cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29437256.v2
title: MOD_SISM_RER - A new 3D seismotectonic model of the Northern Apennines Pedeapenninic margin for Seismic Hazard Assessment

description: The 3D seismotectonic model of a sector of the Northern Appenines chain, created using the 3D modeling software Leapfrog Works, reconstructs the 8 primary chronostratigraphic units from the surface down to ∼20 km, integrating geological, geophysical, and seismological datasets, including geological cross-sections and seismic lines calibrated with stratigraphic boreholes data. The geometries of 54 active faults have been reconstructed, including 12 seismogenic faults that can be used for seismic hazard calculations. In summary, this work presents a 3D seismotectonic database that can be utilized for both practical and educational, as well as scientific, purposes.The .zip file contains 8 folders and a 'Read Me' file that explains the contents of each:1) The "Boreholes" folder contains two .csv files: collar and LA Geology, which indicate the geographic coordinates and the stratigraphy within the wells, respectively.2) The "Geological_cross_sections" folder contains all the images of the cross-sections used to create the model, as well as a shapefile of their traces in plan view.3) The "Seismic_lines" folder contains images of the seismic lines and the corresponding shapefile of their traces.5) The "Seismicity" folder contains .shp and .csv files of earthquakes up to December 2023, along with focal mechanism data used to identify seismogenic faults.6) The "Stress_field" folder provides information on the stress field measured at specific locations within the model area.7) The "Attribute_tables" folder contains the completed Excel files provided to ISPRA to link the attributes of faults, horizons, and volumes to the 3D surfaces.8) The "3D_objects" folder contains four .ts files containing all the 3D shapes created. These files are the same hosted in the ISPRA geoviewer. .TS files are compatible with main 3D modelling softwares and libraries.Input data coordinate reference system: (EPSG 32632-WGS84 UTM zone 32N)<br>File .ts coordinate system: (EPSG 6708 - RDN2008 zone 33N)License: "CC-BY-4.0"
DOI: 10.15468/dl.7e3zzs
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081061-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9zy4u
title: Occurrence Download

description: A dataset containing 4088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4088 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081062-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6zqcy
title: Occurrence Download

description: A dataset containing 987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-70.06313 40.26198,-47.90252 40.26198,-47.90252 57.72744,-70.06313 57.72744,-70.06313 40.26198))",
 "HasCoordinate is true",
 "TaxonKey is Ctenophora"
 ]
}

 The dataset includes 987 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097065-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9tuf4
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081063-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kct5vz
title: Occurrence Download

description: A dataset containing 12415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophoceros semifasciatus (Hartlaub, 1855)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 12415 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081064-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.469rb8
title: Occurrence Download

description: A dataset containing 1204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clematis lasiandra Maxim."
 ]
}

 The dataset includes 1204 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081065-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15775042
title: Subclonal immune evasion in non-small lung cancer

description: Datasets and associated code accompanying manuscript "Subclonal immune evasion in non-small cell lung cancer". 

This dataset is available through Zenodo for academic non-commercial use only. If you are a commercial entity wishing to access the dataset please email ctc.tracerx@ucl.ac.uk and include in the subject heading ‘Zenodo Data Access Request – [Subclonal immune evasion in non-small cell lung cancer].
DOI: 10.21227/cat4-0e25
title: "CheXpert"

description: "CheXpert is a large public dataset for chest radiograph interpretation, consisting of 224,316 chest radiographs of 65,240 patients."
DOI: 10.15468/dl.aawfkn
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081072-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29433719
title: Divergent hepatic and adipose tissue effects of Kupffer cell depletion in a rat model of metabolic-associated steatohepatitis.

description: Uncropped and unedited photos corresponding to histology, immunofluorescence and western blot published
DOI: 10.6084/m9.figshare.29433719.v1
title: Divergent hepatic and adipose tissue effects of Kupffer cell depletion in a rat model of metabolic-associated steatohepatitis.

description: Uncropped and unedited photos corresponding to histology, immunofluorescence and western blot published
DOI: 10.15468/dl.wxqae6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081073-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtnuzf
title: Occurrence Download

description: A dataset containing 1449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophotibis cristata (Boddaert, 1783)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1449 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081075-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycnagn
title: Occurrence Download

description: A dataset containing 1264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea trifida L.f."
 ]
}

 The dataset includes 1264 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081068-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7679314
title: Avalanches catalogue associated to the s1222a Marsquake

description: This is the catalogue of dust avalanches mapped around the s1222a marsquake.


This dataset is associated to the paper : Discussion on seismically triggered avalanches on Mars after the s1222a Marsquake.


which is under review for Geophysical Research Letters.


Usage of these data requires to cite this paper.


The repository contains the avalanche catalogue and the avalanches that have been detected on the post-marskquake images. Both data base are delivered into a pickle file. In addition, the repository contains a Jupyter notebook that read the pickle files and the full resolution of the oblique view of the mapping generated with the Generic Mapping Tools (GMT) available from https://www.generic-mapping-tools.org.
DOI: 10.5281/zenodo.7679315
title: Avalanches catalogue associated to the s1222a Marsquake

description: This is the catalogue of dust avalanches mapped around the s1222a marsquake.


