cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5866525
title: Chesapeake Land Cover dataset - Learning on the prior extension

description: This dataset extends the "Chesapeake Land Cover" dataset at https://lila.science/datasets/chesapeakelandcover with an additional <em>layer </em>of data containing a prior of observing a 1m Chesapeake Conservancy land cover class label given an NLCD label. Specifically, for each <em>tile </em>in the original "Chesapeake Land Cover" dataset, this dataset contains another tile (named with a "_prior_from_cooccurrences_101_31_no_osm_no_buildings.tif" suffix) containing the prior probabilities of observing a four class version of the land cover classes at a 1m resolution. The prior probability is given by the normalized co-occurrence matrix between NLCD classes and the Chesapeake 1m land cover labels in each state with additional spatial smoothing (using a gaussian filter with a standard deviation of 31 pixels and a cutoff of 101 pixels) to reduce the block artifacts caused by the relatively low-resolution of the NLCD labels (30m) compared to the LC labels (1m). <strong>Note:</strong> the prior is a 4-class mapping of the 6-class labels. In the 4-class version of the dataset the "barren land", "impervious (other)", and "impervious (road)" classes are combined. This dataset also includes the per-state co-occurrence matrices. Each of these is a matrix, \(C\), with size 7 x 17, where an entry \(C_{ij}\) gives the normalized count of land cover class \(i\) for given NLCD label \(j\). The class indices \(i\) and \(j\) correspond to the indices used in the Chesapeake Conservancy land cover label and NLCD layers. The dataset is packaged in a way such that it can simply be unzipped over an existing copy of the "Chesapeake Land Cover" (i.e. follows the same directory structure). E.g., given a directory that contains the original dataset "cvpr_chesapeake_landcover/", and the file "cvpr_chesapeake_landcover_prior_extension.zip", run `unzip cvpr_chesapeake_landcover_prior_extension.zip` to create the merged dataset. Version 1.1 fixes an issue with the geotiff metadata that caused GDAL to interpret the 4th band as a nodata mask in some settings.
DOI: 10.5281/zenodo.5652511
title: Chesapeake Land Cover dataset - Learning on the prior extension

description: This dataset extends the "Chesapeake Land Cover" dataset at https://lila.science/datasets/chesapeakelandcover with an additional <em>layer </em>of data containing a prior of observing a 1m Chesapeake Conservancy land cover class label given an NLCD label. Specifically, for each <em>tile </em>in the original "Chesapeake Land Cover" dataset, this dataset contains another tile (named with a "_prior_from_cooccurrences_101_31_no_osm_no_buildings.tif" suffix) containing the prior probabilities of observing a four class version of the land cover classes at a 1m resolution. The prior probability is given by the normalized co-occurrence matrix between NLCD classes and the Chesapeake 1m land cover labels in each state with additional spatial smoothing (using a gaussian filter with a standard deviation of 31 pixels and a cutoff of 101 pixels) to reduce the block artifacts caused by the relatively low-resolution of the NLCD labels (30m) compared to the LC labels (1m). <strong>Note:</strong> the prior is a 4-class mapping of the 6-class labels. In the 4-class version of the dataset the "barren land", "impervious (other)", and "impervious (road)" classes are combined. This dataset also includes the per-state co-occurrence matrices. Each of these is a matrix, \(C\), with size 7 x 17, where an entry \(C_{ij}\) gives the normalized count of land cover class \(i\) for given NLCD label \(j\). The class indices \(i\) and \(j\) correspond to the indices used in the Chesapeake Conservancy land cover label and NLCD layers. The dataset is packaged in a way such that it can simply be unzipped over an existing copy of the "Chesapeake Land Cover" (i.e. follows the same directory structure). E.g., given a directory that contains the original dataset "cvpr_chesapeake_landcover/", and the file "cvpr_chesapeake_landcover_prior_extension.zip", run `unzip cvpr_chesapeake_landcover_prior_extension.zip` to create the merged dataset. Version 1.1 fixes an issue with the geotiff metadata that caused GDAL to interpret the 4th band as a nodata mask in some settings.
DOI: 10.25919/98xc-1989
title: Parkes observations for project P456 semester 2021OCTS_03

