cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccy83kv
title: CCDC 871737: Experimental Crystal Structure Determination

description: Related Article: T.M.Klapotke, D.G.Piercey, J.Stierstorfer|2012|Dalton Trans.|41|9451|doi:10.1039/c2dt30684k
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/ccy83lw
title: CCDC 871738: Experimental Crystal Structure Determination

description: Related Article: T.M.Klapotke, D.G.Piercey, J.Stierstorfer|2012|Dalton Trans.|41|9451|doi:10.1039/c2dt30684k
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/ccy83mx
title: CCDC 871739: Experimental Crystal Structure Determination

description: Related Article: T.M.Klapotke, D.G.Piercey, J.Stierstorfer|2012|Dalton Trans.|41|9451|doi:10.1039/c2dt30684k
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: 10.13140/rg.2.2.36181.74727
title: Moluscos ibéricos. Material docente: Eobania vermiculata
DOI: 10.5517/ccxtrhy
title: CCDC 858901: Experimental Crystal Structure Determination

description: Related Article: Xin-E Duan, Shi-Fang Yuan, Hong-Bo Tong, Sheng-Di Bai, Xue-Hong Wei, Dian-Sheng Liu|2012|Dalton Trans.|41|9460|doi:10.1039/c2dt30463e
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/ccxtrjz
title: CCDC 858902: Experimental Crystal Structure Determination

description: Related Article: Xin-E Duan, Shi-Fang Yuan, Hong-Bo Tong, Sheng-Di Bai, Xue-Hong Wei, Dian-Sheng Liu|2012|Dalton Trans.|41|9460|doi:10.1039/c2dt30463e
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.3rx53g
title: Occurrence Download

description: A dataset containing 452 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 Carex tristachya Thunb.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 452 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017852-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsvtu3
title: Occurrence Download

description: A dataset containing 107172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus coccifera L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 107172 records from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017838-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16919653
title: The Basel Land Records Ground Truth: An Annotated Dataset for Information Extraction on German-language Administrative Records.

description: We present a dataset based on the Historical Land Records of Basel, covering the period 1400–1700. The dataset comprises 829 source excerpts in premodern German containing more than 50,000 tokens and 30,000 annotations. The annotations capture nested entities, events, and relations, reflecting complex interactions between actors and properties. Over two-thirds of entity references are nested within others, providing rich material for training and evaluating models in nested sequence tagging, low-resource named entity recognition, and noise-tolerant NLP. The dataset may also support the development of generalized models for premodern German. The dataset is stored on Zenodo, and provided in TEI and XML formats. 

The source corpus from which this data set was created - The Historical Land Records of Basel - has been a rich collection of information for researchers of history, economy and sociology since a long time.

This dataset was created as part of the research project Economies of Space . The project aims to research strategies on how to best access a large scale corpus such as the central Historical Land Records of Basel, deal with premodern German and produce analysis from a historians perspective.
DOI: 10.5281/zenodo.17492410
title: FRA-RIG Breast Cancer (sklearn demo): block-weighted risk scoring

description: Research-only model weights (joblib) and calibration report (JSON) for the RIG–FRA breast cancer risk scorer.

Data: sklearn.load_breast_cancer.

5-fold CV (avg): ACC 0.967 | ROC-AUC 0.989 | PR-AUC 0.990 | F1 0.973.Youden threshold: 0.643.

Files:

fra_rig_breast.joblib — trained system (prep + weights + calibrated head)

fra_rig_report.json — CV metrics summary

(optional) example inference output (CSV/JSONL)

FRA-RIG-breast-code-v1.0.0.zip — source code (MIT). Mirrors GitHub release v1.0.0.Quick run: pip install -r requirements.txt → python predict_demo.pyRepo: https://github.com/AdmailFRA/FRA-RIG-breast

License: CC BY 4.0 for model weights and report; MIT for code archive.Disclaimer: research only, not for clinical or diagnostic use.
DOI: 10.5281/zenodo.17489821
title: FRA-RIG Breast Cancer (sklearn demo): block-weighted risk scoring

description: Research-only model weights (joblib) and calibration report (JSON) for the RIG–FRA breast cancer risk scorer.

Data: sklearn.load_breast_cancer.

5-fold CV (avg): ACC 0.967 | ROC-AUC 0.989 | PR-AUC 0.990 | F1 0.973.Youden threshold: 0.643.

Files:

fra_rig_breast.joblib — trained system (prep + weights + calibrated head)

fra_rig_report.json — CV metrics summary

(optional) example inference output (CSV/JSONL)

FRA-RIG-breast-code-v1.0.0.zip — source code (MIT). Mirrors GitHub release v1.0.0.Quick run: pip install -r requirements.txt → python predict_demo.pyRepo: https://github.com/AdmailFRA/FRA-RIG-breast

License: CC BY 4.0 for model weights and report; MIT for code archive.Disclaimer: research only, not for clinical or diagnostic use.
DOI: 10.3886/e242300
title: Confluence University of Science and Technology, Osara 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Confluence University of Science and Technology, Osara 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.76wrxn
title: Occurrence Download

description: A dataset listing the 584 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.25 31.533,-95.22 31.533,-95.22 31.56,-95.25 31.56,-95.25 31.533))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 584 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070989-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tar995
title: Occurrence Download

description: A dataset containing 246855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is Hong Kong",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.HKG",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2024-2025"
 ]
}

 The dataset includes 246855 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070986-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd7gh3
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Ctenoptilum vasava"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070993-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18130783
title: Audiovisual Analysis of Journal Digital

description: Automated extraction and analysis of audio-visual co-occurrences in video data

using deep learning models.

