cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19589070
title: Additional file 3 of Whole blood transcriptome profiling identifies candidate genes associated with alopecia in male giant pandas (Ailuropoda melanoleuca)

description: Additional file 3: Table S3.
DOI: 10.6084/m9.figshare.21175819.v1
title: Additional file 3 of Genome wide association analysis for yield related traits in maize

description: Additional file 3.
DOI: 10.6084/m9.figshare.21175819
title: Additional file 3 of Genome wide association analysis for yield related traits in maize

description: Additional file 3.
DOI: 10.6084/m9.figshare.19589070.v1
title: Additional file 3 of Whole blood transcriptome profiling identifies candidate genes associated with alopecia in male giant pandas (Ailuropoda melanoleuca)

description: Additional file 3: Table S3.
DOI: 10.6084/m9.figshare.19589082
title: Additional file 5 of Whole blood transcriptome profiling identifies candidate genes associated with alopecia in male giant pandas (Ailuropoda melanoleuca)

description: Additional file 5: Table S5.
DOI: 10.6084/m9.figshare.12262937.v1
title: Additional file 2 of Genome-wide identification and analysis of long noncoding RNAs (lncRNAs) during seed development in peanut (Arachis hypogaea L.)

description: Additional file 2: Table S2. Statistical data of the RNA-Seq reads for four samples.
DOI: 10.6084/m9.figshare.12262946.v1
title: Additional file 3 of Genome-wide identification and analysis of long noncoding RNAs (lncRNAs) during seed development in peanut (Arachis hypogaea L.)

description: Additional file 3: Table S3. All lncRNAs in peanut.
DOI: 10.6084/m9.figshare.12262952
title: Additional file 4 of Genome-wide identification and analysis of long noncoding RNAs (lncRNAs) during seed development in peanut (Arachis hypogaea L.)

description: Additional file 4: Table S4. Differentially expressed known and novel lncRNAs four comparisons. (S4–1) Differentially expressed lncRNAs in RIL8106 at 35 DAF (T1 vs C1). (S4–2) Differentially expressed lncRNAs in RIL8107 at 35 DAF (T2 vs C2). (S4–3) Differentially expressed lncRNAs in C2 vs C1. (S4–4) Differentially expressed lncRNAs in T2 vs T1.
DOI: 10.6084/m9.figshare.12262964.v1
title: Additional file 6 of Genome-wide identification and analysis of long noncoding RNAs (lncRNAs) during seed development in peanut (Arachis hypogaea L.)

description: Additional file 6: Table S6. All primers in this study.
DOI: 10.6084/m9.figshare.12262931
title: Additional file 1 of Genome-wide identification and analysis of long noncoding RNAs (lncRNAs) during seed development in peanut (Arachis hypogaea L.)

description: Additional file 1: Table S1. Mean sample quality.
DOI: 10.6084/m9.figshare.12262952.v1
title: Additional file 4 of Genome-wide identification and analysis of long noncoding RNAs (lncRNAs) during seed development in peanut (Arachis hypogaea L.)

description: Additional file 4: Table S4. Differentially expressed known and novel lncRNAs four comparisons. (S4–1) Differentially expressed lncRNAs in RIL8106 at 35 DAF (T1 vs C1). (S4–2) Differentially expressed lncRNAs in RIL8107 at 35 DAF (T2 vs C2). (S4–3) Differentially expressed lncRNAs in C2 vs C1. (S4–4) Differentially expressed lncRNAs in T2 vs T1.
DOI: 10.6084/m9.figshare.12262931.v1
title: Additional file 1 of Genome-wide identification and analysis of long noncoding RNAs (lncRNAs) during seed development in peanut (Arachis hypogaea L.)

description: Additional file 1: Table S1. Mean sample quality.
DOI: 10.7934/x29775
title: The higher-level phylogeny of Archosauria (Tetrapoda: Diapsida) [X29775] Brasette et al 2010
DOI: 10.15468/dl.3447tk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa opinata Veldkamp"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078369-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7934/p5177
title: The phylogeny of arachnomorph arthropods and the origin of the Chelicerata (project)
DOI: 10.15468/dl.7h8jcd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa paczoskii Tzvelev"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078372-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cu3yh
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "TaxonKey is Morinda citrifolia L."
 ]
}

 The dataset includes 237 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078371-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r7z28
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica nervosa Pillans"
 ]
}

 The dataset includes 81 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078375-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfhecs
title: Occurrence Download

description: A dataset containing 92126 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonatum verticillatum (L.) All."
 ]
}

 The dataset includes 92126 records from 574 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078357-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9v5hs
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa pagophila Bor"
 ]
}

