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

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-99.30242 22.35735,-98.73235 22.28915,-98.40462 22.19791,-98.24598 22.21473,-98.09119 22.2401,-98.05463 22.24637,-97.9954 22.21581,-97.95843 22.19967,-97.92745 22.20436,-97.89231 22.21243,-97.83555 22.20149,-97.8089 22.23977,-97.76073 22.25823,-96.90875 26.21882,-99.78515 27.75909,-99.99013 27.49383,-99.76837 27.16509,-99.79073 26.7833,-99.70324 26.61965,-99.50786 26.54638,-99.35319 26.00094,-99.00313 25.89511,-98.67749 25.91953,-98.61237 25.46364,-98.90544 25.32525,-98.89625 25.13129,-99.19037 25.16243,-99.24253 24.89494,-99.72072 24.60363,-99.8354 24.39547,-99.69874 24.27933,-99.67409 24.03788,-99.5108 23.91913,-99.97934 23.77878,-100.16767 23.35115,-100.1788 23.00231,-100.09565 22.69782,-99.66726 22.61207,-99.37408 22.58609,-99.30242 22.35735))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Loricariidae"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026913-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cpwp96hwn2.1
title: I2Mech

description: Appendices (data and files) for the technical report: The I2 – Statistic As Test For Selection Bias In Randomised Controlled Trials
DOI: 10.17632/ctk5kkpk4m
title: rawdate

description: Microbial community structure and diversity in Eucalyptus and broadleaf tree species
DOI: 10.17632/ctk5kkpk4m.1
title: rawdate

description: Microbial community structure and diversity in Eucalyptus and broadleaf tree species
DOI: 10.15468/dl.umpyhw
title: Occurrence Download

description: A dataset containing 12549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-68.93816 -32.95298,-68.93456 -32.97866,-68.81485 -32.97564,-68.75815 -32.93334,-68.82835 -32.83282,-68.95616 -32.86004,-68.93816 -32.95298))"
 ]
}

 The dataset includes 12549 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026914-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fvb4k3gx5w.1
title: LINF_170020600

description: Protein name: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.mhptg2
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gongora cassidea Rchb.f."
 ]
}

 The dataset includes 59 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026915-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/hsnj-3k48
title: "Cyclist Stress Dataset"

description: "This dataset includes cyclist stress levels and a range of sensor readings capturing environmental conditions from both real-world traffic and a bike simulator environment. Data was collected using a smartphone-based sensor system, which recorded accelerometer, gyroscope, GPS, ambient light, and microphone data. Cyclists verbally reported their perceived stress levels at regular 5-second intervals, creating a labeled dataset for analyzing cyclist stress."
DOI: 10.17632/n66hhk695h.1
title: A Smartphone Camera Based RGB Video Dataset of Natural Hand Gestures

description: This dataset provides RGB video recordings and corresponding frame sequences for 13 everyday hand gestures, captured using a Samsung Galaxy S23 smartphone under real-world lighting conditions. Designed for research on gesture recognition using only consumer-grade cameras, the dataset excludes depth or infrared sensors to emphasize feasibility with standard hardware.

Each gesture was performed by two individuals, across three takes, under both bright daylight and dim green LED lighting. To capture different spatial contexts, recordings were made in two views: hand-only (focused solely on the hand) and full-body (showing the entire participant). This results in a total of 312 standardized video clips: 13 gestures × 2 participants × 3 takes × 2 lighting conditions × 2 capture modes.

Each video was processed to a uniform resolution of 640×640 pixels at 30 fps, and frames were extracted into organized image sequences. The data is arranged by gesture class and capture mode, with a labels.csv file at the root providing metadata for each clip. This includes gesture label, participant ID, lighting condition, view type, and take number, along with the corresponding frame path.

