cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14003166
title: Climatic mass balance of the Cordillera Darwin Icefield (2000-2023), Tierra del Fuego, Chile

description: This dataset contains the annual averages of the climatological input and the modelled climatic mass balance of the Cordillera Darwin Icefield, Tierra del Fuego. The climatological input is calculated by statistically downscaling ERA5 reanalysis data to weather stations across the Cordillera Darwin via Quantile Mapping. The precipitation is simulated with an orographic precipitation model. Global radiation is simulated with a radiation model. The applied climatic mass balance model is the coupled snowpack and ice surface energy and mass balance model (COSIPY).
DOI: 10.5281/zenodo.15055150
title: Headgear Image Classification Dataset

description: Description:

This dataset provides a comprehensive collection of Headgear Image Classification Dataset into 20 distinct categories, including hats, caps, and helmets. It contains a total of 3,620 training images, 100 testing images, and 100 validation images. Each image is consistently sized at 224 x 224 pixels, with 3 color channels (RGB), and is saved in high-quality JPEG format. The dataset is designed to be a resource for image classification tasks, particularly in projects related to clothing, fashion accessories, or safety gear detection. The diversity of the headgear classes allows for applications in industries such as retail, e-commerce, safety compliance, and more.

Download Dataset

Dataset Details:





Image Resolution: All images are 224 x 224 pixels, RGB format (3 channels).




File Format: JPEG (.jpg) format for all images.




Classes: 20 categories of headgear, including various styles of hats, caps, and helmets.




Training Data: 3,620 images.




Test Data: 100 images.




Validation Data: 100 images.



Additional Resources:

Alongside the image dataset, the package includes a pre-trained model using the EfficientNetBO architecture. This model has been fine-tuned for headgear classification, providing a strong baseline for further fine-tuning or deployment in production environments. The accompanying CSV file offers detailed annotations, including file names and their respective class labels, which can be utilize for both model training and evaluation.

Applications:

This dataset is ideal for machine learning practitioners and researchers working on computer vision tasks. It can be use for:





Headgear Recognition: Identifying and classifying different types of headgear from images.




Retail and E-Commerce Solutions: Enhancing search and recommendation engines by recognizing headgear in product images.




Safety and Compliance: Detecting helmets or other safety-relate gear in images for industries where protective equipment is require.




Fashion and Accessory Classification: Categorizing various styles of headgear in fashion-relate projects.



This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15055151
title: Headgear Image Classification Dataset

description: Description:

This dataset provides a comprehensive collection of Headgear Image Classification Dataset into 20 distinct categories, including hats, caps, and helmets. It contains a total of 3,620 training images, 100 testing images, and 100 validation images. Each image is consistently sized at 224 x 224 pixels, with 3 color channels (RGB), and is saved in high-quality JPEG format. The dataset is designed to be a resource for image classification tasks, particularly in projects related to clothing, fashion accessories, or safety gear detection. The diversity of the headgear classes allows for applications in industries such as retail, e-commerce, safety compliance, and more.

Download Dataset

Dataset Details:





Image Resolution: All images are 224 x 224 pixels, RGB format (3 channels).




File Format: JPEG (.jpg) format for all images.




Classes: 20 categories of headgear, including various styles of hats, caps, and helmets.




Training Data: 3,620 images.




Test Data: 100 images.




Validation Data: 100 images.



Additional Resources:

Alongside the image dataset, the package includes a pre-trained model using the EfficientNetBO architecture. This model has been fine-tuned for headgear classification, providing a strong baseline for further fine-tuning or deployment in production environments. The accompanying CSV file offers detailed annotations, including file names and their respective class labels, which can be utilize for both model training and evaluation.

Applications:

This dataset is ideal for machine learning practitioners and researchers working on computer vision tasks. It can be use for:





Headgear Recognition: Identifying and classifying different types of headgear from images.




Retail and E-Commerce Solutions: Enhancing search and recommendation engines by recognizing headgear in product images.




