cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4117656
title: Supplementary material for: "On the selection of time-varying scenarios of wind and ocean waves: methodologies and applications in the North Tyrrhenian Sea"

description: All the routines to perform the clustering of the hindcast data have been developed in Matlab.<br> The code Case_study.m allows to reproduce the examples outlined in chapter 3.2, Figs. 15-16 of the manuscript: "On the selection of time-varying scenarios of wind and ocean waves: methodologies and applications in the North Tyrrhenian Sea" Submitted to "Ocean Modelling" - Elsevier, and currently is available online. The code needs to be fed with the data stored into the "hind_param.mat" and "clusters.mat" files, attached to this repo.<br> Please note that the wave parameters stored into "hind_param.mat" cannot be employed for commercial purposes.<br> In case they are meant to be used for research, reference has to be made to: - Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2013).<br> Developing and validating a forecast/hindcast system for the Mediterranean Sea.<br> Journal of Coastal Research, 65(sp2), 1551-1556. - Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2015).<br> Performance evaluation of Wavewatch III in the Mediterranean Sea.<br> Ocean Modelling, 90, 82-94. For further inquires about the hindcast data, please contact meteocean@dicca.unige.it. Finally, results of the sensitivity analysis of CE and W2 with respect to varying number of clusters are stored into the<br> zip files "CE.zip" and "W2.zip", respectively (Figs. from 2 to 8 of the submitted manuscript).<br> Each *dat file refers to a particular set of the data inital conditions (see manuscript), and it is labeled as follows:<br> "*_[FIRST YEAR OF TRAINING]_[LAST YEAR OF TRAINING]_[FIRST YEAR OF VALIDATION]_[LAST YEAR OF VALIDATION]_<br> [TOTAL NUMBER OF TIME STEPS]_[TIME SHIFT BETWEEN SUCCESSIVE SCENARIOS]_*_[INITIAL TIME RESOLUTION]_*_<br> [VARIABLES EMPLOYED].dat" For further information, please contact Giulia Cremonini at:<br> giulia.cremonini@edu.unige.it
DOI: 10.5281/zenodo.4117655
title: Supplementary material for: "On the selection of time-varying scenarios of wind and ocean waves: methodologies and applications in the North Tyrrhenian Sea"

description: All the routines to perform the clustering of the hindcast data have been developed in Matlab.<br> The code Case_study.m allows to reproduce the examples outlined in chapter 3.2, Figs. 15-16 of the manuscript: "On the selection of time-varying scenarios of wind and ocean waves: methodologies and applications in the North Tyrrhenian Sea" Submitted to "Ocean Modelling" - Elsevier, and currently is available online. The code needs to be fed with the data stored into the "hind_param.mat" and "clusters.mat" files, attached to this repo.<br> Please note that the wave parameters stored into "hind_param.mat" cannot be employed for commercial purposes.<br> In case they are meant to be used for research, reference has to be made to: - Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2013).<br> Developing and validating a forecast/hindcast system for the Mediterranean Sea.<br> Journal of Coastal Research, 65(sp2), 1551-1556. - Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2015).<br> Performance evaluation of Wavewatch III in the Mediterranean Sea.<br> Ocean Modelling, 90, 82-94. For further inquires about the hindcast data, please contact meteocean@dicca.unige.it. Finally, results of the sensitivity analysis of CE and W2 with respect to varying number of clusters are stored into the<br> zip files "CE.zip" and "W2.zip", respectively (Figs. from 2 to 8 of the submitted manuscript).<br> Each *dat file refers to a particular set of the data inital conditions (see manuscript), and it is labeled as follows:<br> "*_[FIRST YEAR OF TRAINING]_[LAST YEAR OF TRAINING]_[FIRST YEAR OF VALIDATION]_[LAST YEAR OF VALIDATION]_<br> [TOTAL NUMBER OF TIME STEPS]_[TIME SHIFT BETWEEN SUCCESSIVE SCENARIOS]_*_[INITIAL TIME RESOLUTION]_*_<br> [VARIABLES EMPLOYED].dat" For further information, please contact Giulia Cremonini at:<br> giulia.cremonini@edu.unige.it
DOI: 10.5281/zenodo.4871227
title: Early Hitchcock

