cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9z4cmq
title: Occurrence Download

description: A dataset containing 713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is Germany",
 "GadmGid is one of (DEU.7_1, DEU.11_1, DEU.1_1, DEU.12_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IsInCluster is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chorthippus vagans",
 "Year 2015-2025"
 ]
}

 The dataset includes 713 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022283-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgj3a9
title: Occurrence Download

description: A dataset containing 62588 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sagittarius serpentarius"
 ]
}

 The dataset includes 62588 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022248-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17771932
title: DMP: Temporal Context in Computer Vision Detection Model
title: Evaluating Temporal Context for Robustness to Perturbations in Video Object Detection Models

description: This dataset contains evaluation results, model artefacts and analysis outputs from experiments investigating the impact of temporal context on robustness to visual perturbations in video object detection. Models based on YOLOV-Swin and YOLOX architectures were trained using PyTorch on the VisDrone dataset (public, CC BY-NC-SA 3.0) and evaluated under both clean conditions and simulated noise levels ranging from 10 % to 60 %. In addition, the XS-VID dataset (MIT license) was used to assess model performance in scenarios dominated by extremely small objects, enabling targeted evaluation of temporal modelling under challenging visual conditions.

The dataset includes performance metrics (mAP, mAR, inference time) in CSV format, visual performance plots, qualitative prediction examples, trained model checkpoints and summary reports. All scripts, model configurations and environment specifications required to reproduce or extend the experiments are provided in the accompanying code repository:https://github.com/mozi30/TemporalAttentionPlayground

Noise-based robustness results were generated programmatically using performance degradation models, rather than full retraining on corrupted data. Further evaluation using additional architectures such as MSDA and TransVOD is planned as future work.

This dataset is intended to support reproducible experimentation and comparative benchmarking in drone-based perception research, temporal attention modelling and robust computer vision development.
DOI: 10.5281/zenodo.17771931
title: DMP: Temporal Context in Computer Vision Detection Model
title: Evaluating Temporal Context for Robustness to Perturbations in Video Object Detection Models

description: This dataset contains evaluation results, model artefacts and analysis outputs from experiments investigating the impact of temporal context on robustness to visual perturbations in video object detection. Models based on YOLOV-Swin and YOLOX architectures were trained using PyTorch on the VisDrone dataset (public, CC BY-NC-SA 3.0) and evaluated under both clean conditions and simulated noise levels ranging from 10 % to 60 %. In addition, the XS-VID dataset (MIT license) was used to assess model performance in scenarios dominated by extremely small objects, enabling targeted evaluation of temporal modelling under challenging visual conditions.

The dataset includes performance metrics (mAP, mAR, inference time) in CSV format, visual performance plots, qualitative prediction examples, trained model checkpoints and summary reports. All scripts, model configurations and environment specifications required to reproduce or extend the experiments are provided in the accompanying code repository:https://github.com/mozi30/TemporalAttentionPlayground

Noise-based robustness results were generated programmatically using performance degradation models, rather than full retraining on corrupted data. Further evaluation using additional architectures such as MSDA and TransVOD is planned as future work.

This dataset is intended to support reproducible experimentation and comparative benchmarking in drone-based perception research, temporal attention modelling and robust computer vision development.
DOI: 10.18750/massbalance.2025.r2025
title: Swiss Glacier Mass Balance (release 2025)

description: Direct measurements of glacier mass balance - the sum of snow accumulation and snow/ice melt - are carried out on selected glaciers in Switzerland. Based on point observations, typically acquired in April/May and September, glacier-wide quantities of seasonal mass balance (winter/summer/annual) are evaluated, expressed as a an area-averaged value of water eqivalent. The dataset contains all available observations up to present and is delivered as four separate .csv files with results both for the exact measurement periods (observation, varying between the years) and the hydrological year (fixdate), as well as for glacier-wide quantities and for individual elevation bins.
DOI: 10.34894/j8z8wv
title: HSN Gazetteer (IISG-LINKS dataset Nederlandse toponiemen spatio-temporeel, 1812-2012)
title: IISG-LINKS dataset Nederlandse toponiemen spatio-temporeel, 1812-2012

description: Gazetteer based on places mentioned on Dutch civil registers
DOI: 10.6084/m9.figshare.25911430
title: Supplementary Material for: TES and SLC40A1 as potential biomarkers for predicting survival in T-cell acute lymphoblastic leukemia

