cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kmy83v
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apogonichthyoides melas (Bleeker, 1848)"
 ]
}

 The dataset includes 284 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052217-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpsm98
title: Occurrence Download

description: A dataset containing 11897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Posidonia oceanica (L.) Delile",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is less than or equal to 2014",
 "Year is greater than or equal to 1850"
 ]
}

 The dataset includes 11897 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302785-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmgj64
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Bolivia (Plurinational State of)",
 "Country is Brazil",
 "Country is Colombia"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "IucnRedListCategory is CR",
 "IucnRedListCategory is EN",
 "IucnRedListCategory is VU",
 "IucnRedListCategory is NT"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Amazona dufresniana (Shaw, 1812)",
 "Year 2000-2022"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0358119-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112018223
title: Cuneiform Tablet 1913.14.0254, Spurlock 1913.14.0254

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0254; CDLI P420636 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (10YR 8.5/1) Brownish Pink (5YR 8/3) Dark Gray to Black (N 2.5/ 4.6% R) -discoloration ❧ [Physical Object Note:] 5 x 4.7 x 2.4 cm (71g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112018276
title: Cuneiform Tablet 1913.14.0254, Spurlock 1913.14.0254

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0254; CDLI P420636 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (10YR 8.5/1) Brownish Pink (5YR 8/3) Dark Gray to Black (N 2.5/ 4.6% R) -discoloration ❧ [Physical Object Note:] 5 x 4.7 x 2.4 cm (71g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.5cdvsy
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudophilautus reticulatus (Günther, 1864)"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307414-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uab2ra
title: Occurrence Download

description: A dataset containing 11897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Posidonia oceanica (L.) Delile",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is less than or equal to 2014",
 "Year is greater than or equal to 1850"
 ]
}

 The dataset includes 11897 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302782-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48420/30104551
title: Labour productivity estimates for detailed industries in the UK, 2009 to 2023

description: This dataset contains estimates of labour productivity for 184 detailed industries in the UK, on an annual basis from 2009 to 2023. The two productivity measures are Gross Value Added (GVA) per filled job, and GVA per Full-Time Equivalent (FTE) job, where FTEs are estimated with a 50% weight on part-time jobs.The data are available only in current prices (nominal terms) - i.e. they are not adjusted for price inflation over time. As such, the estimates should not be used to calculate productivity growth over time.The 184-industry breakdown covers the whole economy, including 59 industries in manufacturing, 14 in non-manufacturing production, 6 in construction, and 106 in services. This more than doubles the level of detail available in official productivity statistics.The estimates are constructed using only publicly available official datasets, and a fully transparent methodology. The associated Stata code files and instructions are also available. More information on the sources and methods is available from the following publication, which should also be used as the reference for this dataset:Martin, J. and Taylor, C. (2025). Labour productivity estimates for detailed industries in the UK, 2009 to 2023. Working Paper No. 60, The Productivity Institute
DOI: 10.48420/30104551.v3
title: Labour productivity estimates for detailed industries in the UK, 2009 to 2023

description: This dataset contains estimates of labour productivity for 184 detailed industries in the UK, on an annual basis from 2009 to 2023. The two productivity measures are Gross Value Added (GVA) per filled job, and GVA per Full-Time Equivalent (FTE) job, where FTEs are estimated with a 50% weight on part-time jobs.The data are available only in current prices (nominal terms) - i.e. they are not adjusted for price inflation over time. As such, the estimates should not be used to calculate productivity growth over time.The 184-industry breakdown covers the whole economy, including 59 industries in manufacturing, 14 in non-manufacturing production, 6 in construction, and 106 in services. This more than doubles the level of detail available in official productivity statistics.The estimates are constructed using only publicly available official datasets, and a fully transparent methodology. The associated Stata code files and instructions are also available. More information on the sources and methods is available from the following publication, which should also be used as the reference for this dataset:Martin, J. and Taylor, C. (2025). Labour productivity estimates for detailed industries in the UK, 2009 to 2023. Working Paper No. 60, The Productivity Institute
DOI: 10.48420/30104551.v2
title: Labour productivity estimates for detailed industries in the UK, 2009 to 2023

