cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6092/hmh8-x461
title: North East Atlantic Ocean - Eutrophication and Acidity aggregated datasets 1921/2020 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (18 parameters with quality flag indicators), and covers the Northeast Atlantic Ocean (40W) with 381639 CDI records (381085 Vertical profiles and 554 Time series). Vertical profiles temporal range is from 1921-10-15 to 2020-10-16. Time series temporal range is from 1974-06-14 to 2019-04-24. Data were aggregated and quality controlled by 'IFREMER / IDM / SISMER - Scientific Information Systems for the SEA' from France.<br> Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium.<br> Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/.<br> Version 1.1, updated on 2022-02-08.<br> Detailed documentation is available at: https://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713<br> The aggregated dataset can be downloaded as ODV collection and spreadsheet, which is composed of metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).<br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.57745/ym6chz
title: Godet_et_al_channel_stat.tab

description: :unav
DOI: 10.57745/7mk869
title: raw_nirs_data.tar

description: :unav
DOI: 10.6092/42t8-zy38
title: North Sea - Contaminants aggregated datasets 1959/2019 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants, and covers the North Sea with 34978 CDI records divided per matrices: 1460 biota, 24740 water profiles, 6090 sediment profiles and 261 sediment time series. For water, the temporal range is from 1959-10-03 to 2019-12-30. For sediment, the temporal range is from 1970-07-11 to 2019-12-18 for profile data and from 1993-09-16 to 2015-06-15 for the time series. For biota, the temporal range is from 1979-02-26 to 2018-02-28. Data were aggregated and quality controlled by 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde from Denmark'.<br> Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions.<br> Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.<br> Detailed documentation is available at: https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4<br> The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).<br> The same dataset is offered also as XLSX file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).<br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.6092/36hb-6g72
title: North Sea - Contaminants aggregated datasets 1970/2017 v2018

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants (59 parameters), and covers the North Sea with 34978 CDI records divided per matrices: 3909 biota time series, 28071 water profiles, 2998 sediment profiles. Vertical profiles temporal range is from 1970-02-17 to 2017-10-26. Time series temporal range is from 1979-02-26 to 2017-02-28. Data were aggregated and quality controlled by ‘Aarhus University, Department of Bioscience, Marine Ecology Roskilde from Denmark.
description: Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions."" Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.""The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).""The same dataset is offered also as XLSX file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).The 59 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 .""Detailed documentation will be published soon.""The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/27e6154c-ac18-48bc-8530-17213bcfc74f
title: North Sea - DIVA 4D 6-year analysis of Water body dissolved oxygen saturation 1980/2017 v2018

description: The "North Sea - DIVA 4D 6-year analysis of Water body dissolved oxygen saturation 1980/2017 v2018" is the 4D gridded analysis for water body dissolved oxygen saturation in the North Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'."" Every step of the time dimension corresponds to a 6-year average moving from 1980 to 2017. The depth dimension spans from surface to 500m with 10 vertical levels."" The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/d0e36bce-91d2-4baf-996d-2be3e16164f1
title: North Sea - DIVAnd 4D 6-year seasonal analysis of Water body chlorophyll-a 1980/2020 v2021

description: Moving 6-year analysis and visualization of Water body chlorophyll-a in the North Sea, four seasons: winter (dec-feb), spring (mar-may), summer (jun-aug), autumn (sep-nov). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.2. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
DOI: 10.21227/4bzd-jm32
title: Multi-Person Localization and Vital Sign Estimation Radar Dataset

