cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rzw8fh
title: Occurrence Download

description: A dataset containing 129930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aptenodytes forsteri G.R.Gray, 1844",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 129930 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000419-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9m5w4k
title: Occurrence Download

description: A dataset containing 1583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.52189265343068 48.384806939786934, 16.6268053494922 48.378562100753456, 16.635676561886413 48.44565931593244, 16.530625320566088 48.45191376823647, 16.52189265343068 48.384806939786934))"
 ]
}

 The dataset includes 1583 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000430-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8d4ec
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynops chenggongensis Kou & Xing, 1983"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000432-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze54au
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cercidiphyllum japonicum Siebold & Zucc."
 ]
}

 The dataset includes 181 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000434-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/fkf0bi
title: How did investigations into spontaneous human combustion influence alcohol medicine? An examination of the medical and literary discussions that brought the two together (dataset collection)

description: Background and AimsThe presence of sections or chapters on spontaneous human combustion in more than half of the key texts in English on the action of alcohol on the body and mind in the first half of the nineteenth century demonstrates the seriousness with which it was considered. We aimed to chart discussions about the links between spontaneous human combustion and spirit drinking in medical texts and representations in fiction through three key chronological periods from 1804 to 1900.MethodsA contextual analysis using eighteenth- and nineteenth-century historical, literary and medical sources to chart and reflect on public and medical discourses.Findings and ConclusionsThe development of new theories about the action of alcohol on the body and mind appears to have been influenced by the now-discredited eighteenth- and nineteenth-century idea that the phenomenon of human combustion, spontaneous or not, was linked to spirit drinking. As an extreme example of the consequences of heavy drinking, spontaneous human combustion was used to underpin early theories on the clinical chemistry of alcohol.
DOI: 10.15468/dl.24f48q
title: Occurrence Download

description: A dataset containing 18426 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de fauna, flora y líquenes en Área de Perforación Exploratoria Bienparado, municipio de Puerto de Asís, Putumayo"
 ]
}

 The dataset includes 18426 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000435-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/mckq-mfpn
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/343d-tmd8
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/3b3u-72j3
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/4fbc-cxrc
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/h952-e7y4
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/mwq4-33v3
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/pwhz-6454
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/pyxa-ct4v
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/rk8d-w5ne
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/ub9p-qp5k
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/unnv-fe6h
title: Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/y2r7-rca4
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.48597/z2fn-6nfn
title: Measurement of Inorganics in precipitation at Hurdal

description: Measurement of Inorganics in precipitation at Hurdal
DOI: 10.25592/uhhfdm.17144
title: Udmurt dialectal dataset (mixed questionnaire responses)

description: This is a dataset that contains sentences in various dialects of Udmurt (Permic &lt; Uralic; ISO 639-3 code udm). It mainly contains questionnaire responses collected for various purposes.

This data was collected in 2023-2024 by Timofey Arkhangelskiy in the Estonian Udmurt community (Tallinn and Tartu). Several sentences were taken from transcripts of dialectal texts or produced by consultants without any prompt. Data collection and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.

Before proceeding to the dataset, please keep in mind:


 Although I provide the questionnaire stimuli, the responses do not always contain their exact translations. Sometimes consultants forgot what exactly they were supposed to translate, added something to their translation, or translated only a part of the stimulus. It was not my goal for the translations to be close to the original. Therefore the stimulus and the response should not be treated as translation pairs.
 The speakers were instructed to make translations in their own dialect rather than in the standard language. My transcriptions of their oral responses reflect all dialectal features and deviate from the standard language (sometimes significantly).


As a consequence:


 You will only be able to use this dataset for your research if you have a good command of Udmurt. In any case, you should not rely on the Russian stimuli alone.
 DO <strong>NOT </strong>USE THIS DATASET FOR TRAINING MACHINE TRANSLATION OR UDMURT LANGUAGE MODELS!


The dataset has a TSV format (tab-delimited values). Please refer to readme.txt for further information.

If you have any questions or require help with processing the data, please feel free to contact Timofey Arkhangelskiy: timarkh@gmail.com.
description: Data collection and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.
DOI: 10.25592/uhhfdm.17142
title: Udmurt dialectal dataset: discourse particles and other clitics

description: This is a dataset that contains sentences in various dialects of Udmurt (Permic &lt; Uralic; ISO 639-3 code udm). It mainly contains questionnaire responses collected for the research of the variation in the mutual order of Udmurt clitics in clitic clusters, annotated for clitic order.

