cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3yzczn
title: Occurrence Download

description: A dataset containing 2484 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Leptodactylus fuscus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 2484 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037540-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/v925-2h41-sd0f
title: VCSEL 25Hz Water Vapor Data. Version 2.0

description: This data set contains 25 Hz water vapor mixing ratio data from the VCSEL (Vertical-Cavity Surface-Emitting Laser) hygrometer that was deployed on the NSR/NCAR GV HIAPER aircraft during the SOCRATES (Southern Ocean Clouds Radiation Aerosol Transport Experimental Study) field season.
DOI: 10.15468/dl.2wbrwx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocus sativus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037541-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsd85p
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocus sativus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037542-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb9bc5
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocus sativus",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037543-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3840616
title: Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation-Exp2-Data Downsampled

description: GX Dataset downsampled - Experiment 2

The GX Dataset is a dataset of combined tES, EEG, physiological, and behavioral signals from human subjects.Here the GX Dataset for Experiment 2 is downsampled to 1 kHz and saved in .MAT format which can be used in both MATLAB and Python.

Publication

A full data descriptor is published in Nature Scientific Data. Please cite this work as:



Gebodh, N., Esmaeilpour, Z., Datta, A. et al. Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Sci Data 8, 274 (2021). https://doi.org/10.1038/s41597-021-01046-y


Descriptions

A dataset combining high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data includes within subject application of nine High-Definition tES (HD-tES) types targeted three brain regions (frontal, motor, parietal) with three waveforms (DC, 5Hz, 30Hz), with more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics.

 

Acknowledgments

Portions of this study were funded by X (formerly Google X), the Moonshot Factory. The funding source had no influence on study conduction or result evaluation. MB is further supported by grants from the National Institutes of Health: R01NS101362, R01NS095123, R01NS112996, R01MH111896, R01MH109289, and (to NG) NIH-G-RISE T32GM136499.

Extras

Back to Full GX Dataset : https://doi.org/10.5281/zenodo.4456079

 

For downsampled data (1 kHz ) please see (in .mat format):



Experiment 1 : https://doi.org/10.5281/zenodo.3840614

Experiment 2 : https://doi.org/10.5281/zenodo.3840616


 

Code used to import, process, and plot this dataset can be found here:



GitHub : https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior


 

Additional figures for this project have been shared on Figshare. Trial-wise figures can be found here:



PSD: https://doi.org/10.6084/m9.figshare.14810517.v1

Topoplots During Stimulation: https://doi.org/10.6084/m9.figshare.14810478

Voltage timeseries, spectrogram and behavior: https://doi.org/10.6084/m9.figshare.14810442.v1


 

The full dataset is also provided in BIDS format here:



Data in BIDS format: https://doi.org/10.18112/openneuro.ds003670.v1.1.0


Data License Creative Common 4.0 with attribution (CC BY 4.0)

 

NOTE

Please email ngebodh01@citymail.cuny.edu with any questions.

 

 

Updates



Version 2.1.0



Behavioral data (ptracker) adjusted for all files. Previous version had one participant's data overwriting all behavioral data when downsampled. Mat format now explicitly >v7.3
DOI: 10.5281/zenodo.3840617
title: Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation-Exp2-Data Downsampled

description: GX Dataset downsampled - Experiment 2


The GX Dataset is a dataset of combined tES, EEG, physiological, and behavioral signals from human subjects.
Here the GX Dataset for Experiment 2 is downsampled to 1 kHz and saved in .MAT format which can be used in both MATLAB and Python.


Publication


A full data descriptor is published in Nature Scientific Data. Please cite this work as:


Gebodh, N., Esmaeilpour, Z., Datta, A. et al. Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Sci Data 8, 274 (2021). https://doi.org/10.1038/s41597-021-01046-y


 


Descriptions


A dataset combining high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data includes within subject application of nine High-Definition tES (HD-tES) types targeted three brain regions (frontal, motor, parietal) with three waveforms (DC, 5Hz, 30Hz), with more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics.


 


Acknowledgments


Portions of this study were funded by X (formerly Google X), the Moonshot Factory. The funding source had no influence on study conduction or result evaluation. MB is further supported by grants from the National Institutes of Health: R01NS101362, R01NS095123, R01NS112996, R01MH111896, R01MH109289, and (to NG) NIH-G-RISE T32GM136499.


