cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6k8ata
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-79.608 -0.620816, -79.67826700000001 -0.626383, -79.74680499999999 -0.642945, -79.811925 -0.670095, -79.87202600000001 -0.707166, -79.925628 -0.753243, -79.971411 -0.807193, -80.008247 -0.867688, -80.03523 -0.933239, -80.051695 -1.002231, -80.057236 -1.072967, -80.051715 -1.143704, -80.035269 -1.212701, -80.00830000000001 -1.278259, -79.971473 -1.338763, -79.92569399999999 -1.392723, -79.872089 -1.438811, -79.81197899999999 -1.47589, -79.746844 -1.503047, -79.67828799999999 -1.519614, -79.608 -1.525182, -79.537712 -1.519614, -79.469156 -1.503047, -79.404021 -1.47589, -79.34391100000001 -1.438811, -79.290306 -1.392723, -79.24452700000001 -1.338763, -79.2077 -1.278259, -79.18073099999999 -1.212701, -79.16428500000001 -1.143704, -79.15876400000001 -1.072967, -79.164305 -1.002231, -79.18077 -0.933239, -79.207753 -0.867688, -79.244589 -0.807193, -79.290372 -0.753243, -79.343974 -0.707166, -79.40407500000001 -0.670095, -79.469195 -0.642945, -79.537733 -0.626383, -79.608 -0.620816))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020593-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73py4h
title: Occurrence Download

description: A dataset containing 4022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Folsomia candida, Hypogastrura socialis, Entomobrya nicoleti, Sminthurus viridis)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 4022 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020598-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14548428
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.z3cfv2
title: Occurrence Download

description: A dataset containing 1389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium spinosissimum, Cirsium spinosissimum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1389 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020594-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18300874
title: 1-fatal-findings covers  M-N
DOI: 10.5281/zenodo.18300875
title: 1-fatal-findings covers  M-N
DOI: 10.15468/dl.s57mqg
title: Occurrence Download

description: A dataset containing 94323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capra pyrenaica"
 ]
}

 The dataset includes 94323 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020540-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyh65f
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Laminaria rodriguezii"
 ]
}

 The dataset includes 262 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020601-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ka2mr2
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.31999999999999 8.162098, 99.24902400000001 8.156525999999999, 99.179801 8.139948, 99.114041 8.112773000000001, 99.05336699999999 8.075672000000001, 98.99927599999999 8.029560999999999, 98.95310000000001 7.975579, 98.915975 7.915057, 98.888813 7.849489, 98.87227799999999 7.78049, 98.866772 7.70976, 98.872426 7.639042, 98.889095 7.570076, 98.916364 7.50456, 98.953557 7.444104, 98.999757 7.390194, 99.05382400000001 7.344156, 99.11443 7.307121, 99.18008399999999 7.279998, 99.249172 7.263453, 99.31999999999999 7.257892, 99.390828 7.263453, 99.45991600000001 7.279998, 99.52557 7.307121, 99.58617599999999 7.344156, 99.640243 7.390194, 99.686443 7.444104, 99.723636 7.50456, 99.750905 7.570076, 99.767574 7.639042, 99.773228 7.70976, 99.76772200000001 7.78049, 99.751187 7.849489, 99.724025 7.915057, 99.68689999999999 7.975579, 99.64072400000001 8.029560999999999, 99.58663300000001 8.075672000000001, 99.525959 8.112773000000001, 99.460199 8.139948, 99.39097599999999 8.156525999999999, 99.31999999999999 8.162098))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 147 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020604-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrmyqj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-79.47 -0.5138160000000001, -79.540266 -0.519383, -79.608802 -0.535945, -79.67392100000001 -0.563096, -79.734021 -0.600167, -79.787621 -0.646244, -79.83340200000001 -0.700195, -79.870237 -0.760691, -79.897218 -0.826242, -79.913681 -0.895234, -79.91922099999999 -0.96597, -79.91370000000001 -1.036707, -79.89725300000001 -1.105704, -79.870285 -1.171261, -79.83345799999999 -1.231765, -79.78767999999999 -1.285725, -79.734077 -1.331812, -79.673969 -1.368891, -79.60883699999999 -1.396048, -79.540284 -1.412615, -79.47 -1.418183, -79.399716 -1.412615, -79.331163 -1.396048, -79.266031 -1.368891, -79.205923 -1.331812, -79.15232 -1.285725, -79.106542 -1.231765, -79.069715 -1.171261, -79.04274700000001 -1.105704, -79.02630000000001 -1.036707, -79.020779 -0.96597, -79.026319 -0.895234, -79.042782 -0.826242, -79.06976299999999 -0.760691, -79.10659800000001 -0.700195, -79.152379 -0.646244, -79.205979 -0.600167, -79.266079 -0.563096, -79.331198 -0.535945, -79.399734 -0.519383, -79.47 -0.5138160000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020605-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18300870
title: Langenlonsheim, Hirsch-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]  Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.yav4cr
title: Occurrence Download

