cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7948267
title: EXPLO. Ploča Mičov Grad. Supplementary Data for Bolliger et al., 2023, Dendroarchaeology at Lake Ohrid: 5th and 2nd millennia BCE tree-ring chronologies

description: Supplementary data for the article "Dendroarchaeology at Lake Ohrid: 5th and 2nd millennia BCE tree-ring chronologies from the waterlogged site of Ploča Mičov Grad, North Macedonia" by Bolliger, Maczkowski, Francuz, Reich et al., 2023, published in Dendrochronologia. https://doi.org/10.1016/j.dendro.2023.126095 Abstract The prehistoric site of Ploča Mičov Grad (Ohrid, North Macedonia) on the eastern shore of Lake Ohrid yielded a total of 799 wooden samples from a systematically excavated area of nearly 100 square meters. Most of them are pile remains made of round wood with diameters up to almost 40 cm. A comprehensive dendrochronological analysis allows the construction of numerous well-replicated chronologies for different species. High agreements between the chronologies prove that oak, pine, juniper, ash and hop-hornbeam can be crossdated. The chronologies are dated by means of radiocarbon dates and modelling using wiggle matching. An intensive settlement phase is attested for the middle of the 5th millennium BCE. Further phases follow towards the end of the 5th millennium BCE and in the 2nd millennium around 1800, 1400 and 1300 BCE. Furthermore, the exact, relative felling dates allow first insights into the minimum duration of the settlement phases, which lie between 17 and 87 years. The present study lays the foundations for the establishment of a dendrochronological framework for the southwestern Balkans for periods of 6000 years ago. The multi-centennial chronologies presented in this study can be used as a first robust dating basis for future research in the numerous not yet dated prehistoric lake shore settlements of the region with excellently preserved wooden remains.
DOI: 10.34740/kaggle/dsv/5716193
title: Virtual Reality Experiences
DOI: 10.34740/kaggle/dsv/5716197
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.22012589.v2
title: Data and analysis of "Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations"

description: Data and R code to run the analyses presented in: "Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations" by J.A. Deere & I.M. Smallegange. The readme.txt file explains which analyses use which datafiles.
DOI: 10.3886/e191742
title: Replication materials for: Measuring preferences for competition with experimentally-validated survey questions

description: We validate experimentally a new survey item to measure the preference for competition. The item, which measures participants’ agreement with the statement “Competition brings the best out of me”, predicts individuals’ willingness to compete in the laboratory after controlling for their ability, beliefs, and risk attitude (Niederle and Vesterlund, 2007). We further validate the explanatory power of our survey item outside of the laboratory, by comparing responses across two samples with predicted differences in their preference for competition: professional athletes and non-athletes. As predicted, we find that athletes score higher on the item than non-athletes.
DOI: 10.3886/e191742v1
title: Replication materials for: Measuring preferences for competition with experimentally-validated survey questions

description: We validate experimentally a new survey item to measure the preference for competition. The item, which measures participants’ agreement with the statement “Competition brings the best out of me”, predicts individuals’ willingness to compete in the laboratory after controlling for their ability, beliefs, and risk attitude (Niederle and Vesterlund, 2007). We further validate the explanatory power of our survey item outside of the laboratory, by comparing responses across two samples with predicted differences in their preference for competition: professional athletes and non-athletes. As predicted, we find that athletes score higher on the item than non-athletes.
DOI: 10.6084/m9.figshare.22012589.v3
title: Data and analysis of "Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations"

description: Data and R code to run the analyses presented in: "Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations" by J.A. Deere & I.M. Smallegange. The readme.txt file explains which analyses use which datafiles.
DOI: 10.5519/qd.ng0yg0yl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7320147
title: CloudSEN12 - a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2

