cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.65a8qe
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla anguilla",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029973-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx46wk
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla anguilla",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029972-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vnmxjg9kd9
title: Supplementary for 3NOP in beef

description: Supplementary data for paper titled 'A meta-analysis of 3-nitrooxypropanol effects on methane production and yield in beef cattle'
DOI: 10.17632/vnmxjg9kd9.1
title: Supplementary for 3NOP in beef

description: Supplementary data for paper titled 'A meta-analysis of 3-nitrooxypropanol effects on methane production and yield in beef cattle'
DOI: 10.17632/mwvtnckgtc
title: Figure 1

description: Flowchart of patient selection and study design.
DOI: 10.17632/mwvtnckgtc.1
title: Figure 1

description: Flowchart of patient selection and study design.
DOI: 10.17632/x5yc4m5yg2.1
title: Bengali Political Sentiment Analysis Dataset

description: This dataset comprises 3,290 Bengali political comments sourced from social media platforms, news comment sections, and online political discussions, specifically curated for sentiment analysis research in Bengali NLP. The corpus provides a comprehensive resource for training and evaluating sentiment classification models within the political domain.
The dataset features 3,290 instances distributed across five sentiment classes with excellent balance (variance &lt;8%): Very Negative (675, 20.5%), Negative (663, 20.2%), Neutral (626, 19.0%), Very Positive (664, 20.2%), and Positive (662, 20.1%). Stored in Excel format with two columns containing Bengali political comments (Unicode text) and corresponding sentiment labels, the dataset maintains high quality with no missing values and verified annotations. Comment lengths average 83 characters, ranging from 11 to 398 characters.
The collection encompasses diverse political discourse including government policies and governance, electoral processes and democracy, political parties and leadership dynamics, social and economic issues, current affairs and political events, along with public opinion and citizen responses to political developments.
This dataset serves multiple research purposes, including Bengali sentiment analysis model development and benchmarking, political discourse analysis and opinion mining, natural language processing research for low-resource languages, cross-lingual sentiment analysis studies, social media analytics for Bengali content, multi-class text classification research, and comparative political sentiment studies across different linguistic and cultural contexts.
DOI: 10.17632/bwt93r942s
title: RNA sequencing analysis from samples from CLBL-1, CLB70 and GL-1 lymphoma/leukemia canine cells. Treated with DMSO as control and with PhenDC3 in 5uM concentration for 24 hours.

description: RNA sequencing analysis from samples from CLBL-1, CLB70 and GL-1 lymphoma/leukemia canine cells. Treated with DMSO as control and with PhenDC3 in 5uM concentration for 24 hours. Analysis preformed by Novogene. 
The cost of this research was financed by the project "UPWR 2.0:international and interdisciplinary programme of development of Wrocław University of Environmental and Life Sciences", co-financed by the European Social Fund under the Operational Program Knowledge Education Development, under contract No. POWR.03.05.00-00-Z062 / 18 of June 4, 2019 and by the Polish National Agency for Academic Exchange under Grant No. PPI/APM/2019/1/00044/U/00001
DOI: 10.17632/bwt93r942s.1
title: RNA sequencing analysis from samples from CLBL-1, CLB70 and GL-1 lymphoma/leukemia canine cells. Treated with DMSO as control and with PhenDC3 in 5uM concentration for 24 hours.

description: RNA sequencing analysis from samples from CLBL-1, CLB70 and GL-1 lymphoma/leukemia canine cells. Treated with DMSO as control and with PhenDC3 in 5uM concentration for 24 hours. Analysis preformed by Novogene. 
The cost of this research was financed by the project "UPWR 2.0:international and interdisciplinary programme of development of Wrocław University of Environmental and Life Sciences", co-financed by the European Social Fund under the Operational Program Knowledge Education Development, under contract No. POWR.03.05.00-00-Z062 / 18 of June 4, 2019 and by the Polish National Agency for Academic Exchange under Grant No. PPI/APM/2019/1/00044/U/00001
DOI: 10.17632/mnt66z9tks
title: The ARRIVE guidelines 2.0: author checklist

