cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18665088
title: Data for: Martian Sand Dunes as Natural Ice Sensors: How to Identify Ice Composition from Dune-ice Morphology

description: Manuscript Abstract:

The seasonal exchange of martian volatiles between the atmosphere and surface drives the formation and modification of gullies, spiders, and other surface features on Mars. Studies of such seasonal ice-driven activity rely on correct interpretations of ice composition and coverage. However, datasets that discriminate ice composition often have coarse resolution or limited spatial coverage. In this work, we investigate whether specific dune-ice morphologies reflect different ice compositions and thus could be used to interpret the meter-scale ice environment over the dunes. Using HiRISE images collected over sand dunes in the northern mid-latitudes (30-65° N), we grouped observations by patterns in dune-ice morphology and interpreted the ice composition of each group. Interpretations of ice composition were then compared to the ice compositions derived from coincident thermal and spectral observations. We found that dunes with both a high surface brightness and sublimation spots or cracks corresponded to CO2 ice whereas dunes that exhibit increased surface brightness without sublimation spots or cracks corresponded to H2O ice. These interpretations are corroborated by prior seasonal ice cap mapping results, surface temperature observations, and by the position of spectrally derived seasonal ice cap edges, despite orders-of-magnitude differences in dataset resolution. This work provides a new opportunity to probe the martian seasonal H2O cycle while also improving landform-scale ice composition interpretations for studies of surface features thought to form from ice-regolith interactions.   

 

Dataset:

This dataset provides a record of the HiRISE images used to identify dune-ice morphology and additional information on the expected ice composition obtained from analysis. A README file is provided to explain the contents of the dataset. For any additional information on our methods and results, please see the published manuscript.
DOI: 10.5281/zenodo.18665087
title: Data for: Martian Sand Dunes as Natural Ice Sensors: How to Identify Ice Composition from Dune-ice Morphology

description: Manuscript Abstract:

The seasonal exchange of martian volatiles between the atmosphere and surface drives the formation and modification of gullies, spiders, and other surface features on Mars. Studies of such seasonal ice-driven activity rely on correct interpretations of ice composition and coverage. However, datasets that discriminate ice composition often have coarse resolution or limited spatial coverage. In this work, we investigate whether specific dune-ice morphologies reflect different ice compositions and thus could be used to interpret the meter-scale ice environment over the dunes. Using HiRISE images collected over sand dunes in the northern mid-latitudes (30-65° N), we grouped observations by patterns in dune-ice morphology and interpreted the ice composition of each group. Interpretations of ice composition were then compared to the ice compositions derived from coincident thermal and spectral observations. We found that dunes with both a high surface brightness and sublimation spots or cracks corresponded to CO2 ice whereas dunes that exhibit increased surface brightness without sublimation spots or cracks corresponded to H2O ice. These interpretations are corroborated by prior seasonal ice cap mapping results, surface temperature observations, and by the position of spectrally derived seasonal ice cap edges, despite orders-of-magnitude differences in dataset resolution. This work provides a new opportunity to probe the martian seasonal H2O cycle while also improving landform-scale ice composition interpretations for studies of surface features thought to form from ice-regolith interactions.   

 

Dataset:

This dataset provides a record of the HiRISE images used to identify dune-ice morphology and additional information on the expected ice composition obtained from analysis. A README file is provided to explain the contents of the dataset. For any additional information on our methods and results, please see the published manuscript.
DOI: 10.5281/zenodo.15399017
title: Data and Analysis for Bragg, Cox-Ammann, Fletcher, and Raimondi 2025, "Buried Alive - Quantified Impacts of Post-fire Debris Flows on the Habitat, Population, and Recovery of the Endangered Black Abalone"

description: This repository contains all the data, analysis, and figures for Bragg, Cox-Ammann, Fletcher, and Raimondi 2025, "Buried Alive - Quantified Impacts of Post-fire Debris Flows on the Habitat, Population, and Recovery of the Endangered Black Abalone". To access this content, download and unzip the Bragg_2025 folder.  All pertinent information about the contents of this repository is contained within the README file, but a brief desciption is below.

