cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w947er
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pereskiopsis rotundifolia (A.DC.) Britton & Rose"
 ]
}

 The dataset includes 201 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016536-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxya3v
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mullerochloa K.M.Wong"
 ]
}

 The dataset includes 140 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047836-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svzgqv
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaemelum nobile L."
 ]
}

 The dataset includes 652 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004313-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwm59q
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colchicum szovitsii Fisch. & C.A.Mey."
 ]
}

 The dataset includes 349 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142553-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sc3bnp
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galanthus alpinus Sosn."
 ]
}

 The dataset includes 86 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004313-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zms87g
title: Occurrence Download

description: A dataset containing 4495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platycladus orientalis (L.) Franco"
 ]
}

 The dataset includes 4495 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142616-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15702518
title: Fine-Tuning Dataset for Instruction-Based Python Code Generation with Gridly API

description: This repository contains a dataset and training script used to explore instruction tuning for secure, domain-specific API code generation using large language models (LLMs).

We use the Gridly REST API as a representative case study to demonstrate that compact instruction-tuned models (e.g., Mistral-7B-Instruct) can be fine-tuned to generate syntactically correct and functionally valid Python API calls based on natural language prompts, even in offline, security-constrained environments.



Contents





mistral_instruct_requests_dataset_1500_per_task.jsonl– 3,000 Alpaca-style instruction–code pairs– 1500 examples for grid creation– 1500 examples for column configuration– Designed to simulate structured API usage and automate low-code workflows




train.py– Fine-tuning script using LoRA and QLoRA– Designed for efficient training on 4-bit quantized models
DOI: 10.5281/zenodo.15702519
title: Fine-Tuning Dataset for Instruction-Based Python Code Generation with Gridly API

description: This repository contains a dataset and training script used to explore instruction tuning for secure, domain-specific API code generation using large language models (LLMs).

We use the Gridly REST API as a representative case study to demonstrate that compact instruction-tuned models (e.g., Mistral-7B-Instruct) can be fine-tuned to generate syntactically correct and functionally valid Python API calls based on natural language prompts, even in offline, security-constrained environments.



Contents





mistral_instruct_requests_dataset_1500_per_task.jsonl– 3,000 Alpaca-style instruction–code pairs– 1500 examples for grid creation– 1500 examples for column configuration– Designed to simulate structured API usage and automate low-code workflows




train.py– Fine-tuning script using LoRA and QLoRA– Designed for efficient training on 4-bit quantized models
DOI: 10.6084/m9.figshare.29396228
title: Data for Huo et al. (2025) in <i>Communications Earth & Environment</i>.

description: Changes in sea ice concentration explain half of the winter warming of the Arctic surface.
DOI: 10.6084/m9.figshare.29396228.v1
title: Data for Huo et al. (2025) in <i>Communications Earth & Environment</i>.

description: Changes in sea ice concentration explain half of the winter warming of the Arctic surface.
DOI: 10.15468/dl.rechbx
title: Occurrence Download

description: A dataset listing the 129 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.25656 7.38627,-73.13708 7.38627,-73.13708 7.52668,-73.25656 7.52668,-73.25656 7.38627))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 129 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067843-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zd94k
title: Occurrence Download

description: A dataset containing 5081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.568 -11.89084,-83.99403 -57.3976,-64.60004 -57.24361,-41.49838 -38.16972,-49.48414 -19.57083,-65.45566 -4.84121,-82.568 -11.89084))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ctenomys Blainville, 1826"
 ]
}

 The dataset includes 5081 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067847-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15733740
title: Metagenomes from cyanobacterial harmful algal blooms from lakes in Ohio (USA).

description: Full Table 1 of the information of metagenome-assembled genomes (MAGs) from the publication "Metagenoms from cyanobacterial harmful algal blooms from lakes in Ohio (USA).".
DOI: 10.5281/zenodo.15733741
title: Metagenomes from cyanobacterial harmful algal blooms from lakes in Ohio (USA).