description: This dataset contains estimates of labour productivity for 184 detailed industries in the UK, on an annual basis from 2009 to 2023. The two productivity measures are Gross Value Added (GVA) per filled job, and GVA per Full-Time Equivalent (FTE) job, where FTEs are estimated with a 50% weight on part-time jobs.The data are available only in current prices (nominal terms) - i.e. they are not adjusted for price inflation over time. As such, the estimates should not be used to calculate productivity growth over time.The 184-industry breakdown covers the whole economy, including 59 industries in manufacturing, 14 in non-manufacturing production, 6 in construction, and 106 in services. This more than doubles the level of detail available in official productivity statistics.The estimates are constructed using only publicly available official datasets, and a fully transparent methodology. The associated Stata code files and instructions are also available. More information on the sources and methods is available from the following publication, which should also be used as the reference for this dataset:Martin, J. and Taylor, C. (2025). Labour productivity estimates for detailed industries in the UK, 2009 to 2023. Working Paper No. 60, The Productivity Institute
DOI: 10.15468/dl.d4pp6u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum virgatum",
 "Country is Morocco",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000515-251009101135966/datasets/export for details.
DOI: 10.15468/dl.a3q4kf
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum virgatum",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 161 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000514-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rp2erk
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Egretta thula)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 418 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027462-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4dusq
title: Occurrence Download

description: A dataset containing 15694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geranium sibiricum"
 ]
}

 The dataset includes 15694 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027458-250717081556266/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.29617250
title: <b>Figures and AI Prompt Text for the Illustrative Graphics in the article “</b><b><i>Shock Treatment: Can Generative Artificial Intelligence Defibrillate the Dead Aesthetics of Electricity Infrastructure?</i></b><b>”</b>

description: These prompts and images were created by Jiajing Li & Paul Cuffe using Midjourney and DALL-E in Summer 2024. Only a subset of these images are featured in the manuscript:<br><br>Przybyszewski, J., Li, J. and Cuffe, P. "Shock Treatment Can Generative Artificial Intelligence Defibrillate the Dead Aesthetics of Electricity Infrastructure" in review with IEEE Transactions on Technology and Society
DOI: 10.6084/m9.figshare.29617250.v1
title: <b>Figures and AI Prompt Text for the Illustrative Graphics in the article “</b><b><i>Shock Treatment: Can Generative Artificial Intelligence Defibrillate the Dead Aesthetics of Electricity Infrastructure?</i></b><b>”</b>

description: These prompts and images were created by Jiajing Li & Paul Cuffe using Midjourney and DALL-E in Summer 2024. Only a subset of these images are featured in the manuscript:<br><br>Przybyszewski, J., Li, J. and Cuffe, P. "Shock Treatment Can Generative Artificial Intelligence Defibrillate the Dead Aesthetics of Electricity Infrastructure" in review with IEEE Transactions on Technology and Society
DOI: 10.15468/dl.m8upch
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027463-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6q3u3
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaptalia exscapa"
 ]
}

 The dataset includes 331 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027465-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16312272
title: BETA-FOR_SP7_Hanging_Deadwood_Microbial_Bacterial_OTUs_2018_2021

description: In 2018, we hung out two small logs on 60 plots in Uniwald Sailershausen. 1x F. sylvatica, 1x P. sylvestris. The logs were hung in the centre of the plots. In 2018 we took an initial sample (drill sample for the microbial community and wood slice for determining mass loss as a proxy for decomposition). In 2021 we took another round of drill and slice samples. The dataset here is the community matrix for determined bacterial OTUs of the wooden logs. 
description: Because this is an experiment that pre-dates the official start of BETA-FOR, the labels are different.

The community matrix is filled with read counts for each sample/bacterial OTU. OTUs are rows, samples are columns.

The sample name e.g. P1_SubBu18 is structured as:

"P1" - Plot number 1. These plot numbers correspond to BETA-FOR plot/patch numbers. Plots in the dataset are 1-60 (i.e. only in Sailershausen).

"Sub" - we only analyzed the microbial community in 2018 on a subset of the samples. "Sub" simply explicitly indicates this. This identification does not appear for 2021 samples.

"Bu" - The sample is Beech (F. sylvatica). Alternatively, this space in the sample name may be "Ki" for Pine (P. sylvestris).

