cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bbqz86
title: Occurrence Download

description: A dataset containing 59719508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "Year 2020-2020"
 ]
}

 The dataset includes 59719508 records from 6873 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050333-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ee3bw7
title: Occurrence Download

description: A dataset containing 614578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argonautidae, Ommastrephidae, Ocythoidae, Mysidae, Cancridae, Grapsidae, Strongylocentrotidae, Echinometridae, Echinometradae, Crangonidae, Goneplacidae, Xanthidae, Euphausiidae, Pasiphaeidae, Oikopleuridae, Paracalanidae, Centropagidae, Corycaeidae, Clausocalanidae, Calanidae, Eucalanidae, Rhincalanidae, Aetideidae, Euchaetidae, Scolecitrichidae, Candaciidae, Temoridae, Oithonidae, Sapphirinidae, Oncaeidae, Caligidae, Ectinosomatidae, Pinnotheridae, Alloposidae, Majidae, Ophiuridae, Hyperiidae, Physaliidae, Porpitidae, Diphyidae, Ulmaridae, Pandeidae, Periphyllidae, Atelecyclidae, Penaeidae, Sepiidae, Vampyroteuthidae, Munididae, Leucosiidae, Sergestidae, Salpidae, Squillidae, Vitreledonellidae, Amphitretidae, Ocypodidae, Pandalidae, Spongicolidae, Lithodidae, Sepiolidae, Onychoteuthidae, Gonatidae, Goniatidae, Alpheidae, Palaemonidae, Stichopodidae, Callionymidae, Gobiidae, Myctophidae, Oplophoridae, Luidiidae, Asteriidae, Asteiidae, Enoploteuthidae, Octopodidae, Sternoptychidae, Tremoctopodidae, Hippolytidae, Paguridae, Parapaguridae, Sagittidae, Loliginidae, Stenothoidae, Melitidae, Dogielinotidae, Ampeliscidae, Atylidae, Dexaminidae, Liljeborgiidae, Oedicerotidae, Tryphosidae, Pleustidae, Pontogeneiidae, Pseudocrangonyctidae, Portunidae, Caprellidae, Ischyroceridae, Mytilidae, Nuculanidae, Propeamussiidae, Yoldiidae, Pectinidae, Semelidae, Anomiidae, Veneridae, Tellinidae, Solenidae, Arcidae, Anatinellidae, Laternulidae, Mactridae, Nuculidae, Nereididae, Oenonidae, Eunicidae, Polynoidae, Lumbrineridae, Alciopidae, Aphroditidae, Sternaspidae, Glyceridae, Pectinariidae, Trichobranchidae, Syllidae, Goniadidae, Magelonidae, Nassariidae, Turritellidae, Cylichnidae, Scaphandridae, Muricidae, Buccinidae, Atlantidae, Turbinidae, Haliotidae, Trochidae, Naticidae, Conidae, Littorinidae, Philinidae, Mitridae, Columbellidae, Potamididae, Nacellidae, Rissoidae, Anatomidae, Margaritidae, Pyramidellidae, Fissurellidae, Acteonidae, Naviculaceae, Rhaphoneidaceae, Catenulaceae, Achnanthaceae, Rhabdonemataceae, Thalassiosiraceae, Thallassiosiraceae, Chaetocerotaceae, Coscinodiscaceae, Melosiraceae, Skeletonemaceae, Skeletonemataceae, Hemiaulaceae, Zosteraceae, Laminariaceae, Sargassaceae, Ulvaceae, Gelidiaceae, Halymeniaceae, Alariaceae, Cavoliniidae, Limacinidae, Clionaidae, Cliidae, Balanidae, Pyrgomatidae, Lepadidae, Scalpellidae, Chthamalidae, Tetraclitidae)",
 "Geometry POLYGON((179 20, 179 50, 120 50, 120 20, 179 20))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 614578 records from 550 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006697-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14978032
title: Comprehensive characterization of the inflammatory ecosystems in immunotherapy-induced adverse events versus chronic inflammatory diseases

description: Analysis codes used for the article "Comprehensive characterization of the inflammatory ecosystems in immunotherapy-induced adverse events versus chronic inflammatory diseases"
DOI: 10.5281/zenodo.14978033
title: Comprehensive characterization of the inflammatory ecosystems in immunotherapy-induced adverse events versus chronic inflammatory diseases

description: Analysis codes used for the article "Comprehensive characterization of the inflammatory ecosystems in immunotherapy-induced adverse events versus chronic inflammatory diseases"
DOI: 10.15468/dl.mnud4g
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation)",
 "TaxonKey is one of (Leopardus pardalis (Linnaeus, 1758))"
 ]
 }
 ]
}

