cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/7pouh2
title: Archeologisch Bureauonderzoek aanleg van elektriciteitsleidingen in Zeegse, gemeente Tynaarlo

description: BAM Infraconsult BV (“opdrachtgever”) heeft T&A Survey (“T&A”) op 01-07-24 schriftelijk
opdracht verleend voor het uitvoeren van een archeologisch bureauonderzoek. Het betreft
geplande werkzaamheden in het dorp Zeegse. Hier worden elektriciteitsleidingen
vervangen en nieuwe leidingen aangelegd. Er zijn nog geen exacte bouwplannen.
DOI: 10.15468/dl.skywrr
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Peltogyne excelsa"
 ]
}

 The dataset includes 44 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002637-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ym34zy
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hennediella antarctica"
 ]
}

 The dataset includes 290 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002639-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acfxcj
title: Occurrence Download

description: A dataset containing 28710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Leptoglossus occidentalis"
 ]
}

 The dataset includes 28710 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002638-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/o75mhn
title: Archeologisch Bureauonderzoek herinrichting centrum Zuidlaren, gemeente Tynaarlo

description: De gemeente Tynaarlo (“opdrachtgever”) heeft T&A Survey (“T&A”) op 21-06-2024
schriftelijk opdracht verleend voor het uitvoeren van een archeologisch bureauonderzoek.
Het betreft geplande werkzaamheden in het kader van het herinrichtingsplan in het
centrum van Zuidlaren.
DOI: 10.5281/zenodo.17452517
title: Dataset - Integrated Marketing Communication as a Digital Music Distribution Strategy: A Case Study of TuneCore Indonesia

description: This dataset contains the axial coding results derived from a qualitative case study titled “Integrated Marketing Communication as a Digital Music Distribution Strategy: A Case Study of TuneCore Indonesia.”

The axial coding process was conducted manually following Strauss and Corbin’s grounded theory approach (1998). It connects categories and subcategories derived from open coding, explaining causal conditions, central phenomena, contextual and intervening conditions, actions/interactions, and their consequences.

The analysis was based on anonymised interview transcripts with two key informants from TuneCore Indonesia, focusing on how Integrated Marketing Communication (IMC) strategies were implemented in digital music distribution.

This file does not contain any raw interview data, names, or identifiable information. All excerpts have been conceptually abstracted into categories for documentation purposes.

File content:





One table (in Bahasa Indonesia) showing axial coding relationships based on the Strauss & Corbin paradigm model.




Supplementary metadata note on research context and ethical anonymisation.



The dataset serves as an analytical transparency document for RTTO reporting and reimbursement purposes, rather than as a raw qualitative data deposit.
DOI: 10.5281/zenodo.17452518
title: Dataset - Integrated Marketing Communication as a Digital Music Distribution Strategy: A Case Study of TuneCore Indonesia

description: This dataset contains the axial coding results derived from a qualitative case study titled “Integrated Marketing Communication as a Digital Music Distribution Strategy: A Case Study of TuneCore Indonesia.”

The axial coding process was conducted manually following Strauss and Corbin’s grounded theory approach (1998). It connects categories and subcategories derived from open coding, explaining causal conditions, central phenomena, contextual and intervening conditions, actions/interactions, and their consequences.

The analysis was based on anonymised interview transcripts with two key informants from TuneCore Indonesia, focusing on how Integrated Marketing Communication (IMC) strategies were implemented in digital music distribution.

This file does not contain any raw interview data, names, or identifiable information. All excerpts have been conceptually abstracted into categories for documentation purposes.

File content:





One table (in Bahasa Indonesia) showing axial coding relationships based on the Strauss & Corbin paradigm model.




Supplementary metadata note on research context and ethical anonymisation.



The dataset serves as an analytical transparency document for RTTO reporting and reimbursement purposes, rather than as a raw qualitative data deposit.
DOI: 10.15468/dl.3ajxnw
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Peltogyne gracilipes"
 ]
}

 The dataset includes 372 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002643-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdqhuq
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mechanitis menapis occasiva"
 ]
}

 The dataset includes 68 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002642-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3t37u
title: Occurrence Download

description: A dataset containing 10991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Moringa oleifera"
 ]
}

 The dataset includes 10991 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002641-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87x7f3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mantis beieri"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002646-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adsnkk
title: Occurrence Download

description: A dataset containing 576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Malpolon monspessulanus monspessulanus"
 ]
}

