cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20098124.v6
title: Human development and Tourism: Evidence from Ten Countries (Dataset)

description: Data of ten countries: seven countries are classified as ‘developing’ – Bolivia, Cambodia, Ecuador, Kazakhstan, Morocco, Nepal and Tanzania, while three countries – Hungary, Slovenia and USA are designated as ‘developed.’ These countries have the complete HDI and tourist arrivals’ data for the period 1996 – 2019. The study analyses the impact of tourism to human development in ten countries, that also include other variables: jobs, government effectiveness and political stability, using three different panel estimation techniques: random, fixed effect and Least-squares Dummy variables (LSDV).
DOI: 10.6084/m9.figshare.20103350
title: Supplementary tables for Chapter 4

description: Supplementary tables for Chapter 4
DOI: 10.6084/m9.figshare.20103350.v1
title: Supplementary tables for Chapter 4

description: Supplementary tables for Chapter 4
DOI: 10.6084/m9.figshare.20103356
title: Supplementary figures for Chapter 4

description: Supplementary figures for Chapter 5
DOI: 10.6084/m9.figshare.20103356.v1
title: Supplementary figures for Chapter 4

description: Supplementary figures for Chapter 5
DOI: 10.6084/m9.figshare.20103359
title: Untitled Item

description: Supplementary tables for Chapter 5
DOI: 10.6084/m9.figshare.20103359.v1
title: Untitled Item

description: Supplementary tables for Chapter 5
DOI: 10.6084/m9.figshare.20103206
title: S1 data set.xlsx

description: The data were collected to assess the perception and knowledge of young adult women about breast cancer and breast self-examination. A community-based cross-sectional study was conducted in the Guraghe zone, southwest Ethiopia, to investigate views and understanding of breast cancer and BSE on randomly selected 392 young adult women. The study participants were selected using a three-stage stratified sampling technique from urban and rural strata. The data is organized into four sections: 1 sociodemographic data 2 knowledge about breast cancer risk factors, early warning signs, and breast self-examination. The data collection tool was pretested and tested for reliability.
DOI: 10.6084/m9.figshare.20103365
title: Data from Online Precognitive Remote Viewing Experiment 2022 Bial funded

description: These are the anonymized raw data from the online precognitive remote viewing experiment funded by the Bial Foundation. Project 369/20. The original grant application acts as a pre-registration of the experiment.
DOI: 10.6084/m9.figshare.20103365.v1
title: Data from Online Precognitive Remote Viewing Experiment 2022 Bial funded

description: These are the anonymized raw data from the online precognitive remote viewing experiment funded by the Bial Foundation. Project 369/20. The original grant application acts as a pre-registration of the experiment.
DOI: 10.6073/pasta/433d1664a6ce723fd8df96892a5bc81b
title: Satellite derived secchi disk depth and other lake and landscape characteristics in Wisconsin, USA, 1991 - 2012

description: This data supports the following publication: Rose, K.C., S.R. Greb, M. Diebel, and M.G. Turner. Annual precipitation as a regulator of spatial and temporal drivers of lake water clarity. Ecological Applications. The data uses satellite remotely sensed estimates of Secchi disk depth (Landsat imagery), landscape features, and lake characteristics to understand how and why lakes vary and respond to different drivers through time and space. The data were produced by the authors and their collaborators, as acknowledged in the manuscript. The Secchi disk depth data span the time period 1991-2012.
DOI: 10.6084/m9.figshare.14204835.v1
title: ‘Into the wolves’ den: an investigation of predictors of sexism in online games’

description: Online sexism against female gamers is reportedly common and pervasive, causing serious problems. To help solve these problems, the study identified various predictors of online game sexism, which is hypothesised to predict actual in-game harassment. Different from previous studies, the study approaches the problems from the perspective of perpetrators rather than victims. We proposed a theoretical model that include three groups of predictors: offline sexist beliefs (masculine norms and hostile sexism), game-related factors (perceived territoriality, advancement, and competition), and environmental factors (peer harassment and play time). The model was tested against online survey data collected from a sample of 528 male gamers in South Korea with age range of 14–64 years (<i>M</i> = 34.70, <i>SD</i> = 12.81). The results showed that all the predictors, except competition and play time, were significantly associated with online game sexism, which mediated the relationships between the predictors and online sexual harassment. Perceived territoriality and peer harassment were found to have direct and positive effects on harassment. The findings are expected to contribute to developing more effective measures for preventing the hostility and aggression against female gamers by providing a new and more thorough diagnosis of the underlying causes of the problems.
DOI: 10.6084/m9.figshare.14204835
title: ‘Into the wolves’ den: an investigation of predictors of sexism in online games’

