cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.za27r4
title: Occurrence Download

description: A dataset containing 1202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agaricia humilis Verrill, 1901",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1202 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088640-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-50708
title: Ford Tudor sedan, Esther P. Chadbourn, Southern California, 1933

description: 3 photographs of a damaged Ford Tudor sedan, Southern California, 1933. "Subject: Ford Tudor Sedan, Esther P. Chadbourn, assured; Client: Pacific Indemnity, Mr. Brysor; Original Print Order: 1 ea[ch]; Size: 8x10; Finish: gl[ossy]; Job: 2-10-44; Year: 1933" -- on envelope front. "Operator's Report (Name): Joe; Original Photographs-Size: 3- 8x10; Amount: 5.00" -- on envelope back.
DOI: 10.25549/whit-c170-53971
title: Ford coupe, 3V2934, Sailor, owner, Southern California, 1932

description: 3 photographs wrecked automobile, Southern California, 1932. "Subject: Ford Coupe 3V2934, Sailor, owner; Client: Commercial Casualty Co., Lapic; Original Print Order: 2 ea[ch]; Size: 8x10; Finish: gl[ossy]; Year: 1932; Job: 11-29-149" -- on envelope front. "Operator's Report (Name): Frank; 3-- 8x10 interiors; Amount: 7.00" -- on envelope back.
DOI: 10.15468/dl.dubsrw
title: Occurrence Download

description: A dataset containing 5284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix babylonica L."
 ]
}

 The dataset includes 5284 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088643-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtbayb
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinochloa obtusiflora Stapf"
 ]
}

 The dataset includes 250 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186222-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysrffg
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Werauhia brunei (Mez & Wercklé) J.R.Grant"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-150527152214153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oszhws
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manis pentadactyla Linnaeus, 1758"
 ]
}

 The dataset includes 368 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023935-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w97mb8
title: Occurrence Download

description: A dataset containing 3836 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasypus novemcinctus Linnaeus, 1758"
 ]
}

 The dataset includes 3836 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-150805223722583/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cn9m5w
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinochloa oplismenoides (E.Fourn.) Hitchc."
 ]
}

 The dataset includes 311 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186223-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z36t42
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.14_1",
 "TaxonKey is Canidae"
 ]
}

 The dataset includes 283 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134069-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wus81w
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocus sativus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2snevt
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinocodon draco (Pamp.) D.Y.Hong"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186243-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vypfaw
title: Occurrence Download

description: A dataset containing 1368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrmecophaga tridactyla Linnaeus, 1758"
 ]
}

 The dataset includes 1368 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134071-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9bwcw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monstera cenepensis Croat"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182242-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.risdrv
title: Occurrence Download

description: A dataset containing 963 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prosthechea fragrans (Sw.) W.E.Higgins"
 ]
}

 The dataset includes 963 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqt7cq
title: Occurrence Download

description: A dataset containing 3284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinochloa oryzoides (Ard.) Fritsch"
 ]
}

 The dataset includes 3284 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186225-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39qekp
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Cantharellus friesii Quél."
 ]
}

 The dataset includes 750 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134077-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjuybt
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pabstiella curti-bradei (Pabst) Luer"
 ]
}

 The dataset includes 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182243-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnav0k
title: Occurrence Download

description: A dataset containing 49213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fallopia japonica (Houtt.) Ronse Decr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 49213 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-160525093732495/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82vb2c
title: Occurrence Download

description: A dataset containing 9780055 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 9780055 records from 4833 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186235-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6018283
title: SAR displacements of the 2022 Menyuan earthquake, China

description: The dataset includes the SAR displacement observations, three-dimensional displacements, and the strain invariants related to the 2022 Menyuan earthquake, China.
DOI: 10.5281/zenodo.6018282
title: SAR displacements of the 2022 Menyuan earthquake, China

description: The dataset includes the SAR displacement observations, three-dimensional displacements, and the strain invariants related to the 2022 Menyuan earthquake, China.
DOI: 10.5281/zenodo.5566860
title: data for: Hybrid breakdown is elevated near the historical cores of a species' range

description: Data and code for the manuscript: Accumulation of hybrid incompatibilities reflects neutral genetic structure more strongly than climatic differentiation F1 and F2 fitness data from within and between population crosses of Campanula americana are in F1_fitness.xls and F2_fitness.xls files, respectively. Data used for multiple linear regression testing the effects of neutral genetic and climatic differentiation on hybrid breakdown are in multipleReg_input.xls. Prism climatic data used to calculate Mahalonobis environmental distances are in prism_annual.xls. Code for resampling fitness data to calculate standard deviation of hybrid breakdown within hybrid crosses is provided in 'resample_fitness.R'. Code for the mutliple linear regression is provided in 'multipleReg_code.R' and code to calculate Mahalanobis D are in 'Mahalanobis_Env_D.R'.
DOI: 10.5281/zenodo.5566859
title: data for: Hybrid breakdown is elevated near the historical cores of a species' range

