cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yn3kvj
title: Occurrence Download

description: A dataset containing 41267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1969-2000",
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Citrus ×latifolia (Yu.Tanaka ex Yu.Tanaka) Yu.Tanaka",
 "TaxonKey is Artocarpus altilis (Parkinson) Fosberg",
 "TaxonKey is Solanum duplosinuatum Klotzsch",
 "TaxonKey is Coffea congensis A.Froehner",
 "TaxonKey is Vicia sativa subsp. incisa (M.Bieb.) Arcang.",
 "TaxonKey is Vicia narbonensis L.",
 "TaxonKey is Spinacia tetrandra Roxb.",
 "TaxonKey is Sinapis alba subsp. dissecta (Lag.) Simonk.",
 "TaxonKey is Raphanus raphanistrum L.",
 "TaxonKey is Medicago glomerata Balb.",
 "TaxonKey is Lupinus albus L.",
 "TaxonKey is Lens culinaris subsp. orientalis (Boiss.) Ponert",
 "TaxonKey is Lathyrus sativus L.",
 "TaxonKey is Crocus sativus L.",
 "TaxonKey is Cichorium pumilum Jacq.",
 "TaxonKey is Chrysanthemum ×morifolium Ramat.",
 "TaxonKey is Brassica rapa L.",
 "TaxonKey is Armoracia sisymbrioides (DC.) N.Busch ex Ganesch.",
 "TaxonKey is Allium ramosum L.",
 "TaxonKey is Allium fistulosum L."
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41267 records from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008865-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sj6mx
title: Occurrence Download

description: A dataset containing 13941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-122.6617698999999959 45.4583498000000006, -122.6617698999999959 45.4601282599999976, -122.6617698999999959 45.4622624100000010, -122.6617698999999959 45.4646336899999994, -122.6617698999999959 45.4665307200000015, -122.6617698999999959 45.4689019999999999, -122.6617698999999959 45.4702061999999998, -122.6591588000000002 45.4702061999999998, -122.6560728000000040 45.4702061999999998, -122.6542924200000044 45.4702061999999998, -122.6519185700000065 45.4702061999999998, -122.6482391100000058 45.4702061999999998, -122.6457465799999937 45.4702061999999998, -122.6444409599999972 45.4702061999999998, -122.6418297299999978 45.4702061999999998, -122.6381504000000007 45.4702061999999998, -122.6381504000000007 45.4677163599999972, -122.6381504000000007 45.4661750200000014, -122.6381504000000007 45.4641594400000031, -122.6381504000000007 45.4627366699999982, -122.6381504000000007 45.4608396400000032, -122.6381504000000007 45.4583498000000006, -122.6404054199999933 45.4583498000000006, -122.6421858100000009 45.4583498000000006, -122.6450344200000018 45.4583498000000006, -122.6472895699999981 45.4583498000000006, -122.6497821100000039 45.4583498000000006, -122.6533428799999967 45.4583498000000006, -122.6559541099999961 45.4583498000000006, -122.6593961800000017 45.4583498000000006, -122.6617698999999959 45.4583498000000006))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 13941 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097211-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112030166
title: Cuneiform Tablet 1913.14.1523, Spurlock 1913.14.1523

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1523; CDLI P421375 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Pale Orange Yellow (10YR 8/3.5) ❧ [Physical Object Note:] 6.7 x 3.6 x 1.8 cm (42 g)
DOI: 10.15468/dl.22hkqd
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.31702 4.54357,-74.69055 4.78447,-74.99817 4.41214,-74.4928 4.13824,-74.31702 4.54357))",
 "TaxonKey is Rhodinocichla rosea (R.Lesson, 1832)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 94 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079573-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kapnyd
title: Occurrence Download

description: A dataset containing 77263 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus alba L."
 ]
}

 The dataset includes 77263 records from 613 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076780-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28827329
title: Tidal_Manning_Data

description: This data is belong to Dr Chao Gao
DOI: 10.5281/zenodo.15082635
title: Vulnerability prediction using pre-trained models: An empirical evaluation [Dataset]

description: This dataset contains the extension of a publicly available dataset that was published initially by Bagheri et al. in their paper:

A. Bagheri and P. Hegedűs, "A comparison of different source code representation methods for vulnerability prediction in python", Quality of Information and Communications Technology, 2021.

