cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r7kmx8
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((94.65895 -3.26759,108.73390 -3.26759,108.73390 2.35741,94.65895 2.35741,94.65895 -3.26759))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jatropha curcas"
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002379-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4c8fmr
title: Occurrence Download

description: A dataset containing 3827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Symphytum officinale)",
 "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 3827 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002380-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18311058
title: Insights into mesenchymal stem/stromal cell conditioned media as a long-lasting treatment for pain and psychiatric comorbidities in a murine model of osteoarthritis
DOI: 10.5281/zenodo.18311059
title: Insights into mesenchymal stem/stromal cell conditioned media as a long-lasting treatment for pain and psychiatric comorbidities in a murine model of osteoarthritis
DOI: 10.15468/dl.ksq4cz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.802 -1.63382, 102.731708 -1.639386, 102.663146 -1.655946, 102.598001 -1.683092, 102.537875 -1.720158, 102.484249 -1.76623, 102.438443 -1.820175, 102.401584 -1.880665, 102.374581 -1.946212, 102.3581 -2.015201, 102.352547 -2.085935, 102.35806 -2.156673, 102.374506 -2.225671, 102.40148 -2.291232, 102.438321 -2.351739, 102.484121 -2.405704, 102.537753 -2.451796, 102.597897 -2.488879, 102.663071 -2.51604, 102.731669 -2.532609, 102.802 -2.538177, 102.872331 -2.532609, 102.940929 -2.51604, 103.006103 -2.488879, 103.066247 -2.451796, 103.119879 -2.405704, 103.165679 -2.351739, 103.20252 -2.291232, 103.229494 -2.225671, 103.24594 -2.156673, 103.251453 -2.085935, 103.2459 -2.015201, 103.229419 -1.946212, 103.202416 -1.880665, 103.165557 -1.820175, 103.119751 -1.76623, 103.066125 -1.720158, 103.005999 -1.683092, 102.940854 -1.655946, 102.872292 -1.639386, 102.802 -1.63382))"},{"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/0002382-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18310861
title: Soil invertebrate body size and effect magnitude jointly influence global soil CO₂ emissions

description: Soil invertebrates represent vital components of belowground biodiversity and play pivotal roles in regulating key carbon (C) cycling processes, particularly soil respiration. Despite the recognised effects of invertebrates on soil respiration, previous studies suffer from a major blind spot, a lack of global-scale inferred associations interpretations into how these organisms mediate C release. In this study, we integrated 556 datasets spanning 90 publications to systematically assess the global patterns and inferred associations through which soil invertebrates on soil respiration. The results revealed that soil invertebrates, on average, enhanced soil respiration by 52%. Across climatic zones, the magnitude of this positive effect tended to decline from tropical to temperate regions.  When classified by body size, among the large-bodied soil invertebrates, ants and termites increased soil respiration by 60% and 62%, respectively, whereas earthworms stimulated it by 47%. In contrast, small-to-medium-bodied soil invertebrates exerted no significant effect. Across ecosystem types, soil invertebrates stimulated soil respiration more strongly in forest ecosystems, with an increase of 55%, compared to a 44% increase in grassland ecosystems. The pathways through which soil invertebrates influence respiration varied markedly among body-size groups and ecosystem types. Overall, soil invertebrates primarily influenced soil respiration by indirectly affecting soil microbial biomass C, fungal biomass, and bacterial biomass, as well as soil organic N, soil organic C and soil pH. These findings underscore the key role of soil invertebrates in influencing soil C emissions and provide insights essential for improving Earth system models under ongoing climate change.
DOI: 10.5281/zenodo.18310862
title: Soil invertebrate body size and effect magnitude jointly influence global soil CO₂ emissions

