cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10533731
title: Machine Virtuelle CSTB/Lampéa

description: Issu de la gestion de l’aménagement du territoire et du parcours de vie des bâtiments, le jumeau numérique 3D est un outil déjà bien défini avec des formats interopérables, standardisés et des chaînes opératoires/process éprouvés (collaboratives, traçabilité des fichiers et de leurs modifications, etc.). 

Le présent projet de collaboration institutionnel se propose d’appliquer le maquettage 3D pour fournir, non pas une cinématique 3D esthétisante de plus, mais un véritable S.I.G 3D aux potentialités d’études immersives importantes. Un outil en quatre dimensions (référentiel euclidien et variable temporelle), regroupant les problématiques de conservation et de recherche, est, désormais, indispensable pour la gestion conservatoire et scientifique de la grotte Cosquer (Marseille, Bouche du Rhône.

Les précédentes preuves de concept issues de projets SHS ont prouvé la pertinence de lier l’expertise du CSTB aux objets patrimoniaux numériques issus de la recherche en sciences humaines et sociales. Le retour d’expérience du CSTB face à l’étude de la résistance et du vieillissement des matériaux sera, tout particulièrement, attendu face aux problématiques de conservation de « Cosquer ».

Cette mise en place numérique peut, également, palier à la grande difficulté d’accès à « Cosquer » et au temps d’intervention très réduit in situ. Autant immergé que submergé, l’espace d’étude sera celui du gisement archéologique et de la zone immédiatement autour de ce dernier. La création du jumeau numérique « Cosquer » permettra le travail collaboratif des différents personnels scientifiques et des organismes collaborant aux études actuelles ou à venir (Inrap, CNP, Musées, MCC, LAMPEA, AMU, SRA, etc.).
DOI: 10.5281/zenodo.10546869
title: Machine Virtuelle CSTB/Lampéa

description: Issu de la gestion de l’aménagement du territoire et du parcours de vie des bâtiments, le jumeau numérique 3D est un outil déjà bien défini avec des formats interopérables, standardisés et des chaînes opératoires/process éprouvés (collaboratives, traçabilité des fichiers et de leurs modifications, etc.). 

Le présent projet de collaboration institutionnel se propose d’appliquer le maquettage 3D pour fournir, non pas une cinématique 3D esthétisante de plus, mais un véritable S.I.G 3D aux potentialités d’études immersives importantes. Un outil en quatre dimensions (référentiel euclidien et variable temporelle), regroupant les problématiques de conservation et de recherche, est, désormais, indispensable pour la gestion conservatoire et scientifique de la grotte Cosquer (Marseille, Bouche du Rhône.

Les précédentes preuves de concept issues de projets SHS ont prouvé la pertinence de lier l’expertise du CSTB aux objets patrimoniaux numériques issus de la recherche en sciences humaines et sociales. Le retour d’expérience du CSTB face à l’étude de la résistance et du vieillissement des matériaux sera, tout particulièrement, attendu face aux problématiques de conservation de « Cosquer ».

Cette mise en place numérique peut, également, palier à la grande difficulté d’accès à « Cosquer » et au temps d’intervention très réduit in situ. Autant immergé que submergé, l’espace d’étude sera celui du gisement archéologique et de la zone immédiatement autour de ce dernier. La création du jumeau numérique « Cosquer » permettra le travail collaboratif des différents personnels scientifiques et des organismes collaborant aux études actuelles ou à venir (Inrap, CNP, Musées, MCC, LAMPEA, AMU, SRA, etc.).
DOI: 10.15468/dl.cc9gdd
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063921-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kztj6u
title: Occurrence Download

description: A dataset containing 8274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achillea collina (Wirtg.) Becker ex Heimerl"
 ]
}

 The dataset includes 8274 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063922-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pjm4e
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063923-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2hbzj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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/0063924-250525065834625/datasets/export for details.
DOI: 10.15468/dl.smvtx6
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pecari tajacu (Linnaeus, 1758)"
 ]
}

 The dataset includes 285 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063925-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfqjbj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063926-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkzbub
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063927-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh968s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063928-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tqfkfv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063929-250525065834625/datasets/export for details.
DOI: 10.15468/dl.3shnnb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063930-250525065834625/datasets/export for details.
DOI: 10.15468/dl.hggph2
title: Occurrence Download

description: A dataset containing 2109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-52.13448 -18.24755,-51.18789 -18.24755,-51.18789 -17.46431,-52.13448 -17.46431,-52.13448 -18.24755))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2109 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063931-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5rrq2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063932-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14281689
title: Learning to Edit Interactive Machine Learning Notebooks

