cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.85mutj
title: Occurrence Download

description: A dataset containing 70036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Issue is one of (Zero coordinate, Coordinate out of range, Coordinate invalid, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names , Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ficus L."
 ]
}

 The dataset includes 70036 records from 609 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105510-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vju9vt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Bridgeoporus nobilissimus",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105512-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5jfd8t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Bridgeoporus nobilissimus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105513-240626123714530/datasets/export for details.
DOI: 10.15468/dl.3uqdje
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bridgeoporus nobilissimus (W.B.Cooke) T.J.Volk, Burds. & Ammirati",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105514-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13qpxbn
title: USGS NWHC Diagnostic Case Data to retrospectively evaluate NWHC’s diagnosis likelihoods for different kinds of cases collected in the United States submitted to the NWHC from January 1st, 2000 to December 31st, 202

description: Diagnostic case-level data recorded by the USGS National Wildlife Health Center (NWHC) in their Laboratory Information Management system (LIMs) and wildlife health information sharing partnership event reporting system (WHISPers). The LIMs database tracks carcass and tissue submissions to the NWHC laboratories, test results, and ultimate cause of death as determined through forensic pathology for individual animals or tissues. The WHISPers database tracks reported morbidity and mortality (m/m) events, defined as one or more animals found dead linked in time and space, around the United States, reported by NWHC partners. 9,488 diagnostic cases submitted between January 1st, 2000 and December 31st, 2021 are included in this dataset.
DOI: 10.15468/dl.45vppj
title: Occurrence Download

description: A dataset containing 1324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe, North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cebidae"
 ]
}

 The dataset includes 1324 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105515-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10295761
title: Oracles for the Equivalence of Java Bytecode

description: Incidents like log4shell and SolarWinds have led to an increased focus on software supply chain security. A particular concern is the detection and prevention of compromised builds. A common approach is to independently re-build projects, and compare the results. This leads to the availability of different binaries built from the same sources, and raises the question of how to compare the respective binaries (to confirm the integrity of builds, to detect compromised builds, etc). It is however not clear how to do this: naive bitwise comparison is often too strict, and establishing the behavioural equivalence of two binaries is undecidable.      A pragmatic step towards a solution is to provision a benchmark that can be used to test and train equivalence relations. We present such a benchmark for Java bytecode, consisting of \input{generated/total-oracle-record-count}pairs of binaries  (compiled Java classes) labelled as to whether these classes are equivalent or not. We refer to these pairs as equivalence and non-equivalence oracles, respectively.     We derive equivalence oracles from building 56 projects and project versions using 32 dockerised build environments (with different compilers, compiler versions and configurations). Non-equivalence oracles are derived from three different sources: (1) proven breaking API changes, (2) semantic code changes synthesised by means of bytecode mutations, and (3) code changes extracted from vulnerability patches.

 

A detailed description of the dataset can be found in: 

Jens Dietrich, Tim White, Mohammad Mahdi Abdollahpou, Elliott Wen and Behnaz Hassanshahi:   BenEq -- A Benchmark of Compiled Java Programs to Assess Alternative Builds. Proceedings of the ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses (SCORED '24).
DOI: 10.5281/zenodo.10295762
title: Oracles for the Equivalence of Java Bytecode

description: Novel approaches to improve software supply chain security hinge on the notion of binary equivalence. A naive notion based on bitwise equivalence is not suitable for this purpose, and a perfect solution is not possible due to the undecidability of functional equivalence. Pragmatic solutions rely on comprehensive datasets for the evaluation and/or training of classifiers. We present such a dataset for Java bytecode, consisting of several oracles for both equivalence and non-equivalence, extracted from software repositories and existing security databases. The dataset contains 277,727 pairs of equivalent (but different) and 169,651 pairs of non-equivalent (but similar) compiled classes extracted from real-world programs.
DOI: 10.5281/zenodo.13381845
title: Oracles for the Equivalence of Java Bytecode

description: Incidents like log4shell and SolarWinds have led to an increased focus on software supply chain security. A particular concern is the detection and prevention of compromised builds. A common approach is to independently re-build projects, and compare the results. This leads to the availability of different binaries built from the same sources, and raises the question of how to compare the respective binaries (to confirm the integrity of builds, to detect compromised builds, etc). It is however not clear how to do this: naive bitwise comparison is often too strict, and establishing the behavioural equivalence of two binaries is undecidable.      A pragmatic step towards a solution is to provision a benchmark that can be used to test and train equivalence relations. We present such a benchmark for Java bytecode, consisting of \input{generated/total-oracle-record-count}pairs of binaries  (compiled Java classes) labelled as to whether these classes are equivalent or not. We refer to these pairs as equivalence and non-equivalence oracles, respectively.     We derive equivalence oracles from building 56 projects and project versions using 32 dockerised build environments (with different compilers, compiler versions and configurations). Non-equivalence oracles are derived from three different sources: (1) proven breaking API changes, (2) semantic code changes synthesised by means of bytecode mutations, and (3) code changes extracted from vulnerability patches.