 The dataset includes 225 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078376-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr9yu5
title: Occurrence Download

description: A dataset listing the 202 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ripiphorus fasciatus (Say, 1824), Ripiphoridae)"
 ]
}

 The dataset's 202 records were derived from 264 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078353-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyzhnf
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica nigrita Sond."
 ]
}

 The dataset includes 74 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078377-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2vukk
title: Occurrence Download

description: A dataset containing 251650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picris hieracioides L."
 ]
}

 The dataset includes 251650 records from 2260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078366-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/9w7b-wm55
title: JKU DORA

description: The dataset contains drone measurements of traffic at highway entrances/exits in Austria and Italy. Main features:In Austria, the recordings have been made from 300 m height and trajectories of 2521 cars, vans and trucks are extracted over a &gt;600 m long road sectionIn Italy, the recordings have been made from 120 m height and trajectories of 2783 cars, vans, buses, motorbikes and trucks are extracted over a &gt;200 m long road sectionData are provided in local (image-based) and global (road-based) coordinate systems and contatins positions, velocities and accelerations of all moving objects.
DOI: 10.5517/ccdc.csd.cc27z5zd
title: CCDC 2084594: Experimental Crystal Structure Determination

description: Related Article: Antonis M. Messinis, João C. A. Oliveira, A. Claudia Stückl, Lutz Ackermann|2022|ACS Catalysis|12|4947|doi:10.1021/acscatal.2c00772
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.cc27z60g
title: CCDC 2084595: Experimental Crystal Structure Determination

description: Related Article: Antonis M. Messinis, João C. A. Oliveira, A. Claudia Stückl, Lutz Ackermann|2022|ACS Catalysis|12|4947|doi:10.1021/acscatal.2c00772
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.cc27z61h
title: CCDC 2084596: Experimental Crystal Structure Determination

description: Related Article: Antonis M. Messinis, João C. A. Oliveira, A. Claudia Stückl, Lutz Ackermann|2022|ACS Catalysis|12|4947|doi:10.1021/acscatal.2c00772
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.cc27z62j
title: CCDC 2084597: Experimental Crystal Structure Determination

description: Related Article: Antonis M. Messinis, João C. A. Oliveira, A. Claudia Stückl, Lutz Ackermann|2022|ACS Catalysis|12|4947|doi:10.1021/acscatal.2c00772
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.cc27z63k
title: CCDC 2084598: Experimental Crystal Structure Determination

description: Related Article: Antonis M. Messinis, João C. A. Oliveira, A. Claudia Stückl, Lutz Ackermann|2022|ACS Catalysis|12|4947|doi:10.1021/acscatal.2c00772
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.cc28t2t0
title: CCDC 2109482: Experimental Crystal Structure Determination

description: Related Article: Wenzhong Li, Ran Shi, Xuesi Zhang, Sen Chen, Yu Wang, Mengqi Wang, Bin Yang, Jiazhu Li, Xin-Ming Xu|2022|J.Org.Chem.|87|9769|doi:10.1021/acs.joc.2c00829
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.cc28t2w2
title: CCDC 2109484: Experimental Crystal Structure Determination

description: Related Article: Wenzhong Li, Ran Shi, Xuesi Zhang, Sen Chen, Yu Wang, Mengqi Wang, Bin Yang, Jiazhu Li, Xin-Ming Xu|2022|J.Org.Chem.|87|9769|doi:10.1021/acs.joc.2c00829
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: 10.5281/zenodo.6517822
title: Unit Test Trace Analysis Data

description: In order to find performance changes at code level, Peass (https://github.com/DaGeRe/peass) uses unit tests as proxy for the performance of a software. The performance of a unit test may not change if the called source stays the same. Therefore, PeASS' regression test selection identifies which tests to execute. For further analysis of the performance changes, the changed source is analysed and methods, which are called and which contain source code changes, are extracted. This dataset provides the results of the regression test selection and source code analysis of Apache Commons Compress, CSV, DBCP, fileupload, imaging, IO, JCS, numbers, pool and text and httpcomponents-core. To execute the analysis, execute the following steps: <pre><code class="language-bash">tar -xvf peass_metadata_commons.tar # extract folder chmod +x getCalls.sh # Make script executable, since Zenodo provides scripts without x flag ./getCalls.sh # Execute analysis</code></pre> This consumes a significant amount of hard disc space and contains long filenames; therefore execution on eCryptfs might yield problems.
DOI: 10.5281/zenodo.3625781
title: Unit Test Trace Analysis Data

