cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.955wbe
title: Occurrence Download

description: A dataset containing 9589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Portugal, Spain)",
 "Geometry POLYGON((-2.04881 43.60702,-8.39937 44.30812,-10.21602 42.96537,-9.28795 40.7143,-9.95932 38.83841,-9.50516 36.68607,-7.68851 36.70582,-6.50743 35.92172,-5.64007 35.93579,-5.41276 36.00092,-5.12995 36.10511,-4.86203 36.04557,-1.67669 36.7005,0.51137 38.41225,0.77929 40.13888,4.15813 42.40136,-2.04881 43.60702))",
 "OccurrenceStatus is Present",
 "TaxonKey is Agrostis capillaris"
 ]
}

 The dataset includes 9589 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006392-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qd9f7r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sorex roboratus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006393-250802193616735/datasets/export for details.
DOI: 10.15468/dl.qj5g8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sorex roboratus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006395-250802193616735/datasets/export for details.
DOI: 10.15468/dl.pz8t7f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sorex roboratus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006394-250802193616735/datasets/export for details.
DOI: 10.15468/dl.r49t2w
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Citharinus citharus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 175 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006396-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbprnp
title: Occurrence Download

description: A dataset containing 1451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heterocercus linteatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1451 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006397-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jaesh5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cantinoa americana",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006398-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15470924
title: RSQSim catalogues for the Monte Vettore Fault System (Central Italy)

description: Description

This repository stores the simulated RSQSim earthquake catalogues shown and discussed in the preprint "Coseismic Surface Rupture Probabilities from Earthquake Cycle Simulations: Influence of Fault Geometry".

We provide twelve folders, one for each RSQSim catalogue computed in the article. Each folder contains all input and output files from the RSQSim calculations, including the fault model, input parameter file and resulting catalogue files. The folder names indicate the fault geometric model considered for that catalogue (see article for details). The files contained are:

A. Inputs



paramfile.in: List of input parameter variables required for the RSQSim calculation and calls to the fault model where the simulations will be computed.

Nodes_RSQSim_300.flt: Fault model in a text-based ascii file. Each line of the file corresponds to the info of one element of the triangular mesh that composesthe fault: X,Y,Z of the triangle nodes, fault rake (in degrees), fault slip rate (in m/s) and fault segment and fault IDs (i.e., the fault or segment where that element belongs).

neighbors_300.dat: Text-based ascii file that groups the eight neighboring fault elements to each fault element. The grouping is done by their element ID - i.e., number of row in the fault model.


B. Outputs



eqs.italy.out: Simulated earthquake catalogue in a text-based ascii file. The file stores data for each simulated earthquake including X, Y, Z of the hypocenter, time in the catalogue (in seconds) magnitude (Mw), seismic moment, rupture area and stress drop. At the beginning of the file, the info of all input files described above is also stored.

binary files: These files contain detailed information of each patch during every earthquake in the simulated catalogue, including patches activated during an event (italy.pList), their slip (italy.dList), stress drop (italy.dtauList), time of rupture (italy.tList), and the event ID - i.e., number of row in the catalogue file -  that they belong to (italy.eList), among others.


Funding statement

This research work was funded by the European Commission – NextGenerationEU, through Momentum CSIC Programme: Develop Your Digital Talent (project GDxGT; ref. MMT24-IGME-02), and by the TREAD project (daTa and pRocesses in sEismic hAzarD), funded by the European Union under the programme Horizon Europe: Marie Skłodowska-Curie Actions (MSCA) with grant agreement no. 101072699.

Octavi Gómez-Novell is staff hired under the Generation D initiative, promoted by Red.es, an organisation attached to the Ministry for Digital Transformation and the Civil Service, for the attraction and retention of talent through grants and training contracts, financed by the Recovery, Transformation and Resilience Plan through the European Union's Next Generation funds.
DOI: 10.15468/dl.az9tav
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cantinoa americana",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006399-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85pb9c
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corydoras sodalis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006400-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jq6dyf
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypocalyptus oxalidifolius, Hypocalyptus oxalidifolius)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 214 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006401-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/0duny2
title: BLS Lichen Database: England churchyards 1650-2016

description: A collation of the available lichen records for churches, graveyards and burial grounds in England from 1650 to January 2017, for purposes of conservation, future monitoring and research. Habitat and substrate information is included where available.
DOI: 10.15468/dl.pfgtkv
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cantinoa americana",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 308 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006402-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/tbig5c
title: BLS Lichen Database: Scotland 1700-2016

description: A collation of the available lichen records for sites in Scotland from 1700 to January 2017, for purposes of conservation, future monitoring and research. Habitat and substrate information is included where available.
DOI: 10.15468/jskjlm
title: BLS Lichen Database: England 1650-2016

description: A collation of the available lichen records for sites (excluding churches and graveyards) in England from 1650 to January 2017, for purposes of conservation, future monitoring and research. Habitat and substrate information is included where available.
DOI: 10.15468/dl.dxhq25
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum urvillei",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006403-250802193616735/datasets/export for details.
DOI: 10.15468/dl.2f44ws
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum urvillei",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 371 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006404-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jmedc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum urvillei",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006405-250802193616735/datasets/export for details.
DOI: 10.15468/dl.kezwdz
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothus myriaster"
 ]
}