description: This study investigated the impact of Flunitrazepam (Rohypnol) on insect colonization and decomposition patterns in a forensic context. The research hypothesis was that increasing concentrations of Flunitrazepam would reduce the abundance of insects attracted to decomposing remains and prolong the duration of decomposition stages, while not significantly altering the pattern of insect succession. To test this, four domestic pigs (Sus scrofa Linnaeus) were used—one as a control and three as experimental units receiving oral doses of Flunitrazepam at concentrations of 1 mg/250 ml, 2 mg/250 ml, and 3 mg/250 ml dissolved in vodka.
After euthanasia, the carcasses were placed in individual metal cages at the University of Nairobi’s Veterinary Farm, Upper Kabete, and left to decompose under natural conditions. Insect sampling was conducted over a 120-day period using aerial nets, pitfall traps, and forceps. Sampling frequency was three times daily for the first eight days, twice daily for the next eight days, and once daily thereafter until decomposition reached the dry remains stage. Samples included adult insects and maggots collected from the body surface, natural openings, and surrounding area. Maggots were either preserved in 75% ethanol or reared to adulthood for identification. Insects were identified using standard entomological keys and recorded by species and abundance.
The first dataset contains insect species occurrence, developmental stages, and temporal distribution across the five decomposition stages (fresh, bloated, active decay, advanced decay, and dry). The second dataset includes meteorological data—such as temperature and humidity—collected daily from the study site to provide context for environmental influences on decomposition and insect activity.
Key findings show that insect abundance decreased as Flunitrazepam concentration increased, but the composition and succession pattern of insect species remained consistent. Calliphoridae was the most dominant family across all carcasses. Decomposition was slower in Flunitrazepam-treated carcasses, indicating the drug’s potential to delay insect colonization or development. These data are useful for forensic scientists and entomologists investigating drug-related deaths, post-mortem interval estimation, and carrion ecology. Researchers can use this dataset to examine drug effects on decomposition dynamics, validate forensic models, and compare findings across different environmental or geographic contexts.
DOI: 10.17632/mnt66z9tks.3
title: The ARRIVE guidelines 2.0: author checklist

description: This study investigated the impact of Flunitrazepam (Rohypnol) on insect colonization and decomposition patterns in a forensic context. The research hypothesis was that increasing concentrations of Flunitrazepam would reduce the abundance of insects attracted to decomposing remains and prolong the duration of decomposition stages, while not significantly altering the pattern of insect succession. To test this, four domestic pigs (Sus scrofa Linnaeus) were used—one as a control and three as experimental units receiving oral doses of Flunitrazepam at concentrations of 1 mg/250 ml, 2 mg/250 ml, and 3 mg/250 ml dissolved in vodka.
After euthanasia, the carcasses were placed in individual metal cages at the University of Nairobi’s Veterinary Farm, Upper Kabete, and left to decompose under natural conditions. Insect sampling was conducted over a 120-day period using aerial nets, pitfall traps, and forceps. Sampling frequency was three times daily for the first eight days, twice daily for the next eight days, and once daily thereafter until decomposition reached the dry remains stage. Samples included adult insects and maggots collected from the body surface, natural openings, and surrounding area. Maggots were either preserved in 75% ethanol or reared to adulthood for identification. Insects were identified using standard entomological keys and recorded by species and abundance.
The first dataset contains insect species occurrence, developmental stages, and temporal distribution across the five decomposition stages (fresh, bloated, active decay, advanced decay, and dry). The second dataset includes meteorological data—such as temperature and humidity—collected daily from the study site to provide context for environmental influences on decomposition and insect activity.
Key findings show that insect abundance decreased as Flunitrazepam concentration increased, but the composition and succession pattern of insect species remained consistent. Calliphoridae was the most dominant family across all carcasses. Decomposition was slower in Flunitrazepam-treated carcasses, indicating the drug’s potential to delay insect colonization or development. These data are useful for forensic scientists and entomologists investigating drug-related deaths, post-mortem interval estimation, and carrion ecology. Researchers can use this dataset to examine drug effects on decomposition dynamics, validate forensic models, and compare findings across different environmental or geographic contexts.
DOI: 10.15468/dl.b5z6ru
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis crassilabris)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 67 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029974-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n9pvg96h55
title: Estudo epidemiológico, descritivo e retrospectivo sobre subnotificação de casos de pacientes com fissuras orais na região Oeste do Paraná – Brasil entre 2015 e 2019

