cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25494/p6888v
title: SCR_Aerial_SantaBarbaraIsland_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Santa Barbara Island SMR.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p64g79
title: SCR_Aerial_SantaCatalinaIslandNorth_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Long Point SMR, Blue Cavern SMCA, Arrow Point to Lion Head Point SMCA.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p60s3n
title: SCR_Aerial_SantaCatalinaIslandWest_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Farnsworth Onshore (Catalina Island) SMCA, and Cat Harbor SMCA.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.5281/zenodo.6456363
title: Data for 'Estimating the timing of geophysical commitment to 1.5 and 2.0°C of global warming'

description: This dataset contains all FaIR ensemble parameter prior and posterior distributions; modeled forcing and temperature time series for each Shared Socioeconomic Pathway (SSP); and temperature time series for a cessation of emissions in every year along each SSP.
DOI: 10.5281/zenodo.6456362
title: Data for 'Estimating the timing of geophysical commitment to 1.5 and 2.0°C of global warming'

description: This dataset contains all FaIR ensemble parameter prior and posterior distributions; modeled forcing and temperature time series for each Shared Socioeconomic Pathway (SSP); and temperature time series for a cessation of emissions in every year along each SSP.
DOI: 10.25494/p6w02d
title: SCR_Aerial_SantaCruzIslandNorth_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Painted Cove SMCA.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.5066/f78051vm
title: Water withdrawals by source and category in Louisiana Parishes, 2014-2015

description: Information concerning the availability, use, and quality of water in the 64 parishes of Louisiana is critical for water-supply management. In cooperation with the Louisiana Department of Transportation and Development, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf (LMG) Water Science Center has been collecting, compiling, and publishing water-withdrawal and water-use information on a 5-year basis since 1960. That data are available to the public on a web interface at https://la.water.usgs.gov/WaterUse/default.asp and can be queried at the state or parish level by source type (groundwater or surface water) and/or water use category (public supply, industry, power generation, rural domestic, livestock, rice irrigation, general irrigation, and aquaculture) for years 1960-2014. Additionally, data for years 2012-2014 are available at the parish level by aquifer or basin. However, data in the report and on the web page are not presented by parish, water-use category, and source simultaneously. This data release contains water withdrawn in 2014 and 2015 tabulated by parish, water-use category, source type, and designated source name. The 2014 data are tabulated by aquifer for groundwater sources and major water body for surface-water sources. The 2015 source data are tabulated by major aquifer for groundwater sources and by major surface-water basin (as defined in the 5-year water use compilations reports published by the USGS LMG Water Science Center) for surface-water sources. The estimated groundwater withdrawals in 2014 in Louisiana were 1,870 million gallons per day (MGD) and surface water was 7,430 MGD, totaling to approximately 9,300 MGD. In 2015, it was estimated that a total of 8,720 MGD were withdrawn in Louisiana, of which 1,750 originated from groundwater resources and 6,970 MGD from surface-water resources.
DOI: 10.25494/p6r886
title: SCR_Aerial_SantaCruzIslandNorthEast_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Scorpion SMR.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6mk69
title: SCR_Aerial_SantaCruzIslandSouth_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Gull Island SMR.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6gs30
title: SCR_Aerial_SantaRosaIslandNorth_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Carrington Point SMR, and Skunk Point SMR.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6c31d
title: SCR_Aerial_SantaRosaIslandSouth_1999_2012_KelpPersistence

description: These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files.This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the South Point SMR and Skunk Point SMR.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset.The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.6084/m9.figshare.19601761
title: KEGG_build_2022-04-14

description: An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-kofams --kegg-archive KEGG_build_2022-04-14_666feeac5de2.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).<br> <br> Contains MODULES.db version 4.<br> Hash value of the database is 666feeac5de2
DOI: 10.6084/m9.figshare.19601761.v2
title: KEGG_build_2022-04-14

description: An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-kofams --kegg-archive KEGG_build_2022-04-14_666feeac5de2.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).<br> <br> Contains MODULES.db version 4.<br> Hash value of the database is 666feeac5de2
DOI: 10.6084/m9.figshare.19601761.v1
title: KEGG_build_2022-04-14

description: An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-kofams --kegg-archive KEGG_build_2022-04-14_666feeac5de2.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).<br> <br> Contains MODULES.db version 4.<br> Hash value of the database is 666feeac5de2
DOI: 10.5281/zenodo.6320812
title: Macromolecule distributions input file for the OCEANFILMS parameterization

description: This dataset provides the inputs required for the OCEANFILMS parameterization of sea spray organic matter emissions, as it has been implemented in the Energy Exascale Earth System Model version 1 (E3SMv1; Burrows et al., 2014; 2022). The file was generated as described in Burrows et al. (2014). Briefly, we used the Parallel Ocean Program (POP; Maltrud et al., 1998) to simulate the general circulation and its biogeochemical elemental cycling (BEC) routines (Moore et al., 2004) to simulate marine biogeochemistry. Both are components of the Community Earth System Model (CESM; http://www2.cesm.ucar.edu, Hurrell et al., 2013). Calculations were performed using the CESM 1.0 beta release 11. The macromolecular distributions contained in these files were calculated based on various fields from these CESM simulations. 1. <strong>Lipids</strong> were calculated on the basis of the POP-simulated phytoplankton and zooplankton concentrations (Burrows et al., 2014; Eq. 11). 2. <strong>Polysaccharides</strong> were assumed to have a concentration identical to POP-simulated semilabile dissolved organic carbon (SDOC; Burrows et al., 2014; Eq. 12). 3. <strong>Proteins</strong> were assumed to have a concentration equal to one-third of POP-simulated SDOC (Burrows et al., 2014; Eq. 13). 4. A <strong>processed</strong> DOC group was estimated as a residual term from these surface pools (Burrows et al., 2014; Eq. 14, and surrounding text). This field has negligible impacts on the results of the OCEANFILMS parameterization, but has been retained here for clarity. 5. A <strong>humic</strong> compound group was estimated by assuming a fixed concentration of humic substances below the mixed layer, and estimating the effects of mixing this humic matter into the ocean mixed layer (Burrows et al., 2014; Eq. 17). As with the processed DOC group, this field's impact on the resulting predictions of the OCEANFILMS parameterization is negligible, but it has been retained here for clarity. All fields have the units µM C. The dataset is also available form the E3SM inputdata repository (last access 17 March 2022): https://web.lcrc.anl.gov/public/e3sm/inputdata/atm/cam/chem/trop_mam/marine_BGC/monthly_macromolecules_0.1deg_bilinear_latlon_year01_merge_date.nc