cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bhprc5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanius fasciatus, Aphanius stiassnyae, Aphyosemion abacinum, Aphyosemion ahli, Aphyosemion alpha, Aphyosemion amoenum, Aphyosemion aureum, Aphyosemion australe, Aphyosemion bamilekorum, Aphyosemion batesii, Aphyosemion bitaeniatum, Aphyosemion bivittatum, Aphyosemion bualanum, Aphyosemion buytaerti, Aphyosemion calliurum, Aphyosemion cameronense, Aphyosemion castaneum, Aphyosemion caudofasciatum, Aphyosemion celiae, Aphyosemion chauchei, Aphyosemion christyi, Aphyosemion citrineipinnis, Aphyosemion coeleste, Aphyosemion cognatum, Aphyosemion congicum, Aphyosemion cyanostictum, Aphyosemion dargei, Aphyosemion decorsei, Aphyosemion edeanum, Aphyosemion elberti, Aphyosemion elegans, Aphyosemion escherichi, Aphyosemion etsamense, Aphyosemion exigoideum, Aphyosemion exiguum, Aphyosemion ferranti, Aphyosemion franzwerneri, Aphyosemion fulgens, Aphyosemion georgiae, Aphyosemion hanneloreae, Aphyosemion heinemanni, Aphyosemion hera, Aphyosemion herzogi, Aphyosemion hofmanni, Aphyosemion joergenscheeli, Aphyosemion kouamense, Aphyosemion labarrei, Aphyosemion lamberti, Aphyosemion lefiniense, Aphyosemion loennbergii, Aphyosemion louessense, Aphyosemion lugens, Aphyosemion lujae, Aphyosemion maculatum, Aphyosemion mikeae, Aphyosemion wachtersi, Aphyosemion mimbon, Aphyosemion ocellatum, Aphyosemion passaroi, Aphyosemion poliaki, Aphyosemion polli, Aphyosemion primigenium, Aphyosemion punctatum, Aphyosemion raddai, Aphyosemion rectogoense, Aphyosemion riggenbachi, Aphyosemion schioetzi, Aphyosemion schluppi, Aphyosemion schoutedeni, Aphyosemion seegersi, Aphyosemion splendopleure, Aphyosemion striatum, Aphyosemion thysi, Aphyosemion tirbaki, Aphyosemion trilineatus, Aphyosemion volcanum, Aphyosemion wildekampi, Aphyosemion wuendschi, Aphyosemion zygaima, Aplocheilichthys antinorii, Micropanchax antinorii, Aplocheilichthys atripinna, Lacustricola atripinna, Aplocheilichthys brichardi, Poropanchax brichardi, Aplocheilichthys bukobanus, Lacustricola bukobanus, Aplocheilichthys centralis, Lacustricola centralis, Aplocheilichthys fuelleborni, Micropanchax fuelleborni, Aplocheilichthys jeanneli, Lacustricola jeanneli, Aplocheilichthys kongoranensis, Lacustricola kongoranensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((46.8009 -14.7158,46.1382 -15.1614,46.1382 -15.9401,50.8081 -15.9401,50.9712 -15.4415,50.3203 -12.5851,49.5255 -11.523,49.0875 -11.4772,48.2794 -11.911,48.1654 -12.5557,47.3945 -13.3102,47.2457 -14.0495,46.8009 -14.7158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005129-250827131500795/datasets/export for details.
DOI: 10.15468/dl.s4z6w4
title: Occurrence Download

description: A dataset containing 2375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 2375 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005131-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpcw9z
title: Occurrence Download

description: A dataset containing 40722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country derived from coordinates, Continent coordinate mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Anguilla rostrata"
 ]
}