 The dataset includes 172 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006707-250227182430271/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.28545584
title: Three Decades of Land Cover Changes Shifted Environment-driven Greening towards Browning in Coastal China

description: Dataset and MATLAB code related to the publication of "Three Decades of Land Cover Changes Shifted Environment-driven Greening towards Browning in Coastal China". If you have a question please contact with: lyg9459@stu.ouc.edu.cn
DOI: 10.15468/dl.tsd9dq
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation)",
 "TaxonKey is one of (Herpailurus yaguarondi (Lacépède, 1809))"
 ]
 }
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006681-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pkc8f
title: Occurrence Download

description: A dataset containing 2593837 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2023 Contributions of Plant Specimen Data inside China"
 ]
}

 The dataset includes 2593837 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006706-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35080/data.c.2019.p7
title: The 1∶50 000 Mineral Geological Map Dataset of the Yinkeng Map-sheet, Yudu Au-Ag Multi-metal Ore Integrated Area, South Jiangxi
title: 赣南于都金银多金属矿整装勘查区1∶50 000银坑幅矿产地质图数据集

description: In order to develop this dataset, data were acquired comprehensively by using multiple methods such as mapping which is specific for lithology, structures and mineralized alterations, remote-sensing, geophysical/geochemical and drilling exploration. A route of 520.65km was surveyed, with 2 047 stream sediment samples and 167 chemical analytical samples collected, and 461 km2 area interpreted based on remote-sensing data. Emphasis was placed on survey and division of early-Yanshanian metallogenic magmatite, ore-bearing formations, rock-control and ore-control structures, and mineralized alteration marks etc., so thatit could be verified that the main metallogenic geological bodies for Au-Ag multi-metal ores within the area were early-Yanshanian granodiorite and that the rock-control and ore- control formations were a NE-strike thrust fault and its secondary fissures. Building on this, the 1: 50 000 formation and tectonic map of the Yinkeng Map-sheet was compiled, the mineral geological map dataset was established by using a digital mapping system (DGSS), a map layer property database on key formations & tectonics, geological boundaries, fractures and magmatite etc. was comprehensively compiled; the prospecting prediction model for Yinkeng- style mid-low temperature post-magmatic hydrothermal deposits in the area was improved, highlighting the causal relationship between deposits and the formations or structures in the area.
description: 本数据集综合应用岩性−构造−矿化蚀变专项填图、遥感、物探、化探、钻探等多种方法进行数据采集，完成路线调查长度520.65 km，采集水系沉积物样品2 047件，遥感数据解译面积461 km2，化学分析样167件。重点对燕山早期成矿岩浆岩、含矿建造、控岩控矿构造，以及矿化蚀变标志等进行了调查划分，明确区内银金多金属矿主要成矿地质体为燕山早期花岗闪长岩，控岩控矿构造为北东向逆冲断裂及其次级裂隙。在此基础上，编制了1∶50 000银坑幅建造构造图，利用数字化填图系统（DGSS）创建了区内矿产地质图数据库，全面汇编了重要建造构造、地质界线、断裂、岩浆岩等图层属性库；完善了银坑式中低温岩浆期后热液矿床找矿预测模型，突出了区内矿产与建造构造之间的成因联系。
DOI: 10.6084/m9.figshare.28545614
title: JOH_Dam-induced changes in fractional sediment transport and recovery in the middle-lower Yangtze River

description: This processed dataset contains long-term hydro-sediment data in the Yangtze River, published by CWRC (https://www.cjw.gov.cn/zwzc/zjgb/cjnsgb) and China Three Gorges Corporation (CTGC) (https://www.ctg.com.cn/sxjt/xzzx37/jtnb/index.html), including discharge, sediment load, suspended sediment concentration and sediment grain size.
DOI: 10.6084/m9.figshare.28545614.v1
title: JOH_Dam-induced changes in fractional sediment transport and recovery in the middle-lower Yangtze River

