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

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 5.86633",
 "DecimalLongitude is less than 5.86938955318439",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000946-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6jr13
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lupinus palaestinus Boiss."
 ]
}

 The dataset includes 235 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004983-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44s2nx
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cotyledon papillaris (L.) L.fil."
 ]
}

 The dataset includes 137 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009302-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqz959
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maxillaria hematoglossa A.Rich. & Galeotti"
 ]
}

 The dataset includes 79 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170435-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq8tm7
title: Occurrence Download

description: A dataset containing 1003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus mongolica Fisch. ex Ledeb.",
 "Country is Japan"
 ]
}

 The dataset includes 1003 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043618-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7cf94s
title: Occurrence Download

description: A dataset containing 549 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia pilligaensis Maiden"
 ]
}

 The dataset includes 549 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006597-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnycq7
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus ×dysophylla Benth."
 ]
}

 The dataset includes 120 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004983-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4zpdk
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus acutissima Carruth.",
 "Country is Japan"
 ]
}

 The dataset includes 505 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043619-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gfte3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marathrum trichophorum P.Royen"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170436-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2x39ll
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Month is greater than or equal to July",
 "Country is Australia",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004984-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52mn4f
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 5.86633",
 "DecimalLongitude is less than 5.86938955318439",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006611-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anfblb
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus myrsinifolia Blume",
 "Country is Japan"
 ]
}

 The dataset includes 166 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043620-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebfqqf
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea bolivarensis V.Marcano"
 ]
}

 The dataset includes 32 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170437-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nify6v
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "TaxonKey is Dilophia Thomson",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 105 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004984-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10794915
title: Census of the Ecosystem of Decentralized Autonomous Organizations

description: The dataset includes data from various Decentralized Autonomous Organizations (DAOs) platforms, namely Aragon, DAOHaus, DAOstack, Realms, Snapshot and Tally. DAOs are a new form of self-governed online communities deployed in the blockchain. DAO members typically use governance tokens to participate in the DAO decision-making process, often through a voting system where members submit proposals and vote on them.

The description of the methods used for the generation of data, for processing it and the quality-assurance procedures performed on the data can be found here:https://doi.org/10.1145/3589335.3651481



Recommended citation for this dataset:Peña-Calvin, A., Arroyo, J., Schwartz, A., & Hassan, S. (2024). Concentration of Power and Participation in Online Governance: the Ecosystem of Decentralized Autonomous Organizations. Companion Proceedings of the ACM Web Conference, 13–17, 2024, Singapore, doi: https://doi.org/10.1145/3589335.3651481


The dataset comprises three CSV files: deployments.csv, proposals.csv, and votes.csv, each containing essential information regarding DAOs deployments, theirproposals, and the corresponding votes.



The file deployments.csv provides insights into the general aspects of DAO deployments, including the platform it is deployed in, the number of proposals, unique voters, votes cast, and estimated voting power.

The proposals.csv file contains comprehensive information about all proposals associated with the deployments, including their date, the number of votes they received, and the total voting power voters employed on that proposal.

In votes.csv, data regarding the votes cast for the deployment proposals is recorded. It includes the voter's blockchain address, the vote's weight in voting power, and the day it was cast.
DOI: 10.5281/zenodo.10794916
title: Census of the Ecosystem of Decentralized Autonomous Organizations

description: The dataset includes data from various Decentralized Autonomous Organizations (DAOs) platforms, namely Aragon, DAOHaus, DAOstack, Realms, Snapshot and Tally. DAOs are a new form of self-governed online communities deployed in the blockchain. DAO members typically use governance tokens to participate in the DAO decision-making process, often through a voting system where members submit proposals and vote on them.

The description of the methods used for the generation of data, for processing it and the quality-assurance procedures performed on the data can be found here:https://doi.org/10.1145/3589335.3651481



Recommended citation for this dataset:Peña-Calvin, A., Arroyo, J., Schwartz, A., & Hassan, S. (2024). Concentration of Power and Participation in Online Governance: the Ecosystem of Decentralized Autonomous Organizations. Companion Proceedings of the ACM Web Conference, 13–17, 2024, Singapore, doi: https://doi.org/10.1145/3589335.3651481


The dataset comprises three CSV files: deployments.csv, proposals.csv, and votes.csv, each containing essential information regarding DAOs deployments, theirproposals, and the corresponding votes.



The file deployments.csv provides insights into the general aspects of DAO deployments, including the platform it is deployed in, the number of proposals, unique voters, votes cast, and estimated voting power.

