cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rr6jfd
title: Occurrence Download

description: A dataset containing 1360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Halictus poeyi Lepeletier, 1841"
 ]
}

 The dataset includes 1360 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0822668.10fu
title: SH0822668.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0822669.10fu
title: SH0822669.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0822670.10fu
title: SH0822670.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0822671.10fu
title: SH0822671.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0822672.10fu
title: SH0822672.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0822673.10fu
title: SH0822673.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0822674.10fu
title: SH0822674.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.wbmvpc
title: Occurrence Download

description: A dataset containing 12124590 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 12124590 records from 2248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077459-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.23967012
title: Dataset "Quantifying the Rightward Bias Extent of Tropical Cyclones’ Cold Wakes"

description: Dataset for figures in the mansucript entitled "Quantifying the Rightward Bias Extent of Tropical Cyclones’ Cold Wakes".
DOI: 10.6084/m9.figshare.23967012.v1
title: Dataset "Quantifying the Rightward Bias Extent of Tropical Cyclones’ Cold Wakes"

description: Dataset for figures in the mansucript entitled "Quantifying the Rightward Bias Extent of Tropical Cyclones’ Cold Wakes".
DOI: 10.6084/m9.figshare.23695422.v2
title: Spring reproductive success influences autumnal malarial load in wild birds

description: The data and R scripts contained in the attached files are associated with the following article: "Spring reproductive success influences autumnal malarial load in wild birds" deposited in BioRxiv on July 30, 2023 by Pigeault and colleagues.In this study we monitored the intensities of infection by two haemosporidian parasites – <i>Plasmodium relictum</i> and <i>P. homonucleophilum</i> – in two wild populations of great tits (<i>Parus major</i>) in Switzerland over three years, to characterize their annual infection dynamics. We also collected data on birds’ reproductive output – laying date, clutch size, fledging success – to determine whether they were associated with infection intensity before (winter), during (spring) and after (autumn) breeding season.
DOI: 10.6084/m9.figshare.23695422.v3
title: Spring reproductive success influences autumnal malarial load in wild birds

description: The data and R scripts contained in the attached files are associated with the following article: "Spring reproductive success influences autumnal malarial load in wild birds" deposited in BioRxiv on July 30, 2023 by Pigeault and colleagues.In this study we monitored the intensities of infection by two haemosporidian parasites – <i>Plasmodium relictum</i> and <i>P. homonucleophilum</i> – in two wild populations of great tits (<i>Parus major</i>) in Switzerland over three years, to characterize their annual infection dynamics. We also collected data on birds’ reproductive output – laying date, clutch size, fledging success – to determine whether they were associated with infection intensity before (winter), during (spring) and after (autumn) breeding season.
DOI: 10.5281/zenodo.8119360
title: SAMap comparison of A. fascicularis

description: Streamlined SAMap pairwise comparisons. Produced by notebooks in the samap/ folder in the https://git.embl.de/musser/chiton10x repository. The directory structure is enforced by the scripts and contains everything needed to reproduce the analysis as well as the results of the analysis. It should be possible to open the pickled files using the appropriate versions of Python and SAMap - for details please refer to the environment .yml file. <strong>aln/:</strong> holds the pairwise maps for all species comparisons. Four-letter species IDs were used throughout the SAMap analysis, and the folders were named accordingly (e.g. `afassmed` for the comparison of <em>_</em><em>A. fascicularis</em><em>_</em> to <em>_</em><em>S. mediterranea</em><em>_</em>). The `species1_to_species2.txt` files include gene names that are harmonised to the corresponding `.h5ad` objects. Additionally, `/base/aln/m8/` holds the MMseqs2 output of the different comparisons in `.m8` format and the translation of the <em>_</em><em>L. vulgaris</em><em>_</em> transcriptome (`raw/`). <strong>raw/</strong>: holds a folder per species. Inside every species folder are, at minimum, the original processed scRNA-seq data in `.h5` or `.h5ad` format (as provided by the authors), information about the cells (various clusterings), gene annotation (gene names, EggNOG-mapper annotation), and the proteome/transcriptome file that was used to produce the annotation. <strong>processed/:</strong> holds the newly made counts-and-metadata object for each species. This includes the post-QC data (only genes/cells the authors kept for their analysis) as well as clustering information and gene names, but has been reset to the raw counts. <strong>results/</strong>: contains the pickled SAMap objects for each comparison (for package versions please consult the conda environment `.yml` file) and a folder of results for each compared species. Each subfolder (`/base/results/species`) contains: the pairwise cluster similarity matrix, visualized as an interactive heatmap (`all_clusters.html`) or static PDF, and saved in `.json` and `.csv` format (`similarity_table.csv`). `gene_pairs.tsv`: a table of significant gene pairs for each cluster mapping. `orthology.csv`: a matrix of pairwise homology for all genes in the species comparison; either 0 (no homology), 1 (same gene family) or 2 (orthologs). the `reports/` folder, with `.html` reports for each pairwise cluster comparison above a certain similarity score threshold.
DOI: 10.5281/zenodo.8119359
title: SAMap comparison of A. fascicularis