description: This processed dataset contains long-term hydro-sediment data in the Yangtze River, published by CWRC (https://www.cjw.gov.cn/zwzc/zjgb/cjnsgb) and China Three Gorges Corporation (CTGC) (https://www.ctg.com.cn/sxjt/xzzx37/jtnb/index.html), including discharge, sediment load, suspended sediment concentration and sediment grain size.
DOI: 10.21227/6fe7-2167
title: Pcap file containing Malicious packets

description: The dataset of pcap (packet capture) files was generated during real-time malware attacks, providing a rich and diverse range of network traffic patterns. This variability allows for a comprehensive analysis of a broad spectrum of attack techniques, enabling researchers and security professionals to study how different types of cyberattacks manifest within network traffic. These pcap files display varying packet rates and traffic behaviors, making it possible to categorize them into normal, benign network activity and suspicious, potentially harmful traffic using advanced anomaly detection techniques. By identifying deviations from typical traffic patterns, we can distinguish between legitimate traffic and malicious behavior, such as distributed denial-of-service (DDoS) attacks, port scanning, or command-and-control (C2) communication, which is crucial in understanding evolving threat landscapes. This classification process is vital in the development of effective firewall rules that play a significant role in enhancing the network’s security posture. With these rules in place, network defenders can block or limit the flow of suspicious traffic, allowing only legitimate traffic to pass through. By filtering out potentially harmful traffic, the firewall helps mitigate a variety of cyber threats, preventing unauthorized access, data exfiltration, and system compromise. Furthermore, the creation of dynamic firewall rules based on traffic analysis ensures that network defenses can evolve in response to new, sophisticated attack vectors, ultimately strengthening overall network security. This proactive approach to cybersecurity not only helps detect known attack techniques but also provides a solid foundation for defending against future, emerging threats.
DOI: 10.15468/dl.as4cgq
title: Occurrence Download

description: A dataset containing 2918011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Animalia",
 "Year 1000-2025"
 ]
}

 The dataset includes 2918011 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006705-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vq7be
title: Occurrence Download

description: A dataset containing 52056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostemma githago L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 52056 records from 671 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006680-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpyupu
title: Occurrence Download

description: A dataset containing 44584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "Geometry POLYGON((116.36904 40.00837,116.40159 40.00802,116.40421 40.03109,116.39293 40.03287,116.36726 40.02878,116.36904 40.00837))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44584 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006709-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14978130
title: Game Addiction in the Digitalization Era: The Impact of Technology on Youth Behavior

description: Advancements in communication and information technology have significantly influenced online gaming, transforming it into a vital platform for entertainment and social interaction among youth. Online games now play an essential role in shaping social connections, behavioral patterns, and emotional development. This study examines the impact of technological advancements in online gaming on youth behavior and character by analyzing variables related to social connection, perceived usefulness, online game loyalty, and game addiction. Data were collected from 427 respondents (65% male, 35% female) aged 18–24, with 75% from Jakarta and the remainder from Bandung, Surabaya, and Yogyakarta. Respondents were selected using purposive sampling, targeting active gamers who play at least 10 hours per week to ensure the relevance of the data. The study employed surveys, interviews, and literature reviews to provide a comprehensive overview. Statistical analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), which demonstrated strong reliability and validity (Cronbach's alpha > 0.7, AVE > 0.5). The results showed that online gaming positively influences social connectivity (92%) and cognitive skills (89%), providing opportunities for players to enhance teamwork, strategic thinking, and problem-solving abilities. However, the study also found that online gaming can contribute to negative outcomes, including addiction (94%), decreased academic performance, and weakened social relationships due to excessive gaming. Overall, the findings emphasize the dual nature of online gaming's impact on youth, highlighting the need for balanced gaming habits and recommending targeted educational interventions and digital literacy programs to mitigate the negative effects while leveraging the cognitive and social benefits of online gaming.
DOI: 10.5281/zenodo.14978131
title: Game Addiction in the Digitalization Era: The Impact of Technology on Youth Behavior