Extras


Back to Full GX Dataset : https://doi.org/10.5281/zenodo.4456079


 


For downsampled data (1 kHz ) please see (in .mat format):



	
Experiment 1 : https://doi.org/10.5281/zenodo.8401160 
	
Experiment 2 : https://doi.org/10.5281/zenodo.3840617 



 


Code used to import, process, and plot this dataset can be found here:



	
GitHub : https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior



 


Additional figures for this project have been shared on Figshare. Trial-wise figures can be found here:



	
PSD: https://doi.org/10.6084/m9.figshare.14810517.v1
	
Topoplots During Stimulation: https://doi.org/10.6084/m9.figshare.14810478
	
Voltage timeseries, spectrogram and behavior: https://doi.org/10.6084/m9.figshare.14810442.v1



 


The full dataset is also provided in BIDS format here:



	
Data in BIDS format: https://doi.org/10.18112/openneuro.ds003670.v1.1.0



Data License 
Creative Common 4.0 with attribution (CC BY 4.0)


 


NOTE


Please email ngebodh01@citymail.cuny.edu with any questions.


Follow @NigelGebodh for latest updates.
DOI: 10.15468/dl.w6bkww
title: Occurrence Download

description: A dataset containing 4580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Vitex"
 ]
}

 The dataset includes 4580 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037544-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/w99pnq
title: Data Management and Sharing Plan for: Improving Neonatal health Through Rapid malaria testing in Early Pregnancy with high-sensitivity Diagnostics (INTREPiD)

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.21227/th01-4t03
title: "ElGamal-CryptoVuln Dataset (2018\u20132025 Window)"

description: "Cryptographic systems fail through implementation errors rather than algorithmic weakness, yet systematic evaluation of how rigorous implementation prevents documented vulnerability classes remains absent. This study implements ElGamal encryption with mathematical rigour\u2014safe prime generation using k=8 Miller-Rabin rounds, validated generator selection, unique ephemeral keys from system entropy, and constant-time operations\u2014then quantifies prevention efficacy against 1,194 cryptographic CVEs catalogued between 2018 and 2025. Analysis reveals that safe prime construction prevents 89.3% of inadequate strength vulnerabilities (1,203 of 1,347 instances), Miller-Rabin testing eliminates 94.2% of broken algorithm cases (1,812 of 1,923), and unique k-value enforcement achieves perfect prevention of key management errors (542 of 542). Performance measurements across six key sizes (64-bit to 2048-bit) establish polynomial scaling T(n) = 3.24 \u00d7 10^(-8) \u00d7 n^2.87 + 0.0012 (R\u00b2 = 0.9973), 512-bit results are presented as a pedagogical benchmark only; production deployments require modern key sizes. Generation time measured at 9.629 seconds. Microarchitectural analysis confirms 99.96% branch prediction accuracy through constant-work algorithmic form; production-grade constant-time requires a constant-time native backend. Cross-referencing with CISA's Known Exploited Vulnerabilities catalogue reveals that prevented vulnerabilities exhibit 4.75-fold lower exploitation probability (median EPSS 0.0006 versus 0.0042, p &lt; 0.000001). The aggregate 94.7% prevention rate across six failure mode categories validates that implementation quality supersedes algorithmic selection in determining practical security. Generator distribution analysis identifies critical taxonomy gaps, with 100% prevention of generator-related attacks despite absence of corresponding CWE categories. The residual 5.3% of unprevented vulnerabilities concentrate in quantum attacks (2.1%), novel mathematical advances (1.8%), and surrounding code errors (1.4%), representing fundamental limitations beyond implementation control. Findings establish that raising implementation standards eliminates opportunistic attacks whilst accepting that sophisticated adversaries may overcome any defence, informing secure coding practice and vulnerability taxonomy development."
DOI: 10.17909/b36q-ct37
title: JWST NEP TDF
DOI: 10.15468/dl.84b6ks
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Commelina benghalensis",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037546-250920141307145/datasets/export for details.
DOI: 10.15468/dl.hkjf9n
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Commelina benghalensis",
 "Country is Nigeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037548-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2bwgx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Commelina benghalensis",
 "Country is Georgia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037547-250920141307145/datasets/export for details.
DOI: 10.48577/jpl.be3gck
title: Airborne Demonstration of an ultra-compact Millimeter-Wave Radar for Atmospheric Measurements