description: Machine learning (ML) developers frequently use interactive computational notebooks, such as Jupyter notebooks, to host code for data processing and model training. Notebooks provide a convenient tool for writing ML pipelines and interactively observing outputs. However, maintaining notebooks, e.g., to add new features or fix bugs, can be challenging due to the length and complexity of the ML pipeline code. Moreover, there is no existing benchmark related to developer edits on notebooks.In this paper, we present early results of the first study on learning to edit ML pipeline code in notebooks using large language models (LLMs). We collect the first dataset of 48,398 notebook edits derived from 20,095 revisions of 792 ML-related GitHub repositories. Our dataset captures granular details of file-level and cell-level modifications, offering a foundation for understanding real-world maintenance patterns in ML pipelines. We observe that the edits on notebooks are highly localized. Although LLMs have been shown to be effective on general-purpose code generation and editing, our results reveal that the same LLMs, even after finetuning, have low accuracy on notebook editing, demonstrating the complexity of real-world ML pipeline maintenance tasks. Our findings emphasize the critical role of contextual information in improving model performance and point toward promising avenues for advancing LLMs' capabilities in engineering ML code.
DOI: 10.5281/zenodo.15716537
title: Learning to Edit Interactive Machine Learning Notebooks

description: Machine learning (ML) developers frequently use interactive computational notebooks, such as Jupyter notebooks, to host code for data processing and model training. Notebooks provide a convenient tool for writing ML pipelines and interactively observing outputs. However, maintaining notebooks, e.g., to add new features or fix bugs, can be challenging due to the length and complexity of the ML pipeline code. Moreover, there is no existing benchmark related to developer edits on notebooks.In this paper, we present early results of the first study on learning to edit ML pipeline code in notebooks using large language models (LLMs). We collect the first dataset of 48,398 notebook edits derived from 20,095 revisions of 792 ML-related GitHub repositories. Our dataset captures granular details of file-level and cell-level modifications, offering a foundation for understanding real-world maintenance patterns in ML pipelines. We observe that the edits on notebooks are highly localized. Although LLMs have been shown to be effective on general-purpose code generation and editing, our results reveal that the same LLMs, even after finetuning, have low accuracy on notebook editing, demonstrating the complexity of real-world ML pipeline maintenance tasks. Our findings emphasize the critical role of contextual information in improving model performance and point toward promising avenues for advancing LLMs' capabilities in engineering ML code.
DOI: 10.15468/dl.e8p2kt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sellaphora nigri (De Notaris) C.E.Wetzel & L.Ector, 2015",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063934-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6gxbwt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes catenata Bily & Marvan, 1959",
 "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 ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063936-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uh4znz
title: Occurrence Download

description: A dataset containing 27834 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platymiscium pinnatum (Jacq.) Dugand"
 ]
}

 The dataset includes 27834 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063935-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqyadh
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes catenata Bily & Marvan, 1959",
 "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 ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063937-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an2css
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Harpyionycteris whiteheadi Thomas, 1896"
 ]
}

 The dataset includes 267 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063938-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp66e4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes catenata Bily & Marvan, 1959",
 "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 ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063939-250525065834625/datasets/export for details.
DOI: 10.15468/dl.h5rknk
title: Occurrence Download

description: A dataset containing 5210957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "License is CC0 1.0"
 ]
}

 The dataset includes 5210957 records from 2631 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063933-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhqnr5
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.29_1, USA.3_1, USA.45_1, USA.5_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Perdita meconis Griswold, 1993"
 ]
}

 The dataset includes 223 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004836-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14768431
title: TRNSYS Simulation Database

description: This dataset contains a full database of thermal building simulations with TRNSYS, used for research related to passive measures for sustainable building design. TRNSYS is a widely used software tool for simulating the transient performance of thermal and energy systems, commonly applied in the field of sustainable building design. The database includes data on simulation inputs (with varying geometry, weather, and materials) and simulation results, as well as metadata.

This database is designed for:



Researchers studying passive design strategies for energy-efficient buildings.

Engineers looking to analyze simulation outputs for design validation.

Data scientists exploring data-driven modeling and optimization in sustainable building design.
DOI: 10.5281/zenodo.14768432
title: TRNSYS Simulation Database

description: This dataset contains a full database of thermal building simulations with TRNSYS, used for research related to passive measures for sustainable building design. TRNSYS is a widely used software tool for simulating the transient performance of thermal and energy systems, commonly applied in the field of sustainable building design. The database includes data on simulation inputs (with varying geometry, weather, and materials) and simulation results, as well as metadata.

This database is designed for:



Researchers studying passive design strategies for energy-efficient buildings.

Engineers looking to analyze simulation outputs for design validation.

Data scientists exploring data-driven modeling and optimization in sustainable building design.
DOI: 10.15468/dl.qn8ku6
title: Occurrence Download

description: A dataset containing 599434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araceae",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 599434 records from 1192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004834-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.