cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vq45cp
title: Occurrence Download

description: A dataset containing 7656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachytarpheta jamaicensis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 7656 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007173-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18603764
title: phyllodesmium_koehleri_spades_02.fasta.gz
DOI: 10.5281/zenodo.18603763
title: phyllodesmium_koehleri_spades_02.fasta.gz
DOI: 10.15468/dl.sb52x2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtanthus spiralis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007174-260208012135463/datasets/export for details.
DOI: 10.15468/dl.nwaw5a
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyphocharax stilbolepis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007176-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36hmbw
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex lobativalvis"
 ]
}

 The dataset includes 158 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007177-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvnyed
title: Occurrence Download

description: A dataset containing 10269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talinum paniculatum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 10269 records from 364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007178-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18603778
title: oxyrhopus_petolarius_spades_02.fasta.gz
DOI: 10.5281/zenodo.18603779
title: oxyrhopus_petolarius_spades_02.fasta.gz
DOI: 10.15468/dl.k8fk5n
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucrosia mirabilis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007179-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va2gfu
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyphocharax vexillapinnus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 21 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007180-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mck9en
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hygrophila corymbosa",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008632-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tazdgx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003507-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9rtts
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is New Zealand Freshwater Fish Database",
 "Geometry POLYGON((175.25847 -37.86551,175.15755 -37.86471,175.15835 -37.89595,175.25366 -37.90816,175.25847 -37.86551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 60 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289908-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rtd8k
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nepeta agrestis Loisel."
 ]
}

 The dataset's 2 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071740-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6kvvm
title: Occurrence Download

description: A dataset listing the 233695 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 233695 records were derived from 15619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190750-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4gdpgvhknz.1
title: JITED_Vietnam fruit export

description: This is the excel file containing all collected data for the research paper: Economic Integration and Infrastructure in Vietnam’s Fruit Exports: Evidence from a Gravity Model
DOI: 10.15468/dl.5myxjr
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((69.44609 38.2197,107.8475 38.2197,107.8475 56.88083,69.44609 56.88083,69.44609 38.2197))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saiga tatarica (Linnaeus, 1766)",
 "Year 1980-2025"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004151-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e5dbs
title: Occurrence Download

description: A dataset containing 54634 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emys orbicularis (Linnaeus, 1758)"
 ]
}

 The dataset includes 54634 records from 855 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004150-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zu2pme
title: Occurrence Download

description: A dataset containing 1517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phyllodactylus tuberculosus"
 ]
}

 The dataset includes 1517 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000917-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14652120
title: January - April 2024 Ionian islands Swarm-like excitation relocated earthquake catalog

description: 1. Introduction

This dataset comprises the relocated earthquake catalog of 7420 earthquakes for the period 2024-01-01 to 2024-04-30 for the Myrtos gulf area north of Kefalonia island, where a swarm-like excitation took place, intensifying during the February - April 2024 period.

Phase picking was performed using the Phasenet (Zhu and Beroza, 2019) deep-learning picker and picks were associated using the REAL associator (Zhang et al., 2019). The events were initially located using HYPOINVERSE (Klein, 2002) and relocated using catalog differential times using HypoDD (Waldhauser and Ellsworth, 2000). The seismic velocity model used for the location and relocation procedures is taken from Haslinger et al. (1999). Magnitudes were estimated by applying the relation proposed by Scordilis et al. (2016).

 

2. Files

 

2.1 Relocated catalog (catalog_ionio24_swarm.csv, catalog_ionio24_swarm.xlsx and catalog_ionio24_swarm.xml)

The dataset consists of the relocated catalog, provided in three different formats (.csv, .xlsx, QuakeML). Arrivals and picks are included within the QuakeML catalog. Field descriptions in the .csv and .xlsx files are as follows: 

·         event_id: Sequential event ID number

·         latitude: Latitude of relocated epicenter

·         longitude: Longitude of relocated epicenter

·         depth: Depth of relocated earthquake

·         year, month, day, hour, minute, seconds: Temporal origin parameters

·         magnitude: Earthquake magnitude

·         magnitude_type: Earthquake magnitude type

·         RMS: RMS of the travel time residuals of the arrivals used for the origin computation.

·         ErrH: Horizontal error

·         ErrZ: Depth error

·         P_count: Number of defining P phases, i.e., phase observations that were actually used for computing the origin.

·         S_count: Number of defining P phases, i.e., phase observations that were actually used for computing the origin.

·         Phases_total: Total number of defining phases

The QuakeML catalog follows the modular XML seismological standard schema, extensively described in the QuakeML manuals.

2.2 Phase file (catalog_ionio24_swarm_phases.txt)

Standalone phase file used for compiling the relocated catalog in HypoDD format, containing absolute travel time data information for P and S arrivals. File format is described in the HypoDD user guide.

 

2.3 Stationxml files (Stationxml.tar)

Stationxml files used for the preprocessing procedure before phase picking, for the study period.
DOI: 10.5281/zenodo.17304742
title: January - April 2024 Ionian islands Swarm-like excitation relocated earthquake catalog

description: 1. Introduction

This dataset comprises the relocated earthquake catalog of 7420 earthquakes for the period 2024-01-01 to 2024-04-30 for the Myrtos gulf area north of Kefalonia island, where a swarm-like excitation took place, intensifying during the February - April 2024 period.

