cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14786688
title: UNESCO's Proceedings, 1945-2017: A Bilingual Digital Text Corpus

description: The minutes of the meetings of the General Conference of UNESCO offer a rich resource for research on global themes in the humanities. UNESCO has published the minutes of these meetings (the “verbatim record”) since 1947 in a series called Records of the General Conference: Proceedings. UNESCO makes a portion of the Proceedings volumes available online in PDF form via the UNESDOC digital library. These files make it possible for users to read selected volumes, but they do not allow for full-text searching, much less any more sophisticated computational text analysis methods.

This corpus assembles the texts of the “verbatim record” section from all issues of Proceedings from 1947 to 2017, in English and/or French, generating a text corpus that is machine-readable, accessible, and reusable for digital text analysis.

Proceedings was published in parallel English and French editions from 1947 to 1962. Since then, it has appeared in a single multilingual volume including interventions in UNESCO’s six official languages, four of which (Arabic, Chinese, Russian and Spanish) are translated into either English or French. We deploy a language-recognition algorithm to isolate the text sections in English and French, thus creating a single bilingual corpus of circa 21 millions words that includes all interventions made at these meetings.

Our Proceedings package on GitHub also includes: (1) the corpus, in both English and French; (2) code written to curate the corpus; (3) metadata files identifying each session and meeting; and (4) supplementary materials, such as documentation and quality control files. Our goal in creating this package has been to make this valuable source accessible for new forms of digital research. This corpus is, naturally, a preliminary version. Much work can still be done to fine-tune the language recognition and improve the quality of the corpus as a whole.

The text of Proceedings is available in Open Access under the Attribution-ShareAlike 3.0 IGO (CC-BY-SA 3.0 IGO) license, in the context of UNESCO's open access publications policy. Our corpus is published under the most recent version of the same license: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0 Deed).

This corpus and related materials were developed as part of the research project "International Ideas at UNESCO: Digital Approaches to Global Conceptual History" (INIDUN), led by Benjamin G. Martin at Uppsala University and funded by a grant from the Swedish Research Council (Vetenskapsrådet dnr. 2019-03278), 2020-2024. For more information, see: inidun.github.io, as well as the project repository on GitHub, which includes documentation and files related to the curating process.
DOI: 10.5281/zenodo.14786689
title: UNESCO's Proceedings, 1945-2017: A Bilingual Digital Text Corpus

description: The minutes of the meetings of the General Conference of UNESCO offer a rich resource for research on global themes in the humanities. UNESCO has published the minutes of these meetings (the “verbatim record”) since 1947 in a series called Records of the General Conference: Proceedings. UNESCO makes a portion of the Proceedings volumes available online in PDF form via the UNESDOC digital library. These files make it possible for users to read selected volumes, but they do not allow for full-text searching, much less any more sophisticated computational text analysis methods.

This corpus assembles the texts of the “verbatim record” section from all issues of Proceedings from 1947 to 2017, in English and/or French, generating a text corpus that is machine-readable, accessible, and reusable for digital text analysis.

Proceedings was published in parallel English and French editions from 1947 to 1962. Since then, it has appeared in a single multilingual volume including interventions in UNESCO’s six official languages, four of which (Arabic, Chinese, Russian and Spanish) are translated into either English or French. We deploy a language-recognition algorithm to isolate the text sections in English and French, thus creating a single bilingual corpus of circa 21 millions words that includes all interventions made at these meetings.

Our Proceedings package on GitHub also includes: (1) the corpus, in both English and French; (2) code written to curate the corpus; (3) metadata files identifying each session and meeting; and (4) supplementary materials, such as documentation and quality control files. Our goal in creating this package has been to make this valuable source accessible for new forms of digital research. This corpus is, naturally, a preliminary version. Much work can still be done to fine-tune the language recognition and improve the quality of the corpus as a whole.

The text of Proceedings is available in Open Access under the Attribution-ShareAlike 3.0 IGO (CC-BY-SA 3.0 IGO) license, in the context of UNESCO's open access publications policy. Our corpus is published under the most recent version of the same license: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0 Deed).