 

This dataset is an extension of the dataset presented by Bagheri et al., who used a version control system as a data source for collecting source code components. Specifically, they used GitHub since it has a high number of software projects. To create a labeled dataset, i.e., a dataset of files signed with a label that declares if they are vulnerable or not, they scanned the commit messages in Python GitHub projects. In particular, they searched for commits, which contain vulnerability-fixing keywords in the commit message. They gathered a large number of Python source files included in such commits. The version of each file before the vulnerability-fixing commit (i.e., parent version) is considered vulnerable, since it contains the vulnerability that required a patch, whereas the version of the file in the vulnerability-fixing commit is considered non-vulnerable. However, in their study, Bagheri et al. utilized only the fragment of the diff file, which contains the difference between the vulnerable and the fixed version, and they proposed models to separate the “bad” and the “good” parts of a file. In the current study, we extend their dataset by collecting clean (i.e., non-vulnerable) versions from GitHub. For this purpose, we retrieved files from the latest version of the dataset’s GitHub repositories, since the latest versions are the safest versions that can be considered non-vulnerable because no vulnerabilities have yet been reported for them. Hence, we can construct models to perform vulnerability prediction at the file-level of granularity. Overall, the extended dataset contains 4,184 Python files, 3,186 of which are considered vulnerable and 998 are considered neutral (i.e., non-vulnerable).
DOI: 10.5281/zenodo.15082636
title: Vulnerability prediction using pre-trained models: An empirical evaluation [Dataset]

description: This dataset contains the extension of a publicly available dataset that was published initially by Bagheri et al. in their paper:

A. Bagheri and P. Hegedűs, "A comparison of different source code representation methods for vulnerability prediction in python", Quality of Information and Communications Technology, 2021.

 

This dataset is an extension of the dataset presented by Bagheri et al., who used a version control system as a data source for collecting source code components. Specifically, they used GitHub since it has a high number of software projects. To create a labeled dataset, i.e., a dataset of files signed with a label that declares if they are vulnerable or not, they scanned the commit messages in Python GitHub projects. In particular, they searched for commits, which contain vulnerability-fixing keywords in the commit message. They gathered a large number of Python source files included in such commits. The version of each file before the vulnerability-fixing commit (i.e., parent version) is considered vulnerable, since it contains the vulnerability that required a patch, whereas the version of the file in the vulnerability-fixing commit is considered non-vulnerable. However, in their study, Bagheri et al. utilized only the fragment of the diff file, which contains the difference between the vulnerable and the fixed version, and they proposed models to separate the “bad” and the “good” parts of a file. In the current study, we extend their dataset by collecting clean (i.e., non-vulnerable) versions from GitHub. For this purpose, we retrieved files from the latest version of the dataset’s GitHub repositories, since the latest versions are the safest versions that can be considered non-vulnerable because no vulnerabilities have yet been reported for them. Hence, we can construct models to perform vulnerability prediction at the file-level of granularity. Overall, the extended dataset contains 4,184 Python files, 3,186 of which are considered vulnerable and 998 are considered neutral (i.e., non-vulnerable).
DOI: 10.5281/zenodo.15102601
title: Lausanne agglomeration extent

description: Computation of the spatial extent of the agglomeration of Lausanne with the Urban footprinter, which implements the methods proposed in the Atlas of Urban Expansion. More precisely, in this repository, a pixel is considered part of the urban extent when at least 15% of the pixels that surround it (with a 500m radius) are of urban land use.


Use conditions


The obtained extent is based on the Official cadastral survey of the canton of Vaud whose exclusive owner is the canton of Vaud. In order to use this dataset, the source must be acknowledged as in:




Source: Géodonnées Etat de Vaud



The use conditions from the dataset are disclosed in the norm OIT 8401 (link in French).


Acknowledgments



	
Source: Géodonnées Etat de Vaud
	
With the support of the École Polytechnique Fédérale de Lausanne (EPFL)
DOI: 10.5281/zenodo.4311543
title: Lausanne agglomeration extent

description: Computation of the spatial extent of the agglomeration of Lausanne with the Urban footprinter, which implements the methods proposed in the Atlas of Urban Expansion. More precisely, in this repository, a pixel is considered part of the urban extent when at least 15% of the pixels that surround it (with a 500m radius) are of urban land use.