Safety and Compliance: Detecting helmets or other safety-relate gear in images for industries where protective equipment is require.




Fashion and Accessory Classification: Categorizing various styles of headgear in fashion-relate projects.



This dataset is sourced from Kaggle.
DOI: 10.21227/q2cb-4b07
title: Training datasets for Geologically-informed AI Model

description: We develop a geological and geophysical forward modeling workflow from the perspective of stratigraphic forward modeling, adding fold structures, building attribute models, building seismic data. Specifically, we first use PyBadlands (Salles et al., 2018) to simulate numerous stratigraphic layers under diverse forcing conditions. Then we perform the interpolation process to obtain a stratigraphic volume and add folding structures (Wu et al., 2020). For the attribute models construction, we first manually build an initial porosity model (P0 ) based on the RGT model, assigning diﬀerent porosity values at diﬀerent RGT layers and introduce lateral variations to enhance its realism. Then we generate two weighting matrices (w 1 and w2 ) to incorporate variations in depositional environment and compaction eﬀects, respectively. Finally, we combine these elements to generate the ﬁnal realistic porosity model, which can eﬀectively and reasonably reﬂect the inﬂuence of the variations in rock properties, depositional environments, and burial depths on subsurface sediments. After obtaining the realistic porosity model, we then employ the Biot-Gassmann theory (Biot, 1941; Gassmann, 1951; Berryman, 1999) to compute the corresponding velocity, density, and impedance models. To be consistent with the ﬁeld seismic data, we perform the depth-to-time conversion for all attribute models based on the velocity model. Finally, we convolve the reﬂectivity model (converted from impedance model) with a Ricker wavelet and add real noise to generate the ﬁnal synthetic seismic image. Simultaneously, we also automatically obtain the corresponding RGT labels. Finally, we automatically obtain 2000 pairs of synthetic seismic images (520[crossline] × 300[Time]) and corresponding RGT labels contained diverse geological clinothems patterns.
DOI: 10.15468/dl.eys4ym
title: Occurrence Download

description: A dataset containing 11738 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camelina sativa (L.) Crantz"
 ]
}

 The dataset includes 11738 records from 502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018354-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/qkf5-vk58
title: BPqu: Breath Phase Quantifier

description: Endurance running is a popular activity due to its accessibility. However, participation is sometimes prevented by individuals experiencing respiratory problems. Monitoring breathing with body area networks can tackle these issues by tracking respiration during exercise and providing immediate, guiding feedback. Common breathing guidance systems rely on observational data from past breath cycles and consequently inherit disruptively lagging guidance interventions if breathing pattern suddenly change. Therefore, this work introduces BPqu, a deep learning algorithm for real-time breath phase estimation on edge devices that enhances new breathing guidance opportunities in running by predicting the continuous breath phase with zero latency. BPqu predicts breathing within the next running step and detects hale change events, determines inhalation and exhalation phases, and quantifies the concurrent continuous breath phase with performance metrics of 93.1%, 85.6%, and 81.5%, respectively, with zero delay. BPqu is designed to be deployed in a textile wearable breathing and stride sensor and will be applied to enhance intuitive,  non-distracting breathing guidance in running, reducing respiratory distress and increasing running enjoyment, thereby promoting human well-being.
DOI: 10.6084/m9.figshare.28631276
title: Empirical Study Results and Corresponding Datasets for Paper No. 595

description: This repository presents our manual analysis results of empirical study as well as the corresponding datadets.<br><br>The datasets consist of two key components: (1) File “EAIR_system_dataset.zip” contains our collected 80 EAIR system projects from industry, academic, and open-source platforms (e.g., GitHub); (2) Based on the bug reports from these EAIR system projects , we manually investigate and collect a dataset containing 885 EAIR bugs, as shown in File “EAIR_bug_dataset.zip”<br><br>File “Labeled_bug_sheets.csv” provides our empirical analysis results including the bug causes, bug symptoms, and bug distribution on our collected 885 EAIR bugs.
DOI: 10.15468/dl.84e936
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holobus testaceorufus (Bernhauer, 1923)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018356-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gvkaz
title: Occurrence Download

description: A dataset containing 33484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyphantria cunea (Drury, 1773)"
 ]
}