description: Full Table 1 of the information of metagenome-assembled genomes (MAGs) from the publication "Metagenoms from cyanobacterial harmful algal blooms from lakes in Ohio (USA).".
DOI: 10.15468/dl.y79q7z
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.62875 34.74561,-113.83349 34.74561,-113.83349 36.45015,-116.62875 36.45015,-116.62875 34.74561))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aphididae",
 "Year 2010-2025"
 ]
}

 The dataset includes 74 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067850-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kg4ndk
title: Occurrence Download

description: A dataset containing 57884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Araceae"
 ]
}

 The dataset includes 57884 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067842-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qqjjh
title: Occurrence Download

description: A dataset containing 4012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.62875 34.74561,-113.83349 34.74561,-113.83349 36.45015,-116.62875 36.45015,-116.62875 34.74561))",
 "HasGeospatialIssue is false",
 "TaxonKey is Coleoptera",
 "Year 2010-2025"
 ]
}

 The dataset includes 4012 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067851-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/sq3eq4
title: Data and Model Fitting for Evaluation of Drug Release from Polymeric Nanoparticles in Simulated Saliva and Gastric Media by Asymmetric Flow Field–Flow Fractionation (AF4)

description: This data repository contains data and model fitting tools for a publication on Evaluation of Drug Release from Polymeric Nanoparticles in Simulated Saliva and Gastric Media by Asymmetric Flow Field–Flow Fractionation (AF4). The data include (1) an Excel spreadsheet with bulk drug release data and radial diffusion model fitting, (2) a zip file containing Matlab code and associated Excel data input spreadsheets for size-resolved analysis of drug release profiles using multi-detector AF4 data, and (3) an Excel spreadsheet holding the results of the Matlab data processing.
DOI: 10.15468/dl.ed7xms
title: Occurrence Download

description: A dataset containing 1355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.62875 34.74561,-113.83349 34.74561,-113.83349 36.45015,-116.62875 36.45015,-116.62875 34.74561))",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthoptera",
 "Year 2010-2025"
 ]
}

 The dataset includes 1355 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067852-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gapjpx
title: Occurrence Download

description: A dataset containing 2530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-323.31367 -56.43075,-75.46395 -56.43075,-75.46395 42.08012,-323.31367 42.08012,-323.31367 -56.43075))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platax teira (Forsskål, 1775)"
 ]
}

 The dataset includes 2530 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067854-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvxv2y
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((174.70929 -36.85714,174.7117 -36.85666,174.71132 -36.8537,174.70927 -36.85264,174.70823 -36.854,174.70929 -36.85714))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 175 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067855-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfjkf2
title: Occurrence Download

description: A dataset containing 68880 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae)",
 "GadmGid is one of (COL.8_2)"
 ]
 }
 ]
}

 The dataset includes 68880 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067845-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15733477
title: Uncovering the hidden diversity and functional roles of root endophytic Streptomyces under drought stress

description: this provides necessary data to complement https://github.com/deanpettinga/strep_manuscript.
DOI: 10.15468/dl.kcdzqt
title: Occurrence Download

description: A dataset containing 68880 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae)",
 "GadmGid is one of (COL.8_2)"
 ]
 }
 ]
}

 The dataset includes 68880 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067848-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12274117
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.7910/dvn/nwhdbb
title: Nonlinear Gyrokinetic Simulations of the I-mode High Confnement Regime and Comparisons with Experiment