 The dataset includes 576 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002645-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17455522
title: OpenData_Zakwan
DOI: 10.5281/zenodo.17455523
title: OpenData_Zakwan
DOI: 10.4121/2cdc29ea-eac0-4859-b878-7b6b870b3197
title: Data Underlying the Publication: From Flux to Capital: Distinguishing Patterns of Income and Wealth Segregation in the Netherlands

description: This dataset contains indicators of household-level income and wealth inequality and residential segregation in the Netherlands. This information is derived from restricted geo-coded register microdata provided by Statistics Netherlands and used in the analyses published in the referenced paper, where the methodology for calculating these data is included. It includes measures of income and wealth inequality at the household level for 2022, adjusted for the number of household members and distinguishing between financial wealth and real estate wealth; residential segregation of income and wealth, computed with adjustments both for household members and adults, and likewise distinguishing between financial and real estate wealth, for the 2011-2022 period and for different geographic scales of spatial computation of segregation; demographic data for 500 m × 500 m grid cells covering the entire Dutch territory for 2022; information on the income and wealth percentiles of households, disaggregated into financial and real estate wealth; and detailed wealth distribution data for the Netherlands, distinguishing between financial and real estate wealth, between households headed by individuals born in the Netherlands and those born abroad, and for all years of the population distribution, for the year 2022. Together, these indicators provide a comprehensive view of economic inequality and residential segregation in the Netherlands, capturing both levels (inequality and percentiles) and spatial patterns (segregation across multiple scales). This dataset also contains the R scripts used for the computation of the data and its visualization in the referenced paper.
DOI: 10.15468/dl.3n3vvh
title: Occurrence Download

description: A dataset containing 12443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ulmus parvifolia"
 ]
}

 The dataset includes 12443 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002647-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48331/scielodata.jgrtol/bdv3cm
title: Protective_orders_all_women.tab

description: Database on a sample of protective order cases from Minas Gerais' State Court (TJMG) involving women committing domestic violence against other women (2009-12/01/2022, only Belo Horizonte), providing sentencing patterns of enforcement and granting of protective orders related to the Maria da Penha Law.
DOI: 10.48331/scielodata.jgrtol/8phu79
title: README_all_women.txt

description: README file for the "Protective_orders_all_women.csv" database.
DOI: 10.48331/scielodata.jgrtol/zgheig
title: Translated interview protocol.pdf

description: Translated interview protocol used with twenty legal professionals (police chiefs, prosecutors, and judges) with some experience with enforcing the Maria da Penha Law in Belo Horizonte since its enactement. The interviews were conducted in Brazilian Portuguese.
DOI: 10.5281/zenodo.17455622
title: Pharmacologic reversal of advanced Alzheimer's disease in mice reveals potential therapeutic nodes in human brain
DOI: 10.48331/scielodata.jgrtol/0beam1
title: README_queer_women.txt

description: README file for the "Protective_orders_queer_women.csv" database.
DOI: 10.5281/zenodo.17455621
title: Pharmacologic reversal of advanced Alzheimer's disease in mice reveals potential therapeutic nodes in human brain
DOI: 10.48331/scielodata.jgrtol/nsnoy1
title: Protective orders_queer_women - cópia.txt
DOI: 10.48331/scielodata.jgrtol/t9bnli
title: Protective orders_queer_women.tab
DOI: 10.48331/scielodata.jgrtol
title: Replication Data for: "Maria da Penha Law and Judicial Resistance: heteroframing gender-based violence in Belo Horizonte, Brazil"

description: There are two datasets related to the article "Maria da Penha Law and Judicial Resistance: heteroframing gender-based violence in Belo Horizonte, Brazil":
a) data on a sample of protective order cases from Minas Gerais' State Court (TJMG) involving women committing domestic violence against other women (2009-12/01/2022, only Belo Horizonte), providing sentencing patterns of enforcement and granting of protective orders related to the Maria da Penha Law;
b) data on a sample of protective order cases from TJMG involving only queer women (bisexual, lesbian, and pansexual) (2009-12/01/2022, only Belo Horizonte), providing sentencing patterns of enforcement and granting of protective orders related to the Maria da Penha Law.

Furthermore, since this is a mixed-methods study, attached is the translated interview protocol used with twenty legal professionals (police chiefs, prosecutors, and judges) with some experience with enforcing the Maria da Penha Law in Belo Horizonte since its enactement.
DOI: 10.15468/dl.8tkq7x
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Talpa stankovici",
 "Year 2000-2025"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002648-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6zc2p
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Talpa romana",
 "Year 2000-2025"
 ]
}

 The dataset includes 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002651-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wv2jny
title: Occurrence Download

description: A dataset containing 853738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus europaeus",
 "Year 2000-2025"
 ]
}

 The dataset includes 853738 records from 2690 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002590-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1098979.10fu
title: SH1098979.10FU

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/sh1098980.10fu
title: SH1098980.10FU

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: 10.15468/dl.6gpfwv
title: Occurrence Download

description: A dataset containing 27299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Portuguese Moth Recording Scheme",
 "Year is 2024"
 ]
}

 The dataset includes 27299 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002529-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1098982.10fu
title: SH1098982.10FU

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/sh1098987.10fu
title: SH1098987.10FU

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/sh1098988.10fu
title: SH1098988.10FU

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/sh1098990.10fu
title: SH1098990.10FU

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/sh1098991.10fu
title: SH1098991.10FU

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.