"18" - This indicates the year in which the sample was taken. It will either be "18" for 2018 or "21" for 2021.
DOI: 10.15468/tcdcjp
title: Erbario di Agostino Coltellini | Agostino Coltellini's herbarium

description: Herbarium of Agostino Coltellini (1780), a bound volume of re-painted specimen
DOI: 10.15468/dl.ahrgfr
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027469-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3z3g3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027468-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9gua5
title: Occurrence Download

description: A dataset containing 52636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Urbanus"
 ]
}

 The dataset includes 52636 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027367-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mwgz4
title: Occurrence Download

description: A dataset containing 2173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaptalia integerrima"
 ]
}

 The dataset includes 2173 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027466-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbzgtz
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Paraguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027467-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12542867
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.17617/3.rtulyr
title: The expanded Bostrychia moritziana genome unveils evolution in the most diverse and complex order of red algae

description: Red seaweeds form part of an ancient lineage of eukaryotes that were one of the first to evolve multicellularity. Although red seaweeds share a common evolutionary origin with modern-day plants and display complex multicellular development, we still lack comprehensive genome data from the most highly-evolved groups. Here, we present a chromosome-level genome assembly of the complex red seaweed Bostrychia moritziana, a member of the largest and most diverse order of red algae called the Ceramiales. Contrary to the commonly held view that red algae generally have small genomes, we report significant genome size expansion in Bostrychia and other Ceramiales species, which we posit as one of at least three independent genome expansion events that occurred during red algal evolution. Our analyses suggest that these expansions do not involve polyploidy or ancient whole genome duplications, but in the case of Bostrychia appear to be largely driven by the dramatic proliferation of a single lineage of giant Plavaka DNA transposons. Consistent with increased genome size, we identify a substantial increase in gene content in Bostrychia that was shaped both by de novo gene emergence and by the amplification of gene families in common with other Ceramiales seaweeds, providing key insight into the genetic adaptations underpinning the evolutionary success of this species-rich order. Finally, our sex-specific assemblies enabled us to resolve the UV sex chromosomes in Bostrychia, which feature expanded gene-rich sex-linked regions. Notably, these sex-linked regions each harbour a distinct TALE-HD transcription factor orthologous to ancient regulators of haploid-diploid transitions in other multicellular lineages. Together, our findings offer unique perspectives into the genomic adaptations driving red algal diversity and demonstrate how this highly successful group of red seaweeds can provide insight into the evolutionary origins and common principles of complex multicellular plant life.
DOI: 10.34780/ji3ivwmi
title: Schreiber - Gestrich - Loanwords and Trade

description: Supplement to H. Schreiber - N. Gestrich. 2025. Loanwords and Trade in West Africa: grains, gold, salt, and iron. In: J. Sigl - J. Linstädter (eds.), Entangled Africa - Intra-African relations between rain forest and Mediterranean, ca. 4000 BCE - 1500 CE. Archäologische Forschungen in Afrika (AFA) 2: 

Interactive maps on the distribution of salt, millet, iron, gold and fonio in Western Africa south of the Sahara.
DOI: 10.15468/dl.shh89d
title: Occurrence Download

description: A dataset containing 386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus macrophylla",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 386 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027472-250717081556266/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.29617253
title: Supplementary Figures for Taylor et al Marine Mammal Science submissionSonograms of examples of marine mammal calls detected on the Soundtrap Raw recordings of the marine mammal calls detected on the soundtrapExcel file of all raw data used in the study

description: Csv file of the raw data from the soundtrap and the environmental variables used in the study. Supplementary file demonstrating sonograms of exemplary call types used to detect the presence of marine mammal species in the audio files, and associated sound files of each of these.
DOI: 10.6084/m9.figshare.29617253.v1
title: Supplementary Figures for Taylor et al Marine Mammal Science submissionSonograms of examples of marine mammal calls detected on the Soundtrap Raw recordings of the marine mammal calls detected on the soundtrapExcel file of all raw data used in the study

description: Csv file of the raw data from the soundtrap and the environmental variables used in the study. Supplementary file demonstrating sonograms of exemplary call types used to detect the presence of marine mammal species in the audio files, and associated sound files of each of these.
DOI: 10.15468/dl.uz2jsd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quasimellana angra"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027475-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33h6u9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus macrophylla",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027474-250717081556266/datasets/export for details.
DOI: 10.15468/dl.nwk3yv
title: Occurrence Download

description: A dataset containing 46122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex alba, Carex ajanensis, Carex alba aprica, Carex argentea, Carex argentea, Carex duerrnbergeri, Carex inclusa, Carex inclusa, Carex nemorosa, Carex atrata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 46122 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027471-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.