 The dataset includes 286 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006406-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq8wet
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sorex minutissimus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006408-250802193616735/datasets/export for details.
DOI: 10.15468/dl.km9dx9
title: Occurrence Download

description: A dataset containing 991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heteroglaux blewitti)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 991 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006407-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15434390
title: PipeBlocks: A Block-based Environment for CI/CD

description: 📦 Repository Package: PipeBlocks

A Block-based Environment for CI/CD

This repository accompanies our study on PipeBlocks, a block-based programming environment designed for Continuous Integration and Continuous Deployment (CI/CD). Inside reproducibility.zip, you'll find all the components necessary to reproduce the environment, datasets, and analytical results from our study.



📁 Folder Structure Overview

1. application/

Contains the full source code for the PipeBlocks environment.





Install dependencies:



 

yarn install






Run the environment:



 

npm run dev







2. metamodel2blockly/

Python script to transform a given .ecore metamodel into initial Blockly blocks for the PipeBlocks editor.





Install dependencies:



 

pip install -r requirements.txt






Run the parser:



 

python metamodel2blockly.py your_metamodel.ecore







3. visualcicdstudy/

Contains the configuration files used during the study. These files define the CI/CD workflows, experiment setups, and environment settings as applied in the experimental tasks.



4. blocklytestsw/

Includes the JSON specifications used to configure Blockly blocks. These files define the available blocks and their properties as used in the PipeBlocks environment.



5. datasetsvisualcicd/

Holds the datasets collected during the study, including:





Pre- and post-study questionnaires




System Usability Scale (SUS) responses




NASA Task Load Index (NASA-TLX) responses




Repository metadata





6. repositories/

An anonymized snapshot of repositories created by participants during the study sessions.



7. statscalculating/

Python scripts for statistical analysis of the collected data.





Install dependencies:



 

pip install -r requirements.txt






Run individual analysis scripts:



NASA-TLX Analysis:



python nasa.py                  # General analysis
python nasatlxpercomponent.py   # By component
python nasatlxpergroup.py       # By group
python nasatlxperuser.py        # By user



SUS (System Usability Scale) Analysis:



python sus.py                   # General analysis
python susgroup.py              # By group
python susperindividual.py      # By user



Pre-questionnaire Analysis:



python prequestionnaire.py





8. graphs/

Includes visual representations and Vega-Lite JSON specifications used to generate the graphs presented in the study.
DOI: 10.5281/zenodo.15434391
title: PipeBlocks: A Block-based Environment for CI/CD

description: 📦 Repository Package: PipeBlocks

A Block-based Environment for CI/CD

This repository accompanies our study on PipeBlocks, a block-based programming environment designed for Continuous Integration and Continuous Deployment (CI/CD). Inside reproducibility.zip, you'll find all the components necessary to reproduce the environment, datasets, and analytical results from our study.



📁 Folder Structure Overview

1. application/

Contains the full source code for the PipeBlocks environment.





Install dependencies:



 

yarn install






Run the environment:



 

npm run dev







2. metamodel2blockly/

Python script to transform a given .ecore metamodel into initial Blockly blocks for the PipeBlocks editor.





Install dependencies:



 

pip install -r requirements.txt






Run the parser:



 

python metamodel2blockly.py your_metamodel.ecore







3. visualcicdstudy/

Contains the configuration files used during the study. These files define the CI/CD workflows, experiment setups, and environment settings as applied in the experimental tasks.



4. blocklytestsw/

Includes the JSON specifications used to configure Blockly blocks. These files define the available blocks and their properties as used in the PipeBlocks environment.



5. datasetsvisualcicd/

Holds the datasets collected during the study, including:





Pre- and post-study questionnaires




System Usability Scale (SUS) responses




NASA Task Load Index (NASA-TLX) responses




Repository metadata





6. repositories/

An anonymized snapshot of repositories created by participants during the study sessions.



7. statscalculating/

Python scripts for statistical analysis of the collected data.





Install dependencies:



 

pip install -r requirements.txt






Run individual analysis scripts:



NASA-TLX Analysis:



python nasa.py                  # General analysis
python nasatlxpercomponent.py   # By component
python nasatlxpergroup.py       # By group
python nasatlxperuser.py        # By user



SUS (System Usability Scale) Analysis:



python sus.py                   # General analysis
python susgroup.py              # By group
python susperindividual.py      # By user



Pre-questionnaire Analysis:



python prequestionnaire.py





8. graphs/

Includes visual representations and Vega-Lite JSON specifications used to generate the graphs presented in the study.
DOI: 10.15468/dl.k4g2ps
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sorex minutissimus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006409-250802193616735/datasets/export for details.
DOI: 10.15468/dl.hfyc8j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sorex minutissimus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006410-250802193616735/datasets/export for details.
DOI: 10.15468/dl.m8fzte
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Citharinus latus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006411-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejaws4
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lipoptena cervi",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 347 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006413-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.