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. We are now in an exciting regime where a signal detected in our (and other data sets) has the form expected for a gravitational wave background. We are therefore now attempting to confirm, or deny, this exciting result. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.25919/dwzw-8795
title: Parkes observations for project P1141 semester 2021OCTS_02

description: Radio giant pulses (GPs) have been observed since the discovery of the Crab pulsar more than 50 years ago. Nevertheless the origins of this apparently irregular form of radio emission are still not understood. While their characteristics indicate the existence of a coherent emission mechanism, the search for an incoherent emission component via multi-wavelength correlation studies provides one way to identify potential emission regions in the magnetosphere of the pulsar. With the present proposal, we address the radio GP emission from PSR J0540-6919 (the Crab twin) and seek to search for a correlation with its X-ray emission. A recent study of this kind for the Crab pulsar proved to be successful (Enoto et al.\,2021). Our proposed study is to the best of our knowledge the first of its kind together with the Neutron Star Interior Composition ExploreR (NICER) for this particular source and will shed light on the question of whether correlations with X-ray emission are a characteristic of ordinary pulsars with radio GP emission. Such knowledge will be useful in unraveling whether there are different populations of radio GPs in the case of ordinary and millisecond pulsars.
DOI: 10.5281/zenodo.5855331
title: Data accompanying "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications"

description: This dataset contains measurement data for the results presented in "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications".
description: The work is also supported by Danish center of excellence CoE SPOC under Grant DNRF123, the Villum young investigator program grant of 2MAC and the Independent Research Fund Denmark under the grant of 9041-00395B, Swedish Research Council (VR) projects 2019-05197 and 2016-04510, National Natural Science Foundation of China (61775162, 61331010, 61722108, 61775137, 61671212, 61771424, 62101483), the National Key Research and Development Program of China (2020YFB1805700), MARTINLARA, funded by Comunidad de Madrid, S2018/NMT-4333, and European Space Agency Contract No. 4000135351/21/NL/GLC/my .
DOI: 10.5281/zenodo.5855330
title: Data accompanying "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications"

description: This dataset contains measurement data for the results presented in "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications".
description: The work is also supported by Danish center of excellence CoE SPOC under Grant DNRF123, the Villum young investigator program grant of 2MAC and the Independent Research Fund Denmark under the grant of 9041-00395B, Swedish Research Council (VR) projects 2019-05197 and 2016-04510, National Natural Science Foundation of China (61775162, 61331010, 61722108, 61775137, 61671212, 61771424, 62101483), the National Key Research and Development Program of China (2020YFB1805700), MARTINLARA, funded by Comunidad de Madrid, S2018/NMT-4333, and European Space Agency Contract No. 4000135351/21/NL/GLC/my .
DOI: 10.6084/m9.figshare.17074685
title: Metadata record for: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

description: This dataset contains key characteristics about the data described in the Data Descriptor Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.17074685.v1
title: Metadata record for: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

description: This dataset contains key characteristics about the data described in the Data Descriptor Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.18553775
title: ExternalAmbassadorResearchData.xlsx

description: This is a dataset collected for measuring the attitude from Millennials towards online external ambassadors.
DOI: 10.5281/zenodo.5792004
title: Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection

description: <strong>scRNA-seq data</strong> Data were processed using cellranger v 4.0.0 with the refdata-gex-GRCh38-2020-A reference. <em>h5files.zip</em>: contains all h5-Files of raw feature-barcode counts (e.g. 20094_0001_A_B_raw_feature_bc_matrix.new.h5 ) <em>raw_feature_bc_matrices.zip</em>: contains the <em>same data</em> as h5files.zip, but also in mtx-format. covid_object_ncomms<em>.RDS</em>: contains the Seurat file with which all analyses were conducted. <em>samples2condition.df</em>: text file containing sample to condition information <strong>Bulk RNA-seq</strong> <em>covid_bulk.zip</em> contains the count matrices extracted from the zUMIs runs for the bulk cohort. <em>nasal_swabs.zip</em> contains the count matrices extracted from the zUMIs run for the nasal swab cohort. The extracted count matrices were then used with the bulk analysis scripts provided with the source code. <strong>Source Code</strong> All <strong>source code</strong> for the publication is available from: https://github.com/mjoppich/covidSC or from tagged releases: https://github.com/mjoppich/covidSC/releases/tag/ncomms When using any of these data, please cite:<br> <br> Pekayvaz et al., Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection, Nature Communications 2022
DOI: 10.5281/zenodo.5792003
title: Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection

