cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e74swf
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wisteria sinensis",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050228-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t86x2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wisteria sinensis",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050229-250811113504898/datasets/export for details.
DOI: 10.7910/dvn/eki0if
title: Beyond Survival Project: Quantitative Cross-sectional Survey

description: This dataset and data dictionary includes data collected in 2024 from 120 mother-baby dyads 5-10 weeks postpartum who had been discharged from the hospital and were recruited at 3 maternal and child health clinics for routine care as part of the Beyond Survival Project conducted in Kenya. Participants were administered a retrospective survey about their pregnancy and birth experiences and postpartum experience to date. Sample targeted women who had experienced a birth complication, thus it is not representative of postpartum women.
DOI: 10.34740/kaggle/dsv/12886567
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5284/1052662
title: Documentation from the 2013-2019 Project: 'The Archaeology of Bidford-on-Avon: The Anglo-Saxon Cemetery'

description: The Archaeology of Bidford-on-Avon project, 2013-2019, directed by Sue Hirst and Tania Dickinson, was established to complete publication of multi-period rescue excavations carried out between 1971 and 1994 in Bidford-on-Avon, Warwickshire. Although the standards of excavation, publication and subsequent curation of the 1920s finds, and the relatively poor state of preservation of the finds made since 1971, placed limitations on what the research could achieve, it has resulted in a thorough and up-to-date reappraisal of the cemetery and its implications for the early medieval archaeology of the Avon valley. Documentation created to assist this research is contained in this collection.
DOI: 10.34894/w680u0
title: Do cynics lie to avoid exploitation, to exploit others, or not at all? A registered report on the relationship between cynicism and dishonesty

description: This data package contains (meta) data, analysis scripts, and relevant documents for the project: “Do cynics lie to avoid exploitation, to exploit others, or not at all? A registered report on the relationship between cynicism and dishonesty”. The project investigated the association between cynicism and dishonesty and the relative strength of two underlying motives – the motivation to avoid exploitation and the motivation to exploit others. In Study 1, participants responded to hypothetical ethical dilemmas where they could lie to avoid being exploited or to exploit someone else. In Study 2, participants engaged in an incentivized behavioral task, where they could lie to protect their own endowment from another person, or to take away another person’s endowment. In both studies, participants completed measures of cynicism, Honesty-Humility, and the Dark Factor of Personality.
DOI: 10.15468/dl.yby7gd
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.44883 47.00852,27.32423 41.92675,33.49243 42.38401,39.86624 41.20889,41.92231 41.62007,42.26498 44.4252,39.11235 47.88909,33.6295 48.6192,29.44883 47.00852))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mullus barbatus Linnaeus, 1758"
 ]
}

 The dataset includes 60 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019998-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ys9auw
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((38.51969 47.68131,31.1381 47.31641,27.4173 44.26272,27.05722 42.20808,27.83739 41.98543,30.95806 41.94081,34.55884 42.69517,40.02001 41.62757,41.58035 41.62757,43.38074 41.98543,39.89999 47.64089,38.51969 47.68131))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Engraulis encrasicolus (Linnaeus, 1758)"
 ]
}

 The dataset includes 30 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022912-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p77k33
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((27.63236 42.1734,30.70799 41.94505,35.62899 42.68418,39.55042 41.71587,41.85714 41.54346,42.1647 45.33791,39.39664 47.66615,32.86093 48.33497,29.24706 46.72574,27.01723 43.91522,27.63236 42.1734))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scophthalmus maximus (Linnaeus, 1758)"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020024-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shdxvx
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.95691 47.47151,29.86093 46.81478,27.23247 43.33124,27.44704 42.02997,32.70395 42.54584,38.71185 41.63027,41.60852 41.50988,39.08734 46.11276,40.0529 47.39894,34.95691 47.47151))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Merlangius merlangus (Linnaeus, 1758)"
 ]
}

 The dataset includes 29 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022874-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy7ypq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((40.75832 47.78051,32.3051 48.18882,25.85626 44.76985,27.33775 42.04828,31.34649 41.52846,34.65806 42.49966,38.66681 41.20144,42.15267 41.20144,42.41411 45.38523,40.75832 47.78051))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trachurus trachurus (Linnaeus, 1758)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022908-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15881499
title: Kurmanji LLM Evaluation Dataset (ChatGPT-4o, Gemini, Claude, Grok)

description: This dataset contains sample outputs and evaluation scores from the study “A Test of Meaning, Form, and Culture in Kurmanji: An Evaluation of Large Language Models’ Performance.”

It includes responses generated by four large language models—ChatGPT-4o, Gemini, Claude, and Grok—in reaction to prompts written in Kurmanji, a morphologically rich and culturally embedded Kurdish language.

Each model output was scored by human annotators based on grammatical correctness, semantic accuracy, and cultural appropriateness. The dataset also includes evaluation notes for qualitative insight.