description: Online sexism against female gamers is reportedly common and pervasive, causing serious problems. To help solve these problems, the study identified various predictors of online game sexism, which is hypothesised to predict actual in-game harassment. Different from previous studies, the study approaches the problems from the perspective of perpetrators rather than victims. We proposed a theoretical model that include three groups of predictors: offline sexist beliefs (masculine norms and hostile sexism), game-related factors (perceived territoriality, advancement, and competition), and environmental factors (peer harassment and play time). The model was tested against online survey data collected from a sample of 528 male gamers in South Korea with age range of 14–64 years (<i>M</i> = 34.70, <i>SD</i> = 12.81). The results showed that all the predictors, except competition and play time, were significantly associated with online game sexism, which mediated the relationships between the predictors and online sexual harassment. Perceived territoriality and peer harassment were found to have direct and positive effects on harassment. The findings are expected to contribute to developing more effective measures for preventing the hostility and aggression against female gamers by providing a new and more thorough diagnosis of the underlying causes of the problems.
DOI: 10.5281/zenodo.6672678
title: Self-assembling peptide nanofiber HIV vaccine elicits robust vaccine-induced antibody functions and modulates Fc glycosylation.

description: To develop vaccines for certain key global pathogens such as HIV, it is crucial to elicit both neutralizing and non-neutralizing Fc-mediated effector antibody functions. Clinical evidence indicates that non-neutralizing antibody functions including antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP) contribute to protection against several pathogens. In this study, we demonstrated that conjugation of HIV Envelop (Env) antigen gp120 to a self-assembling nanofiber material named Q11 induced antibodies with higher breadth and functionality when compared to soluble gp120. Immunization with Q11-conjugated gp120 vaccine (gp120-Q11) demonstrated higher tier 1 neutralization, ADCP and ADCC as compared to soluble gp120. Moreover, Q11 conjugation altered the Fc N-glycosylation profile of antigen-specific antibodies, leading to a phenotype associated with increased ADCC in animals immunized with gp120-Q11. Thus, this nanomaterial vaccine strategy can enhance non-neutralizing antibody functions possibly through modulation of IgG Fc N-glycosylation.
DOI: 10.5281/zenodo.6672677
title: Self-assembling peptide nanofiber HIV vaccine elicits robust vaccine-induced antibody functions and modulates Fc glycosylation.

description: To develop vaccines for certain key global pathogens such as HIV, it is crucial to elicit both neutralizing and non-neutralizing Fc-mediated effector antibody functions. Clinical evidence indicates that non-neutralizing antibody functions including antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP) contribute to protection against several pathogens. In this study, we demonstrated that conjugation of HIV Envelop (Env) antigen gp120 to a self-assembling nanofiber material named Q11 induced antibodies with higher breadth and functionality when compared to soluble gp120. Immunization with Q11-conjugated gp120 vaccine (gp120-Q11) demonstrated higher tier 1 neutralization, ADCP and ADCC as compared to soluble gp120. Moreover, Q11 conjugation altered the Fc N-glycosylation profile of antigen-specific antibodies, leading to a phenotype associated with increased ADCC in animals immunized with gp120-Q11. Thus, this nanomaterial vaccine strategy can enhance non-neutralizing antibody functions possibly through modulation of IgG Fc N-glycosylation.
DOI: 10.14279/depositonce-15870
title: Berlin Evapotranspiration and Cooling Services