 

A detailed description of the dataset can be found in: 

Jens Dietrich, Tim White, Mohammad Mahdi Abdollahpou, Elliott Wen and Behnaz Hassanshahi:   BenEq -- A Benchmark of Compiled Java Programs to Assess Alternative Builds. Proceedings of the ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses (SCORED '24).
DOI: 10.15468/dl.awx7q5
title: Occurrence Download

description: A dataset containing 5735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arbutus xalapensis Kunth"
 ]
}

 The dataset includes 5735 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105517-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5bk17182
title: MassIVE MSV000095709 - Identification of quantification of mediterrocin, a bacteriocin produced by Mediterraneibacter gnavus
title: Mediterraneibacter gnavus, a core member of the human gut microbiota, secretes mediterrocin, a broad-spectrum bacteriocin. Identification and quantification of mediterrocin produced by Mediterraneibacter [Ruminococcus] gnavus strains RJX1121, RJX1123, and ATCC29149 using intact protein analysis.
DOI: 10.15468/dl.t5nksb
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.28_2",
 "TaxonKey is Atelopus Duméril & Bibron, 1841"
 ]
}

 The dataset includes 103 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105518-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9k3xren
title: Database for the Geologic Map of the Katmai Volcanic Cluster, Katmai National Park, Alaska

description: A database of the geologic map of the Katmai Volcanic Cluster as described in the original abstract: This digital publication contains all the geologic map information used to publish U.S. Geological Survey Geologic Investigations Map Series I-2778 (Hildreth and Fierstein, 2003). This is a geologic map of the Katmai volcanic cluster on the Alaska Peninsula (including Mount Katmai, Trident Volcano, Mount Mageik, Mount Martin, Mount Griggs, Snowy Mountain, Alagogshak volcano, and Novarupta volcano), and shows the distribution of ejecta from the great eruption of June, 1912 at Novarupta. Widely scattered erosional remnants of volcanic rocks, unrelated to but in the vicinity of the Katmai cluster, are also mapped. Distribution of glacial deposits, large landslides, debris avalanches, and surficial deposits are a snapshot of an ever-changing landscape.
DOI: 10.15468/dl.qutg8a
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terrapene yucatana (Boulenger, 1895)"
 ]
}

 The dataset includes 125 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105519-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pugdc
title: Occurrence Download

description: A dataset containing 1333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.48_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salmonidae",
 "Year 2007-2024"
 ]
}

 The dataset includes 1333 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105520-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm6qj8
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bridgeoporus nobilissimus (W.B.Cooke) T.J.Volk, Burds. & Ammirati",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105521-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1yk827d
title: High resolution natural color imagery collected by uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 2-mile reach of the Middle Green River at Grays Canyon near Green River, Utah from 2021-2023

description: The U.S. Geological Survey collected low-altitude airborne natural color imagery via a fixed-wing uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 2-mile reach of the Middle Green River at Grays Canyon near Green River, UT. Visual imagery was collected in jpg format and Structure-from-Motion (SfM) photogrammetry techniques were applied (Over et. al. 2021) using Agisoft Metashape Professional (v. 2.1.2 build 18358) to derive time-specific high-resolution 5 centimeter natural color orthomosaics of the study reach annually from 2021 to 2023. Ground control points (2ft x 2ft ground targets) were also surveyed in the field using Trimble RTK GPS survey units and were used in georectification in the SfM process.
DOI: 10.15468/dl.cpxzun
title: Occurrence Download

description: A dataset containing 22179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84)",
 "TaxonKey is Opuntia Mill."
 ]
}

 The dataset includes 22179 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105522-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/4esc-3637
title: East Isa Hydrogeochemistry

description: This study provides a provisional review of the mineral prospectivity of the eastern Mt Isa Block using groundwater
geochemistry, defining new areas of interest requiring further investigation.
DOI: 10.15468/dl.xf8b7k
title: Occurrence Download

description: A dataset containing 35491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sphagnum squarrosum Crome"
 ]
}

 The dataset includes 35491 records from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105523-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1153445.09fu
title: SH1153445.09FU

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/sh1153446.09fu
title: SH1153446.09FU

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/sh1153447.09fu
title: SH1153447.09FU

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/sh1153448.09fu
title: SH1153448.09FU

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/sh1153449.09fu
title: SH1153449.09FU

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/sh1153450.09fu
title: SH1153450.09FU

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.