cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17527224
title: Data Repository for Sea Surface Temperature Impacts in the Presence of Wind Stress Perturbations

description: This dataset contains compressed model output files used for the analysis and figure generation for a manuscript submitted to JGR: Oceans entitled "Sea Surface Temperature Impacts in the Presence of Wind Stress Perturbations". Zipped folders correspond to both ROMS and COAWST dataset outputs that are referred to in the associated GitHub meta-repository. Datasets are saved in multiple formats, including NetCDF, csv files, and python numpy data objects.
DOI: 10.5281/zenodo.17527225
title: Data Repository for Sea Surface Temperature Impacts in the Presence of Wind Stress Perturbations

description: This dataset contains compressed model output files used for the analysis and figure generation for a manuscript submitted to JGR: Oceans entitled "Sea Surface Temperature Impacts in the Presence of Wind Stress Perturbations". Zipped folders correspond to both ROMS and COAWST dataset outputs that are referred to in the associated GitHub meta-repository. Datasets are saved in multiple formats, including NetCDF, csv files, and python numpy data objects.
DOI: 10.5281/zenodo.17665331
title: The_Tangible_Multiverse__A_Scale_Invariant__Self_Similar_Ontology_from_Planck_Scale_Observers_to_Biosemiotic_Systems
DOI: 10.5281/zenodo.17665332
title: The_Tangible_Multiverse__A_Scale_Invariant__Self_Similar_Ontology_from_Planck_Scale_Observers_to_Biosemiotic_Systems
DOI: 10.15468/dl.4y8wa3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GadmGid is PER.3_1",
 "TaxonKey is Caiophora"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001314-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4247p
title: Occurrence Download

description: A dataset containing 62473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abudefduf saxatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 62473 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001298-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu6nnj
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meleagris gallopavo",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048927-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we2r8v
title: Occurrence Download

description: A dataset containing 202918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Year is 1995"
 ]
}

 The dataset includes 202918 records from 734 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003639-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9u8qu
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyphessobrycon loretoensis Ladiges, 1938"
 ]
}

 The dataset includes 122 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009569-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqmjyc
title: Occurrence Download

description: A dataset containing 2052 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urania fulgens Walker, 1854"
 ]
}

 The dataset includes 2052 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009570-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c534tp
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rottboellia cochinchinensis (Lour.) Clayton",
 "Country is Eswatini"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009571-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tx45q
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia stricta",
 "Country is Saudi Arabia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 561 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024413-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99r36y
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia stricta",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 245 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024412-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jbhpc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024411-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.15470658
title: Supplementary Tables
DOI: 10.5281/zenodo.15470659
title: Supplementary Tables
DOI: 10.15468/dl.4ztx5q
title: Occurrence Download

description: A dataset containing 1174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sandoricum koetjape (Burm.fil.) Merr.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1174 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009346-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5h834
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Papio Erxleben, 1777"
 ]
}

 The dataset includes 441 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015400-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtqtv3
title: Occurrence Download

description: A dataset listing the 367 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-7.87225 44.00345,-9.72539 43.1792,-9.23189 41.66261,-6.90539 41.71526,-6.82482 43.66928,-7.87225 44.00345))",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "Year 2022-2025"
 ]
}

 The dataset's 367 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011681-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/efa.archives.251230
title: Amathonte-Y418-Édifice à fronton, angle est

description: Référence : Y418<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251231
title: Amathonte-Y423-Édifice à fronton angle nord

description: Référence : Y423<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251232
title: Amathonte-Y391-Édifice à fronton angle nord

description: Référence : Y391<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251233
title: Amathonte-Y415-Édifice à fronton, entrée

description: Référence : Y415<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251234
title: Amathonte-Y429-Édifice à fronton, fronton sud-est reconstitué

description: Référence : Y429<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251235
title: Amathonte-Y430-Édifice à fronton, fronton sud-est reconstitué

description: Référence : Y430<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.15468/dl.ue9tg5
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.1288 45.86405,5.12741 45.86096,5.13462 45.86052,5.14499 45.86237,5.15107 45.86184,5.15398 45.86158,5.16764 45.86035,5.17295 45.8607,5.17257 45.86431,5.15474 45.86634,5.14891 45.86565,5.13791 45.86592,5.1288 45.86405))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2016-2026"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002910-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18309701
title: Data Set - Tolerability of 161Tb‑ and 177Lu‑labeled somatostatin analogues
DOI: 10.5281/zenodo.18309702
title: Data Set - Tolerability of 161Tb‑ and 177Lu‑labeled somatostatin analogues
DOI: 10.34816/efa.archives.251236
title: Amathonte-Y431-Édifice à fronton, fronton sud-est reconstitué

description: Référence : Y431<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251237
title: Amathonte-Y420-Édifice à fronton mur nord-ouest

