cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17254724
title: MD Simulation Data Upload – LC8/Ebola

description: Naming convention: {PDB ID}{bound state abbr.}{peptide length}_{LC8 species}{number of residues per monomer}_{MD simulation time}_md{replicate}_dt{time step between frames in ps}. For example, "7D35s8_dros89_1us_md1_dt200" is a single replicate (out of three) 178-residue LC8 homodimer singly bound to an 8-residue peptide for a 1µs trajectory strided at 200ps.

A single peptide unbinding event was observed in the 7D35s8_dros89_1us_md2_dt200 trajectory
DOI: 10.5281/zenodo.17226244
title: REBALANCE Business Regulatory Positions Database

description: The REBALANCE Business Regulatory Positions Database compiles the positions of companies and business associations on two regulatory policy domains – the EU’s Carbon Border Adjustment Mechanism (CBAM) and the EU Corporate Sustainability Due Diligence Directive (CSDDD). The databases measures these positions in relation to proposed CBAM proposals and what became the CSDDD, during multiple rounds of public consultations/feedback opportunities taking place in 2020-2022. The accompanying documents are the respective codebooks for each of the databases.
DOI: 10.5281/zenodo.17226243
title: REBALANCE Business Regulatory Positions Database

description: The REBALANCE Business Regulatory Positions Database compiles the positions of companies and business associations on two regulatory policy domains – the EU’s Carbon Border Adjustment Mechanism (CBAM) and the EU Corporate Sustainability Due Diligence Directive (CSDDD). The databases measures these positions in relation to proposed CBAM proposals and what became the CSDDD, during multiple rounds of public consultations/feedback opportunities taking place in 2020-2022. The accompanying documents are the respective codebooks for each of the databases.
DOI: 10.15468/dl.y8npc8
title: Occurrence Download

description: A dataset containing 857 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuon alpinus"
 ]
}

 The dataset includes 857 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054546-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyfm78
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnophiona)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 -60,-120 -60,-120 -30,-150 -30,-150 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054544-250920141307145/datasets/export for details.
DOI: 10.15468/dl.za67kg
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera ephemerantha"
 ]
}

 The dataset includes 445 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054547-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qaz38
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geastrum smardae",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054548-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjafba
title: Occurrence Download

description: A dataset containing 110766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Uta stansburiana"
 ]
}

 The dataset includes 110766 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054494-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvg9ew
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Tarenna multinervia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054550-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15125751
title: Research Data - The Moderating Role of Tax Avoidance in the Relationship Between Earnings Management and Firm Value

description: This dataset supports the research article titled "Earnings Management, Tax Avoidance, and Firm Value: Evidence from the Indonesian Capital Market."It contains panel data from non-financial companies listed on the Indonesia Stock Exchange (IDX) for the period 2010–2022. The variables included are:





Earnings Management, measured using discretionary accruals based on the Kothari et al. (2005) model




Tax Avoidance, proxied by effective tax rate (ETR) multiplied by –1, where higher values reflect more aggressive tax minimization




Firm Value, measured using Tobin’s Q




Control Variables: firm size (log of sales) and financial leverage (long-term debt to total assets)



The dataset is derived from audited financial statements accessed via Bloomberg Terminal and official IDX filings. The data has been cleaned and prepared for use in regression-based statistical analysis, including moderation models.

This dataset has not been used in any prior publications. If reused, please provide proper citation to the author and the DOI.
DOI: 10.5281/zenodo.15125750
title: Research Data - The Moderating Role of Tax Avoidance in the Relationship Between Earnings Management and Firm Value

description: This dataset supports the research article titled "Earnings Management, Tax Avoidance, and Firm Value: Evidence from the Indonesian Capital Market."It contains panel data from non-financial companies listed on the Indonesia Stock Exchange (IDX) for the period 2010–2022. The variables included are:





Earnings Management, measured using discretionary accruals based on the Kothari et al. (2005) model




Tax Avoidance, proxied by effective tax rate (ETR) multiplied by –1, where higher values reflect more aggressive tax minimization




Firm Value, measured using Tobin’s Q




Control Variables: firm size (log of sales) and financial leverage (long-term debt to total assets)



The dataset is derived from audited financial statements accessed via Bloomberg Terminal and official IDX filings. The data has been cleaned and prepared for use in regression-based statistical analysis, including moderation models.

