cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f17m0626
title: SCR_Aerial_SantaRosaIslandSouth_10162012_Imagery

description: This raster dataset was 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). Imagery was acquired on October 16, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 1 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's intertidal region and kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster image dataset represents mosaicked, multi-spectral imagery in the red, green, blue and near-infrared (RGB,NIR) spectral bands, targeting giant kelp beds and the intertidal zone along the Southern California Coast region from Point Conception, CA down to Imperial beach, CA. This raster dataset includes the South Point SMR and the Skunk Point SMR
DOI: 10.5063/f15t3hk7
title: SCR_Aerial_SantaRosaIslandSouth_10162012_KelpClass

description: These raster and vector dataset 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). Imagery was acquired on October 16, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 2 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. More information on the classes resolved and processing methods are in the Lineage section of this document. This raster dataset contains a habitat classification of either offshore 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.
DOI: 10.5063/f1222rw8
title: SCR_Aerial_SantaRosaIslandSouth_11222011_KelpClass

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). Ocean Imaging acquired this imagery on 11/22/2011 using the Digital Multispectral Camera (DMSC). Details on this system and the data processing are below in the Lineage section of this document. Details on this system and the data processing are below in the Lineage section of this document. Individual DMSC image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster dataset contains a habitat classification of either offshore 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.
DOI: 10.5063/f1xd0zsv
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.
DOI: 10.5063/f1sn073c
title: SCR_Aerial_South_La_Jolla_SMR_2002_2012_IntertidalChange

description: This raster dataset was 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). Imagery was acquired in 2002 using the OI DMSC MKII multispectral instrument and in 2012 using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. The goal of this analysis was to characterize and analyze the decadal-long change in several sub/intertidal, general substrate/vegetation classes. The classes were identified in habitat classifications created as part of 2001-2002 work completed for the San Diego Association of Governments (SANDAG), and compared to the same classes identified and mapped during 2012 as part of this project. The imagery files deliverd are in GeoTIFF format. More information on the classes resolved and processing methods are in the Lineage section of this document. This raster dataset contains a change detection analysis of the intertidal zone along the California South Coast Region (SCR) from from Dana Point, CA down to Imperial beach, CA. This specific dataset covers the South La Jolla SMR.
DOI: 10.5063/f1nv9gc3
title: SCR_Aerial_Swamis_SMCA_2002_2012_IntertidalChange

description: This raster dataset was 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). Imagery was acquired in 2002 using the OI DMSC MKII multispectral instrument and in 2012 using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. The goal of this analysis was to characterize and analyze the decadal-long change in several sub/intertidal, general substrate/vegetation classes. The classes were identified in habitat classifications created as part of 2001-2002 work completed for the San Diego Association of Governments (SANDAG), and compared to the same classes identified and mapped during 2012 as part of this project. The imagery files deliverd are in GeoTIFF format. More information on the classes resolved and processing methods are in the Lineage section of this document. This raster dataset contains a change detection analysis of the intertidal zone along the California South Coast Region (SCR) from from Dana Point, CA down to Imperial beach, CA. This specific dataset covers the Swami's SMCA.
DOI: 10.5063/f1j38qnp
title: SCR_Aerial_Tijuana_River_Mouth_SMCA_2002_2012_IntertidalChange

description: This raster dataset was 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). Imagery was acquired in 2002 using the OI DMSC MKII multispectral instrument and in 2012 using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. The goal of this analysis was to characterize and analyze the decadal-long change in several sub/intertidal, general substrate/vegetation classes. The classes were identified in habitat classifications created as part of 2001-2002 work completed for the San Diego Association of Governments (SANDAG), and compared to the same classes identified and mapped during 2012 as part of this project. The imagery files deliverd are in GeoTIFF format. More information on the classes resolved and processing methods are in the Lineage section of this document. This raster dataset contains a change detection analysis of the intertidal zone along the California South Coast Region (SCR) from from Dana Point, CA down to Imperial beach, CA. This specific dataset covers the Tijuana River Mouth SMCA.
DOI: 10.5063/f1jw8bz3
title: SCR_Aerial_AnacapaIsland_10142012_Imagery