The proposals.csv file contains comprehensive information about all proposals associated with the deployments, including their date, the number of votes they received, and the total voting power voters employed on that proposal.

In votes.csv, data regarding the votes cast for the deployment proposals is recorded. It includes the voter's blockchain address, the vote's weight in voting power, and the day it was cast.
DOI: 10.15468/dl.6tcp65
title: Occurrence Download

description: A dataset containing 3023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia podalyriifolia A.Cunn. ex G.Don"
 ]
}

 The dataset includes 3023 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006628-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpjmmr
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuon alpinus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 683 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044140-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30847112.v1
title: Isolation and Identification of a High-Efficiency Oil-Degrading <i>Klebsiella pneumoniae</i> Strain from Kitchen Waste and Evaluation of Its Degradation Performance

description: In view of the excessive grease content in kitchen wastewater and the limited oil removal efficiency of conventional treatment systems, this study isolated a highly efficient oil-degrading bacterium (strain Y1) from soil beneath a kitchen waste pipeline and investigated its degradation performance. Through morphological observation, biochemical tests, and 16S rRNA gene sequencing, strain Y1 was identified as <i>Klebsiella pneumoniae</i>. The growth characteristics and oil degradation performance revealed the optimal degradation conditions to be 35 °C, pH 7.0, and 180 r/min. Under these conditions, the oil degradation rate reached 48.7%. In a simulated treatment of actual kitchen oil-rich wastewater, strain Y1 achieved the chemical oxygen demand (COD) removal rate of 62% in 48 h (reaching 62.8% at 66 h) and an oil degradation rate of 60.7% in 96 h (slightly increasing to 60.9% at 108 h). These results highlight the potential of strain Y1 for practical application in the bioremediation of oily wastewater. This study provides a new microbial resource and technical reference for the biological treatment of kitchen grease wastewater.
DOI: 10.6084/m9.figshare.30847112
title: Isolation and Identification of a High-Efficiency Oil-Degrading <i>Klebsiella pneumoniae</i> Strain from Kitchen Waste and Evaluation of Its Degradation Performance

description: In view of the excessive grease content in kitchen wastewater and the limited oil removal efficiency of conventional treatment systems, this study isolated a highly efficient oil-degrading bacterium (strain Y1) from soil beneath a kitchen waste pipeline and investigated its degradation performance. Through morphological observation, biochemical tests, and 16S rRNA gene sequencing, strain Y1 was identified as <i>Klebsiella pneumoniae</i>. The growth characteristics and oil degradation performance revealed the optimal degradation conditions to be 35 °C, pH 7.0, and 180 r/min. Under these conditions, the oil degradation rate reached 48.7%. In a simulated treatment of actual kitchen oil-rich wastewater, strain Y1 achieved the chemical oxygen demand (COD) removal rate of 62% in 48 h (reaching 62.8% at 66 h) and an oil degradation rate of 60.7% in 96 h (slightly increasing to 60.9% at 108 h). These results highlight the potential of strain Y1 for practical application in the bioremediation of oily wastewater. This study provides a new microbial resource and technical reference for the biological treatment of kitchen grease wastewater.
DOI: 10.5281/zenodo.17877135
title: LovelyBooks Corpus

description: Corpus of LovelyBooks reviews (https://www.lovelybooks.de/)

 

lovelybooks_books.csv > metadata on reviewed books

lovelybooks_reviews.csv > the actual reviews

lovelybooks_sentences.csv > reviews split into sentences

 

A detailed description of the corpus can be found here:

Merten Kröncke: The Terminological Resources of Lay Readers: Do LovelyBooks Users Distinguish fiktiv from fiktional?, in: The Scientific Study of Literature (forthcoming).

 

Full review content can be made available upon request for research purposes.
DOI: 10.5281/zenodo.17877134
title: LovelyBooks Corpus

description: Corpus of LovelyBooks reviews (https://www.lovelybooks.de/)

 

lovelybooks_books.csv > metadata on reviewed books

lovelybooks_reviews.csv > the actual reviews

lovelybooks_sentences.csv > reviews split into sentences

 

A detailed description of the corpus can be found here:

Merten Kröncke: The Terminological Resources of Lay Readers: Do LovelyBooks Users Distinguish fiktiv from fiktional?, in: The Scientific Study of Literature (forthcoming).