description: For the first time, nonlinear gyrokinetic simulations of I-mode plasmas are performed and compared with experiment. I-mode is a high confinement regime, featuring energy confinement similar to H-mode, but without enhanced particle and impurity particle confinement [D. G. Whyte et al., Nucl. Fusion 50, 105005 (2010)]. As a consequence of the separation between heat and particle transport, I-mode exhibits several favorable characteristics compared to H-mode. The nonlinear gyrokinetic code GYRO [J. Candy and R. E. Waltz, J Comput. Phys. 186, 545 (2003)] is used to explore the effects of E × B shear and profile stiffness in I-mode and compare with L-mode. The nonlinear GYRO simulations show that I-mode core ion temperature and electron temperature profiles are more stiff than L-mode core plasmas. Scans of the input E × B shear in GYRO simulations show that E × B shearing of turbulence is a stronger effect in the core of I-mode than L-mode. The nonlinear simulations match the observed reductions in long wavelength density fluctuation levels across the L-I transition but underestimate the reduction of long wavelength electron temperature fluctuation levels. The comparisons between experiment and gyrokinetic simulations for I-mode suggest that increased E × B shearing of turbulence combined with increased profile stiffness are responsible for the reductions in core turbulence observed in the experiment, and that I-mode resembles H-mode plasmas more than L-mode plasmas with regards to marginal stability and temperature profile stiffness.
description: CITATION: Physics of Plasmas &gt; Volume 22, Issue 5 &gt; 10.1063/1.4921150<br><br>PUBLISHED VERSION DOI: http://dx.doi.org/10.1063/1.4921150<br><br>PSFC REPORT PSFC/JA-15-67<br><br>Experimental data sets were collected at the Alcator C-Mod tokamak, a DOE Office of Science user facility, supported by DOE Contract DE-FC02-99ER54512-CMOD. The nonlinear gyrokinetic calculations with the GYRO code were performed using the National Energy Research Scientiffc Computing Center, which is supported by the Offce of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.<br><br>If this record does not contain the full text, then the manuscript has been embargoed by the publisher thus restricting open access for 12 to 24 months after publication.
DOI: 10.15468/dl.8kc9yn
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-108.69374 21.08573,-93.2041 -12.2116,-72.09946 -16.33872,-63.19292 -0.88148,-76.74636 18.16819,-90.29979 23.94711,-108.69374 21.08573))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelydra serpentina (Linnaeus, 1758)"
 ]
}

 The dataset includes 120 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067859-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15733743
title: Computational precision targeting of cancer metabolism using patient-specific genome-scale metabolic models and clinical data

description: GEMs_TCGA_BLCA: TCGA BLCA patient-specific genome-scale metabolic models (GEMs) reconstructed using their corresponding RNA-seq data and Recon 2M.2



High_risk: 30 High-risk BLCA patient-specific GEMs

Low_risk: 81 Low-risk BLCA patient-specific GEMs
DOI: 10.5281/zenodo.15733744
title: Computational precision targeting of cancer metabolism using patient-specific genome-scale metabolic models and clinical data

description: GEMs_TCGA_BLCA: TCGA BLCA patient-specific genome-scale metabolic models (GEMs) reconstructed using their corresponding RNA-seq data and Recon 2M.2



High_risk: 30 High-risk BLCA patient-specific GEMs

Low_risk: 81 Low-risk BLCA patient-specific GEMs
DOI: 10.34943/2dcb188c-18af-4a92-af13-4de996c04e02
title: Folger Deep Hydrophone Deployed 2014-05-07

description: The Ocean Sonics icListen HF Hydrophone 1266 was deployed on 2014-05-07 at Folger Deep. Folger Deep is a deep location in Folger Passage near a pillar-like seamount, where productivity and marine mammals are observed. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/7ee4fcfd-3899-44e4-ac79-b656c5c86f4a
title: Folger Deep Hydrophone Deployed 2014-05-07

description: The Ocean Sonics icListen HF Hydrophone 1266 was deployed on 2014-05-07 at Folger Deep. Folger Deep is a deep location in Folger Passage near a pillar-like seamount, where productivity and marine mammals are observed. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.15733704
title: FOSID (FPGA On-chip Sensor IDentification): A dataset of signatures from the internal monitoring sensors of Xilinx Artix-7 chips (Basys-3 FPGA development boards) during the stimulation of their electronic activity with HW stimulus

description: The FOSID (FPGA On-chip Sensor IDentification) dataset comprises 88,000 raw sensor signatures collected from 22 Basys-3 FPGA development boards, each integrating a Xilinx Artix-7 chip. The data is structured in a five-dimensional tensor of shape (22, 5, 4, 200, 4000) per workload, where each dimension corresponds to:





device_idx ∈ [0..21]: individual device identifier.