 

## Overview

 

This project analyzes temporal co-occurrences of audio and visual features in

videos:

- Audio extraction : Uses MIT's Audio Spectrogram Transformer (AST) to

classify audio content

- Visual extraction : Uses Moondream vision model for object detection in

frames

- Pairing analysis : Identifies audio-visual co-occurrences with temporal

alignment

- Temporal analysis : Tracks changes in audio-visual patterns across years

 

## Structure

 

- src.zip  : The source code for the library

- results.zip  : The .csv outputs

- moon_results.tar.gz : Results from the Visual extraction pipeline

- audio_results.tar.gz : Results forom the Audio extraction pipeline
DOI: 10.5281/zenodo.18130784
title: Audiovisual Analysis of Journal Digital

description: Automated extraction and analysis of audio-visual co-occurrences in video data

using deep learning models.

 

## Overview

 

This project analyzes temporal co-occurrences of audio and visual features in

videos:

- Audio extraction : Uses MIT's Audio Spectrogram Transformer (AST) to

classify audio content

- Visual extraction : Uses Moondream vision model for object detection in

frames

- Pairing analysis : Identifies audio-visual co-occurrences with temporal

alignment

- Temporal analysis : Tracks changes in audio-visual patterns across years

 

## Structure

 

- src.zip  : The source code for the library

- results.zip  : The .csv outputs

- moon_results.tar.gz : Results from the Visual extraction pipeline

- audio_results.tar.gz : Results forom the Audio extraction pipeline
DOI: 10.3886/e242302
title: Delta University of Science and Technology, Ozoro 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Delta University of Science and Technology, Ozoro 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.17294343
title: The Magnetic Signature of Stress in Rocks

description: Magnetic signatures preserved in rocks have long provided insight into Earth’s evolution, revealing processes from plate tectonics to the habitability of Earth. While large impacts are known to impose extreme stresses (>1 GPa) and heat that fundamentally alters magnetic records, lower stresses typical of earthquakes have been considered magnetically undetectable. We show that magnetic responses to sub-GPa stresses can be precisely calibrated, enabling three-dimensional paleostress reconstructions in rocks – even stresses of just a few MPa can fully reset magnetic signals without heat or deformation. This newly revealed magnetic sensitivity to stress opens a powerful, non-destructive pathway to detecting paleostress fields in the elastic crust, offering new opportunities for improving seismic hazard assessment, interpreting impact processes, and re-evaluating magnetic records across Earth and Planetary sciences.

--------------------

Data Set S1.

Experimentally determined stress - strain curves and magnetic susceptibility data for all the data plotted in the figures.

Data Set S2. 

Experimentally determined Anisotropy of magnetic susceptibility data for all the data plotted in the figures.

Data Set S3. 

Numerically simulated magnetic susceptibility data for all the data plotted in the figures.
DOI: 10.5281/zenodo.17294344
title: The Magnetic Signature of Stress in Rocks

description: Magnetic signatures preserved in rocks have long provided insight into Earth’s evolution, revealing processes from plate tectonics to the habitability of Earth. While large impacts are known to impose extreme stresses (>1 GPa) and heat that fundamentally alters magnetic records, lower stresses typical of earthquakes have been considered magnetically undetectable. We show that magnetic responses to sub-GPa stresses can be precisely calibrated, enabling three-dimensional paleostress reconstructions in rocks – even stresses of just a few MPa can fully reset magnetic signals without heat or deformation. This newly revealed magnetic sensitivity to stress opens a powerful, non-destructive pathway to detecting paleostress fields in the elastic crust, offering new opportunities for improving seismic hazard assessment, interpreting impact processes, and re-evaluating magnetic records across Earth and Planetary sciences.

--------------------

Data Set S1.

Experimentally determined stress - strain curves and magnetic susceptibility data for all the data plotted in the figures.

Data Set S2. 

Experimentally determined Anisotropy of magnetic susceptibility data for all the data plotted in the figures.

Data Set S3. 

Numerically simulated magnetic susceptibility data for all the data plotted in the figures.
DOI: 10.15468/dl.a6v376
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Oxytropis barkolensis"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070994-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18131437
title: ForestAcclimationReview_ExtractedData

description: Dataset description

This dataset accompanies the manuscript "Conceptual ambiguity in forest acclimation studies: a critical review".