description: The large number and scale of natural and manmade disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams. Semi-autonomous rescue robots are beneficial, especially when searching inaccessible terrains, or dangerous environments, such as collapsed infrastructures. For search and rescue missions in degraded visual conditions or non-line of sight scenarios, radar-based approaches may contribute to acquire valuable, and otherwise unavailable information. This article presents a complete signal processing chain for radar-based multi-person detection, 2D-MUSIC localization and breathing frequency estimation. The proposed method shows promising results on a challenging emergency response dataset that we collected using a semi-autonomous robot equipped with a commercially available through-wall radar system. The dataset is composed of 62 scenarios of various difficulty levels with up to five persons captured in different postures, angles and ranges including wooden and stone obstacles that block the radar line of sight. Ground truth data for reference locations, respiration, electrocardiogram, and acceleration signals are included. The ethics commission of ’Technische Universität Darmstadt’ (EK 30/2023, date of approval: 10. May 2023) gave their consent in recording and publication of the dataset.
DOI: 10.6092/3a546c9a-0b9f-4eaf-97eb-83e7dca30276
title: North Sea - DIVAnd 4D 6-year seasonal analysis of Water body dissolved inorganic nitrogen (DIN) 1980/2020 v2021

description: Moving 6-year analysis and visualization of Water body dissolved inorganic nitrogen (DIN ) in the North Sea, four seasons: winter (dec-feb), spring (mar-may), summer (jun-aug), autumn (sep-nov). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.2. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
DOI: 10.6092/fb06110c-91fb-4f33-ba7c-b9530090b9fe
title: North Sea - DIVAnd 4D 6-year seasonal analysis of Water body dissolved oxygen concentration 1980/2020 v2021

description: Moving 6-year analysis and visualization of Water body dissolved oxygen concentration in the North Sea, four seasons: winter (dec-feb), spring (mar-may), summer (jun-aug), autumn (sep-nov). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.2. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
DOI: 10.6092/61170426-61e4-40c0-b45b-7e23fa1dbe84
title: North Sea - DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1980/2020 v2021

description: Moving 6-year analysis and visualization of Water body phosphate in the North Sea, four seasons: winter (dec-feb), spring (mar-may), summer (jun-aug), autumn (sep-nov). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.2. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
DOI: 10.6092/62eebfd8-f97f-4e28-9e2e-9677a3b165ad
title: North Sea - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1980/2020 v2021

description: Moving 6-year analysis and visualization of Water body silicate in the North Sea, four seasons: winter (dec-feb), spring (mar-may), summer (jun-aug), autumn (sep-nov). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.2. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
DOI: 10.5281/zenodo.7962759
title: Source data for VALIS: Virtual Alignment of pathoLogy Image Series for multi-gigapixel whole slide images publication

description: Source data used to create figures in <em>VALIS: Virtual Alignment of pathoLogy Image Series for multi-gigapixel whole slide images</em> (Nature Communications, 2023)
DOI: 10.6092/fc711389-b876-4f23-a6f7-397f99528ae7
title: North Sea - Eutrophication and Acidity aggregated datasets 1902/2017 v2018

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets. This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Ocean acidification (15 parameters with quality flag indicators), and covers the North Sea with 4706088 CDI records. Data were aggregated and quality controlled by "Aarhus University, Department of Bioscience, Marine Ecology Roskilde" from Denmark.
description: Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions (https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Quality flags for Water body dissolved inorganic nitrogen (DIN) should be disregarded since that currently they are not based on the original quality flags of nitrite, nitrate and ammonium."" Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/."" Detailed documentation is available at: https://doi.org/10.6092/ec8207ef-ed81-4ee5-bf48-e26ff16bf02e"" The aggregated dataset can be downloaded as ODV spreadsheet, which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV)."" The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/64h8-3q06
title: North Sea - Eutrophication and Acidity aggregated datasets 1902/2020 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (14 parameters with quality flag indicators), and covers the North Sea with 587584 CDI records. Data were aggregated and quality controlled by 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' from Denmark.<br> Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Quality flags for Water body dissolved inorganic nitrogen (DIN) should be disregarded since that currently they are not based on the original quality flags of nitrite, nitrate and ammonium. Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/.<br> Detailed documentation is available at: https://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713<br> The aggregated dataset can be downloaded as ODV collection and spreadsheet, which is composed of metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (More information can be found at: http://www.seadatanet.org/Standards-Software/Software/ODV). The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.5281/zenodo.7927054
title: The First Transcriptomic Atlas of the Adult Lacrimal Gland Reveals Epithelial Complexity and Identifies Novel Progenitor Cells in Mice

