cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28glx8
title: CCDC 2099410: Experimental Crystal Structure Determination

description: Related Article: Manuel Kirchhof, Karina Abitaev, Abdulwahab Abouhaileh, Katrin Gugeler, Wolfgang Frey, Anna Zens, Johannes Kästner, Thomas Sottmann, Sabine Laschat|2021|Chem.-Eur.J.|27|16853|doi:10.1002/chem.202102752
DOI: 10.5517/ccdc.csd.cc28glzb
title: CCDC 2099412: Experimental Crystal Structure Determination

description: Related Article: Manuel Kirchhof, Karina Abitaev, Abdulwahab Abouhaileh, Katrin Gugeler, Wolfgang Frey, Anna Zens, Johannes Kästner, Thomas Sottmann, Sabine Laschat|2021|Chem.-Eur.J.|27|16853|doi:10.1002/chem.202102752
DOI: 10.13020/5n0j-wx73
title: ROCR Isoprene Retrievals from the CrIS Satellite Sensor
DOI: 10.15139/s3/ljh0g4
title: Dataset for Cytokine Signature Clusters as a Tool to Compare Changes associated with Tobacco Product Use in Upper and Lower Airway Samples

description: Cytokine data were derived from nasal lavage fluid (NLF), nasal epithelial lining fluid (NELF), sputum, and circulating serum samples collected from 14 non-smokers, 13 cigarette smokers, and 17 e-cigarette users. Cytokine profiles were evaluated for correlation across compartments in paired samples. An unsupervised machine learning approach was utilized to assess whether cluster-based analyses could yield more sensitivity than individual cytokine comparisons when determining differences between compartments and tobacco use groups.
DOI: 10.5281/zenodo.6311289
title: Electrophorus electricus Zanfona 1

description: .
DOI: 10.5281/zenodo.6311288
title: Electrophorus electricus Zanfona 1

description: .
DOI: 10.6084/m9.figshare.19251857.v1
title: Effects of Climate and Electromagnetics on Gender Inequality and Cognitive Performance

description: Data for 130 countries on climatic, electromagnetic, psychological, and social variables.
DOI: 10.6084/m9.figshare.19251857
title: Effects of Climate and Electromagnetics on Gender Inequality and Cognitive Performance

description: Data for 130 countries on climatic, electromagnetic, psychological, and social variables.
DOI: 10.6084/m9.figshare.19077809
title: Metadata record for: Data on the diets of Salish Sea harbour seals from DNA metabarcoding

description: This dataset contains key characteristics about the data described in the Data Descriptor Data on the diets of Salish Sea harbour seals from DNA metabarcoding. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16764229
title: Metadata record for: Worldwide diversity of endophytic fungi and insects associated with dormant tree twigs

description: This dataset contains key characteristics about the data described in the Data Descriptor Worldwide diversity of endophytic fungi and insects associated with dormant tree twigs. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.25345/c5bc3sz6h
title: MassIVE MSV000088931 - GL(+)-LC-21M032 lipidomica positivo cacao
title: Estudio de lipidomica negativa en licor de cacao usando LCMS
DOI: 10.25494/p63w3m
title: North Central Coast: Aerial surveys and classification of Bolinas Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage is of the Bolinas USGS orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.6084/m9.figshare.16681933
title: Metadata record for: A reference set of clinically relevant adverse drug-drug interactions

description: This dataset contains key characteristics about the data described in the Data Descriptor A reference set of clinically relevant adverse drug-drug interactions. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16837405
title: Script for fluorescence data treatment

description: Script for data processing used in the paper "Light in the cave: opal coating detection by UV-light illumination and fluorescence in rock art context" (hal-03383193)Data type : UV fluorescence emission spectraSoftware: Matlab<br>script_fluorescence_Dfluo200114b file: script for single fluorescence data treatment (Dfluo200114bm folder)<br>script_fluorescence_Dfluo_carto_200825 file: script for data treatment of fluorescence cartography measurment<br>
DOI: 10.6084/m9.figshare.16837405.v1
title: Script for fluorescence data treatment

description: Script for data processing used in the paper "Light in the cave: opal coating detection by UV-light illumination and fluorescence in rock art context" (hal-03383193)Data type : UV fluorescence emission spectraSoftware: Matlab<br>
DOI: 10.25494/p6030m
title: North Central Coast: Aerial surveys and classification of Drakes Bay Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage is of the Drakes Bay USGS orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.5281/zenodo.6312518
title: Table of hsp65 OTUs (cutoff 99%), their inferred taxonomic allocations according to the hsp65 database and, for selected OTUs, closest species obtained from GenBank (BLAST) with percent identity.

