cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16178218
title: JetLag ERA5 1941-2025 v1.0

description: The JetLag dataset provides Lagrangian jet-stream diagnostics derived from atmospheric reanalysis data. The dataset is generated using the JetLag algorithm described in Rivoire et al., 2026.

JetLag algorithm

JetLag identifies jet streams from gridded model output by computing trajectory-based Lagrangian descriptors on isentropic surfaces. Jet axes are identified as maxima in isentropic displacement, capturing the material function of jets in the atmosphere as they meander. This formulation allows robust jet identification in regimes where Eulerian definitions become ambiguous due to meandering or intermittency. Code for JetLag is available at: https://doi.org/10.5281/zenodo.18292587

Jet types included

The dataset includes diagnostics for:





Subtropical jets (STJ)




Polar-front jets (PFJ)



Both jet types are diagnosed using the same Lagrangian framework.

Available variables

The dataset includes:



latitude of tje jet axis ('lat', in degrees N)



zonal component of the wind at the jet axis ('u', in m/s)




meridional component of the wind at the jet axis ('v', in m/s)


pressure at the jet axis ('p', in hPa)


Data source

All diagnostics in this archive are computed from ERA5 reanalysis retrieved from the MARS archive: https://apps.ecmwf.int/data-catalogues/era5/?class=ea. The 6-hourly, potential temperature (levtype=pt) data were used.

Intended use

The JetLag dataset is intended for studies of large-scale atmospheric dynamics, tracer transport, and jet variability, as well as for reproducibility of analyses and figures in the associated publication. The archived version matches the data used in the reference study.
DOI: 10.5281/zenodo.16178219
title: JetLag ERA5 1941-2025 v1.0

description: The JetLag dataset provides Lagrangian jet-stream diagnostics derived from atmospheric reanalysis data. The dataset is generated using the JetLag algorithm described in Rivoire et al., 2026.

JetLag algorithm

JetLag identifies jet streams from gridded model output by computing trajectory-based Lagrangian descriptors on isentropic surfaces. Jet axes are identified as maxima in isentropic displacement, capturing the material function of jets in the atmosphere as they meander. This formulation allows robust jet identification in regimes where Eulerian definitions become ambiguous due to meandering or intermittency. Code for JetLag is available at: https://doi.org/10.5281/zenodo.18292587

Jet types included

The dataset includes diagnostics for:





Subtropical jets (STJ)




Polar-front jets (PFJ)



Both jet types are diagnosed using the same Lagrangian framework.

Available variables

The dataset includes:



latitude of tje jet axis ('lat', in degrees N)



zonal component of the wind at the jet axis ('u', in m/s)




meridional component of the wind at the jet axis ('v', in m/s)


pressure at the jet axis ('p', in hPa)


Data source

All diagnostics in this archive are computed from ERA5 reanalysis retrieved from the MARS archive: https://apps.ecmwf.int/data-catalogues/era5/?class=ea. The 6-hourly, potential temperature (levtype=pt) data were used.

Intended use

The JetLag dataset is intended for studies of large-scale atmospheric dynamics, tracer transport, and jet variability, as well as for reproducibility of analyses and figures in the associated publication. The archived version matches the data used in the reference study.
DOI: 10.15468/cvc8c7
title: DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kasparek, Max, Fateryga, Alexander V. (2023): DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia. Zootaxa 5346 (5): 567-580, DOI: 10.11646/zootaxa.5346.5.4, URL: http://dx.doi.org/10.11646/zootaxa.5346.5.4AbstractHeinrich Friese described Anthidium spiniventris [sic] from Palestine in 1899, and A. melanopygum as a “variety” of it from Turkey in 1917. While A. melanopygum was subsequently recognized as a subspecies of A. spiniventre, a morphological examination of new material of both taxa suggests that these taxa represent distinct species. This was also confirmed by genetic barcoding of the mitochondrial cytochrome c oxidase subunit 1 (COI) gene, which revealed the two taxa form distinct clades with an average genetic distance of 5.69%, while the genetic within-group distance of these two taxa was only 0.14% for A. melanopygum and 0% for A. spiniventre. Anthidium melanopygum has a wide distribution that extends from Greece and Bulgaria in the west across Turkey and Iran to Turkmenistan in the east. By contrast, A. spiniventre has a restricted, disjunct distribution with isolated populations in the southern Levant and Iran.
DOI: 10.15468/dl.jyzvdq
title: Occurrence Download

description: A dataset containing 1511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apium leptophyllum"
 ]
}