description: <strong>scRNA-seq data</strong> Data were processed using cellranger v 4.0.0 with the refdata-gex-GRCh38-2020-A reference. <em>h5files.zip</em>: contains all h5-Files of raw feature-barcode counts (e.g. 20094_0001_A_B_raw_feature_bc_matrix.new.h5 ) <em>raw_feature_bc_matrices.zip</em>: contains the <em>same data</em> as h5files.zip, but also in mtx-format. covid_object_ncomms<em>.RDS</em>: contains the Seurat file with which all analyses were conducted. <em>samples2condition.df</em>: text file containing sample to condition information <strong>Bulk RNA-seq</strong> <em>covid_bulk.zip</em> contains the count matrices extracted from the zUMIs runs for the bulk cohort. <em>nasal_swabs.zip</em> contains the count matrices extracted from the zUMIs run for the nasal swab cohort. The extracted count matrices were then used with the bulk analysis scripts provided with the source code. <strong>Source Code</strong> All <strong>source code</strong> for the publication is available from: https://github.com/mjoppich/covidSC or from tagged releases: https://github.com/mjoppich/covidSC/releases/tag/ncomms When using any of these data, please cite:<br> <br> Pekayvaz et al., Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection, Nature Communications 2022
DOI: 10.5281/zenodo.5853927
title: Dataset: Interleukin (IL)-1 blocking agents for the treatment of COVID-19 A living systematic review

description: This dataset is used in the analyses reported in the review entitled "Interleukin (IL)-1 blocking agents for the treatment of COVID-19 A living systematic review" IL-1 blockers are beneficial in inflammation-associated pathologies, such as rheumatoid arthritis (Mertens 2009) and possibly also in the subgroup of patients with severe sepsis where the inflammasome pathway is involved (Shakoory 2016). Similar benefits were reported in children with secondary macrophage activation syndrome, including cases triggered by viral infections (Mehta 2020b). In this review we aimed to assess the effectiveness of IL-1 blocking agents compared to placebo, standard of care or no treatment on outcomes in patients with COVID-19. This review is part of a larger project: the COVID-NMA project. We set-up a platform (https://covid-nma.com) where all our results are made available and updated bi-weekly.
DOI: 10.5281/zenodo.5853926
title: Dataset: Interleukin (IL)-1 blocking agents for the treatment of COVID-19 A living systematic review

description: This dataset is used in the analyses reported in the review entitled "Interleukin (IL)-1 blocking agents for the treatment of COVID-19 A living systematic review" IL-1 blockers are beneficial in inflammation-associated pathologies, such as rheumatoid arthritis (Mertens 2009) and possibly also in the subgroup of patients with severe sepsis where the inflammasome pathway is involved (Shakoory 2016). Similar benefits were reported in children with secondary macrophage activation syndrome, including cases triggered by viral infections (Mehta 2020b). In this review we aimed to assess the effectiveness of IL-1 blocking agents compared to placebo, standard of care or no treatment on outcomes in patients with COVID-19. This review is part of a larger project: the COVID-NMA project. We set-up a platform (https://covid-nma.com) where all our results are made available and updated bi-weekly.
DOI: 10.5281/zenodo.5853572
title: Text Mining Dataset

description: Text Mining Dataset
DOI: 10.5281/zenodo.5853571
title: Text Mining Dataset

description: Text Mining Dataset
DOI: 10.17632/bczg8z7yg2.1
title: Epidemiology and genetic diversity of SARS-CoV-2 lineages circulating in Africa. Okoh, Nii-Trebi, et al.