description: This data set contains the shot length data for films in the <em>Early Hitchcock</em> DVD collection, including four silent films (<em>The Ring</em> (1927), <em>The Farmer’s Wife </em>(1928), <em>Champagne </em>(1928), and <em>The Manxman </em>(1929)) and five sound films (<em>Blackmail</em> (1929), <em>Murder</em> (1930), <em>The Skin Game</em> (1931)<em>, Rich and Strange</em> (1931), <em>Number Seventeen </em>(1932)) directed by Alfred Hitchcock between 1927 and 1932. Shot length data was collected shot length data from the PAL DVD release of these films and corrected the duration of each shot to 24 frames per second by multiplying by a factor of 1.041667. Opening and closing credits from each film have been removed, but all other titles are included.
DOI: 10.5281/zenodo.4871226
title: Early Hitchcock

description: This data set contains the shot length data for films in the <em>Early Hitchcock</em> DVD collection, including four silent films (<em>The Ring</em> (1927), <em>The Farmer’s Wife </em>(1928), <em>Champagne </em>(1928), and <em>The Manxman </em>(1929)) and five sound films (<em>Blackmail</em> (1929), <em>Murder</em> (1930), <em>The Skin Game</em> (1931)<em>, Rich and Strange</em> (1931), <em>Number Seventeen </em>(1932)) directed by Alfred Hitchcock between 1927 and 1932. Shot length data was collected shot length data from the PAL DVD release of these films and corrected the duration of each shot to 24 frames per second by multiplying by a factor of 1.041667. Opening and closing credits from each film have been removed, but all other titles are included.
DOI: 10.6084/m9.figshare.13058840.v2
title: Data and code for "Modified Parker's method for gravity forward modeling of general polyhedral models"

description: Paker Polyhedron
DOI: 10.25919/redr-xs56
title: Parkes observations for project PX500 semester 2021APRS_06

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.4387098
title: Heart Disease XML Strain

description: Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee of the Hospital Authority. They are deposited for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit Access is RESTRICTED and is only available upon reasonable request related to research. The use of these datasets should provide acknowledgements of such efforts by citing this DOI.
description: Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee and/or the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster of the Hospital Authority. They are published for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit The use of these datasets should provide acknowledgements of such efforts by citing this DOI.
DOI: 10.6084/m9.figshare.14737518
title: Drought effects on invertebrate metapopulation dynamics and quasi‐extinction risk in an intermittent river network

description: Biological (BIOall), functional trait (Trait) and Environmental data (ENVall, SiteInfo) associated with the publication: doi:10.1111/gcb.15720
DOI: 10.5281/zenodo.4892853
title: Dataset collected by JSIsolate

description: This dataset contains: 1) the object access logs, 2) script isolation policies and 3) script write conflicts collected by JSIsolate on Alexa top 1K websites. We analyze the access logs to generate the conflict summary files and script isolation policies that assign static scripts to an execution context. We split the whole dataset of object access logs into 10 subsets, i.e., <em>access-0.zip</em> ~ <em>access-9.zip</em>. The isolation policies are released in <em>url-level-policies.zip</em> and <em>domain-level-policies.zip</em>. The object accesses (i.e., reads and writes) are saved in [rank].[main/sub].[frame_cnt].access (e.g., 1.main.0.access) files. The URLs of frames (i.e., main frames and iframes) are saved in [rank].[main/sub].[frame_cnt].frame (e.g., 1.main.0.frame) files. The maps from script IDs to script URLs are saved in [rank].[main/sub].[frame_cnt].id2url (e.g., 1.main.0.id2url) files. The maps from script IDs to their parent script (script that includes it, &lt;null&gt; for static scripts) IDs are saved in [rank].[main/sub].[frame_cnt].id2parentid (e.g., 1.main.0.id2parentid) files. The source code of scripts are saved in [rank].[main/sub].[frame_cnt].[script_ID].script (e.g., 1.main.0.17.script) files. Note that we perform monkey testing during the data collection, which may cause the page to navigate to a different URL. Therefore, there could be multiple main frame files. The conflicts are dumped to [rank].conflicts (e.g., 1.conflicts) files. The isolation policies are dumped to [rank].configs (e.g., 1.configs) and [rank].configs-simple (e.g., 1.configs-simple) files. Note that the *.configs files also include the read/write operations that cause JSIsolate to assign a script from third-party domain to the first-party context.
DOI: 10.15161/oar.it/73830
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.14737512
title: FIgure 4A suppliment.raw

description: To examine the mechanism of PD-L1 promoting the adherence of monocyte to MCECs, plasma membrane proteins of monocytes were incubated with purified FLAG-tagged PD-L1 protein. The proteins which interacted with PD-L1 were purified by anti-FLAG agarose. A unique band above 180 kDa (in box) was excised and subjected to trypsin digestion followed by LC-MS/MS analyses as described in materials and methods. The raw data of MS analysis was given.<br>
DOI: 10.6084/m9.figshare.14737512.v1
title: FIgure 4A suppliment.raw