This corpus and related materials were developed as part of the research project "International Ideas at UNESCO: Digital Approaches to Global Conceptual History" (INIDUN), led by Benjamin G. Martin at Uppsala University and funded by a grant from the Swedish Research Council (Vetenskapsrådet dnr. 2019-03278), 2020-2024. For more information, see: inidun.github.io, as well as the project repository on GitHub, which includes documentation and files related to the curating process.
DOI: 10.15468/dl.58tkef
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.18_2",
 "TaxonKey is Pristimantis boulengeri (Lynch, 1981)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007328-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14786712
title: Increased senescence and defective mitochondrial function in Alström syndrome
DOI: 10.5281/zenodo.14786713
title: Increased senescence and defective mitochondrial function in Alström syndrome
DOI: 10.6084/m9.figshare.28328648
title: DataShare_RESTtimeseries_480ROIs_92subjects.xlsx

description: File contains time series data extracted from 480 regions-of-interest and resting state fMRI data of 92 participants from Human Connectome Project 100 unrelated subjects’ release.
DOI: 10.6084/m9.figshare.28328648.v1
title: DataShare_RESTtimeseries_480ROIs_92subjects.xlsx

description: File contains time series data extracted from 480 regions-of-interest and resting state fMRI data of 92 participants.
DOI: 10.15468/dl.bzzgk2
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alisma orientale (Sam.) Juz."
 ]
}

 The dataset includes 523 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007330-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14786473
title: Table of Specification for Chemistry Achievement Test for Grade 10
title: TOS for Chemistry Achievement Test

description: The researcher made the Table of Specifications based on the prescribed K to 12 curriculum by the Department of Education of the Republic of the Philippines. The topic of the said TOS was on the Chemistry part of the Grade 10 Science which is on the Behaviors of Gases.
DOI: 10.5281/zenodo.14786474
title: Table of Specification for Chemistry Achievement Test for Grade 10
title: TOS for Chemistry Achievement Test

description: The researcher made the Table of Specifications based on the prescribed K to 12 curriculum by the Department of Education of the Republic of the Philippines. The topic of the said TOS was on the Chemistry part of the Grade 10 Science which is on the Behaviors of Gases.
DOI: 10.15468/dl.q3zrqr
title: Occurrence Download

description: A dataset containing 424699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May, June, July)",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus merula Linnaeus, 1758",
 "Year 2000-2025"
 ]
}

 The dataset includes 424699 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007329-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eeysaw
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 1016a6bc-b032-48d6-9a29-bd01de073a10, 8e1a7b73-e746-4d20-a0ba-e647ce0f9784, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, ae447c50-b8a8-11d8-92a4-b8a03c50a862, c54097e6-0972-4acb-b849-eaeba29c917d, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, bd561840-efdc-11d9-a329-b8a03c50a862, 061b4f20-f241-11da-a328-b8a03c50a862)",
 "TaxonKey is Mauritia flexuosa L.f."
 ]
}

 The dataset includes 86 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007333-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5nvtt
title: Occurrence Download

description: A dataset containing 35055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Anura"
 ]
}

 The dataset includes 35055 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007334-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yaz7kw
title: Occurrence Download

description: A dataset containing 56364 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iguana iguana (Linnaeus, 1758)"
 ]
}

 The dataset includes 56364 records from 479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007335-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swf9u9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "Geometry POLYGON((-76.99883 -12.0613,-77.00142 -12.0637,-76.99937 -12.06764,-76.99459 -12.06541,-76.99558 -12.0622,-76.99883 -12.0613))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 1901-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007673-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k8m93ft9kk
title: Medicinal Leaf Dataset

