strongly disagree) to 7 (very strongly agree). Scores are calculated by summing all 12 items. Higher scores represent higher perceived social support. Dysfunctional attitudes were assessed with the 9-item Dysfunctional Attitude Scale-Short Form-1 (DAS-SF1; Beevers et al., 2007), which measures maladaptive beliefs and attitudes about perfectionism, need for approval, and life imperatives. Item response options range from 1 (totally disagree) to 4 (totally agree). Scores are calculated by summing responses to all items, and higher scores represent higher levels of dysfunctional attitudes. The 16-item College Student Subjective Well-Being Questionnaire (CSSWQ; Renshaw, 2018) was used to assess subjective well-being. Item response options range from 1 (strongly disagree) to 7 (strongly agree). Scores are calculated by summing responses to all items. Higher scores reflect higher subjective well-being. Emotional distress was measured with the 8-item Patient-Reported Outcomes Measurement Information System Emotional Distress Scale - Depression Short Form (PROMIS-EDS; Schalet et al., 2016). Items inquire about worthlessness, helplessness, sadness, and hopelessness. Item response options range from 1 (never) to 5 (always). Scores are calculated by summing responses to all items. Higher scores reflect greater levels of depressive-like emotional distress. This data also contains participants responses to the TIPI personality scale. Clinical history and parent clinical history is included. Reported history of ACEs and Trauma. If you have questions please contact mcdermuw@stjohns.edu.
DOI: 10.17632/793sbpw3tb
title: Banco de Dados - Avaliação do Sistema de Vigilância da Hanseníase no Distrito Federal, 2013 a 2022

description: Este banco de dados foi extraído do Sistema de Informação de Agravos de Notificação (SINAN) em 14 de março de 2025, para análise e escrita do artigo intitulado "Avaliação do Sistema de Vigilância da Hanseníase no Distrito Federal, 2013 a 2022", aprovado pelo Comitê de Ética em Pesquisa FEPECS. A metodologia das análises foi descrita no artigo. Através do dicionário de dados e instrutivo de preenchimento, disponibilizados pelo SINAN, é possível analisar todas as variáveis do banco de dados disponibilizado neste endereço. Por fim, as variáveis "Distrito de residência e "Distrito atual" foram obtidas após aprovação pelo Comitê de Ética em Pesquisa, visto que não está disponível ao público online. Dessa forma, não foi adicionada neste repositório por motivos éticos.
DOI: 10.15468/dl.25b5ka
title: Occurrence Download

description: A dataset containing 594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myroxylon peruiferum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 594 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010980-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/793sbpw3tb.2
title: Banco de Dados - Avaliação do Sistema de Vigilância da Hanseníase no Distrito Federal, 2013 a 2022

description: Este banco de dados foi extraído do Sistema de Informação de Agravos de Notificação (SINAN) em 14 de março de 2025, para análise e escrita do artigo intitulado "Avaliação do Sistema de Vigilância da Hanseníase no Distrito Federal, 2013 a 2022", aprovado pelo Comitê de Ética em Pesquisa FEPECS. A metodologia das análises foi descrita no artigo. Através do dicionário de dados e instrutivo de preenchimento, disponibilizados pelo SINAN, é possível analisar todas as variáveis do banco de dados disponibilizado neste endereço. Por fim, as variáveis "Distrito de residência e "Distrito atual" foram obtidas após aprovação pelo Comitê de Ética em Pesquisa, visto que não está disponível ao público online. Dessa forma, não foi adicionada neste repositório por motivos éticos.
DOI: 10.17632/pv6cfd963b
title: Factors associated with plasma immunoglobulin G and adequate transfer of passive immunity in dairy calves using different cut-offs - Raw data

description: Excel Spreadsheet of the raw data before calf exclusion.
DOI: 10.17632/pv6cfd963b.2
title: Factors associated with plasma immunoglobulin G and adequate transfer of passive immunity in dairy calves using different cut-offs - Raw data

description: Excel Spreadsheet of the raw data before calf exclusion.
DOI: 10.17632/ykxsndr53y
title: BanglaSportsEmotion: A Multi-Class Sentiment Dataset for Bangla Sports Commentary

description: BanglaSportsEmotion addresses a critical gap in Bangla natural language processing by providing the first comprehensive, multi-sport sentiment corpus specifically designed for emotion analysis in sports commentary. BanglaSportsEmotion is a manually annotated dataset containing 8,582 Bangla sports comments collected from Facebook and YouTube platforms. This dataset enables researchers to develop and benchmark sentiment analysis models for the Bangla language, particularly in the sports domain where fan emotions range from celebration to criticism.

Data Collection Sources and Scope
Data was collected from various Bangla sports-related online platforms to ensure broad coverage and diversity:
1. Sources: Publicly accessible comments collected from sports-related Facebook pages/groups and YouTube channels (examples include bdcrictime.com discussions, T Sports video comments, RabbitHoleBD sports threads).
2. Initial raw volume: ≈ 16,000 raw comments were collected prior to filtering.
3. Final released volume: 8,582 comments after deduplication, spam removal, and relevance filtering.
4. Sports Coverage: Cricket, football, volleyball, hockey, and other sports
5. Geographic Scope: Comments about Bangladeshi national teams, international teams, club football, and various sporting events
6. Time Period: Recent comments reflecting current fan discourse and language usage

Class Definitions:
i. Joy (Label 0) - Positive emotions such as happiness, excitement, celebration, or praise for a team or player
ii. Anger (Label 1) - Negative emotions directed toward one's own team, players, or performance.
iii. Support (Label 2) - Encouragement, loyalty, or backing for a team or player regardless of the outcome.
iv. Toxic (Label 3) - Harsh, offensive, or sarcastic remarks often directed at opponents or rival fans.