description: Streamlined SAMap pairwise comparisons. Produced by notebooks in the samap/ folder in the https://git.embl.de/musser/chiton10x repository. The directory structure is enforced by the scripts and contains everything needed to reproduce the analysis as well as the results of the analysis. It should be possible to open the pickled files using the appropriate versions of Python and SAMap - for details please refer to the environment .yml file. <strong>aln/:</strong> holds the pairwise maps for all species comparisons. Four-letter species IDs were used throughout the SAMap analysis, and the folders were named accordingly (e.g. `afassmed` for the comparison of <em>_</em><em>A. fascicularis</em><em>_</em> to <em>_</em><em>S. mediterranea</em><em>_</em>). The `species1_to_species2.txt` files include gene names that are harmonised to the corresponding `.h5ad` objects. Additionally, `/base/aln/m8/` holds the MMseqs2 output of the different comparisons in `.m8` format and the translation of the <em>_</em><em>L. vulgaris</em><em>_</em> transcriptome (`raw/`). <strong>raw/</strong>: holds a folder per species. Inside every species folder are, at minimum, the original processed scRNA-seq data in `.h5` or `.h5ad` format (as provided by the authors), information about the cells (various clusterings), gene annotation (gene names, EggNOG-mapper annotation), and the proteome/transcriptome file that was used to produce the annotation. <strong>processed/:</strong> holds the newly made counts-and-metadata object for each species. This includes the post-QC data (only genes/cells the authors kept for their analysis) as well as clustering information and gene names, but has been reset to the raw counts. <strong>results/</strong>: contains the pickled SAMap objects for each comparison (for package versions please consult the conda environment `.yml` file) and a folder of results for each compared species. Each subfolder (`/base/results/species`) contains: the pairwise cluster similarity matrix, visualized as an interactive heatmap (`all_clusters.html`) or static PDF, and saved in `.json` and `.csv` format (`similarity_table.csv`). `gene_pairs.tsv`: a table of significant gene pairs for each cluster mapping. `orthology.csv`: a matrix of pairwise homology for all genes in the species comparison; either 0 (no homology), 1 (same gene family) or 2 (orthologs). the `reports/` folder, with `.html` reports for each pairwise cluster comparison above a certain similarity score threshold.
DOI: 10.5281/zenodo.8251916
title: Car Position Detection (CPD)

description: Car Position Detection
DOI: 10.5281/zenodo.8251915
title: Car Position Detection (CPD)

description: Car Position Detection
DOI: 10.5281/zenodo.8251965
title: Unattended Child Detection (SVIRO)

description: Unattended Child Detection
DOI: 10.5281/zenodo.8251964
title: Unattended Child Detection (SVIRO)

description: Unattended Child Detection
DOI: 10.5281/zenodo.8252178
title: clwang

description: organic carbon data of river
DOI: 10.5281/zenodo.8252177
title: clwang

description: organic carbon data of river
DOI: 10.5281/zenodo.7251967
title: Water quality in a basin for drinking water in the North-West of Italy (2022-2023)

description: Information about water quality in La Loggia basin was collected in different seasons in 2022 and 2023, both on the basin surface and at different depths. Samples were collected and analysed in lab, for the following parameters: Total chlorophyll Blue-green algae Diatoms Green algae Planktothrix Transparency Temperature Dissolved oxygen pH Conductivity Turbidity Bromide Bromate Chloride Chlorite Chlorate Fluoride Nitrite Nitrate Orthophosphate Sulfates Samples were collected in the same dates of Sentinel-2 passages, in order to be used for the of satellite derived water quality products.<br> The shared data are not representative of drinking water distributed to users, since a multi-step treatment is performed on raw water in order to assure water safety and law-compliant quality standards. <br> The coordinates of the sampling points are also available in the dataset.
DOI: 10.5281/zenodo.7251968
title: Water quality in a basin for drinking water in the North-West of Italy

