cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15025793
title: Developer Activity Dataset

description: This dataset was created to study developer expertise and ranking in open-source projects, based on contributions, interactions, and technical proficiency. It includes developer activity from the top 10 trending Python repositories on GitHub, capturing key metrics such as:



Zipf’s Law (Syntax Proficiency) – Measures a developer's familiarity with programming constructs.

Degree of Knowledge (DoK) – Represents expertise based on long-term engagement in a project.

Network Centrality – Evaluates a developer's collaborative influence within the repository.


The dataset is structured to support research in expertise evaluation, software engineering analytics, and developer collaboration.
DOI: 10.34992/p79c-fv35
title: Southern Hudson Bay - James Bay Rosette CTD Data 2022
DOI: 10.15468/dl.x4wkkq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oomyzus gallerucae (Fonscolombe, 1832)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008842-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8138904
title: ShareTrait: a data portal for making trait data interoperable and reusable

description: Data files and code supporting analyses, figures and tables of this study are publicly available on GitHub (https://github.com/ShareTraitProject/ShareTrait). When using the data or code from this database, please cite it as: Leiva FP, Barneche D, Blackburn T, Castañeda L, Chown S, Gaitán-Espitia JD, Gebauer P, Gomez Isaza DF, Hardy ICW, Hermaniuk A, Hirst A, Jorissen S, Keasar T, Koene J, Le Lann C, Molinet C, Niklitschek EJ, Oliveira B, Orizaola G, Pilakouta N, Shameer KS, Shokri M, Stoks R, Tougeron K, Tuni C, van de Pol ILE, van Dis NE, Visser B, Vogels J, White CR, Wu N, Berg MP, Ellers J and Verberk WCEP. (2023). ShareTrait: a data portal for making trait data interoperable and reusable. Zenodo (v1.0.0). https://doi.org/10.5281/zenodo.8138904.
DOI: 10.5281/zenodo.14826294
title: ShareTrait: a data portal for making trait data interoperable and reusable

description: Scope

This dataset provides the SQL version of the ShareTrait database, corresponding to ShareTrait version 1.2.0. It represents the structured database equivalent of the previously published dataset, ShareTrait: a data portal for making trait data interoperable and reusable, version 1.0.0 (Zenodo, July 12, 2023, DOI: 10.5281/zenodo.8138904). This version includes the database file, an SQL query, and the resulting output file generated from the SQL query. 

Dataset content

The repository provides:



ShareTrait-database-v1.2.0.db : the database file.

master-query-all.sql : SQL query used for reconstructing the dataset.

master-query-output.csv : SQL query output file .

ShareTrait-dataset-database-mapping.csv : mapping of attribute fields from the SQL query output to the corresponding attributes in ShareTrait_MetaData_v1.0.0.csv, with relevant column name = "Column_name", version 1.0.0 (DOI: 10.5281/zenodo.8138904)


Access and usage

Files and documentation are available on GitHub: ShareTrait Project. Users can execute the SQL query by using either SQLiteStudio or SQLite3. Detailed instructions are provided in this repository README.

Citation

When using this dataset, please provide the following citation:

Leiva, F., Ellers, J., Berg, M. P., Cuxart-Erruz, R., Barneche, D., Blackburn, T., Castañeda, L. E., Chown, S., Gaitán-Espitia, J. D., Gebauer Mery, P. H., Gomez Isaza, D., Hardy, I., Hermaniuk, A., Hirst, A., Jorissen, S., Keasar, T., Koene, J. M., Le Lann, C., Martorelli, I., Molinet C., Niklitschek E.J., Oliveira B., Olivier B., Orizaola G., Pilakouta N., Shameer K.S., Shokri M., Stoks R., Tougeron K., Tuni C., van de Pol I.L.E., van Dis N.E., Visser B., Vogels J., White C.R., Wu N., and Verberk W. (2025). ShareTrait: a data portal for making trait data interoperable and reusable (version 1.2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14826294

For further information, please contact: i.martorelli@vu.nl
DOI: 10.5281/zenodo.8138903
title: ShareTrait: a data portal for making trait data interoperable and reusable

description: Scope

This dataset provides the SQL version of the ShareTrait database, corresponding to ShareTrait version 1.2.0. It represents the structured database equivalent of the previously published dataset, ShareTrait: a data portal for making trait data interoperable and reusable, version 1.0.0 (Zenodo, July 12, 2023, DOI: 10.5281/zenodo.8138904). This version includes the database file, an SQL query, and the resulting output file generated from the SQL query. 