description: <strong>Description</strong> CloudSEN12 is a large dataset for cloud semantic understanding that consists of 9880 regions of interest (ROIs). Each ROI has five 5090x5090 meters image patches (IPs) collected on different dates; we manually choose the images to guarantee that each IP inside an ROI matches one of the following cloud cover groups: - clear (0%) - low-cloudy (1% - 25%) - almost clear (25% - 45%) - mid-cloudy (45% - 65%) - cloudy (65% &gt;) An IP is the core unit in CloudSEN12. Each IP contains data from Sentinel-2 optical levels 1C and 2A, Sentinel-1 Synthetic Aperture Radar (SAR), digital elevation model, surface water occurrence, land cover classes, and cloud mask results from eight cutting-edge cloud detection algorithms. Besides, in order to support standard, weakly, and self-/semi-supervised learning procedures, cloudSEN12 includes three distinct forms of hand-crafted labelling data: high-quality, scribble, and no annotation. Consequently, each ROI is randomly assigned to a different annotation group: 2000 ROIs with pixel-level annotation, where the average annotation time is 150 minutes (high-quality group). 2000 ROIs with scribble level annotation, where the annotation time is 15 minutes (scribble group). 5880 ROIs with annotation only in the cloud-free (0\%) image (no annotation group). For high-quality labels, we use the Intelligence foR Image Segmentation\cite{iris2019} (IRIS) active learning technology, a system that combines human photo-interpretation and machine learning. For scribble, ground truth pixels were drawn using IRIS but without ML support. Finally, the no annotation dataset is generated automatically, with manual annotation only in the clear image patch. The dataset is already available here: <strong>https://shorturl.at/cgjtz</strong>. Check out our website <strong>https://cloudsen12.github.io/</strong> for examples of how to download the dataset via STAC.
DOI: 10.5281/zenodo.7034409
title: CloudSEN12 - a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2

description: <strong>Description</strong> CloudSEN12 is a large dataset for cloud semantic understanding that consists of 9880 regions of interest (ROIs). Each ROI has five 5090x5090 meters image patches (IPs) collected on different dates; we manually choose the images to guarantee that each IP inside an ROI matches one of the following cloud cover groups: - clear (0%) - low-cloudy (1% - 25%) - almost clear (25% - 45%) - mid-cloudy (45% - 65%) - cloudy (65% &gt;) An IP is the core unit in CloudSEN12. Each IP contains data from Sentinel-2 optical levels 1C and 2A, Sentinel-1 Synthetic Aperture Radar (SAR), digital elevation model, surface water occurrence, land cover classes, and cloud mask results from eight cutting-edge cloud detection algorithms. Besides, in order to support standard, weakly, and self-/semi-supervised learning procedures, cloudSEN12 includes three distinct forms of hand-crafted labelling data: high-quality, scribble, and no annotation. Consequently, each ROI is randomly assigned to a different annotation group: 2000 ROIs with pixel-level annotation, where the average annotation time is 150 minutes (high-quality group). 2000 ROIs with scribble level annotation, where the annotation time is 15 minutes (scribble group). 5880 ROIs with annotation only in the cloud-free (0\%) image (no annotation group). For high-quality labels, we use the Intelligence foR Image Segmentation\cite{iris2019} (IRIS) active learning technology, a system that combines human photo-interpretation and machine learning. For scribble, ground truth pixels were drawn using IRIS but without ML support. Finally, the no annotation dataset is generated automatically, with manual annotation only in the clear image patch. The dataset is already available here: <strong>https://shorturl.at/cgjtz</strong>. Check out our website <strong>https://cloudsen12.github.io/</strong> for examples of how to download the dataset via STAC.
DOI: 10.5281/zenodo.7034410
title: CloudSEN12 - a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2

description: <strong>Description</strong> CloudSEN12 is a large dataset for cloud semantic understanding that consists of 9880 regions of interest (ROIs). Each ROI has five 5090x5090 meters image patches (IPs) collected on different dates; we manually choose the images to guarantee that each IP inside an ROI matches one of the following cloud cover groups: - clear (0%) - low-cloudy (1% - 25%) - almost clear (25% - 45%) - mid-cloudy (45% - 65%) - cloudy (65% &gt;) An IP is the core unit in CloudSEN12. Each IP contains data from Sentinel-2 optical levels 1C and 2A, Sentinel-1 Synthetic Aperture Radar (SAR), digital elevation model, surface water occurrence, land cover classes, and cloud mask results from eight cutting-edge cloud detection algorithms. Besides, in order to support standard, weakly, and self-/semi-supervised learning procedures, cloudSEN12 includes three distinct forms of hand-crafted labelling data: high-quality, scribble, and no annotation. Consequently, each ROI is randomly assigned to a different annotation group: 2000 ROIs with pixel-level annotation, where the average annotation time is 150 minutes (high-quality group). 2000 ROIs with scribble level annotation, where the annotation time is 15 minutes (scribble group). 5880 ROIs with annotation only in the cloud-free (0\%) image (no annotation group). For high-quality labels, we use the Intelligence foR Image Segmentation\cite{iris2019} (IRIS) active learning technology, a system that combines human photo-interpretation and machine learning. For scribble, ground truth pixels were drawn using IRIS but without ML support. Finally, the no annotation dataset is generated automatically, with manual annotation only in the clear image patch. The dataset is already available here: <strong>https://shorturl.at/cgjtz</strong>. Check out our website <strong>https://cloudsen12.github.io/</strong> for examples of how to download the dataset via STAC.
DOI: 10.5281/zenodo.7948306
title: Análise dos censos Brasil - Educação (1940-1980)