description: Data and code for the manuscript: Accumulation of hybrid incompatibilities reflects neutral genetic structure more strongly than climatic differentiation F1 and F2 fitness data from within and between population crosses of Campanula americana are in F1_fitness.xls and F2_fitness.xls files, respectively. Data used for multiple linear regression testing the effects of neutral genetic and climatic differentiation on hybrid breakdown are in multipleReg_input.xls. Prism climatic data used to calculate Mahalonobis environmental distances are in prism_annual.xls. Code for resampling fitness data to calculate standard deviation of hybrid breakdown within hybrid crosses is provided in 'resample_fitness.R'. Code for the mutliple linear regression is provided in 'multipleReg_code.R' and code to calculate Mahalanobis D are in 'Mahalanobis_Env_D.R'.
DOI: 10.6084/m9.figshare.18586034.v1
title: Raw data

description: Raw data<br>
DOI: 10.6084/m9.figshare.18586016.v1
title: Tables

description: tables
DOI: 10.5281/zenodo.6045702
title: Integrating REBT and ACT : An intervention study for managing academic self-handicapping behaviour among young adults

description: The data consists of pre and post interventions scores of 25 participants who were selected based on their ratings on Academic self -handicapping scale (Geetika & Gupta, 2020) . Thirteen participants were randomly assigned to the experimental group which was exposed to 8 hours of intervention that combined REBT and ACT. Twelve participants were randomly assigned to the control group and did not receive any intervention. The pre-intervention scores on Academic self -handicapping scale (Geetika & Gupta, 2020) were assessed at the beginning of the intervention and at two weeks since the beginning of the intervention. Sub scale scores on Behavioural and Claimed self -handicapping were recorded and overall score by adding the two were also obtained.
DOI: 10.5281/zenodo.6045761
title: HARMONIE-AROME 1D results for intercomparison cases

description: Please read the readme.txt file for a description of the files.
DOI: 10.5281/zenodo.6045760
title: HARMONIE-AROME 1D results for intercomparison cases

description: Please read the readme.txt file for a description of the files.
DOI: 10.5281/zenodo.6045830
title: Data and Analysis for "On the Reliability of Coverage-based Fuzzer Benchmarking"

description: <pre><strong>Data and Analysis for "On the Reliability of Coverage-based Fuzzer Benchmarking"</strong> <strong>## Cite</strong> </pre> <pre><code>@inproceedings{benchmarking, author = {B{\"o}hme, Marcel and Szekeres, L{\'a}szl{\'o} and Metzman, Jonathan}, title = {On the Reliability of Coverage-based Fuzzer Benchmarking}, year = {2022}, booktitle = {Proceedings of the 44th International Conference on Software Engineering}, series = {ICSE '22}, pages = {1-13}, doi = {10.1145/3510003.3510230} }</code></pre> <pre> <strong>## Data Analysis</strong> The Jupyter notebook generating all tables and figures can be found in fuzzbench.manual.ipynb <strong>## Generated Images and Tables</strong> The generated data analysis artifacts are also available in this artifact. <strong>## Data</strong> All the data is available in the FuzzBench Reports and will be automatically downloaded. * 20 trials of 23 hours with 15 programs and 10 fuzzers. * Experiment name: 2021-02-17-bug-paper * Report: https://www.fuzzbench.com/reports/2021-02-17-bug-paper/index.html * Data: https://www.fuzzbench.com/reports/2021-02-17-bug-paper/data.csv.gz * Fuzzbench Commit: [38e344fef2f1079579391a0d9dcb52319f7051f2](https://github.com/google/fuzzbench/commits/38e344fef2f1079579391a0d9dcb52319f7051f2) * 30 trials of 23 hours with 11 programs and 10 fuzzers. * Experiment name: 2021-08-19-crash-s * Report: https://www.fuzzbench.com/reports/2021-08-19-crash-s/index.html and * Data: https://www.fuzzbench.com/reports/2021-08-19-crash-s/data.csv.gz * Fuzzbench Commit: db192b60815ac87f69ee0f7f3e37aeac71949e1b * 30 trials of 23 hours with 11 programs and 10 fuzzers. * Experiment name: 2021-08-19-crash-s2 * Report: https://www.fuzzbench.com/reports/2021-08-19-crash-s2/index.html and * Data: https://www.fuzzbench.com/reports/2021-08-19-crash-s2/data.csv.gz * Fuzzbench Commit: db192b60815ac87f69ee0f7f3e37aeac71949e1b The deduplicated data can be found in * 2021-02-17-bug-paper-fixed2.csv.gz * 2021-08-19-crash-s-fixed2.csv.gz * 2021-08-19-crash-s2-fixed2.csv.gz <strong>## Reproducibility</strong> </pre> <pre><code class="language-bash"># Download the precise version of FuzzBench used for the experiment git clone https://github.com/google/fuzzbench.git cd fuzzbench git checkout &lt;Fuzzbench Commit&gt; # Download the internal config file. curl https://storage.googleapis.com/[experiment-name]/config/experiment.yaml &gt; /tmp/experiment-config.yaml make install-dependencies # Launch the experiment using paramters from the internal config file. PYTHONPATH=. python experiment/reproduce_experiment.py -c /tmp/experiment-config.yaml -e &lt;new_experiment_name&gt;</code></pre>
DOI: 10.5281/zenodo.6045829
title: Data and Analysis for "On the Reliability of Coverage-based Fuzzer Benchmarking"