 The dataset includes 40722 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005125-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyrxuc
title: Occurrence Download

description: A dataset containing 883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 883 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005133-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.baavan
title: Occurrence Download

description: A dataset containing 244931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mareca penelope",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 244931 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005045-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtaqa5
title: Occurrence Download

description: A dataset containing 20439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is French Guiana",
 "DatasetKey is FishBase Database",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 20439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005138-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr655n
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pethia conchonius",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005141-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/ca72vt
title: Información demográfica de Hippopotamus amphibius como insumos para el manejo de la especie en el país

description: I2D-BIO_2021_113.
Información poblacional de la especie Hippopotamus amphibius enmarcado en el Convenio No. 21-383, con el objetivo de aunar esfuerzos técnicos administrativos y financieros entre el Ministerio de Ambiente y Desarrollo Sostenible, el Instituto Alexander von Humboldt y la Universidad Nacional de Colombia Facultad de Ciencias – Instituto De Ciencias Naturales para la obtención de información demográfica y ecológica de Hippopotamus amphibius como insumos para el manejo de la especie en el país. Entre los días 08 de noviembre y 02 de diciembre de 2021se realizó el muestreo de los hipopótamos el cual se basó, por un lado, en entrevistas para verificar registros históricos. Por otro lado, se realizaron recorridos en embarcaciones, búsqueda de los individuos con binoculares; y búsqueda con drones a partir de fotografías y videos. El área de estudio abarcó la cuenca media y baja del río Magdalena, basándose en el origen de dispersión y la actualización de los registros históricos del hipopótamo. Los muestreos se centraron puntualmente en dos ventanas: (i) región de la Depresión Momposina; y (ii) región del valle medio del río Magdalena; aportando entre las dos 46 registros y 169 individuos.
DOI: 10.15468/dl.9jjue9
title: Occurrence Download

description: A dataset containing 30355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Potamogeton nodosus"
 ]
}

 The dataset includes 30355 records from 756 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005136-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15454/hhn2ga/byno2n
title: OLA-IS-ToU-CGU-UK-FR-2020-V7.pdf
DOI: 10.15454/hhn2ga/arjonv
title: OLA-IS-ToU-2021-aug-withDOI-UK-V10-2.pdf

description: How to use data, rights and duties.
DOI: 10.15454/hhn2ga/tsyjbf
title: OLA-IS-ToU-CGU-2020-Avril.pdf

description: How tu use the OLA 's DATA: Rights ans Duties
DOI: 10.15454/hhn2ga/6kuijw
title: OLA-IS-ToU-CGU-2021-aout-V10-2.pdf

description: Charte en français d'utilisation des données OLA
DOI: 10.57745/bqpeca
title: OLA-IS-ToU-2025-EN.pdf

description: Terms of Use of the informa/on system and the data of the Observatory on
LAkes
DOI: 10.15454/hhn2ga
title: Terms of Use of OLA-IS (Observatory of LAkes - Information System)

description: This text, in English, followed by its French version describes the terms of use of the data available in the information system of the lakes observator. The Terms of Use herein apply 1) to the use of data from the Lakes Observatory (OLA) produced and managed by INRAE (laboratory of Thonon-les-Bains, France) and its partners, its own data and the data of third parties which INRAE of Thonon-les-Bains is the custodian, and 2) to the computer application that manages and makes these data available. Any use of the OLA information system and any extraction of data implies the acceptance and respect for all of the terms of the general terms of use herein. They constitute an agreement between OLA (INRAE of Thonon-les-Bains and its partners) and the person requesting the use, defined hereinafter as the User.
DOI: 10.57745/fjdfpq
title: OLA-IS-ToU-CGU-2025-fr.pdf

description: Conditions générales d’utilisation du système d’information et des données de
l’observatoire des lacs (OLA-IS1)
DOI: 10.15468/dl.hpavrc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005142-250827131500795/datasets/export for details.
DOI: 10.15468/dl.bbnypq
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005143-250827131500795/datasets/export for details.
DOI: 10.15468/dl.hbkt2w
title: Occurrence Download

description: A dataset containing 4214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (Africa, North America)",
 "TaxonKey is Pheidole megacephala"
 ]
}

