cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jgx9ak
title: Occurrence Download

description: A dataset containing 4086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra salamandra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2024"
 ]
}

 The dataset includes 4086 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004045-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxc8zt
title: Occurrence Download

description: A dataset containing 1737 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Santalum spicatum"
 ]
}

 The dataset includes 1737 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004047-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg8mk9
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutra lutra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2022-2025"
 ]
}

 The dataset includes 597 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004049-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18695177
title: Datasets and code (Part2) associated with "From video to behaviour: an LSTM-based approach for automated nest behaviour recognition in the wild"

description: This Zenodo record contains the second part off the materials needed to replicate the study “From video to behaviour: an LSTM-based approach for automated nest behaviour in the wild", found here https://www.biorxiv.org/content/10.1101/2025.05.27.656097v5.article-info

This archive represents Part 2 of a two-part material deposited on Zenodo, divided due to file size limitations.

This second part contains:

i) All scripts required for modelling and model evaluation, independent of bird species (present in both parts)ii) A comprehensive README file providing detailed instructions to reproduce all the modelling and analyses presented in the study (present in both parts)

iii) The datasets required for LSTM modelling of aggression and building detection in sociable weavers (Philetairus socius) 

iii) The datasets required to assess the effects of training dataset size, hard negatives proportion, and the adoption of YOLO  on model performance and deployment when automating nest activity detection in sociable weavers

iv) The datasets required for LSTM-based nest activity and sanitation recognition in the blue tit (Cyanistes caeruleus)

v) The dataset required for LSTM-based nest activity recognition in the great tit (Parus major)

vi) The LSTM-based models and CSV dataframes provide guidance for the two behavioural automation tasks in the blue tits: nest activity and sanitation

vii) The LSTM-based model and CSV dataframes provide guidance for the nest activity automation in the great tits
DOI: 10.5281/zenodo.18695178
title: Datasets and code (Part2) associated with "From video to behaviour: an LSTM-based approach for automated nest behaviour recognition in the wild"

description: This Zenodo record contains the second part off the materials needed to replicate the study “From video to behaviour: an LSTM-based approach for automated nest behaviour in the wild", found here https://www.biorxiv.org/content/10.1101/2025.05.27.656097v5.article-info

This archive represents Part 2 of a two-part material deposited on Zenodo, divided due to file size limitations.

This second part contains:

i) All scripts required for modelling and model evaluation, independent of bird species (present in both parts)ii) A comprehensive README file providing detailed instructions to reproduce all the modelling and analyses presented in the study (present in both parts)

iii) The datasets required for LSTM modelling of aggression and building detection in sociable weavers (Philetairus socius) 

iii) The datasets required to assess the effects of training dataset size, hard negatives proportion, and the adoption of YOLO  on model performance and deployment when automating nest activity detection in sociable weavers

iv) The datasets required for LSTM-based nest activity and sanitation recognition in the blue tit (Cyanistes caeruleus)

v) The dataset required for LSTM-based nest activity recognition in the great tit (Parus major)

vi) The LSTM-based models and CSV dataframes provide guidance for the two behavioural automation tasks in the blue tits: nest activity and sanitation

vii) The LSTM-based model and CSV dataframes provide guidance for the nest activity automation in the great tits
DOI: 10.7910/dvn/0yfue0
title: Replication Data for: Analysis of Integrated Values Survey, Wave 7

description: Analysis of Integrated Values Survey, Wave 7, Figure 2.2, Table A.1. Data in .csv format and command file in Python. For more information on IVS, see: Gedeshi, Ilir, David Rotman, Merab Pachulia, Gevorg Poghosyan, and Sylvia Kritzinger. 2022. Joint EVS/WVS 2017–2022 Dataset, ZA7505 Data File Version 4.0.0. Cologne: GESIS. https://doi.org/10.4232/1.14320.
DOI: 10.15468/dl.22rvqd
title: Occurrence Download

description: A dataset containing 18 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 Scyphocephalium"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004048-260221153910048/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.cc2kty9n
title: CCDC 2378422: Experimental Crystal Structure Determination

description: Related Article: Eisuke Tsunekawa, Makoto Fujita, Tomohisa Sawada|2025|Angew.Chem.,Int.Ed.|64|e202416442|doi:10.1002/anie.202416442
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.cc2l22b3
title: CCDC 2385274: Experimental Crystal Structure Determination