description: Information about water quality in La Loggia basin was collected in different seasons in 2022, both on the basin surface and at different depths. Samples were collected and analysed in lab, for the following parameters: Total chlorophyll Blue-green algae Diatoms Green algae Planktothrix Transparency Temperature Dissolved oxygen pH Conductivity Turbidity Bromide Bromate Chloride Chlorite Chlorate Fluoride Nitrite Nitrate Orthophosphate Sulfates Samples were collected in the same dates of Sentinel-2 passages, in order to be used for the of satellite derived water quality products.<br> The shared data are not representative of drinking water distributed to users, since a multi-step treatment is performed on raw water in order to assure water safety and law-compliant quality standards. <br> The coordinates of the sampling points are also available in the dataset.
DOI: 10.5281/zenodo.8252159
title: Water quality in a basin for drinking water in the North-West of Italy (2022-2023)

description: Information about water quality in La Loggia basin was collected in different seasons in 2022 and 2023, both on the basin surface and at different depths. Samples were collected and analysed in lab, for the following parameters: Total chlorophyll Blue-green algae Diatoms Green algae Planktothrix Transparency Temperature Dissolved oxygen pH Conductivity Turbidity Bromide Bromate Chloride Chlorite Chlorate Fluoride Nitrite Nitrate Orthophosphate Sulfates Samples were collected in the same dates of Sentinel-2 passages, in order to be used for the of satellite derived water quality products.<br> The shared data are not representative of drinking water distributed to users, since a multi-step treatment is performed on raw water in order to assure water safety and law-compliant quality standards. <br> The coordinates of the sampling points are also available in the dataset.
DOI: 10.5517/ccxc7wc
title: CCDC 844963: Experimental Crystal Structure Determination

description: Related Article: S.V.Fokin, V.I.Ovcharenko, G.V.Romanenko, E.V.Tret'yakov, A.S.Bogomyakov, L.V.Saloutina, T.I.Filyakova, V.I.Saloutin, V.N.Carushin, O.N.Chupakhin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||798|
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/ccxc7xd
title: CCDC 844964: Experimental Crystal Structure Determination

description: Related Article: S.V.Fokin, V.I.Ovcharenko, G.V.Romanenko, E.V.Tret'yakov, A.S.Bogomyakov, L.V.Saloutina, T.I.Filyakova, V.I.Saloutin, V.N.Carushin, O.N.Chupakhin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||798|
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/ccxc7yf
title: CCDC 844965: Experimental Crystal Structure Determination

description: Related Article: S.V.Fokin, V.I.Ovcharenko, G.V.Romanenko, E.V.Tret'yakov, A.S.Bogomyakov, L.V.Saloutina, T.I.Filyakova, V.I.Saloutin, V.N.Carushin, O.N.Chupakhin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||798|
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/ccxc7zg
title: CCDC 844966: Experimental Crystal Structure Determination

description: Related Article: S.V.Fokin, V.I.Ovcharenko, G.V.Romanenko, E.V.Tret'yakov, A.S.Bogomyakov, L.V.Saloutina, T.I.Filyakova, V.I.Saloutin, V.N.Carushin, O.N.Chupakhin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||798|
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/ccxc80j
title: CCDC 844967: Experimental Crystal Structure Determination

description: Related Article: S.V.Fokin, V.I.Ovcharenko, G.V.Romanenko, E.V.Tret'yakov, A.S.Bogomyakov, L.V.Saloutina, T.I.Filyakova, V.I.Saloutin, V.N.Carushin, O.N.Chupakhin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||798|
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/ccxc81k
title: CCDC 844968: Experimental Crystal Structure Determination

description: Related Article: S.V.Fokin, V.I.Ovcharenko, G.V.Romanenko, E.V.Tret'yakov, A.S.Bogomyakov, L.V.Saloutina, T.I.Filyakova, V.I.Saloutin, V.N.Carushin, O.N.Chupakhin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||798|
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.