description: A planilha excel contem os dados extraídos do Recenseamento Geral realizado pelo Instituto Brasileiro de Geografia e Estatística (IBGE) do ano de 1940 até o quinto censo efetivado pelo mesmo instituto referente ao ano de 1980. Os dados refletem acerca da educação básica, ensino superior e número de professores disponíveis em cada censo. <pre>The excel spreadsheet contains data extracted from the General Census carried out by the Brazilian Institute of Geography and Statistics (IBGE) from 1940 to the fifth census carried out by the same institute for the year 1980. The data reflect on basic education, higher education and number of teachers available in each census.</pre>
description: {"references": ["IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Recenseamento geral do Brasil 1940: censo demogr\u00e1fico. Rio de Janeiro: IBGE, 1940. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?id=765&view=detalhes. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1950 \u2013 Estado do Paran\u00e1: sele\u00e7\u00e3o dos principais dados. Rio de Janeiro: IBGE, 1950b. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/?view=detalhes&id=767. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1950. Rio de Janeiro: IBGE, 1950. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/?view=detalhes&id=767. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1960. Rio de Janeiro: IBGE, 1960. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/index.php/bibliotecacatalogo?id=768&view=detalhes. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1970. Rio de Janeiro: IBGE, 1970. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/biblioteca-catalogo.html?id=769&view=detalhes. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico 1980: dados gerais, migra\u00e7\u00e3o, instru\u00e7\u00e3o, fecundidade, mortalidade. Rio de Janeiro: IBGE, 1980. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/index.php/bibliotecacatalogo?view=detalhes&id=772 Acesso em: 28 mar. 2022."]}
DOI: 10.5281/zenodo.7948305
title: Análise dos censos Brasil - Educação (1940-1980)

description: A planilha excel contem os dados extraídos do Recenseamento Geral realizado pelo Instituto Brasileiro de Geografia e Estatística (IBGE) do ano de 1940 até o quinto censo efetivado pelo mesmo instituto referente ao ano de 1980. Os dados refletem acerca da educação básica, ensino superior e número de professores disponíveis em cada censo. <pre>The excel spreadsheet contains data extracted from the General Census carried out by the Brazilian Institute of Geography and Statistics (IBGE) from 1940 to the fifth census carried out by the same institute for the year 1980. The data reflect on basic education, higher education and number of teachers available in each census.</pre>
description: {"references": ["IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Recenseamento geral do Brasil 1940: censo demogr\u00e1fico. Rio de Janeiro: IBGE, 1940. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?id=765&view=detalhes. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1950 \u2013 Estado do Paran\u00e1: sele\u00e7\u00e3o dos principais dados. Rio de Janeiro: IBGE, 1950b. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/?view=detalhes&id=767. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1950. Rio de Janeiro: IBGE, 1950. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/?view=detalhes&id=767. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1960. Rio de Janeiro: IBGE, 1960. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/index.php/bibliotecacatalogo?id=768&view=detalhes. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico: 1970. Rio de Janeiro: IBGE, 1970. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/biblioteca-catalogo.html?id=769&view=detalhes. Acesso em: 28 mar. 2022.", "IBGE \u2013 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTAT\u00cdSTICA. Censo demogr\u00e1fico 1980: dados gerais, migra\u00e7\u00e3o, instru\u00e7\u00e3o, fecundidade, mortalidade. Rio de Janeiro: IBGE, 1980. Dispon\u00edvel em: https://biblioteca.ibge.gov.br/index.php/bibliotecacatalogo?view=detalhes&id=772 Acesso em: 28 mar. 2022."]}
DOI: 10.5281/zenodo.7947950
title: Data of yield in a mandarin crop derived from Diverfarming project