Use conditions


The obtained extent is based on the Official cadastral survey of the canton of Vaud whose exclusive owner is the canton of Vaud. In order to use this dataset, the source must be acknowledged as in:




Source: Géodonnées Etat de Vaud



The use conditions from the dataset are disclosed in the norm OIT 8401 (link in French).


Acknowledgments



	
Source: Géodonnées Etat de Vaud
	
With the support of the École Polytechnique Fédérale de Lausanne (EPFL)
DOI: 10.5281/zenodo.4311544
title: Lausanne agglomeration extent

description: Computation of the spatial extent of the agglomeration of Lausanne with the Urban footprinter, which implements the methods proposed in the Atlas of Urban Expansion. More precisely, in this repository, a pixel is considered part of the urban extent when at least 15% of the pixels that surround it (with a 500m radius) are of urban land use. <strong>Use conditions</strong> The obtained extent is based on the Official cadastral survey of the canton of Vaud whose exclusive owner is the canton of Vaud. In order to use this dataset, the source must be acknowledged as in: Source: Géodonnées Etat de Vaud The use conditions from the dataset are disclosed in the norm OIT 8401 (link in French). <strong>Acknowledgments</strong> <strong>Source</strong>: Géodonnées Etat de Vaud With the support of the École Polytechnique Fédérale de Lausanne (EPFL)
DOI: 10.5281/zenodo.15038752
title: Spatio-temporal behavior of the far-wake of a wind turbine model subjected to harmonic motions: Phase averaging applied to Stereo-PIV measurements - dataset

description: Dataset of the figures present in the article entitled: Spatio-temporal behavior of the far-wake of a wind turbine model subjected to harmonic motions: Phase averaging applied to Stereo-PIV measurements. DOI: 10.5194/wes-2024-95

 

figure2.csv presents the data for the figure 2 (columns: z, Uinf, Iu, Iv, Iw)

surge-0.11.pickle, heave-0.09.pickle, pitch-0.14.pickle, pitch-0.28.pickle present the data for the figures 9, 10, 11, 12. Their structure is: 



Uhub, the velocity at hub height

yz, the y and z coordinates

Uabl, the velocity field of the inflow

Pabl, the available power of the inflow

phase, the phase-averaged results, with:



Dt, the phases

motion, the coordinates of the motion (Tx, Tz, Ry)

Du, the velocity deficit field in FFoR

Du_m, the velocity deficit field in MFoR

wkc, the wake centre coordinates

Swk, the wake surface

P, the available power in FFoR

Pm, the available power in MFoR



var, the standard deviation of the phase-averaged results, with:



wkc

Swk

P

Pm




And fixed.pickle present the time-averaged data of the fixed case for the figures 9, 10, 11, 12, with:



Uhub, the velocity at hub height

yz, the y and z coordinates

Uabl, the velocity field of the inflow

Pabl, the available power of the inflow

wkc, the wake centre coordinates

Swk, the wake surface

P, the available power in FFoR

Pm, the available power in MFoR


 

More details are available in the article, Sect. 2.3.

See the website https://docs.python.org/3/library/pickle.html for details about the library pickle, and to load the files.
DOI: 10.5281/zenodo.15038753
title: Spatio-temporal behavior of the far-wake of a wind turbine model subjected to harmonic motions: Phase averaging applied to Stereo-PIV measurements - dataset

description: Dataset of the figures present in the article entitled: Spatio-temporal behavior of the far-wake of a wind turbine model subjected to harmonic motions: Phase averaging applied to Stereo-PIV measurements. DOI: 10.5194/wes-2024-95

 

figure2.csv presents the data for the figure 2 (columns: z, Uinf, Iu, Iv, Iw)

surge-0.11.pickle, heave-0.09.pickle, pitch-0.14.pickle, pitch-0.28.pickle present the data for the figures 9, 10, 11, 12. Their structure is: 



Uhub, the velocity at hub height

yz, the y and z coordinates

Uabl, the velocity field of the inflow

Pabl, the available power of the inflow

phase, the phase-averaged results, with:



Dt, the phases

motion, the coordinates of the motion (Tx, Tz, Ry)