description: A dataset containing 12094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 12094 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020597-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18300887
title: Maritime Port Dataset
DOI: 10.5281/zenodo.18300886
title: Maritime Port Dataset
DOI: 10.5281/zenodo.17769277
title: Super compensatory substitutions restore protein function and flatten fitness landscapes

description: Wenhong Jiang1,5† *, Hengchuang Yin2,5†, Saad S. Khan3,5†, Yiparemu4 and Lucas B. Carey5,6*

1 Key Laboratory of Fermentation Engineering (Ministry of Education), National 111 Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan, Hubei, 430068, China

2 Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Science, Urumqi, China

3 Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, MA 02115, US

4 Henan University School of Stomatology, Kaifeng, China

5 Center for Quantitative Biology, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China

6 Pando Bioscience, Watertown, MA. 

 

 



Codes: scripts

  MakeRescuabilityFile.py ##generate the rescuability files

  MakeSingleSiteRescuabilityFile.py ## calculate the rescuability for each site of His3p

  MakeSingleSiteConservationFile.py ##calculate the conservation score for each site of His3p

  MakeFeaturePredictFitnessFile.py ##generate the correlation files that AAindex value of amino acids can predict fitness

  MakeSubsCompensateAlleles.py ##detect super compensators

  MakeSCBufferingAbility.py ##generate the files that super compensator can buffer the fitness landscape

  MaskesuperCompensators_multipleDMSdata.py ##detect super compensators from other public DMS data

  MaskesuperCompensator_analysis_skwness_multipleDMSdata.py ##evaluate if super compensators from other public DMS data can reduce fitness effects

File:files

  Original_SData ##fitness for each variant

  RescuabilityFile ##the rescuability files

  RSAWCNConservationInterfaceFile ##RSA/WCN/Conservation score of each site of His3p

  EnergyCalculationVariants ##the △△G for variants

  FeaturePredictFitness ##files that AAindex value of amino acid can predict fitness

  SuperCompensationFile ##super compensators

  DeepLearningWeights ##files of fitness impact score of each allele

  CoexsitAlleleinSpecies ##files that super compensators can co-exist with other deleterious alleles

Makefile:the main script to generate files by running the scripts in Codes
DOI: 10.5281/zenodo.17769278
title: Super compensatory substitutions restore protein function and flatten fitness landscapes

description: Wenhong Jiang1,5† *, Hengchuang Yin2,5†, Saad S. Khan3,5†, Yiparemu4 and Lucas B. Carey5,6*

1 Key Laboratory of Fermentation Engineering (Ministry of Education), National 111 Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan, Hubei, 430068, China

2 Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Science, Urumqi, China

3 Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, MA 02115, US

4 Henan University School of Stomatology, Kaifeng, China

5 Center for Quantitative Biology, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China

6 Pando Bioscience, Watertown, MA. 

 

 



Codes: scripts

  MakeRescuabilityFile.py ##generate the rescuability files

  MakeSingleSiteRescuabilityFile.py ## calculate the rescuability for each site of His3p

  MakeSingleSiteConservationFile.py ##calculate the conservation score for each site of His3p

  MakeFeaturePredictFitnessFile.py ##generate the correlation files that AAindex value of amino acids can predict fitness

  MakeSubsCompensateAlleles.py ##detect super compensators

  MakeSCBufferingAbility.py ##generate the files that super compensator can buffer the fitness landscape

  MaskesuperCompensators_multipleDMSdata.py ##detect super compensators from other public DMS data

  MaskesuperCompensator_analysis_skwness_multipleDMSdata.py ##evaluate if super compensators from other public DMS data can reduce fitness effects

File:files

  Original_SData ##fitness for each variant

  RescuabilityFile ##the rescuability files

  RSAWCNConservationInterfaceFile ##RSA/WCN/Conservation score of each site of His3p

  EnergyCalculationVariants ##the △△G for variants

  FeaturePredictFitness ##files that AAindex value of amino acid can predict fitness

  SuperCompensationFile ##super compensators

  DeepLearningWeights ##files of fitness impact score of each allele

  CoexsitAlleleinSpecies ##files that super compensators can co-exist with other deleterious alleles

Makefile:the main script to generate files by running the scripts in Codes
DOI: 10.15468/dl.d4d9ee
title: Occurrence Download

description: A dataset containing 41221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenella coeruleoalba"
 ]
}

