cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14538341
title: GITM simulation results for Figure 7 in manuscript, "Statistical Analysis of Ultra Low Frequency Total Electron Content Disturbances: Relationship to Magnetospheric Waves"

description: This zip file contains University of Michigan Global Ionosphere Thermosphere Model (GITM) numerical simulation results used in the Journal of Geophysical Research: Space Physics manuscript submission titled "Statistical Analysis of Ultra Low Frequency Total Electron Content Disturbances: Relationship to Magnetospheric Waves" by Hartinger et al.

The file contains output from two simulations used to generate Figure 7 (Total Electron Content perturbations) in the manuscript. It also contains the software used to generate the Figure and a readme (readme.md) file describing the simulation setup, parameters, outputs, and further instructions in more detail.
DOI: 10.5281/zenodo.14538342
title: GITM simulation results for Figure 7 in manuscript, "Statistical Analysis of Ultra Low Frequency Total Electron Content Disturbances: Relationship to Magnetospheric Waves"

description: This zip file contains University of Michigan Global Ionosphere Thermosphere Model (GITM) numerical simulation results used in the Journal of Geophysical Research: Space Physics manuscript submission titled "Statistical Analysis of Ultra Low Frequency Total Electron Content Disturbances: Relationship to Magnetospheric Waves" by Hartinger et al.

The file contains output from two simulations used to generate Figure 7 (Total Electron Content perturbations) in the manuscript. It also contains the software used to generate the Figure and a readme (readme.md) file describing the simulation setup, parameters, outputs, and further instructions in more detail.
DOI: 10.5281/zenodo.14597372
title: paraliparis_andriashevi_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597373
title: paraliparis_andriashevi_zanfona_1.fasta.gz
DOI: 10.15468/dl.5nmtdp
title: Occurrence Download

description: A dataset containing 883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Chordeiles pusillus Gould, 1861"
 ]
}

 The dataset includes 883 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056118-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14594508
title: NAc imaging
DOI: 10.5281/zenodo.14594509
title: NAc imaging
DOI: 10.5281/zenodo.14597364
title: NAc imaging
DOI: 10.5281/zenodo.14597387
title: paraliparis_antarcticus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597388
title: paraliparis_antarcticus_zanfona_1.fasta.gz
DOI: 10.5066/p1jwc2th
title: Evaluations of FSim burn probability maps for pyromes of the conterminous United States based on observed wildfire perimeters

description: The FSim wildfire simulation model is widely used to generate estimates of burn probability (BP). However, few studies have compared BP models to subsequent wildfires to assess their suitability for estimating near-future wildfire risk. Here, we compared the U.S.D.A. Forest Service’s publicly available BP map for the conterminous U.S. (Short et al., 2020; Dillon et al., 2023) to observed wildfire perimeters. Our main focus was to evaluate the BP map version based on 2014 LANDFIRE fuels data and calibrated to historical wildfires from 1992-2015, allowing us to compare BP to observed wildfires from 2016-2022. We also compared evaluations using a newer version of the BP map based on 2020 LANDFIRE fuels and 1992-2020 historical wildfires, and additionally performed evaluations for the western U.S. based on differing wildfire size classes. This dataset includes CSV tables summarizing burned area proportions by BP classes for individual pyromes, or regions with similar wildfire regimes, as well as processing code used to summarize burned area by BP classes.
DOI: 10.5281/zenodo.14597391
title: paraliparis_camilarus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597392
title: paraliparis_camilarus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13901358
title: Wine capsule

description: The dataset originates from a quality inspection process conducted at a wine distribution facility in Ensenada, Baja California, Mexico. The images were captured during routine quality checks on wine shipments, focusing on identifying capsules. The data was collected from physical wine boxes as they were prepared for distribution. Images were taken using high-resolution cameras placed strategically within the facility to ensure comprehensive coverage of each box from multiple angles.
DOI: 10.5281/zenodo.13901359
title: Wine packaging

description: The dataset originates from a quality inspection process conducted at a wine distribution facility in Ensenada, Baja California, Mexico. The images were captured during routine quality checks on wine shipments, focusing on identifying packaging defects. The data was collected from physical wine boxes as they were prepared for distribution. Images were taken using high-resolution cameras placed strategically within the facility to ensure comprehensive coverage of each box from multiple angles.
DOI: 10.5281/zenodo.14597006
title: Wine capsule

description: The dataset originates from a quality inspection process conducted at a wine distribution facility in Ensenada, Baja California, Mexico. The images were captured during routine quality checks on wine shipments, focusing on identifying capsules. The data was collected from physical wine boxes as they were prepared for distribution. Images were taken using high-resolution cameras placed strategically within the facility to ensure comprehensive coverage of each box from multiple angles.
DOI: 10.5281/zenodo.14597395
title: paraliparis_cephalus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597396
title: paraliparis_cephalus_zanfona_1.fasta.gz
DOI: 10.15468/dl.h5m79g
title: Occurrence Download

description: A dataset containing 31863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.05223 37.15828,-6.58837 36.8226,-6.471 36.31189,-5.52082 35.89805,-4.9276 36.35096,-5.30954 37.00919,-6.05223 37.15828))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 31863 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056119-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14597399
title: paraliparis_copei_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597400
title: paraliparis_copei_zanfona_1.fasta.gz
DOI: 10.22003/xfel.eu-data-900457-00
title: ITLAB SASEd DAQ tests
DOI: 10.22003/xfel.eu-data-900460-00
title: SXP Commissioning
DOI: 10.5281/zenodo.14597403
title: paraliparis_devriesi_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597404
title: paraliparis_devriesi_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597409
title: paraliparis_ekaporus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14597410
title: paraliparis_ekaporus_zanfona_1.fasta.gz
DOI: 10.15468/dl.avv97w
title: Occurrence Download

description: A dataset containing 21018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Carabus coriaceus Linnaeus, 1758"
 ]
}