 The dataset includes 1511 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019434-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17519975
title: Moderate Electrical Muscle Stimulation During Voluntary Movement Does Not Disrupt the Sense of Agency or Ownership
DOI: 10.15468/dl.c8cmpw
title: Occurrence Download

description: A dataset containing 182526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-12-24",
 "EventDate is less than or equal to 2026-01-23",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 182526 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019425-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/37ubk2
title: The genus Orieosia Bucsek, 2012 also found in New Guinea, with description of two new species (Lepidoptera: Erebidae, Arctiinae, Lithosiini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vos, Rob De (2022): The genus Orieosia Bucsek, 2012 also found in New Guinea, with description of two new species (Lepidoptera: Erebidae, Arctiinae, Lithosiini). Zootaxa 5188 (2): 179-188, DOI: 10.11646/zootaxa.5188.2.7AbstractThe genus Orieosia Bucsek, 2012 appears to be present in New Guinea too. Four species have been discovered in New Guinea to belong to this formerly believed to be Oriental genus. Two already known species, Lambula hypopolius Rothschild, 1916 and Utriculofera tetrastigmata Rothschild, 1916, are transferred to the genus Orieosia Bucsek, 2012. Orieosia stenoptera spec. nov. and O. albigrisea spec. nov. are described as new to science. Nomenclatorial confusion with Holocraspedon hypopolius (Rothschild, 1916) is discussed.
DOI: 10.15468/92sg9n
title: Revision der Vitrea-Arten der Südkarpaten Rumäniens mit Beschreibung einer neuen Art (Gastropoda, Pulmonata, Pristilomatidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Deli, Tamás, Subai, Péter (2011): Revision der Vitrea-Arten der Südkarpaten Rumäniens mit Beschreibung einer neuen Art (Gastropoda, Pulmonata, Pristilomatidae). Contributions to Natural History 19: 1-53, DOI: 10.5169/seals-787074In this study, Romanian Vitrea species occurring in the Carpathian Mountains, are revised on the basis of shell morphological characters. One new species, Vitrea szekeresi sp. nov., is described. Distribution records are provided for V. botterii (L. PFEIFFER, 1853) and V. erjaveci (BRUSINA, 1870), which are new to the fauna of Romania. New distribution records are given for the rare troglobiont species, Troglovitrea argintarui NEGREA & RIEDEL, 1968.
DOI: 10.5281/zenodo.18295903
title: Piptochaetium ovatum (Trin.) É.Desv. 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 16:52
DOI: 10.5281/zenodo.18295904
title: Piptochaetium ovatum (Trin.) É.Desv. 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 16:52
DOI: 10.6084/m9.figshare.31083625
title: The evolutionary path of widespread IR heteroplasmy of chloroplast genomes in the context of Rhodophyta

description: Phylogenetic analyses for red algae.
DOI: 10.6084/m9.figshare.31083625.v1
title: The evolutionary path of widespread IR heteroplasmy of chloroplast genomes in the context of Rhodophyta

description: Phylogenetic analyses for red algae.
DOI: 10.15468/7br4mm
title: Taxonomy of Perissosega Krombein (Hymenoptera: Chrysididae, Amiseginae) with description of a new species from Japan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mita, Toshiharu (2022): Taxonomy of Perissosega Krombein (Hymenoptera: Chrysididae, Amiseginae) with description of a new species from Japan. Zootaxa 5169 (3): 279-285, DOI: 10.11646/zootaxa.5169.3.4AbstractPerissosega sulcata sp. nov. is newly described on the basis of the two females collected from Iriomote Island, the Ryukyus, Japan. A new combination is proposed for Calosega flavipes (Kimsey, 1995), comb. nov. from Perissosega Krombein, 1983. The diagnostic characters of Calosega Terayama, 1999 and Perissosega are revised.
DOI: 10.5281/zenodo.18295905
title: Piptochaetium ovatum var. purpurascens Hack. 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 16:52
DOI: 10.5281/zenodo.18295906
title: Piptochaetium ovatum var. purpurascens Hack. 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 16:52
DOI: 10.5281/zenodo.18295741
title: Predictive Modeling for Maternal Health Risk Assessment Using Wearable and IoT Data

description: Title: Predictive Modeling for Maternal Health Risk Assessment Using Wearable and IoT Data (Reproducible Code)

Description (Zenodo):This upload contains a complete, reproducible Python codebase for maternal health risk prediction using wearable and IoT physiological time-series data. The repository implements an end-to-end machine learning workflow: synthetic data generation (HRV proxy, systolic/diastolic blood pressure, SpO₂, glucose), preprocessing and standardization, feature engineering for classical ML baselines, and sequence modeling using deep learning architectures.