description: Background: Identifying patients with high-risk T-cell acute lymphoblastic leukemia (T-ALL) is crucial for personalized therapy, however, the lack of robust biomarkers hinders prognosis assessment. To address this issue, our study aimed to screen and validate genes whose expression may serve as predictive indicators of outcomes in T-ALL patients, while also investigating the underlying molecular mechanisms. Methods: Differentially expressed genes (DEGs) between T-ALL patients and healthy controls were identified by integrating data from three independent public datasets. Functional annotation of these DEGs and protein-protein interaction were also conducted. Further, we enrolled a prospective cohort of T-ALL patients (n=20) at our center, conducting RNA-seq analysis on their bone marrow samples. Survival-based Univariate Cox Analysis was employed to identify gene expressions related to survival, and an intersection algorithm was sequentially applied. Furthermore, we validated the identified genes using cases from the Therapeutically Applicable Research to Generate Effective Treatments database, plotting Kaplan-Meier curves for secondary validation. Results: Through the integration of survival-related genes with DEGs identified in T-ALL, our analysis revealed six T-ALL-specific genes, the expression levels of which were linked to prognostic value. Notably, the independent prognostic value of SLC40A1 and TES expression levels was confirmed in both an external cohort and a prospective cohort at our center. Conclusions: In summary, our preliminary study indicates that the expression levels of TES and SLC40A1 genes show promise as potential indicators for predicting survival outcomes in T-ALL patients.
DOI: 10.15468/dl.9p33ss
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astreopora expansa (Brüggemann, 1877)"
 ]
}

 The dataset includes 68 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.my4xh5
title: Occurrence Download

description: A dataset containing 10556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((88.49685 20.32268,88.22358 16.82301,91.01226 7.83447,93.96995 5.90489,94.64599 8.08554,94.30797 11.99566,93.12489 15.93118,90.25171 21.84461,89.91369 23.2494,90.58973 24.10071,91.85731 23.32702,91.35028 21.60911,92.27984 19.55234,92.95588 21.45189,94.05445 23.09402,95.32203 24.56271,94.815 26.01438,96.67412 26.69587,98.19521 27.97202,97.09664 29.01178,96.50511 29.89477,94.98401 29.45424,94.30797 27.82265,92.19533 27.29824,89.57567 27.37331,88.89962 28.41889,87.63204 27.82265,87.20952 26.54478,85.43491 26.69587,84.25183 27.44833,82.56172 27.44833,80.36458 28.78984,81.37865 30.18739,80.70261 30.98759,79.18151 31.78114,79.94206 33.48895,79.097 34.81759,78.58997 35.85164,77.15338 35.37073,75.20976 35.02546,73.60416 35.02546,73.51965 33.84062,74.3647 32.35403,73.85767 31.34912,73.09712 30.18739,71.91405 28.71576,70.81548 29.01178,69.04087 27.59821,69.46339 26.16617,70.22394 24.63954,67.73413 25.18587,67.22357 23.32403,71.30804 16.93663,73.52046 12.16106,75.05214 6.28425,79.13661 7.63568,80.15773 10.49241,81.85959 14.47939,84.58257 17.09937,88.49685 20.32268))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 10556 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079384-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkydmy
title: Occurrence Download

description: A dataset containing 5520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coryphantha (Engelm.) Lem."
 ]
}

 The dataset includes 5520 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026908-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58eaxq
title: Occurrence Download

description: A dataset containing 2320 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physalis lagascae Roem. & Schult."
 ]
}

 The dataset includes 2320 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297123-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hj9rqk
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diglossa venezuelensis Chapman, 1925"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0328179-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5jmfw
title: Occurrence Download

description: A dataset containing 70976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.49707 4.87793,-80.63965 2.59277,-83.18848 -1.01074,-83.97949 -8.56934,-73.6084 -22.19238,-80.37598 -35.46387,-82.39746 -57.34863,-63.76465 -59.19434,-54.97559 -53.04199,-31.24512 -16.74316,-29.39941 -5.05371,-56.55762 10.15137,-73.95996 14.10645,-79.49707 4.87793))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tyrannus savana Vieillot, 1808"
 ]
}

 The dataset includes 70976 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057314-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zszhz
title: Occurrence Download

description: A dataset containing 94755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1000-2019",
 "HasCoordinate is true",
 "TaxonKey is Plethodon cinereus (Green, 1818)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 94755 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026937-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pctszb
title: Occurrence Download

description: A dataset containing 717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boa constrictor Linnaeus, 1758"
 ]
}