Dataset content

The repository provides:



ShareTrait-database-v1.2.0.db : the database file.

master-query-all.sql : SQL query used for reconstructing the dataset.

master-query-output.csv : SQL query output file .

ShareTrait-dataset-database-mapping.csv : mapping of attribute fields from the SQL query output to the corresponding attributes in ShareTrait_MetaData_v1.0.0.csv, with relevant column name = "Column_name", version 1.0.0 (DOI: 10.5281/zenodo.8138904)


Access and usage

Files and documentation are available on GitHub: ShareTrait Project. Users can execute the SQL query by using either SQLiteStudio or SQLite3. Detailed instructions are provided in this repository README.

Citation

When using this dataset, please provide the following citation:

Leiva, F., Ellers, J., Berg, M. P., Cuxart-Erruz, R., Barneche, D., Blackburn, T., Castañeda, L. E., Chown, S., Gaitán-Espitia, J. D., Gebauer Mery, P. H., Gomez Isaza, D., Hardy, I., Hermaniuk, A., Hirst, A., Jorissen, S., Keasar, T., Koene, J. M., Le Lann, C., Martorelli, I., Molinet C., Niklitschek E.J., Oliveira B., Olivier B., Orizaola G., Pilakouta N., Shameer K.S., Shokri M., Stoks R., Tougeron K., Tuni C., van de Pol I.L.E., van Dis N.E., Visser B., Vogels J., White C.R., Wu N., and Verberk W. (2025). ShareTrait: a data portal for making trait data interoperable and reusable (version 1.2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14826294

For further information, please contact: i.martorelli@vu.nl
DOI: 10.5517/ccdc.csd.cc2kh6x6
title: CCDC 2368118: Experimental Crystal Structure Determination

description: Related Article: Zhenyu Shi, Qian Zhang, Xia Yu, Yuguo Zheng, Qingqing Guo, Chengjiang Fang, Wei Yi|2025|J.Mol.Struct.|1321|139822|doi:10.1016/j.molstruc.2024.139822
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.cc2kh6y7
title: CCDC 2368119: Experimental Crystal Structure Determination

description: Related Article: Zhenyu Shi, Qian Zhang, Xia Yu, Yuguo Zheng, Qingqing Guo, Chengjiang Fang, Wei Yi|2025|J.Mol.Struct.|1321|139822|doi:10.1016/j.molstruc.2024.139822
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: 10.5284/1128389
title: Data from a Trial Trenching from Park Lane Spinney to River Blythe, Hampton in Arden, Solihull, West Midlands, 2019-2023 (HS2 Phase One)

description: This collection comprises of image, report, site record, spreadsheet and GIS data from Trial Trenching work from Park Lane Spinney to River Blythe, Hampton in Arden, Solihull, West Midlands.The archaeological trial trenching evaluation was carried out by Connect Archaeology from 28th January to 5th May 2019.
DOI: 10.15468/dl.uduvf4
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "StateProvince is one of (burgos, Palencia, Segovia)",
 "TaxonKey is Cervus elaphus Linnaeus, 1758"
 ]
}

 The dataset includes 242 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008843-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25377/sussex.28124480
title: Data for paper: Four-Center, Multi-Electron Bonding in Rare-Earth Germole Sandwich Complexes