 The dataset includes 33484 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018357-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/66647538-ed17-4dd2-9af8-962ed0c61177
title: Maps of irrigated area of the Rhine basin developed in the research "Identifying irrigated areas using land surface temperature and hydrological modelling: Application to Rhine basin"

description: Annual irrigation maps and frequency data for the Rhine basin derived from hydrological modeling and land surface temperature.
DOI: 10.4121/66647538-ed17-4dd2-9af8-962ed0c61177.v1
title: Irrigated maps of the Rhine basin

description: Annual irrigation maps and frequency data for the Rhine basin derived from hydrological modeling and land surface temperature.
DOI: 10.4121/66647538-ed17-4dd2-9af8-962ed0c61177.v2
title: Maps of irrigated area of the Rhine basin developed in the research "Identifying irrigated areas using land surface temperature and hydrological modelling: Application to Rhine basin"

description: Annual irrigation maps and frequency data for the Rhine basin derived from hydrological modeling and land surface temperature.
DOI: 10.4121/66647538-ed17-4dd2-9af8-962ed0c61177.v3
title: Maps of irrigated area of the Rhine basin developed in the research "Identifying irrigated areas using land surface temperature and hydrological modelling: Application to Rhine basin"

description: Annual irrigation maps and frequency data for the Rhine basin derived from hydrological modeling and land surface temperature.
DOI: 10.15468/dl.vx2vey
title: Occurrence Download

description: A dataset containing 733 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scotinophara lurida (Burmeister, 1834)"
 ]
}

 The dataset includes 733 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018358-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15056320
title: Datasets from Sapiens project

description: Datasets resulting from the pilots conducted in the frame of the Sapiens project

 

This research was supported by the Spanish Ministry of Economy, Industry and Competitiveness Grant PID2020-115137RB-I00 funded by MCIN/AEI/10.13039/501100011033
DOI: 10.5281/zenodo.15056321
title: Datasets from Sapiens project

description: Datasets resulting from the pilots conducted in the frame of the Sapiens project

 

This research was supported by the Spanish Ministry of Economy, Industry and Competitiveness Grant PID2020-115137RB-I00 funded by MCIN/AEI/10.13039/501100011033
DOI: 10.15468/dl.257tfa
title: Occurrence Download

description: A dataset containing 67648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.09614 43.10091,5.63 43.10091,5.63 44.20506,4.09614 44.20506,4.09614 43.10091))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "HostingOrganizationKey is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 67648 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018353-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15036280
title: WWXSS: Cross-site scripting (XSS) in web workers
DOI: 10.5281/zenodo.15036281
title: WWXSS: Cross-site scripting (XSS) in web workers
DOI: 10.15468/dl.ztdrp7
title: Occurrence Download

description: A dataset containing 109293 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylloscopus fuscatus (Blyth, 1842)"
 ]
}

 The dataset includes 109293 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018349-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e222741
title: Tased-Based Inequality

description: Many economic allocation decisions involve subjective judgment. This judgment may be perceived as fair when needs are considered but may seem unjust in cases of personal-taste discrimination. In an experimental impartial-spectator design, we explore perceptions of taste-based inequality and compare them to attitudes towards inequalities grounded in objective procedures, namely, merit and luck. We find that while taste-based inequality is perceived distinctly, it is treated as unfair, similar to luck and unlike merit. Additionally, our work suggests that the perception of merit as more fair than luck is primarily driven by individuals with above-average income.
DOI: 10.3886/e222741v1
title: Tased-Based Inequality