Directory Architecture:

Data:Contains all data used for analyses. Within this folder are three subdirectories - Orthomosaics, Shapefiles, and Abalone_Loss_Model. 

Orthomosaics contains the four othomosaics (geotiffs) of the coastline within the Area of Interest (AOI) used for analysis of coarse delineation of coastline geomorphology.

Shapefiles contains the shapefiles produced for analysis of coarse delineation of coastline geomorphology. 

Abalone_Loss_Model contains the raw data and model used for analyzing black abalone losses resulting from post-fire debris flows. There are two excel files - Raw Data and Abalone_Loss_Model.  Raw Data contains the data used in the model.  Abalone_Loss_Model contains the model used to calculate abalone losses (both numerical and percent loss) from the Raw Data. 

Figures_and_Tables:All final figures and tables are contained in the Figures_and_Tables folder. This folder contains a Supplemental folder, which contains supplemental figures and tables.
DOI: 10.5281/zenodo.15399016
title: Data and Analysis for Bragg, Cox-Ammann, Fletcher, and Raimondi 2025, "Buried Alive - Quantified Impacts of Post-fire Debris Flows on the Habitat, Population, and Recovery of the Endangered Black Abalone"

description: This repository contains all the data, analysis, and figures for Bragg, Cox-Ammann, Fletcher, and Raimondi 2025, "Buried Alive - Quantified Impacts of Post-fire Debris Flows on the Habitat, Population, and Recovery of the Endangered Black Abalone". To access this content, download and unzip the Bragg_2025 folder.  All pertinent information about the contents of this repository is contained within the README file, but a brief desciption is below.

Directory Architecture:

Data:Contains all data used for analyses. Within this folder are three subdirectories - Orthomosaics, Shapefiles, and Abalone_Loss_Model. 

Orthomosaics contains the four othomosaics (geotiffs) of the coastline within the Area of Interest (AOI) used for analysis of coarse delineation of coastline geomorphology.

Shapefiles contains the shapefiles produced for analysis of coarse delineation of coastline geomorphology. 

Abalone_Loss_Model contains the raw data and model used for analyzing black abalone losses resulting from post-fire debris flows. There are two excel files - Raw Data and Abalone_Loss_Model.  Raw Data contains the data used in the model.  Abalone_Loss_Model contains the model used to calculate abalone losses (both numerical and percent loss) from the Raw Data. 

Figures_and_Tables:All final figures and tables are contained in the Figures_and_Tables folder. This folder contains a Supplemental folder, which contains supplemental figures and tables.
DOI: 10.6084/m9.figshare.28281947
title: global_urban_scaling

description: <pre>Urban boundary data used in the article titled: "Global Consistency of Urban Scaling Evidenced by Remote Sensing"<br>https://doi.org/10.1093/pnasnexus/pgaf037<br><br>1. boundary2020_61countries.rar<br>Urban boundary vector data for 61 countries in 2020, used for urban scaling analysis of built-up areas  and nighttime lights  in the same year. The dataset includes attributes such as built-up area (UBA), total population (POP), and total nighttime light brightness (NTL) for each urban unit (boundary).<br><br>2. boundary2000_2020_26countries.rar<br>Urban boundary vector data for 26 countries spanning 2000 to 2020, used for a 20-year temporal scaling analysis of UBA and NTL. The dataset includes attributes such as built-up area (UBA), total population (POP), and total nighttime light brightness (NTL) for each urban unit (boundary).</pre><br>
DOI: 10.6084/m9.figshare.28281947.v1
title: global_urban_scaling

description: <pre>Urban boundary data used in the article titled: "Global Consistency of Urban Scaling Evidenced by Remote Sensing"<br>https://doi.org/10.1093/pnasnexus/pgaf037<br><br>1. boundary2020_61countries.rar<br>Urban boundary vector data for 61 countries in 2020, used for urban scaling analysis of built-up areas  and nighttime lights  in the same year. The dataset includes attributes such as built-up area (UBA), total population (POP), and total nighttime light brightness (NTL) for each urban unit (boundary).<br><br>2. boundary2000_2020_26countries.rar<br>Urban boundary vector data for 26 countries spanning 2000 to 2020, used for a 20-year temporal scaling analysis of UBA and NTL. The dataset includes attributes such as built-up area (UBA), total population (POP), and total nighttime light brightness (NTL) for each urban unit (boundary).</pre><br>
DOI: 10.5281/zenodo.18715987
title: Repository - Thermal and Water Evolution in Mars' Mantle: Petrological Effects on Crustal Magmas