description: Data for paper published in <i>Angewandte Chemie </i>(12.03.2025)<br><br>CIF files for all compounds.EPR spectroscopy data for all compounds.<br>Magnetism data for all compounds.<br><b>Abstract</b><br><br>Reduction of the germole-ligated sandwich complexes [(η5-CpGe)M(η5-Cpttt)]2 (1M, M = Y, Gd, Dy) with one or two equivalents of KC8/2.2.2-cryptand produces [(η5-CpGe)M(η5-Cpttt)2]– (2M) and [(η5-CpGe)M(η5-Cpttt)2]2– (3M), respectively, as salts of [K(2.2.2-cryptand)]+ (CpGe = [GeC4-2,5-(SiMe3)2-3,4-Me2]2–, Cpttt = 1,2,4-C5tBu3H2. X-Ray crystallography shows that the bond lengths within the central {M2Ge2} rings contract markedly with each reduction. Computational analysis reveals the presence of unusual four-centre, multi-electron {M2Ge2} bonds, with the reduction increasing the germanium-germanium and metal-germanium bond orders, whilst reducing the metal-Cpttt bond order. Analysis of 2Y by EPR spectroscopy reveals delocalization of the unpaired spin across both yttrium centres. Magnetic measurements on radical-bridged 2Gd show a large exchange coupling constant of –95 cm–1 (–2J formalism). Single-molecule magnet behaviour is found for the dysprosium-germole complexes. Complexes 1Y, 2Y and 3Y can be interconverted by one-electron oxidation or reduction reactions of 2Y, which itself can also be formed by comproportionation of 1Y and 3Y. The masked divalent reactivity of 3Y is demonstrated through one-electron reduction of 2,2'-bipyridyl to give [(η5-CpGe)Y(η5-Cpttt)(2,2'-bipy)]– (4Y) and activation of Ph2Se2 to give [(η5-CpGe)Y(η5-Cpttt)(SePh)]– (5Y).
DOI: 10.25377/sussex.28124480.v1
title: Data for paper: Four-Center, Multi-Electron Bonding in Rare-Earth Germole Sandwich Complexes

description: Data for paper published in <i>Angewandte Chemie </i>(12.03.2025)<br><br>CIF files for all compounds.EPR spectroscopy data for all compounds.<br>Magnetism data for all compounds.<br><b>Abstract</b><br><br>Reduction of the germole-ligated sandwich complexes [(η5-CpGe)M(η5-Cpttt)]2 (1M, M = Y, Gd, Dy) with one or two equivalents of KC8/2.2.2-cryptand produces [(η5-CpGe)M(η5-Cpttt)2]– (2M) and [(η5-CpGe)M(η5-Cpttt)2]2– (3M), respectively, as salts of [K(2.2.2-cryptand)]+ (CpGe = [GeC4-2,5-(SiMe3)2-3,4-Me2]2–, Cpttt = 1,2,4-C5tBu3H2. X-Ray crystallography shows that the bond lengths within the central {M2Ge2} rings contract markedly with each reduction. Computational analysis reveals the presence of unusual four-centre, multi-electron {M2Ge2} bonds, with the reduction increasing the germanium-germanium and metal-germanium bond orders, whilst reducing the metal-Cpttt bond order. Analysis of 2Y by EPR spectroscopy reveals delocalization of the unpaired spin across both yttrium centres. Magnetic measurements on radical-bridged 2Gd show a large exchange coupling constant of –95 cm–1 (–2J formalism). Single-molecule magnet behaviour is found for the dysprosium-germole complexes. Complexes 1Y, 2Y and 3Y can be interconverted by one-electron oxidation or reduction reactions of 2Y, which itself can also be formed by comproportionation of 1Y and 3Y. The masked divalent reactivity of 3Y is demonstrated through one-electron reduction of 2,2'-bipyridyl to give [(η5-CpGe)Y(η5-Cpttt)(2,2'-bipy)]– (4Y) and activation of Ph2Se2 to give [(η5-CpGe)Y(η5-Cpttt)(SePh)]– (5Y).
DOI: 10.15468/dl.6gdkwh
title: Occurrence Download

description: A dataset containing 9140 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-76.67814 3.73427,-76.64816 3.73427,-76.64816 3.76818,-76.67814 3.76818,-76.67814 3.73427))"
 ]
}

 The dataset includes 9140 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008844-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5apw8
title: Occurrence Download

description: A dataset containing 48311 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 Andropogon gayanus Kunth"
 ]
}

 The dataset includes 48311 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008847-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cs3dd
title: Occurrence Download

description: A dataset containing 18188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnothorax vicinus (Castelnau, 1855)"
 ]
}

 The dataset includes 18188 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008848-250310093411724/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.28408665
title: Patient and caregiver insights into lung cancer treatment decision-making: an exploratory focus group