description: Many economic allocation decisions involve subjective judgment. This judgment may be perceived as fair when needs are considered but may seem unjust in cases of personal-taste discrimination. In an experimental impartial-spectator design, we explore perceptions of taste-based inequality and compare them to attitudes towards inequalities grounded in objective procedures, namely, merit and luck. We find that while taste-based inequality is perceived distinctly, it is treated as unfair, similar to luck and unlike merit. Additionally, our work suggests that the perception of merit as more fair than luck is primarily driven by individuals with above-average income.
DOI: 10.15468/dl.5aqk9z
title: Occurrence Download

description: A dataset containing 2973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aegialia arenaria (Fabricius, 1787)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2973 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018360-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15056122
title: CBCT projection images of phantoms

description: This dataset contains projection images of three different cone beam CT acquisitions.



A synthetic CBCT scan of a numerical phantom with bone insets using an X-ray source with a known spectrum.

A CBCT scan of a skull using the Hi-Res mode of the Morita 3D Accuitomo 170 device.

A motion-impaired CBCT scan of a skull using the standard mode of the Morita 3D Accuitomo 170 device.
DOI: 10.5517/ccdc.csd.cc29ydb0
title: CCDC 2143412: Experimental Crystal Structure Determination

description: Related Article: Fatma Garci, Hammouda Chebbi, Nahal Rouzbeh, Leonhard Rochels, Sabrina Disch, Axel Klein, Mohamed Faouzi Zid|2022|Inorg.Chim.Acta|539|121003|doi:10.1016/j.ica.2022.121003
description: Related Article: Fatma Garci|2022|CSD Communication|||
description: Related Article: Fatma Garci, Hammouda Chebbi, Nahal Rouzbeh, Leonhard Rochels, Sabrina Disch, Axel Klein, Mohamed Faouzi Zid|2022|Inorg.Chim.Acta|539|121003|doi:10.1016/j.ica.2022.121003
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28r45c
title: CCDC 2107602: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2021|CSD Communication|||
description: Related Article: Liang Jin, Jun Ying, Yanping Zhang, Chenxi Sun, Aixiang Tian, Xiuli Wang|2022|New J.Chem.|46|8422|doi:10.1039/D2NJ00674J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28wgtg
title: CCDC 2111776: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2021|CSD Communication|||
description: Related Article: Liang Jin, Jun Ying, Yanping Zhang, Chenxi Sun, Aixiang Tian, Xiuli Wang|2022|New J.Chem.|46|8422|doi:10.1039/D2NJ00674J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28wd0l
title: CCDC 2111689: Experimental Crystal Structure Determination

description: Related Article: Liang Jin, Yanping Zhang, Chenxi Sun, Jun Ying, Aixiang Tian|2022|Inorg.Chim.Acta|541|121088|doi:10.1016/j.ica.2022.121088
description: Related Article: Yingyu Li|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28zcsf
title: CCDC 2114565: Experimental Crystal Structure Determination

description: Related Article: Liang Jin, Yanping Zhang, Chenxi Sun, Jun Ying, Aixiang Tian|2022|Inorg.Chim.Acta|541|121088|doi:10.1016/j.ica.2022.121088
description: Related Article: Yingyu Li|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.gv5pt2
title: Occurrence Download

description: A dataset containing 2196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Entacmaea quadricolor (Leuckart, 1828))",
 "EventDate is greater than or equal to 1950"
 ]
}

 The dataset includes 2196 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018361-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryzm3q
title: Occurrence Download

description: A dataset containing 1551072 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1960-2000"
 ]
}

 The dataset includes 1551072 records from 597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018344-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atkwhv
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Tabebuia rosea (Bertol.) Bertero ex A.DC.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 189 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045929-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atndkr
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asthenes cactorum Koepcke, 1959"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142952-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mvck5
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wikstroemia retusa A.Gray"
 ]
}

 The dataset includes 50 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045930-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek42fh
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Eristalinus aeneus (Scopoli, 1763)"
 ]
}

 The dataset includes 354 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222751-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.