description: In order to find performance changes at code level, Peass (https://github.com/DaGeRe/peass) uses unit tests as proxy for the performance of a software. The performance of a unit test may not change if the called source stays the same. Therefore, PeASS' regression test selection identifies which tests to execute. For further analysis of the performance changes, the changed source is analysed and methods, which are called and which contain source code changes, are extracted. This dataset provides the results of the regression test selection and source code analysis of Apache Commons Compress, CSV, DBCP, fileupload, imaging, IO, JCS, numbers, pool and text and httpcomponents-core. To execute the analysis, execute the following steps: <pre><code class="language-bash">tar -xvf peass_metadata_commons.tar # extract folder chmod +x getCalls.sh # Make script executable, since Zenodo provides scripts without x flag ./getCalls.sh # Execute analysis</code></pre> This consumes a significant amount of hard disc space and contains long filenames; therefore execution on eCryptfs might yield problems.
DOI: 10.17638/datacat.liverpool.ac.uk/1558
title: Drosophila limensis

description: A photography collection (lateral, ventral, and dorsal images) of Drosophila limensis. Part of a collection of photographs at Drosophoto.com
DOI: 10.17638/datacat.liverpool.ac.uk/1578
title: Drosophila montana

description: A photography collection (lateral, ventral, and dorsal images) of Drosophila montana. Part of a collection of photographs at Drosophoto.com
DOI: 10.17638/datacat.liverpool.ac.uk/1567
title: Drosophila nasuta

description: A photography collection (lateral, ventral, and dorsal images) of Drosophila nasuta. Part of a collection of photographs at Drosophoto.com
DOI: 10.17638/datacat.liverpool.ac.uk/1561
title: Drosophila melanogaster

description: A photography collection (lateral, ventral, and dorsal images) of Drosophila melanogaster. Part of a collection of photographs at Drosophoto.com
DOI: 10.34740/kaggle/dsv/4044379
title: NSL-KDD
DOI: 10.6084/m9.figshare.20449470
title: Source data - Marinkovic&Pavlovic-et-al.

description: Source data for manuscript by Marinkovic&Pavlovic et al.
DOI: 10.6084/m9.figshare.20449470.v1
title: Source data - Marinkovic&Pavlovic-et-al.

description: Source data for manuscript by Marinkovic&Pavlovic et al.
DOI: 10.5281/zenodo.6974413
title: Supplementary materials (s.m.) of "The first report on detecting SARS-CoV-2 inside bacteria of the human gut microbiome: A case series on asymptomatic family members and a child with COVID-19".

description: These are Supplementary materials of the version 2 of the article published at the following link: https://f1000research.com/articles/11-135/v2. The article is: Brogna C, Cristoni S, Petrillo M <em>et al.</em> The first report on detecting SARS-CoV-2 inside bacteria of the human gut microbiome: A case series on asymptomatic family members and a child with COVID-19 [version 2; peer review]. <em>F1000Research</em> 2022, <strong>11</strong>:135 (https://doi.org/10.12688/f1000research.77421.2)
DOI: 10.5281/zenodo.6553774
title: Research data supporting "Nanozyme-catalysed CRISPR assay for preamplification-free detection of non-coding RNAs"

description: Raw research data supporting: Broto, M., Kaminski, M.M., Adrianus, C. <em>et al.</em> Nanozyme-catalysed CRISPR assay for preamplification-free detection of non-coding RNAs. <em>Nat. Nanotechnol.</em> (2022). https://doi.org/10.1038/s41565-022-01179-0
DOI: 10.5281/zenodo.6553773
title: Research data supporting "Nanozyme-catalysed CRISPR assay for preamplification-free detection of non-coding RNAs"

description: Raw research data supporting: Broto, M., Kaminski, M.M., Adrianus, C. <em>et al.</em> Nanozyme-catalysed CRISPR assay for preamplification-free detection of non-coding RNAs. <em>Nat. Nanotechnol.</em> (2022). https://doi.org/10.1038/s41565-022-01179-0
DOI: 10.5281/zenodo.6974384
title: Loss of Serpina1 in mice leads to altered gene expression in inflammatory and metabolic pathways

description: This is the data relating to Livers taken from age- and sex-matched at 8 to 14 weeks of age C57BL/6 wild-type (WT) and <em>Serpina1</em> knockout mice (KO), lacking all 5 serpin A1 a-e paralogues expressed in mice. Total RNA was isolated and performed RNA-sequencing and transcriptome analysis. <strong>The dataset contains the counts matrix for the mice samples mapped to the genes using HTSeq.</strong>
DOI: 10.5281/zenodo.6974383
title: Loss of Serpina1 in mice leads to altered gene expression in inflammatory and metabolic pathways

