cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive107810.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0099605.10fu
title: SH0099605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18165571
title: IDE et croissance économique en Afrique de l'Ouest : les caractéristiques structurelles sont-elles importantes ?

description: L’objectif de cet article est d’analyser l’effet des investissements directs étrangers (IDE) sur la croissance économique en Afrique de l’Ouest, en intégrant une analyse comparative du rôle des institutions et du capital humain. L’étude porte sur les pays d’Afrique de l’Ouest, sur la période allant de 2004 à 2022. Les données proviennent de la Banque mondiale (WDI). Sur le plan méthodologique, nous mobilisons un modèle de croissance dynamique en panel et construisons un indice composite de qualité institutionnelle par analyse en composantes principales (ACP). Le recours à l’estimateur GMM en système a permis de contrôler les problèmes d'endogénéité. Les résultats indiquent que les IDE ont un effet positif mais de faible ampleur sur la croissance. De plus, cet effet est atténué par la faiblesse de la qualité institutionnelle. Par contre, le capital humain renforce significativement l’impact des IDE sur la croissance. Ces conclusions plaident pour un renforcement soutenu du capital humain et la poursuite énergique de la lutte contre la corruption, afin de maximiser les retombées productives des IDE.
DOI: 10.5281/zenodo.18165572
title: IDE et croissance économique en Afrique de l'Ouest : les caractéristiques structurelles sont-elles importantes ?

description: L’objectif de cet article est d’analyser l’effet des investissements directs étrangers (IDE) sur la croissance économique en Afrique de l’Ouest, en intégrant une analyse comparative du rôle des institutions et du capital humain. L’étude porte sur les pays d’Afrique de l’Ouest, sur la période allant de 2004 à 2022. Les données proviennent de la Banque mondiale (WDI). Sur le plan méthodologique, nous mobilisons un modèle de croissance dynamique en panel et construisons un indice composite de qualité institutionnelle par analyse en composantes principales (ACP). Le recours à l’estimateur GMM en système a permis de contrôler les problèmes d'endogénéité. Les résultats indiquent que les IDE ont un effet positif mais de faible ampleur sur la croissance. De plus, cet effet est atténué par la faiblesse de la qualité institutionnelle. Par contre, le capital humain renforce significativement l’impact des IDE sur la croissance. Ces conclusions plaident pour un renforcement soutenu du capital humain et la poursuite énergique de la lutte contre la corruption, afin de maximiser les retombées productives des IDE.
DOI: 10.13145/bacdive107810.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0099606.10fu
title: SH0099606.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.2jm8dj
title: Occurrence Download

description: A dataset containing 985 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Paulownia fortunei (Seem.) Hemsl.)"
 ]
}

 The dataset includes 985 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012804-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wv534
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliotropium halacsyi Riedl"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240097-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urek9x
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum symoensianum Lisowski"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239395-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6etx7f
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-69.23283 -33.00563,-69.09844 -33.00563,-69.09844 -32.92632,-69.23283 -32.92632,-69.23283 -33.00563))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 128 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003336-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jszh5a
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heteropholis nigrescens (Thwaites) C.E.Hubb."
 ]
}

 The dataset includes 29 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242063-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qb66k
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum sutherlandii Harv."
 ]
}

 The dataset includes 120 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239392-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tta2ky
title: Occurrence Download

description: A dataset containing 872 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliotropium hirsutissimum Grauer"
 ]
}

 The dataset includes 872 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240099-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8k27g
title: Occurrence Download

description: A dataset containing 1001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trifolium ambiguum M.Bieb."
 ]
}