description: ****Overview of Medicinal Plant Dataset and Its Significance
Mother Earth thrives with an abundance of plant life, many of which play a vital role in health and wellness. These plants serve as essential resources for drug development, herbal product formulation, and treatments for a wide range of ailments. For over 5,000 years, Ayurveda, India’s ancient system of medicine has remained a respected and widely practiced tradition. India, in particular, is home to a rich diversity of medicinal flora.
Various plant parts including leaves, bark, roots, seeds, and fruits are commonly used in the preparation of herbal remedies. These natural medicines are increasingly favoured in both developing and developed nations as alternatives to synthetic drugs, largely due to their minimal side effects.
****Need for Technological Intervention
Identifying medicinal plants by visual inspection alone can be challenging, time-intensive, and prone to error. With many species facing extinction according to IUCN records, leveraging image processing and computer vision technologies becomes essential for accurate identification and conservation. Digitizing medicinal plants is a critical step toward preserving biodiversity.
****Dataset Composition and Collection
To support intelligent recognition systems, a robust dataset of medicinal plant leaves has been curated. This dataset includes 1,010 high-resolution images representing 9 species, with each species contributing between 100 to 120 images. Examples include Piper betle (Betel), Trigonella foenum-graecum (Fenugreek), Bergera koenigii (syn. Murraya koenigii) (Curry Tree), Mentha spp. (e.g., Mentha spicata, Mentha × piperita) (Mint), Senna tora (syn. Cassia tora) (Tora Leaves), Coriandrum sativum (Coriander), Allium cepam (Onion), Raphanus sativus (Radish), Aloe vera (syn. Aloe barbadensis) (Aloe Vera), among others. Each folder is labelled with the plant’s scientific name for clarity.
 Leaves were carefully collected from different plants of the same species found in local gardens, ensuring minimal disruption to the environment. Only healthy, mature leaves were selected, and efforts were made to avoid unnecessary waste. Images were captured using a Nothing mobile of 50 MP OIS camera. To enhance model training, leaf images were slightly rotated and tilted to introduce variability.
Impact on AI Research
This medicinal plant leaf dataset is a valuable resource for developing machine learning and deep learning models. It enables researchers and computer scientists to identify plant species, diagnose diseases, and explore the therapeutic properties of herbs. By making this dataset publicly available, we aim to catalyse research in the field of medicinal botany, addressing the current gap in accessible datasets and fostering innovation in plant-based healthcare solutions.
* Ph.D. work of Ms. Amruta Jadhav 
* Collaborative work of Government College of Engineering, Aurangabad and JSPM University Pune
DOI: 10.17632/k8m93ft9kk.2
title: Medicinal Leaf Dataset

description: ****Overview of Medicinal Plant Dataset and Its Significance
Mother Earth thrives with an abundance of plant life, many of which play a vital role in health and wellness. These plants serve as essential resources for drug development, herbal product formulation, and treatments for a wide range of ailments. For over 5,000 years, Ayurveda, India’s ancient system of medicine has remained a respected and widely practiced tradition. India, in particular, is home to a rich diversity of medicinal flora.
Various plant parts including leaves, bark, roots, seeds, and fruits are commonly used in the preparation of herbal remedies. These natural medicines are increasingly favoured in both developing and developed nations as alternatives to synthetic drugs, largely due to their minimal side effects.
****Need for Technological Intervention
Identifying medicinal plants by visual inspection alone can be challenging, time-intensive, and prone to error. With many species facing extinction according to IUCN records, leveraging image processing and computer vision technologies becomes essential for accurate identification and conservation. Digitizing medicinal plants is a critical step toward preserving biodiversity.
****Dataset Composition and Collection
To support intelligent recognition systems, a robust dataset of medicinal plant leaves has been curated. This dataset includes 1,010 high-resolution images representing 9 species, with each species contributing between 100 to 120 images. Examples include Piper betle (Betel), Trigonella foenum-graecum (Fenugreek), Bergera koenigii (syn. Murraya koenigii) (Curry Tree), Mentha spp. (e.g., Mentha spicata, Mentha × piperita) (Mint), Senna tora (syn. Cassia tora) (Tora Leaves), Coriandrum sativum (Coriander), Allium cepam (Onion), Raphanus sativus (Radish), Aloe vera (syn. Aloe barbadensis) (Aloe Vera), among others. Each folder is labelled with the plant’s scientific name for clarity.
 Leaves were carefully collected from different plants of the same species found in local gardens, ensuring minimal disruption to the environment. Only healthy, mature leaves were selected, and efforts were made to avoid unnecessary waste. Images were captured using a Nothing mobile of 50 MP OIS camera. To enhance model training, leaf images were slightly rotated and tilted to introduce variability.
Impact on AI Research
This medicinal plant leaf dataset is a valuable resource for developing machine learning and deep learning models. It enables researchers and computer scientists to identify plant species, diagnose diseases, and explore the therapeutic properties of herbs. By making this dataset publicly available, we aim to catalyse research in the field of medicinal botany, addressing the current gap in accessible datasets and fostering innovation in plant-based healthcare solutions.
* Ph.D. work of Ms. Amruta Jadhav 
* Collaborative work of Government College of Engineering, Aurangabad and JSPM University Pune
DOI: 10.5281/zenodo.14517143
title: Maple samaras recover autorotation following raindrop collisions
DOI: 10.5281/zenodo.15345197
title: Maple samaras recover autorotation following raindrop collisions
DOI: 10.15468/dl.agv98k
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus caryophyllus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009841-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujk78d
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus caryophyllus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009840-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zvmxnz6gjw
title: Effect of Iron, Cobalt and Copper in Nickel-based bimetal catalysts for CO2 activation - Insights from DFT and DRIFTS