description: This is the data relating to Livers taken from age- and sex-matched at 8 to 14 weeks of age C57BL/6 wild-type (WT) and <em>Serpina1</em> knockout mice (KO), lacking all 5 serpin A1 a-e paralogues expressed in mice. Total RNA was isolated and performed RNA-sequencing and transcriptome analysis. <strong>The dataset contains the counts matrix for the mice samples mapped to the genes using HTSeq.</strong>
DOI: 10.6084/m9.figshare.20449089.v2
title: A repertoire of foraging decision variables in the mouse brain

description: Compiled data associated with Cazettes et al., 2022. The Behavior&Spikes.mat files contain the preprocessed data used to reproduce the main results or the paper. The readme.txt file describes how the data is structured.
DOI: 10.6084/m9.figshare.20371791
title: Sequence diversity and catalytic properties of phytases

description: <strong>Supplementary Information (SI)</strong>. This dataset includes the SI files that contain all supplementary Figures and Tables. <strong>Reference:</strong> Pires EBE, Polêtro MD, Vidigal PMP, Aragão MIB, Barros TA, Salgado RL, Guimarães VM, Eller MR. 2022. Sequence diversity and catalytic properties of phytases. <strong>Research, Society and Development</strong>. v. 11, n. 10, p. e427111032765, . http://dx.doi.org/10.33448/rsd-v11i10.32765 <strong>Acknowledgments:</strong> The authors would like to thank the company Agroceres Multimix Nutrição Animal Ltda for funding the research and granting a scholarship to Elizabeth B. E. Pires and Matheus I. B. Aragão. The experiments were carried out in laboratories with equipment acquired through the financing of projects by the entities CAPES, CNPq and FAPEMIG, to which the authors acknowledge. We are grateful to the Núcleo de Análise de Biomoléculas (NuBioMol) of the Universidade Federal de Viçosa (UFV) for providing the facilities for the conduction of the experiments and data analysis. NuBioMol is financially supported by the following Brazilian agencies: Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Financiadora de Estudos e Projetos (Finep) and Sistema Nacional de Laboratórios em Nanotecnologias (SisNANO)/Ministério da Ciência, Tecnologia e Informação (MCTI).
DOI: 10.6084/m9.figshare.20371791.v1
title: Sequence diversity and catalytic properties of phytases

description: <strong>Supplementary Information (SI)</strong>. This dataset includes the SI files that contain all supplementary Figures and Tables. <strong>Reference:</strong> Pires EBE, Polêtro MD, Vidigal PMP, Aragão MIB, Barros TA, Salgado RL, Guimarães VM, Eller MR. 2022. Sequence diversity and catalytic properties of phytases. <strong>Research, Society and Development</strong>. v. 11, n. 10, p. e427111032765, . http://dx.doi.org/10.33448/rsd-v11i10.32765 <strong>Acknowledgments:</strong> The authors would like to thank the company Agroceres Multimix Nutrição Animal Ltda for funding the research and granting a scholarship to Elizabeth B. E. Pires and Matheus I. B. Aragão. The experiments were carried out in laboratories with equipment acquired through the financing of projects by the entities CAPES, CNPq and FAPEMIG, to which the authors acknowledge. We are grateful to the Núcleo de Análise de Biomoléculas (NuBioMol) of the Universidade Federal de Viçosa (UFV) for providing the facilities for the conduction of the experiments and data analysis. NuBioMol is financially supported by the following Brazilian agencies: Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Financiadora de Estudos e Projetos (Finep) and Sistema Nacional de Laboratórios em Nanotecnologias (SisNANO)/Ministério da Ciência, Tecnologia e Informação (MCTI).
DOI: 10.34740/kaggle/dsv/4044491
title: Bangladesh Daraz E-commerce Headphone dataset
DOI: 10.5281/zenodo.6798858
title: Dataset of "Effect of impact velocity and angle on deformational heating and post-impact temperature"

description: This dataset contains input files for iSALE-3D and Data Set for the paper "Effect of impact velocity and angle on deformational heating and post-impact temperature" by S. Wakita et al.<br> <br> Please note that usage of the iSALE-3D code is restricted to those who have contributed to the development of iSALE-2D, and iSALE-2D is distributed on a case-by-case basis to academic users in the impact community. It requires a registration from the iSALE webpage (https://isale-code.github.io/) and usage of iSALE-2D and computational requirements are also shown in there. Please also note that pySALEPlot in the current stable release of iSALE-2D (Dellen) would not work for the data from iSALE-3D.