cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7296509
title: Data for Few studies of wild animal performance account for parasite infections: a systematic review

description: Data from a systematic review across eight scientific journals publishing primarily studies in animal behaviour and physiology over a 5-year period to assess the proportion of studies which acknowledge, treat or control for parasite infection in their study design and/or analyses. Wild animals have parasites. This inconvenient truth has far-reaching implications for biologists measuring animal performance traits: infection with parasites can alter host behaviour and physiology in profound and sometimes counterintuitive ways. Yet, to what extent do studies on wild animals take individual infection status into account? We explored whether parasite inclusion differed between studies that are experimental versus observational, conducted in the field vs the laboratory and measure behavioural vs physiological traits. We also investigated the importance of other factors such as the journal, the year of publication, the trait category (e.g. locomotion, reproduction) measured, the vertebrate taxonomic group investigated, and the host climatic zone of origin. Our results show that parasite inclusion was generally lacking across recent studies on wild vertebrates. In over 680 filtered papers, we found that only 21.9% acknowledged the potential effects of infections on animal performance in the text, and only 5.1% of studies treated animals for infection (i.e. parasite control) or considered infection status in the statistical analyses (i.e. parasite analysis). Parasite inclusion, control and analysis were higher in laboratory compared to field studies and higher for physiological studies compared to behavioural studies but did not differ among journals, performance trait categories and taxonomic groups. Overall, our literature review suggests that parasites are sorely under-acknowledged by researchers in recent years despite growing evidence that infections can modify animal performance. Given the ubiquity of parasites in the environment, we encourage scientists to consider individual infection status when assessing performance of wild animals. We also suggest ways for researchers to implement such practices in both experimental and observational studies.
DOI: 10.6084/m9.figshare.21651503
title: Initial Analysis Results

description: `core-snippy-genome.aln.gz` - Multiple genome alignment using SNIPPY with C. tetani E88 as reference `core-snippy-genome.tre` - Phylogenetic tree based on multiple genome alignment `core-snippy-RAxML_tree.tre` - RaxML-generated phylogenetic tree based on multiple genome alignment `TeNT-MSA-nucl.mfa` - Multiple sequence alignment of TeNT sequences from modern C. tetani and aDNA samples (nucleotide) `TeNT-MSA-aa.mfa` - Multiple sequence alignment of TeNT sequences from modern C. tetani and aDNA samples (amino acid) `TeNT-newick.tre` - Phylogenetic tree based on TeNT MSA (nucleotide)
DOI: 10.6084/m9.figshare.21651503.v1
title: Initial Analysis Results

description: `core-snippy-genome.aln.gz` - Multiple genome alignment using SNIPPY with C. tetani E88 as reference `core-snippy-genome.tre` - Phylogenetic tree based on multiple genome alignment `core-snippy-RAxML_tree.tre` - RaxML-generated phylogenetic tree based on multiple genome alignment `TeNT-MSA-nucl.mfa` - Multiple sequence alignment of TeNT sequences from modern C. tetani and aDNA samples (nucleotide) `TeNT-MSA-aa.mfa` - Multiple sequence alignment of TeNT sequences from modern C. tetani and aDNA samples (amino acid) `TeNT-newick.tre` - Phylogenetic tree based on TeNT MSA (nucleotide)
DOI: 10.25921/xfem-xj15
title: ES60 Water Column Sonar Data Collected During GOA07VA
DOI: 10.18112/openneuro.ds004313.v2.0.3
title: Evaluating methods for measuring background connectivity in slow event-related fMRI designs
DOI: 10.5281/zenodo.7383338
title: Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms - SensitivityAnalysis

description: The dataset "Sensitivity Analysis" consists of image sequences (videos) for apple detection and tracking and its corresponding ground truth. The ground truth is presented in MOT format. This dataset is part of the paper: Villacrés, J., Viscaino, M., Delpiano, J., Vougioukas, S. & Cheein, F. A. (2022). Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms. <em>Computers and Electronics in Agriculture</em>. The article is currently accepted. For a better reference format, please refer to the journal's official website. If you have used the material presented in this data set, please cite the previous article. For more information regarding the dataset, please refer to the paper mentioned below.
DOI: 10.5281/zenodo.7383337
title: Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms - SensitivityAnalysis

description: The dataset "Sensitivity Analysis" consists of image sequences (videos) for apple detection and tracking and its corresponding ground truth. The ground truth is presented in MOT format. This dataset is part of the paper: Villacrés, J., Viscaino, M., Delpiano, J., Vougioukas, S. & Cheein, F. A. (2022). Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms. <em>Computers and Electronics in Agriculture</em>. The article is currently accepted. For a better reference format, please refer to the journal's official website. If you have used the material presented in this data set, please cite the previous article. For more information regarding the dataset, please refer to the paper mentioned below.
DOI: 10.15151/esrf-es-1014508209
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: This proposal clusters crystallography projects at the EMBL Grenoble, IBS and IAB working on different topics with a focus on nucleic acid-protein complexes and host-pathogen interactions. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (i.e. Soleil, Petra II, Diamond, SLS)
DOI: 10.6084/m9.figshare.20208026.v2
title: Code and dataset for the budget closure correction method Minimized Series Deviation method (MSD)