description: Soil invertebrates represent vital components of belowground biodiversity and play pivotal roles in regulating key carbon (C) cycling processes, particularly soil respiration. Despite the recognised effects of invertebrates on soil respiration, previous studies suffer from a major blind spot, a lack of global-scale inferred associations interpretations into how these organisms mediate C release. In this study, we integrated 556 datasets spanning 90 publications to systematically assess the global patterns and inferred associations through which soil invertebrates on soil respiration. The results revealed that soil invertebrates, on average, enhanced soil respiration by 52%. Across climatic zones, the magnitude of this positive effect tended to decline from tropical to temperate regions.  When classified by body size, among the large-bodied soil invertebrates, ants and termites increased soil respiration by 60% and 62%, respectively, whereas earthworms stimulated it by 47%. In contrast, small-to-medium-bodied soil invertebrates exerted no significant effect. Across ecosystem types, soil invertebrates stimulated soil respiration more strongly in forest ecosystems, with an increase of 55%, compared to a 44% increase in grassland ecosystems. The pathways through which soil invertebrates influence respiration varied markedly among body-size groups and ecosystem types. Overall, soil invertebrates primarily influenced soil respiration by indirectly affecting soil microbial biomass C, fungal biomass, and bacterial biomass, as well as soil organic N, soil organic C and soil pH. These findings underscore the key role of soil invertebrates in influencing soil C emissions and provide insights essential for improving Earth system models under ongoing climate change.
DOI: 10.5281/zenodo.18311111
title: Sherardia L. 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.18311112
title: Sherardia L. 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.t7mje4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((132.29489 -39.97893,164.70511 -39.97893,164.70511 -27.02107,132.29489 -27.02107,132.29489 -39.97893))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudophryne corroboree",
 "Year 2015-2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002383-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.634ytv
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tanacetum corymbosum, Tanacetum corymbosum, Chrysanthemum corymbosum)",
 "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 366 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002385-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mx7en8
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-74.985 -8.223913, -75.055989 -8.229473, -75.125236 -8.246015, -75.191042 -8.273134000000001, -75.251789 -8.310162999999999, -75.305986 -8.356194, -75.352299 -8.410095999999999, -75.38958599999999 -8.470545, -75.416927 -8.536054999999999, -75.433645 -8.605016000000001, -75.439322 -8.67573, -75.433813 -8.746456, -75.41724600000001 -8.815454000000001, -75.39002600000001 -8.881023000000001, -75.35281500000001 -8.941546000000001, -75.306529 -8.99553, -75.252306 -9.041643000000001, -75.191481 -9.078747, -75.125556 -9.105924, -75.056157 -9.122503999999999, -74.985 -9.128076, -74.913843 -9.122503999999999, -74.844444 -9.105924, -74.778519 -9.078747, -74.71769399999999 -9.041643000000001, -74.663471 -8.99553, -74.61718500000001 -8.941546000000001, -74.57997400000001 -8.881023000000001, -74.55275399999999 -8.815454000000001, -74.536187 -8.746456, -74.53067799999999 -8.67573, -74.536355 -8.605016000000001, -74.553073 -8.536054999999999, -74.580414 -8.470545, -74.617701 -8.410095999999999, -74.66401399999999 -8.356194, -74.718211 -8.310162999999999, -74.778958 -8.273134000000001, -74.844764 -8.246015, -74.914011 -8.229473, -74.985 -8.223913))"},{"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 96 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002384-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zejem
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.436 -1.63282, 102.365708 -1.638386, 102.297146 -1.654946, 102.232001 -1.682092, 102.171875 -1.719158, 102.118249 -1.76523, 102.072443 -1.819175, 102.035584 -1.879665, 102.008581 -1.945212, 101.9921 -2.014201, 101.986547 -2.084935, 101.99206 -2.155673, 102.008506 -2.224671, 102.035481 -2.290232, 102.072321 -2.350739, 102.118121 -2.404704, 102.171753 -2.450796, 102.231897 -2.487879, 102.297071 -2.51504, 102.365669 -2.531609, 102.436 -2.537177, 102.506331 -2.531609, 102.574929 -2.51504, 102.640103 -2.487879, 102.700247 -2.450796, 102.753879 -2.404704, 102.799679 -2.350739, 102.836519 -2.290232, 102.863494 -2.224671, 102.87994 -2.155673, 102.885453 -2.084935, 102.8799 -2.014201, 102.863419 -1.945212, 102.836416 -1.879665, 102.799557 -1.819175, 102.753751 -1.76523, 102.700125 -1.719158, 102.639999 -1.682092, 102.574854 -1.654946, 102.506292 -1.638386, 102.436 -1.63282))"},{"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/0002386-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18304939
title: A Dataset for Multi-Stage Straightening and Bending Processes

description: This dataset provides material property data for steels 1.4310 and 1.0617 and examines the influence of different straightening strategies on their mechanical behavior. Further, it contains a data set for bending performed with this material set. Experimental investigations data set is provided for free bending and die bending. In addition, the dataset includes numerical simulation results and validation experimental data for an alternative bending process.
DOI: 10.5281/zenodo.18304940
title: A Dataset for Multi-Stage Straightening and Bending Processes

description: This dataset provides material property data for steels 1.4310 and 1.0617 and examines the influence of different straightening strategies on their mechanical behavior. Further, it contains a data set for bending performed with this material set. Experimental investigations data set is provided for free bending and die bending. In addition, the dataset includes numerical simulation results and validation experimental data for an alternative bending process.
DOI: 10.15468/dl.jdyyeb
title: Occurrence Download

description: A dataset containing 14048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhus coriaria"
 ]
}

 The dataset includes 14048 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002388-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9t8b4
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-4.38621 37.27807,-5.66979 36.58088,-5.47232 36.0904,-4.07354 36.67333,-2.55957 36.72611,-2.26336 37.31735,-4.38621 37.27807))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paeonia coriacea"
 ]
}