description: <pre><strong>Data and Analysis for "On the Reliability of Coverage-based Fuzzer Benchmarking"</strong> <strong>## Cite</strong> </pre> <pre><code>@inproceedings{benchmarking, author = {B{\"o}hme, Marcel and Szekeres, L{\'a}szl{\'o} and Metzman, Jonathan}, title = {On the Reliability of Coverage-based Fuzzer Benchmarking}, year = {2022}, booktitle = {Proceedings of the 44th International Conference on Software Engineering}, series = {ICSE '22}, pages = {1-13}, doi = {10.1145/3510003.3510230} }</code></pre> <pre> <strong>## Data Analysis</strong> The Jupyter notebook generating all tables and figures can be found in fuzzbench.manual.ipynb <strong>## Generated Images and Tables</strong> The generated data analysis artifacts are also available in this artifact. <strong>## Data</strong> All the data is available in the FuzzBench Reports and will be automatically downloaded. * 20 trials of 23 hours with 15 programs and 10 fuzzers. * Experiment name: 2021-02-17-bug-paper * Report: https://www.fuzzbench.com/reports/2021-02-17-bug-paper/index.html * Data: https://www.fuzzbench.com/reports/2021-02-17-bug-paper/data.csv.gz * Fuzzbench Commit: [38e344fef2f1079579391a0d9dcb52319f7051f2](https://github.com/google/fuzzbench/commits/38e344fef2f1079579391a0d9dcb52319f7051f2) * 30 trials of 23 hours with 11 programs and 10 fuzzers. * Experiment name: 2021-08-19-crash-s * Report: https://www.fuzzbench.com/reports/2021-08-19-crash-s/index.html and * Data: https://www.fuzzbench.com/reports/2021-08-19-crash-s/data.csv.gz * Fuzzbench Commit: db192b60815ac87f69ee0f7f3e37aeac71949e1b * 30 trials of 23 hours with 11 programs and 10 fuzzers. * Experiment name: 2021-08-19-crash-s2 * Report: https://www.fuzzbench.com/reports/2021-08-19-crash-s2/index.html and * Data: https://www.fuzzbench.com/reports/2021-08-19-crash-s2/data.csv.gz * Fuzzbench Commit: db192b60815ac87f69ee0f7f3e37aeac71949e1b The deduplicated data can be found in * 2021-02-17-bug-paper-fixed2.csv.gz * 2021-08-19-crash-s-fixed2.csv.gz * 2021-08-19-crash-s2-fixed2.csv.gz <strong>## Reproducibility</strong> </pre> <pre><code class="language-bash"># Download the precise version of FuzzBench used for the experiment git clone https://github.com/google/fuzzbench.git cd fuzzbench git checkout &lt;Fuzzbench Commit&gt; # Download the internal config file. curl https://storage.googleapis.com/[experiment-name]/config/experiment.yaml &gt; /tmp/experiment-config.yaml make install-dependencies # Launch the experiment using paramters from the internal config file. PYTHONPATH=. python experiment/reproduce_experiment.py -c /tmp/experiment-config.yaml -e &lt;new_experiment_name&gt;</code></pre>
DOI: 10.5281/zenodo.6044877
title: Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment

