cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc11p4tp
title: CCDC 973642: Experimental Crystal Structure Determination

description: Related Article: M.Shaughnessy, A.Harsanyi, J.Li, T.Bright, C.D.Murphy and G.Sandford|2024|CSD Communication|||
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.cc1mb335
title: CCDC 1499256: Experimental Crystal Structure Determination

description: Related Article: Schirin Hanf, Peter Matthews, Ning Li, He-Kuan Luo, Dominic Wright|2024|CSD Communication|||
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.cc1ndg4n
title: CCDC 1531311: Experimental Crystal Structure Determination

description: Related Article: Andrey A. Bezrukov, Karl Wilhelm Törnroos, Pascal D. C. Dietzel*|2024|CSD Communication|||
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.cc1yxssf
title: CCDC 1815136: Experimental Crystal Structure Determination

description: Related Article: Taijie Guo|2024|CSD Communication|||
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: 10.15468/dl.p8cs3m
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus convallata Trel.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015514-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5k6nr6
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis rufus Audubon & Bachman, 1851"
 ]
}

 The dataset includes 865 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015515-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqsqrv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus conzattii Trel.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015516-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14809775
title: Data and code to plot figures for "Climate change alters the Indian Ocean Dipole and weakens its North Atlantic teleconnection"
DOI: 10.5281/zenodo.14809776
title: Data and code to plot figures for "Climate change alters the Indian Ocean Dipole and weakens its North Atlantic teleconnection"
DOI: 10.15468/dl.v5u3zj
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carybdea marsupialis (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 99 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015517-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hum4fy
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus corrugata Hook.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015518-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14770577
title: Dataset for "Good practice versus reality: A landscape analysis of Research Software metadata adoption in European Open Science Clusters"

description: This dataset was collected using this GitHub repository Repositories-Extraction, collected the links to the repositories from each scientific cluster, and using the GitHub repository Metadata-Extraction, we were able to extract the relevant information needed to answer our research questions (RQ):



RQ1: How do communities describe Research Software metadata in their code repositories?

RQ2: What is the adoption of archival infrastructures across disciplines?

RQ3: How do software projects adopt versioning?

RQ4: How comprehensive is the metadata provided in code repositories? Specifically:



What is the adoption of open licenses?

Do research projects include a description?

How well documented are research projects? (i.e., in terms of installation instructions, requirements and documentation availability



RQ5: What are the most common citation practices among communities?


The dataset has two types of information, for example for one cluster we can say "ENVRI", for each RQ you will find "analysis_envri_rq1.json" which contains the information extracted using SOMEF and processed to extract the relevant information, and you will find "results_envri_rq1.json" which is the calculations of the percentages of each relevant files to the RQ.
DOI: 10.5281/zenodo.14770578
title: Dataset for "Good practice versus reality: A landscape analysis of Research Software metadata adoption in European Open Science Clusters"

description: This dataset was collected using this GitHub repository Repositories-Extraction, collected the links to the repositories from each scientific cluster, and using the GitHub repository Metadata-Extraction, we were able to extract the relevant information needed to answer our research questions (RQ):



RQ1: How do communities describe Research Software metadata in their code repositories?

RQ2: What is the adoption of archival infrastructures across disciplines?

RQ3: How do software projects adopt versioning?

RQ4: How comprehensive is the metadata provided in code repositories? Specifically:



What is the adoption of open licenses?

Do research projects include a description?

How well documented are research projects? (i.e., in terms of installation instructions, requirements and documentation availability



RQ5: What are the most common citation practices among communities?


The dataset has two types of information, for example for one cluster we can say "ENVRI", for each RQ you will find "analysis_envri_rq1.json" which contains the information extracted using SOMEF and processed to extract the relevant information, and you will find "results_envri_rq1.json" which is the calculations of the percentages of each relevant files to the RQ.
DOI: 10.5281/zenodo.14809959
title: Dataset related to article: Quantitative Tractography-Based Evaluations in Essential Tremor Patients after MRgFUS Thalamotomy.

