cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5220430
title: Net community production, nutrients, and hydrographic parameters in the South China Sea in summer 2017

description: In summer, the Vietnam Offshore Current (VOC) and the Kuroshio intrusion are two important processes provoking considerable environmental fluctuations in the South China Sea (SCS). Net community production (NCP) is an important proxy of biological pump strength and can be estimated based on the dissolved oxygen to argon ratio (O<sub>2</sub>/Ar) in the mixed layer. To determine the influence of the VOC and Kuroshio intrusion on the NCP in the oligotrophic SCS, we conducted high-resolution underway measurements of O<sub>2</sub>/Ar and hydrographic parameters using membrane inlet mass spectrometry (MIMS, HPR-40, Hiden, UK) and multi-parameter water quality logger (RBR Maestro, Canada) during the cruise in the northeastern SCS in summer 2017. NCP in the mixed layer was estimated using the supersaturation of O<sub>2</sub>/Ar (Delta O<sub>2</sub>/Ar) and gas transfer velocity (k). All the underway observation data were compiled into the 5-min interval. To monitor the nutritive fluctuations induced by the VOC and Kuroshio intrusion, we also collected surface water samples from Niskin bottles at sampling stations for the nutrients analysis; the nutrients were then determined by an auto-analyzer. We divided the cruise into three phases (Phase 1, 2, and 3); Phase 1 was dominated by the Kuroshio intrusion, while Phase 3 was influenced by the VOC. Because the upwelling driven by cyclonic eddies and typhoons could introduce considerable uncertainties to the NCP result, we excluded the data obtained in the upwelling regions.
DOI: 10.5281/zenodo.6403832
title: DATA for Wang et al 2022 GRL

description: SABER NO cooling data and WACCM-X simulations used in the paper: "Thermospheric Nitric Oxide Cooling Responses to the December 14, 2020 Solar Eclipse"
DOI: 10.5281/zenodo.6403831
title: DATA for Wang et al 2022 GRL

description: SABER NO cooling data and WACCM-X simulations used in the paper: "Thermospheric Nitric Oxide Cooling Responses to the December 14, 2020 Solar Eclipse"
DOI: 10.6084/m9.figshare.19473626.v1
title: Results_RIDL

description: Population dynamics of OX513A-modified Ae. aegypti mosquitoes.
DOI: 10.6084/m9.figshare.19473626
title: Results_RIDL

description: Population dynamics of OX513A-modified Ae. aegypti mosquitoes.
DOI: 10.6084/m9.figshare.19492130
title: Results_WOLBACHIA

description: Population dynamics of Wolbachia-infected Ae. aegypti mosquitoes.
DOI: 10.6084/m9.figshare.19492130.v1
title: Results_WOLBACHIA

description: Population dynamics of Wolbachia-infected Ae. aegypti mosquitoes.
DOI: 10.6084/m9.figshare.19492157.v1
title: deplink_outputs_for_84modules

description: deplink_outputs_for_84modules
DOI: 10.6084/m9.figshare.19492157
title: deplink_outputs_for_84modules

description: deplink_outputs_for_84modules
DOI: 10.5281/zenodo.5636429
title: WildfireDB: An Open-Source Dataset Connecting Wildfire Spread with Relevant Determinants

description: Modeling fire spread is critical in fire risk management. Creating data-driven models to forecast spread remains challenging due to the lack of comprehensive data sources that relate fires with relevant covariates. We present the first comprehensive and open-source dataset that relates historical fire data with relevant covariates such as weather, vegetation, and topography. Our dataset, named <em>WildfireDB</em>, contains over 17 million data points that capture how fires spread in the continental USA in the last decade. The paper accompanying this dataset is part of the 2021 Neural Information Processing Systems (NeurIPS) Dataset and Benchmark Track. The paper describes the algorithmic approach used to create and integrate the data, describe the dataset, and present benchmark results regarding data-driven models that can be learned to forecast the spread of wildfires. Please see https://colab.research.google.com/drive/1cm2Z4E0HzXMAcuUrE26wHXL2FS_pIj3t?usp=sharing for an introduction about how to load the database using python (pandas).
description: Author SS was funded by Agriculture and Food Research Initiative Competitive Grants no. 2019-67022-29696 and 2020-69012-31914 from the USDA National Institute of Food and Agriculture, AM was funded by the Center of Automotive Research at Stanford (CARS) and National Science Foundation Award Number IIS181495, MW was funded by National Science Foundation Award Number IIS181495, and TD was funded by the Department of Management Science and Engineering at Stanford University.
DOI: 10.5281/zenodo.5636428
title: WildfireDB: An Open-Source Dataset Connecting Wildfire Spread with Relevant Determinants