description: This project contains the R objects and code to reproduce the analyses and figures presented in the research article: 'The First Transcriptomic Atlas of the Adult Lacrimal Gland Reveals Epithelial Complexity and Identifies Novel Progenitor Cells in Mice.' <em>Cells</em> <strong>2023</strong>, <em>12</em>, 1435. https://doi.org/10.3390/cells12101435 Raw data (FASTQ files and CellRanger output files used for the preprocessing of individual datasets) can be found on Gene Expression Omnibus database (www.ncbi.nlm.nih.gov/geo/) under accession # GSE232146.
description: This work was supported by: The National Eye Institute (NEI), United States, grants 5R01EY026202, 5R01EY030447 National Institute of Dental and Craniofacial Research (NIDCR) grant R01DE031044 National Institute of Aging, NIH, under Award Number P30AG068635 (San Diego Nathan Shock Center Pilot Grant) The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
description: {"references": ["Delcroix, V.; Mauduit, O.; Lee, H.S.; Ivanova, A.; Umazume, T.; Knox, S.M.; de Paiva, C.S.; Dartt, D.A.; Makarenkova, H.P. The First Transcriptomic Atlas of the Adult Lacrimal Gland Reveals Epithelial Complexity and Identifies Novel Progenitor Cells in Mice. Cells 2023, 12, 1435. https://doi.org/10.3390/cells12101435"]}
DOI: 10.5281/zenodo.7927055
title: The First Transcriptomic Atlas of the Adult Lacrimal Gland Reveals Epithelial Complexity and Identifies Novel Progenitor Cells in Mice

description: This project contains the R objects and code to reproduce the analyses and figures presented in the research article: 'The First Transcriptomic Atlas of the Adult Lacrimal Gland Reveals Epithelial Complexity and Identifies Novel Progenitor Cells in Mice.' <em>Cells</em> <strong>2023</strong>, <em>12</em>, 1435. https://doi.org/10.3390/cells12101435 Raw data (FASTQ files and CellRanger output files used for the preprocessing of individual datasets) can be found on Gene Expression Omnibus database (www.ncbi.nlm.nih.gov/geo/) under accession # GSE232146.
description: This work was supported by: The National Eye Institute (NEI), United States, grants 5R01EY026202, 5R01EY030447 National Institute of Dental and Craniofacial Research (NIDCR) grant R01DE031044 National Institute of Aging, NIH, under Award Number P30AG068635 (San Diego Nathan Shock Center Pilot Grant) The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
description: {"references": ["Delcroix, V.; Mauduit, O.; Lee, H.S.; Ivanova, A.; Umazume, T.; Knox, S.M.; de Paiva, C.S.; Dartt, D.A.; Makarenkova, H.P. The First Transcriptomic Atlas of the Adult Lacrimal Gland Reveals Epithelial Complexity and Identifies Novel Progenitor Cells in Mice. Cells 2023, 12, 1435. https://doi.org/10.3390/cells12101435"]}
DOI: 10.5281/zenodo.7962839
title: the data for WPV model for budburst

description: The budburst data in five populations for three species
DOI: 10.15132/10000203
title: Tayside & Fife Diabetes – Summary and a range of diabetes related datasets

description: Abstract
This data set provides an overview of the type of diabetes, the date it was diagnosed, the treatment type and healthboard the patient belongs to.

description: Documentation
This dataset contains a wide range of healthcare data relating to diabetes care for all diabetic patients across the Tayside and Fife regions in Scotland. Data subjects contain, but are not limited to:

Albumin measurements
Amputations
Blood Glucose
BMI
Blood Pressure
Clinical Outcomes
Ethnicity
Eyes
Foot ulcers
Lower Limbs
Smoking & Alcohol
Treatment Type(s)
Drug Prescriptions