description: Référence : Y420<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251238
title: Amathonte-Y421-Édifice à fronton mur nord-ouest

description: Référence : Y421<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.5281/zenodo.18313559
title: Skeptrostachys gigantea (Cogn.) Garay. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18313560
title: Skeptrostachys gigantea (Cogn.) Garay. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.34816/efa.archives.251239
title: Amathonte-Y422-Édifice à fronton mur nord-ouest

description: Référence : Y422<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.5281/zenodo.17963363
title: Morphological Informality Modelled Dataset in Nairobi, Kenya

description: This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of morphological informality are related to more deprived areas.Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.
DOI: 10.6084/m9.figshare.30244795
title: Dataset for manuscript:<b> "Drought impacts on plants and microbes are moderated by leaf litter via species specific shifts in plant and soil biotic interactions"</b>

description: Prolonged drought affects plant–soil interactions, with cascading impacts on ecosystems. We conducted a pot experiment using soils collected from a field experiment in an Australian grassland where rainfall had been manipulated for seven years to test how litter mediates drought effects on plant growth, nutrient cycling, and microbial communities. Two common pasture species (<i>Plantago lanceolata</i>, forb; <i>Microlaena stipoides</i>, grass) were grown for three months in soil maintained at 70% or 40% water holding capacity, reflecting field manipulations, with or without leaf litter of the same species. Litter increased shoot biomass, but not total biomass, of both species. Further, litter increased <i>M. stipoides</i> root biomass under drought but decreased root biomass under ambient watering. Litter increased microbial biomass carbon, and drought reduced microbial biomass carbon and nitrogen, consistently across both species. Further, in <i>M. stipoides</i>, litter increased most microbial biomarkers (e.g., PLFA, NLFA), while drought increased Gram-positive and Actinobacteria. By contrast, in <i>P. lanceolata</i>, litter reduced biomarker contents under ambient conditions for Gram-positive and Actinobacteria and under drought conditions for Gram-negative, Protozoa, and Arbuscular Mycorrhizae. Across all treatments, <i>P. lanceolata</i> biomass generally showed positive associations with multiple microbial biomarkers, whereas <i>M. stipoides</i> biomass was positively related only to arbuscular mycorrhizae and negatively to other microbial biomarkers, suggesting resource competition. Litter mass loss was positively correlated with <i>M. stipoides</i> root biomass and an arbuscular mycorrhizal biomarker under drought conditions, indicating an important plant–soil biotic feedback. Our findings suggest that drought moderate plant community dynamics via species-specific changes in plant-soil biotic interactions, including feedbacks mediated by litter decomposition.
DOI: 10.6084/m9.figshare.30244795.v5
title: Dataset for manuscript:<b> "Drought impacts on plants and microbes are moderated by leaf litter via species specific shifts in plant and soil biotic interactions"</b>

description: Prolonged drought affects plant–soil interactions, with cascading impacts on ecosystems. We conducted a pot experiment using soils collected from a field experiment in an Australian grassland where rainfall had been manipulated for seven years to test how litter mediates drought effects on plant growth, nutrient cycling, and microbial communities. Two common pasture species (<i>Plantago lanceolata</i>, forb; <i>Microlaena stipoides</i>, grass) were grown for three months in soil maintained at 70% or 40% water holding capacity, reflecting field manipulations, with or without leaf litter of the same species. Litter increased shoot biomass, but not total biomass, of both species. Further, litter increased <i>M. stipoides</i> root biomass under drought but decreased root biomass under ambient watering. Litter increased microbial biomass carbon, and drought reduced microbial biomass carbon and nitrogen, consistently across both species. Further, in <i>M. stipoides</i>, litter increased most microbial biomarkers (e.g., PLFA, NLFA), while drought increased Gram-positive and Actinobacteria. By contrast, in <i>P. lanceolata</i>, litter reduced biomarker contents under ambient conditions for Gram-positive and Actinobacteria and under drought conditions for Gram-negative, Protozoa, and Arbuscular Mycorrhizae. Across all treatments, <i>P. lanceolata</i> biomass generally showed positive associations with multiple microbial biomarkers, whereas <i>M. stipoides</i> biomass was positively related only to arbuscular mycorrhizae and negatively to other microbial biomarkers, suggesting resource competition. Litter mass loss was positively correlated with <i>M. stipoides</i> root biomass and an arbuscular mycorrhizal biomarker under drought conditions, indicating an important plant–soil biotic feedback. Our findings suggest that drought moderate plant community dynamics via species-specific changes in plant-soil biotic interactions, including feedbacks mediated by litter decomposition.
DOI: 10.6084/m9.figshare.30244795.v4
title: Dataset for manuscript:<b> "Drought impacts on plants and microbes are moderated by leaf litter via species specific shifts in plant and soil biotic interactions"</b>