description: The dataset is related to the paper Piazza, C.; Pirovano, I.; Mastropietro, A.; Genova, C.; Gagliardi, C.; Turconi, A.C.; Malerba, G.; Panzeri, D.; Maghini, C.; Reni, G.; Rizzo, G. and Biffi E. Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment. Electronics 2021, 10, 2838. https://doi.org/10.3390/electronics10222838. It includes multimodal data (EEG, EMG, kinematics and kinetics) of a healthy child (HC) and a child with hemiparesis (CP01) during walking in a virtual environmment (GRAIL, Motek). Data can be opened by using EEGLab and Matlab
description: This research was funded by the Italian Ministry of Health (Ricerca Corrente "2020/2021" to E. Biffi) and by Fondazione Cariplo and Regione Lombardia (EMPATIA@Lecco)
DOI: 10.5281/zenodo.6044876
title: Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment

description: The dataset is related to the paper Piazza, C.; Pirovano, I.; Mastropietro, A.; Genova, C.; Gagliardi, C.; Turconi, A.C.; Malerba, G.; Panzeri, D.; Maghini, C.; Reni, G.; Rizzo, G. and Biffi E. Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment. Electronics 2021, 10, 2838. https://doi.org/10.3390/electronics10222838. It includes multimodal data (EEG, EMG, kinematics and kinetics) of a healthy child (HC) and a child with hemiparesis (CP01) during walking in a virtual environmment (GRAIL, Motek). Data can be opened by using EEGLab and Matlab
description: This research was funded by the Italian Ministry of Health (Ricerca Corrente "2020/2021" to E. Biffi) and by Fondazione Cariplo and Regione Lombardia (EMPATIA@Lecco)
DOI: 10.5281/zenodo.6045346
title: Analytical model for collisional impurity transport in tokamaks at arbitrary collisionality

description: Database of NEO simulations used to develop a set of formulae for an analytical model for collisional impurity transport in tokamaks.
DOI: 10.5281/zenodo.6045345
title: Analytical model for collisional impurity transport in tokamaks at arbitrary collisionality

description: Database of NEO simulations used to develop a set of formulae for an analytical model for collisional impurity transport in tokamaks.
DOI: 10.34740/kaggle/dsv/3171182
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.15454/fiyq1z
title: INRA:Populus x generosa:661301685

description: Abstract:661301685 is a Populus x generosa accession from GnpIS.
DOI: 10.15454/txqa3i
title: INRA:Populus x generosa:661301686

description: Abstract:661301686 is a Populus x generosa accession from GnpIS.
DOI: 10.15454/udh5ff
title: INRA:Populus x generosa:661301687

description: Abstract:661301687 is a Populus x generosa accession from GnpIS.
DOI: 10.15454/lic0re
title: INRA:Populus x generosa:661301688

description: Abstract:661301688 is a Populus x generosa accession from GnpIS.
DOI: 10.15454/c72tng
title: INRA:Populus x generosa:661301689

description: Abstract:661301689 is a Populus x generosa accession from GnpIS.
DOI: 10.15454/p0vdmd
title: INRA:Populus x generosa:661301690

description: Abstract:661301690 is a Populus x generosa accession from GnpIS.
DOI: 10.15454/xlirtl
title: INRA:Quercus robur:168

description: Abstract:168 is a Quercus robur accession from GnpIS.
DOI: 10.15454/lbc5kj
title: INRA:Quercus robur x Quercus robur ssp. slavonica:G161

description: Abstract:G161 is a Quercus robur x Quercus robur ssp. slavonica accession from GnpIS.
DOI: 10.15454/rpfcfw
title: INRA:Quercus robur x Quercus robur ssp. slavonica:G45

description: Abstract:G45 is a Quercus robur x Quercus robur ssp. slavonica accession from GnpIS.
DOI: 10.15454/qf9tiz
title: INRA:Quercus robur x Quercus robur ssp. slavonica:G46

description: Abstract:G46 is a Quercus robur x Quercus robur ssp. slavonica accession from GnpIS.
DOI: 10.15454/ecjfvr
title: INRA:Quercus robur x Quercus robur ssp. slavonica:G47

description: Abstract:G47 is a Quercus robur x Quercus robur ssp. slavonica accession from GnpIS.
DOI: 10.15454/yilmqy
title: INRA:Forage:3043

description: Abstract:3043 is a Forage accession from GnpIS.
DOI: 10.15454/ar2pcs
title: INRA:Forage:plurien

description: Abstract:plurien is a Forage accession from GnpIS.