Implemented models





Baseline feature-based models: Logistic Regression, Random Forest




Sequence-based deep models: LSTM, BiLSTM




Transformer Encoder for multivariate time-series classification



Pipeline components





Synthetic dataset generator with clinically plausible ranges and class-dependent shifts for maternal risk categories




Train/validation/test stratified splits with fixed random seed for reproducibility




Preprocessing (channel-wise standardization fitted on training set only)




Feature extraction (summary statistics + trend features) for baseline models




PyTorch training scripts for LSTM/BiLSTM/Transformer with model checkpointing




Evaluation utilities with Accuracy, Macro-F1, Weighted-F1, ROC-AUC (OvR), classification report, and confusion matrix




Plot utilities for model comparison (accuracy/F1/ROC-AUC bar charts)



OutputsRunning the scripts produces trained model artifacts, metrics in JSON format, and publication-ready plots saved under the outputs/ directory.

ReproducibilityAll experiments are controlled by a global seed and use a fixed train/validation/test split strategy. The synthetic data in this repository is intended for method benchmarking and open reproducibility; it is not clinical guidance and is not a substitute for validation on real-world patient datasets.

How to run (minimal)





Install dependencies: pip install -r requirements.txt




Generate synthetic dataset: python -m src.generate_synthetic --out data/synthetic.pkl




Train baselines: python -m src.train_baselines --data data/synthetic.pkl --outdir outputs/baselines




Train deep models (example): python -m src.train_deep --data data/synthetic.pkl --model transformer --outdir outputs/transformer




Create plots: python -m src.plots --results_glob "outputs/**/metrics.json" --outdir outputs/figures



License: MITKeywords: maternal health, wearables, IoT, time-series, machine learning, LSTM, Transformer, predictive modeling

Notes





Data are synthetic and provided to enable full public reproducibility.




Users working with real wearable/clinical data should follow applicable ethics, privacy, and regulatory requirements and conduct external validation.
DOI: 10.5281/zenodo.18295742
title: Predictive Modeling for Maternal Health Risk Assessment Using Wearable and IoT Data

description: Title: Predictive Modeling for Maternal Health Risk Assessment Using Wearable and IoT Data (Reproducible Code)

Description (Zenodo):This upload contains a complete, reproducible Python codebase for maternal health risk prediction using wearable and IoT physiological time-series data. The repository implements an end-to-end machine learning workflow: synthetic data generation (HRV proxy, systolic/diastolic blood pressure, SpO₂, glucose), preprocessing and standardization, feature engineering for classical ML baselines, and sequence modeling using deep learning architectures.

Implemented models





Baseline feature-based models: Logistic Regression, Random Forest




Sequence-based deep models: LSTM, BiLSTM




Transformer Encoder for multivariate time-series classification



Pipeline components





Synthetic dataset generator with clinically plausible ranges and class-dependent shifts for maternal risk categories




Train/validation/test stratified splits with fixed random seed for reproducibility




Preprocessing (channel-wise standardization fitted on training set only)




Feature extraction (summary statistics + trend features) for baseline models




PyTorch training scripts for LSTM/BiLSTM/Transformer with model checkpointing




Evaluation utilities with Accuracy, Macro-F1, Weighted-F1, ROC-AUC (OvR), classification report, and confusion matrix




Plot utilities for model comparison (accuracy/F1/ROC-AUC bar charts)



OutputsRunning the scripts produces trained model artifacts, metrics in JSON format, and publication-ready plots saved under the outputs/ directory.

ReproducibilityAll experiments are controlled by a global seed and use a fixed train/validation/test split strategy. The synthetic data in this repository is intended for method benchmarking and open reproducibility; it is not clinical guidance and is not a substitute for validation on real-world patient datasets.