 The dataset's 1 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002366-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tr5nf
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-74.958 -8.192913000000001, -75.02898399999999 -8.198472000000001, -75.098225 -8.215014, -75.16402600000001 -8.242133000000001, -75.224768 -8.279163, -75.278961 -8.325194, -75.32526900000001 -8.379097, -75.362554 -8.439546, -75.389892 -8.505056, -75.40660800000001 -8.574017, -75.412285 -8.644731, -75.40677599999999 -8.715458, -75.39021099999999 -8.784454999999999, -75.36299200000001 -8.850023999999999, -75.325784 -8.910546999999999, -75.27950199999999 -8.964530999999999, -75.225283 -9.010643999999999, -75.164464 -9.047746999999999, -75.098544 -9.074925, -75.029151 -9.091504, -74.958 -9.097077000000001, -74.886849 -9.091504, -74.81745600000001 -9.074925, -74.751536 -9.047746999999999, -74.69071700000001 -9.010643999999999, -74.636498 -8.964530999999999, -74.590216 -8.910546999999999, -74.55300800000001 -8.850023999999999, -74.525789 -8.784454999999999, -74.509224 -8.715458, -74.503715 -8.644731, -74.50939200000001 -8.574017, -74.52610799999999 -8.505056, -74.55344599999999 -8.439546, -74.59073100000001 -8.379097, -74.637039 -8.325194, -74.691232 -8.279163, -74.751974 -8.242133000000001, -74.817775 -8.215014, -74.887016 -8.198472000000001, -74.958 -8.192913000000001))"},{"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 105 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002389-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wds77e
title: Occurrence Download

description: A dataset containing 962117 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is USDA United States National Fungus Collections"
 ]
}

 The dataset includes 962117 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002363-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84aprq
title: Occurrence Download

description: A dataset containing 6629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tanacetum vulgare, Chrysanthemum vulgare, Chrysanthemum vulgare, Chrysanthemum vulgare)",
 "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 6629 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002390-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18311097
title: Data Supporting: Optimizing LoRaWAN Throughput in Maritime Environments through ACM under Rayleigh Fading

description: This dataset supports the article “Optimizing LoRaWAN Throughput in Maritime Environments through Adaptive Coding and Modulation under Rayleigh Fading”.It includes simulation outputs and MATLAB source code for reproducing all figures and results in the study. Files include throughput, PER, energy efficiency, spectral efficiency, and an ACM algorithm function.
DOI: 10.15468/dl.dkprc7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((121.023 -1.63182, 120.952708 -1.637386, 120.884146 -1.653946, 120.819001 -1.681092, 120.758876 -1.718158, 120.70525 -1.76423, 120.659443 -1.818175, 120.622585 -1.878665, 120.595582 -1.944212, 120.5791 -2.013201, 120.573547 -2.083936, 120.579061 -2.154673, 120.595506 -2.223671, 120.622481 -2.289232, 120.659321 -2.34974, 120.705121 -2.403704, 120.758754 -2.449796, 120.818897 -2.486879, 120.884071 -2.51404, 120.952669 -2.530609, 121.023 -2.536177, 121.093331 -2.530609, 121.161929 -2.51404, 121.227103 -2.486879, 121.287246 -2.449796, 121.340879 -2.403704, 121.386679 -2.34974, 121.423519 -2.289232, 121.450494 -2.223671, 121.466939 -2.154673, 121.472453 -2.083936, 121.4669 -2.013201, 121.450418 -1.944212, 121.423415 -1.878665, 121.386557 -1.818175, 121.34075 -1.76423, 121.287124 -1.718158, 121.226999 -1.681092, 121.161854 -1.653946, 121.093292 -1.637386, 121.023 -1.63182))"},{"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/0002391-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18255932
title: Screening for Neurocognitive Abilities Post-COVID (SNAP-COVID): Scale Development and Validation

description:        Background. COVID-19, has drawn attention to its neurocognitive sequelae in individuals with Post-COVID Condition (PCC), yet standardized tools for screening and quantifying PCC-related cognitive impairment remain scarce. The present study aimed to develop and validate the Screening for Neurocognitive Abilities Post-COVID (SNAP-COVID) scale, a self-report instrument designed to capture current symptom burden and perceived changes in cognitive functioning relative to pre-COVID status. Methods. Data collection occurred in three phases between August 2024 and February 2025. Dataset A (N = 27) was used for test–retest reliability. Dataset B (N = 300) supported exploratory factor analysis (EFA), reliability testing, and convergent validity analyses with the Brain Fog Scale (BFS). Dataset C (N = 317) provided independent validation through confirmatory factor analysis (CFA).  Results. Initial EFA of the 30-item SNAP-COVID suggested a four-factor model, but item refinement yielded a robust three-factor, 24-item solution: (1) General Cognitive Functions (17 items, α = .948), (2) Sensory Hypersensitivity (4 items, α = .829), and (3) Language and Communication (3 items, α = .950). The total scale demonstrated excellent internal consistency (α = .95). Convergent validity was supported by significant correlations between SNAP impact scores and BFS scores (r = –.442, p < .001). CFA confirmed the three-factor structure with acceptable fit indices (χ²(249) = 677.29, p < .001; CFI = .882; TLI = .869; RMSEA = .074; SRMR = .032). Conclusions The SNAP-COVID scale is a reliable and valid instrument. Its multidimensional structure captures global and domain-specific difficulties, addressing a critical gap in post-infectious cognitive assessment.