cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18312689
title: Sinningia tubiflora (Hook.) Fritsch. 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.18312690
title: Sinningia tubiflora (Hook.) Fritsch. 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: 10.15468/dl.9a688m
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyperodapedon"
 ]
}

 The dataset includes 209 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002742-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qewj4x
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.322 2.183179, 103.251687 2.177611, 103.183106 2.161043, 103.117948 2.133883, 103.057818 2.096801, 103.004197 2.050711, 102.958406 1.996748, 102.921571 1.936241, 102.8946 1.870682, 102.878154 1.801684, 102.872639 1.730946, 102.878187 1.660212, 102.894662 1.591221, 102.921657 1.525673, 102.958507 1.465181, 103.004304 1.411234, 103.057919 1.36516, 103.118034 1.328093, 103.183168 1.300945, 103.251719 1.284384, 103.322 1.278818, 103.392281 1.284384, 103.460832 1.300945, 103.525966 1.328093, 103.586081 1.36516, 103.639696 1.411234, 103.685493 1.465181, 103.722343 1.525673, 103.749338 1.591221, 103.765813 1.660212, 103.771361 1.730946, 103.765846 1.801684, 103.7494 1.870682, 103.722429 1.936241, 103.685594 1.996748, 103.639803 2.050711, 103.586182 2.096801, 103.526052 2.133883, 103.460894 2.161043, 103.392313 2.177611, 103.322 2.183179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002743-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pg4wdn
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia tetrasperma, Vicia tetrasperma, Vicia tetrasperma, Ervum tetraspermum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 133 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002744-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14904324
title: A global dataset of helium isotopic data in tectonically and hydrothermally active geological environments

description: We present a dataset of helium isotopic composition of present-day fluids released in hydrothermal and tectonically active areas. Building on two global compilations published in 2006 and 2015, we have systematically reviewed the peer‑reviewed international literature to assemble a comprehensive collection of data published up to 2024. This dataset provides a foundation for investigating potential global and macro-regional correlations with key geological and geophysical parameters, thereby advancing our understanding of the role of fluids in diverse geodynamic processes.

A dedicated website (https://hedb.cnr.it/) hosts the current version of the database and its future updates. Through a downloadable submission form available on the site, interested researchers are invited to contribute by adding new datasets or by providing updates and corrections to existing records, ensuring the maintenance and the continuous improvement of the database.
DOI: 10.5281/zenodo.14904325
title: A global dataset of helium isotopic data in tectonically and hydrothermally active geological environments

description: We present a dataset of helium isotopic composition of present-day fluids released in hydrothermal and tectonically active areas. Building on two global compilations published in 2006 and 2015, we have systematically reviewed the peer‑reviewed international literature to assemble a comprehensive collection of data published up to 2024. This dataset provides a foundation for investigating potential global and macro-regional correlations with key geological and geophysical parameters, thereby advancing our understanding of the role of fluids in diverse geodynamic processes.

A dedicated website (https://hedb.cnr.it/) hosts the current version of the database and its future updates. Through a downloadable submission form available on the site, interested researchers are invited to contribute by adding new datasets or by providing updates and corrections to existing records, ensuring the maintenance and the continuous improvement of the database.
DOI: 10.15468/dl.d2rtt7
title: Occurrence Download