description: We describe discussions about the lung cancer treatment decision-making process across the patient journey from the perspective of patients and caregivers with diverse experiences of living with lung cancer. Patient preference studies show individuals with lung cancer usually favor more aggressive treatments despite adverse events (AEs), in pursuit of better survival. However, patients are frequently passive in treatment decisions, suggesting there are barriers impairing patients’ abilities to engage in shared decision-making. To explore this further, we asked patients with epidermal growth factor receptor-positive lung cancer and their caregivers to complete surveys and participate in focus group discussions facilitated by research specialists. US patients with lung cancer (<i>n</i> = 11) and caregivers (<i>n</i> = 4) took part in exploratory focus groups. While initial treatment decisions were mostly led by healthcare providers, participants became more engaged in their treatment over time. As in other studies, participants prioritized survival over AEs when selecting treatments and shared fears of being switched to less efficacious treatments or reduced dose if they disclosed AEs. Participants emphasized the importance of shared decision-making, early discussions about AEs, and access to patient advocates. Healthcare providers should distribute reliable educational materials and have early conversations with patients on individual lung cancer treatment, health-related quality of life goals, potential AEs, and distinguishing AEs from disease progression symptoms.
DOI: 10.6084/m9.figshare.28523005
title: Tele-patient-reported outcome measures (telePROM) in follow-up of endometriosis: a validity and test-retest reliability study of an endometriosis-specific questionnaire (EQ)

description: Patient-Reported Outcome (PRO) measures supported by a severity algorithm may serve as a decision aid for triage and consultation in follow-up of patients with endometriosis. In a new follow-up regime, patients filled out an endometriosis-specific questionnaire (EQ) at home before outpatient consultation (tele-Patient-Reported Outcome Measures; telePROM). A severity algorithm was assigned patients’ answers using a color code thereby reflecting the need of clinical attention. Our study aimed to assess the test-retest reliability of the severity algorithm and of the single items as well as to evaluate the face- and content validity of the EQ. The study was carried out in a referral endometriosis clinic at a Danish University Hospital. The validation was based on an initial version of the EQ, which was adjusted simultaneously with its severity algorithm, to meet the purpose of this study. Reliability was assessed by a test-retest setting of the questionnaire including patients with endometriosis, ≥ 18 years and Danish speaking. Kappa statistics and interclass correlation analyses were applied to assess test-retest reliability. Face- and content validity was explored by focus group interviewing of patients. In total, 14 patients answered the questionnaire twice. Results indicate that the EQ demonstrated substantial reliability in three out of five domain indicators in the severity algorithm and 65% of items with kappa values above 0.60. Further, focus-group interview of five patients resulted in adding an open-ended question regarding important issues to discuss at the consultation. TelePROM in outpatient follow-up of endometriosis is feasible as patients viewed the questionnaire relevant for their clinical follow-up. Yet, due to the small sample size results should be interpreted with caution. Further validation of the EQ is recommended.
DOI: 10.6084/m9.figshare.28523005.v1
title: Tele-patient-reported outcome measures (telePROM) in follow-up of endometriosis: a validity and test-retest reliability study of an endometriosis-specific questionnaire (EQ)

description: Patient-Reported Outcome (PRO) measures supported by a severity algorithm may serve as a decision aid for triage and consultation in follow-up of patients with endometriosis. In a new follow-up regime, patients filled out an endometriosis-specific questionnaire (EQ) at home before outpatient consultation (tele-Patient-Reported Outcome Measures; telePROM). A severity algorithm was assigned patients’ answers using a color code thereby reflecting the need of clinical attention. Our study aimed to assess the test-retest reliability of the severity algorithm and of the single items as well as to evaluate the face- and content validity of the EQ. The study was carried out in a referral endometriosis clinic at a Danish University Hospital. The validation was based on an initial version of the EQ, which was adjusted simultaneously with its severity algorithm, to meet the purpose of this study. Reliability was assessed by a test-retest setting of the questionnaire including patients with endometriosis, ≥ 18 years and Danish speaking. Kappa statistics and interclass correlation analyses were applied to assess test-retest reliability. Face- and content validity was explored by focus group interviewing of patients. In total, 14 patients answered the questionnaire twice. Results indicate that the EQ demonstrated substantial reliability in three out of five domain indicators in the severity algorithm and 65% of items with kappa values above 0.60. Further, focus-group interview of five patients resulted in adding an open-ended question regarding important issues to discuss at the consultation. TelePROM in outpatient follow-up of endometriosis is feasible as patients viewed the questionnaire relevant for their clinical follow-up. Yet, due to the small sample size results should be interpreted with caution. Further validation of the EQ is recommended.
DOI: 10.15156/bio/sh1097464.10fu
title: SH1097464.10FU

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/sh1097466.10fu
title: SH1097466.10FU

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/sh1097468.10fu
title: SH1097468.10FU

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.