cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hidj1h
title: Occurrence Download

description: A dataset containing 1190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Geokichla guttata (Vigors, 1831)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1190 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021726-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdmxnu
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peperomia aurorana Trel. & Standl."
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181711-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e7p0p
title: Occurrence Download

description: A dataset containing 5777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zamia L."
 ]
}

 The dataset includes 5777 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000106-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7826a
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Indigofera hebepetala Benth. ex Baker, Indigofera hebepetala Bentham, 1876, Indigofera hebepetala var. hebepetala, Indigofera hebepetala f. hebepetala, Indigofera hebepetala f. glabra Benth. ex Baker, 1979, Indigofera hebepetala var. glabra Ali, Indigofera hebepetala f. glabra Benth., Indigofera hebepetala f. glabra (Ali) H.Ohashi)"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004549-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khce8m
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parodia carambeiensis (Buining & Brederoo) Hofacker"
 ]
}

 The dataset includes 23 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181710-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvrh7m
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mazama americana (Erxleben, 1777)"
 ]
}

 The dataset includes 43 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125585-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qymafb
title: Occurrence Download

description: A dataset containing 337704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2017-2017"
 ]
}

 The dataset includes 337704 records from 590 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059767-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bjjzn
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Erica caffra caffra)"
 ]
}

 The dataset includes 307 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000152-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8s3a24
title: Occurrence Download

description: A dataset containing 1519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Grus monacha"
 ]
}

 The dataset includes 1519 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000153-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30121708
title: Optimizing Coach–Athlete Relationships: How Team Identification, Emotional Intelligence, and Age Influence the Effects of Perceived Coach Behavior

description: <b><i>Objective</i></b> Grounded in Social Identity Theory and Emotion Regulation Theory, this study investigates the mediating role of team identification (TI) in the relationship between perceived coach behavior (PCB) and the coach–athlete relationship (CAR), as well as the independent and interactive moderating effects of emotional intelligence (EI) and age. <b><i>Methods</i></b> A cross-sectional survey was administered to 581 athletes from provincial-level competitive sports teams in China. <b><i>Results</i></b><b> </b>The results revealed the following: (1) perceived positive coaching behaviors—including training and instruction, democratic behavior, social support, and positive feedback—significantly enhanced TI, which in turn positively predicted CAR. Conversely, autocratic behavior diminished TI and subsequently weakened CAR; (2) EI significantly moderated the second stage of the mediation pathway (TI → CAR), such that TI exerted a stronger predictive effect on CAR among athletes with lower EI; and (3) the moderating effect of EI was further moderated by age—specifically, it was significant among younger athletes but diminished and became nonsignificant among older athletes. <b><i>Conclusion</i></b> These findings underscore a dual-moderated mediation model through which PCB shapes CAR and reveal the boundary conditions under which interpersonal and psychological variables exert their influence. Practically, the results offer actionable insights for optimizing coaching strategies: younger athletes or those with lower EI may benefit more from a strong team identity and supportive coaching climate, while older or emotionally intelligent athletes may respond better to individualized leadership and communication approaches.
DOI: 10.6084/m9.figshare.30121708.v1
title: Optimizing Coach–Athlete Relationships: How Team Identification, Emotional Intelligence, and Age Influence the Effects of Perceived Coach Behavior

description: <b><i>Objective</i></b> Grounded in Social Identity Theory and Emotion Regulation Theory, this study investigates the mediating role of team identification (TI) in the relationship between perceived coach behavior (PCB) and the coach–athlete relationship (CAR), as well as the independent and interactive moderating effects of emotional intelligence (EI) and age. <b><i>Methods</i></b> A cross-sectional survey was administered to 581 athletes from provincial-level competitive sports teams in China. <b><i>Results</i></b><b> </b>The results revealed the following: (1) perceived positive coaching behaviors—including training and instruction, democratic behavior, social support, and positive feedback—significantly enhanced TI, which in turn positively predicted CAR. Conversely, autocratic behavior diminished TI and subsequently weakened CAR; (2) EI significantly moderated the second stage of the mediation pathway (TI → CAR), such that TI exerted a stronger predictive effect on CAR among athletes with lower EI; and (3) the moderating effect of EI was further moderated by age—specifically, it was significant among younger athletes but diminished and became nonsignificant among older athletes. <b><i>Conclusion</i></b> These findings underscore a dual-moderated mediation model through which PCB shapes CAR and reveal the boundary conditions under which interpersonal and psychological variables exert their influence. Practically, the results offer actionable insights for optimizing coaching strategies: younger athletes or those with lower EI may benefit more from a strong team identity and supportive coaching climate, while older or emotionally intelligent athletes may respond better to individualized leadership and communication approaches.
DOI: 10.5281/zenodo.10521142
title: Ague Cove - RGB (June 28, 2023)

description: This orthomosaic of Ague Cove in Dededo, Guam was created from 230 images taken on June 28 2023, at 400 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UgCS application and post-processed using DroneDeploy. 