The dataset is ideal for training and evaluating machine learning models for gesture recognition, particularly in scenarios that require robustness to lighting variations, user diversity, and mobile deployment.
DOI: 10.15468/dl.rgum7m
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelis pardipes Rchb.f."
 ]
}

 The dataset includes 629 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026916-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e4v2p
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.87283 -34.29293,-69.58737 -34.29293,-69.58737 -34.07738,-69.87283 -34.07738,-69.87283 -34.29293))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 781 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026917-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15390533
title: Data release for "Unified nonparametric equation-of-state inference from the neutron-star crust to perturbative-QCD densities"

description: This data release contains the "unified" Gaussian-process (GP) equation-of-state (EOS) draws as described in the work Unified nonparametric equation-of-state inference from the neutron-star crust to perturbative-QCD densities. See also an accompanying GitHub repository.

 

The unified_gp_summary.csv file contains the astrophysical weight for each EOS, along with select Tolman-Oppenheimer-Volkoff (TOV) quantities. The astrophysical weights included are derived from



logweight_Fonseca_J0740: mass measurement for J0740+6620, E. Fonseca et al., Astrophys. J. Lett. 915, L12 (2021), arXiv:2104.00880

logweight_Antoniadis_J0348: mass measurement for J0348+0432, J. Antoniadis et al., Science 340, 6131 (2013), arXiv:1304.6875

logweight_Choudhury_J0437: mass and radius measurement for J0437–4715, D. Choudhury et al., Astrophys. J. Lett. 971, L20 (2024), arXiv:2407.06789

logweight_Miller_J0030: mass and radius measurement for J0030+0451, M. C. Miller et al., Astrophys. J. Lett. 887, L24 (2019), arXiv:1912.05705

logweight_Miller_J0740: mass and radius measurement for J0740+6620, M. C. Miller et al., Astrophys. J. Lett. 918, L28 (2021), arXiv:2105.06979

logweight_GW170817: mass and tidal deformability measurements for the two binary components of GW170817, B. P. Abbott et al. (LIGO Scientific, Virgo), Phys. Rev. X 9, 011001 (2019), arXiv:1805.11579

logweight_GW190425: mass and tidal deformability measurements for the two binary components of GW190425, B. P. Abbott et al. (LIGO Scientific, Virgo), Astrophys. J. Lett. 892, L3 (2020), arXiv:2001.01761


The combined weights are given in the logweight_total column.

The unified_gp_draws.h5 file contains the EOS data for every entry in the unified_gp_summary.csv table. The top level keys are:



eos: contains the pressure/c^2 (g/cm^3), (energy density)/c^2 (g/cm^3), baryon density (g/cm^3), and speed of sound squared (c^2) (note that the TOV quantities in unified_gp_summary.csv are given in the same units).

ns: contains the neutron star central baryon density (g/cm^3), mass (solar masses), radius (km), and dimensionless tidal deformability.


Within each of eos and ns, individual EOS draws are indexed via their ID number (the same as in the "eos" column of unified_gp_summary.csv). See the read_data.ipynb notebook for an example of how to load the EOS data.
DOI: 10.5281/zenodo.15390534
title: Data release for "Unified nonparametric equation-of-state inference from the neutron-star crust to perturbative-QCD densities"

description: This data release contains the "unified" Gaussian-process (GP) equation-of-state (EOS) draws as described in the work Unified nonparametric equation-of-state inference from the neutron-star crust to perturbative-QCD densities. See also an accompanying GitHub repository.

 

The unified_gp_summary.csv file contains the astrophysical weight for each EOS, along with select Tolman-Oppenheimer-Volkoff (TOV) quantities. The astrophysical weights included are derived from



logweight_Fonseca_J0740: mass measurement for J0740+6620, E. Fonseca et al., Astrophys. J. Lett. 915, L12 (2021), arXiv:2104.00880

logweight_Antoniadis_J0348: mass measurement for J0348+0432, J. Antoniadis et al., Science 340, 6131 (2013), arXiv:1304.6875

logweight_Choudhury_J0437: mass and radius measurement for J0437–4715, D. Choudhury et al., Astrophys. J. Lett. 971, L20 (2024), arXiv:2407.06789

logweight_Miller_J0030: mass and radius measurement for J0030+0451, M. C. Miller et al., Astrophys. J. Lett. 887, L24 (2019), arXiv:1912.05705

logweight_Miller_J0740: mass and radius measurement for J0740+6620, M. C. Miller et al., Astrophys. J. Lett. 918, L28 (2021), arXiv:2105.06979

logweight_GW170817: mass and tidal deformability measurements for the two binary components of GW170817, B. P. Abbott et al. (LIGO Scientific, Virgo), Phys. Rev. X 9, 011001 (2019), arXiv:1805.11579

logweight_GW190425: mass and tidal deformability measurements for the two binary components of GW190425, B. P. Abbott et al. (LIGO Scientific, Virgo), Astrophys. J. Lett. 892, L3 (2020), arXiv:2001.01761


The combined weights are given in the logweight_total column.

