cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2p37tw
title: CCDC 2475778: Experimental Crystal Structure Determination

description: Related Article: Pedro O. Abate, Agustina Cotic, Daiana Cabrosi, Luis M. Baraldo, Alejandro Cadranel|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03575
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.cc2p37vx
title: CCDC 2475779: Experimental Crystal Structure Determination

description: Related Article: Pedro O. Abate, Agustina Cotic, Daiana Cabrosi, Luis M. Baraldo, Alejandro Cadranel|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03575
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.cc2p4s9y
title: CCDC 2477250: Experimental Crystal Structure Determination

description: Related Article: Jakub Obuch, Ivana Císařová, Jiří Brus, Petr Hermann|2025|Dalton Trans.|54|16535|doi:10.1039/d5dt01880c
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.cc2p4sbz
title: CCDC 2477251: Experimental Crystal Structure Determination

description: Related Article: Jakub Obuch, Ivana Císařová, Jiří Brus, Petr Hermann|2025|Dalton Trans.|54|16535|doi:10.1039/d5dt01880c
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.cc2p4sc0
title: CCDC 2477252: Experimental Crystal Structure Determination

description: Related Article: Jakub Obuch, Ivana Císařová, Jiří Brus, Petr Hermann|2025|Dalton Trans.|54|16535|doi:10.1039/d5dt01880c
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.cc2p4sd1
title: CCDC 2477253: Experimental Crystal Structure Determination

description: Related Article: Jakub Obuch, Ivana Císařová, Jiří Brus, Petr Hermann|2025|Dalton Trans.|54|16535|doi:10.1039/d5dt01880c
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.cc2p4sf2
title: CCDC 2477254: Experimental Crystal Structure Determination

description: Related Article: Jakub Obuch, Ivana Císařová, Jiří Brus, Petr Hermann|2025|Dalton Trans.|54|16535|doi:10.1039/d5dt01880c
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.cc2pdcfx
title: CCDC 2484539: Experimental Crystal Structure Determination

description: Related Article: Livia Getzner, Konul Amraliyeva, Yasmine Remili, Laure Vendier, Gábor Molnár, Saioa Cobo, Azzedine Bousseksou|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04117
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.cc2pdcgy
title: CCDC 2484540: Experimental Crystal Structure Determination

description: Related Article: Livia Getzner, Konul Amraliyeva, Yasmine Remili, Laure Vendier, Gábor Molnár, Saioa Cobo, Azzedine Bousseksou|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04117
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.cc2pdchz
title: CCDC 2484541: Experimental Crystal Structure Determination

description: Related Article: Livia Getzner, Konul Amraliyeva, Yasmine Remili, Laure Vendier, Gábor Molnár, Saioa Cobo, Azzedine Bousseksou|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04117
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.cc2pdcj0
title: CCDC 2484542: Experimental Crystal Structure Determination

description: Related Article: Livia Getzner, Konul Amraliyeva, Yasmine Remili, Laure Vendier, Gábor Molnár, Saioa Cobo, Azzedine Bousseksou|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04117
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: 10.71569/mhxb-v790
title: Fright of Birds of prey is: learned or innate

description: The relationship between certain species of rodents and oak trees has been established for a long time. Research into this type of relationship has been ongoing for decades. In this research, we have found that there are many factors that interfere. In one of our latest studies, we found that the presence of birds of prey in the branches of the treetops where rodents search for acorns can paralyse the process of acorn dispersal carried out by rodents, due to the danger that this presence poses to the life of the rodents.
The aim of this study is to answer the following question: Is the fear of rodents towards birds of prey a behaviour learned through experiences of contact between the two species, or is it an innate behaviour that rodents have imprinted in their genetic codes?
To achieve this objective, we designed an experiment in which we placed four specimens of four species of rodents, captured in the wild, individually isolated in semi-wild enclosures. We compared their behaviour under trees with and without the presence of birds of prey with the behaviour shown under the same trees by specimens bred in captivity and then placed in these semi-wild enclosures.
We have found that the species that have been occupying oak forests and consuming acorns for the longest time (Algerian mouse (Mus spretus) and Wood mouse (Apodemus sylvaticus)) exhibit an innate behaviour of escaping from the danger of birds of prey because it is encoded in their genetic codes.
DOI: 10.15468/dl.v8rxux
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambystoma mexicanum",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 331 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039244-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17632119
title: Molecular Data Machine Learning
DOI: 10.15468/dl.sx8vhr
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allocasuarina lehmanniana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 247 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039246-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/7sykll
title: Data for Work Environment and Innovative Work Behaviour

description: Work Environment and Innovative Work Behaviour: A Scientific Mapping of the Literature and Hotspots for Future Research
DOI: 10.21950/mlqrol
title: Prosodic skills of Spanish-speaking children with developmental language disorder. Data set.