description: A dataset containing 96722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "GadmGid is CHN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 96722 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002694-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdb9by
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.8 -1.227818, 103.729721 -1.233384, 103.661171 -1.249945, 103.596038 -1.277093, 103.535925 -1.314161, 103.48231 -1.360235, 103.436515 -1.414182, 103.399667 -1.474674, 103.372673 -1.540223, 103.356198 -1.609213, 103.350651 -1.679948, 103.356167 -1.750685, 103.372612 -1.819683, 103.399583 -1.885243, 103.436417 -1.945749, 103.482207 -1.999712, 103.535826 -2.045802, 103.595954 -2.082884, 103.66111 -2.110043, 103.729689 -2.126611, 103.8 -2.13218, 103.870311 -2.126611, 103.93889 -2.110043, 104.004046 -2.082884, 104.064174 -2.045802, 104.117793 -1.999712, 104.163583 -1.945749, 104.200417 -1.885243, 104.227388 -1.819683, 104.243833 -1.750685, 104.249349 -1.679948, 104.243802 -1.609213, 104.227327 -1.540223, 104.200333 -1.474674, 104.163485 -1.414182, 104.11769 -1.360235, 104.064075 -1.314161, 104.003962 -1.277093, 103.938829 -1.249945, 103.870279 -1.233384, 103.8 -1.227818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002745-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh9bd4
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((180 -44.3,173 -44.3,173 -47.5,170 -47.5,157 -47.5,157 -45.9,150 -45.9,150 -47.5,143 -47.5,143 -45.8,140 -45.8,140 -44.5,137 -44.5,137 -43,135 -43,135 -41.7,131 -41.7,131 -40.1,115 -40.1,92 -40.1,92 -41.4,78 -41.4,78 -42.3,69 -42.3,69 -43.3,47 -43.3,47 -41.7,30 -41.7,12 -41.7,12 -40.3,10 -40.3,10 -38.3,-5 -38.3,-5 -38.9,-9 -38.9,-9 -40.2,-13 -40.2,-13 -41.4,-21 -41.4,-21 -42.5,-39 -42.5,-39 -40.7,-49 -40.7,-49 -48.6,-54 -48.6,-54 -55.7,-62.7972582608082 -55.7,-64 -55.7,-64 -57.8,-71 -57.8,-71 -58.9,-80 -58.9,-80 -40,-125 -40,-167 -40,-167 -42.6,-171 -42.6,-171 -44.3,-180 -44.3,-180 -90, 0 -90,180 -90,180 -44.3))",
 "SamplingProtocol is one of (camera, camera grab)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002746-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18312636
title: Pengaruh Cancel Culture Dataset

description: Pengaruh Cancel Culture Dataset
DOI: 10.5281/zenodo.18312637
title: Pengaruh Cancel Culture Dataset

description: Pengaruh Cancel Culture Dataset
DOI: 10.6084/m9.figshare.31095871
title: Data Set to: In vitro investigation of electrospun PVDF-TrFE fiber mats to reduce connective tissue growth after cochlear implantation

description: Cochlear implant electrodes are frequently ensheathed by connective tissue as a consequence of surgical trauma and the foreign body response, which can impair electrical stimulation. In this study fiber mats fabricated by electrospinning with three different spinning times (15, 30 and 45 minutes) were evaluated for their suitability as surface modifications for cochlear implant electrodes to reduce connective tissue-induced insulation after implantation. Their biocompatibility was assessed through incubation with an extract solution generated from the fiber mat using two different cells types and methods. The influence of the three different polymeric structure on electrical conductivity was examined by coating SEM-Holders and measuring changes in impedance. In addition, the wetting behavior of the fiber mats was monitored over the course of three weeks. Cell proliferation was further investigated by directly seeding NIH/3T3 eGFP fibroblasts onto the fiber mats and documenting their growth over a period of seven days. The fiber mats were considered biocompatible, although incubation with 100% extract resulted in decreased cell viability in NIH/3T3 fibroblasts. Impedance values increased with increasing fiber mat thickness. Wetting behavior was independent of mat thickness, occurring primarily within the first 24 hours and reaching a plateau after 1–2 weeks of immersion in physiological sodium chloride solution. Although cell proliferation was reduced on the fiber mat compared to the conventional cell culture substrate after the seven days of incubation, cell growth was delayed rather than completely inhibited. Overall, surface modification of cochlear implant electrodes with electrospun fiber mats shows potential to mitigate electrode insulation caused by connective tissue formation.
DOI: 10.6084/m9.figshare.31095871.v1
title: Data Set to: In vitro investigation of electrospun PVDF-TrFE fiber mats to reduce connective tissue growth after cochlear implantation