 The dataset includes 4214 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005144-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rs2ny2
title: Occurrence Download

description: A dataset containing 4738028 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The New York Botanical Garden Herbarium (NY)"
 ]
}

 The dataset includes 4738028 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005109-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ucqsw
title: Occurrence Download

description: A dataset containing 19102667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 19102667 records from 683 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005087-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597353
title: РЕСПУБЛИКАМИЗДА СУВ ИНШООТЛАРИДАН САМАРАЛИ ФОЙДАЛАНИШНИ ТАКОМИЛЛАШТИРИШ ОМИЛЛАРИ.
DOI: 10.5281/zenodo.15597354
title: РЕСПУБЛИКАМИЗДА СУВ ИНШООТЛАРИДАН САМАРАЛИ ФОЙДАЛАНИШНИ ТАКОМИЛЛАШТИРИШ ОМИЛЛАРИ.
DOI: 10.5281/zenodo.16964642
title: Data_WP4_6 Multi sensor data for personal exposure monitoring in the ULLs

description: This dataset comprises data collected through personal sensors worn by participants in cities participating in the URBANOME sensor campaigns. It contains individual-level measurements of exposure to air pollutants, environmental noise, physical activity. Data were collected during both the pre-intervention and post-intervention phases (PhaseIIa and Phaseiib), each lasting one week, enabling comparative analysis over time. The data is stored as daily aggregated individual-level measurements, allowing for comparative analysis across cities and between pre- and post-intervention periods.Data are organized in two subfolders, namely “Environmental Data” and "Activity Tracker". In the Environmental Data subfolder, files are organised by Urban Living Lab and contain, for each participant, daily average values of particulate matter concentrations (PM₁, PM₂.₅, and PM₁₀), ambient temperature, humidity, and noise levels (L_mean, L_den, and L_night) as measured by the NoiseCapture mobile application. In addition, the dataset includes an estimate of the daily intake dose of particulate matter, calculated by combining pollutant concentration data with individual time-activity patterns and estimated inhalation rates based on physical activity levels.The Activity Tracker subfolder contains data from Xiaomi Band 7 devices, also organised by ULL. For each participant, the dataset includes average daily heart rate, number of steps taken, distance covered, and sleep quality metrics, assessed via analysis of different sleep stages (deep, light, and REM sleep).Each data file in both subfolders is accompanied by a data dictionary to support variable identification and interpretation.
DOI: 10.5281/zenodo.16964643
title: Data_WP4_6 Multi sensor data for personal exposure monitoring in the ULLs

description: This dataset comprises data collected through personal sensors worn by participants in cities participating in the URBANOME sensor campaigns. It contains individual-level measurements of exposure to air pollutants, environmental noise, physical activity. Data were collected during both the pre-intervention and post-intervention phases (PhaseIIa and Phaseiib), each lasting one week, enabling comparative analysis over time. The data is stored as daily aggregated individual-level measurements, allowing for comparative analysis across cities and between pre- and post-intervention periods.Data are organized in two subfolders, namely “Environmental Data” and "Activity Tracker". In the Environmental Data subfolder, files are organised by Urban Living Lab and contain, for each participant, daily average values of particulate matter concentrations (PM₁, PM₂.₅, and PM₁₀), ambient temperature, humidity, and noise levels (L_mean, L_den, and L_night) as measured by the NoiseCapture mobile application. In addition, the dataset includes an estimate of the daily intake dose of particulate matter, calculated by combining pollutant concentration data with individual time-activity patterns and estimated inhalation rates based on physical activity levels.The Activity Tracker subfolder contains data from Xiaomi Band 7 devices, also organised by ULL. For each participant, the dataset includes average daily heart rate, number of steps taken, distance covered, and sleep quality metrics, assessed via analysis of different sleep stages (deep, light, and REM sleep).Each data file in both subfolders is accompanied by a data dictionary to support variable identification and interpretation.
DOI: 10.15468/bb98dn
title: Database of Aquatic Macrophytes in Japanese lakes