description: This datase contains the data used for the analyses included in Calet, N., Martín-Peregrina, M., Jiménez-Fernández, G., & Martínez-Castilla, M. (2021). Prosodic skills of Spanish-speaking children with developmental language disorder. International Journal of Language and Communication Disorders, 56(4), 784–796. https://doi.org/10.1111/1460-6984.12627
This research studied the prosodic skills of Spanish-speaking children with Developmental Language Disorder (DLD) in comparison with typically developing peers matched for chronological age. Prosodic skills were assessed through the Spanish version of the Profiling Elements of Prosody in Speech-Communication (PEPS-C). Language skills were also assessed.
DOI: 10.5518/1742
title: Data and code associated with "Skyrmion motion in synthetic antiferromagnets and ferrimagnets driven by asymmetric spin wave emission"

description: Data generated from micromagnetic simulations of skyrmion breathing modes in a synthetic antiferromagnet. Data is composed of simulation scripts, and their associated outputs. Most data represents sets of simulations of the motions of the skyrmions, where the skyrmion is excited with some drive, and the motion recorded over a period of typically 10 ns. Over this period snapshots of the magnetisation are take from wich position can be extracted and velocity calculated given the time interval. These calculations are performed as a function of frequency, amplitude and for different excitation types to support each section of the paper.
DOI: 10.5281/zenodo.17510022
title: Real and Virtual Sequences Supporting "Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation"

description: This dataset contains real and virtual genomic sequences used in the study“Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation”(bioRxiv preprint: https://doi.org/10.1101/2025.11.09.687505).

The initial release (v1) of the dataset included mixed-case nucleotide characters (lowercase/uppercase).These inconsistencies affected sequence preprocessing pipelines; therefore, we provide a corrected version (v2) with fully normalized uppercase sequences.All replication and downstream analyses for the above manuscript were performed using v2, and users should likewise rely on v2 for running the official code associated with the preprint.

🔹 Real Sequences

Real individual sequences were derived from the GEUVADIS cohort(E-GEUV-1),which provides paired whole-genome sequencing (WGS) and RNA-seq data for 421 phased individuals.Following the approach of Huang et al. (2023), Nature Genetics 55(12), 2056–2059,we extracted 196,608 bp (±98,304 bp around TSS) windows for selected chromosome 22 genes from the hg19 reference genome,substituting individual-specific variants to create personalized haplotype sequences.

Reference:Huang, C. et al. Personal transcriptome variation is poorly explained by current genomic deep learning models.Nature Genetics 55(12), 2056–2059 (2023). https://doi.org/10.1038/s41588-023-01574-w

🔹 Virtual Sequences

To mitigate data scarcity and expand genetic diversity, we generated 1,000 virtual individuals usingthe sim1000G framework (Dimitromanolakis et al., BMC Bioinformatics 20(1), 26, 2019).sim1000G simulates recombination and mutation events based on 1000 Genomes haplotypes, producing realistic population-level variant structures.

References:

Dimitromanolakis, A. et al. sim1000g: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs. BMC Bioinformatics 20(1), 26 (2019). https://doi.org/10.1186/s12859-019-2611-1

Huang, C. et al. Nature Genetics 55(12), 2056–2059 (2023). https://doi.org/10.1038/s41588-023-01574-w
DOI: 10.5281/zenodo.17431075
title: Real and Virtual Sequences Supporting "Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation"

description: This dataset contains real and virtual genomic sequences used in the study“Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation”(bioRxiv preprint: https://doi.org/10.1101/2025.11.09.687505).

The initial release (v1) of the dataset included mixed-case nucleotide characters (lowercase/uppercase).These inconsistencies affected sequence preprocessing pipelines; therefore, we provide a corrected version (v2) with fully normalized uppercase sequences.All replication and downstream analyses for the above manuscript were performed using v2, and users should likewise rely on v2 for running the official code associated with the preprint.