 The dataset includes 41221 records from 413 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020603-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7sezx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alboglossiphonia weberi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020606-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17521812
title: LArc 2026

description: Online appendix for a study on leveraging Multimodal Entity Linking (MEL) for LLM-based metamodel generation, submitted to the 2nd International Workshop on Low-Code Development and Software Architecture (LArc 2026).
DOI: 10.5281/zenodo.17521813
title: LArc 2026

description: Online appendix for a study on leveraging Multimodal Entity Linking (MEL) for LLM-based metamodel generation, submitted to the 2nd International Workshop on Low-Code Development and Software Architecture (LArc 2026).
DOI: 10.5281/zenodo.18300835
title: Research on Fraud Prevention in SMEs Based on Ethical Leadership, Whistleblowing System, and Owner Integrity

description: SAV processing data for SPSS
DOI: 10.5281/zenodo.18300836
title: Research on Fraud Prevention in SMEs Based on Ethical Leadership, Whistleblowing System, and Owner Integrity

description: SAV processing data for SPSS
DOI: 10.15468/dl.zrsp2w
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium tuberosum, Cirsium bulbosum, Cirsium bulbosum, Cirsium bulbosum, Cirsium bulbosum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020607-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jp6heb
title: Occurrence Download

description: A dataset containing 1033816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Switzerland, Austria, Liechtenstein, Slovenia, Slovakia, Czechia, Poland, Denmark, Sweden, Norway, Italy)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amphibia, Squamata, Testudines)",
 "Year 2010-2026"
 ]
}

 The dataset includes 1033816 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020580-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18298214
title: LArc 2026

description: Online appendix for a study on leveraging Multimodal Entity Linking (MEL) for LLM-based metamodel generation, submitted to the 2nd International Workshop on Low-Code Development and Software Architecture (LArc 2026).
DOI: 10.5281/zenodo.18298215
title: LArc 2026

description: Online appendix for a study on leveraging Multimodal Entity Linking (MEL) for LLM-based metamodel generation, submitted to the 2nd International Workshop on Low-Code Development and Software Architecture (LArc 2026).
DOI: 10.5281/zenodo.18300760
title: SafeCREW-T4.2-CS2-Feltre

description: Dataset for the analysis and modeling of soft-sensors for SafeCREW T4.2 CS2 DWDN
DOI: 10.5281/zenodo.18300759
title: SafeCREW-T4.2-CS2-Feltre

description: Dataset for the analysis and modeling of soft-sensors for SafeCREW T4.2 CS2 DWDN
DOI: 10.15468/dl.c7dd84
title: Occurrence Download

description: A dataset containing 5871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Country is Brazil",
 "StateProvince is Amazonas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5871 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020609-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c57d2qm86
title: MassIVE MSV000100513 - Pegtarazimod for acute graft-versus-host disease in mice and patients
title: LC-MS analysis of organoids grown in matrigel. There are 3 experimental groups: empty control, vehicle control, and pegtarazimod treated. See enclosed .docx file for details.
DOI: 10.5281/zenodo.17657773
title: Dataset from Field Testing of ADAS Technologies in Naturalistic Driving Conditions
DOI: 10.15468/dl.qe8t4r
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.31 8.195097000000001, 99.239018 8.189525, 99.16978899999999 8.172947000000001, 99.104024 8.145771999999999, 99.043345 8.108670999999999, 98.98925 8.06256, 98.94307000000001 8.008578, 98.90594299999999 7.948056, 98.87877899999999 7.882488, 98.86224300000001 7.813488, 98.856737 7.742759, 98.862392 7.672041, 98.879062 7.603076, 98.906333 7.537559, 98.94353 7.477103, 98.989733 7.423194, 99.04380500000001 7.377157, 99.104415 7.340121, 99.170073 7.312998, 99.23916699999999 7.296453, 99.31 7.290893, 99.380833 7.296453, 99.449927 7.312998, 99.515585 7.340121, 99.576195 7.377157, 99.630267 7.423194, 99.67646999999999 7.477103, 99.713667 7.537559, 99.740938 7.603076, 99.757608 7.672041, 99.76326299999999 7.742759, 99.757757 7.813488, 99.741221 7.882488, 99.714057 7.948056, 99.67693 8.008578, 99.63075000000001 8.06256, 99.576655 8.108670999999999, 99.51597599999999 8.145771999999999, 99.450211 8.172947000000001, 99.380982 8.189525, 99.31 8.195097000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 150 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020610-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17657772
title: Dataset from Field Testing of ADAS Technologies in Naturalistic Driving Conditions