 The dataset includes 21018 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056120-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rp8a52
title: Occurrence Download

description: A dataset containing 21578 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Theobroma L."
 ]
}

 The dataset includes 21578 records from 519 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056121-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7278/s5d-44hp-6sdg
title: Settling and Rotation of Frozen Hydrometeors in Turbulent Air
DOI: 10.5683/sp2/9veat9
title: UBC Research Data Management Survey: Science and Engineering

description: In order to become better prepared to support Research Data Management (RDM) practices in sciences and engineering, UBC Library, together with the VPRI ARC, conducted a research study of all ranks of faculty members, as well as postdoctoral fellows at the Faculty of Applied Science and the Faculty of Science. This survey was conducted in Summer 2015.
DOI: 10.15468/dl.g7fv9b
title: Occurrence Download

description: A dataset containing 4719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 4719 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056122-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fay9fb
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leiopus punctulatus (Paykull, 1800)"
 ]
}

 The dataset includes 360 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056124-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed3k3g
title: Occurrence Download

description: A dataset containing 23320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.06352 49.2878,-113.09631 49.32794,-122.78459 49.17558,-128.93872 50.93072,-126.98478 48.68251,-125.42875 44.28844,-125.27018 35.34204,-116.92016 32.2568,-109.48303 31.12518,-103.95536 32.40557,-105.06352 49.2878))",
 "TaxonKey is Boechera Á.Löve & D.Löve"
 ]
}

 The dataset includes 23320 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056123-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69za3j
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Idioscopus nitidulus (Walker, 1869)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056125-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fe8jv
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leiopus punctulatus (Paykull, 1800)"
 ]
}

 The dataset includes 360 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056126-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9826fe3
title: Orthomosaic of Semisopochnoi Island, Alaska from Historical Aerial Photographs

description: This data release provides a single 8-bit grayscale GeoTIFF orthomosaic of Semisopochnoi Island, in Aleutian Archipelago of Alaska (georeferenced in NAD 1983 UTM Zone 60N; EPSG:3373). The orthomosaic was derived from 31 black and white single frame aerial photographs taken in 1952. Also included are the non-georeferenced scans of the original aerial photographs.
DOI: 10.5281/zenodo.14597447
title: Data Responden Art2
DOI: 10.5281/zenodo.14597448
title: Data Responden Art2
DOI: 10.5063/f1n58jwc
title: Access Decision by users, species and districts for 2003-2022 in the Yukon River Drainage

description: Salmon populations in the Yukon are dwindling, prompting Alaskan fishery officials to restrict user access. This study uses stock status indicators and historical records to evaluate the consistency of stock access decisions across the dimensions of time, species, and users. We operationalize “subsistence preference,” the legal requirement to allow preferential access to traditional users when stocks are depressed, and test for its implementation. We find that decisions to close, restrict, or allow fishing are moderately consistent across the three dimensions. However, we find little evidence of those decisions honoring the required “subsistence preference.” We complement these quantitative analyses with semi-structured interviews with traditional subsistence users regarding their perceptions of these decision-making processes and their outcomes. These interviews reveal themes of heartbreak, anxiety, and frustration. Our results suggest that restricting access is far better than closure for transitional users and more consistent with “subsistence preference.” These are the data for access decision analyses.
DOI: 10.15468/dl.26gpaq
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-141.57157 60.23285,-126.90182 59.21948,-127.43263 61.0532,-139.03814 69.54621,-141.33029 69.98051,-141.57157 60.23285))",
 "OccurrenceStatus is Present",
 "TaxonKey is Argyresthia pygmaeella (Denis & Schiffermüller, 1775)"
 ]
}

 The dataset includes 70 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056127-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.656pw8
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-61.14723 -23.25579,-24.85277 -23.25579,-24.85277 -8.74421,-61.14723 -8.74421,-61.14723 -23.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cipocereus minensis (Werderm.) F.Ritter"
 ]
}

 The dataset includes 158 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056128-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cuvce
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.1_1",
 "Geometry POLYGON((-146.85139 28.44365,-69.14861 28.44365,-69.14861 59.55635,-146.85139 59.55635,-146.85139 28.44365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elodea bifoliata H.St.John"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056129-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/29750
title: Chandra X-ray Observatory ObsId 29750

description: eROSITA treasure hunt: Accurate localization of high-velocity X-ray sources
DOI: 10.5281/zenodo.14589567
title: Figure data files for paper "Automation of quantum dot measurement analysis via explainable machine learning"

description: This dataset contains all source files for the figures in the paper titled "Automation of quantum dot measurement analysis via explainable machine learning" published in Machine Learning: Science and Technology. In this paper, we propose and demonstrate a data vectorization method that involves mathematical modeling to mimic the experimental data. We then show that this new method offers superior explainability of model prediction without sacrificing accuracy. 