Data collection

A systematic literature search was conducted using Web of Science with the search terms "acclimation" AND "forest" in the title, covering publications from 1990 to 2024. Studies were included if they: (1) used measurable indicators to explicitly quantify or assess acclimation responses; (2) included field studies, controlled environment experiments, or observational data; (3) focused on trees or forest ecosystems; and (4) were published as original research articles or review papers. The final dataset includes 55 studies.

Variables

For each study, the following information was extracted:



Publication year

Geographic location

Forest type (evergreen broadleaf, deciduous broadleaf, evergreen needleleaf, mixed)

Scale of analysis (leaf, plant, ecosystem)

Study design (manipulation, field-based)

Acclimation quantification method (direct comparison, index, environmental gradient regression, temporal tracking)

Environmental driver(s) studied (light, temperature, drought, nitrogen addition, other)

Key findings

Methodological strengths and limitations


Contact

Yu Luo, Institute of Landscape Ecology, University of Münster. Email: yu.luo@uni-munster.de
DOI: 10.5281/zenodo.18131435
title: ForestAcclimationReview_ExtractedData

description: Dataset description

This dataset accompanies the manuscript "Conceptual ambiguity in forest acclimation studies: a critical review".

Data collection

A systematic literature search was conducted using Web of Science with the search terms "acclimation" AND "forest" in the title, covering publications from 1990 to 2024. Studies were included if they: (1) used measurable indicators to explicitly quantify or assess acclimation responses; (2) included field studies, controlled environment experiments, or observational data; (3) focused on trees or forest ecosystems; and (4) were published as original research articles or review papers. The final dataset includes 55 studies.

Variables

For each study, the following information was extracted:



Publication year

Geographic location

Forest type (evergreen broadleaf, deciduous broadleaf, evergreen needleleaf, mixed)

Scale of analysis (leaf, plant, ecosystem)

Study design (manipulation, field-based)

Acclimation quantification method (direct comparison, index, environmental gradient regression, temporal tracking)

Environmental driver(s) studied (light, temperature, drought, nitrogen addition, other)

Key findings

Methodological strengths and limitations


Contact

Yu Luo, Institute of Landscape Ecology, University of Münster. Email: yu.luo@uni-munster.de
DOI: 10.15468/dl.3gnm2j
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "DatasetKey is one of (The New York Botanical Garden Herbarium (NY), RB - Coleção do Herbário do Jardim Botânico do Rio de Janeiro, NMNH Extant Specimen Records (USNM, US))",
 "PublishingOrg is one of (ae447c50-b8a8-11d8-92a4-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 838537fc-4aeb-4980-8b58-97fbdcd1d91a)",
 "TaxonKey is Miconia crenata"
 ]
}

 The dataset includes 463 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070995-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xvstj
title: Occurrence Download

description: A dataset containing 514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is CHN.6.4_1",
 "Geometry POLYGON((105.94608 18.12675,123.37501 18.12675,123.37501 25.09833,105.94608 25.09833,105.94608 18.12675))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (July, August, September)",
 "StateProvince is Guangdong",
 "TaxonKey is one of (Lampyridae, Aves, Apidae, Sciuridae, Squamata, Amphibia)",
 "Year is 2025"
 ]
}

 The dataset includes 514 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070996-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgv93x
title: Occurrence Download

description: A dataset containing 377785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "HasCoordinate is true",
 "Geometry POLYGON((-10.0 35.0, 40.0 35.0, 40.0 71.0, -10.0 71.0, -10.0 35.0))"
 ]
}

 The dataset includes 377785 records from 830 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070988-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2pwmqy
title: CCDC 2499211: Experimental Crystal Structure Determination

description: Related Article: Austin M. Stanley, Christopher Tremblay, Nathan D. Schley, Heather L. Buckley, David C. Leitch, Erin T. Chernick|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-zbwq6
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.cc2pwmrz
title: CCDC 2499212: Experimental Crystal Structure Determination

description: Related Article: Austin M. Stanley, Christopher Tremblay, Nathan D. Schley, Heather L. Buckley, David C. Leitch, Erin T. Chernick|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-zbwq6
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.cc2pwms0
title: CCDC 2499213: Experimental Crystal Structure Determination

description: Related Article: Austin M. Stanley, Christopher Tremblay, Nathan D. Schley, Heather L. Buckley, David C. Leitch, Erin T. Chernick|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-zbwq6
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: 10.6084/m9.figshare.30987448
title: AI Research Trends in Science Education

description: This dataset supports the article <i>“Artificial Intelligence (AI) Research Trends in Science Education: A Critical Review of Ethical Concerns”</i> by <b>Ulku Seher Budak</b> and <b>Kemal Akoglu</b>.The dataset includes the coded and analyzed publications reviewed in the study, focusing on research trends in artificial intelligence applications within science education and the ethical issues addressed in this literature. Data were extracted through a systematic screening and critical review process and categorized according to publication year, research focus, educational context, AI application types, and ethical dimensions (e.g., bias, transparency, data privacy, accountability, and equity).The dataset is intended to enhance transparency, reproducibility, and secondary analysis related to AI research trends and ethical considerations in science education.