This sample represents a subset of the full analysis described in the manuscript.

The dataset is shared under the CC-BY 4.0 license, and may be reused for research, teaching, or further model evaluation in low-resource language contexts.
DOI: 10.5281/zenodo.16993575
title: Kurmanji LLM Evaluation Dataset (ChatGPT-4o, Gemini, Claude, Grok)

description: This dataset contains sample outputs and evaluation scores from the study “A Test of Meaning, Form, and Culture in Kurmanji: An Evaluation of Large Language Models’ Performance.”

It includes responses generated by four large language models—ChatGPT-4o, Gemini, Claude, and Grok—in reaction to prompts written in Kurmanji, a morphologically rich and culturally embedded Kurdish language.

Each model output was scored by human annotators based on grammatical correctness, semantic accuracy, and cultural appropriateness. The dataset also includes evaluation notes for qualitative insight.

This sample represents a subset of the full analysis described in the manuscript.

The dataset is shared under the CC-BY 4.0 license, and may be reused for research, teaching, or further model evaluation in low-resource language contexts.
DOI: 10.14278/rodare.3953
title: Data publication: Oxygen versus Hydrogen Bubble Dynamics during Water Electrolysis at Microelectrodes

description: Raw data on bubble growth on microelectrodes
DOI: 10.14278/rodare.3952
title: Data publication: Oxygen versus Hydrogen Bubble Dynamics during Water Electrolysis at Microelectrodes

description: Raw data on bubble growth on microelectrodes
DOI: 10.5281/zenodo.16993558
title: Conservation and Global Patterns of Transcription Factor Networks in Klebsiella pneumoniae
DOI: 10.5281/zenodo.16993559
title: Conservation and Global Patterns of Transcription Factor Networks in Klebsiella pneumoniae
DOI: 10.34740/kaggle/dsv/12905208
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.19918231
title: Reddit social dimensions

description: Accompanying dataset for paper "Multidimensional Tie Strength and Economic Development"
<br>
reddit_messages_dimensions:

 author: reddit users who sent the message
 time: timestamp of message
 dest_author: recipient of message
 author_state_code: estimated state of residence for the sender
 dest_state_code: estimated state of residence for the receiver
 {dimension}_binary_adaptive_{threshold}: binary score that indicates whether the message expresses the given dimension when filtering messages according to the specified threshold

regression_file:

 state_code: the 2-letter code of the state
 state: name of the state
 lat_centroid: latitude of the state centroid
 lon_centroid: longitude of the state centroid
 population_2010: resident population in 2010
 population_2015: resident population in 2019
 population_2019: resident population in 2019
 gdp_per_capita_2017: GDP per capita in year 2017
 user_count: number of reddit users in the dataset
 {spatial|social}_diversity_{dimension}_{threshold}: measure of spatial|social diversity calculated for a given social dimension, using the specified threshold on the dimension scores
 capital: capital of the state
 diversity_{social|spatial}_all_minstrength_{n}: measure of spatial|social diversity calculated using all social links and a minimum threshold on n messages sent

<br>
DOI: 10.6084/m9.figshare.19918231.v1
title: Reddit social dimensions

description: Accompanying dataset for paper "Multidimensional Tie Strength and Economic Development"
<br>
reddit_messages_dimensions:

 author: reddit users who sent the message
 time: timestamp of message
 dest_author: recipient of message
 author_state_code: estimated state of residence for the sender
 dest_state_code: estimated state of residence for the receiver
 {dimension}_binary_adaptive_{threshold}: binary score that indicates whether the message expresses the given dimension when filtering messages according to the specified threshold

regression_file:

 state_code: the 2-letter code of the state
 state: name of the state
 lat_centroid: latitude of the state centroid
 lon_centroid: longitude of the state centroid
 population_2010: resident population in 2010
 population_2015: resident population in 2019
 population_2019: resident population in 2019
 gdp_per_capita_2017: GDP per capita in year 2017
 user_count: number of reddit users in the dataset
 {spatial|social}_diversity_{dimension}_{threshold}: measure of spatial|social diversity calculated for a given social dimension, using the specified threshold on the dimension scores
 capital: capital of the state
 diversity_{social|spatial}_all_minstrength_{n}: measure of spatial|social diversity calculated using all social links and a minimum threshold on n messages sent

