cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.52d75f
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.63449 -18.33858,42.93119 -18.33858,42.93119 -7.02487,14.63449 -7.02487,14.63449 -18.33858))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhynchosia insignis (O.Hoffm.) R.E.Fr."
 ]
}

 The dataset includes 56 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045372-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tujq5p
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is TWN.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies kawakamii (Hayata) T.Itô"
 ]
}

 The dataset includes 174 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083123-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7sssa
title: Occurrence Download

description: A dataset containing 3266 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is South Africa",
 "Country is Morocco",
 "Country is Burkina Faso",
 "Country is Benin",
 "Country is Gambia",
 "Country is Ghana",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Mali",
 "Country is Liberia",
 "Country is Mauritania",
 "Country is Niger",
 "Country is Nigeria",
 "Country is Senegal",
 "Country is Sierra Leone",
 "Country is Togo",
 "Country is Saint Helena, Ascension and Tristan da Cunha",
 "Country is Namibia",
 "Country is Western Sahara",
 "Country is Côte d’Ivoire",
 "Country is Cameroon",
 "Country is Equatorial Guinea",
 "Country is Gabon",
 "Country is Congo, Democratic Republic of the",
 "Country is Angola"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Scleractinia"
 ]
}

 The dataset includes 3266 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071052-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm4mf3
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scilla ×allenii (G.Nicholson) Speta)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 120 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055369-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aapc2a
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydoras ambiacus Cope, 1872"
 ]
}

 The dataset includes 75 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045375-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqr96j
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia willardiana Rose"
 ]
}

 The dataset includes 247 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115614-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aq9zqb
title: Occurrence Download

description: A dataset containing 17085 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis familiaris Linnaeus, 1758"
 ]
}

 The dataset includes 17085 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114106-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6znud
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Harpia harpyja (Linnaeus, 1758)"
 ]
}

 The dataset includes 272 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045376-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dpent
title: Occurrence Download

description: A dataset containing 13788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Ophiuroidea"
 ]
}

 The dataset includes 13788 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151237-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsbhvk
title: Occurrence Download

description: A dataset containing 85255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "Year 1970-2022"
 ]
}

 The dataset includes 85255 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114115-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sv63ot
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-97.3388671875 49.00328590757272, -96.591796875 43.542178125474635, -91.1865234375 43.542178125474635, -92.8125 44.989667597908664, -92.373046875 46.6434030363689, -90.703125 47.362641903843915, -90 47.362641903843915, -89.6484375 48.04283466990359, -94.658203125 48.83001252809799, -95.0537109375 49.34803082983079, -95.4052734375 49.00328590757272, -97.3388671875 49.00328590757272))",
 "HasCoordinate is true",
 "TaxonKey is Artemisia L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009199-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.taamvy
title: Occurrence Download

description: A dataset containing 663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "StateProvince is Kansas",
 "TaxonKey is Synaptomys cooperi Baird, 1857"
 ]
}

 The dataset includes 663 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081823-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tflcxi
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthophyllum microcephalum Boiss."
 ]
}

 The dataset includes 139 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016833-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p669cy
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglaeactis pamela (d'Orbigny, 1838)"
 ]
}

 The dataset includes 247 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009199-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znfuut
title: Occurrence Download

description: A dataset containing 78787 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Larix decidua Mill."
 ]
}

 The dataset includes 78787 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001875-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ws9dn4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiloglanis pretoriae Van Der Horst, 1931",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024712-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15607806
title: Characteristics of the Integration Sites and Module Structures of the Tn916 and Its Family
DOI: 10.5281/zenodo.15607807
title: Characteristics of the Integration Sites and Module Structures of the Tn916 and Its Family
DOI: 10.5281/zenodo.10890767
title: Exploring deep learning models for 4D-STEM-DPC data processing

description: This repository contains scanning transmission electron microscopy data and processing files used in the journal publication "Exploring deep learning models for 4D-STEM-DPC data processing". DOI: 10.1016/j.ultramic.2024.114058

Prerequisites

The scripts presented below require certain open-source Python packages to run. Library versions used to run the scripts are:



hyperspy 1.7.1

pyxem 0.14.2

fpd 0.2.5

pytorch 1.12.1 (cudatoolkit 11.6.0)

jupyterlab 4.0.7


Data files

Three zipped folders are included. Two of them contain the training- and inference data for the neural networks, aptly named training_data.zip and inference_data.zip. PyTorch state dictionaries for trained models are included in the models.zip folder.