This data was collected in 2021-2023 by Timofey Arkhangelskiy. Most responses were collected in the Estonian Udmurt community (Tallinn and Tartu) in 2022. Some were collected in Tatarstan and Bashkortostan (Russia) in 2021 or in Estonia in 2023. Several sentences were taken from transcripts of dialectal texts or produced by consultants without any prompt. Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.

Before proceeding to the dataset, please keep in mind:


 Although I provide the questionnaire stimuli, the responses do not always contain their exact translations. Sometimes consultants forgot what exactly they were supposed to translate, added something to their translation, or translated only a part of the stimulus. It was not my goal for the translations to be close to the original. Therefore the stimulus and the response should not be treated as translation pairs.
 The speakers were instructed to make translations in their own dialect rather than in the standard language. My transcriptions of their oral responses reflect all dialectal features and deviate from the standard language (sometimes significantly).


As a consequence:


 If you want to use this dataset for its original purpose, you can just take the annotation and do not look at the actual examples. If you need it for anything beyond that purpose, you will only be able to do so if you have a reasonable command of Udmurt. There are English translations of the stimuli, but you should not rely on them alone.
 DO <strong>NOT </strong>USE THIS DATASET FOR TRAINING MACHINE TRANSLATION OR UDMURT LANGUAGE MODELS!


The dataset has a TSV format (tab-delimited values). Please refer to readme.txt for further information.

If you have any questions or require help with processing the data, please feel free to contact Timofey Arkhangelskiy: timarkh@gmail.com.
description: Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.
DOI: 10.25592/uhhfdm.17143
title: Udmurt dialectal dataset (mixed questionnaire responses)

description: This is a dataset that contains sentences in various dialects of Udmurt (Permic &lt; Uralic; ISO 639-3 code udm). It mainly contains questionnaire responses collected for various purposes.

This data was collected in 2023-2024 by Timofey Arkhangelskiy in the Estonian Udmurt community (Tallinn and Tartu). Several sentences were taken from transcripts of dialectal texts or produced by consultants without any prompt. Data collection and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.

Before proceeding to the dataset, please keep in mind:


 Although I provide the questionnaire stimuli, the responses do not always contain their exact translations. Sometimes consultants forgot what exactly they were supposed to translate, added something to their translation, or translated only a part of the stimulus. It was not my goal for the translations to be close to the original. Therefore the stimulus and the response should not be treated as translation pairs.
 The speakers were instructed to make translations in their own dialect rather than in the standard language. My transcriptions of their oral responses reflect all dialectal features and deviate from the standard language (sometimes significantly).


As a consequence:


 You will only be able to use this dataset for your research if you have a good command of Udmurt. In any case, you should not rely on the Russian stimuli alone.
 DO <strong>NOT </strong>USE THIS DATASET FOR TRAINING MACHINE TRANSLATION OR UDMURT LANGUAGE MODELS!


The dataset has a TSV format (tab-delimited values). Please refer to readme.txt for further information.

If you have any questions or require help with processing the data, please feel free to contact Timofey Arkhangelskiy: timarkh@gmail.com.
description: Data collection and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.
DOI: 10.25592/uhhfdm.17141
title: Udmurt dialectal dataset: discourse particles and other clitics

description: This is a dataset that contains sentences in various dialects of Udmurt (Permic &lt; Uralic; ISO 639-3 code udm). It mainly contains questionnaire responses collected for the research of the variation in the mutual order of Udmurt clitics in clitic clusters, annotated for clitic order.

This data was collected in 2021-2023 by Timofey Arkhangelskiy. Most responses were collected in the Estonian Udmurt community (Tallinn and Tartu) in 2022. Some were collected in Tatarstan and Bashkortostan (Russia) in 2021 or in Estonia in 2023. Several sentences were taken from transcripts of dialectal texts or produced by consultants without any prompt. Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.