description: Related Article: Dominic B. Kennedy, Kyle G. Pearce, Samuel E. Neale, Louis J. Morris, Mary F. Mahon, Claire L. McMullin, Michael S. Hill, Cameron Jones|2024|ChemRxiv|||doi:10.26434/chemrxiv-2024-np0sd
description: Related Article: Dominic B. Kennedy, Kyle G. Pearce, Samuel E. Neale, Louis J. Morris, Mary F. Mahon, John P. Lowe, Claire L. McMullin, Cameron Jones, Michael S. Hill|2025|Chem.-Eur.J.|31|e202404416|doi:10.1002/chem.202404416
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.cc2m4xzp
title: CCDC 2417813: Experimental Crystal Structure Determination

description: Related Article: Masahiro Yamaguchi, Kentaro Yonesato, Kaito Shioya, Chifeng Li, Kei Murata, Kazuyuki Ishii, Kazuya Yamaguchi, Kosuke Suzuki|2025|Chemical Science|16|9178|doi:10.1039/D5SC00814J
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.cc2m4y0r
title: CCDC 2417814: Experimental Crystal Structure Determination

description: Related Article: Masahiro Yamaguchi, Kentaro Yonesato, Kaito Shioya, Chifeng Li, Kei Murata, Kazuyuki Ishii, Kazuya Yamaguchi, Kosuke Suzuki|2025|Chemical Science|16|9178|doi:10.1039/D5SC00814J
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.cc2m83pq
title: CCDC 2420873: Experimental Crystal Structure Determination

description: Related Article: Galon Green, Kamal Uddin Ansari, Thejasree Munikrishna, Sagi Ezov, Donia Shamali, Orit Cohen, Daphna Shimon, Yuri Tulchinsky|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-133gp
description: Related Article: Galon Green, Kamal Uddin Ansari, Thejasree Munikrishna, Sagi Ezov, Donia Shamali, Laxmi-Narayan Nanda, Vitaly Gutkin, Orit Cohen, Daphna Shimon, Yuri Tulchinsky|2025|J.Am.Chem.Soc.|147|30647|doi:10.1021/jacs.5c02637
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.cc2m9j5n
title: CCDC 2422221: Experimental Crystal Structure Determination

description: Related Article: Jianyun Li, Zhaohui Shi, Xin Liu, Lirong Zhang, Yunling Liu|2025|ACS Materials Lett.|7|2063|doi:10.1021/acsmaterialslett.5c00287
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.cc2m5ztm
title: CCDC 2418831: Experimental Crystal Structure Determination

description: Related Article: Sota Oguma, Yuuki Inomata, Akihiro Hayakawa, Takahiro Nakama, Makoto Fujita, Tomohisa Sawada|2025|J.Am.Chem.Soc.|147|9098|doi:10.1021/jacs.5c01458
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.cc2mh6n0
title: CCDC 2427692: Experimental Crystal Structure Determination

description: Related Article: Kai Wang, Seihou Jinnai, Kaito Uesaka, Akira Yamakata, Yutaka Ie|2025|J.Mater.Chem.A|13|17720|doi:10.1039/D5TA00178A
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.cc2l5y5x
title: CCDC 2388989: Experimental Crystal Structure Determination

description: Related Article: Haojie Li, Ningning Gao, Xibing Gao, Junjun Qiao, Congxin Wang, Xiaoge Wang, Ling Zhang, Shuo Tao, Jingbo Jia, Runduo Zhang, Zhijian Tian, Ying Wei|2025|Small|21|2500952|doi:10.1002/smll.202500952
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/ctg99t
title: Small terrestrial mammals (Rodentia, Eulipotyphla) of the Landes de Gascogne forest (southwestern France).