The experimental data used in this work is included in the QFlow Triangles: Quantum dot triangle plots data for machine learning dataset.
DOI: 10.5281/zenodo.14589568
title: Figure data files for paper "Automation of quantum dot measurement analysis via explainable machine learning"

description: This dataset contains all source files for the figures in the paper titled "Automation of quantum dot measurement analysis via explainable machine learning" published in Machine Learning: Science and Technology. In this paper, we propose and demonstrate a data vectorization method that involves mathematical modeling to mimic the experimental data. We then show that this new method offers superior explainability of model prediction without sacrificing accuracy. 

The experimental data used in this work is included in the QFlow Triangles: Quantum dot triangle plots data for machine learning dataset.
DOI: 10.5281/zenodo.14549896
title: QFlow Triangles: Quantum dot triangle plots data for machine learning

description: Arrays of QDs--interconnected islands of electrons confined in a semiconductor heterostructure with unique properties that allow them to act as artificial atoms--are a leading candidate for use as qubits, the fundamental information carriers in quantum computers. Scaling these systems to large arrays suitable for quantum computations is challenging. As the number of QDs grows, the number of gates needed to control them grows, making the manual tuning process unfeasible. Establishing a stable configuration of electrons in space is a non-trivial task achieved via electrostatic confinement, band-gap engineering, and dynamically adjusted voltages on nearby electrical gates. A key task is to determine a good set of control parameters (gate voltages) to achieve a desired charge configuration--in terms of number, location, and connectivity--for a successful experiment.

One sub-problem within the tuning procedure is determining the voltage placement of gates to allow the formation of isolated one-dimensional (1D) current channels inside the two-dimensional electron gas (2DEG) formed at the intersection of the Si and Si$_{x}$Ge$_{1-x}$ layers in the heterostructure. The 1D current channels are formed by selectively removing 2DEG from certain regions of the device. The formation of the channel manifests as a triangular-sloped region (the so-called triangle plots).
DOI: 10.5281/zenodo.14549897
title: QFlow Triangles: Quantum dot triangle plots data for machine learning

description: Arrays of QDs--interconnected islands of electrons confined in a semiconductor heterostructure with unique properties that allow them to act as artificial atoms--are a leading candidate for use as qubits, the fundamental information carriers in quantum computers. Scaling these systems to large arrays suitable for quantum computations is challenging. As the number of QDs grows, the number of gates needed to control them grows, making the manual tuning process unfeasible. Establishing a stable configuration of electrons in space is a non-trivial task achieved via electrostatic confinement, band-gap engineering, and dynamically adjusted voltages on nearby electrical gates. A key task is to determine a good set of control parameters (gate voltages) to achieve a desired charge configuration--in terms of number, location, and connectivity--for a successful experiment.

One sub-problem within the tuning procedure is determining the voltage placement of gates to allow the formation of isolated one-dimensional (1D) current channels inside the two-dimensional electron gas (2DEG) formed at the intersection of the Si and Si$_{x}$Ge$_{1-x}$ layers in the heterostructure. The 1D current channels are formed by selectively removing 2DEG from certain regions of the device. The formation of the channel manifests as a triangular-sloped region (the so-called triangle plots).
DOI: 10.5281/zenodo.14597455
title: Supplementary material 1

description: Supplementary material 1 - Plant richness and diversity explained by land use changes in four restoration typologies in Southeast Atlantic Forest

The data provided in this repository are available in two formats:



CSV (.csv): A comma-delimited file format widely compatible with various data analysis software, statistical tools, and programming languages, ensuring easy access and usability across different platforms.

Excel (.xlsx): A Microsoft Excel file format that retains the original data formatting, making it more user-friendly for those who prefer working directly in spreadsheets.


Both files contain identical data, organized into columns with clear headers, and have been thoroughly reviewed to ensure data integrity and consistency.

For further details about the data content, please refer to the accompanying documentation included in the file. If you have any questions or encounter difficulties, the authors are available for clarification.
DOI: 10.5281/zenodo.14597456
title: Supplementary material 1

description: Supplementary material 1 - Plant richness and diversity explained by land use changes in four restoration typologies in Southeast Atlantic Forest

The data provided in this repository are available in two formats:



CSV (.csv): A comma-delimited file format widely compatible with various data analysis software, statistical tools, and programming languages, ensuring easy access and usability across different platforms.

Excel (.xlsx): A Microsoft Excel file format that retains the original data formatting, making it more user-friendly for those who prefer working directly in spreadsheets.


Both files contain identical data, organized into columns with clear headers, and have been thoroughly reviewed to ensure data integrity and consistency.

For further details about the data content, please refer to the accompanying documentation included in the file. If you have any questions or encounter difficulties, the authors are available for clarification.