This dataset has not been used in any prior publications. If reused, please provide proper citation to the author and the DOI.
DOI: 10.15468/dl.eevd44
title: Occurrence Download

description: A dataset containing 702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Suricata suricatta"
 ]
}

 The dataset includes 702 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054551-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/28997
title: Chandra X-ray Observatory ObsId 28997

description: Comprehensive Chandra, Gemini, JVLA and HST observations of a fast blue optical transient
DOI: 10.6084/m9.figshare.30119743.v2
title: SSMD Theory II: Proto-Sun Origin by raghav shukla

description: We extend the Shukla Solar Magneto-Disk Theory (SSMD-II) to provide a quantitative framework for the origin and distribution of angular momentum in the proto-Solar System. While the Classical Nebular Hypothesis (CNH) explains nebular collapse and disk formation, it does not address the mechanisms driving disk rotation.
In SSMD-II, convection within the proto-Sun generates plasma currents that produce seed magnetic fields. These fields dynamically couple with the ionized nebula, exert Lorentz torques, and spin up the disk on timescales shorter than classical viscous models. Seed-field amplification via the α–Ω dynamo is supported by analytical models and 3D MHD simulations.
Theoretical support for the role of magnetic fields is provided by NASA studies (Stepinski& Reyes-Ruiz 1993; DocID: 19940016318), which show that MHD dynamo-generated fields can significantly influence angular momentum and disk structure. Observations from ALMA, SDO/HMI, JWST, SKA, and Aditya-L1 are broadly consistent with SSMD-II predictions. Together, SSMD-II and CNH provide a complementary framework for understanding early Solar System formation.
<br>
DOI: 10.25574/28998
title: Chandra X-ray Observatory ObsId 28998

description: Comprehensive Chandra, Gemini, JVLA and HST observations of a fast blue optical transient
DOI: 10.25574/29000
title: Chandra X-ray Observatory ObsId 29000

description: INVESTIGATING THE CORRELATION BETWEEN LATE-TIME X-RAYS & RADIO EMISSION IN TDES
DOI: 10.5281/zenodo.17280526
title: Accessing Homoleptic Neutral and Anionic Five-coordinate Pr(IV) Siloxide Complexes

description: This upload contains raw data for P. Pandey et al., Chem. Sci, 2025, 10.1039/D5SC05500H.
DOI: 10.5281/zenodo.17280527
title: Accessing Homoleptic Neutral and Anionic Five-coordinate Pr(IV) Siloxide Complexes

description: This upload contains raw data for P. Pandey et al., Chem. Sci, 2025, 10.1039/D5SC05500H.
DOI: 10.26023/3yxh-s3az-xx0r
title: KOFSE: NCAR Electra Formaldehyde data. Version 1.0

description: This data set contains the formaldehyde data obtained from the NCAR Electra during the Kuwait Oil-Fire Smoke Experiment (KOFSE). Data were collected in May 1991. Files are in ASCII text format.
DOI: 10.15468/dl.zb2xaj
title: Occurrence Download

description: A dataset containing 3635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Leatherback Tracking in South Africa",
 "TaxonKey is Dermochelys"
 ]
}

 The dataset includes 3635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054552-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwesvx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 0,-150 0,-150 30,-180 30,-180 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054553-250920141307145/datasets/export for details.
DOI: 10.15468/dl.znjrtf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnophiona)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 -60,-90 -60,-90 -30,-120 -30,-120 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054554-250920141307145/datasets/export for details.
DOI: 10.15468/dl.vjt9et
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 30,180 30,180 60,150 60,150 30))"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054555-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxhp5h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnophiona)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 -60,-60 -60,-60 -30,-90 -30,-90 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054556-250920141307145/datasets/export for details.
DOI: 10.15468/dl.q3pak9
title: Occurrence Download

description: A dataset containing 65201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dodonaea viscosa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 65201 records from 537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054527-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.3544.0164
title: G. Daurelio - Power Point - Paper by Oral presentation at Ti 2003 - 10th WORLD CONFERENCE on TITANIUM - held in HAMBURG - Germany
DOI: 10.13140/rg.2.1.4264.9129
title: G. Daurelio - CENTRO INOX novembre 1997
DOI: 10.13140/rg.2.1.4789.2007
title: G. Daurelio - M2P - 1991- Teodorescu
DOI: 10.13140/rg.2.1.1381.3281
title: G. Daurelio - Cladding - Porto - Arcamone
DOI: 10.13140/rg.2.1.4002.7680
title: G. Daurelio - For Teaching - n. 23 - LUCIDI Sarajevo ( in English Language ) - Transparencies for the Paper Presentation at the Conference
DOI: 10.15468/dl.w62u8s
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrcia oleifolia"
 ]
}

 The dataset includes 101 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054558-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.3109.8402
title: G. Daurelio - Congresso ZACOPANE - PL
DOI: 10.15468/dl.e5ydr2
title: Occurrence Download

description: A dataset containing 11896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 30,150 30,150 60,120 60,120 30))"
 ]
}

 The dataset includes 11896 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054557-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0774954.10fu
title: SH0774954.10FU

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/sh0774955.10fu
title: SH0774955.10FU

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/sh0774956.10fu
title: SH0774956.10FU

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/sh0774957.10fu
title: SH0774957.10FU

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/sh0774958.10fu
title: SH0774958.10FU

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/sh0774959.10fu
title: SH0774959.10FU

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/sh0774960.10fu
title: SH0774960.10FU

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.