Du, the velocity deficit field in FFoR

Du_m, the velocity deficit field in MFoR

wkc, the wake centre coordinates

Swk, the wake surface

P, the available power in FFoR

Pm, the available power in MFoR



var, the standard deviation of the phase-averaged results, with:



wkc

Swk

P

Pm




And fixed.pickle present the time-averaged data of the fixed case for the figures 9, 10, 11, 12, with:



Uhub, the velocity at hub height

yz, the y and z coordinates

Uabl, the velocity field of the inflow

Pabl, the available power of the inflow

wkc, the wake centre coordinates

Swk, the wake surface

P, the available power in FFoR

Pm, the available power in MFoR


 

More details are available in the article, Sect. 2.3.

See the website https://docs.python.org/3/library/pickle.html for details about the library pickle, and to load the files.
DOI: 10.15468/dl.hb69a2
title: Occurrence Download

description: A dataset containing 582171 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect Species Occurrence Data from Multiple Projects Worldwide with Focus on Bees and Wasps in North America"
 ]
}

 The dataset includes 582171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005616-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15102529
title: Variations in the charge radii of indium isotopes between N = 52 and 82

description: Dataset for the paper "Variations in the charge radii of indium isotopes between N = 52 and 82".

When publishing a paper using data from the CRIS Collaboration, please include the following text, preferably as a footnote to the title: “Based on data obtained with the Collinear Resonance Ionization Spectroscopy (CRIS) experiment (https://isolde-cris.web.cern.ch/) at the ISOLDE facility, CERN. CRIS is a laser spectroscopy experiment directly funded by the CRIS and ISOLDE Collaborations. The results generated by analysis of the data is the sole responsibility of the authors and their accuracy and completeness are not endorsed or guaranteed by the CRIS Collaboration.”
DOI: 10.5281/zenodo.15102530
title: Variations in the charge radii of indium isotopes between N = 52 and 82

description: Dataset for the paper "Variations in the charge radii of indium isotopes between N = 52 and 82".

When publishing a paper using data from the CRIS Collaboration, please include the following text, preferably as a footnote to the title: “Based on data obtained with the Collinear Resonance Ionization Spectroscopy (CRIS) experiment (https://isolde-cris.web.cern.ch/) at the ISOLDE facility, CERN. CRIS is a laser spectroscopy experiment directly funded by the CRIS and ISOLDE Collaborations. The results generated by analysis of the data is the sole responsibility of the authors and their accuracy and completeness are not endorsed or guaranteed by the CRIS Collaboration.”
DOI: 10.15468/dl.zxh34g
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euprymna berryi Sasaki, 1929"
 ]
}

 The dataset includes 252 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005617-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55buej
title: Occurrence Download

description: A dataset containing 9718654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9718654 records from 7672 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005615-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k43adg
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "Geometry POLYGON((79.82853 26.102,88.87954 26.102,88.87954 31.08518,79.82853 31.08518,79.82853 26.102))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera tigris (Linnaeus, 1758)"
 ]
}

 The dataset includes 269 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048206-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wus4q3
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Nesomys lambertoni G.Grandidier, 1928"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048207-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8zx7x
title: Occurrence Download

description: A dataset containing 733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Haloxylon ammodendron (C.A.Mey.) Bunge ex Fenzl"
 ]
}

 The dataset includes 733 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048208-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0004303
title: HDR3泛素化修饰GW6a调控水稻粒型的分子网络
DOI: 10.15468/dl.tu4f8t
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Nesomys rufus Peters, 1870"
 ]
}

 The dataset includes 377 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048209-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvy5m7
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cistanche deserticola Ma"
 ]
}

 The dataset includes 43 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048210-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3c6tq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Nycteris madagascariensis G.Grandidier, 1937"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048211-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4b9hn
title: Occurrence Download

description: A dataset containing 733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Haloxylon ammodendron (C.A.Mey.) Bunge ex Fenzl"
 ]
}

 The dataset includes 733 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048212-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ucevg
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Oryzorictes hova A.Grandidier, 1870"
 ]
}

 The dataset includes 162 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048213-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wptz34
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Oryzorictes tetradactylus Milne-Edwards & A.Grandidier, 1882"
 ]
}

 The dataset includes 291 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048215-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.