Before proceeding to the dataset, please keep in mind:


 Although I provide the questionnaire stimuli, the responses do not always contain their exact translations. Sometimes consultants forgot what exactly they were supposed to translate, added something to their translation, or translated only a part of the stimulus. It was not my goal for the translations to be close to the original. Therefore the stimulus and the response should not be treated as translation pairs.
 The speakers were instructed to make translations in their own dialect rather than in the standard language. My transcriptions of their oral responses reflect all dialectal features and deviate from the standard language (sometimes significantly).


As a consequence:


 If you want to use this dataset for its original purpose, you can just take the annotation and do not look at the actual examples. If you need it for anything beyond that purpose, you will only be able to do so if you have a reasonable command of Udmurt. There are English translations of the stimuli, but you should not rely on them alone.
 DO <strong>NOT </strong>USE THIS DATASET FOR TRAINING MACHINE TRANSLATION OR UDMURT LANGUAGE MODELS!


The dataset has a TSV format (tab-delimited values). Please refer to readme.txt for further information.

If you have any questions or require help with processing the data, please feel free to contact Timofey Arkhangelskiy: timarkh@gmail.com.
description: Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.
DOI: 10.25592/uhhfdm.17136
title: Udmurt dialectal dataset: postpositions / relational nouns

description: This is a dataset that contains sentences in various dialects of Udmurt / Beserman (Permic &lt; Uralic; ISO 639-3 code udm). It mainly contains questionnaire responses collected for the research of the morphosyntax of Udmurt relational nouns and postpositions, annotated for several parameters.

This data was collected in 2019-2024 by Timofey Arkhangelskiy. Part of the data was collected in Udmurtia, Tatarstan and Bashkortostan (Russia); another part was collected in the Estonian Udmurt community (Tallinn and Tartu). Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.

Before proceeding to the dataset, please keep in mind that:


 Although I provide the questionnaire stimuli, the responses do not always contain their exact translations. Sometimes consultants forgot what exactly they were supposed to translate, added something to their translation, or translated only a part of the stimulus. It was not my goal for the translations to be close to the original. Therefore the stimulus and the response should not be treated as translation pairs.
 The speakers were instructed to make translations in their own dialect rather than in the standard language. My transcriptions of their oral responses reflect all dialectal features and deviate from the standard language (sometimes significantly).


As a consequence:


 If you want to use this dataset for its original purpose, you can just take the annotation and do not look at the actual examples. If you need it for anything beyond that purpose, you will only be able to do so if you have a good command of Udmurt. There are English translations of the stimuli, but they won't help you much.
 DO <strong>NOT </strong>USE THIS DATASET FOR TRAINING MACHINE TRANSLATION OR UDMURT LANGUAGE MODELS!


The dataset has a TSV format (tab-delimited values). Please refer to readme.txt for further information.

If you have any questions or require help with processing the data, please feel free to contact Timofey Arkhangelskiy: timarkh@gmail.com.
description: Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.
DOI: 10.25592/uhhfdm.17135
title: Udmurt dialectal dataset: postpositions / relational nouns

description: This is a dataset that contains sentences in various dialects of Udmurt / Beserman (Permic &lt; Uralic; ISO 639-3 code udm). It mainly contains questionnaire responses collected for the research of the morphosyntax of Udmurt relational nouns and postpositions, annotated for several parameters.

This data was collected in 2019-2024 by Timofey Arkhangelskiy. Part of the data was collected in Udmurtia, Tatarstan and Bashkortostan (Russia); another part was collected in the Estonian Udmurt community (Tallinn and Tartu). Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.

Before proceeding to the dataset, please keep in mind that:


 Although I provide the questionnaire stimuli, the responses do not always contain their exact translations. Sometimes consultants forgot what exactly they were supposed to translate, added something to their translation, or translated only a part of the stimulus. It was not my goal for the translations to be close to the original. Therefore the stimulus and the response should not be treated as translation pairs.
 The speakers were instructed to make translations in their own dialect rather than in the standard language. My transcriptions of their oral responses reflect all dialectal features and deviate from the standard language (sometimes significantly).


As a consequence:


 If you want to use this dataset for its original purpose, you can just take the annotation and do not look at the actual examples. If you need it for anything beyond that purpose, you will only be able to do so if you have a good command of Udmurt. There are English translations of the stimuli, but they won't help you much.
 DO <strong>NOT </strong>USE THIS DATASET FOR TRAINING MACHINE TRANSLATION OR UDMURT LANGUAGE MODELS!