description: The repository contains the dataset used in the manuscritp entitled "Thermal and Water Evolution in Mars’ Mantle: Petrological Effects on Crustal Magmas" by Payré and Seales. It contains the liquid and mineralogical data produced by isentropic and fractional crystallization models.
DOI: 10.5281/zenodo.18715988
title: Repository - Thermal and Water Evolution in Mars' Mantle: Petrological Effects on Crustal Magmas

description: The repository contains the dataset used in the manuscritp entitled "Thermal and Water Evolution in Mars’ Mantle: Petrological Effects on Crustal Magmas" by Payré and Seales. It contains the liquid and mineralogical data produced by isentropic and fractional crystallization models.
DOI: 10.15468/dl.p8exmf
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protoptila mara",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032724-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58153/frv59-hzf81
title: Data for Knowledge Related to Oral Health Literacy - Spanish (KROHL-S)

description: Data and documentation from a study to develop and validate the Knowledge Related to Oral Health Literacy Spanish (KROHL-S) instrument to assess oral health knowledge and other modifiable factors at the individual level among the Hispanic population as related to oral health literacy. The questionnaire consists of orally administered open-ended questions to measure knowledge that is condition specific (caries, periodontal disease, oral cancer, tooth loss, and malocclusion) and domain that is knowledge specific (identification of condition, causes, prevention, treatment, general knowledge). To validate the instrument, a cross-sectional study was conducted at NYU's College of Dentistry. A convenience sample of 175 self-identified Spanish-speaking adults completed the KROHL-S questionnaire. Participants also completed the Comprehensive Measure of Oral Health Knowledge (CMOHK) and a single-item literacy screening tool in Spanish (SILS). A research team member administered the questionnaire orally, reading each question aloud; a written copy was offered as well. All collected answers were entered in Qualtrics in real time.
DOI: 10.58153/dq7fm-54n76
title: Data for Knowledge Related to Oral Health Literacy - Spanish (KROHL-S)

description: Data and documentation from a study to develop and validate the Knowledge Related to Oral Health Literacy Spanish (KROHL-S) instrument to assess oral health knowledge and other modifiable factors at the individual level among the Hispanic population as related to oral health literacy. The questionnaire consists of orally administered open-ended questions to measure knowledge that is condition specific (caries, periodontal disease, oral cancer, tooth loss, and malocclusion) and domain that is knowledge specific (identification of condition, causes, prevention, treatment, general knowledge). To validate the instrument, a cross-sectional study was conducted at NYU's College of Dentistry. A convenience sample of 175 self-identified Spanish-speaking adults completed the KROHL-S questionnaire. Participants also completed the Comprehensive Measure of Oral Health Knowledge (CMOHK) and a single-item literacy screening tool in Spanish (SILS). A research team member administered the questionnaire orally, reading each question aloud; a written copy was offered as well. All collected answers were entered in Qualtrics in real time.
DOI: 10.6084/m9.figshare.31378765
title: DPFNet-CPCv1.0

description: <b>ATTENTION:</b> This dataset is provided for <b>ACADEMIC RESEARCH PURPOSES ONLY</b>. Commercial use is strictly prohibited without explicit written permission from the authorDPFNet-CPCv1.0Password for unzipping：iuecasxu
DOI: 10.6084/m9.figshare.31378765.v3
title: DPFNet-CPCv1.0

description: <b>ATTENTION:</b> This dataset is provided for <b>ACADEMIC RESEARCH PURPOSES ONLY</b>. Commercial use is strictly prohibited without explicit written permission from the authorDPFNet-CPCv1.0Password for unzipping：iuecasxu
DOI: 10.6084/m9.figshare.31378765.v2
title: DPFNet-CPCv1.0

description: <b>ATTENTION:</b> This dataset is provided for <b>ACADEMIC RESEARCH PURPOSES ONLY</b>. Commercial use is strictly prohibited without explicit written permission from the authorDPFNet-CPCv1.0
DOI: 10.15468/dl.rgxmk3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protoptila ternacia",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032725-260208012135463/datasets/export for details.
DOI: 10.15468/dl.tkuz9r
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conepatus humboldtii"
 ]
}