The unified_gp_draws.h5 file contains the EOS data for every entry in the unified_gp_summary.csv table. The top level keys are:



eos: contains the pressure/c^2 (g/cm^3), (energy density)/c^2 (g/cm^3), baryon density (g/cm^3), and speed of sound squared (c^2) (note that the TOV quantities in unified_gp_summary.csv are given in the same units).

ns: contains the neutron star central baryon density (g/cm^3), mass (solar masses), radius (km), and dimensionless tidal deformability.


Within each of eos and ns, individual EOS draws are indexed via their ID number (the same as in the "eos" column of unified_gp_summary.csv). See the read_data.ipynb notebook for an example of how to load the EOS data.
DOI: 10.15468/dl.s2g7ha
title: Occurrence Download

description: A dataset containing 856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Finland",
 "TaxonKey is Lycopodium annotinum L."
 ]
}

 The dataset includes 856 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026920-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.z25hax
title: Filling gaps: on the distribution of Crotalus intermedius Troschel, 1865 (Squamata, Viperidae) and its first record in the State of Mexico, Mexico

description: Records used in [paper](https://doi.org/10.15560/21.2.443) (dn)
DOI: 10.5281/zenodo.15391267
title: SyntheMol-RL Data

description: This archive contains data accompanying the paper "SyntheMol-RL: a reinforcement learning framework for designing novel and synthesizable antibiotics". The data is structured as follows.

 

property_prediction_models: Chemprop, Chemprop-RDKit, and MLP-RDKit models trained to predict S. aureus growth inhibition or aqueous solubility. For each model, dataset, and dataset split (cross-validation by default or scaffold split), an ensemble of ten models was trained.

 

supplementary_tables: The supplementary tables accompanying the paper with data such as the training data for the property prediction models and the compounds that were generated, synthesized, and tested.

 

synthemol_generations: Molecules generated by SyntheMol (RL-Chemprop, RL-MLP, or MCTS versions) across different settings (ablation experiments) and random seeds (five per setting).

 

synthesized_spectra: The spectra (LC-MS or 1H-NMR) of all synthesized compounds to verify their purity, split by synthesis vendor (Enamine or WuXi). The IDs used to label the spectra correspond to the IDs in the "id" column of the sheet named "Ordered Molecules" in Table_S11.xlsx in the supplementary_tables folder.

 

vs_chemprop: The full set of 21 million molecules (14 million from Enamine REAL, 7 million from WuXi GalaXi) with Chemprop-RDKit property predictions used in the virtual screening (VS-Chemprop) baseline.
DOI: 10.5281/zenodo.15391268
title: SyntheMol-RL Data

description: This archive contains data accompanying the paper "SyntheMol-RL: a reinforcement learning framework for designing novel and synthesizable antibiotics". The data is structured as follows.

 

property_prediction_models: Chemprop, Chemprop-RDKit, and MLP-RDKit models trained to predict S. aureus growth inhibition or aqueous solubility. For each model, dataset, and dataset split (cross-validation by default or scaffold split), an ensemble of ten models was trained.

 

supplementary_tables: The supplementary tables accompanying the paper with data such as the training data for the property prediction models and the compounds that were generated, synthesized, and tested.

 

synthemol_generations: Molecules generated by SyntheMol (RL-Chemprop, RL-MLP, or MCTS versions) across different settings (ablation experiments) and random seeds (five per setting).

 

synthesized_spectra: The spectra (LC-MS or 1H-NMR) of all synthesized compounds to verify their purity, split by synthesis vendor (Enamine or WuXi). The IDs used to label the spectra correspond to the IDs in the "id" column of the sheet named "Ordered Molecules" in Table_S11.xlsx in the supplementary_tables folder.