description: Cochlear implant electrodes are frequently ensheathed by connective tissue as a consequence of surgical trauma and the foreign body response, which can impair electrical stimulation. In this study fiber mats fabricated by electrospinning with three different spinning times (15, 30 and 45 minutes) were evaluated for their suitability as surface modifications for cochlear implant electrodes to reduce connective tissue-induced insulation after implantation. Their biocompatibility was assessed through incubation with an extract solution generated from the fiber mat using two different cells types and methods. The influence of the three different polymeric structure on electrical conductivity was examined by coating SEM-Holders and measuring changes in impedance. In addition, the wetting behavior of the fiber mats was monitored over the course of three weeks. Cell proliferation was further investigated by directly seeding NIH/3T3 eGFP fibroblasts onto the fiber mats and documenting their growth over a period of seven days. The fiber mats were considered biocompatible, although incubation with 100% extract resulted in decreased cell viability in NIH/3T3 fibroblasts. Impedance values increased with increasing fiber mat thickness. Wetting behavior was independent of mat thickness, occurring primarily within the first 24 hours and reaching a plateau after 1–2 weeks of immersion in physiological sodium chloride solution. Although cell proliferation was reduced on the fiber mat compared to the conventional cell culture substrate after the seven days of incubation, cell growth was delayed rather than completely inhibited. Overall, surface modification of cochlear implant electrodes with electrospun fiber mats shows potential to mitigate electrode insulation caused by connective tissue formation.
DOI: 10.15468/dl.urgb2s
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tabanus budda",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002747-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvzexf
title: Occurrence Download

description: A dataset containing 3573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vincetoxicum hirundinaria, Vincetoxicum officinale, Cynanchum vincetoxicum, Cynanchum vincetoxicum, Cynanchum laxum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 3573 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002749-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdq4yv
title: Occurrence Download

description: A dataset containing 2109 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.648 2.191179, 103.577686 2.185611, 103.509105 2.169043, 103.443947 2.141883, 103.383816 2.104801, 103.330195 2.058711, 103.284404 2.004748, 103.247569 1.944241, 103.220598 1.878681, 103.204152 1.809683, 103.198637 1.738946, 103.204185 1.668212, 103.220661 1.599221, 103.247656 1.533673, 103.284506 1.473181, 103.330302 1.419234, 103.383918 1.37316, 103.444033 1.336093, 103.509168 1.308945, 103.577719 1.292384, 103.648 1.286818, 103.718281 1.292384, 103.786832 1.308945, 103.851967 1.336093, 103.912082 1.37316, 103.965698 1.419234, 104.011494 1.473181, 104.048344 1.533673, 104.075339 1.599221, 104.091815 1.668212, 104.097363 1.738946, 104.091848 1.809683, 104.075402 1.878681, 104.048431 1.944241, 104.011596 2.004748, 103.965805 2.058711, 103.912184 2.104801, 103.852053 2.141883, 103.786895 2.169043, 103.718314 2.185611, 103.648 2.191179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2109 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002748-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1594
title: Soil, infiltration and above-ground biomass data for agroforestry at Shillingford, UK, 2023