<br>
DOI: 10.6084/m9.figshare.19918231.v2
title: Reddit social dimensions

description: Accompanying dataset for paper "Multidimensional Tie Strength and Economic Development"
<br>
reddit_messages_dimensions:

 author: reddit users who sent the message
 time: timestamp of message
 dest_author: recipient of message
 author_state_code: estimated state of residence for the sender
 dest_state_code: estimated state of residence for the receiver
 {dimension}_binary_adaptive_{threshold}: binary score that indicates whether the message expresses the given dimension when filtering messages according to the specified threshold

regression_file:

 state_code: the 2-letter code of the state
 state: name of the state
 lat_centroid: latitude of the state centroid
 lon_centroid: longitude of the state centroid
 population_2010: resident population in 2010
 population_2015: resident population in 2019
 population_2019: resident population in 2019
 gdp_per_capita_2017: GDP per capita in year 2017
 user_count: number of reddit users in the dataset
 {spatial|social}_diversity_{dimension}_{threshold}: measure of spatial|social diversity calculated for a given social dimension, using the specified threshold on the dimension scores
 capital: capital of the state
 diversity_{social|spatial}_all_minstrength_{n}: measure of spatial|social diversity calculated using all social links and a minimum threshold on n messages sent

<br>
DOI: 10.21227/vy9t-3s93
title: "Replication Data for GraphTransGeo: A Reliable Geolocation Method Integrating Adversarial Training"

description: "This dataset is a replication package for the paper \u201cGraphTransGeo: A Reliable Geolocation Method Integrating Adversarial Training\u201d.The data is derived from publicly available datasets including TrustGeo project (KDD 2023), CAIDA, and RIPE RIS.We provide a cleaned and pre-processed version of the data used in our experiments, including BGP routing information, IP prefix geolocation samples, and graph structure files.The dataset can be used to reproduce our results and to support further research in IP geolocation, adversarial training, and trustworthy network measurement."
DOI: 10.6084/m9.figshare.30009766
title: Gap-Filling for Daily Latent Heat Flux Observations with the Median-adjusted Full-factorial method at Global Flux Sites

description: Latent heat flux (LE) plays a crucial role in the regional water-energy cycle. Eddy covariance (EC) measurements of LE frequently suffer from data gaps due to weather or equipment malfunctions. This study presents a novel framework combining median-adjusted full-factorial and iterative methods to fill LE data gaps. The findings indicate that the framework exhibits stable gap-filling across land surfaces, showing root mean squared errors (RMSEs) of 14.69-19.51 W/m² for isolated gaps and averaging 24.41 W/m<sup>2</sup> for long-term missing periods (5-50 days). Gap-filled LE data closely matched temporal dynamics and fluctuations of adjacent measurements. Based on gap-filled LE data, all sites demonstrated strong correlations between available energy and turbulent fluxes, with RMSE values ranging 28.41-38.01 W/m² and achieving an average energy closure of 0.79 across sites. Compared to ERA5-Land and GLEAM products, the gap-filled data significantly outperformed both LE products. Overall, the filled LE data are of high quality and significantly improve the usability of observed data. The complete time-series data from 265 sites (1509 site-years) are valuable for LE model validation and water demand assessments.
DOI: 10.6084/m9.figshare.30009766.v1
title: Gap-Filling for Daily Latent Heat Flux Observations with the Median-adjusted Full-factorial method at Global Flux Sites

description: Latent heat flux (LE) plays a crucial role in the regional water-energy cycle. Eddy covariance (EC) measurements of LE frequently suffer from data gaps due to weather or equipment malfunctions. This study presents a novel framework combining median-adjusted full-factorial and iterative methods to fill LE data gaps. The findings indicate that the framework exhibits stable gap-filling across land surfaces, showing root mean squared errors (RMSEs) of 14.69-19.51 W/m² for isolated gaps and averaging 24.41 W/m<sup>2</sup> for long-term missing periods (5-50 days). Gap-filled LE data closely matched temporal dynamics and fluctuations of adjacent measurements. Based on gap-filled LE data, all sites demonstrated strong correlations between available energy and turbulent fluxes, with RMSE values ranging 28.41-38.01 W/m² and achieving an average energy closure of 0.79 across sites. Compared to ERA5-Land and GLEAM products, the gap-filled data significantly outperformed both LE products. Overall, the filled LE data are of high quality and significantly improve the usability of observed data. The complete time-series data from 265 sites (1509 site-years) are valuable for LE model validation and water demand assessments.
DOI: 10.18150/eoxog8
title: Animal studies in peritoneal dialysis

description: The first version of Animal Research: Reporting of In Vivo Experiments (ARRIVE 1.0) guidelines was introduced to improve reporting of animal research, but did not lead to major improvements in this respect, which applied also to animal studies on peritoneal dialysis. Here, we examined the performance of a revised version of these guidelines (ARRIVE 2.0) in animal studies related to peritoneal dialysis.
DOI: 10.3535/fa7-ay9-nlb
title: Eleocharis elegans (Kunth) Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.60493/ybtk4-pt177
title: Raw data: "(R)-S-Adenosyl-L-methionine hydrolases counter sulfonium epimerisation in thermophilic archaea"

description: raw data of HPLC-UV and LC-MS/MS measurements
DOI: 10.5281/zenodo.16993682
title: premiere activities data
DOI: 10.5281/zenodo.16993683
title: premiere activities data
DOI: 10.5281/zenodo.13838380
title: Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.