description: We present the first-light airborne measurements ofa new W-band atmospheric radar, part of the CloudCubeinstrument. CloudCube is a multifrequency, ultra-compact, lowcost, modular radar system for vertical profiling of clouds,convection, and precipitation structures and dynamics from space.The instrument employs a novel radar architecture that directlyupconverts the baseband signal to the RF band, eliminating theneed for intermediate frequencies or further multiplicationschemes. This architecture, combined with pulse compressiontechniques, offers a straightforward and effective solution whileachieving the necessary performance and robustness for airborneor spaceborne radar instruments. The W-band channel wasinstalled and operated aboard NASA's DC-8 AirborneLaboratory, completing two test flights over the coast of Californiaand operated as a technology demonstration during science flightsas part of the CPEX field deployment. A detailed pulsecompression validation and comparison of reflectivity profilesacross multiple frequency bands demonstrate the instrument'sperformance for atmospheric profiling.
DOI: 10.48577/jpl.mjkp9f
title: A misaligned protostellar disk fed by gas streamers in 1 a barred spiral-like massive dense core

description: High-mass stars, born in massive dense cores (MDCs), play a major role in the cosmic ecosystem. Yet, little is known about how MDCs assemble their mass from beyond ∼0.1 pc and transport their mass into smaller rotating disks (∼100 au) and finally onto High-Mass Young Stellar Objects (HMYSOs). These steps are the key to understand the high-mass star formation processes. Leveraging multi-scale observations at 40–2500 au resolution toward an MDC with at least one associated HMYSO, we discovered a dynamical system analogous to the barred spiral structures of galaxies in morphology. It shows three prominent ∼20,000 au long spiral arms feeding a bar-like elongated structure (∼7,500 au, hereafter denoted as the “bar”) at the center. The “bar” further transports gas to a pseudodisk through gas streamers. The pseudodisk (&gt;2,000 au) revealed in thermal molecular emission, the Keplerian disk (∼500 au) traced by Class II methanol masers, and the inner disk (∼100 au) traced by long-baseline (0.03′′) 1.3 mm continuum emission are misaligned. We also detect a collimated bipolar outflow being launched from the HMYSO. To our knowledge, this is the first time that all these closely interconnected multi-scale components (spiral arms, bar-like structure, gas streamer, disk and outflow) of such an organic composite have been revealed simultaneously within a MDC. Our discovery suggests that well-organized hierarchical structures within a MDC play a crucial role during the gas accretion and angular momentum build-up of a massive disk.
DOI: 10.48577/jpl.3pnxue
title: Constraints of Prebiotic Phosphorous Reactions within Enceladus Hydrothermal Systems

description: Phosphorus is a limiting element for prebiotic/biotic activity, and its availability constrains planetary habitability. Phosphates detected in Enceladus’ plume material could expand the range of potential prebiotic reactions possibly occurring within its subsurface ocean. However, for phosphorus chemistry to influence potential prebiotic chemistry, the environment must be favorable for the production of organophosphates and condensed phosphorus species. While mechanisms for formation of organophosphates and polyphosphates exist within an early Earth context, these reactions rely on various environmental sources of phosphorus and are typically dependent on a low water activity environment to drive condensation or phosphorylation. For Enceladus, this would limit such reactions to within the core and/or hydrothermal systems, and water-rock chemistry in Enceladus’ core would be the singular source for oceanic phosphorus for prebiotic chemistry. Here we discuss the production of organophosphates and polyphosphates that might be possible within Enceladus, based on our understanding of prebiotic phosphorus reactions on early Earth.
DOI: 10.48577/jpl.4zr5pf
title: Detecting Extraterrestrial Civilizations with an Earth-level Deep Space Network

description: A major aspect of the search for extraterrestrial intelligence (SETI) involves searching for electromagnetic transmissions from extraterrestrial sources, often using our own transmissions as a guide. Previous studies have suggested that humanity’s most consistently detectable technosignatures were transmissions from our deep-space networks and interplanetary radar. In this study, we analyze NASA Deep Space Network logs to develop an optimal strategy for selecting SETI targets and scheduling observations to enhance the chances of detecting such networks. With Deep Space Network uplink transmission logs over the last 20 years, we find that these emissions were predominantly directed along the ecliptic plane, towards or directly away from the Sun, and towards other planets. In the case of Mars, we find a species that observed the sun for radio emission during a Mars-Earth conjunction in the past 20 years would have had a 70% chance of detecting one of our transmissions, a 306-fold increase over intercepting our Deep Space Network transmission at a random time. These findings suggest that SETI searches could benefit from prioritizing edge-on exoplanet systems and aligning observation windows with exoplanetary conjunctions or planet-planet occultations because they significantly improve the likelihood of intercepting transmissions from any civilizations employing deep-space networks similar to our own.
DOI: 10.48577/jpl.zsjbwe
title: Robust Tube Localization for Mars Sample Return: Lightweight YOLO-Segmentation with Angle-Guided PnP