description: Supplementary Files for Epidemiology and genetic diversity of SARS-CoV-2 lineages circulating in Africa by Okoh, Nii-Trebi, et al.
DOI: 10.17632/cr5pt8tcnr.1
title: Feasibility study of  a natural disaster information management open-access repository (NDIM-OAR) applying the PSI techniques

description: The present research is among the first multi-disaster, multi-stakeholder feasibility studies in LIS applying an exclusive newly-developed framework. Applying the PSI technique, authors examined the opinions of five natural disaster information management (NDIM) stakeholders to evaluate the feasibility of an NDIM-open-access repository in Iran. The context-based TELOS-extended (TELOS-CB) framework developed by Rashidi (2020) has been used as the feasibility framework. The dataset was formed by collecting data from 20 experts consisted of 4 individuals from each stakeholder groups (governmental organizations, public institutions, research centers, non-governmental organizations, and library and information science specialist). They population all had at least 15 years of professional experience in and they were chosen from experts that had specialized experience in the fields of  NDIM/IT. 
A self-designed questionnaire was used to collect the data. in an Excel-format questionnaire which was sent to each of the participants by email (May 2020). The questionnaire items were designed based on the TELOS-CB framework. This questionnaire included a table with 44 rows (sub-factors affecting the creation of an NDIM-OAR) intersected with 7 feasibility dimensions (TELOS-CB) appeared in columns. The participants were asked to express their opinions about the feasibility dimensions for each sub-factor in the form of verbal variables (5-score Likert scale; 5=the most feasible, 1= the least feasible).
The findings revealed that the NDIM-OAR is “technical”ly more feasible, while the “cultural” dimension has been considered the most challenging. NGOs have the largest scoring range and governmental stakeholders have the most coherent scoring. Based on the results, despite all he observed heterogeneity of data, type and level of NDIM stakeholders, creating a thematic OAR as a set of network-like and interconnected information systems and services, can be considered as a potential solution to improve information management among the stakeholders. More in-depth, cross-disciplinary studies are required to reach a more comprehensive and solid decision for an NDIM-OAR in Iran.
The dataset contains 3 excel files: the participants' demographic data, the questionnaire (TELOS-CB feasibility framework, and the data gathered which organized according to the steps of PSI technique, for each and all of the stakeholders studied. The framework could be used as an instrument for similar surveys in similar context, developed and adapted to different context, and creating a base for comparisons and building knowledge in a wider context. Moreover, the data provide further understand on the Multiple Criteria Decision Making research methods, the PSI in particular, in the field of library and information science (LIS). The data could also provide a basis for both qualitative and quantitative hypothesis-based and critical-analytical researches in the fields of NDIM/IT.
DOI: 10.17632/53cskwwpdn.6
title: Project: Fostering Transparent and Responsible Conduct of Research: What can Journals do?

description: Description: 
Since their origin in the 17th century, publications in scientific journals have become the foundation of scholarly communication. Yet the publication process itself, duties and responsibilities of editors, and the preparation of manuscripts for submission have gone through many changes. The current drive towards study registration, sharing of protocols, manuscript pre-print, full transparency of reporting and the use of reporting guidelines, data sharing, and study replication, are seen as the future of scientific communication and methods of preventing scientific misconduct and undesirable research practices.

The goals of this project are:

1) Study the current state of publication ethics, research integrity- and transparency-related policies of scholarly Journals (by analysing instructions to authors from a representative sample of journals in the humanities, social, natural, and life sciences);

2) Study the trends and changes in publication ethics, research integrity- and transparency-related policies of scholarly Journals (by conducting a systematic review of all studies indexed in MEDLINE, Web of Science and Scopus that have analysed instructions to authors of journals);

3) Study editors’, authors’ and reviewer’ perceptions and attitudes towards topics related to transparent and responsible conduct of research (by conducting large scale surveys, focus group, web-chats and acceleration room sessions);

4) Make (evidence-based) recommendations of how publishers and journals may implement publication principles and foster the integrity and transparency of research (by summarizing the evidence of the first 3 steps of the project).