This dataset is associated to the paper : Discussion on seismically triggered avalanches on Mars after the s1222a Marsquake.


which is under review for Geophysical Research Letters.


Usage of these data requires to cite this paper.


The repository contains the avalanche catalogue and the avalanches that have been detected on the post-marskquake images. Both data base are delivered into a pickle file. In addition, the repository contains a Jupyter notebook that read the pickle files and the full resolution of the oblique view of the mapping generated with the Generic Mapping Tools (GMT) available from https://www.generic-mapping-tools.org.
DOI: 10.15468/dl.58gm5r
title: Occurrence Download

description: A dataset listing the 1077 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-53.70225 -31.78817,-52.92433 -31.78817,-52.92433 -31.34735,-53.70225 -31.34735,-53.70225 -31.78817))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1077 records were derived from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081044-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15774794
title: Geomorphometric analysis in the Jagnięcy Potok valley in Izera Mountains, Poland

description: Supplement 1: Radiocarbon ages from the Izera Mountains

Supplement 2: Macro-remain analyses from sections JP1 and JP2

Supplement 3: Pollen diagrams from the Izera Mountains
DOI: 10.5281/zenodo.15774795
title: Geomorphometric analysis in the Jagnięcy Potok valley in Izera Mountains, Poland

description: Supplement 1: Radiocarbon ages from the Izera Mountains

Supplement 2: Macro-remain analyses from sections JP1 and JP2

Supplement 3: Pollen diagrams from the Izera Mountains
DOI: 10.15468/dl.z9jqxf
title: Occurrence Download

description: A dataset containing 6148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophotis gindiana (Oustalet, 1881)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 6148 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081078-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbtapn
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum lucidum W.T.Aiton",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 373 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081082-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcrnpt
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum lucidum W.T.Aiton",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 151 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081081-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.60f3zjr0
title: Maison medievale de Tolède CH_DO_15
DOI: 10.15468/dl.hk3ym6
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum lucidum W.T.Aiton",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 367 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081080-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11520198
title: Subclonal immune evasion in non-small lung cancer

description: Datasets and associated code accompanying manuscript "Subclonal immune evasion in non-small cell lung cancer". 

This dataset is available through Zenodo for academic non-commercial use only. If you are a commercial entity wishing to access the dataset please email ctc.tracerx@ucl.ac.uk and include in the subject heading ‘Zenodo Data Access Request – [Subclonal immune evasion in non-small cell lung cancer].
DOI: 10.5281/zenodo.15124671
title: Subclonal immune evasion in non-small lung cancer

description: Datasets and associated code accompanying manuscript "Subclonal immune evasion in non-small cell lung cancer". 

This dataset is available through Zenodo for academic non-commercial use only. If you are a commercial entity wishing to access the dataset please email ctc.tracerx@ucl.ac.uk and include in the subject heading ‘Zenodo Data Access Request – [Subclonal immune evasion in non-small cell lung cancer].
DOI: 10.6084/m9.figshare.29437455
title: United States Veteran Perceptions of the Veterans Health Administration Spinal Cord Injuries and Disorders Annual Evaluation

description: Veterans Health Administration (VHA) offers Annual Evaluations (AEs) to Veterans with spinal cord injuries and disorders (SCI/D) for preventive services, managing common complications, psychosocial services, and addressing equipment needs. Obtain Veteran perceptions of AE services and examine their association with Veteran characteristics and receipt of AEs. Surveys were sent to <i>n</i> = 8,421 Veterans in the VHA SCI/D Registry electronically (<i>n</i> = 8,121) or through US mail (<i>n</i> = 300), with a 23.64% response rate. After excluding participants with missing data, <i>n</i> = 1,687 Veterans were included in descriptive and logistic regression analyses. Respondents were aged 60.7 years (SD=11.60) on average; most were male (91.2%), white (75.9%), and non-Hispanic (90.5%). 72.4% indicated receiving their most recent SCI/D AE about one year ago, 24.8% more than one year ago, and 3.4% had never had an AE. The most frequently reported reasons for not receiving an AE were COVID-19 related concerns (46.1%), and that AE was not offered (23.4%). Most (73.7%) indicated the AE was “Very Important” for their health and well-being. Veterans living more than 120  min from their VA had lower odds (0.51, 95% CI 0.32–0.80) of reporting recent AEs compared to Veterans who lived within 30  min. Veterans expressed high levels of satisfaction with the AE and found many aspects to be valuable. Additional strategies are needed to address travel barriers and COVID-19 related access challenges to bolster AE receipt. Future research and efforts to leverage technology for reminders may improve AE uptake.
DOI: 10.6084/m9.figshare.29437455.v1
title: United States Veteran Perceptions of the Veterans Health Administration Spinal Cord Injuries and Disorders Annual Evaluation