zone_idx ∈ [0..4]: physical placement region of the hardware workload within the FPGA die.




sensor_idx ∈ [0..3]: sensor type – TEMP, VCCAUX, VCCBRAM, and VCCINT.




signature_idx ∈ [0..199]: index of each acquired signature per configuration.




sample_idx ∈ [0..3999]: individual sample within a signature (sampled at ~120.2 kHz)



Four different hardware workloads were implemented and used to stimulate the FPGA fabric during acquisition: AES, FFT, and two variants of matrix multipliers (UMM). Each implementation corresponds to a dedicated group in the HDF5 structure (i.e., AES_4K, FFT_4K, UMM_4K_ALLOC, UMM_4K_NOALLOC), and includes its own dataset with the same layout and metadata.

Additionally, a one-dimensional dataset named device_uuids maps each device_idx to its unique 20-byte identifier, ensuring traceability of the samples.

All sensor readings were stored as 32-bit floats, converted from ADC raw values (12-bit resolution) using the following calibration formulas (stored as attributes):





Temperature: Celsius = ((ADC_code × 503.975) / 4096) – 273.15




Voltage: Voltage = (ADC_code / 4096) × 3



This dataset provides a comprehensive and high-resolution capture of internal sensor behavior across diverse conditions, including variations in workload, placement, and device-specific factors. Its volume and structure enable robust statistical analysis and machine learning-based fingerprinting.
DOI: 10.5281/zenodo.15733705
title: FOSID (FPGA On-chip Sensor IDentification): A dataset of signatures from the internal monitoring sensors of Xilinx Artix-7 chips (Basys-3 FPGA development boards) during the stimulation of their electronic activity with HW stimulus

description: The FOSID (FPGA On-chip Sensor IDentification) dataset comprises 88,000 raw sensor signatures collected from 22 Basys-3 FPGA development boards, each integrating a Xilinx Artix-7 chip. The data is structured in a five-dimensional tensor of shape (22, 5, 4, 200, 4000) per workload, where each dimension corresponds to:





device_idx ∈ [0..21]: individual device identifier.




zone_idx ∈ [0..4]: physical placement region of the hardware workload within the FPGA die.




sensor_idx ∈ [0..3]: sensor type – TEMP, VCCAUX, VCCBRAM, and VCCINT.




signature_idx ∈ [0..199]: index of each acquired signature per configuration.




sample_idx ∈ [0..3999]: individual sample within a signature (sampled at ~120.2 kHz)



Four different hardware workloads were implemented and used to stimulate the FPGA fabric during acquisition: AES, FFT, and two variants of matrix multipliers (UMM). Each implementation corresponds to a dedicated group in the HDF5 structure (i.e., AES_4K, FFT_4K, UMM_4K_ALLOC, UMM_4K_NOALLOC), and includes its own dataset with the same layout and metadata.

Additionally, a one-dimensional dataset named device_uuids maps each device_idx to its unique 20-byte identifier, ensuring traceability of the samples.

All sensor readings were stored as 32-bit floats, converted from ADC raw values (12-bit resolution) using the following calibration formulas (stored as attributes):





Temperature: Celsius = ((ADC_code × 503.975) / 4096) – 273.15




Voltage: Voltage = (ADC_code / 4096) × 3



This dataset provides a comprehensive and high-resolution capture of internal sensor behavior across diverse conditions, including variations in workload, placement, and device-specific factors. Its volume and structure enable robust statistical analysis and machine learning-based fingerprinting.
DOI: 10.15468/dl.bvr4wz
title: Occurrence Download

description: A dataset containing 89001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Asteraceae"
 ]
}

 The dataset includes 89001 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067857-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.