description: Este banco de dados refere-se ao artigo Estudo epidemiológico, descritivo e retrospectivo sobre subnotificação de casos de pacientes com fissuras orais na região Oeste do Paraná – Brasil entre 2015 e 2019
DOI: 10.17632/n9pvg96h55.1
title: Estudo epidemiológico, descritivo e retrospectivo sobre subnotificação de casos de pacientes com fissuras orais na região Oeste do Paraná – Brasil entre 2015 e 2019

description: Este banco de dados refere-se ao artigo Estudo epidemiológico, descritivo e retrospectivo sobre subnotificação de casos de pacientes com fissuras orais na região Oeste do Paraná – Brasil entre 2015 e 2019
DOI: 10.17632/6rv4f5r442
title: Chemical compositions and Sr-Nd isotopes of marine sediments recovered from IODP Site U1553, on the Campbell Plateau

description: We measured chemical compositions and Sr-Nd isotopic ratios from deep-sea sediments at International Ocean Discovery Program (IODP) Site U1553, located on the Campbell Plateau, south of New Zealand. We report the data from 64 bulk sediment samples, 16 leached fractions, and 18 residue fractions after an acetic acid leaching process. The age model of Site U1553 was determined by biostratigraphic and magnetostratigraphic ages based on the Geologic Time Scale 2012 (Röhl et al., 2022).

This dataset contains six tables and one compiled dataset. Table S1 shows the bulk chemical concentrations of the Site U1553 samples. Tables S2 and S3 present the REE concentrations in the U1553 leachate and residue samples, respectively. In addition, Table S2 includes Al concentrations in the U1553 leachate samples. Tables S4, S5, and S6 present the Sr and Nd isotopic compositions of the U1553 bulk, leachate, and residue samples, respectively. All tables are provided as separate files. Dataset S1 provides a compilation of the seawater Nd isotope data shown in Figure 7a in Tanaka et al. (2025).
DOI: 10.17632/6rv4f5r442.1
title: Chemical compositions and Sr-Nd isotopes of marine sediments recovered from IODP Site U1553, on the Campbell Plateau

description: We measured chemical compositions and Sr-Nd isotopic ratios from deep-sea sediments at International Ocean Discovery Program (IODP) Site U1553, located on the Campbell Plateau, south of New Zealand. We report the data from 64 bulk sediment samples, 16 leached fractions, and 18 residue fractions after an acetic acid leaching process. The age model of Site U1553 was determined by biostratigraphic and magnetostratigraphic ages based on the Geologic Time Scale 2012 (Röhl et al., 2022).

This dataset contains six tables and one compiled dataset. Table S1 shows the bulk chemical concentrations of the Site U1553 samples. Tables S2 and S3 present the REE concentrations in the U1553 leachate and residue samples, respectively. In addition, Table S2 includes Al concentrations in the U1553 leachate samples. Tables S4, S5, and S6 present the Sr and Nd isotopic compositions of the U1553 bulk, leachate, and residue samples, respectively. All tables are provided as separate files. Dataset S1 provides a compilation of the seawater Nd isotope data shown in Figure 7a in Tanaka et al. (2025).
DOI: 10.17632/fb5xhhn6m5
title: KurCorpus 2B: A Multidialectal 2-Billion-Token Corpus for Kurdish Language Modeling

description: KurCorpus 2B and KurBERT 2B are two foundational resources designed to advance Natural Language Processing (NLP) for Kurdish, a historically under-resourced language with rich morphological complexity and multiple spoken varieties.
KurCorpus 2B is the largest publicly available Kurdish text corpus, with more than 2 billion tokens across the three major Kurdish dialects: Sorani, Badini, and Hawrami.
KurBERT 2B is the first large-scale multidialectal BERT-based language model for Kurdish, pretrained on KurCorpus 2B using Masked Language Modeling (MLM).
Both resources aim to foster reproducibility, cross-dialect adaptability, and future development in Kurdish NLP and AI research.