 The dataset includes 717 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297133-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u549y6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Geometry MULTIPOLYGON (((166.85057 -11.69699, 166.84437 -11.69749, 166.83327 -11.69469, 166.80187 -11.68389, 166.79357 -11.67859, 166.78947 -11.67389, 166.74407 -11.61079, 166.74027 -11.60219, 166.75807 -11.58279, 166.76137 -11.57949, 166.76557 -11.57669, 166.77107 -11.57529, 166.77637 -11.57529, 166.78747 -11.57529, 166.80607 -11.57329, 166.82667 -11.57329, 166.83797 -11.57529, 166.86217 -11.58529, 166.86637 -11.58809, 166.92107 -11.64779, 166.93187 -11.66719, 166.93277 -11.67059, 166.93137 -11.67329, 166.91557 -11.68469, 166.91137 -11.68609, 166.87937 -11.69279, 166.85057 -11.69699)), ((166.53527 -11.36389, 166.51947 -11.36829, 166.51467 -11.36779, 166.49747 -11.35779, 166.49407 -11.35449, 166.49217 -11.34969, 166.49137 -11.34359, 166.48717 -11.30469, 166.48857 -11.29389, 166.49137 -11.28309, 166.51807 -11.27109, 166.54417 -11.27499, 166.56327 -11.28169, 166.56607 -11.28449, 166.57497 -11.29859, 166.58057 -11.32419, 166.57777 -11.32809, 166.56047 -11.34889, 166.55717 -11.35169, 166.53527 -11.36389)), ((166.13997 -10.76109, 166.11247 -10.77529, 166.06387 -10.79469, 166.05827 -10.79609, 166.00967 -10.78889, 166.00417 -10.78749, 165.97807 -10.77249, 165.97277 -10.77139, 165.96717 -10.77139, 165.95557 -10.77999, 165.89667 -10.85329, 165.88307 -10.87359, 165.83077 -10.84809, 165.80967 -10.85419, 165.80417 -10.85279, 165.80137 -10.84859, 165.78077 -10.81499, 165.77747 -10.80499, 165.77807 -10.76529, 165.78137 -10.76199, 165.80887 -10.73499, 165.88697 -10.68249, 165.89857 -10.67499, 165.90417 -10.67359, 165.91027 -10.67309, 166.04747 -10.66499, 166.15357 -10.67499, 166.16107 -10.68109, 166.16577 -10.69919, 166.14467 -10.75249, 166.14277 -10.75719, 166.13997 -10.76109)), ((167.203874 -9.963593, 167.197774 -9.963593, 167.193574 -9.961094, 167.190274 -9.956993, 167.188274 -9.953093, 167.186874 -9.947494, 167.188274 -9.942194, 167.194474 -9.941394, 167.200574 -9.944693, 167.207974 -9.950793, 167.209974 -9.955594, 167.208874 -9.961094, 167.203874 -9.963593)), ((167.127774 -9.880793, 167.121574 -9.881393, 167.115474 -9.880793, 167.110774 -9.878593, 167.107174 -9.875293, 167.107974 -9.869193, 167.113574 -9.866694, 167.120274 -9.866694, 167.126374 -9.867194, 167.130474 -9.869993, 167.134174 -9.873294, 167.131874 -9.878094, 167.127774 -9.880793)), ((167.103274 -9.851693, 167.097774 -9.853093, 167.092174 -9.851693, 167.089374 -9.847494, 167.096874 -9.843094, 167.108574 -9.840794, 167.110774 -9.845593, 167.103274 -9.851693)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083881-200221144449610/datasets/export for details.
DOI: 10.15468/dl.ne57d7
title: Occurrence Download

description: A dataset containing 133512 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Azolla nilotica Decne. ex Mett., Azolla pinnata R.Br., Cynodon dactylon (L.) Pers., Cyperus esculentus L., Cyperus papyrus L.)"
 ]
}

 The dataset includes 133512 records from 996 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076729-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pi2x2j
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cumulopuntia F.Ritter"
 ]
}

 The dataset includes 916 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026911-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3drfqr
title: Occurrence Download

description: A dataset containing 12991 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthurus olivaceus Bloch & Schneider, 1801"
 ]
}

 The dataset includes 12991 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032612-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zh64m
title: Occurrence Download

description: A dataset containing 9779 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis lambertii"
 ]
}