🔹 Real Sequences

Real individual sequences were derived from the GEUVADIS cohort(E-GEUV-1),which provides paired whole-genome sequencing (WGS) and RNA-seq data for 421 phased individuals.Following the approach of Huang et al. (2023), Nature Genetics 55(12), 2056–2059,we extracted 196,608 bp (±98,304 bp around TSS) windows for selected chromosome 22 genes from the hg19 reference genome,substituting individual-specific variants to create personalized haplotype sequences.

Reference:Huang, C. et al. Personal transcriptome variation is poorly explained by current genomic deep learning models.Nature Genetics 55(12), 2056–2059 (2023). https://doi.org/10.1038/s41588-023-01574-w

🔹 Virtual Sequences

To mitigate data scarcity and expand genetic diversity, we generated 1,000 virtual individuals usingthe sim1000G framework (Dimitromanolakis et al., BMC Bioinformatics 20(1), 26, 2019).sim1000G simulates recombination and mutation events based on 1000 Genomes haplotypes, producing realistic population-level variant structures.

References:

Dimitromanolakis, A. et al. sim1000g: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs. BMC Bioinformatics 20(1), 26 (2019). https://doi.org/10.1186/s12859-019-2611-1

Huang, C. et al. Nature Genetics 55(12), 2056–2059 (2023). https://doi.org/10.1038/s41588-023-01574-w
DOI: 10.15468/dl.4srq3x
title: Occurrence Download

description: A dataset listing the 445 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.02970 40.18416,-5.41901 40.18416,-5.41901 40.42832,-6.02970 40.42832,-6.02970 40.18416))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 445 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039234-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13767052
title: llms.txt
DOI: 10.21950/8oisbz
title: Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame dataset

description: El afrontamiento de la emergencia sanitaria provocada por la COVID-19 obligó a las administraciones públicas en España a colaborar con diversas redes como medio para promover sus campañas entre la ciudadanía. Esta investigación tiene como objetivo analizar la e-participación de la ciudadanía digital, centrando la atención en la campaña sanitaria estatal #EstoNoEsUnJuego (#ThisIsNotAGame). Dicha campaña fue impulsada por el Ministerio de Sanidad de España en septiembre de 2020 a través de Twitter, con el objetivo de reforzar las medidas de protección frente al virus.
description: Se trabajó con una muestra compuesta por 19.609 tweets, enviados entre septiembre de 2020 y febrero de 2021. La base de datos incluye el texto original de cada uno de los tweets analizados, así como las diferentes codificaciones realizadas, tanto temáticas como emocionales.
DOI: 10.25502/7gre-fk02/d
title: Evaluation of improved varieties of maize for the enhancement of agricultural productivity and food security in São Tomé
DOI: 10.17617/3.pbgfbi
title: BAIRN-VIP_2024_data

description: Gradient measurements of O3, PAN, PAA, NO, NO2, and NO3 reactivity during BAIRN-VIP at the SMEAR II site in September 2024. And measurements of monoterpenes and photolysis frequencies at one height.
Please contact Simone T. Andersen (simone.andersen@mpic.de) for information regarding the O3, PAN, PAA, NO, and NO2 measurements and Patrick Dewald (patrick.dewald@mpic.de) for information on the NO3 reactivity measurements.
DOI: 10.7910/dvn/pxvtey
title: International Hierarchy Expert Survey

description: This is project page of the International Hierarchy and Functional Differentiation of States dataset, which is based on the International Hierarchy Expert Survey (IHES) conducted annually starting from 2022. As of September 2025, data for Waves I-IV is published. Wave V is expected to start in December 2025 – January 2026. Methodology of data collection and analysis is provided in the academic article published after the First Wave of IHES: https://doi.org/10.24833/2071-8160-2022-olf2. Please cite this academic paper, when using this dataset in your research.
DOI: 10.15468/dl.84dcuq
title: Occurrence Download

description: A dataset containing 11931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allocasuarina luehmannii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11931 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039247-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/3xvfvj
title: Suivi des oiseaux de passage : programme ACT - Programme ACT : Répartition Grive musicienne 2012 - 2016 Coordonnées GPS Lambert 93

description: Aire de reproduction de l'espèce Grive musicienne fondée sur la présence de mâles chanteurs au printemps (avril – juin), à partir de points d’écoutes répartis le long d’itinéraires échantillons. Environ 5 000 points ont été visités chaque année entre 2012 et 2016
DOI: 10.5281/zenodo.17576949
title: DISTENDER Climate Simulations: Dynamical Downscaling (Round-2) for Austria (Austria_D1 domain) at 9 km grid-spacing

description: Dynamical DownScaling (DDS) simulations in DISTENDER have been performed using the ICOsahedral Nonhydrostatic (ICON) model in limited-area mode (ICON-CLM), version 2.6.5, driven by EC-Earth3-Veg (EE3V) GCM.

