cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1pggp9
title: CCDC 1563041: Experimental Crystal Structure Determination

description: Related Article: Nesrine Amiri, Melek Hajji, Fadia Ben Taheur, Sylviane Chevreux, Thierry Roisnel, Gilles Lemercier, Habib Nasri|2018|J.Solid State Chem.|258|477|doi:10.1016/j.jssc.2017.11.018
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.cc21ct5f
title: CCDC 1888184: Experimental Crystal Structure Determination

description: Related Article: Sunil SeethaLekshmi, S. Amrutha, Mangalampalli S. R. N. Kiran, Sunil Varughese|2019|Cryst.Growth Des.|19|3222|doi:10.1021/acs.cgd.9b00083
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.cc21ct7h
title: CCDC 1888186: Experimental Crystal Structure Determination

description: Related Article: Sunil SeethaLekshmi, S. Amrutha, Mangalampalli S. R. N. Kiran, Sunil Varughese|2019|Cryst.Growth Des.|19|3222|doi:10.1021/acs.cgd.9b00083
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.8278550
title: Multispectral Images of the Euchologium Sinaiticum, Pars Nova (Codex Sin. Slav. NF 1)

description: Multispectral Images of the Euchologium Sinaiticum, Pars Nova (Codex Sin. Slav. NF 1), acquired in St. Catherine's Monastery, Egypt, in 2007. Detailled descriptions of image acquisition and usage are found in<em> NF1_Images_Documentation.pdf</em>.
DOI: 10.5281/zenodo.8278551
title: Multispectral Images of the Euchologium Sinaiticum, Pars Nova (Codex Sin. Slav. NF 1)

description: Multispectral Images of the Euchologium Sinaiticum, Pars Nova (Codex Sin. Slav. NF 1), acquired in St. Catherine's Monastery, Egypt, in 2007. Detailled descriptions of image acquisition and usage are found in<em> NF1_Images_Documentation.pdf</em>.
DOI: 10.5281/zenodo.6597338
title: Minimal dataset & code for proof of concept - Argoslide - Fiji - OMERO

description: An open-source workflow for assessing light microscope performance using a single micropattern. Romain Guiet, Thierry Laroche, José Artacho, Nicolas Chiaruttini, Olivier Burri, Arne Seitz The growing need for reliable quantitative measurements in light microscopy has been identified by the community recently and led to the creation of an initiative called Quality Assessment and Reproducibility for Instruments & Images in Light Microscopy (QUAREP-LiMI). One of the aims is to push for the creation of simple, direct, reliable and widely adoptable instrument quality controls. This serves for defect detection, continuous proof of the instrument's ability to reliably produce quality imaging data, and the possibility to compare performance across devices. By lowering the learning curve for facilities and laboratories through simple robust protocols and as-automated-as-possible open source image processing, we produced a workflow for the acquisition and measurements of typical light microscope metrics using a single pattern from a commercially available ArgoLight-SIM slide. Through a fully automated workflow in Fiji, we can measure axial resolution (FWHM ), inter-channel co-registration (Pearson's Correlation Coefficient), field uniformity (local intensities) and field distortion (comparing spatial localization with respect to a simulated pattern) at multiple positions across the field of view, in a single image. Moreover, in order to ease bookkeeping, an OMERO database is used as a backend to store the acquired images, metadata, as well as the resulting metrics and reports. These reports in turn can be used within OMERO Parade to follow instrument performance changes. This workflow is built on open-source software and will facilitate the assessment of instrument quality over time with minimal effort. == INPUTS ==<br> Images to upload and analyse , a template image to find rings ( available : https://doi.org/10.5281/zenodo.6597338)<br> OMERO : <br> - an active user <br> - a project , please project ID at "argoslide_project_ID" (see below)<br> - a dataset, name .LSM980.<br> <br> == OUTPUTS ==<br> Upload images on OMERO, <br> Compute metrics and add them into an OMERO table<br> Add tags to uploaded images<br> <br> = DEPENDENCIES =<br> - omero-simple-client.jar : https://github.com/GReD-Clermont/simple-omero-client<br> update site :<br> - IJ-OpenCV <br> - Multi-Template-Matching
DOI: 10.5281/zenodo.6597337
title: Minimal dataset & code for proof of concept - Argoslide - Fiji - OMERO