description: Veterans Health Administration (VHA) offers Annual Evaluations (AEs) to Veterans with spinal cord injuries and disorders (SCI/D) for preventive services, managing common complications, psychosocial services, and addressing equipment needs. Obtain Veteran perceptions of AE services and examine their association with Veteran characteristics and receipt of AEs. Surveys were sent to <i>n</i> = 8,421 Veterans in the VHA SCI/D Registry electronically (<i>n</i> = 8,121) or through US mail (<i>n</i> = 300), with a 23.64% response rate. After excluding participants with missing data, <i>n</i> = 1,687 Veterans were included in descriptive and logistic regression analyses. Respondents were aged 60.7 years (SD=11.60) on average; most were male (91.2%), white (75.9%), and non-Hispanic (90.5%). 72.4% indicated receiving their most recent SCI/D AE about one year ago, 24.8% more than one year ago, and 3.4% had never had an AE. The most frequently reported reasons for not receiving an AE were COVID-19 related concerns (46.1%), and that AE was not offered (23.4%). Most (73.7%) indicated the AE was “Very Important” for their health and well-being. Veterans living more than 120  min from their VA had lower odds (0.51, 95% CI 0.32–0.80) of reporting recent AEs compared to Veterans who lived within 30  min. Veterans expressed high levels of satisfaction with the AE and found many aspects to be valuable. Additional strategies are needed to address travel barriers and COVID-19 related access challenges to bolster AE receipt. Future research and efforts to leverage technology for reminders may improve AE uptake.
DOI: 10.6084/m9.figshare.28931076
title: Cellwise Outlier Detection in Heterogeneous Populations

description: Real-world applications may be affected by outlying values. In the model-based clustering literature, several methodologies have been proposed to detect units that deviate from the majority of the data (rowwise outliers) and trim them from the parameter estimates. However, the discarded observations can encompass valuable information in some observed features. Following the more recent cellwise contamination paradigm, we introduce a Gaussian mixture model for cellwise outlier detection. The proposal is estimated via an Expectation-Maximization (EM) algorithm with an additional step for flagging the contaminated <i>cells</i> of a data matrix and then imputing—instead of discarding—them before the parameter estimation. This procedure adheres to the spirit of the EM algorithm by treating the contaminated cells as missing values. We analyze the performance of the proposed model in comparison with other existing methodologies through a simulation study with different scenarios and illustrate its potential use for clustering, outlier detection, and imputation on three real datasets. Additional applications include socio-economic studies, environmental analysis, healthcare, and any domain where the aim is to cluster data affected by missing information and outlying values within features.
DOI: 10.6084/m9.figshare.28931076.v2
title: Cellwise Outlier Detection in Heterogeneous Populations

description: Real-world applications may be affected by outlying values. In the model-based clustering literature, several methodologies have been proposed to detect units that deviate from the majority of the data (rowwise outliers) and trim them from the parameter estimates. However, the discarded observations can encompass valuable information in some observed features. Following the more recent cellwise contamination paradigm, we introduce a Gaussian mixture model for cellwise outlier detection. The proposal is estimated via an Expectation-Maximization (EM) algorithm with an additional step for flagging the contaminated <i>cells</i> of a data matrix and then imputing—instead of discarding—them before the parameter estimation. This procedure adheres to the spirit of the EM algorithm by treating the contaminated cells as missing values. We analyze the performance of the proposed model in comparison with other existing methodologies through a simulation study with different scenarios and illustrate its potential use for clustering, outlier detection, and imputation on three real datasets. Additional applications include socio-economic studies, environmental analysis, healthcare, and any domain where the aim is to cluster data affected by missing information and outlying values within features.
DOI: 10.6084/m9.figshare.28931076.v1
title: Cellwise outlier detection in heterogeneous populations

description: Real-world applications may be affected by outlying values. In the model-based clustering literature, several methodologies have been proposed to detect units that deviate from the majority of the data (rowwise outliers) and trim them from the parameter estimates. However, the discarded observations can encompass valuable information in some observed features. Following the more recent cellwise contamination paradigm, we introduce a Gaussian mixture model for cellwise outlier detection. The proposal is estimated via an Expectation-Maximization (EM) algorithm with an additional step for flagging the contaminated <i>cells</i> of a data matrix and then imputing – instead of discarding – them before the parameter estimation. This procedure adheres to the spirit of the EM algorithm by treating the contaminated cells as missing values. We analyze the performance of the proposed model in comparison with other existing methodologies through a simulation study with different scenarios and illustrate its potential use for clustering, outlier detection, and imputation on three real data sets. Additional applications include socio-economic studies, environmental analysis, healthcare, and any domain where the aim is to cluster data affected by missing information and outlying values within features.
DOI: 10.15468/dl.7rck4m
title: Occurrence Download

description: A dataset containing 61235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Avicennia integra N.C.Duke, Avicennia officinalis L., Avicennia alba Blume, Avicennia bicolor Standl., Avicennia schaueriana Stapf & Leechm. ex Moldenke, Avicennia marina (Forssk.) Vierh., Avicennia germinans (L.) L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 61235 records from 432 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081058-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.