 

vs_chemprop: The full set of 21 million molecules (14 million from Enamine REAL, 7 million from WuXi GalaXi) with Chemprop-RDKit property predictions used in the virtual screening (VS-Chemprop) baseline.
DOI: 10.6084/m9.figshare.28370028
title: Impact Symmetry on Tribology Performance of 2,5-Bis-Cycloalkylsulfenyl[1,3,4]Thiadiazole Derivatives

description: Bismuthiol (DMTD) is one of the most important and well-known heterocyclic compounds. Their derivatives have been employed as additives in metalworking fluids to improve their tribology performance. To investigate the symmetry impact on thermal behavior and tribology performance, three metal-free, non-phosphorus, and ashless additives, including two symmetrical derivatives viz 2,5-bis-cyclopentylsulfenyl[1,3,4]thiadiazole {(cC<sub>5</sub>S)<sub>2</sub>TD} and 2,5-bis-cyclohexylsulfenyl[1,3,4]thiadiazole {(cC<sub>6</sub>S)<sub>2</sub>TD}, and one asymmetrical substituted DMTD, namely 2-(cyclohexylsulfenyl)-5-(cyclopentylsulfenyl)[1,3,4]thiadiazolec (C<sub>6</sub>S-TD-ScC<sub>5</sub>), were synthesized, and their tribology performance as additives in highly isoparaffinic Group III base oil, namely Petronas Etro 6, were evaluated using four-ball friction and wear tester. Interestingly, suitable needlelike crystals of 2,5-bis-cyclopentylsulfenyl[1,3,4]thiadiazole could be isolated after tedious work, whereas, the asymmetric derivative was a low viscous liquid. Then, the influence of symmetry on the thermal behavior of three 1,3,4-thiadiazole derivatives was investigated by thermogravimetric analysis/derivative thermogravimetry (TGA/DTG) and differential scanning calorimeter (DSC). Although no significant difference in thermal stability of the three DMTDs was observed, a sharp degradation was displayed and T<sub>dec.</sub> of (cC<sub>6</sub>S)<sub>2</sub>TD, (cC<sub>5</sub>S)<sub>2</sub>TD, and cC<sub>6</sub>S-TD-ScC<sub>5</sub> were 295.14, 290.47, and 276.09 °C, respectively. No residue remained after degradation. The DSC profiles showed a lower melting point for (cC<sub>5</sub>S)<sub>2</sub>TD than (cC<sub>6</sub>S)<sub>2</sub>TD, whereas, cC<sub>6</sub>S-TD-ScC<sub>5</sub> exhibited a high T<sub>g</sub> of 150.03 °C. In addition, the tribology results of three DMTD derivatives compared with those of zinc dialkyldithiophosphate (ZDDP, ADEKA Kiku-Lube Z-112) revealed an excellent load-carrying capacity with a maximum non-seizure load of 150 Kg load and welding load of 180 Kg load and they displayed better anti-wear properties compared to ADEKA Kiku-Lube Z-112. In addition, three DMTDs exhibited good anti-corrosion and excellent extreme pressure properties.
DOI: 10.6084/m9.figshare.28370028.v1
title: Impact Symmetry on Tribology Performance of 2,5-Bis-Cycloalkylsulfenyl[1,3,4]Thiadiazole Derivatives