Processing scripts

All scripts are included in an IPython notebook format (.ipynb extension). The notebooks Segmentation.ipynb and Regression.ipynb contain the code for training and inference of the segmentation and regression models, respectively. The Training_data_creation.ipynb notebook contains the code to preprocess the training data for both neural network models. The Standard_algorithms.ipynb notebook has the code for doing center of mass and edge filtering/disc detection algorithms for STEM-DPC processing.
DOI: 10.5281/zenodo.10890768
title: Exploring deep learning models for 4D-STEM-DPC data processing

description: Prerequisites

The scripts presented below require certain open-source Python packages to run. Library versions used to run the scripts are:



hyperspy 1.7.1

pyxem 0.14.2

fpd 0.2.5

pytorch 1.12.1 (cudatoolkit 11.6.0)

jupyterlab 4.0.7


Data files

Three zipped folders are included. Two of them contain the training- and inference data for the neural networks, aptly named training_data.zip and inference_data.zip. PyTorch state dictionaries for trained models are included in the models.zip folder.

Processing scripts

All scripts are included in an IPython notebook format (.ipynb extension). The notebooks Segmentation.ipynb and Regression.ipynb contain the code for training and inference of the segmentation and regression models, respectively. The Training_data_creation.ipynb notebook contains the code to preprocess the training data for both neural network models. The Standard_algorithms.ipynb notebook has the code for doing center of mass and edge filtering/disc detection algorithms for STEM-DPC processing.
DOI: 10.5281/zenodo.13692761
title: Exploring deep learning models for 4D-STEM-DPC data processing

description: This repository contains scanning transmission electron microscopy data and processing files used in the journal publication "Exploring deep learning models for 4D-STEM-DPC data processing". DOI: 10.1016/j.ultramic.2024.114058

Prerequisites

The scripts presented below require certain open-source Python packages to run. Library versions used to run the scripts are:



hyperspy 1.7.1

pyxem 0.14.2

fpd 0.2.5

pytorch 1.12.1 (cudatoolkit 11.6.0)

jupyterlab 4.0.7


Data files

Three zipped folders are included. Two of them contain the training- and inference data for the neural networks, aptly named training_data.zip and inference_data.zip. PyTorch state dictionaries for trained models are included in the models.zip folder.

Processing scripts

All scripts are included in an IPython notebook format (.ipynb extension). The notebooks Segmentation.ipynb and Regression.ipynb contain the code for training and inference of the segmentation and regression models, respectively. The Training_data_creation.ipynb notebook contains the code to preprocess the training data for both neural network models. The Standard_algorithms.ipynb notebook has the code for doing center of mass and edge filtering/disc detection algorithms for STEM-DPC processing.
DOI: 10.5281/zenodo.13885771
title: Preprocessed Wind and Solar Potential

description: All NetCDF files we create have the following global attributes:

ds.attrs[‘SOURCE’] = [the name of the program (.R or .py or .ipynb file) you used to create the file]

ds.attrs[‘AUTHOR’] = [the person who created the file]

ds.attrs[‘DESCRIPTION’] = [a short description of the file]

Filenames follow the following format: 

[variable name]_[frequency]_[model name]_[experiment name]_[ensemble number]_[timeframe]_[optional descriptive suffix].nc

 

Variables:

wpp: wind power potential

spp: solar power potential
DOI: 10.5281/zenodo.13885772
title: Preprocessed Wind and Solar Potential

description: All NetCDF files we create have the following global attributes:

ds.attrs[‘SOURCE’] = [the name of the program (.R or .py or .ipynb file) you used to create the file]

ds.attrs[‘AUTHOR’] = [the person who created the file]

ds.attrs[‘DESCRIPTION’] = [a short description of the file]

Filenames follow the following format: 

[variable name]_[frequency]_[model name]_[experiment name]_[ensemble number]_[timeframe]_[optional descriptive suffix].nc

 

Variables:

wpp: wind power potential

spp: solar power potential
DOI: 10.5281/zenodo.13885783
title: Preprocessed Wind and Solar Potential

description: All NetCDF files we create have the following global attributes:

ds.attrs[‘SOURCE’] = [the name of the program (.R or .py or .ipynb file) you used to create the file]

ds.attrs[‘AUTHOR’] = [the person who created the file]

ds.attrs[‘DESCRIPTION’] = [a short description of the file]

Filenames follow the following format: 