The dataset contains climate data, indicators, and impacts for Austria core case study at 9 km spatial resolution from the Round-2 DDS simulations. 

The dataset covers the period 2011-2020 for the historical simulation, and 2041-2050 for the future scenarios simulations.

Climate simulations in Round-2 differ from Round-1 simulations only in the  land-use dataset used in the downscaling approach. Round-2 simulations used the localized land-use scenarios developed within DISTENDER WP3 activities, while Round-1 simulations used the GLOBCover-2009 dataset.

More details about the provided variable, levels, estimated climate indicators, and impacts are provided in the README files.
DOI: 10.5281/zenodo.17576948
title: DISTENDER Climate Simulations: Dynamical Downscaling (Round-2) for Austria (Austria_D1 domain) at 9 km grid-spacing

description: Dynamical DownScaling (DDS) simulations in DISTENDER have been performed using the ICOsahedral Nonhydrostatic (ICON) model in limited-area mode (ICON-CLM), version 2.6.5, driven by EC-Earth3-Veg (EE3V) GCM.

The dataset contains climate data, indicators, and impacts for Austria core case study at 9 km spatial resolution from the Round-2 DDS simulations. 

The dataset covers the period 2011-2020 for the historical simulation, and 2041-2050 for the future scenarios simulations.

Climate simulations in Round-2 differ from Round-1 simulations only in the  land-use dataset used in the downscaling approach. Round-2 simulations used the localized land-use scenarios developed within DISTENDER WP3 activities, while Round-1 simulations used the GLOBCover-2009 dataset.

More details about the provided variable, levels, estimated climate indicators, and impacts are provided in the README files.
DOI: 10.15468/qacwll
title: ULg_Hexapoda

description: BIOGEOnet is a taxonomic and biogeographic database of every living beings, developped on the behalf of the Vegetal Taxonomy and Conservation Biology Unit of the University of Liège. This datatset contains human observations of Hexapoda in Belgium.
DOI: 10.5281/zenodo.17176591
title: Wissenschaftsverlage im DACH-Raum mit Open-Access-Büchern im Programm
title: Recherchierte Liste zur Erhebung der Datenkollektion für den oa.finder/book. Version 1.0

description: Diese Veröffentlichung besteht aus zwei Teilen: 



 PDF: Wissenschaftsverlage im DACH-Raum_Erläuterung zur Verlagsliste_Katja Dammann (2025).pdf

 Excel-Mappe: Wissenschaftsverlage im DACH-Raum_Katja Dammann (2025).xlsx


Beide Dateien gehören zusammen und sind unter demselben DOI verfügbar.

Die Liste der Wissenschaftsverlage, die Open-Access-Bücher produzieren und verbreiten, entstand an der Universitätsbibliothek Bielefeld im Rahmen des Verbundprojekts open-access.network 2. Sie war Grundlage und Voraussetzung für die Erweiterung des Recherchetools oa.finder um die Suchmöglichkeit nach Wissenschaftsverlagen in Deutschland, Österreich und der Schweiz (DACH-Raum). 

Verschiedene Quellen wurden ausgewertet und die Ergebnisse in der vorliegenden Liste zusammengeführt. Sie enthält 148 Namen von Wissenschaftsverlagen, die als unabhängige Verlagshäuser, Verlagsgesellschaften oder Imprints/Marken/Editionen aktiv sind sowie 37 Verlage in Trägerschaft einer Wissenschaftseinrichtung. 

Die Liste ist als Excel-Mappe in derselben Zenodo-Archivierung verfügbar (Wissenschaftsverlage im DACH-Raum_Katja Dammann (2025).xlsx). DOI: https://doi.org/10.5281/zenodo.17176591

Anmerkungen, Anregungen, Kommentare, Ergänzungen und Fragen zum Projekt richten Sie gerne an oa.finder@uni-bielefeld.de.