cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21258/1051252
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151302
DOI: 10.21258/1051253
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151297
DOI: 10.21258/1051243
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151310
DOI: 10.21258/1051244
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151308
DOI: 10.21258/1051245
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151306
DOI: 10.21258/1051246
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151305
DOI: 10.21258/1051247
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151307
DOI: 10.21258/1051239
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151313
DOI: 10.21258/1051240
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151311
DOI: 10.21258/1051241
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151309
DOI: 10.21258/1051242
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151312
DOI: 10.21258/1051232
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151319
DOI: 10.21258/1051233
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151320
DOI: 10.21258/1051234
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151317
DOI: 10.21258/1051235
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151316
DOI: 10.21258/1051236
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151315
DOI: 10.21258/1051237
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151314
DOI: 10.21258/1051238
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 151318
DOI: 10.21258/1051227
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 165948
DOI: 10.21258/1051228
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 165947
DOI: 10.21258/1051229
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 165944
DOI: 10.15468/dl.gh9pcr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus paracalensis Merr."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070163-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tg74s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis collettii Prain"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070164-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h32tv5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis lasiocarpa Gontsch."
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070165-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqm68a
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelargonium bowkeri Harv."
 ]
}

 The dataset includes 90 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070167-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fndy7t
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parasenecio hastiformis Y.L.Chen"
 ]
}

 The dataset includes 11 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070166-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw3x7m
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perotis humbertii A.Camus"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070168-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swa5ry
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus parou H.St.John"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070169-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ph25km
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis columigera T.Yamaz."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070170-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g89x6k
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is Canada",
 "TaxonKey is one of (Milium effusum var. cisatlanticum Fernald)"
 ]
}

 The dataset includes 102 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070171-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aa6adw
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis lasiopoda Bunge"
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070172-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fn4van
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelargonium brevipetalum N.E.Br."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070174-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dvd2v
title: Occurrence Download

description: A dataset containing 1543 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perotis indica (L.) Kuntze"
 ]
}

 The dataset includes 1543 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070175-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxqdu6
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parasenecio hayachinensis (Kitam.) Kadota"
 ]
}

 The dataset includes 44 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070173-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2epwp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus patelliformis Merr."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070176-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10573494
title: MalwareBench: Malware samples are not enough

description: The prevalent use of third-party components in modern software development, coupled with rapid modernization and digitization, has significantly amplified the risk of software supply chain security attacks. Popular large registries like npm and PyPI are highly targeted malware distribution channels for attackers due to their heavy growth and dependence on third-party components. Industry and academia are working towards building tools to detect malware in the software supply chain. However, a lack of benchmark datasets containing both malware and neutral packages hampers the evaluation of the performance of these malware detection tools. The goal of our study is to aid researchers and tool developers in evaluating and improving malware detection tools by contributing a benchmark dataset built by systematically collecting malicious and neutral packages from the npm and PyPI ecosystems. 

MalwareBench is a labeled dataset aimed at aiding researchers and tool developers in evaluating and improving malware detection tools. It comprises 20,792 packages (of which 6,659 are malicious) collected systematically from the npm and PyPI ecosystems. The dataset is constructed by amalgamating pre-existing malware datasets with Socket's internal benchmark data and incorporating both popular and newly released packages.

 

Description of the data and file structure

MalwareBench included malicious and neutral packages containing package names, versions, release types, and the ground truth of the package. We annotated the ground truth label of packages in two groups:



Malware: Packages that are written intentionally to carry out harmful actions and intended to perform an unauthorized process that will have an adverse impact on the confidentiality, integrity, or availability of a system.

Neutral: Packages with no discovered malware.


In addition, we included additional metadata for packages, including the file path, file size, total number of files, file size, package size, file extension, and package group.

Sharing/Access information

We added a sample of our CSV file here. However, a complete dataset is hosted on GitHub. Since our dataset contains malware from the real world, some packages may contain sensitive information. We will distribute the dataset upon reasonable request based on ethical considerations of the purpose for using the data. After evaluating the reason for using the dataset, we will provide GitHub access. Please send an email to the authors to access the dataset. 

The data was derived from the following sources:



Backstabber’s knife collection: A review of open source software supply chain attacks.

Towards measuring supply chain attacks on package managers for interpreted languages.

An Empirical Study of Malicious Code In PyPI Ecosystem.

Open-Source Dataset of Malicious Software Packages

Socket Internal benchmark Dataset
DOI: 10.15468/dl.cu9bm6
title: Occurrence Download

description: A dataset containing 8355 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis comosa L."
 ]
}

 The dataset includes 8355 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070177-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p66be
title: Occurrence Download

description: A dataset containing 6917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "TaxonKey is Tinamiformes"
 ]
}

 The dataset includes 6917 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070178-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.paubw6
title: Occurrence Download

description: A dataset containing 640644 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Esox lucius Linnaeus, 1758"
 ]
}

 The dataset includes 640644 records from 680 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070142-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hud92p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lysimachia lydgatei Hillebr.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101831-240626123714530/datasets/export for details.
DOI: 10.15468/dl.a24abv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba optima Pace, 1983",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101832-240626123714530/datasets/export for details.
DOI: 10.15468/dl.dqyfb9
title: Occurrence Download

description: A dataset containing 38493661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2016-2016"
 ]
}

 The dataset includes 38493661 records from 1188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101721-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7b4te
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassarius foveolatus (Dunker, 1847)",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101833-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwqs5e
title: Occurrence Download

description: A dataset containing 1310508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuculus canorus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1310508 records from 3172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101761-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1100769.09fu
title: SH1100769.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100770.09fu
title: SH1100770.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100771.09fu
title: SH1100771.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100772.09fu
title: SH1100772.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100773.09fu
title: SH1100773.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100774.09fu
title: SH1100774.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.