description: This raster dataset was 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). Imagery was acquired on October 14, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 2 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster image dataset represents mosaicked, multi-spectral imagery in the red, green, blue and near-infrared (RGB,NIR) spectral bands, targeting giant kelp beds and the intertidal zone along the Southern California Coast region from Point Conception, CA down to Imperial beach, CA. This raster dataset includes the Anacapa Island SMCA and Anacapa Island SMR.
DOI: 10.5063/f1q52mrr
title: SCR_Aerial_CoalOilPoint_06082012_Imagery

description: This raster dataset was 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). Imagery was acquired on June 7, 2012 and June 8, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 1 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's intertidal region and kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster image dataset represents mosaicked, multi-spectral imagery in the red, green, blue and near-infrared (RGB,NIR) spectral bands, targeting giant kelp beds and the intertidal zone along the Southern California Coast region from Point Conception, CA down to Imperial beach, CA. This raster dataset includes the Naples SMCA and Campus Point SMCA.
DOI: 10.5063/f1rf5s5d
title: SCR_Aerial_Encinitas_LaJolla_11122012_Imagery

description: This raster dataset was 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). Imagery was acquired on November 12, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 1 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's intertidal region and kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster image dataset represents mosaicked, multi-spectral imagery in the red, green, blue and near-infrared (RGB,NIR) spectral bands, targeting giant kelp beds and the intertidal zone along the Southern California Coast region from Point Conception, CA down to Imperial beach, CA. This raster dataset includes the Swami's SMCA, San Diego-Scripps Coastal SMCA, the Matlahuayl SMR.
DOI: 10.5066/p9hrx1lr
title: USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Heat Flow Data

description: This package contains a map surface that depicts the estimated spatial variation of conductive heat flow (mW/m?) in a portion of northern Nevada, the extent of the ?Nevada Machine Learning Project? (DE-EE0008762). It was generated using well locations that had an estimated heat flow value from a measured thermal gradient and thermal conductivity, mainly using data from Southern Methodist University, with some additional USGS data. Well data are included along with and a map surface depicting estimated standard error of the heat flow interpolation.
DOI: 10.3886/e163821v1
title: Adult Drug Treatment Courts and Community-Level Drug Possession Arrests

description: This study assessed the degree to which adult drug treatment courts impact county-level drug possession arrests using a stacked event study desing. Materials included here serve as supplements to the article "Adult Drug Treatment Courts and Community-Level Drug Possession Arrests" submitted to the journal Crime & Delinquency in March of 2022.<br><br>Materials include:<br>- Stata code for data cleaning and setup, core analysis, counterfactual analysis, and robustness checks<br>- Analysis data with county FIPS codes anonymized <br>- PDF supplemental materials for the paper: additional tables and graphs, methods appendix, and data appendix<br><br>The code may be adapted for use in other contexts but identification of individual counties has been masked in the data to protect use of the treatment court data until fully released to the public.
description: This dataset is built upon the UCR Summary Reporting Arrest data concatenated by Jacob Kaplan (https://www.openicpsr.org/openicpsr/project/102180/version/V11/view). To minimize measurement error, data cleaning started with UCR reporting agencies which reported all 12 months per year for the entirety of each stack (see Methods Appendix for clarification). Agencies were collapsed to the county level, then other data were merged in.
DOI: 10.6084/m9.figshare.19294640
title: EFR_sequences_aa.fa

description: Amino acid sequences of EFR homologs
DOI: 10.6084/m9.figshare.19294637
title: EFR_cds_AlignedAsTranslatedAA.fa

description: CDS of EFR homologs aligned as translated amino acids
DOI: 10.6084/m9.figshare.16608853
title: Candiacervus rib histomorphometry data

description: Raw and averaged bone histomorphometry data collected from seven rib fragments of Candiacervus size 2.
DOI: 10.6084/m9.figshare.19294649
title: EFR_sequences_aa_muscle.fa