How to run (minimal)





Install dependencies: pip install -r requirements.txt




Generate synthetic dataset: python -m src.generate_synthetic --out data/synthetic.pkl




Train baselines: python -m src.train_baselines --data data/synthetic.pkl --outdir outputs/baselines




Train deep models (example): python -m src.train_deep --data data/synthetic.pkl --model transformer --outdir outputs/transformer




Create plots: python -m src.plots --results_glob "outputs/**/metrics.json" --outdir outputs/figures



License: MITKeywords: maternal health, wearables, IoT, time-series, machine learning, LSTM, Transformer, predictive modeling

Notes





Data are synthetic and provided to enable full public reproducibility.




Users working with real wearable/clinical data should follow applicable ethics, privacy, and regulatory requirements and conduct external validation.
DOI: 10.5281/zenodo.18295907
title: Piptochaetium panicoides (Lam.) É.Desv. 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 16:52
DOI: 10.5281/zenodo.18295908
title: Piptochaetium panicoides (Lam.) É.Desv. 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 16:52
DOI: 10.5281/zenodo.18295913
title: Piptochaetium panicoides var. subpapillosum (Hack.) Petetin. 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 16:52
DOI: 10.5281/zenodo.18295914
title: Piptochaetium panicoides var. subpapillosum (Hack.) Petetin. 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 16:52
DOI: 10.5281/zenodo.18295917
title: Piptochaetium ruprechtianum É.Desv. 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 16:52
DOI: 10.5281/zenodo.18295916
title: Piptochaetium ruprechtianum É.Desv. 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 16:52
DOI: 10.15468/kk4nca
title: A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lachenaud, Olivier, Zemagho, Lise, Sonké, Bonaventure (2020): A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species. Candollea 75 (1): 115-143, DOI: 10.15553/c2020v751a12AbstractLACHENAUD, O., L. ZEMAGHO & B. SONKÉ (2020). A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species. Candollea 75: 115–143. In English, English and French abstracts. DOI: http://dx.doi.org/ 10.15553/c 2020v 751a12This paper presents a taxonomic revision of the Sabicea floribunda K. Schum. group (Rubiaceae). Eight species are recognised, of which three are newly described: Sabicea couteronii O. Lachenaud, Zemagho & Sonké (Cameroon, Gabon and Republic of Congo), Sabicea dichrosepala O. Lachenaud, Zemagho & Sonké and Sabicea rubiginosa O. Lachenaud, Zemagho & Sonké (both endemic to Gabon). One subspecies is also described: Sabicea sanguinosa subsp. viridis O. Lachenaud, Zemagho & Sonké and two varieties: Sabicea floribunda var. anisostegia O. Lachenaud, Zemagho & Sonké and Sabicea floribunda var. paludosa O. Lachenaud, Zemagho & Sonké. Lectotypes are selected for Sabicea floribunda var. paucinervis Wernham, Sabicea nobilis R.D. Good, Sabicea segregata Hiern and Sabicea henningsiana Büttner. All species are illustrated with photographs, and the three new ones also with line drawings; distribution maps and IUCN conservation status assessments are also presented for all taxa.
DOI: 10.15468/dl.mvkxck
title: Occurrence Download

description: A dataset containing 13301470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer domesticus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13301470 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019424-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r43mcq
title: Occurrence Download

description: A dataset containing 6595267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA, CAN, MEX, GRL, CUB, BHS, ATG, BRB, BLZ, CRI, DMA, DOM, SLV, GRD, GTM, HTI, HND, JAM, NIC, PAN, KNA, LCA, VCT, TTO, PRI, VIR, VGB, AIA, GLP.2.7_1, CYM)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Nymphalidae, Hesperiidae, Lycaenidae, Pieridae, Papilionidae, Riodinidae)",
 "Year 1925-2025"
 ]
}

 The dataset includes 6595267 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019432-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18295931
title: Piptochaetium setosum Arechav. 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 16:52
DOI: 10.5281/zenodo.18295930
title: Piptochaetium setosum Arechav. 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 16:52
DOI: 10.5281/zenodo.18295933
title: Piptochaetium stipoides var. chaetophorum (Griseb.) Parodi. 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 16:52
DOI: 10.5281/zenodo.18295932
title: Piptochaetium stipoides var. chaetophorum (Griseb.) Parodi. 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 16:52