description: Adsorption and activation of CO₂ on different mono- and bimetallic catalysts.
DOI: 10.17632/zvmxnz6gjw.1
title: Effect of Iron, Cobalt and Copper in Nickel-based bimetal catalysts for CO2 activation - Insights from DFT and DRIFTS

description: Adsorption and activation of CO₂ on different mono- and bimetallic catalysts.
DOI: 10.15468/dl.ud4jce
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus caryophyllus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009842-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2skcuk
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Pteris deltodon)"
 ]
}

 The dataset includes 227 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009843-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/22y4cxbsd8.1
title: Material characterization for RC beam-column joints with and without steel fibers

description: This database presents a set of experimental results from a study on the mechanical properties of plain and steel fiber-reinforced concrete.The experimental program included material characterization, testing of fresh concrete, and destructive tests on standard hardened concrete specimens, as well as tensile tests on steel bars..
The results are processed and organized into four primary directories:
1. Beam Data and Photos: This section contains the results from flexural tests performed on concrete beams. The tests were conducted on two distinct groups: beams with steel fibers and beams without steel fibers. For each group, three specimens were tested. The data for each specimen is provided in individual Excel sheets, which include processed data, summarized results, and graphs such as load versus deflection curves. Photographs documenting the failure modes of the flexural specimens are also included.
2. Coarse and Fine Aggregate Characterization and Slump Test Data: This section provides the characterization results for the constituent materials, specifically the coarse and fine aggregates. Furthermore, it includes the results from the slump tests performed to evaluate the workability of the fresh concrete mixtures. All results are compiled into a single Excel sheet containing tabulated data and corresponding analysis.
3. Cylinder Data and Photos: This section contains the results from uniaxial compression tests performed on standard concrete cylinders. The data is categorized into three subsets: cylinders with steel fibers, plain concrete cylinders without fibers, and a comparative dataset analyzing both groups. For each specimen, an Excel file presents the complete test data, including load-deformation curves, stress-strain relationships, and calculated compressive strength. Additional files provide the average results for each group. Photographs illustrating the characteristic failure modes of the cylinders under compression are also provided.
4. Steel Rebar Data and Photos: This section includes the results from tensile tests conducted on the steel reinforcement bars (Bar numbers 3, 4, and 6). For each bar size, an Excel file contains the processed test data, graphs of stress versus strain, and the calculated mechanical properties, such as yield strength, ultimate tensile strength, and elongation. A separate folder contains photographic evidence of the steel specimens before and after testing.
DOI: 10.15468/dl.arxgyu
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (vertebrados), Aves y mamíferos del Parque Nacional Sierra de Órganos, Zacatecas)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, ff90b050-c256-11db-b71b-b8a03c50a862)",
 "TaxonKey is Rattus norvegicus",
 "Year 2000-2025"
 ]
}

 The dataset includes 151 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009845-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.