description: Amino acid sequences of EFR homologs aligned using MUSCLE
DOI: 10.5066/p9rm9a9b
title: USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Slip and Dilation Tendency Data

description: This package contains data in a portion of northern Nevada, the extent of the ?Nevada Machine Learning Project? (DE-EE0008762). Slip tendency (TS) and dilation tendency (TD) were calculated for the all the faults in the Nevada ML study area. TS is the ratio between the shear components of the stress tensor and the normal components of the stress tensor acting on a fault plane. TD is the ratio of all the components of the stress tensor that are normal to a fault plane. Faults with higher TD are relatively more likely to dilate and host open, conductive fractures. Faults with higher TS are relatively more likely to slip, and these fractures may be propped open and conductive. These values of TS and TD were used to update a map surface from the Nevada Geothermal Machine Learning Project (DE-FOA-0001956) that used less reliable estimates for TS and TD. The new map surface was generated using the same procedure as the old surface, just with the new TS and TD data values.
DOI: 10.17632/6gxgfgdfwc.1
title: UV-C COVID

description: SARS-CoV2 TCID50/mL after irradiation with mercury lamp (Hg) or UV-C LED on plastic; tissue, paper, cardboard or steel.
TCID50/mL =0 replaced by value of 1 for graphic representation using a log axis
DOI: 10.17632/rwgmcpcpnn.1
title: Dog's demographic information and relative telomere lenght

description: Raw data from a questionnaire about the dogs (i) Breed; (ii) origin (dog’s first owner or second owner (rehomed dogs); (iii) neutering status; (iv) health status; (v) training status; (vi) feeding regime; (vii) sleeping place; (viii) exercise routine; (ix) contact with people and animals
DOI: 10.17632/ycpkf35dzz.1
title: original data for "npFe0 derived from olivine decomposition in Chang’e-5 lunar soil: Implications for thermal effects during impacts"

description: Original TEM and EELS data used in the manuscript entitled "npFe0 derived from olivine decomposition in Chang’e-5 lunar soil: Implications for thermal effects during impacts".
DOI: 10.17632/9n7bryshg3.1
title: Regulation of GTPase function by autophosphorylation Johnson et al. 

description: See main paper for findings.
DOI: 10.6075/j02j6bqd
title: EC FAIR How-to Series: Choosing a Repository for Your Data. In EarthCube Organization Materials

description: A short reference guide to choosing a repository for submitting research data.
DOI: 10.6075/j06973f4
title: EC FAIR How-to Series: Getting a DOI for Your Data. In EarthCube Organization Materials

description: This is an easy reference guide for how to get a DOI for data.
DOI: 10.5281/zenodo.5827072
title: Global hydrogen analysis

description: Scenario data generated by AIM/Technology model for the global hydrogen analysis. Details on the dataset can be found in the following manuscript: Oshiro, K., Fujimori, S. (2022). Role of hydrogen-based energy carriers as an alternative option to reduce residual emissions associated with mid-century decarbonization goals. Applied Energy, 313, 118803. https://doi.org/10.1016/j.apenergy.2022.118803
DOI: 10.5281/zenodo.5203193
title: Global hydrogen analysis

description: Scenario data generated by AIM/Technology model for the global hydrogen analysis. Details on the dataset can be found in the following manuscript: Oshiro, K., Fujimori, S. (2022). Role of hydrogen-based energy carriers as an alternative option to reduce residual emissions associated with mid-century decarbonization goals. Applied Energy, 313, 118803. https://doi.org/10.1016/j.apenergy.2022.118803
DOI: 10.25549/pcra-c14-61034
title: Redemption tidings, vol. 41, nos. 1-52, 1 Jan. - 24 Dec. 1965

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.g8hz2h
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is Mexico",
 "Country is Guatemala",
 "Country is Belize",
 "Country is El Salvador",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Costa Rica",
 "Country is Panama"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Delonix regia (Bojer ex Hook.) Raf."
 ]
}

 The dataset includes 709 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029973-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4zu8s
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudolaelia vellozicola (Hoehne) Porto & Brade"
 ]
}

 The dataset includes 182 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096780-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.