description: Enforcing terrestrial water budget closure is critical for obtaining consistent datasets of budget components to understand the changes and availability of water resources over time. However, most existing budget closure correction methods (BCCs) are significantly affected by random errors and outliers in the budget-component products. Moreover, these existing BCCs do not fully account for the preselection of high-precision input datasets before enforcing the water budget closure, resulting in uncertainties in the budget-corrected datasets. In this study, a two-step method was proposed to enforce the water budget closure of satellite-based hydrological products. First, high-precision budget-component datasets were selected and second, the water budget closure of the selected high-precision datasets was then enforced by proposing an improved BCC strategy, i.e., the Minimized Series Deviation method (MSD). The performance of the proposed two-step method was verified in 24 global basins by comparing it to three existing BCCs of varying complexity, i.e., Proportional Redistribution (PR), Constrained Kalman Filter (CKF), and Multiple Collocation (MCL). The results showed that compared to the existing BCCs, the proposed two-step method significantly improved the accuracy of budget-corrected datasets between 2 and 19% (statistical analysis was based root mean square error (RMSE) and mean absolute error (MAE). This study also summarized the main factors influencing the performance of the existing BCCs and their further development prospects based on the results. This provides insight into the expansion of theories and methods related to closing the terrestrial water budget.
DOI: 10.5281/zenodo.7384288
title: Conv Net Data

description: Data set of images and labels to train the neural net used in "Orbit to ground framework to decode and predict biosignature patterns in terrestrial analogs" Nature Astronomy, 2023.
DOI: 10.5281/zenodo.7384287
title: Conv Net Data

description: Data set of images and labels to train the neural net used in "Orbit to ground framework to decode and predict biosignature patterns in terrestrial analogs" Nature Astronomy, 2023.
DOI: 10.6084/m9.figshare.20208026.v3
title: Code and dataset for the budget closure correction method Minimized Series Deviation method (MSD)

description: Enforcing terrestrial water budget closure is critical for obtaining consistent datasets of budget components to understand the changes and availability of water resources over time. However, most existing budget closure correction methods (BCCs) are significantly affected by random errors and outliers in the budget-component products. Moreover, these existing BCCs do not fully account for the preselection of high-precision input datasets before enforcing the water budget closure, resulting in uncertainties in the budget-corrected datasets. In this study, a two-step method was proposed to enforce the water budget closure of satellite-based hydrological products. First, high-precision budget-component datasets were selected and second, the water budget closure of the selected high-precision datasets was then enforced by proposing an improved BCC strategy, i.e., the Minimized Series Deviation method (MSD). The performance of the proposed two-step method was verified in 24 global basins by comparing it to three existing BCCs of varying complexity, i.e., Proportional Redistribution (PR), Constrained Kalman Filter (CKF), and Multiple Collocation (MCL). The results showed that compared to the existing BCCs, the proposed two-step method significantly improved the accuracy of budget-corrected datasets between 2 and 19% (statistical analysis was based root mean square error (RMSE) and mean absolute error (MAE). This study also summarized the main factors influencing the performance of the existing BCCs and their further development prospects based on the results. This provides insight into the expansion of theories and methods related to closing the terrestrial water budget.
DOI: 10.5281/zenodo.7374782
title: Marine heatwave projection output as in Hayashida et al. (2020)

description: <strong>There are two files</strong> <em>grid_spec_simple.nc</em> contains the grid information for OFAM3 (e.g. longitude, latitude, cell area). <em>mhwout_1982-2018_OFAM_cmip5.nc</em> contains the MHW metrics over 1982-2050 simulated by OFAM3: It’s a 4D array [3, 69, 1200, 3600], where: The first dimension refers to the MHW metric (count, total_days, total_icum). ‘count’ is the frequency (number of MHW events in a year), ‘total_days’ is the annual MHW days, and ‘total_icum’ is the total cumulative intensity (degree days). To calculate mean MHW intensity (as in Hayashida et al. (2020)), you need to divide ‘total_icum’ by ‘total_days’. The second dimension is the years from 1982-2050. The third and fourth dimensions are the latitude and longitude grid points. <strong>Reference </strong> Hayashida, H., Matear, R.J., Strutton, P.G. <em>et al.</em> Insights into projected changes in marine heatwaves from a high-resolution ocean circulation model. <em>Nat Commun</em> <strong>11</strong>, 4352 (2020). https://doi.org/10.1038/s41467-020-18241-x
DOI: 10.5281/zenodo.7374781
title: Marine heatwave projection output as in Hayashida et al. (2020)