Phase picking was performed using the Phasenet (Zhu and Beroza, 2019) deep-learning picker and picks were associated using the REAL associator (Zhang et al., 2019). The events were initially located using HYPOINVERSE (Klein, 2002) and relocated using catalog differential times using HypoDD (Waldhauser and Ellsworth, 2000). The seismic velocity model used for the location and relocation procedures is taken from Haslinger et al. (1999). Magnitudes were estimated by applying the relation proposed by Scordilis et al. (2016).

 

2. Files

 

2.1 Relocated catalog (catalog_ionio24_swarm.csv, catalog_ionio24_swarm.xlsx and catalog_ionio24_swarm.xml)

The dataset consists of the relocated catalog, provided in three different formats (.csv, .xlsx, QuakeML). Arrivals and picks are included within the QuakeML catalog. Field descriptions in the .csv and .xlsx files are as follows: 

·         event_id: Sequential event ID number

·         latitude: Latitude of relocated epicenter

·         longitude: Longitude of relocated epicenter

·         depth: Depth of relocated earthquake

·         year, month, day, hour, minute, seconds: Temporal origin parameters

·         magnitude: Earthquake magnitude

·         magnitude_type: Earthquake magnitude type

·         RMS: RMS of the travel time residuals of the arrivals used for the origin computation.

·         ErrH: Horizontal error

·         ErrZ: Depth error

·         P_count: Number of defining P phases, i.e., phase observations that were actually used for computing the origin.

·         S_count: Number of defining P phases, i.e., phase observations that were actually used for computing the origin.

·         Phases_total: Total number of defining phases

The QuakeML catalog follows the modular XML seismological standard schema, extensively described in the QuakeML manuals.

2.2 Phase file (catalog_ionio24_swarm_phases.txt)

Standalone phase file used for compiling the relocated catalog in HypoDD format, containing absolute travel time data information for P and S arrivals. File format is described in the HypoDD user guide.

 

2.3 Stationxml files (Stationxml.tar)

Stationxml files used for the preprocessing procedure before phase picking, for the study period.
DOI: 10.15156/bio/sh0171701.10fu
title: SH0171701.10FU

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: 10.5281/zenodo.18198307
title: EFFECTIVENESS OF LAWS IN PROTECTING CHILD RIGHTS AGAINST PORNOGRAPHIC EXPLOITATION IN INDIA

description: ABSTRACT:

This research paper examines the effectiveness of Indian laws in protecting child rights against pornographic exploitation addressing both the achievements and challenges facing the country today. With children constituting over 40% of India's population safeguarding them from abuseespecially in the rapidly growing digital environmentis a critical priority. India has built a robust legal framework including constitutional provisions, the Protection of Children from Sexual Offences (POCSO) Act, the Information Technology Act and supportive roles from bodies like the National and State Commissions for Protection of Child Rights. The study explores definitions of key terms such as "child pornography" and "child sexual abuse material (CSAM)," and identifies various forms of exploitation: online, offline, commercial and non-commercial.Drawing on recent data from the National Crime Records Bureau and other Indian reports, the research highlights alarming trendssuch as a 400% rise in cyber-related child pornography cases in the past decade and over 64,000 cases of child sexual abuse reported in 2022 alone. The devastating psychological, social, and physical impacts on victims are discussed, along with the support gaps that often worsen the trauma. The effectiveness of legal measures is assessed by analyzing the strengths of statutes, the adaptability of India to international agreements like the UNCRC and landmark judicial interpretations, but the study finds significant limitations.
DOI: 10.5281/zenodo.18198308
title: EFFECTIVENESS OF LAWS IN PROTECTING CHILD RIGHTS AGAINST PORNOGRAPHIC EXPLOITATION IN INDIA

description: ABSTRACT:

This research paper examines the effectiveness of Indian laws in protecting child rights against pornographic exploitation addressing both the achievements and challenges facing the country today. With children constituting over 40% of India's population safeguarding them from abuseespecially in the rapidly growing digital environmentis a critical priority. India has built a robust legal framework including constitutional provisions, the Protection of Children from Sexual Offences (POCSO) Act, the Information Technology Act and supportive roles from bodies like the National and State Commissions for Protection of Child Rights. The study explores definitions of key terms such as "child pornography" and "child sexual abuse material (CSAM)," and identifies various forms of exploitation: online, offline, commercial and non-commercial.Drawing on recent data from the National Crime Records Bureau and other Indian reports, the research highlights alarming trendssuch as a 400% rise in cyber-related child pornography cases in the past decade and over 64,000 cases of child sexual abuse reported in 2022 alone. The devastating psychological, social, and physical impacts on victims are discussed, along with the support gaps that often worsen the trauma. The effectiveness of legal measures is assessed by analyzing the strengths of statutes, the adaptability of India to international agreements like the UNCRC and landmark judicial interpretations, but the study finds significant limitations.
DOI: 10.15156/bio/sh0171702.10fu
title: SH0171702.10FU

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/sh0171703.10fu
title: SH0171703.10FU

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/sh0171704.10fu
title: SH0171704.10FU

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/sh0171705.10fu
title: SH0171705.10FU

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.