description: An open-source workflow for assessing light microscope performance using a single micropattern. Romain Guiet, Thierry Laroche, José Artacho, Nicolas Chiaruttini, Olivier Burri, Arne Seitz The growing need for reliable quantitative measurements in light microscopy has been identified by the community recently and led to the creation of an initiative called Quality Assessment and Reproducibility for Instruments & Images in Light Microscopy (QUAREP-LiMI). One of the aims is to push for the creation of simple, direct, reliable and widely adoptable instrument quality controls. This serves for defect detection, continuous proof of the instrument's ability to reliably produce quality imaging data, and the possibility to compare performance across devices. By lowering the learning curve for facilities and laboratories through simple robust protocols and as-automated-as-possible open source image processing, we produced a workflow for the acquisition and measurements of typical light microscope metrics using a single pattern from a commercially available ArgoLight-SIM slide. Through a fully automated workflow in Fiji, we can measure axial resolution (FWHM ), inter-channel co-registration (Pearson's Correlation Coefficient), field uniformity (local intensities) and field distortion (comparing spatial localization with respect to a simulated pattern) at multiple positions across the field of view, in a single image. Moreover, in order to ease bookkeeping, an OMERO database is used as a backend to store the acquired images, metadata, as well as the resulting metrics and reports. These reports in turn can be used within OMERO Parade to follow instrument performance changes. This workflow is built on open-source software and will facilitate the assessment of instrument quality over time with minimal effort. == INPUTS ==<br> Images to upload and analyse , a template image to find rings ( available : https://doi.org/10.5281/zenodo.6597338)<br> OMERO : <br> - an active user <br> - a project , please project ID at "argoslide_project_ID" (see below)<br> - a dataset, name .LSM980.<br> <br> == OUTPUTS ==<br> Upload images on OMERO, <br> Compute metrics and add them into an OMERO table<br> Add tags to uploaded images<br> <br> = DEPENDENCIES =<br> - omero-simple-client.jar : https://github.com/GReD-Clermont/simple-omero-client<br> update site :<br> - IJ-OpenCV <br> - Multi-Template-Matching
DOI: 10.5281/zenodo.6448979
title: FESOM1.4-REcoM2 4.5 km model analysis of Dissolved Inorganic Nitrogen Fluxes in the central Arctic Ocean

description: This dataset is related to the article "The pan-Arctic continental slope as an intensifying conveyer belt for nutrients in the central Arctic Ocean (1985-2015)." In Global Biogeochemical Cycles (AGU) by Laurent Oziel, Vibe Schourup-Kristensen, Claudia Wekerle and Judith Hauck. It provides post-processed and curated data from FESOM1.4-REcoM2 biogeochemical model outputs with a 4.5 km horizontal resolution in the Arctic Ocean. It can be used to reproduce the analysis of the article such as maps (mean state and linear trends) and time series of several bio-physical variables including the Reynolds decomposition of Dissolved Inorganic Nitrogen fluxes: contributions of the synoptic (mean current) versus (sub)mesoscale fluxes, or horizontal versus vertical fluxes. The user can refer to the README.md for more intructions
DOI: 10.5281/zenodo.6448978
title: FESOM1.4-REcoM2 4.5 km model analysis of Dissolved Inorganic Nitrogen Fluxes in the central Arctic Ocean

description: This dataset is related to the article "The pan-Arctic continental slope as an intensifying conveyer belt for nutrients in the central Arctic Ocean (1985-2015)." In Global Biogeochemical Cycles (AGU) by Laurent Oziel, Vibe Schourup-Kristensen, Claudia Wekerle and Judith Hauck. It provides post-processed and curated data from FESOM1.4-REcoM2 biogeochemical model outputs with a 4.5 km horizontal resolution in the Arctic Ocean. It can be used to reproduce the analysis of the article such as maps (mean state and linear trends) and time series of several bio-physical variables including the Reynolds decomposition of Dissolved Inorganic Nitrogen fluxes: contributions of the synoptic (mean current) versus (sub)mesoscale fluxes, or horizontal versus vertical fluxes. The user can refer to the README.md for more intructions
DOI: 10.5281/zenodo.6597305
title: OpenSimHub/SYSOPT-WP1-HydropowerControl: 2022-09-SIMS2022