Key Features:
1. Fairly balanced class distribution
2. Multi-sport coverage ensuring broader generalizability
3. Clear annotation guidelines for reproducibility
4. High inter-annotator agreement
5. Captures nuanced emotions including semantic overlap between Anger and Toxic classes

Use Cases:
i. Sentiment analysis model development for Bangla
ii. Low-resource NLP research
iii. Sports analytics and fan engagement studies
iv. Benchmark evaluation for transformer and classical ML models
v. Cross-lingual sentiment analysis studies

File Format
CSV file with two columns:
- Comment text (Bangla)
- Class label (0: Joy; 1: Anger; 2: Support; 3: Toxic)
DOI: 10.17632/ykxsndr53y.2
title: BanglaSportsEmotion: A Multi-Class Sentiment Dataset for Bangla Sports Commentary

description: BanglaSportsEmotion addresses a critical gap in Bangla natural language processing by providing the first comprehensive, multi-sport sentiment corpus specifically designed for emotion analysis in sports commentary. BanglaSportsEmotion is a manually annotated dataset containing 8,582 Bangla sports comments collected from Facebook and YouTube platforms. This dataset enables researchers to develop and benchmark sentiment analysis models for the Bangla language, particularly in the sports domain where fan emotions range from celebration to criticism.

Data Collection Sources and Scope
Data was collected from various Bangla sports-related online platforms to ensure broad coverage and diversity:
1. Sources: Publicly accessible comments collected from sports-related Facebook pages/groups and YouTube channels (examples include bdcrictime.com discussions, T Sports video comments, RabbitHoleBD sports threads).
2. Initial raw volume: ≈ 16,000 raw comments were collected prior to filtering.
3. Final released volume: 8,582 comments after deduplication, spam removal, and relevance filtering.
4. Sports Coverage: Cricket, football, volleyball, hockey, and other sports
5. Geographic Scope: Comments about Bangladeshi national teams, international teams, club football, and various sporting events
6. Time Period: Recent comments reflecting current fan discourse and language usage

Class Definitions:
i. Joy (Label 0) - Positive emotions such as happiness, excitement, celebration, or praise for a team or player
ii. Anger (Label 1) - Negative emotions directed toward one's own team, players, or performance.
iii. Support (Label 2) - Encouragement, loyalty, or backing for a team or player regardless of the outcome.
iv. Toxic (Label 3) - Harsh, offensive, or sarcastic remarks often directed at opponents or rival fans.

Key Features:
1. Fairly balanced class distribution
2. Multi-sport coverage ensuring broader generalizability
3. Clear annotation guidelines for reproducibility
4. High inter-annotator agreement
5. Captures nuanced emotions including semantic overlap between Anger and Toxic classes

Use Cases:
i. Sentiment analysis model development for Bangla
ii. Low-resource NLP research
iii. Sports analytics and fan engagement studies
iv. Benchmark evaluation for transformer and classical ML models
v. Cross-lingual sentiment analysis studies

File Format
CSV file with two columns:
- Comment text (Bangla)
- Class label (0: Joy; 1: Anger; 2: Support; 3: Toxic)
DOI: 10.17632/zyjcvb46t6.2
title: Experimental characterization of multi-pathway diffusion of lithium in feldspar

description: Supplementary data for the manuscript, "Experimental characterization of multi-pathway diffusion of lithium in feldspar" submitted to Geochimica Cosmochimica et Acta. The attached XLS files include the EPMA data for the starting compositions of the feldspars used in experiments, and the processed LA-ICP-MS data for each experiment.
DOI: 10.15468/dl.6m5a68
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetostoma vagum",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 37 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010981-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtub68
title: Occurrence Download

description: A dataset containing 2274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Uvularia grandiflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2274 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010982-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9cxap
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephelium lappaceum pallens",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 118 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010983-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5wdyq
title: Occurrence Download

description: A dataset containing 3725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-122.82009 36.89854,-121.37733 36.89854,-121.37733 38.39733,-122.82009 38.39733,-122.82009 36.89854))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Procyon lotor"
 ]
}

 The dataset includes 3725 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010984-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18618647
title: MuLAR: Spatial Modeling with Integrated Cultural Dimensions

description: This dataset supports the spatial modeling of the contemporary spoken Latgalian language corpus MuLaR. It includes the coordinates of geolocations identified in the corpus and disambiguated through close reading. Additional variables provide information on toponym variations, their frequency of use, references to the same geolocations on other platforms (Instagram), as well as their presence in a curated experimental transmedial corpus of Latgalian texts.An interactive digital model created on the basis of the dataset: https://snowwhirls.github.io/Latgale/ 

 

The dataset was created within the framework of Research and Development Grant No. RTU-PA-2024/1-0063, as part of Project No. 5.2.1.1.i.0/2/24/I/CFLA/003, funded by the EU Recovery and Resilience Facility, titled “Implementation of Consolidation and Governance Changes at Riga Technical University, University of Liepāja, Rezekne Academy of Technologies, Latvian Maritime Academy, and Liepāja Maritime College on the Path Toward Excellence in Higher Education, Science, and Innovation.”