Dataset: KurCorpus 2B
Sources & Coverage
KurCorpus 2B was compiled from diverse sources to capture linguistic richness and dialectal variation:
• News websites
• Social media platforms (Facebook, Telegram)
• Digitized literary texts and online publications

Preprocessing Pipeline:
To ensure linguistic consistency, data integrity, and model readiness, KurCorpus 2B underwent a comprehensive text preprocessing pipeline tailored for multidialectal Kurdish text. This structured approach significantly improves the quality and usability of the dataset for transformer-based language modeling. The preprocessing steps include:
• Unicode Normalization (NFKC): Standardized character encoding to unify visually similar glyphs across Sorani, Badini, and Hawrami dialects.
• Orthographic Correction: Fixed common inconsistencies such as Arabic-script variations (ك → ک, ي → ی) to improve tokenization accuracy.
• Noise Removal: Eliminated emojis, URLs, email addresses, and HTML tags using placeholder tagging (e.g., [URL], [EMAIL]).
• Whitespace and Punctuation Fixing: Corrected irregular spacing and normalized punctuation marks for better syntactic processing.
• Stopword Filtering: Applied dialect-aware stopword lists to reduce noise while preserving meaningful linguistic structures.
• Token-level Cleaning: Ensured clean sentence boundaries and improved readability for downstream NLP tasks like language modeling and knowledge graph construction.

Model: KurBERT 2B
Architecture
• Base Model: BERT-Base
• Layers: 12 Transformer encoder layers
• Hidden Units: 768
• Attention Heads: 12
• Vocabulary: Multidialectal tokenizer trained on KurCorpus 2B

Usage Example
from transformers import AutoTokenizer, AutoModel
# Load tokenizer & model
tokenizer = AutoTokenizer.from_pretrained("YourRepo/KurBERT-2B")
model = AutoModel.from_pretrained("YourRepo/KurBERT-2B")
# Example input
text = "من دڵخۆشم بە زمانی کوردی"
inputs = tokenizer(text, return_tensors="pt")
# Forward pass
outputs = model(**inputs)
print(outputs.last_hidden_state.shape)

Applications
KurCorpus 2B and KurBERT 2B support transfer learning for a wide range of tasks:
• Text Classification
• Sentiment Analysis
• Named Entity Recognition (NER)
• Machine Translation
• Knowledge Graph Construction
• Question Answering
DOI: 10.17632/fb5xhhn6m5.1
title: KurCorpus 2B: A Multidialectal 2-Billion-Token Corpus for Kurdish Language Modeling

description: KurCorpus 2B and KurBERT 2B are two foundational resources designed to advance Natural Language Processing (NLP) for Kurdish, a historically under-resourced language with rich morphological complexity and multiple spoken varieties.
KurCorpus 2B is the largest publicly available Kurdish text corpus, with more than 2 billion tokens across the three major Kurdish dialects: Sorani, Badini, and Hawrami.
KurBERT 2B is the first large-scale multidialectal BERT-based language model for Kurdish, pretrained on KurCorpus 2B using Masked Language Modeling (MLM).
Both resources aim to foster reproducibility, cross-dialect adaptability, and future development in Kurdish NLP and AI research.

Dataset: KurCorpus 2B
Sources & Coverage
KurCorpus 2B was compiled from diverse sources to capture linguistic richness and dialectal variation:
• News websites
• Social media platforms (Facebook, Telegram)
• Digitized literary texts and online publications

Preprocessing Pipeline:
To ensure linguistic consistency, data integrity, and model readiness, KurCorpus 2B underwent a comprehensive text preprocessing pipeline tailored for multidialectal Kurdish text. This structured approach significantly improves the quality and usability of the dataset for transformer-based language modeling. The preprocessing steps include:
• Unicode Normalization (NFKC): Standardized character encoding to unify visually similar glyphs across Sorani, Badini, and Hawrami dialects.
• Orthographic Correction: Fixed common inconsistencies such as Arabic-script variations (ك → ک, ي → ی) to improve tokenization accuracy.
• Noise Removal: Eliminated emojis, URLs, email addresses, and HTML tags using placeholder tagging (e.g., [URL], [EMAIL]).
• Whitespace and Punctuation Fixing: Corrected irregular spacing and normalized punctuation marks for better syntactic processing.
• Stopword Filtering: Applied dialect-aware stopword lists to reduce noise while preserving meaningful linguistic structures.
• Token-level Cleaning: Ensured clean sentence boundaries and improved readability for downstream NLP tasks like language modeling and knowledge graph construction.