description: Advancements in communication and information technology have significantly influenced online gaming, transforming it into a vital platform for entertainment and social interaction among youth. Online games now play an essential role in shaping social connections, behavioral patterns, and emotional development. This study examines the impact of technological advancements in online gaming on youth behavior and character by analyzing variables related to social connection, perceived usefulness, online game loyalty, and game addiction. Data were collected from 427 respondents (65% male, 35% female) aged 18–24, with 75% from Jakarta and the remainder from Bandung, Surabaya, and Yogyakarta. Respondents were selected using purposive sampling, targeting active gamers who play at least 10 hours per week to ensure the relevance of the data. The study employed surveys, interviews, and literature reviews to provide a comprehensive overview. Statistical analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), which demonstrated strong reliability and validity (Cronbach's alpha > 0.7, AVE > 0.5). The results showed that online gaming positively influences social connectivity (92%) and cognitive skills (89%), providing opportunities for players to enhance teamwork, strategic thinking, and problem-solving abilities. However, the study also found that online gaming can contribute to negative outcomes, including addiction (94%), decreased academic performance, and weakened social relationships due to excessive gaming. Overall, the findings emphasize the dual nature of online gaming's impact on youth, highlighting the need for balanced gaming habits and recommending targeted educational interventions and digital literacy programs to mitigate the negative effects while leveraging the cognitive and social benefits of online gaming.
DOI: 10.5281/zenodo.14978136
title: Data set for "Spatially resolved charge-transfer kinetics at the quantum dot-microbe interface using FLIM"
DOI: 10.5281/zenodo.14978137
title: Data set for "Spatially resolved charge-transfer kinetics at the quantum dot-microbe interface using FLIM"
DOI: 10.15468/dl.c8fwzb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gnetophyta"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006711-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14978125
title: MEIC-global-NMVOC emissions

description: The MEIC-global-NMVOC emissions for the paper submitted to Atmospheric Chemistry and Physics.
DOI: 10.35080/data.c.2019.p6
title: 1:50 000 Mineral Geological Map Database of the Huaniushan Map-sheet, Gansu
title: 甘肃省花牛山幅1∶50 000矿产地质图数据库

description: 
The 1:50 000 mineral geological map of the Huaniushan map-sheet (K46E017023), Gansu province, is developed in accordance with the Technical Specification for Mineral Geological Survey (1:50 000) and unified standards and requirements in the sector, building on making full use of results from and information of 1:200 000 and 1:50 000, etc. regional geological survey, applying the digital mapping system to plot geology-specific maps in the field and adopting the method integrating indoor and outdoor mapping and compilation. In this map, the formation type of the Nanhua-system–Sinian-system Xichangjing Group, Cambrian-system Xishuangyinshan Formation and Ordovician-system Huaniushan Group is reclassified, the periods of intrusive rocks in the map sheet are included in three periods, i.e. late Ordovician epoch–early Silurian epoch, Devonian period and late Triassic epoch, and the evolutionary sequence of magmatite. The database contains data and information of 12 stratigraphic units and magmatite of three periods, with a data size about 3.77MB. These data fully reflect demonstrative results from the 1:50 000 mineral geological survey, provide a reference to mineral resource research and energy exploration in the area.
description: 甘肃省花牛山幅（K46E017023）1∶50 000矿产地质图是根据《矿产地质调查技术要求（1∶50 000）》和行业的统一标准及要求，在充分利用1∶200 000、1∶50 000等区域地质调查工作成果资料的基础上，采用数字填图系统进行野外地质专项填图，并应用室内与室外填编图相结合的方法完成的。本图对南华系−震旦系洗肠井群、寒武系西双鹰山组、奥陶系花牛山群的建造类型进行了重新划分，把图幅内侵入岩时代归纳为晚奥陶世—早志留世、泥盆纪、晚三叠世等3期，建立了岩浆岩的演化序列。本数据库包含12个地层单位和3期岩浆岩资料，数据量约为3.77 MB。这些数据充分反映了1∶50 000矿产地质调查示范性成果，对该区矿产资源研究、能源勘探等具参考意义。
DOI: 10.5281/zenodo.14977622
title: Video tree sway data for a subalpine fir tree in Niwot Ridge, Colorado

description: This repository includes video and sway frequency data for a subalpine fir tree (Abies lasiocarpa) near the Niwot Ridge Long-Term Ecological Research site in Colorado. Sway frequency data for the given tree was extracted from both video and accelerometer data using the methods described in Ammatelli et al. (In review). 