This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.10521143
title: Ague Cove - RGB (June 28, 2023)

description: This orthomosaic of Ague Cove in Dededo, Guam was created from 230 images taken on June 28 2023, at 400 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UgCS application and post-processed using DroneDeploy. 

This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.15468/dl.ahbf8b
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Perdix dauuricae"
 ]
}

 The dataset includes 65 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000155-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6sx3c
title: Occurrence Download

description: A dataset containing 114505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((114 29,120 29,120 35,114 35,114 29))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, NT, LC, DD, NE, VU, EN)",
 "OccurrenceStatus is Present",
 "Year 1980-2020"
 ]
}

 The dataset includes 114505 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000107-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.degm3r
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Perdix perdix"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000156-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wscw4g
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Streptopelia chinensis"
 ]
}

 The dataset includes 493 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000159-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10369079
title: Ugum - NDVI (October 2023)

description: This orthomosaic of Ugum Watershed in Talofofo, Guam was created from 1584 images taken on 45219, at 400 ft AGL, with a DJI Mavic 3M. The mission was planned using the DJI Pilot application and post-processed using Pix4Dfields. 

This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.10369080
title: Ugum - NDVI (October 2023)

description: This orthomosaic of Ugum Watershed in Talofofo, Guam was created from 1584 images taken on 45219, at 400 ft AGL, with a DJI Mavic 3M. The mission was planned using the DJI Pilot application and post-processed using Pix4Dfields. 

This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.15531867
title: BatteryLife_Processed

description: News



[June 3rd]: Released v6, adding the complete Stanford dataset as "Stanford_2" (now including both releases of the Stanford dataset). We also corrected data statistics in the readme documents.

[Apr. 29th 18:00 pm]: We found that some "SOC_interval" records in the ISU_ILCC dataset were wrong. We have fixed the wrong "SOC_interval" records in version v5.

[Mar. 5th]: Due to some network issues, only the data since Mar. 5th, 2025 are complete. Please download the data of version v4 from Zenodo or download the datasets from Huggingface since Mar. 5th, 2025.


Note: Time is (Anywhere on Earth time zone).

 

Here is the processed dataset for our publication, "BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction".

 

The purpose of proposing this data is to facilitate battery life prediction research. It is also possible to use the processed datasets for other battery informatics tasks. This dataset consists of four sub-datasets: Li-ion, Zn-ion, Na-ion, and CALB datasets. It includes 990 batteries, 8 different battery formats, 59 different chemical systems, 9 different operation temperatures, and 421 different charge/discharge protocols in a uniform data format. Other details can be found in README.md in each sub-dataset. The life labels of the processed batteries are in "Life Labels.zip".

 

The official repository for preprocessing and benchmarking is available at: Ruifeng-Tan/BatteryLife: The official BatteryLife repository (github.com). If you use the data, you should cite the BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction and the original papers that produced the data. The updated code of conduct is shown in the Github repository.

 

If you are interested in contributing, please contact us via email at rtan474@connect.hkust-gz.edu.cn and whong719@connect.hkust-gz.edu.cn.
DOI: 10.5281/zenodo.10416847
title: Taguan - RGB (June 2023)

description: This orthomosaic of the Taguan site in Mangilao, Guam was created from 370 images taken on June 15 2023, at 400 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. 

This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR, and the National Weather Service Guam retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited. By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for damage assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and the National Weather Service Guam disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.10416846
title: Taguan - RGB (June 2023)

description: This orthomosaic of the Taguan site in Mangilao, Guam was created from 370 images taken on June 15 2023, at 400 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. 

This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR, and the National Weather Service Guam retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited. By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for damage assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and the National Weather Service Guam disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.