description: QUANTITATIVE AND STATISTICAL ASSESSMENTS ON VOLUME, TARGET POSITION AND INTERSECTION WITH THE DENTATORUBROTHALIMIC AND CORTICOSPINAL FASCIA
DOI: 10.5281/zenodo.14809960
title: Dataset related to article: Quantitative Tractography-Based Evaluations in Essential Tremor Patients after MRgFUS Thalamotomy.

description: QUANTITATIVE AND STATISTICAL ASSESSMENTS ON VOLUME, TARGET POSITION AND INTERSECTION WITH THE DENTATORUBROTHALIMIC AND CORTICOSPINAL FASCIA
DOI: 10.15468/dl.njr3pc
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus cortesii Liebm.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015519-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssr2je
title: Occurrence Download

description: A dataset containing 2665 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bonasus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2665 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015520-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/d3372
title: Dataset for the thesis 'Polyoxometalate nanoscale electronic devices'

description: All the data used when writing my PhD thesis.
Each folder contains all the data for 1 chapter and a jupyter notebook with the python scripts to plot each graph. Inside of those are folder containing the data for each figure.
DOI: 10.15468/dl.4wbaym
title: Occurrence Download

description: A dataset containing 3955 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Type Collection of the National Herbarium of Uzbekistan (TASH)"
 ]
}

 The dataset includes 3955 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015521-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14809998
title: Global Online Exhibition Platforms Market 2025 To 2034

description: Online Exhibition Platforms Market Size, Trends and Insights By Component (Platform, Services), By Deployment Model (Cloud-based, On-premise), By Functionality (Basic, Advanced, 3D Virtual Exhibition Platforms), By End User (Trade Shows & Conferences, Corporations & Businesses, Educational Institutions, Non-Profit Organizations), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025-2034.

Reports Description

As per the current market research conducted by the CMI Team, the global Online Exhibition Platforms Market is expected to record a CAGR of 15.4% from 2025 to 2035. In 2025, the market size is projected to reach a valuation of USD 16,326.66 Million. By 2035, the valuation is anticipated to reach USD 57,435.17 Million.

The Online Exhibition Platforms market refers to digital platforms facilitating the display, sale, and discovery of artworks online. Its nature encompasses a fusion of art and technology, offering artists and galleries a virtual space to showcase their work to a global audience.

Key trends include the adoption of immersive technologies like augmented reality, the integration of AI for personalized recommendations, and the emergence of blockchain for secure transactions and provenance verification, all aimed at enhancing user engagement and accessibility to art.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51010
DOI: 10.5281/zenodo.14809999
title: Global Online Exhibition Platforms Market 2025 To 2034

description: Online Exhibition Platforms Market Size, Trends and Insights By Component (Platform, Services), By Deployment Model (Cloud-based, On-premise), By Functionality (Basic, Advanced, 3D Virtual Exhibition Platforms), By End User (Trade Shows & Conferences, Corporations & Businesses, Educational Institutions, Non-Profit Organizations), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025-2034.

Reports Description

As per the current market research conducted by the CMI Team, the global Online Exhibition Platforms Market is expected to record a CAGR of 15.4% from 2025 to 2035. In 2025, the market size is projected to reach a valuation of USD 16,326.66 Million. By 2035, the valuation is anticipated to reach USD 57,435.17 Million.

The Online Exhibition Platforms market refers to digital platforms facilitating the display, sale, and discovery of artworks online. Its nature encompasses a fusion of art and technology, offering artists and galleries a virtual space to showcase their work to a global audience.

Key trends include the adoption of immersive technologies like augmented reality, the integration of AI for personalized recommendations, and the emergence of blockchain for secure transactions and provenance verification, all aimed at enhancing user engagement and accessibility to art.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51010
DOI: 10.15468/dl.cxbwvu
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus crassifolia Bonpl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 413 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015522-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48328/tudatalib-1658
title: Supporting Data for 'Ion-specific Stability of Gold Nanoparticle Suspensions'