[variable name]_[frequency]_[model name]_[experiment name]_[ensemble number]_[timeframe]_[optional descriptive suffix].nc

 

Variables:

wpp: wind power potential

spp: solar power potential
DOI: 10.5281/zenodo.13899401
title: Preprocessed Wind and Solar Potential

description: All NetCDF files we create have the following global attributes:

ds.attrs[‘SOURCE’] = [the name of the program (.R or .py or .ipynb file) you used to create the file]

ds.attrs[‘AUTHOR’] = [the person who created the file]

ds.attrs[‘DESCRIPTION’] = [a short description of the file]

Filenames follow the following format: 

[variable name]_[frequency]_[model name]_[experiment name]_[ensemble number]_[timeframe]_[optional descriptive suffix].nc

 

Variables:

wpp: wind power potential

spp: solar power potential
DOI: 10.15468/dl.a8zv3n
title: Occurrence Download

description: A dataset containing 5299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Panthea furcilla Packard, 1864"
 ]
}

 The dataset includes 5299 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000377-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2ycmw
title: Occurrence Download

description: A dataset containing 50139 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NEFSC Right Whale Aerial Survey"
 ]
}

 The dataset includes 50139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000376-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13892149
title: Collaboration in IT Teams in Post-Pandemic Hybrid Work Prevalence- A MLR Approach

description: Research selection process control dataset for paper Collaboration in IT Teams in Post-Pandemic Hybrid Work Prevalence - A Multivocal Literature Review
DOI: 10.5281/zenodo.13899447
title: Data repository for Uniaxial compression of 3D printed samples with voids: laboratory measurements compared with Effective Medium Theory
DOI: 10.15468/dl.8t2qu8
title: Occurrence Download

description: A dataset containing 1135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Inocutis dryophila (Berk.) Fiasson & Niemelä"
 ]
}

 The dataset includes 1135 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000378-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjnrkv
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian Museum of Nature Herbarium",
 "RecordedBy is one of (Boffa, Ernie, Sidgewick, Gully, Joe, Gully, Joe ; Oldenburg, Margaret E., Harrington, Corporal Mike)"
 ]
}

 The dataset includes 88 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000381-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtqjwu
title: Occurrence Download

description: A dataset containing 2146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Panthea virginarius Grote, 1880"
 ]
}

 The dataset includes 2146 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000383-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7sgz6
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Inocutis jamaicensis (Murrill) A.M.Gottlieb, J.E.Wright & Moncalvo"
 ]
}

 The dataset includes 39 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000384-241007104925546/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.22241077.v2
title: Screening for primary aldosteronism on and off interfering medications Appendix

description: <strong>Screening for primary aldosteronism on and off interfering medications</strong>
<strong>Appendix </strong>
DOI: 10.15468/dl.3vwueq
title: Occurrence Download

description: A dataset containing 77052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Bombus lapidarius (Linnaeus, 1758)"
 ]
}

 The dataset includes 77052 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000382-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.1rzuy3
title: Draft version September 24, 2024 Typeset using LATEX twocolumn style in AASTeX631 JWST imaging of edge-on protoplanetary disks III. Drastic morphological transformation across the mid-infrared in Oph163131

description: We present JWST broadband images of the highly inclined protoplanetary disk SSTc2d J163131.2-242627 (Oph163131) from 2.0 - 21 um. The images show a remarkable evolution in disk structure with wavelength, quite different from previous JWST observations of other edge-on disks. At 2.0 and 4.4 um, Oph163131 shows two scattering surfaces separated by a dark lane, typical of highly inclined disks. Starting at 7.7 um however, 1) the two linear nebulosities flanking the dark lane disappear; 2) the brighter nebula tracing the disk upper surface transitions into a compact central source distinctly larger than the JWST PSF and whose intrinsic size increases with wavelength; and 3) patches of extended emission appear at low latitudes, and at surprisingly large radii nearly twice that of the scattered light seen with $HST$ and NIRCam, and of the gas. We interpret the compact central source as thermal emission from the star and the inner disk that is not seen directly, but which instead is able to progressively propagate to greater distances at longer wavelengths. The lack of sharp-edged structures in the extended patchy emission argues against the presence of shocks and suggests photoexcitation or stochastic heating of material smoothly flowing away from the star along the disk surface. Finally, the dark lane thickness decreases significantly between 0.6 um and 4.4 um which indicates that the surface layers of Oph163131 lack grains larger than 1 um.