 

Full review content can be made available upon request for research purposes.
DOI: 10.15468/dl.aqhwum
title: Occurrence Download

description: A dataset containing 866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artemisia argyi"
 ]
}

 The dataset includes 866 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044142-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a8qr6
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Michelia wilsonii"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044141-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm4nmz
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhyzobius lophanthae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2030 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044143-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17874726
title: SEM Withered Plant (BSE, 2025-12-10) — Kikoh Matsuura (Art–Science Archive)

description: SEM Withered Plant (BSE, 2025-12-10) is a child dataset within the series SEM Withered Plant (BSE Series) by Kikoh Matsuura.

It contains raw, uncompressed BMP images (without embedded scale bars) and JPG preview images (with overlaid scale bars), acquired on 2025-12-10 with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.

This dataset constitutes the primary observation data underlying the art–science work Withered Plant.The images capture the hidden microstructures of a dried plant fragment, prepared with an Au sputter coating and observed at an accelerating voltage of 17 kV with a label magnification of 50×.

By preserving both raw scientific evidence and its artistic context, this record stands as a unique trace at the boundary between art and science.

It links to the parent series record via the “Related works” field (IsPartOf) and contributes to the long-term archival of observation as both scientific evidence and a cultural record.
DOI: 10.5281/zenodo.17874725
title: SEM Withered Plant (BSE, 2025-12-10) — Kikoh Matsuura (Art–Science Archive)

description: SEM Withered Plant (BSE, 2025-12-10) is a child dataset within the series SEM Withered Plant (BSE Series) by Kikoh Matsuura.

It contains raw, uncompressed BMP images (without embedded scale bars) and JPG preview images (with overlaid scale bars), acquired on 2025-12-10 with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.

This dataset constitutes the primary observation data underlying the art–science work Withered Plant.The images capture the hidden microstructures of a dried plant fragment, prepared with an Au sputter coating and observed at an accelerating voltage of 17 kV with a label magnification of 50×.

By preserving both raw scientific evidence and its artistic context, this record stands as a unique trace at the boundary between art and science.

It links to the parent series record via the “Related works” field (IsPartOf) and contributes to the long-term archival of observation as both scientific evidence and a cultural record.
DOI: 10.34740/kaggle/dsv/14087756
title: Brainrot Conversation
DOI: 10.5281/zenodo.17092187
title: Eine Erzählung als Denkmal: Zeitzeugeninterviews

description: Der Datensatz enthält alle in der Publikation Eine Erzählung als Denkmal. Die Methode der narrativen Rekonstruktion am Beispiel des Raumflug-Planetariums „Sigmund Jähn“ in Halle an der Saale zitierten Zeitzeugeninterviews. Die in den Jahren 2017-2019 geführten Interviews über die Architekturgeschichte der DDR (insbesondere des Betonschalenbaus), zur Baugeschichte des Raumflugplanetariums in Halle (Saale) und seines Ersatzneubaus am Holzplatz, zur Geschichte der populärwissenschaftlichen Astronomie in der DDR und zur Ortsgeschichte des Raumflugplanetariums auf der Peißnitzinsel in Halle. Alle Interviews führte Wolfram Höhne. Die Gesprächspartner*innen waren: Rüdiger Brandenburger, Bruno Flierl, Thomas Flierl, Romy Fuchs, Kerstin Guldenpfennig, Ruth Heftrig, Rolf Heider, Dieter B. Herrmann, Hans Reinhardt Kokott, Gerhard Kowalski, Julius Krebs, Jörg Lichtenfeld, Andreas Liste, Ulrich Möbius, Knut Müller, Klaus Schmid, Annette Stöpel, Peter Weeck, Peter Ziegler. 
description: The dataset contains all interviews cited in the publication Eine Erzählung als Denkmal. Die Methode der narrativen Rekonstruktion am Beispiel des Raumflug-Planetariums „Sigmund Jähn” in Halle an der Saale. The interviews were conducted between 2017 and 2019 and cover the architectural history of the GDR (especially concrete shell construction), the construction history of the space flight planetarium in Halle (Saale) and its replacement building at Holzplatz, the history of popular science astronomy in the GDR, and the local history of the space flight planetarium on Peißnitz in Halle. All interviews were conducted by Wolfram Höhne. The interviewees were: Rüdiger Brandenburger, Bruno Flierl, Thomas Flierl, Romy Fuchs, Kerstin Guldenpfennig, Ruth Heftrig, Rolf Heider, Dieter B. Herrmann, Hans Reinhardt Kokott, Gerhard Kowalski, Julius Krebs, Jörg Lichtenfeld, Andreas Liste, Ulrich Möbius, Knut Müller, Klaus Schmid, Annette Stöpel, Peter Weeck, and Peter Ziegler.