description: Prolonged drought affects plant–soil interactions, with cascading impacts on ecosystems. We conducted a pot experiment using soils collected from a field experiment in an Australian grassland where rainfall had been manipulated for seven years to test how litter mediates drought effects on plant growth, nutrient cycling, and microbial communities. Two common pasture species (<i>Plantago lanceolata</i>, forb; <i>Microlaena stipoides</i>, grass) were grown for three months in soil maintained at 70% or 40% water holding capacity, reflecting field manipulations, with or without leaf litter of the same species. Litter increased shoot biomass, but not total biomass, of both species. Further, litter increased <i>M. stipoides</i> root biomass under drought but decreased root biomass under ambient watering. Litter increased microbial biomass carbon, and drought reduced microbial biomass carbon and nitrogen, consistently across both species. Further, in <i>M. stipoides</i>, litter increased most microbial biomarkers (e.g., PLFA, NLFA), while drought increased Gram-positive and Actinobacteria. By contrast, in <i>P. lanceolata</i>, litter reduced biomarker contents under ambient conditions for Gram-positive and Actinobacteria and under drought conditions for Gram-negative, Protozoa, and Arbuscular Mycorrhizae. Across all treatments, <i>P. lanceolata</i> biomass generally showed positive associations with multiple microbial biomarkers, whereas <i>M. stipoides</i> biomass was positively related only to arbuscular mycorrhizae and negatively to other microbial biomarkers, suggesting resource competition. Litter mass loss was positively correlated with <i>M. stipoides</i> root biomass and an arbuscular mycorrhizal biomarker under drought conditions, indicating an important plant–soil biotic feedback. Our findings suggest that drought moderate plant community dynamics via species-specific changes in plant-soil biotic interactions, including feedbacks mediated by litter decomposition.
DOI: 10.34816/efa.archives.251240
title: Amathonte-Y390-Édifice à fronton, mur nord-ouest

description: Référence : Y390<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.5281/zenodo.17599465
title: File upload from 2025-11-13T11:16:59.910Z

description: Internet penetration has grown significantly, mobile money has revolutionized financialtransactions, and social media has connected millions of people across borders. Yet, alongsidethese opportunities lies a darker reality: the surge in digital crime. From petty scams tosophisticated financial fraud and identity theft, cybercriminal activity in Africa is on the rise.This phenomenon raises urgent questions: Why are so many young people being drawn intocybercrime? Why are African societies becoming increasingly vulnerable? And what can bedone to reverse this trend?This article explores the multiple dimensions behind the growth of digital crime in Africa,including socio-economic pressures, education gaps, cultural influences, weak institutionalframeworks, and the rapid but uneven expansion of technology. By understanding these rootcauses, we can begin to design holistic strategies that protect individuals, promote digitaltrust, and foster inclusive development.Keywords: Cybercrime in
DOI: 10.5281/zenodo.17599466
title: File upload from 2025-11-13T11:16:59.910Z

description: Internet penetration has grown significantly, mobile money has revolutionized financialtransactions, and social media has connected millions of people across borders. Yet, alongsidethese opportunities lies a darker reality: the surge in digital crime. From petty scams tosophisticated financial fraud and identity theft, cybercriminal activity in Africa is on the rise.This phenomenon raises urgent questions: Why are so many young people being drawn intocybercrime? Why are African societies becoming increasingly vulnerable? And what can bedone to reverse this trend?This article explores the multiple dimensions behind the growth of digital crime in Africa,including socio-economic pressures, education gaps, cultural influences, weak institutionalframeworks, and the rapid but uneven expansion of technology. By understanding these rootcauses, we can begin to design holistic strategies that protect individuals, promote digitaltrust, and foster inclusive development.Keywords: Cybercrime in
DOI: 10.34816/efa.archives.251241
title: Amathonte-Y399-Édifice à fronton, mur nord-ouest, structure antérieure

description: Référence : Y399<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251242
title: Amathonte-Y397-Édifice à fronton, partie sud-est reconstituée

description: Référence : Y397<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251243
title: Amathonte-Y398-Édifice à fronton, partie sud-est reconstituée

description: Référence : Y398<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.251277
title: Amathonte-Y438-Figurine, fragment, argile

description: Référence : Y438<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.251278
title: Amathonte-Y439-Figurine, fragment, argile

description: Référence : Y439<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.251279
title: Amathonte-Y440-Figurine, fragment, argile

description: Référence : Y440<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.251280
title: Amathonte-Y442-Figurine, fragment, argile

description: Référence : Y442<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.251281
title: Amathonte-Y443-Figurine, fragment, argile

description: Référence : Y443<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.251282
title: Amathonte-Y444-Figurine, fragment, argile

description: Référence : Y444<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.251283
title: Amathonte-Y445-Figurine, fragment, argile

description: Référence : Y445<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.15468/dl.u3ddyf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ochthera circularis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002911-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.