description: These data are associated with the following manuscript:

Brown, K., Firth, A. E. (2025)Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.
DOI: 10.5281/zenodo.16993714
title: Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.

description: These data are associated with the following manuscript:

Brown, K., Firth, A. E. (2025)Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.
DOI: 10.5281/zenodo.16993498
title: Data for 'Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation'

description: Figure data for 'Maybe you don’t need a U-Net: convolutional feature upsampling for materials micrograph segmentation'. Includes subsets of three existing segmentation datasets with sparse labels:

1) 'Ni_superalloy_SEM': Microstructure segmentation with deep learning encoders pre-trained on a large microscopy dataset, Stuckner, Joshua and Harder, Bryan and Smith, Timothy M., https://doi.org/10.1038/s41524-022-00878-5

2) 'T_cell_TEM': Semi-automatic determination of cell surface areas used in systems biology., Morath, Volker and Keuper, Margret and Rodriguez-Franco, Marta and Deswal, Sumit and Fiala, Gina and Blumenthal, Britta and Kaschek, Daniel and Timmer, Jens and Neuhaus, Gunther and Ehl, Stephan and Ronneberger, Olaf and Schamel, Wolfgang Werner A.m, https://doi.org/10.2741/e635

3) 'Cu_ore_RLM': Deep learning semantic segmentation of opaque and non-opaque minerals from epoxy resin in reflected light microscopy images, Filippo, Michel Pedro and Gomes, Otávio da Fonseca Martins and Costa, Gilson Alexandre Ostwald Pedro da and Mota, Guilherme Lucio Abelha, https://doi.org/10.1016/j.mineng.2021.107007
DOI: 10.5281/zenodo.16993497
title: Data for 'Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation'

description: Figure data for 'Maybe you don’t need a U-Net: convolutional feature upsampling for materials micrograph segmentation'. Includes subsets of three existing segmentation datasets with sparse labels:

1) 'Ni_superalloy_SEM': Microstructure segmentation with deep learning encoders pre-trained on a large microscopy dataset, Stuckner, Joshua and Harder, Bryan and Smith, Timothy M., https://doi.org/10.1038/s41524-022-00878-5

2) 'T_cell_TEM': Semi-automatic determination of cell surface areas used in systems biology., Morath, Volker and Keuper, Margret and Rodriguez-Franco, Marta and Deswal, Sumit and Fiala, Gina and Blumenthal, Britta and Kaschek, Daniel and Timmer, Jens and Neuhaus, Gunther and Ehl, Stephan and Ronneberger, Olaf and Schamel, Wolfgang Werner A.m, https://doi.org/10.2741/e635

3) 'Cu_ore_RLM': Deep learning semantic segmentation of opaque and non-opaque minerals from epoxy resin in reflected light microscopy images, Filippo, Michel Pedro and Gomes, Otávio da Fonseca Martins and Costa, Gilson Alexandre Ostwald Pedro da and Mota, Guilherme Lucio Abelha, https://doi.org/10.1016/j.mineng.2021.107007
DOI: 10.34740/kaggle/dsv/12905299
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5517/ccdc.csd.cc2jfb5h
title: CCDC 2336506: Experimental Crystal Structure Determination

description: Related Article: Alvin Q. Meng, Louis A. Diment, Aida Abdi, Veronica J. Hubbs, Elisabeth A. Jeffreys, Madison O’Dell, Xinrui Ou, Kwanwoo A. Park, Brian T. Quillin, Diane A. Dickie|2024|Cryst.Growth Des.|24|4690|doi:10.1021/acs.cgd.4c00309
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jfb6j
title: CCDC 2336507: Experimental Crystal Structure Determination

description: Related Article: Alvin Q. Meng, Louis A. Diment, Aida Abdi, Veronica J. Hubbs, Elisabeth A. Jeffreys, Madison O’Dell, Xinrui Ou, Kwanwoo A. Park, Brian T. Quillin, Diane A. Dickie|2024|Cryst.Growth Des.|24|4690|doi:10.1021/acs.cgd.4c00309
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jfb7k
title: CCDC 2336508: Experimental Crystal Structure Determination

description: Related Article: Alvin Q. Meng, Louis A. Diment, Aida Abdi, Veronica J. Hubbs, Elisabeth A. Jeffreys, Madison O’Dell, Xinrui Ou, Kwanwoo A. Park, Brian T. Quillin, Diane A. Dickie|2024|Cryst.Growth Des.|24|4690|doi:10.1021/acs.cgd.4c00309
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/12905308
title: UNET Lung Segmentation Weights for Chest X Rays