description: The dataset contains occurrences records of small terrestrial mammals (Rodentia and Eulipotyphla) trapped within a 1,050 km² area of the Landes de Gascogne forest in southwestern France ( 44°33'38.2"N 0°46'36.7"W). The Landes de Gascogne forest is a vast, human-planted temperate forest, established in the 19th century and dominated by maritime pine (Pinus pinaster) monocultures (&gt;70%). Characterized by an oceanic climate and sandy soils, the region also retains scattered remnants of native broadleaved forests, creating a patchwork of habitats.
Sampling was carried out during both spring and autumn of 2023 and 2024, across 53 different sites representing three habitat types : pine edges (12 sites), broadleaved hedgerows (24 sites) and broadleaved forest patches (17 sites). Broadleaved hedgerows, composed mainly of pedunculate oak (Quercus robur) and tauzin oak (Quercus pyrenaica), ranged from 100 to 400 meters in length, 2 to 15 meters in width, and 5 to 20 meters in height. Broadleaved forest sites were only sampled after spring 2024, resulting in the following seasonal sampling effort: spring 2023 (35 sites), autumn 2023 (36 sites), spring 2024 (52 sites) and autumn 2024 (51 sites). Sampling sites were selected to represent a gradient of tree diversity and forest management intensity: pine edges reflect intensively managed monoculture plantations, broadleaved hedgerows serve as semi-natural structure that may enhance biodiversity within plantation matrices and broadleaved forest patches are relativelyt unmanaged remnants of native forest.
Live trapping was conducted using INRA live traps placed on the ground for three to four consecutive nights per site and season. A total of 513 small mammals were captured and identified. They belong to at least 6 species, among which there are four species of rodents (Muridae, Cricetidae) and two species of shrews (Soricidae). Shrews were marked and released after capture, while most rodents were euthanized and preserved. Preserved specimens were weighted (gram) and measured (mm): both body length and tail length. In addition, external and internal sexual characteristics were also recorded. Due to sampling restrictions limiting the number of individuals per site, some rodents were not preserved; these were marked and released, and all belonged to the same species (Apodemus sylvaticus).
This dataset aims to better understand the relationship between small terrestrial mammal biodiversity and health in the context of ecological restoration, and in particular in human-modified forest ecosystems. It is part of the European BEPREP project (https://www.beprep-project.eu/), and represents data from case study no. 4. The dataset will support analyses of small mammal community composition across habitat types, and allow for the evaluation of temporal patterns in species diversity across seasons and years.
DOI: 10.7910/dvn/ralog4
title: Dataset for: Modelling Food Consumption Responses in European Union Countries to Geopolitical Threats and Energy Market Shocks: Evidence from Panel Quantile Methods

description: The dataset includes the following variables:
Country: country identifier;
Year: time identifier;
Qfood: household final food consumption expenditure (food and non-alcoholic beverages quantity), in million Euro;
GPR: Geopolitical Risk Index;
GPRT: geopolitical threats (component of Geopolitical Risk Index);
GPRA: geopolitical acts (component of Geopolitical Risk Index);
POIL: oil prices; 
PGAS: gas prices;
EUI: Energy-Related Uncertainty Index.

The original data sources are:
• Energy-Related Uncertainty Indexes (2025): https://www.policyuncertainty.com/energy_uncertainty.html
• Geopolitical Risk Index (2025): https://www.policyuncertainty.com/gpr.html
• Eurostat (2025), Household final consumption expenditure by purpose:
https://ec.europa.eu/eurostat/databrowser/view/NAMA_10_CO3_P3__custom_7654517/default/table?lang=en
• FAO (2025), Food Price Index:
https://www.fao.org/worldfoodsituation/foodpricesindex/en/
• U.S. Bureau of Labor Statistics (2025), Consumer Price Index:
https://www.bls.gov/opub/ted/2022/consumer-prices-for-shelter-up-6-6-percent-for-year-ended-september-2022.htm
• World Bank (2025), Food Security Update:
https://www.worldbank.org/en/topic/agriculture/brief/food-security-update
DOI: 10.15468/dl.v8f5z6
title: Occurrence Download

description: A dataset containing 192075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triturus cristatus"
 ]
}

 The dataset includes 192075 records from 832 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003989-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/irldlc
title: Replication Data for: Analysis of Integrated Values Survey, all waves

description: Replicate analysis of Integrated Values Survey, all waves: Figures 2.3, 2.4, 4.1-4.3; Table A.2, A.6. Data provided as .csv file. Command file in Python format.
Directions for compiling all waves of the Integrated Values Survey are at https://www.worldvaluessurvey.org/WVSEVStrend.jsp
Compiling all waves requires combining: EVS Trend File 1981-2017 (ZA7503; Version 3.0.0) https://doi.org/10.4232/1.14021 with World Values Survey Trend File (1981-2022) Data File Version 2.0.0, doi:10.14281/18241.27
DOI: 10.5281/zenodo.18745140
title: THE IMPACT OF SPEECH THERAPY SESSIONS ON SPEECH DEVELOPMENT