description: Modeling fire spread is critical in fire risk management. Creating data-driven models to forecast spread remains challenging due to the lack of comprehensive data sources that relate fires with relevant covariates. We present the first comprehensive and open-source dataset that relates historical fire data with relevant covariates such as weather, vegetation, and topography. Our dataset, named <em>WildfireDB</em>, contains over 17 million data points that capture how fires spread in the continental USA in the last decade. The paper accompanying this dataset is part of the 2021 Neural Information Processing Systems (NeurIPS) Dataset and Benchmark Track. The paper describes the algorithmic approach used to create and integrate the data, describe the dataset, and present benchmark results regarding data-driven models that can be learned to forecast the spread of wildfires. Please see https://colab.research.google.com/drive/1cm2Z4E0HzXMAcuUrE26wHXL2FS_pIj3t?usp=sharing for an introduction about how to load the database using python (pandas).
description: Author SS was funded by Agriculture and Food Research Initiative Competitive Grants no. 2019-67022-29696 and 2020-69012-31914 from the USDA National Institute of Food and Agriculture, AM was funded by the Center of Automotive Research at Stanford (CARS) and National Science Foundation Award Number IIS181495, MW was funded by National Science Foundation Award Number IIS181495, and TD was funded by the Department of Management Science and Engineering at Stanford University.
DOI: 10.34863/802t-xs70
title: Dataset: Canonical approach to cation flux calibration in oxide molecular-beam epitaxy
DOI: 10.25442/hku.19487396
title: Data in the paper titled "#WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic"

description: Social media can be both a source of information and misinformation during health emergencies. During the COVID-19 pandemic, social media became a ubiquitous tool for people to communicate and represents a rich source of data researchers can use to analyse users’ experiences, knowledge and sentiments. Research on social media posts during COVID-19 has identified, to date, the perpetuity of traditional gendered norms and experiences. Yet these studies are mostly based on Western social media platforms. Little is known about gendered experiences of lockdown communicated on non-Western social media platforms. Using data from Weibo, China’s leading social media platform, we examine gendered user patterns and sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo posts by self-identified women and men conformed with some gendered norms identified on other social media platforms during the COVID-19 pandemic (posting patterns and keyword usage) but not all (sentiment). This insight may be important for targeted public health messaging on social media during future health emergencies.<br>To cite: Gan CCR, Feng SA, Feng H, et al. #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic. BMJ Global Health 2022;0:e008149. doi:10.1136/bmjgh-2021-008149
DOI: 10.25442/hku.19487396.v1
title: Data in the paper titled "#WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic"

description: Social media can be both a source of information and misinformation during health emergencies. During the COVID-19 pandemic, social media became a ubiquitous tool for people to communicate and represents a rich source of data researchers can use to analyse users’ experiences, knowledge and sentiments. Research on social media posts during COVID-19 has identified, to date, the perpetuity of traditional gendered norms and experiences. Yet these studies are mostly based on Western social media platforms. Little is known about gendered experiences of lockdown communicated on non-Western social media platforms. Using data from Weibo, China’s leading social media platform, we examine gendered user patterns and sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo posts by self-identified women and men conformed with some gendered norms identified on other social media platforms during the COVID-19 pandemic (posting patterns and keyword usage) but not all (sentiment). This insight may be important for targeted public health messaging on social media during future health emergencies.<br>To cite: Gan CCR, Feng SA, Feng H, et al. #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic. BMJ Global Health 2022;0:e008149. doi:10.1136/bmjgh-2021-008149
DOI: 10.6084/m9.figshare.19444241
title: Genome data of Phascolosoma esculenta

description: Genome assemble and annotation of Phascolosoma esculenta
DOI: 10.6084/m9.figshare.19444241.v1
title: Genome data of Phascolosoma esculenta