description: To examine the mechanism of PD-L1 promoting the adherence of monocyte to MCECs, plasma membrane proteins of monocytes were incubated with purified FLAG-tagged PD-L1 protein. The proteins which interacted with PD-L1 were purified by anti-FLAG agarose. A unique band above 180 kDa (in box) was excised and subjected to trypsin digestion followed by LC-MS/MS analyses as described in materials and methods. The raw data of MS analysis was given.<br>
DOI: 10.6084/m9.figshare.14737563
title: AChE and BChE data of Milazzo gulf and Marinello nature reserve

description: AChE and BChE enzyme activity of Milazzo gulf and Marinello nature reserve
DOI: 10.6084/m9.figshare.14737563.v1
title: AChE and BChE data of Milazzo gulf and Marinello nature reserve

description: AChE and BChE enzyme activity of Milazzo gulf and Marinello nature reserve
DOI: 10.6084/m9.figshare.13238045.v2
title: Parkinson’s disease patients’ short chain fatty acids production capacity after in vitro fecal fiber fermentation.

description: Datasets SCFA production in fecal samples of Parkinson's patients after<i> in vitro</i> fermentation with different fiber supplements 'databank commerciële substraten' and vegetable/quinoa fiber substrates 'databank reststromen'.Dataset relative abundances of Clostridium coccoides and Clostridium leptum after fermentation with selected fiber supplements 'databank qpcr'.
DOI: 10.6084/m9.figshare.13238045.v3
title: Parkinson’s disease patients’ short chain fatty acids production capacity after in vitro fecal fiber fermentation.

description: Datasets SCFA production in fecal samples of Parkinson's patients after<i> in vitro</i> fermentation with different fiber supplements 'databank commerciële substraten' and vegetable/quinoa fiber substrates 'databank reststromen'.Dataset relative abundances of Clostridium coccoides and Clostridium leptum after fermentation with selected fiber supplements 'databank qpcr'.
DOI: 10.25646/8590
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4783287
title: Hide and seek in Slovakia: utilizing tracking code data to uncover untrustworthy website networks

description: Data that support the findings of the "Hide and seek in Slovakia: utilizing tracking code data to uncover untrustworthy website networks " study.
DOI: 10.5281/zenodo.4783286
title: Hide and seek in Slovakia: utilizing tracking code data to uncover untrustworthy website networks

description: Data that support the findings of the "Hide and seek in Slovakia: utilizing tracking code data to uncover untrustworthy website networks " study.
DOI: 10.5281/zenodo.4897479
title: Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

description: Datasets and Pretrained models presented in "Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT"
DOI: 10.5281/zenodo.4897478
title: Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

description: Datasets and Pretrained models presented in "Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT"
DOI: 10.5281/zenodo.4903094
title: Efficient State Machine Replication With RDMA RPCs in Java - Experiment/Benchmark Data

description: The uploaded file contains experimental and benchmark data collected during the evaluation process of an MSc thesis with title "Efficient State Machine Replication With RDMA RPCs in Java". The file also includes Python scripts used to process evaluation data and create plots. The thesis explored how to use RDMA efficiently to build RPCs for State Machine Replication (SMR) systems written in Java. This research used Hazelcast IMDG, an open source Java project that contains a production-ready Raft protocol implementation for SMR. Hazelcast IMDG's Raft RPCs were changed to use RDMA networking (see link), instead of the original TCP networking. Moreover, the open source Java library jRCM was created to minimize the code needed for RDMA RPCs for SMR systems in Java, and was used to implement RDMA RPCs in Hazelcast. <br> <br> The thesis was conducted during a Master's Degree in Computer Science, which is a joint degree between Vrije Universiteit Amsterdam and University Of Amsterdam.
DOI: 10.34740/kaggle/dsv/2305401
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/2305409
title: Twitter: Trending Tweets per week (updated weekly)
DOI: 10.34740/kaggle/dsv/2305421
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5519/qd.64tfby4u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.14737833
title: Open Source Manuals

description: Open Source Manuals<br>
DOI: 10.6084/m9.figshare.14737833.v2
title: Open Source Manuals

description: Open Source Manuals<br>
DOI: 10.6084/m9.figshare.14737833.v1
title: Reception

description: Receiving protocol<br>
DOI: 10.5281/zenodo.4903342
title: Dataset: Are individuals consistent? Endocrine reaction norms under different ecological challenges

description: Dataset
DOI: 10.5281/zenodo.4903341
title: Dataset: Are individuals consistent? Endocrine reaction norms under different ecological challenges

description: Dataset
DOI: 10.34740/kaggle/dsv/2305617
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.14737857
title: Carbon assimilation and WUE

description: Data collected from each phytometer using a PP-Systems CIRAS-3 IRGA. One whole, entire leaf growing in full sunlight was used to measure a photosynthesis-irradiance curve (1500 to 0 PAR) and measure carbon assimilation and photosynthetic water use efficiency.<br>
DOI: 10.25390/caryinstitute.11801052.v27
title: Cary Institute Environmental Monitoring Program Current Year Data 2021

