cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.aun93n
title: Occurrence Download

description: A dataset containing 117107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((154.86328 -47.63672,7.91016 64.86328,11.07422 43.76953,2.63672 58.18359,8.61328 42.71484,1.23047 42.01172,-1.23047 59.58984,-1.93359 42.01172,-5.80078 58.18359,-3.69141 39.19922,-55.37109 49.39453,-67.32422 44.12109,-63.45703 52.55859,-73.65234 42.71484,-71.89453 53.61328,-78.57422 39.19922,-79.98047 51.15234,-82.44141 38.49609,-87.01172 50.80078,-85.25391 38.84766,-89.82422 36.38672,-91.58203 51.85547,-92.98828 33.92578,-100.01953 56.07422,-105.99609 33.92578,-111.62109 56.07422,-109.16016 35.33203,-120.76172 57.12891,-114.08203 40.25391,-138.69141 62.75391,-132.01172 47.63672,-99.31641 23.73047,-79.98047 -45.17578,-54.31641 -37.79297,-2.98828 6.15234,154.86328 -47.63672))",
 "TaxonKey is Humulus lupulus L."
 ]
}

 The dataset includes 117107 records from 355 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008505-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyiiwz
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((8.42618 38.89346,10.03019 38.89346,10.03019 39.53479,8.42618 39.53479,8.42618 38.89346))",
 "Geometry POLYGON((8.03925 38.77899,10.09918 38.77899,10.09918 41.27289,8.03925 41.27289,8.03925 38.77899))",
 "Geometry POLYGON((7.80304 38.52081,10.37384 38.52081,10.37384 41.41571,7.80304 41.41571,7.80304 38.52081))"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Alnus glutinosa (L.) Gaertn.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 49 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004188-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2p862t
title: Occurrence Download

description: A dataset containing 1017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "StateProvince is Quindio"
 ]
}

 The dataset includes 1017 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339178-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lez5ye
title: Occurrence Download

description: A dataset containing 887 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dicrostonyx hudsonius (Pallas, 1778)"
 ]
}

 The dataset includes 887 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005503-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eb5xxx
title: Occurrence Download

description: A dataset containing 31264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conocephalus dorsalis (Latreille, 1804)"
 ]
}

 The dataset includes 31264 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027798-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amdujk
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ludwigia sphaerocarpa Elliott"
 ]
}

 The dataset includes 613 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339173-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fzavs
title: Occurrence Download

description: A dataset containing 4509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Voyria Aubl."
 ]
}

 The dataset includes 4509 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005503-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqvy78
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex juncella (Fr.) Th.Fr."
 ]
}

 The dataset includes 438 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012140-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9n9gn
title: Occurrence Download

description: A dataset containing 240001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Month is May",
 "Month is June",
 "Month is March",
 "Month is April"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Poecile palustris (Linnaeus, 1758)"
 ]
}

 The dataset includes 240001 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062518-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmxxuz
title: Occurrence Download

description: A dataset containing 76330 records in GBIF matching the query:
SELECT speciesKey, MIN(decimalLatitude) AS minLatitude, MAX(decimalLatitude) AS maxLatitude, MIN(decimalLongitude) AS minLongitude, MAX(decimalLongitude) AS maxLongitude, MIN("year") AS minYear, MAX("year") AS maxYear FROM occurrence WHERE speciesKey IS NOT NULL AND occurrenceStatus = 'PRESENT' AND countryCode = 'DE' AND hasCoordinate = TRUE AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') GROUP BY speciesKey

 The dataset's 76330 records were derived from 2874 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015044-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrmet4
title: Occurrence Download

description: A dataset containing 3098 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, familyKey, family, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(classKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY classKey)) AS classCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND continent = 'EUROPE' AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND familyKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' )AND familyKey IN (5666)GROUP BY "year", eeaCellCode, classKey, class, familyKey, family ORDER BY "year" DESC, eeaCellCode ASC, familyKey ASC;

 The dataset's 3098 records were derived from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000841-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5cj87z0x
title: MassIVE MSV000096315 - Temperature Effects on Metabolite-Mediated Autotroph-Heterotroph Carbon Transfer
title: Much of the bacterial secondary production in the aquatic ecosystems is supported by rapid uptake of labile metabolites released from phytoplankton, either directly through excretion and diffusion or indirectly through lysis and predation. This project seeks to investigate the effects of temperature stress on the metabolite pools produced and released by three model phytoplankton species (a diatom, a coccolithophore, and a cyanobacterium) that will assess changes in the composition and fate of metabolites transferredto bacteria. While focused on estuarine microbes, findings of this project will be broadly relevant to temperature effects on microbial autotrophic-heterotrophic metabolite transfer in freshwater, marine, and soil ecosystems. The work (proposal:https://doi.org/10.46936/10.25585/60001361) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
DOI: 10.5281/zenodo.13322863
title: LifeDesks Archive: Dinoflagellates