description: Genome assemble and annotation of Phascolosoma esculenta
DOI: 10.34740/kaggle/dsv/3390462
title: dataunet
DOI: 10.3886/e113602v1-113900
title: Replication data for: The Girl Next Door: The Effect of Opposite Gender Friends on High School Achievement

description: This paper finds that a student's share of opposite gender school friends negatively affects high school GPA. It uses the gender composition of schoolmates in an individual's neighborhood as an instrument for the gender composition of an individual's self-reported friendship network. The effect occurs across all subjects for students older than 16, but only in mathematics and science for younger students. Additional results indicate effects may operate inside the classroom through difficulties getting along with the teacher and paying attention, and outside the classroom through romantic relationships. (JEL I21, J13, J16)
DOI: 10.3886/e113602v1-113901
title: Replication data for: The Girl Next Door: The Effect of Opposite Gender Friends on High School Achievement

description: This paper finds that a student's share of opposite gender school friends negatively affects high school GPA. It uses the gender composition of schoolmates in an individual's neighborhood as an instrument for the gender composition of an individual's self-reported friendship network. The effect occurs across all subjects for students older than 16, but only in mathematics and science for younger students. Additional results indicate effects may operate inside the classroom through difficulties getting along with the teacher and paying attention, and outside the classroom through romantic relationships. (JEL I21, J13, J16)
DOI: 10.34820/fk2/iczzcn/qxhqft
title: bardensityY3_G0.5_B1_G'0.0005_t50_100.tab

description: :unav
DOI: 10.34820/fk2/iczzcn
title: Environment System simulation data

description: This is one of trial dataset of grassland simulation
DOI: 10.6084/m9.figshare.19492175
title: Data for label placement

description: Multiple geographical feature label placement (MGFLP) has been a fundamental problem in cartographic visualization over the decades. The nature of label placement is proven NP-hard, where the complexity of such a problem is directly influenced by the volume of input datasets.
DOI: 10.6084/m9.figshare.19492175.v1
title: Data for label placement

description: Multiple geographical feature label placement (MGFLP) has been a fundamental problem in cartographic visualization over the decades. The nature of label placement is proven NP-hard, where the complexity of such a problem is directly influenced by the volume of input datasets.
DOI: 10.6084/m9.figshare.19492211
title: MUSCLEMOTION Test

description: Results of test with MUSCLEMOTION
DOI: 10.6084/m9.figshare.19492229
title: Area.zip

description: Engineered heart tissues
DOI: 10.6084/m9.figshare.19492493
title: Supplementary materials for the manuscript entitled: "In silico capsule locus typing for serovar prediction of Actinobacillus pleuropneumoniae"

description: Supplementary materials for the manuscript entitled: "<i>In silico</i> capsule locus typing for serovar prediction of <i>Actinobacillus pleuropneumoniae</i>"
DOI: 10.6084/m9.figshare.19492493.v1
title: Supplementary materials for the manuscript entitled: "In silico capsule locus typing for serovar prediction of Actinobacillus pleuropneumoniae"

description: Supplementary materials for the manuscript entitled: "<i>In silico</i> capsule locus typing for serovar prediction of <i>Actinobacillus pleuropneumoniae</i>"
DOI: 10.6084/m9.figshare.17030093
title: Hyperosmotic Stress Induces Phosphorylation of CERT and Enhances Its Tethering Throughout the Endoplasmic Reticulum

description: Unprocessed immunofluorescence images in Figure 3 of the article published in <i>International Journal of Molecular Sciences</i> entitled as “Hyperosmotic Stress Induces Phosphorylation of CERT and Enhances Its Tethering Throughout the Endoplasmic Reticulum”, and the analyzed data are deposited in this figshare site.<br>Other unprocessed images such as Western blotting or TLC images obtained in this study are shown in Supplementary Materials Figure S1 in the article.<br>
DOI: 10.6084/m9.figshare.17030093.v1
title: Hyperosmotic Stress Induces Phosphorylation of CERT and Enhances Its Tethering Throughout the Endoplasmic Reticulum