 The dataset includes 317 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032727-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmenv4
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (98e934b0-5f31-11de-b67e-b8a03c50a862, b6f05cf0-43ce-11d9-8439-b8a03c50a862)",
 "TaxonKey is Perezia lyrata"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032729-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42guud
title: Occurrence Download

description: A dataset containing 941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Geometry POLYGON((-111.84073 41.95597,-106.40884 41.95597,-106.40884 44.65122,-111.84073 44.65122,-111.84073 41.95597))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 941 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032730-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yq7m2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protoptila tetravittata",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032733-260208012135463/datasets/export for details.
DOI: 10.13140/rg.2.2.34695.46243
title: Volume of a SPHERE Via the volume of a CONE by Panagiotis Stefanides
DOI: 10.15468/dl.zmp5gp
title: Occurrence Download

description: A dataset containing 159245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columbina squammata",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 159245 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032707-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p97umu6k
title: Burn Severity Portal, a clearing house of fire severity and extent information (ver. 11.0, April 2025)

description: The various post-fire data products available on the Burn Severity Portal are produced using satellite imagery. The timing of the satellite imagery used, relative to the fire event, typically depends on the vegetation type and structure where the fire occurred. Each mapping program produces a suite of data products based on user intended user needs. You can find additional details in each of the available areas. 

First posted - September 6, 2022
Revised -  January 6, 2023 (version 2.0)
Revised -  March 31, 2023 (version 3.0)
Revised -  August 8, 2023 (version 4.0)
Revised -  October 26, 2023 (version 5.0)
Revised -  January 26, 2024 (version 6.0)
Revised -  April 29, 2024 (version 7.0)
Revised - August 22, 2024 (version 8.0)
Revised - October 29, 2024 (version 9.0)
Revised - January 31, 2025 (version 10.0)
Revised - April 22, 2025 (version 11.0)
DOI: 10.15468/dl.ce8hwv
title: Occurrence Download

description: A dataset containing 15867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helicopsyche",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 15867 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032734-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ewxvjj
title: Amphibian Specimens

description: The Herpetology collection currently contains nearly 52,000 cataloged specimens of amphibians and reptiles. A large proportion of the collection is composed of amphibians and reptiles from the United States (46 states are represented), and many of these species are from the Southern Plains and Oklahoma. Approximately 60% (~31,000 specimens) of the collection is made up of Oklahoma specimens, making it the largest repository of Oklahoma amphibians. The collection also contains specimens from a total of 50 countries, with relatively large numbers from Brazil, Mexico, Ecuador, and Egypt. An early collection of specimens is from the Galapagos Islands of Ecuador.
DOI: 10.18738/t8/blxbvh
title: DPyOM Biodegradation DataSet

description: This data set support the publication "Temperature-dependent Effects of Laboratory-heated Dissolved Organic Matter on Aquatic Microbiome Composition and Nitrogen Cycling Dynamics" by Saraf Islam Promi Nichole M Grey, Bailley Hardage and Courtney M. Gardner
DOI: 10.15468/dl.jz4ms7
title: Occurrence Download

description: A dataset containing 3749 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schistocerca piceifrons"
 ]
}

 The dataset includes 3749 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032737-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z72zvg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helicopsyche xinguensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032739-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqcd4q
title: Occurrence Download

description: A dataset listing the 173 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Geometry POLYGON((-111.84073 41.95597,-106.40884 41.95597,-106.40884 44.65122,-111.84073 44.65122,-111.84073 41.95597))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 173 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032731-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d6kdt
title: Occurrence Download

description: A dataset containing 192360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus tshawytscha",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 192360 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032706-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3hjc6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Perezia calophylla"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032740-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pa9g7
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vipera sakoi"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032741-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.