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13322864
title: LifeDesks Archive: Dinoflagellates

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.25345/c57s7j46k
title: MassIVE MSV000096316 - Reduced methane emissions in transgenic rice genotypes are associated with altered rhizosphere microbial hydrogen cycling
title: Rice paddies contribute substantially to atmospheric methane (CH4) and these emissions are expected to increase as the need to feed the human populationgrows. Here, we show that two independent rice genotypes overexpressing genes for PLANT PEPTIDES CONTAINING SULFATED TYROSINE (PSY) reduced cumulative CH4 emissions by 38% (PSY1) and 58% (PSY2) over the growth period compared with controls. Genome-resolved metatranscriptomic data from rhizosphere soils reveal lower ratios of gene activities for CH4 production versus consumption, decrease in activity of H2-producing genes, and increase in bacterial H2 oxidation pathways in the PSY genotypes. Metabolic modeling using metagenomic and metabolomic data predicts elevated levels of H2 oxidation and suppressed H2 production in the PSY rhizosphere. The H2- oxidizing bacteria have more genes for utilization of gluconeogenic acids than H2- producing counterparts, and their activities were likely stimulated by the observed enrichment of gluconeogenic acids (mostly amino acids) in PSY root exudates. Together these results suggest that decreased CH4 emission is due to the reduction of H2 available for hydrogenotrophic methanogenesis. The combination of rice phenotypic characterization, microbiome multi-omic analysis, and metabolic modeling described here provides a powerful strategy to discover the mechanisms by which specific plant genotypes can alter biogeochemical cycles to reduce CH4 emissions. The work (proposal:https://doi.org/10.46936/10.25585/60008481) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
DOI: 10.5281/zenodo.13322801
title: EduLifeDesks Archive: Hungarian Ornithological and Nature Conservation Society (508) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13322800
title: EduLifeDesks Archive: Hungarian Ornithological and Nature Conservation Society (508) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.25345/c5416tb2r
title: MassIVE MSV000096317 - Quantifying the ecophysiology of growing microbes responding to warming along a productivity gradient of the Marr Ice Piedmont Glacier, West Antarctic Peninsula
title: Our overarching goal is to understand how microbes along a glacier forefield chronosequence and productivity gradient interact with their environment, how this influences carbon and nitrogen cycling, and how the microbes respond to temperature increases. Specifically, using the novel approach of quantitative SIP paired with metagenomic sequencing, we will calculate growth rates for targeted functional genes and metagenome assembled genomes, quantifying their ecophysiology, in situ. And when paired with gene expression using metatranscriptomic libraries and metabolite production, we will gain a clearer understanding of how microbes grow, how they cycle carbon and nitrogen and how their metabolic activity changes in response to warming. The work (proposal:https://doi.org/10.46936/10.25585/60008115) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
DOI: 10.15468/dl.jr4t98
title: Occurrence Download

description: A dataset containing 1297429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dactylis glomerata L."
 ]
}

 The dataset includes 1297429 records from 4631 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000858-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86a4g4
title: Occurrence Download

description: A dataset containing 802670 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Acoustic detections of birds using the SILIC in Yushan National Park, Taiwan"
 ]
}

 The dataset includes 802670 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057951-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcbhh2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.358273 -33.328189, 148.358273 -33.332681, 148.360519 -33.332681, 148.360519 -33.328189, 148.358273 -33.328189)), ((148.360519 -33.332681, 148.360519 -33.334926, 148.36501 -33.334926, 148.36501 -33.332681, 148.360519 -33.332681)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057990-240626123714530/datasets/export for details.
DOI: 10.3886/e114021
title: Replication data for: Universal Basic Incomes versus Targeted Transfers: Anti-Poverty Programs in Developing Countries