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.5281/zenodo.4771465
title: Data for the paper "Integrative analysis of the mineralogical and chemical composition of modern microbialites from ten Mexican lakes: what do we learn about their formation?" published in GCA

description: These are the data used for the paper published in Geochimica et Cosmochimica Acta by Zeyen et al and entitled "Integrative analysis of the mineralogical and chemical composition of modern microbialites from ten Mexican lakes: what do we learn about their formation?" The data content is summarized in the summary.docx file
description: Part of the work was supported by the ANR Microbialites (ANR-18-CE02-0013-02). Some of the analytical measurements were supported by the IPGP multidisciplinary program PARI and by Region île-de-France SESAME Grant no. 12015908. We thank Aurélien Saghaï, Marie Ragon, Paola Bertolino, Eleonor Cortés, Angela Delgado Buscalioni and Ana Isabel López-Archilla for their help during the field trip in May 2014. We thank Ludovic Delbes and Benoit Baptiste who managed the XRD platform at IMPMC where analyses were performed. We thank Keevin Beneut and Maxime Guillaumet who managed the FTIR platform at IMPMC where analyses were performed. We thank Imene Esteve, Béatrice Doisneau and Stéphanie Delbrel who managed the SEM platform at IMPMC where analyses were performed. The SEM facility at IMPMC was purchased owing to a support by Region Ile de France grant SESAME 2006 I-07-593/R. We thank Laure Cordier (ICP-AES and ion chromatography analyses) and Emmanuelle Raimbault (continuous flow colorimetric analyses and alkalinity measurements) for technical support at IPGP
DOI: 10.5281/zenodo.4771464
title: Data for the paper "Integrative analysis of the mineralogical and chemical composition of modern microbialites from ten Mexican lakes: what do we learn about their formation?" published in GCA

description: These are the data used for the paper published in Geochimica et Cosmochimica Acta by Zeyen et al and entitled "Integrative analysis of the mineralogical and chemical composition of modern microbialites from ten Mexican lakes: what do we learn about their formation?" The data content is summarized in the summary.docx file
description: Part of the work was supported by the ANR Microbialites (ANR-18-CE02-0013-02). Some of the analytical measurements were supported by the IPGP multidisciplinary program PARI and by Region île-de-France SESAME Grant no. 12015908. We thank Aurélien Saghaï, Marie Ragon, Paola Bertolino, Eleonor Cortés, Angela Delgado Buscalioni and Ana Isabel López-Archilla for their help during the field trip in May 2014. We thank Ludovic Delbes and Benoit Baptiste who managed the XRD platform at IMPMC where analyses were performed. We thank Keevin Beneut and Maxime Guillaumet who managed the FTIR platform at IMPMC where analyses were performed. We thank Imene Esteve, Béatrice Doisneau and Stéphanie Delbrel who managed the SEM platform at IMPMC where analyses were performed. The SEM facility at IMPMC was purchased owing to a support by Region Ile de France grant SESAME 2006 I-07-593/R. We thank Laure Cordier (ICP-AES and ion chromatography analyses) and Emmanuelle Raimbault (continuous flow colorimetric analyses and alkalinity measurements) for technical support at IPGP
DOI: 10.6084/m9.figshare.14737866.v1
title: Niche resource measurements

description: Raw data used in the PCA to determine niche overlap of Phragmites australis and three resident wetland species<br>
DOI: 10.6084/m9.figshare.14737866
title: Niche resource measurements

description: Raw data used in the PCA to determine niche overlap of Phragmites australis and three resident wetland species<br>
DOI: 10.6084/m9.figshare.14737878
title: Phytometer biomass

description: The above-ground biomass produced by each phytometer growing with or without above-ground competition.<br>
DOI: 10.6084/m9.figshare.14737878.v1
title: Phytometer biomass

description: The above-ground biomass produced by each phytometer growing with or without above-ground competition.<br>