description: Bismuthiol (DMTD) is one of the most important and well-known heterocyclic compounds. Their derivatives have been employed as additives in metalworking fluids to improve their tribology performance. To investigate the symmetry impact on thermal behavior and tribology performance, three metal-free, non-phosphorus, and ashless additives, including two symmetrical derivatives viz 2,5-bis-cyclopentylsulfenyl[1,3,4]thiadiazole {(cC<sub>5</sub>S)<sub>2</sub>TD} and 2,5-bis-cyclohexylsulfenyl[1,3,4]thiadiazole {(cC<sub>6</sub>S)<sub>2</sub>TD}, and one asymmetrical substituted DMTD, namely 2-(cyclohexylsulfenyl)-5-(cyclopentylsulfenyl)[1,3,4]thiadiazolec (C<sub>6</sub>S-TD-ScC<sub>5</sub>), were synthesized, and their tribology performance as additives in highly isoparaffinic Group III base oil, namely Petronas Etro 6, were evaluated using four-ball friction and wear tester. Interestingly, suitable needlelike crystals of 2,5-bis-cyclopentylsulfenyl[1,3,4]thiadiazole could be isolated after tedious work, whereas, the asymmetric derivative was a low viscous liquid. Then, the influence of symmetry on the thermal behavior of three 1,3,4-thiadiazole derivatives was investigated by thermogravimetric analysis/derivative thermogravimetry (TGA/DTG) and differential scanning calorimeter (DSC). Although no significant difference in thermal stability of the three DMTDs was observed, a sharp degradation was displayed and T<sub>dec.</sub> of (cC<sub>6</sub>S)<sub>2</sub>TD, (cC<sub>5</sub>S)<sub>2</sub>TD, and cC<sub>6</sub>S-TD-ScC<sub>5</sub> were 295.14, 290.47, and 276.09 °C, respectively. No residue remained after degradation. The DSC profiles showed a lower melting point for (cC<sub>5</sub>S)<sub>2</sub>TD than (cC<sub>6</sub>S)<sub>2</sub>TD, whereas, cC<sub>6</sub>S-TD-ScC<sub>5</sub> exhibited a high T<sub>g</sub> of 150.03 °C. In addition, the tribology results of three DMTD derivatives compared with those of zinc dialkyldithiophosphate (ZDDP, ADEKA Kiku-Lube Z-112) revealed an excellent load-carrying capacity with a maximum non-seizure load of 150 Kg load and welding load of 180 Kg load and they displayed better anti-wear properties compared to ADEKA Kiku-Lube Z-112. In addition, three DMTDs exhibited good anti-corrosion and excellent extreme pressure properties.
DOI: 10.15468/dl.vrumgk
title: Occurrence Download

description: A dataset containing 5062 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-42.521796 -19.6042269970148, -42.320423 -19.6042269970148, -42.320423 -19.4394699975928, -42.521796 -19.4394699975928, -42.521796 -19.6042269970148))"
 ]
}

 The dataset includes 5062 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026921-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13984173
title: Supplementary data for the manuscript, "Comprehensive Assessment of Physiochemical Metrics for the Clustering of Adaptive Immune Repertoires"

description: These files are a compilation of publicly available immune repertoire data and simulated immune repertoires used in the manuscript  "Comprehensive Assessment of Physiochemical Metrics for the Clustering of Adaptive Immune Repertoires" by Alexander Girgis et al.  In addition, data from the BLOCKS database (Henikoff and Henikoff, 1992) and AAIndex (Kawashima and Kanehisa, 2000) which are used in ths manuscript are included for convenience. The manuscript will be linked upon publication. 
description: A continued challenge in the analysis of adaptive immune receptor repertoires (AIRRs) is the prediction of antigen reactivity from primary sequence data. Many algorithms predict antigen response by measuring sequence similarity between receptors. Similarity is often scored using tools for protein alignment such as the BLOSUM  matrices. However, these metrics were designed to identify homology in genomic proteins, not VDJ-recombined immune receptors. We sought to develop physiochemical-based measures which may be better suited to AIRR data. Using matrix factorization, we generated sequence similarity measures from 443 properties in the AAIndex database. To evaluate these measures, we created Homolig (Homol-Ig), a tool for AIRR clustering according to user-specified scoring matrices. We used Homolig to cluster 534 simulated and biological repertoires using traditional and physicochemical-based scoring matrices. While physiochemical matrices had similar efficacy to traditional metrics, the membership of antigen-specific clusters varied.  Lastly, we inferred antigen-specific immune responses in pancreatic cancer and rheumatoid arthritis.  Inconsistent results were observed based on scoring measure used, emphasizing poor consensus among methods.  Despite equivocal performance, physiochemical measures increase interpretability in identifying structural characteristics responsible for immune receptor clustering. Users must carefully consider characteristics of sequence similarity measures to apply the most appropriate method to their data.