description: This release is for publishing the data set used in the SIMS2022 conference.
DOI: 10.5281/zenodo.6597304
title: OpenSimHub/SYSOPT-WP1-HydropowerControl: 2022-09-SIMS2022

description: This release is for publishing the data set used in the SIMS2022 conference.
DOI: 10.5281/zenodo.6597200
title: Dataset from measurement report: Increasing trend of atmospheric ion concentrations in the boreal forest

description: The concentration of atmospheric ions affects the total aerosol particle number concentrations in the atmosphere as well as atmospheric new particle formation via ion-induced nucleation, ion-ion recombination, and effects on condensational growth. In this study, we investigate the concentrations and long-term trends of atmospheric ions in a boreal forest environment using 16 years of cluster ion (0.8 – 2 nm) and intermediate ion (2 – 7 nm) measurements and characterize the most important factors that explain those trends. We found that the median concentration of cluster ions in a boreal forest was 710 cm-3, the median concentration of 2 – 4 intermediate ions was 14 cm-3 and the median concentration of 4 – 7 nm intermediate ions was 9 cm-3. The concentrations of both cluster and intermediate ions have been increasing over the 16-year measurement period, with cluster ion concentrations increasing by about 1% per year and intermediate ion concentrations increasing 1.7 – 3.9 % a year. The increase in cluster-ion concentrations can be best explained by the decrease in the coagulation sink caused by larger aerosol particles. Meanwhile, the dependence of intermediate ion concentrations on meteorological conditions is evident, but ionization sources and the coagulation sink do not seem to explain the increasing trend. This is likely because the dynamics of intermediate ions are more complicated, so that ionization sources and coagulation sink alone cannot directly explain the variation. Season-specific analysis of the ion concentrations suggests that while coagulation sink is the limiting factor for the ion concentrations in spring and summer, the dynamics are different in autumn and winter. Based on our findings, we recommend that a more comprehensive analysis is needed to determine if the increase in ambient ion concentrations, increasing temperature and changing abundance of condensable vapors makes ion-mediated and ion-induced nucleation pathways in the boreal forest more relevant in the future.
DOI: 10.15468/dl.bb66en
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora tricolor Walsingham, 1899",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083759-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.excuj4
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083758-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgc6pj
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora alnifoliae Barasch, 1934",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 170 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083760-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aczxyg
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "Geometry POLYGON((90.66596 18.27208,154.33404 18.27208,154.33404 43.72792,90.66596 43.72792,90.66596 18.27208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopendra mutilans L.Koch, 1878"
 ]
}

 The dataset includes 469 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083762-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9thyp
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083761-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u5pfm
title: Occurrence Download

description: A dataset containing 466 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora lineolea (Haworth, 1828)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 466 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083763-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zcqj7
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achatina fulica Bowdich, 1822)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation)",
 "Country is one of (India)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 93 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083764-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scxtm7
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083765-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cu6ma3
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora galbulipennella Zeller, 1838",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 121 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083766-240626123714530/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.26826289
title: Supplementary Material for: Telemedicine and Point-of-Care devices: a tale of success for the nurses’ management of patients with chronic illness

description: Medicine
DOI: 10.15468/dl.3nms68
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora genistae Stainton, 1858",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 195 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083767-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yakcys
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083768-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfm9na
title: Occurrence Download

description: A dataset containing 884 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora lusciniaepennella (Treitschke, 1833)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 884 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083769-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69qfht
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083770-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9m6vej
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora trigeminella Fuchs, 1881",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 103 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083771-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fefp68
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora lassella Staudinger, 1859",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 47 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083773-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.