description: Unprocessed immunofluorescence images in Figure 3 of the article published in <i>International Journal of Molecular Sciences</i> entitled as “Hyperosmotic Stress Induces Phosphorylation of CERT and Enhances Its Tethering Throughout the Endoplasmic Reticulum”, and the analyzed data are deposited in this figshare site.<br>Other unprocessed images such as Western blotting or TLC images obtained in this study are shown in Supplementary Materials Figure S1 in the article.<br>
DOI: 10.6084/m9.figshare.19493060
title: Focus Groups on Data Sharing and Research Data Management with Scientists from Five Disciplines

description: This dataset resulted from conducting focus groups with scientists from five disciplines (atmospheric and earth science, chemistry, computer science, ecology, and neuroscience) about data management to lead into a discussion of what features they think are necessary to include in data repository systems and services to help them implement the data sharing and preservation parts of their data management plans. Participants identified metadata quality control and training as problem areas in data management. Participants discussed several desired repository features, including: metadata control, data traceability, security, stable infrastructure, and data use restrictions. Our dataset includes five anonymized focus group transcripts in .pdf file format (one for each focus group with scientists from each discipline), our codebook as a spreadsheet in excel file format (.xlsx), and coded segments of our transcript text to visualize our data analysis in an excel spreadsheet in excel file format (.xlsx).
DOI: 10.6084/m9.figshare.19493544.v1
title: datasets from Increased signal complexity is associated with increased mating success

description: csv files with data for data analysis
DOI: 10.6084/m9.figshare.19493544
title: datasets from Increased signal complexity is associated with increased mating success

description: csv files with data for data analysis
DOI: 10.6084/m9.figshare.19493547
title: R codes for data analysis from Increased signal complexity is associated with increased mating success

description: R codes for data analysis
DOI: 10.6084/m9.figshare.19493547.v1
title: R codes for data analysis from Increased signal complexity is associated with increased mating success

description: R codes for data analysis
DOI: 10.48677/dee7e676-6797-4480-b67c-9f34c6ea6448
title: KM50-R CRS25833Res50000mN5250000E250000 1230-1 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/7b915a05-1af0-4079-a44a-de4e70d01e82
title: KM50-R CRS25833Res50000mN5200000E250000 1230-3 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/91f216ec-3be7-4077-ab19-6603c8c8d5da
title: KM50-R CRS25833Res50000mN5150000E250000 1220-1 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/2f3b2571-b5d6-4c58-b8a5-f458d24d9fc9
title: KM50-R CRS25833Res50000mN5350000E300000 1340-0 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5281/zenodo.5582714
title: Data from a three-phase Delphi study used to investigate Knowledge Infrastructure for Research Data in Norway, KIRDN_Data; PhD project

description: A modified three-phase Delphi study was used to explore the knowledge infrastructure for research data in Norway. The study includes different stakeholders involved in research data sharing. A Delphi study is characterised by the use of an expert panel to elicit opinions on a shared reality from different perspectives. Data collection is performed in several rounds with the intention of reaching consensus or solving an issue. A group of 24 experts took part in the study. The group consisted of policy-makers, representatives of national service providers, and researchers and research support staff from four Norwegian universities. The participants were invited based on their involvement in the development of policies, infrastructure or data-related research support. The research support staff were recruited to include representatives from different research support services at the universities, including libraries, research offices and IT departments. While the researchers were selected from based on their receival of EU funding with requirements of data management plans. Data were collected in three phases. The first phase, the ‘exploration phase’, was conducted using open interviews lasting approximately one hour in January/February 2018. The purpose of this phase was to obtain an initial overview of the panel members opinions’ on issues regarding research data management. In the second phase, the ‘evaluation phase’, conducted in August/September 2018, participants answered a survey containing nine questions on topics such as data stewardship, DMPs, ethical aspects of data sharing and core functions in a research data infrastructure. The survey was designed to further explore issues and tensions uncovered in the first interviews. Several of the questions were formulated as statements that the participants were asked to agree or disagree upon. The third, ‘concluding phase’ was conducted using interviews in March/April 2019. These interviews lasted approximately 30 minutes and were based on results from the questionnaire as well as the first interview. Participants were asked whether they had thoughts on the preliminary findings of the study. Based on requests from some of the participants, the questions were sent to all participants prior to the data collection, in all three phases. The participants were also sent the transcripts from the interviews and were asked for permission to share the complete material or parts of the data material to which they contributed.