description: This dataset has compiled to provide a comprehensive database of macrophytes, along with lakes and survey information from the literature, to provide a historical record macrophyte biodiversity for lakes in Japan. 
The present data contains occurrence records of 2,779 taxa, of which 2,689 have been identified at species/infraspecies (forma, variety, and subspecies), whereas the remaining 90 taxa could only be identified at the section, subgenus, genus, or higher taxonomic ranks.
The taxa consisted of 2,474 angiosperms, 33 gymnosperms, 138 pteridophytes, 45 bryophytes, and 89 algae, including green algae (charophytes, zygnematophytes, and Chlorophyta), red algae (Rhodophyceae), and brown algae (Phaeophyceae).
This dataset is published as a data paper in Ecological Research (see https://doi.org/10.1111/1440-1703.12449).
DOI: 10.15468/dl.8b3eny
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropterus salmoides (Lacepède, 1802)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 75 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022317-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vhd7y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fulvetta ludlowi",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000337-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.29949180
title: Evaluation based on distance from average solution sorting with central profiles: novel multi-criteria inventory classification in make-to-order manufacturing

description: Inventory classification in make-to-order (MTO) manufacturing requires more than traditional ABC methods, which focus mainly on cost or consumption. In environments with high customization and dynamic production, multi-criteria inventory classification offers a broader perspective by considering multiple internal and external factors. In this regard, current literature offers an array of approaches that extend multi-criteria decision-making methods to handle multi-criteria sorting problems. This study contributes to the discussion by introducing EDAS-Sort-C, a novel method that combines Evaluation based on Distance from Average Solution (EDAS) with ABC classification. Instead of limiting profiles, EDAS-Sort-C employs central profiles for each class as averages and then evaluates inventory items based on the computational framework of EDAS. Within each class, items are also ranked by importance to facilitate the identification of more critical items. A case study in an MTO furniture firm, using six criteria and 157 inventory items, confirms the effectiveness of the proposed EDAS-Sort-C.
DOI: 10.6084/m9.figshare.29949180.v1
title: Evaluation based on distance from average solution sorting with central profiles: novel multi-criteria inventory classification in make-to-order manufacturing

description: Inventory classification in make-to-order (MTO) manufacturing requires more than traditional ABC methods, which focus mainly on cost or consumption. In environments with high customization and dynamic production, multi-criteria inventory classification offers a broader perspective by considering multiple internal and external factors. In this regard, current literature offers an array of approaches that extend multi-criteria decision-making methods to handle multi-criteria sorting problems. This study contributes to the discussion by introducing EDAS-Sort-C, a novel method that combines Evaluation based on Distance from Average Solution (EDAS) with ABC classification. Instead of limiting profiles, EDAS-Sort-C employs central profiles for each class as averages and then evaluates inventory items based on the computational framework of EDAS. Within each class, items are also ranked by importance to facilitate the identification of more critical items. A case study in an MTO furniture firm, using six criteria and 157 inventory items, confirms the effectiveness of the proposed EDAS-Sort-C.
DOI: 10.60893/figshare.adv.29885948
title: supplement Number 2

description: Bond lengths and bond angles of the parent hydrazine isomers in solvents, UV-vis Spectra excitation wavelengths, λ, and energies, E, for oscillator strength of value f{greater than or equal to}0.01 of the cyano-HDZ, Minimum required energy (eV) for isomerization.
DOI: 10.60893/figshare.adv.29885948.v1
title: supplement Number 2

description: Bond lengths and bond angles of the parent hydrazine isomers in solvents, UV-vis Spectra excitation wavelengths, λ, and energies, E, for oscillator strength of value f{greater than or equal to}0.01 of the cyano-HDZ, Minimum required energy (eV) for isomerization.