description: Soil, above ground biomass and infiltration data collected from agroforestry fields and an adjacent, treeless control field at Shillingford, Devon in May 2023. Agroforestry tree rows were planted at 12m (2002) and 24m (2012) spacing. Sampling was undertaken in four locations relative to tree rows – in line with tree rows at center of row and 1m from nearest tree, perpendicular to tree rows and 1m from nearest tree (0.5m from alley edge in tree row), perpendicular to tree rows and 2m from nearest treee (0.5m from alley edge in alley) and in centre of alley. Soil was sampled at three intervals between 0 and 50cm depth. Tree height and DBH data were measured on five trees each selected at random from two tree rows in each agroforestry field. Infiltration data was collected at the same sample locations as soil data.
DOI: 10.15468/dl.evux9q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.938 -1.226818, 112.867721 -1.232384, 112.799171 -1.248945, 112.734038 -1.276093, 112.673925 -1.313161, 112.62031 -1.359235, 112.574515 -1.413182, 112.537667 -1.473674, 112.510673 -1.539223, 112.494199 -1.608213, 112.488651 -1.678948, 112.494167 -1.749685, 112.510612 -1.818683, 112.537583 -1.884243, 112.574417 -1.944749, 112.620207 -1.998712, 112.673826 -2.044802, 112.733955 -2.081884, 112.79911 -2.109043, 112.867689 -2.125611, 112.938 -2.13118, 113.008311 -2.125611, 113.07689 -2.109043, 113.142045 -2.081884, 113.202174 -2.044802, 113.255793 -1.998712, 113.301583 -1.944749, 113.338417 -1.884243, 113.365388 -1.818683, 113.381833 -1.749685, 113.387349 -1.678948, 113.381801 -1.608213, 113.365327 -1.539223, 113.338333 -1.473674, 113.301485 -1.413182, 113.25569 -1.359235, 113.202075 -1.313161, 113.141962 -1.276093, 113.076829 -1.248945, 113.008279 -1.232384, 112.938 -1.226818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002750-260119153935675/datasets/export for details.
DOI: 10.17028/rd.lboro.31095883
title: Supplementary information files for "Autonomous in silico optimization framework for high-performance micromixers"

description: Supplementary files for article "Autonomous in silico optimization framework for high-performance micromixers"<br><br>Effective mixing at the microscale is essential for lab-on-a-chip systems, yet designing micromixers that achieve both high mixing efficiency and low pressure drop remains challenging and resource-intensive. Here, we introduce an autonomous in silico framework for designing obstacle-based micromixers through integrating 3D geometry generation, computational fluid dynamics (CFD) simulations and a multi-objective artificial intelli?gence optimization algorithm within a fully automated close-loop workflow. A constraint-aware NSGA-II variant is used, incorporating a repair operator to ensure design feasibility. Experimentally validated against hyper?spectral imaging-based mixing characterization and pressure-drop measurements, the framework eliminates manual trial-and-error workload and alleviates researchers from the tedious tasks of navigating across 3D modeling, CFD simulations, and optimization algorithms, reducing optimization time by 48% compared to the conventional simulation-assisted approach. By autonomously screening hundreds of designs, it identifies Pareto?optimal micromixers and generates an extensive database that supports inverse design and reveals the mixing structure-performance relationship, facilitating the establishment of general design guidelines. The framework is generally applicable to a wide range of passive micromixers.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.31095883.v1
title: Supplementary information files for "Autonomous in silico optimization framework for high-performance micromixers"

description: Supplementary files for article "Autonomous in silico optimization framework for high-performance micromixers"<br><br>Effective mixing at the microscale is essential for lab-on-a-chip systems, yet designing micromixers that achieve both high mixing efficiency and low pressure drop remains challenging and resource-intensive. Here, we introduce an autonomous in silico framework for designing obstacle-based micromixers through integrating 3D geometry generation, computational fluid dynamics (CFD) simulations and a multi-objective artificial intelli?gence optimization algorithm within a fully automated close-loop workflow. A constraint-aware NSGA-II variant is used, incorporating a repair operator to ensure design feasibility. Experimentally validated against hyper?spectral imaging-based mixing characterization and pressure-drop measurements, the framework eliminates manual trial-and-error workload and alleviates researchers from the tedious tasks of navigating across 3D modeling, CFD simulations, and optimization algorithms, reducing optimization time by 48% compared to the conventional simulation-assisted approach. By autonomously screening hundreds of designs, it identifies Pareto?optimal micromixers and generates an extensive database that supports inverse design and reveals the mixing structure-performance relationship, facilitating the establishment of general design guidelines. The framework is generally applicable to a wide range of passive micromixers.<br><br>© The Author(s), CC BY 4.0
DOI: 10.15468/dl.xhch4q
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tabanus chrysurus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 476 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002751-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.