Team Members:

Mario Malički
ORCID iD: 0000-0003-0698-1930

IJsbrand Jan Aalbersberg
ORCID iD: 0000-0002-0209-4480

Lex Bouter
ORCID iD: 0000-0002-2659-5482

Gerben ter Riet
ORCID iD: 0000-0002-2231-7637

Project collaborators:
Ana Jerončić
ORCID iD:  0000-0003-1621-1956

Adrian Mulligan
Elsevier, Amsterdam, The Netherlands  

Funding
This project was funded by Elsevier.
DOI: 10.17632/9fp6ps7dsr.1
title: Data for: A Novel Room-Temperature Synthesis Technique for Producing High-Density Ba1-xSrxTiO3 and PbZryTi1-yO3 Composites

description: Data for reproducing figures and findings for "A Novel Room-Temperature Synthesis Technique for Producing High-Density Ba1-xSrxTiO3 and PbZryTi1-yO3 Composites"
DOI: 10.17632/txcp862rp2.1
title: Dataset for The influence of iodine on the Antarctic stratospheric ozone hole - Cuevas et al., 2022 - PNAS

description: Data employed in the The influence of iodine on the Antarctic stratospheric ozone hole - Cuevas et al., 2022 - PNAS
DOI: 10.17632/jmrr3tcmnz.1
title: The Use of Dye-less Cystoscopy in Assessing Urinary Tract Integrity During Hysterectomy

description: Cystoscopy data with no patient identifier, legend included
DOI: 10.17632/xchmgxj7cm.1
title: SUFU suppresses ferroptosis sensitivity in breast cancer cells via Hippo/YAP pathway-KunFang

description: The initial data of SUFU suppresses ferroptosis sensitivity in breast cancer cells via Hippo/YAP pathway
DOI: 10.17632/rvcds7tdjg.1
title: Data for 2H-SIAM and Co-Occurrence network

description: The dataset is prepared for our MS named with "Application of 2H-labeled Stable Isotope-Assisted Metabolomics in Screening Potential Transformation Products of Environmental Contaminants" and "Neural Network Depicts Co-Occurrences Relationship between Transformation Products of Contaminants and Soil Microbiome Communities".
DOI: 10.17632/nvhb6yyg9p.1
title: Origin and age of magmatism in the northern Philippine Sea basins

description: This dataset contains major and trace element data of igneous rocks as well as radiogenic isotopic compositions, Ar/Ar dating results and simple description of the samples  from the Northern Philippine Sea for the manuscript submitted for publication in G-cubed journal.
Table 1 Results of 40Ar/39Ar stepwise-heating analyses.
Table S1. Brief description of studied samples.  
Table S2. 40Ar/39Ar age measurement data.
Table S3. Zircon U-Pb age measurement data.
Table S4. Whole rock chemical and isotopic compositions of volcanic rocks of the Northern Philippine Sea volcanics. Locality of the samples are also listed. Compiled data for BHVO2 data is from GEOREM database (http://georem.mpch-mainz.gwdg.de).
Table S5. Whole rock chemical and isotopic compositions of igneous rocks from the KPR- Daito Ridge intersection area.
Table S6. Whole rock chemical and isotopic compositions of basalts from the Amami Seamounts.
Table S7. Whole rock chemical and isotopic compositions of Mesozoic volcanic rocks from the Daito Ridge Group.
DOI: 10.17632/2zr9vh8x9n.1
title: Dataset of Distal Femoral Fracture in TRON group

description: This retrospective multicenter study aimed to assess the 1-year mortality rate in elderly patients with distal femoral fractures (DFFs) and identify potential risk factors for mortality. Methods: We analyzed 321 patients aged 65 years and older with DFFs treated surgically between 2012 and 2019 in 13 hospitals. Patient demographics and surgical characteristics were extracted from medical records and radiographs. We used univariable and multivariable Cox regression analyses to identify the factors affecting mortality. The 1-year mortality rate in elderly patients with DFFs was relatively low at 9.0%. Older age, lower BMI, and nursing home residency were associated with mortality after surgery for DFFs. Factors associated with the surgical procedure were not significant predictors. © 2022