All times are in Mountain Standard Time.

Video Data 

The included 53-second video was recorded by hand from an AmeriFlux tower adjacent to the target tree. The camera field of view (FOV) includes the accelerometer.

Video camera: iPhone 6, 30 fps, 1080p resolution, 63.5° FOV

Approximate pixel bounding box used for analysis (ymin, ymax, xmin, xmax): (450, 1250, 570, 760)

Filename: niwot-a.mp4

Video date and time: 2015-11-21 09:50:20

Accelerometer Data

The accelerometer data accompanying the included video data is available here: https://zenodo.org/records/5149308

Sway Frequency Data

The tree's sway frequency was extracted from the video and two lengths of accelerometer data: a segment with the same start time and duration as the video and a 30-minute segment.

Filename: niwot_sway.csv

Variables:



name - name of video sample

datetime - start time of video sample

vvs_avg_hz - frequency (Hz) of tree extracted using VVS method with average spectrum aggregation

vvs_hist_hz - frequency (Hz) of tree extracted using VVS method with peak frequency histogram aggregation

acc_53sec_hz - frequency (Hz) of tree extracted from an accelerometer segment with the same start time and duration as the video

acc_30min_hz - frequency (Hz) of tree extracted from a 30-minute accelerometer segment centered on the video start time


See the below paper for more information about the accelerometer data.

Raleigh, M. S., Gutmann, E. D., Van Stan II, J. T., Burns, S. P., Blanken, P. D., & Small, E. E.(2022). Challenges and Capabilities in Estimating Snow Mass Intercepted in Conifer Canopies with Tree Sway Monitoring. Water Resources Research, 58, e2021WR030972. https://doi.org/10.1029/2021WR030972
DOI: 10.5281/zenodo.14977623
title: Video tree sway data for a subalpine fir tree in Niwot Ridge, Colorado

description: This repository includes video and sway frequency data for a subalpine fir tree (Abies lasiocarpa) near the Niwot Ridge Long-Term Ecological Research site in Colorado. Sway frequency data for the given tree was extracted from both video and accelerometer data using the methods described in Ammatelli et al. (In review). 

All times are in Mountain Standard Time.

Video Data 

The included 53-second video was recorded by hand from an AmeriFlux tower adjacent to the target tree. The camera field of view (FOV) includes the accelerometer.

Video camera: iPhone 6, 30 fps, 1080p resolution, 63.5° FOV

Approximate pixel bounding box used for analysis (ymin, ymax, xmin, xmax): (450, 1250, 570, 760)

Filename: niwot-a.mp4

Video date and time: 2015-11-21 09:50:20

Accelerometer Data

The accelerometer data accompanying the included video data is available here: https://zenodo.org/records/5149308

Sway Frequency Data

The tree's sway frequency was extracted from the video and two lengths of accelerometer data: a segment with the same start time and duration as the video and a 30-minute segment.

Filename: niwot_sway.csv

Variables:



name - name of video sample

datetime - start time of video sample

vvs_avg_hz - frequency (Hz) of tree extracted using VVS method with average spectrum aggregation

vvs_hist_hz - frequency (Hz) of tree extracted using VVS method with peak frequency histogram aggregation

acc_53sec_hz - frequency (Hz) of tree extracted from an accelerometer segment with the same start time and duration as the video

acc_30min_hz - frequency (Hz) of tree extracted from a 30-minute accelerometer segment centered on the video start time


See the below paper for more information about the accelerometer data.

Raleigh, M. S., Gutmann, E. D., Van Stan II, J. T., Burns, S. P., Blanken, P. D., & Small, E. E.(2022). Challenges and Capabilities in Estimating Snow Mass Intercepted in Conifer Canopies with Tree Sway Monitoring. Water Resources Research, 58, e2021WR030972. https://doi.org/10.1029/2021WR030972