description: The data consist of photos and UVvis absorption spectra of suspensions of gold nanoparticles (AuNPs) containing various sodium salts of different concentrations. The data are collected in 5 archives. The UVvis spectra are in one archive separated in four sub-directories, one for each AuNP type and one for salt-free suspensions. For each AuNP type spectra are collected in subfolders labeled by the aging time, 0 h, ... 72 h. Each spectrum (one AuNP type, one ion type, one salt concentration) is a separate csv-file with wavelength in the first column and corresponding absorption in the second column. The name of the files indicates the included anion and the salt concentration in mM. The salt-free spectra only contain info about the particle type (L and S for large and small; both with citrate capping) and the relative concentration of AuNPs (1.0 corresponding to the AuNP concentration in the salt-containing samples). The photos are divided into 4 archives, one for each AuNP type containing the photos for salt concentrations of 10 mM, 25 mM, and 50 mM, and a fourth with the photos of all AuNP types at 100 mM salt concentration. Photos were taken every 15 min. For better findability they are explicitly named for all times for which data is shown in the publication. Photos always have the same structure: suspensions with the same salt concentration are grouped together (into groups of 5 cuvettes, one for each salt). Usually, three groups are in one photo, which are the same AuNP type and increasing salt concentration from left to right. Only for the 100 mM salt concentration photos the groups are the different AuNP types. In that case, the photo name relates the groups to the AuNP type.
DOI: 10.15468/dl.tt7qzu
title: Occurrence Download

description: A dataset containing 2187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Marine Nature Conservation Review (MNCR) and associated benthic marine data held and managed by JNCC",
 "TaxonKey is Laminaria digitata (Huds.) J.V.Lamour."
 ]
}

 The dataset includes 2187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015523-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14809674
title: Microdata used for the development of the study on intergenerational perspectives on climate change.

description: Name: Microdata used for the development of the study on intergenerational perspectives on climate change.

Summary: This dataset contains answers from different age groups about their initiatives, preferences and visions with regard to climate change adaptation.

License: cc-BY-SA

Acknowledge: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.

Disclaimer: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European Commission (EC). EASME or the Ec are not responsible for any use that may be made of the information contained therein.

Collection Date: 08/02/2023

Publication Date: 05/02/2025

DOI: 10.5281/zenodo.14809675

Other repositories:

Author: University of Deusto

Objective of collection: This data was originally collected to analyse the different climate change prospects between generations 

Description:



File 1 - answers taggedThe following document lists the answers received by each participant, showing the label(s) assigned to each participant per question. The answers have been collected qualitatively and semi-quantified by means of a human process with the participation of two researchers from the group. Each user was able to give more than one answer to the same question, which is why some participants came up more than once.

File 2 - summary based on gender and generationThe following document summarises the response data obtained, based on labels, generations and gender.



5 star: ⭐⭐

Preprocessing steps: Data transcription from written documents and oral discussions.

Reuse: NA

Update policy: No more updates are planned.

Ethics and legal aspects: Names of the persons involved have been removed. 

Technical aspects: 

Other:
DOI: 10.5281/zenodo.14809675
title: Microdata used for the development of the study on intergenerational perspectives on climate change.

description: Name: Microdata used for the development of the study on intergenerational perspectives on climate change.

Summary: This dataset contains answers from different age groups about their initiatives, preferences and visions with regard to climate change adaptation.

License: cc-BY-SA

Acknowledge: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.

Disclaimer: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European Commission (EC). EASME or the Ec are not responsible for any use that may be made of the information contained therein.

Collection Date: 08/02/2023

Publication Date: 05/02/2025

DOI: 10.5281/zenodo.14809675

Other repositories:

Author: University of Deusto

Objective of collection: This data was originally collected to analyse the different climate change prospects between generations 

Description:



File 1 - answers taggedThe following document lists the answers received by each participant, showing the label(s) assigned to each participant per question. The answers have been collected qualitatively and semi-quantified by means of a human process with the participation of two researchers from the group. Each user was able to give more than one answer to the same question, which is why some participants came up more than once.

File 2 - summary based on gender and generationThe following document summarises the response data obtained, based on labels, generations and gender.



5 star: ⭐⭐

Preprocessing steps: Data transcription from written documents and oral discussions.

Reuse: NA

Update policy: No more updates are planned.

Ethics and legal aspects: Names of the persons involved have been removed. 

Technical aspects: 

Other:
DOI: 10.15468/dl.zgfak2
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus crassipes Bonpl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 94 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015524-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.