description: Of the 17 Sustainable Development Goals articulated by the United Nations, number one is the elimination of extreme poverty by 2030. While future economic growth should continue to reduce poverty, it will not solve the problem by itself; thus, there is a potentially important role for national-level transfer programs that assist poor families in developing countries. Such programs are often run by developing country governments. Many countries have implemented transfer programs that seek to target beneficiaries: that is, to identify who is poor and then to restrict transfers to those individuals. Some people have begun to advocate for "universal basic income" programs, which dispense with trying to identify the poor and instead provide transfers to everyone. We begin by considering the universal basic income as part of the solution to an optimal income-taxation problem, focusing on the case of developing countries, where there is limited income data and inclusion in the formal tax system is low. We examine how the targeting of transfer programs is conducted in these settings, and provide empirical evidence on the tradeoffs involved between universal basic income and targeted transfer schemes using data from Indonesia and Peru—two countries that run nationwide transfer programs that are targeted to the poor. We conclude by linking our findings back to the broader policy debate on what tools should be preferred for redistribution, as well as the practical challenges of administering them in developing countries.
DOI: 10.3886/e114021v1-155901
title: Replication data for: Universal Basic Incomes versus Targeted Transfers: Anti-Poverty Programs in Developing Countries

description: Of the 17 Sustainable Development Goals articulated by the United Nations, number one is the elimination of extreme poverty by 2030. While future economic growth should continue to reduce 
poverty, it will not solve the problem by itself; thus, there is a potentially important role for national-level transfer programs that assist poor families in developing countries. Such programs are 
often run by developing country governments. Many countries have implemented transfer programs that seek to target beneficiaries: that is, to identify who is poor and then to restrict transfers 
to those individuals. Some people have begun to advocate for "universal basic income" programs, which dispense with trying to identify the poor and instead provide transfers to everyone. We 
begin by considering the universal basic income as part of the solution to an optimal income-taxation problem, focusing on the case of developing countries, where there is limited income data 
and inclusion in the formal tax system is low. We examine how the targeting of transfer programs is conducted in these settings, and provide empirical evidence on the tradeoffs involved 
between universal basic income and targeted transfer schemes using data from Indonesia and Peru—two countries that run nationwide transfer programs that are targeted to the poor. We 
conclude by linking our findings back to the broader policy debate on what tools should be preferred for redistribution, as well as the practical challenges of administering them in developing 
countries.
DOI: 10.15468/dl.zzrjzc
title: Occurrence Download

description: A dataset containing 64163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Procambarus clarkii (Girard, 1852)"
 ]
}

 The dataset includes 64163 records from 461 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057989-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12783814
title: Metadata of the "Alter Realkatalog" (ARK) of Berlin State Library (SBB)

description: This dataset was created with the intent to provide a single larger set of metadata from Berlin State Library for research purposes and the development of AI applications.

The dataset comprises of descriptive metadata of 2.619.397 titles, which together form the "Alte Realkatalog" of Berlin State Library, which may be translated to "Old Subject Catalogue". The data are stored in columnar format, containing 375 columns. They were downloaded in December 2023 from the German central library system (CBS). Exemplary tasks which can be served by this dataset comprise studies on the history of books between 1500 and 1955, on the paratextual formatting of scientific books between 1800 and 1955, and on pattern recognition on the basis of bibliographical metadata.
DOI: 10.5281/zenodo.13284442
title: Metadata of the "Alter Realkatalog" (ARK) of Berlin State Library (SBB)

description: This dataset was created with the intent to provide a single larger set of metadata from Berlin State Library for research purposes and the development of AI applications.

The dataset comprises of descriptive metadata of 2.619.397 titles, which together form the "Alte Realkatalog" of Berlin State Library, which may be translated to "Old Subject Catalogue". The data are stored in columnar format, containing 375 columns. They were downloaded in December 2023 from the German central library system (CBS). Exemplary tasks which can be served by this dataset comprise studies on the history of books between 1500 and 1955, on the paratextual formatting of scientific books between 1800 and 1955, and on pattern recognition on the basis of bibliographical metadata.
DOI: 10.6084/m9.figshare.25800577.v2
title: Data and MD output for H<sub>2</sub>O partitioning

description: Data used in the figures and examples of molecular dynamics simulations outputs for calculating metal-silicate H<sub>2</sub>O partitioning
DOI: 10.15468/dl.j6hvsr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.535691 -33.328189, 148.535691 -33.332681, 148.537937 -33.332681, 148.537937 -33.328189, 148.535691 -33.328189))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057991-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6ahk3s
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Turks and Caicos Islands",
 "TaxonKey is Croton cascarilla (L.) L."
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057992-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q86ps3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.621031 -33.328189, 148.621031 -33.332681, 148.625523 -33.332681, 148.625523 -33.328189, 148.621031 -33.328189)), ((148.625523 -33.332681, 148.625523 -33.334926, 148.627769 -33.334926, 148.627769 -33.332681, 148.625523 -33.332681)), ((148.627769 -33.334926, 148.627769 -33.341664, 148.630014 -33.341664, 148.630014 -33.334926, 148.627769 -33.334926)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057993-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.