description: <strong>There are two files</strong> <em>grid_spec_simple.nc</em> contains the grid information for OFAM3 (e.g. longitude, latitude, cell area). <em>mhwout_1982-2018_OFAM_cmip5.nc</em> contains the MHW metrics over 1982-2050 simulated by OFAM3: It’s a 4D array [3, 69, 1200, 3600], where: The first dimension refers to the MHW metric (count, total_days, total_icum). ‘count’ is the frequency (number of MHW events in a year), ‘total_days’ is the annual MHW days, and ‘total_icum’ is the total cumulative intensity (degree days). To calculate mean MHW intensity (as in Hayashida et al. (2020)), you need to divide ‘total_icum’ by ‘total_days’. The second dimension is the years from 1982-2050. The third and fourth dimensions are the latitude and longitude grid points. <strong>Reference </strong> Hayashida, H., Matear, R.J., Strutton, P.G. <em>et al.</em> Insights into projected changes in marine heatwaves from a high-resolution ocean circulation model. <em>Nat Commun</em> <strong>11</strong>, 4352 (2020). https://doi.org/10.1038/s41467-020-18241-x
DOI: 10.6084/m9.figshare.21651587
title: ELISA and PCR

description: The data represent elisa level and genotype of CTLA4 polymorphism
DOI: 10.6084/m9.figshare.21651590
title: Raw_data

description: Raw_data _files
DOI: 10.6084/m9.figshare.21651590.v2
title: Raw_data

description: Raw_data _files
DOI: 10.6084/m9.figshare.21651590.v1
title: Untitled Item

description: Raw_data _files
DOI: 10.5517/ccdc.csd.cc2c4fnm
title: CCDC 2179010: Experimental Crystal Structure Determination

description: Related Article: Ali A.A. Al-Riyahee, Peter N. Horton, Simon J. Coles, Angelo J. Amoroso, Simon J. A. Pope|2022|Polyhedron|225|116079|doi:10.1016/j.poly.2022.116079
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.cc2c4fpn
title: CCDC 2179011: Experimental Crystal Structure Determination

description: Related Article: Ali A.A. Al-Riyahee, Peter N. Horton, Simon J. Coles, Angelo J. Amoroso, Simon J. A. Pope|2022|Polyhedron|225|116079|doi:10.1016/j.poly.2022.116079
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.cc2c4fqp
title: CCDC 2179012: Experimental Crystal Structure Determination

description: Related Article: Ali A.A. Al-Riyahee, Peter N. Horton, Simon J. Coles, Angelo J. Amoroso, Simon J. A. Pope|2022|Polyhedron|225|116079|doi:10.1016/j.poly.2022.116079
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.cc2c4frq
title: CCDC 2179013: Experimental Crystal Structure Determination

description: Related Article: Ali A.A. Al-Riyahee, Peter N. Horton, Simon J. Coles, Angelo J. Amoroso, Simon J. A. Pope|2022|Polyhedron|225|116079|doi:10.1016/j.poly.2022.116079
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.cc2cn046
title: CCDC 2193967: Experimental Crystal Structure Determination

description: Related Article: A. Felczak, U. Kalinowska-Lis, J. Kusz, L. Chęcińska|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|722|doi:10.1107/S2053229622010300
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.cc2cn057
title: CCDC 2193968: Experimental Crystal Structure Determination

description: Related Article: A. Felczak, U. Kalinowska-Lis, J. Kusz, L. Chęcińska|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|722|doi:10.1107/S2053229622010300
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.cc2dc5gf
title: CCDC 2215274: Experimental Crystal Structure Determination

description: Related Article: M. Boutebdja, N. Benarous, A.L. Boulkedid, A. Lehleh, A. Beghidja|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1151|doi:10.1107/S2056989022010167
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.cc2dcgbl
title: CCDC 2215549: Experimental Crystal Structure Determination

description: Related Article: O.S. Vynohradov, Y.M. Davydenko, V.A. Pavlenko, D.D. Naumova, S. Shova, D. Petlovanyi|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1156|doi:10.1107/S2056989022010362
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.cc2dcgcm
title: CCDC 2215550: Experimental Crystal Structure Determination

description: Related Article: A.A. Pollock, H.A. Huther, C.M. Birch, E.W. Reinheimer, D.E. Lewis, D.L. Gerlach|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1161|doi:10.1107/S2056989022010374
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.98q9j6
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tritonia crocata",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009976-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dmfvj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tritonia crocata",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009977-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9fr-t6p-kzf
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nap-8gc-pdh
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7ak-9xv-7f4
title: Danaini

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jj6-q9z-jjp
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jqc-byr-ea4
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1b3-fpx-9yx
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/23x-81t-f3b
title: Danaini

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5db-ctq-8cx
title: Danaini

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wf4-zx8-j0g
title: Danaini

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eyk-sy6-gah
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/da6-110-mpg
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.b7qafb
title: Occurrence Download

description: A dataset containing 9957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Naja atra, Bungarus, Azemiops, Daboia, Deinagkistrodon, Gloydius, Naja kaouthia, Ophiophagus, Ovophis, Protobothrops, Sinomicrurus, Trimeresurus, Vipera, Viridovipera, Sinovipera, Himalayophis)"
 ]
}

 The dataset includes 9957 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009979-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/pcp-0bn-tng
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0tl-0yg-4gj
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/58f-26h-mqg
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8xn-3zl-kzc
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lnw-7bv-kbm
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/55l-pzv-6nt
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6kc-vhp-pag
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/91l-r46-lz6
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ems-qgl-h0k
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8p3-bas-dga
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.