description: Crop yield data, auxiliary data and methods metadata from a mandarin crop studied in Diverfarming project
DOI: 10.5281/zenodo.7947951
title: Data of yield in a mandarin crop derived from Diverfarming project

description: Crop yield data, auxiliary data and methods metadata from a mandarin crop studied in Diverfarming project
DOI: 10.25386/genetics.22389367
title: Supplemental Material for Krishnan et al., 2023

description: Supplemental Tables for Krishnan et al manuscript submission to Genetics.
DOI: 10.25386/genetics.22389367.v1
title: Supplemental Material for Krishnan et al., 2023

description: Supplemental Tables for Krishnan et al manuscript submission to Genetics.
DOI: 10.5281/zenodo.7948345
title: micropsitta_pusio_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948344
title: micropsitta_pusio_spades_01.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc290gng
title: CCDC 2115615: Experimental Crystal Structure Determination

description: Related Article: Brando Adranno, Veronica Paterlini, Volodymyr Smetana, Guillaume Bousrez, Alexander Ovchinnikov, Anja-Verena Mudring|2023|Dalton Trans.|52|6515|doi:10.1039/D2DT03817J
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.cc2c3lwz
title: CCDC 2178211: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Christian Boelsen, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5519/qd.3ff0alqw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1386 records)
DOI: 10.5281/zenodo.7948343
title: Deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT"- AHP Data analysis Excels Annex 1

description: This Excel file will introduce the AHP data analysis (Annex 1) in deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT".
DOI: 10.5281/zenodo.7948342
title: Deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT"- AHP Data analysis Excels Annex 1

description: This Excel file will introduce the AHP data analysis (Annex 1) in deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT".
DOI: 10.5517/ccdc.csd.cc2cm5v1
title: CCDC 2193183: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Thomas Schiffer, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d40m6
title: CCDC 2208397: Experimental Crystal Structure Determination

description: Related Article: Vignesh Athiyarath, Liby Ann Mathew, Yakai Zhao, Ravichandran Khazeber, Upadrasta Ramamurty, Kana M. Sureshan|2023|Chemical Science|14|5132|doi:10.1039/D3SC00053B
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.cc2d40n7
title: CCDC 2208398: Experimental Crystal Structure Determination

description: Related Article: Vignesh Athiyarath, Liby Ann Mathew, Yakai Zhao, Ravichandran Khazeber, Upadrasta Ramamurty, Kana M. Sureshan|2023|Chemical Science|14|5132|doi:10.1039/D3SC00053B
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.cc2dxvdl
title: CCDC 2232260: Experimental Crystal Structure Determination

description: Related Article: Konstantin V. Deriabin, Ekaterina A. Golovenko, Nikita S. Antonov, Sergey V. Baykov, Vadim P. Boyarskiy, Regina M. Islamova|2023|Dalton Trans.|52|5854|doi:10.1039/D3DT00651D
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.cc2dzfxr
title: CCDC 2233795: Experimental Crystal Structure Determination

description: Related Article: Julijan Sarcevic, Tobias Heitkemper, Paul Niklas Ruth, Leonard Naß, Maximilian Kubis, Dietmar Stalke, Christian P. Sindlinger|2023|Chemical Science|14|5148|doi:10.1039/D3SC00808H
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.cc2f57vq
title: CCDC 2239373: Experimental Crystal Structure Determination

description: Related Article: Md. Mahbubur Rahman, Guangrong Meng, Elwira Bisz, Błażej Dziuk, Roger Lalancette, Roman Szostak, Michal Szostak|2023|Chemical Science|14|5141|doi:10.1039/D3SC01006F
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.cc2f57wr
title: CCDC 2239374: Experimental Crystal Structure Determination

description: Related Article: Md. Mahbubur Rahman, Guangrong Meng, Elwira Bisz, Błażej Dziuk, Roger Lalancette, Roman Szostak, Michal Szostak|2023|Chemical Science|14|5141|doi:10.1039/D3SC01006F
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.cc2f57xs
title: CCDC 2239375: Experimental Crystal Structure Determination

description: Related Article: Md. Mahbubur Rahman, Guangrong Meng, Elwira Bisz, Błażej Dziuk, Roger Lalancette, Roman Szostak, Michal Szostak|2023|Chemical Science|14|5141|doi:10.1039/D3SC01006F
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.