The dataset has a TSV format (tab-delimited values). Please refer to readme.txt for further information.

If you have any questions or require help with processing the data, please feel free to contact Timofey Arkhangelskiy: timarkh@gmail.com.
description: Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.
DOI: 10.25592/uhhfdm.17130
title: Paradoxical tensions affecting technology implementation: Understanding the low adoption rate of blockchains in supply chains

description: Dieses Projekt enthält 27 semi-strukturierten Interviews, die von meinen Ko-Autoren und mir im Rahmen eines zweistufigen, qualitativen Forschungsdesigns wurden durchgeführt. 

Der erste Datensatz (1st round, 15 Interviews) wurde von März bis April 2022 erhoben. Der zweite Datensatz (2nd round, 12 Interviews) wurde zwischen März und April 2024 erhoben.
DOI: 10.25592/uhhfdm.17129
title: Paradoxical tensions affecting technology implementation: Understanding the low adoption rate of blockchains in supply chains

description: Dieses Projekt enthält 27 semi-strukturierten Interviews, die von meinen Ko-Autoren und mir im Rahmen eines zweistufigen, qualitativen Forschungsdesigns wurden durchgeführt. 

Der erste Datensatz (1st round, 15 Interviews) wurde von März bis April 2022 erhoben. Der zweite Datensatz (2nd round, 12 Interviews) wurde zwischen März und April 2024 erhoben.
DOI: 10.25592/uhhfdm.17128
title: What does the future hold for human rights in conflict-affected areas? A Delphi study on MNEs' strategies

description: Das Projekt umfasst <strong>zwei Primärdatensätze</strong>. Dabei handelt es sich um

1) acht Experteninterviews, die im Zeitraum von Dezember 2022 bis April 2023 von meinen Ko-Autoren und mir online durchgeführt wurden (Datensatz 1).

und

2) einem Datensatz, der sowohl quantitative, als auch qualitative Daten enthält, die im Rahmen einer Echtzeit Delphi-Studie über die Onlineplattform eDelphi erhoben wurden (Datensatz 2). Die Datenerhebung fand im Zeitraum von März bis Juli 2023 statt.
DOI: 10.25592/uhhfdm.17127
title: What does the future hold for human rights in conflict-affected areas? A Delphi study on MNEs' strategies

description: Das Projekt umfasst <strong>zwei Primärdatensätze</strong>. Dabei handelt es sich um

1) acht Experteninterviews, die im Zeitraum von Dezember 2022 bis April 2023 von meinen Ko-Autoren und mir online durchgeführt wurden (Datensatz 1).

und

2) einem Datensatz, der sowohl quantitative, als auch qualitative Daten enthält, die im Rahmen einer Echtzeit Delphi-Studie über die Onlineplattform eDelphi erhoben wurden (Datensatz 2). Die Datenerhebung fand im Zeitraum von März bis Juli 2023 statt.
DOI: 10.25592/uhhfdm.17124
title: How Assessment and Cooperation Practices Influence Suppliers' Adoption of Sustainable Supply Chain Practices: An Inter-Organizational Learning Perspective

description: Data collection via limesurvey (online survey) between December 2021 and March 2022

Sample: B2B companies in Germany, particularly from the mechanical and plant engineering (machinery), the chemical, and the electrical industries
DOI: 10.25592/uhhfdm.17123
title: How Assessment and Cooperation Practices Influence Suppliers' Adoption of Sustainable Supply Chain Practices: An Inter-Organizational Learning Perspective

description: Data collection via limesurvey (online survey) between December 2021 and March 2022

Sample: B2B companies in Germany, particularly from the mechanical and plant engineering (machinery), the chemical, and the electrical industries
DOI: 10.14284/726
title: From non-tidal to tidal environments: movement behaviour of Chinese mitten crabs on downstream spawning migration

description: The invasive Chinese mitten crab is a freshwater species, however, for its reproduction it is dependent on salt water. Therefore, adult Chinese mitten crabs migrate during autumn from their freshwater habitat towards the sea via the River Scheldt. Through acoustic telemetry we hope to uncover the timing of this migration, their migration speed and the timing and place of reproduction (does it take place in the Scheldt Estuary or in the North Sea?). This information is valuable to have a better understanding of the ecology and lifecycle of this species in its invasive range, but could possibly be used for management purposes as well.