 The dataset includes 9779 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041855-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30073282
title: Supplementary Material for: The Impact of Change in Body Roundness Index on the Clinical Outcome of New Peritoneal Dialysis Patients

description: Background: Weight gain and central obesity are common in peritoneal dialysis (PD) patients. In the general population, Body Roundness Index (BRI) has been found to be a convenient anthropometric measurement for the assessment of central obesity and visceral adiposity. However, the role of BRI in PD patients has not been explored. Method: We recruited 145 new PD patients. BRI, body composition by bioimpedance spectroscopy, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) were measured at baseline and then after one year of PD. Patients were stratified into four groups based on their changes in BRI after 1 year of PD, using the traditional BRI cutoff of 5. Outcome measures include patient survival and hospitalization rate. Results: The change in BRI after one year of PD had a modest but significant correlation with the change in HOMA-IR (r = 0.497, p = 0.041). For the group with baseline BRI &lt;5, patients who had their BRI rose to ≥5 (low-high group, n = 20) had significantly lower patient and technique survival rates than those whose BRI remained &lt;5 (low-low group, n = 55), and the result remained significant after adjusting for clinical confounders by multi-variable Cox regression (adjusted hazard ratio 2.885, 95%CI 1.278-6.509, p = 0.011). The low-high group also had significantly higher hospitalization rates (2.51 [1.63-3.93] vs 0.98 [0.26-1.91] per year, p = 0.0008) and longer hospitalization stay (17.3 [12.2-35.5] vs 5.0 [1.0-13.3] days per year, p = 0.015) than the low-low group. Conclusion: An increase in BRI after one year of PD was associated with worsening of insulin resistance, worse patient survival, and more hospitalization.
DOI: 10.6084/m9.figshare.30073282.v1
title: Supplementary Material for: The Impact of Change in Body Roundness Index on the Clinical Outcome of New Peritoneal Dialysis Patients

description: Background: Weight gain and central obesity are common in peritoneal dialysis (PD) patients. In the general population, Body Roundness Index (BRI) has been found to be a convenient anthropometric measurement for the assessment of central obesity and visceral adiposity. However, the role of BRI in PD patients has not been explored. Method: We recruited 145 new PD patients. BRI, body composition by bioimpedance spectroscopy, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) were measured at baseline and then after one year of PD. Patients were stratified into four groups based on their changes in BRI after 1 year of PD, using the traditional BRI cutoff of 5. Outcome measures include patient survival and hospitalization rate. Results: The change in BRI after one year of PD had a modest but significant correlation with the change in HOMA-IR (r = 0.497, p = 0.041). For the group with baseline BRI &lt;5, patients who had their BRI rose to ≥5 (low-high group, n = 20) had significantly lower patient and technique survival rates than those whose BRI remained &lt;5 (low-low group, n = 55), and the result remained significant after adjusting for clinical confounders by multi-variable Cox regression (adjusted hazard ratio 2.885, 95%CI 1.278-6.509, p = 0.011). The low-high group also had significantly higher hospitalization rates (2.51 [1.63-3.93] vs 0.98 [0.26-1.91] per year, p = 0.0008) and longer hospitalization stay (17.3 [12.2-35.5] vs 5.0 [1.0-13.3] days per year, p = 0.015) than the low-low group. Conclusion: An increase in BRI after one year of PD was associated with worsening of insulin resistance, worse patient survival, and more hospitalization.
DOI: 10.6084/m9.figshare.30073267
title: The Open Music Observatory at the Intersection of Open Science, Open Data, and Music Industry Workflows

description: This Venn diagram shows how the Open Music Observatory (OMO) bridges three domains: (i) the European Open Science Cloud (EOSC), (ii) public sector information reuse and open data, and (iii) collective management and industry workflows such as publishers, labels, and Unlabel. Situated within the European Interoperability Framework, OMO demonstrates how cultural data spaces can integrate scientific, public, and commercial data sources.
DOI: 10.6084/m9.figshare.30073267.v1
title: The Open Music Observatory at the Intersection of Open Science, Open Data, and Music Industry Workflows

description: This Venn diagram shows how the Open Music Observatory (OMO) bridges three domains: (i) the European Open Science Cloud (EOSC), (ii) public sector information reuse and open data, and (iii) collective management and industry workflows such as publishers, labels, and Unlabel. Situated within the European Interoperability Framework, OMO demonstrates how cultural data spaces can integrate scientific, public, and commercial data sources.
DOI: 10.15468/dl.u58thv
title: Occurrence Download

description: A dataset containing 28738 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis campestris"
 ]
}

 The dataset includes 28738 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041857-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.