description: This article provides a profound and comprehensive scientific analysis of the impact of speech therapy sessions on speech development in children. Through a literature review, research methodology, detailed analysis, and results, the paper explores the influence of speech therapy interventions on phonetic, lexical-grammatical, speech fluency, and communicative skill development. Based on empirical studies from Uzbekistan and abroad, it is confirmed that speech therapy sessions are highly effective in addressing speech defects (articulation disorders, stuttering, speech delay), increasing vocabulary, improving grammatical structure, and accelerating general language development. The findings indicate that speech therapy sessions initiated at an early age (preschool period) significantly enhance children's linguistic progress, yielding even more effective results when combined with individual and group formats, innovative technologies (game therapy, fairy-tale therapy, art therapy, logorhythmics), and family collaboration. The article provides practical recommendations for organizing speech therapy work within the preschool education system.
DOI: 10.5281/zenodo.18745141
title: THE IMPACT OF SPEECH THERAPY SESSIONS ON SPEECH DEVELOPMENT

description: This article provides a profound and comprehensive scientific analysis of the impact of speech therapy sessions on speech development in children. Through a literature review, research methodology, detailed analysis, and results, the paper explores the influence of speech therapy interventions on phonetic, lexical-grammatical, speech fluency, and communicative skill development. Based on empirical studies from Uzbekistan and abroad, it is confirmed that speech therapy sessions are highly effective in addressing speech defects (articulation disorders, stuttering, speech delay), increasing vocabulary, improving grammatical structure, and accelerating general language development. The findings indicate that speech therapy sessions initiated at an early age (preschool period) significantly enhance children's linguistic progress, yielding even more effective results when combined with individual and group formats, innovative technologies (game therapy, fairy-tale therapy, art therapy, logorhythmics), and family collaboration. The article provides practical recommendations for organizing speech therapy work within the preschool education system.
DOI: 10.15468/dl.nh47zg
title: Occurrence Download

description: A dataset containing 1782 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 Scytopetalum"
 ]
}

 The dataset includes 1782 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004050-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/81vfk0
title: Replication Data for: Analysis of Northern Ireland Survey data, Figure 3.3

description: Analysis of Northern Ireland Survey data, Figure 3.3. Data are in .csv format. Command file is in Python. For the original data see: EVS (2011). EVS - European Values Study 1999 - Integrated Dataset (ZA3811; Version 3.0.0) [Data set]. GESIS, Cologne. https://doi.org/10.4232/1.10789; EVS (2022). European Values Study 2008: Integrated Dataset (EVS 2008) (ZA4800; Version 5.0.0) [Data set]. GESIS, Cologne. https://doi.org/10.4232/1.13841
DOI: 10.5281/zenodo.18744945
title: Single-cell Characterization of Bacterial Optogenetic Cre Recombinases

description: Datasets associated with H. Huang, F. Jafarbeglou, M. J. Dunlop. "Single-cell Characterization of Bacterial Optogenetic Cre Recombinases." iScience, 2026.

The file file_key.docx contains a description of which data are associated with which figure.
DOI: 10.5281/zenodo.18744946
title: Single-cell Characterization of Bacterial Optogenetic Cre Recombinases

description: Datasets associated with H. Huang, F. Jafarbeglou, M. J. Dunlop. "Single-cell Characterization of Bacterial Optogenetic Cre Recombinases." iScience, 2026.

The file file_key.docx contains a description of which data are associated with which figure.
DOI: 10.7910/dvn/loca83
title: R Script for: Modelling Food Consumption Responses in European Union Countries to Geopolitical Threats and Energy Market Shocks: Evidence from Panel Quantile Methods

description: R script for quantile regression analysis outputs estimated in RStudio.
DOI: 10.15468/dl.mxr3sy
title: Occurrence Download

description: A dataset containing 1486680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.33_1",
 "Month is one of (August, September, October)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2020"
 ]
}

 The dataset includes 1486680 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004021-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7891
title: Errors_Additive_Manufacturing_Nozzle_Cam
DOI: 10.15468/dl.g64q3a
title: Occurrence Download

description: A dataset containing 928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra salamandra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2020",
 "Month is October"
 ]
}

 The dataset includes 928 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004051-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.