description: This table is part of the paper intitled "Comparison of Actinobacteria communities from human-impacted and pristine karst caves"
DOI: 10.5281/zenodo.6312516
title: Table of hsp65 OTUs (cutoff 99%), their inferred taxonomic allocations according to the hsp65 database and, for selected OTUs, closest species obtained from GenBank (BLAST) with percent identity.

description: This table is part of the paper intitled "Comparison of Actinobacteria communities from human-impacted and pristine karst caves"
DOI: 10.25494/p6vc85
title: North Central Coast: Aerial surveys and classification of Double Point Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).The Adobe Acrobat (.PDF) browse style image is a reduced-resolution snapshot of the dataset. This particular file shows coverage is of the Double Point USGS orthoquad region. Ocean Imaging acquired the imagery used for this analysis on 11/02/2010 using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6qk5v
title: North Central Coast: Aerial surveys and classification of Inverness Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).The Adobe Acrobat (.PDF) browse style image is a reduced-resolution snapshot of the dataset. This particular file shows coverage is of the Inverness USGS orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6kw3z
title: North Central Coast: Aerial surveys and classification of Tomales Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).The Adobe Acrobat (.PDF) browse style image is a reduced-resolution snapshot of the dataset. This particular file shows coverage is of the Tomales USGS orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.6084/m9.figshare.16837324.v3
title: Dfluo_carto_200825.zip

description: Raw data : cartography of fluorescence emissionInstrument : LIF spectrofluorimeter (conception: EDYTEM laboratory)Settings : Excitation 266 nm, grating 300 lines, central wavelength 620 nm, acquisition time 100 ms, entrance slit width 0.05 mm, resolution 100 µm x 100 µmSample : S-ECA-05 (Points cave, France)Software : Matlab<br>Data: <i>carto_pts_eca1705_07.dat</i>+ 1 file : wavelengths <i>carto_pts_eca1705_07.wl</i>+ 1 file : measurment steps <i>carto_pts_eca1705_07.xsc</i>+ 1 file : instrument correction <i>qeccd.txt</i><br>+ 1 file : sample photograph under UV light <i>seca_05_lum_uv2.jpg</i><br>
DOI: 10.6084/m9.figshare.16837324
title: Dfluo_carto_200825.zip

description: Raw data : cartography of fluorescence emissionInstrument : LIF spectrofluorimeter (conception: EDYTEM laboratory)Settings : Excitation 266 nm, grating 300 lines, central wavelength 620 nm, acquisition time 100 ms, entrance slit width 0.05 mm, resolution 100 µm x 100 µmSample : S-ECA-05 (Points cave, France)Software : Matlab<br>Data: <i>carto_pts_eca1705_07.dat</i>+ 1 file : wavelengths <i>carto_pts_eca1705_07.wl</i>+ 1 file : measurment steps <i>carto_pts_eca1705_07.xsc</i>+ 1 file : instrument correction <i>qeccd.txt</i><br>+ 1 file : sample photograph under UV light <i>seca_05_lum_uv2.jpg</i><br>
DOI: 10.6084/m9.figshare.16837324.v2
title: Dfluo_carto_200825.zip

description: Raw data : cartography of fluorescence emissionInstrument : LIF spectrofluorimeter (conception: EDYTEM laboratory)Settings : Excitation 266 nm, grating 300 lines, central wavelength 620 nm, acquisition time 100 ms, entrance slit width 0.05 mm, resolution 100 µm x 100 µmSample : S-ECA-05 (Points cave, France)Software : Matlab<br>Data: <i>carto_pts_eca1705_07.dat</i>+ 1 file : wavelengths <i>carto_pts_eca1705_07.wl</i>+ 1 file : measures steps <i>carto_pts_eca1705_07.xsc</i>+ 1 file : instrument correction <i>qeccd.txt</i><br>+ 1 file : sample photograph under UV light <i>seca_05_lum_uv2.jpg</i><br>
DOI: 10.25494/p6g30z
title: North Central Coast: Aerial surveys and classification of Arched Rock Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).The Adobe Acrobat (.PDF) browse style image is a reduced-resolution snapshot of the dataset. This particular file shows coverage is of the Arched Rock USGS orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6bc8h
title: North Central Coast: Aerial surveys and classification of Plantation Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).The Adobe Acrobat (.PDF) browse style image is a reduced-resolution snapshot of the dataset. This particular file shows coverage is of the Plantation USGS orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.