Model: KurBERT 2B
Architecture
• Base Model: BERT-Base
• Layers: 12 Transformer encoder layers
• Hidden Units: 768
• Attention Heads: 12
• Vocabulary: Multidialectal tokenizer trained on KurCorpus 2B

Usage Example
from transformers import AutoTokenizer, AutoModel
# Load tokenizer & model
tokenizer = AutoTokenizer.from_pretrained("YourRepo/KurBERT-2B")
model = AutoModel.from_pretrained("YourRepo/KurBERT-2B")
# Example input
text = "من دڵخۆشم بە زمانی کوردی"
inputs = tokenizer(text, return_tensors="pt")
# Forward pass
outputs = model(**inputs)
print(outputs.last_hidden_state.shape)

Applications
KurCorpus 2B and KurBERT 2B support transfer learning for a wide range of tasks:
• Text Classification
• Sentiment Analysis
• Named Entity Recognition (NER)
• Machine Translation
• Knowledge Graph Construction
• Question Answering
DOI: 10.5281/zenodo.15437171
title: Supporting data for "Formaldehyde-Mediated Initial Carbon–Carbon Bond Formation in Zeolite-Catalyzed Methanol-to-Hydrocarbons"

description: This dataset includes all structural files and vibrational frequency output files generated by CP2K software for the publications title as "Formaldehyde-Mediated Initial Carbon–Carbon Bond Formation in Zeolite-Catalyzed Methanol-to-Hydrocarbons". All structural files are in XYZ format, and the prefix of file is consistent with their names mentioned in the publication.
DOI: 10.5281/zenodo.15437172
title: Supporting data for "Formaldehyde-Mediated Initial Carbon–Carbon Bond Formation in Zeolite-Catalyzed Methanol-to-Hydrocarbons"

description: This dataset includes all structural files and vibrational frequency output files generated by CP2K software for the publications title as "Formaldehyde-Mediated Initial Carbon–Carbon Bond Formation in Zeolite-Catalyzed Methanol-to-Hydrocarbons". All structural files are in XYZ format, and the prefix of file is consistent with their names mentioned in the publication.
DOI: 10.17632/s6mycc59v6.2
title: UNE Treatment

description: Background: Ulnar neuropathy at the elbow (UNE) is primarily caused by entrapment in the cubital tunnel (CTE) or by external compression in the retrocondylar groove (RGC). This study examines the utility of surgery in UNE due to entrapment and external compression in a randomized controlled trial. Methods: Consecutive UNE patients referred to a single referral centre were categorized into CTE and RGC groups. Each group was randomly assigned to either surgery or conservative treatment by throwing the dice. After a one-year follow-up, their clinical, electrodiagnostic (EDx), and ultrasonographic (US) outcomes were compared. The primary outcome measure was the percentage of patients with markedly improved symptoms. Examiners were blinded to group assignment. We anticipated better results in surgically treated CTE patients, but expected no differences among the RGC groups. Findings: There were 32 CTE–surgery, 33 CTE–conservative, 33 RGC–surgery, and 32 RGC–conservative UNE patients analysed. The proportion of patients reporting markedly improved symptoms did not differ significantly across the four groups. However, among the CTE surgery patients, the percentage of individuals with decreased clinical severity, improved small finger abduction strength, increased motor nerve conduction velocity, and reduced maximal nerve cross-sectional area significantly improved compared to the CTE conservative group. In the RGC groups, no consistent difference in improvement was found. Interpretation: Although the primary outcome measure did not achieve statistical significance, several positive secondary outcomes in the CTE surgery arm support the preference for surgical intervention over conservative treatment for UNE patients with CTE. In contrast, the findings do not favour surgery for RGC patients.
DOI: 10.17632/k3fkbp98zw
title: Data and Welfare in Credit Markets

description: This is the replication package for "Data and Welfare in Credit Markets"
DOI: 10.17632/k3fkbp98zw.1
title: Data and Welfare in Credit Markets

description: This is the replication package for "Data and Welfare in Credit Markets"
DOI: 10.17632/wds99dcj3j
title: Cloze tests as retrieval practice activities: evaluating their integration with audience response systems in K-12 schools

description: Data on two experiments with students at two different K-12 grade levels (fifth and tenth grades) and in two different subjects (history and EFL lessons). Memory and comprehension measures were employed as posttests.