cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.eobf4m
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreaster occidentalis Verrill, 1867"
 ]
}

 The dataset includes 68 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011018-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p98nq7
title: Occurrence Download

description: A dataset containing 1917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Leccinum vulpinum Watling"
 ]
}

 The dataset includes 1917 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110718-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djaujf
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Cotylolabium lutzii (Pabst) Garay"
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011325-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzx69u
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anticharis kaokoensis B.Nord."
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008461-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkrnrq
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphrasia frigida Pugsley",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 531 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020653-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zks5h3
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Eutetras pringlei Greenm."
 ]
}

 The dataset includes 94 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002410-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dche1q
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Collection de C.C.H. Jongkind aux Monts Nimba"
 ]
}

 The dataset includes 425 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012417-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4g95f5
title: Occurrence Download

description: A dataset containing 2763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Hungary",
 "Month is September",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2763 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010150-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11387212
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.6qww26
title: Occurrence Download

description: A dataset containing 262664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dilleniales"
 ]
}

 The dataset includes 262664 records from 842 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010637-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytwf8r
title: Occurrence Download

description: A dataset containing 541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amborellales"
 ]
}

 The dataset includes 541 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010646-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10374275
title: Full-coverage near surface CO2 over the global continent from 2015 to 2021 generated by Deep Forest

description: These are full-coverage near surface CO2 distribution maps over the global continent from 2015 to 2021. We fused  CO2 in situ measurements with multiple variables including OCO-2 XCO2 retrieval and auxiliary data such as meteorological factors, vegetation parameters, and human activities by MA-DF-LGB (Mix Attention-Deep Forest-LightGBM) to generate the dataset.
DOI: 10.5281/zenodo.10374276
title: Global CO2 concentration distribution map generated by the gcForest model

description: This is a global CO2 concentration distribution map. We fused the OCO-2 level 3 retrievals and GAW in-situ measurements by gcForest model to generate the dataset. Related paper is being submitted to relevant journals.
DOI: 10.5281/zenodo.10827165
title: Full-coverage near surface CO2 over the global continent from 2015 to 2021 generated by Deep Forest

description: These are full-coverage near surface CO2 distribution maps over the global continent from 2015 to 2021. We fused  CO2 in situ measurements with multiple variables including OCO-2 XCO2 retrieval and auxiliary data such as meteorological factors, vegetation parameters, and human activities by DF to generate the dataset.
DOI: 10.5281/zenodo.14257433
title: Full-coverage near surface CO2 over the global continent from 2015 to 2021 generated by Deep Forest

description: These are full-coverage near surface CO2 distribution maps over the global continent from 2015 to 2021. We fused  CO2 in situ measurements with multiple variables including OCO-2 XCO2 retrieval and auxiliary data such as meteorological factors, vegetation parameters, and human activities by MA-DF-LGB (Mix Attention-Deep Forest-LightGBM) to generate the dataset.
DOI: 10.5281/zenodo.14257291
title: Trj tests
DOI: 10.5281/zenodo.14257290
title: Trj tests
DOI: 10.5281/zenodo.14257438
title: Trj tests
DOI: 10.15468/dl.6rynj6
title: Occurrence Download

description: A dataset containing 19493 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bruniales"
 ]
}

 The dataset includes 19493 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010647-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10652348
title: Quantifying the erasure of earthquake surface ruptures from desert landscapes: Implications for seismic hazard assessment

description: Original Landscapes

DEMs of ~120x140m landscapes clipped from:

R1-10 = 2019 M7.1 Ridgecrest earthquake, 2019 lidar (Hudnut et al., 2020), and 

E1-10 = 2010 M7.2 El Mayor-Cucapah earthquake, 2010 lidar (OpenTopography, 2010).

Example: "E5.asc"

 

Degraded Landscapes

Linearly diffused using Landlab (Hobley et al., 2017; Barnhart et al., 2020) at timesteps (100, 1000, 5000, 10000 yr) using a k of 1 m^2/kyr.

Example: "e5_1000_001_eroded.asc"

 

Mapped Faults Shapefiles - E1_10_shps & R1_10_shps

Faults mapped on each degraded landscape using a systematic mapping process (Scott et al., 2023; Adam, 2023)

 

Ridgecrest DEM - rc_7_1_0424_utm.tif

0.014 m/pix DEM of a portion of the 2019 M7.1 Ridgecrest earthquake rupture, from 6 April 2024. Created from Structure from Motion using drone images. 

 

References

Adam, R. (2023). Evaluation of remote mapping of active fault traces. Arizona State University.

Barnhart, K.R., Hutton, E.W.H., Tucker, G.E., Gasparini, NM., Istanbulluoglu, E., Hobley, D.E.J., Lyons, N.J., Mouchene, M., Nudurupati, S.S., Adams, J.M., Bandarogoda, C., 2020, Short communication: Landlab v2.0: A software package for Earth surface dynamics: Earth Surface Dynamics Discussions, doi: 10.5194/esurf-2020-12.

Hobley, D.E.J., Adams, J.M., Nudurupati, S.S., Hutton, E.W.H. Gasparini, N.M., Istanbulluoglu, E., and Tucker, G.E., 2017, Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics: Earth Surface Dynamics, v. 5, n. 1, p. 21-46, doi: 10.5194/esurf-5-21-2017.

Hudnut, K.W., B. Brooks, K. Scharer, J.L. Hernandez, T.E. Dawson, M.E. Oskin, R. Arrowsmith, C.A. Goulet, K. Blake, M.L. Boggs, S. Bork, C.L. Glennie, J.C. Fernandez-Diaz, A. Singhania, D. Hauser, S. Sorhus (2020). 2019 Ridgecrest, CA Post-Earthquake Lidar Collection. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9W0942Z.. Accessed: 2024-11-25  

Opentopography; El Mayor-Cucapah Earthquake (4 April 2010) Rupture LiDAR Scan. Distributed by OpenTopography. https://doi.org/10.5069/G9TD9V7D . Accessed: 2024-11-25

Scott, C., Adam, R., Arrowsmith, R., Madugo, C., Powell, J., Ford, J., Gray, B., Koehler, R., Thompson, S., Sarmiento, A., Dawson, T., Kottke, A., Young, E., Williams, A., Kozaci, O., Oskin, M., Burgette, R., Streig, A., Seitz, G., … Ingersoll, S. (2023). Evaluating how well active fault mapping predicts earthquake surface-rupture locations. Geosphere. https://doi.org/10.1130/GES02611.1
DOI: 10.15468/dl.22nph8
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Silene frivaldszkyana Hampe, Silene frivaldskyana Hampe)"
 ]
}

 The dataset includes 158 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010648-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfwt9b
title: Occurrence Download

description: A dataset containing 1032 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Parthenocissus tricuspidata (Siebold & Zucc.) Planch."
 ]
}

 The dataset includes 1032 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010649-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypnnj5
title: Occurrence Download

description: A dataset containing 2475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Silene diversifolia subsp. bergiana (Lindm.) L.Medina, Silene rubella L.)"
 ]
}

 The dataset includes 2475 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010652-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3es5f
title: Occurrence Download

description: A dataset containing 74602 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canellales"
 ]
}

 The dataset includes 74602 records from 552 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010650-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1058993.10fu
title: SH1058993.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1058998.10fu
title: SH1058998.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1058999.10fu
title: SH1058999.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1059000.10fu
title: SH1059000.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1059003.10fu
title: SH1059003.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1059005.10fu
title: SH1059005.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1059007.10fu
title: SH1059007.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1059008.10fu
title: SH1059008.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1059010.10fu
title: SH1059010.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1059011.10fu
title: SH1059011.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.