 The dataset includes 1001 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010319-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fs7xut
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((10.038421 45.653745,10.039959 45.652825,10.039178 45.651903,10.039479 45.65165,10.040945 45.651029,10.042374 45.648444,10.040208 45.647034,10.038622 45.64662,10.037954 45.64634,10.035699 45.64561,10.035133 45.645294,10.034817 45.644725,10.034601 45.644084,10.035494 45.642789,10.036698 45.641292,10.037196 45.641166,10.03787 45.639016,10.037858 45.638408,10.037435 45.637555,10.036333 45.635814,10.034994 45.635004,10.034337 45.63526,10.033928 45.635192,10.033477 45.635589,10.032267 45.636279,10.030748 45.636758,10.03024 45.636834,10.02847 45.637528,10.028381 45.638208,10.026559 45.638868,10.025059 45.639824,10.023541 45.63818,10.022534 45.638797,10.022229 45.638871,10.02146 45.638592,10.0208 45.638705,10.019334 45.639326,10.018563 45.638939,10.018014 45.639587,10.017777 45.640519,10.017689 45.641305,10.017441 45.641701,10.017806 45.642126,10.017864 45.642555,10.019994 45.642,10.020452 45.64196,10.020495 45.641947,10.020503 45.641959,10.020813 45.642207,10.021133 45.643026,10.020833 45.643314,10.021566 45.644415,10.022343 45.645123,10.02244 45.645566,10.022044 45.645483,10.021431 45.645417,10.021025 45.645492,10.020992 45.646457,10.020635 45.646425,10.019922 45.646431,10.019569 45.646649,10.019433 45.647579,10.020409 45.648035,10.021534 45.651062,10.022103 45.651521,10.023019 45.651477,10.02399 45.651611,10.025785 45.652274,10.028849 45.653491,10.028014 45.654362,10.024197 45.652878,10.024112 45.652754,10.020228 45.654897,10.01981 45.654293,10.018894 45.654373,10.018684 45.654053,10.018272 45.653807,10.017563 45.654063,10.015836 45.654328,10.015642 45.654866,10.014676 45.654982,10.012904 45.655605,10.011889 45.655864,10.010837 45.656838,10.010904 45.656829,10.010888 45.656838,10.012796 45.658107,10.018092 45.657917,10.020298 45.658755,10.02464 45.659324,10.024996 45.659315,10.024996 45.659321,10.027705 45.659761,10.02832 45.659934,10.029494 45.660066,10.030037 45.659097,10.031038 45.658123,10.030677 45.657876,10.030774 45.657589,10.031887 45.65715,10.031629 45.656974,10.032583 45.656251,10.033243 45.656102,10.034052 45.655737,10.034449 45.655198,10.035815 45.654793,10.035821 45.654796,10.036928 45.65421,10.037133 45.654316,10.038396 45.653733,10.038421 45.653745)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030946-230530130749713/datasets/export for details.
DOI: 10.15468/dl.e52kmm
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum tenuiculum DC."
 ]
}

 The dataset includes 47 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239402-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kje8wh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heteropogon fischerianus Bor"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242072-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4cbwt
title: Occurrence Download

description: A dataset containing 4625 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobates auratus (Girard, 1855)"
 ]
}

 The dataset includes 4625 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008875-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgjz8p
title: Occurrence Download

description: A dataset containing 2827 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euploca polyphylla (Lehm.) J.I.M.Melo & Semir"
 ]
}

 The dataset includes 2827 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240100-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8d7dre
title: Occurrence Download

description: A dataset listing the 287 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.02982 22.1907,-98.03585 22.16757,-98.00226 22.13566,-97.93938 22.19947,-97.98847 22.24174,-98.02982 22.1907))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 287 records were derived from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242050-230224095556074/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.25712750
title: Controlled Discovery and Localization of Signals via Bayesian Linear Programming

description: Scientists often must simultaneously localize and discover signals. For instance, in genetic fine-mapping, high correlations between nearby genetic variants make it hard to identify the exact locations of causal variants. So the statistical task is to output as many disjoint regions containing a signal as possible, each as small as possible, while controlling false positives. Similar problems arise, for example, when locating stars in astronomical surveys and in changepoint detection. Common Bayesian approaches to these problems involve computing a posterior distribution over signal locations. However, existing procedures to translate these posteriors into credible regions for the signals fail to capture all the information in the posterior, leading to lower power and (sometimes) inflated false discoveries. We introduce Bayesian Linear Programming (BLiP), which can efficiently convert any posterior distribution over signals into credible regions for signals. BLiP overcomes an extremely high-dimensional and nonconvex problem to verifiably nearly maximize expected power while controlling false positives. Applying BLiP to existing state-of-the-art analyses of UK Biobank data (for genetic fine-mapping) and the Sloan Digital Sky Survey (for astronomical point source detection) increased power by 30%–120% in just a few minutes of additional computation. BLiP is implemented in pyblip (Python) and blipr (R). Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.25712750.v1
title: Controlled Discovery and Localization of Signals via Bayesian Linear Programming

description: Scientists often must simultaneously localize and discover signals. For instance, in genetic fine-mapping, high correlations between nearby genetic variants make it hard to identify the exact locations of causal variants. So the statistical task is to output as many disjoint regions containing a signal as possible, each as small as possible, while controlling false positives. Similar problems arise, for example, when locating stars in astronomical surveys and in changepoint detection. Common Bayesian approaches to these problems involve computing a posterior distribution over signal locations. However, existing procedures to translate these posteriors into credible regions for the signals fail to capture all the information in the posterior, leading to lower power and (sometimes) inflated false discoveries. We introduce Bayesian Linear Programming (BLiP), which can efficiently convert any posterior distribution over signals into credible regions for signals. BLiP overcomes an extremely high-dimensional and nonconvex problem to verifiably nearly maximize expected power while controlling false positives. Applying BLiP to existing state-of-the-art analyses of UK Biobank data (for genetic fine-mapping) and the Sloan Digital Sky Survey (for astronomical point source detection) increased power by 30%–120% in just a few minutes of additional computation. BLiP is implemented in pyblip (Python) and blipr (R). Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.nv8s82
title: Occurrence Download

description: A dataset containing 1796744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Pleuronectiformes"
 ]
}