description: One considered approach in the planned Mars Sample Return (MSR) campaign involves accurately identifying and retrieving sample tubes from the Martian surface. This paper presents an innovative approach that utilises lightweight computer-vision techniques to enhance the efficiency and accuracy of the Sample Transfer Arm (STA) aboard the MSR lander. Our methodology employs the YOLOv8 deep learning model for image segmentation, and centroid detection of tubes in the challenging dusty Martian environment. These detected masks and centroids provide the foundation for constructing an outlined representation of the tubes, which is critical for precise spatial orientation. We exploit the knowledge of the object geometry to find key points and match them using their relative positions with respect to the geometry. Subsequently, a Perspective-n-Point (PnP) algorithm with RANSAC utilizes this outline and pre-computed 3D coordinates to ascertain the tube’s pose. This enables the STA’s camera-equipped gripper to locate and retrieve the samples accurately. This process is meticulously tailored for the constrained computational resources available on Martian missions, addressing limitations in processing speed and lack of parallelization capabilities. Extensive simulations under Martian-like conditions demonstrate the robustness and reliability of our approach, which would be a necessary technology to enable a backup tube retrieval concept for a MSR campaign using a robotic arm by ensuring precise and efficient sample collection. This method can achieve sub-degree and sub-centimeter accuracy with a single image.
DOI: 10.48577/jpl.3wu1vg
title: The Effect of Mars Impact Crater Topography on Seismic Signals

description: Meteoroid impacts on Mars have been reported to result in small seismic surface-wave amplitudes, compared to body-wave amplitudes. We hypothesize that Mars’ topography could be responsible for preferential attenuation of surface waves. We use a spectral element method to simulate 3D seismic wave propagation from impact events. The model topography is based on Mars’ digital elevation model, and the crustal structure is based on published works. We also vary the craters’ effective depth to further investigate their influence on seismic signals. Results show that surface waves traveling through a crater lose energy proportional to the crater depth via scattering. The scattered surface waves are partially converted to body waves and scatter in other directions. The energy loss from scattering gradually recovers via multiple scattering, but still results in a net loss. The multiple scattered surface waves from distant craters arrive late, adding energy to the recorded coda waves. P-waves, however, arriving at steep incidence angles are almost unaffected by topography. The difference of how topographic scattering affects body and surface waves could explain the weak or lack of surface waves recorded by the InSight’s seismometer.
DOI: 10.48577/jpl.kih2b0
title: Satellite constraints reveal CO2 fertilization outweighed climate change impacts on the 2001–2021 land carbon sink (Manuscript, supplement, and accompanying dataset to be submitted to Global Change Biology)

description: The rate at which terrestrial ecosystems absorb atmospheric CO2 depends on complex and spatially variable responses to changes in climate and rising atmospheric CO2. Understanding and disentangling these responses is essential for climate projections and planning nature-based climate solutions, yet their recent impacts on terrestrial carbon (C) uptake remains uncertain. To address this uncertainty, we apply a Bayesian model data integration framework (CARDAMOM), using contemporary (2001–2021) global observations to optimize each pixel’s mechanistic parameters within a terrestrial ecosystem model (DALECCWE). The observations include satellite- and inventory-based constraints on distributions and change in terrestrial C (e.g., live biomass, soil organic C states, and net biosphere exchange of CO2) and mechanisms of that change (e.g., photosynthesis, deforestation, terrestrial water storage anomalies, or fire). We find that the impact of 2001–2021’s atmospheric CO2 increase on terrestrial C (+38 PgC) opposes and far outweighs the impact of climate trends over the same period (−8.2 PgC). Terrestrial C growth due to CO2 increase is primarily in live biomass (+29 PgC) rather than dead organic C (+9.4 PgC); by contrast, terrestrial C decline due to climate trends is mainly in dead organic C (−7.5 PgC), with regionally divergent impacts to live biomass that are minimal in the global mean (−0.7 PgC). In the last twenty years, the global response to combined climate and CO2 trends has led to increased total terrestrial C (+30 PgC), with regional responses largely positive despite scattered regions of net decreases in C storage (∼9% of global land area). Notably, live and dead organic C states exhibit spatially distinct and often compensating responses, indicating that accurately resolving ecosystem function and mechanisms underlying the terrestrial C cycle’s emergent behavior is crucial for estimating the strength and resilience of the land C sink over the coming decades.