 The dataset includes 1796744 records from 804 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242043-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26ed4q
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum tenuifolium Killick"
 ]
}

 The dataset includes 26 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239404-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6dc84
title: Occurrence Download

description: A dataset containing 72369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is EOD – eBird Observation Dataset",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "Year 2022-2023"
 ]
}

 The dataset includes 72369 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003337-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mck2ne
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euploca karwinskyi (I.M.Johnst.) J.I.M.Melo"
 ]
}

 The dataset includes 30 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240110-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20394/0ig6muzu
title: Traveline National Dataset (TNDS) archive

description: This dataset consists of an archive of The Traveline National DataSet (TNDS) originally published by Traveline Information Limited. The information mainly reflects local public transport services, such as public transport timetables for bus, light rail, tram, and ferry services in Great Britain.

Methods and Processing: 
The data is simply stored and redistributed as published by the original source.

Additional information:
Original source: https://www.travelinedata.org.uk/
Traveline National Dataset (TNDS): https://www.travelinedata.org.uk/traveline-open-data/traveline-national-dataset/
TXC format: https://www.gov.uk/government/collections/transxchange
DOI: 10.15468/dl.fdcd25
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((10.945858 46.260225,10.945899 46.260415,10.946186 46.260791,10.946238 46.261265,10.946157 46.261885,10.946246 46.262479,10.946287 46.262668,10.946309 46.263286,10.946348 46.263428,10.946863 46.26342,10.947281 46.263603,10.947837 46.263831,10.94849 46.263868,10.949309 46.263735,10.949413 46.263757,10.949654 46.2638,10.950054 46.26346,10.950192 46.263482,10.950474 46.263715,10.950785 46.263757,10.951059 46.263752,10.951632 46.263481,10.951693 46.263266,10.951929 46.263143,10.952574 46.262965,10.952638 46.262891,10.953353 46.262667,10.953627 46.262662,10.953867 46.262658,10.954001 46.262584,10.95448 46.262528,10.954851 46.262356,10.955157 46.262279,10.955456 46.262012,10.956167 46.261762,10.956474 46.261709,10.956915 46.261583,10.956842 46.261441,10.956455 46.261186,10.956004 46.261028,10.955449 46.260847,10.955133 46.260662,10.954881 46.260309,10.954635 46.260147,10.954393 46.260103,10.954085 46.260109,10.953815 46.260232,10.953541 46.260237,10.9534 46.260144,10.95333 46.260098,10.953055 46.260079,10.952538 46.260016,10.952189 46.259832,10.951947 46.259788,10.951462 46.259654,10.951006 46.259353,10.950902 46.25933,10.950766 46.259357,10.950432 46.259624,10.950194 46.259676,10.950054 46.259607,10.949911 46.259443,10.949669 46.259375,10.949155 46.259384,10.948781 46.259486,10.94871 46.259415,10.948774 46.259295,10.948736 46.259177,10.948667 46.259178,10.948396 46.259278,10.948191 46.259282,10.948085 46.259212,10.948009 46.258999,10.947938 46.258929,10.947284 46.258845,10.947037 46.258659,10.946717 46.258331,10.946456 46.257741,10.946298 46.257173,10.946043 46.256749,10.945594 46.256661,10.94515 46.256693,10.945014 46.256743,10.944672 46.256772,10.944609 46.256916,10.944335 46.256921,10.944091 46.256806,10.943817 46.256834,10.943791 46.257073,10.943802 46.257382,10.943949 46.257641,10.944335 46.257896,10.944377 46.258109,10.944262 46.258754,10.944288 46.259491,10.944469 46.259749,10.944747 46.25984,10.945156 46.259785,10.945427 46.259685,10.945535 46.259826,10.945712 46.25999,10.945917 46.260189,10.945858 46.260225)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030952-230530130749713/datasets/export for details.
DOI: 10.15468/dl.qr55qw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonatum urceolatum (J.M.H.Shaw) Floden"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242086-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf98gx
title: Occurrence Download

description: A dataset listing the 66 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aves de la expedición en el páramo de Bijagual, Boyacá - Proyecto Boyacá BIO"
 ]
}

 The dataset's 66 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003331-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.