description: Evapotranspiration (ET) is an essential variable for assessing water balance and the urban heat island (UHI) effect. ET is deeply dependent on the land cover as it derives mainly from soil evaporation and plant transpiration. The model soil-canopy observation of photosynthesis and energy fluxes (SCOPE) accounts for a broad range of surface-atmosphere interactions to predict ET. However, like most modelling approaches, SCOPE assumes a homogeneous vegetated landscape to estimate ET. As urban environments are highly fragmented, exhibiting a mix of vegetated and impervious surfaces, we propose a two-stage modelling approach to capture most of the spatiotemporal variability of ET without making the model overly complex. After predicting ET using the SCOPE model, the bias caused by the assumption of homogeneous vegetation is corrected using a vegetation fraction map. The ET prediction accuracy was assessed using eddy covariance towers, showing an R2 of 0.84 for the residential-vegetated site and 0.57 for the built-up site in Berlin during 2019. Urban green infrastructures (UGI) are fundamental to microclimate regulation and thermal comfort through evapotranspiration (ET) and shading services. High-spatiotemporal-resolution ET maps are required to plan and manage UGI to mitigate the UHI and droughts. We developed a method using open-access data, including hourly meteorological data and remote sensing vegetation parameters. A greening cooling service index (GCoS), divided into evapotranspirative (ECoS) and radiative (RCoS) cooling effects were mapped for the entire Berlin, Germany.
DOI: 10.5281/zenodo.6672704
title: Libraries & Recommended Citations for using PLAsTiCC Models

description: Text file libraries for transient and variable source models used in the "Photometric LSST Astronomical Time-Series Classification Challenge" (PLAsTiCC). The original challenge (Sep 28, 2018 - Dec 17, 2018) was hosted at https://www.kaggle.com/c/PLAsTiCC-2018. See AAA_README.pdf for more information.
description: Two years after PLASTICC, the SNANA analysis codes were modified to require DOCUMENTATION blocks in the supplemental sim-input files, and therefore the original LSST* files no longer work with SNANA codes. This zenodo update replaces the original LSST*.* files with files that have a DOCUMENTATION yaml block at the top. This update also includes 2 files missing from the original release (LSST_PIPELINE_LOGIC.DAT and LSST_SEARCHEFF_PIPELINE.DAT files).
DOI: 10.34740/kaggle/dsv/3837952
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.6672759
title: Evaluation of the impact of chemical control on the ecology of Rattus norvegicus of an urban community in Salvador, Brazil

description: dataset of rodent trapping in a pre/post-intervention scheme. Check publication of the same name for details on the study design. File contains complete comprehensive codebook.
DOI: 10.5281/zenodo.6672758
title: Evaluation of the impact of chemical control on the ecology of Rattus norvegicus of an urban community in Salvador, Brazil

description: dataset of rodent trapping in a pre/post-intervention scheme. Check publication of the same name for details on the study design. File contains complete comprehensive codebook.
DOI: 10.5281/zenodo.6672739
title: Libraries & Recommended Citations for using PLAsTiCC Models

description: Text file libraries for transient and variable source models used in the "Photometric LSST Astronomical Time-Series Classification Challenge" (PLAsTiCC). The original challenge (Sep 28, 2018 - Dec 17, 2018) was hosted at https://www.kaggle.com/c/PLAsTiCC-2018. See AAA_README.pdf for more information.
description: Two years after PLASTICC, the SNANA analysis codes were modified to require DOCUMENTATION blocks in the supplemental sim-input files, and therefore the original LSST* files no longer work with SNANA codes. This zenodo update replaces the original LSST*.* files with files that have a DOCUMENTATION yaml block at the top. This update also includes 2 files missing from the original release (LSST_PIPELINE_LOGIC.DAT and LSST_SEARCHEFF_PIPELINE.DAT files). [ignore previous v3 ... forgot to upload the new files]
DOI: 10.5281/zenodo.2612895
title: Libraries & Recommended Citations for using PLAsTiCC Models

description: Text file libraries for transient and variable source models used in the "Photometric LSST Astronomical Time-Series Classification Challenge" (PLAsTiCC). The original challenge (Sep 28, 2018 - Dec 17, 2018) was hosted at https://www.kaggle.com/c/PLAsTiCC-2018. See AAA_README.pdf for more information.
description: Two years after PLASTICC, the SNANA analysis codes were modified to require DOCUMENTATION blocks in the supplemental sim-input files, and therefore the original LSST* files no longer work with SNANA codes. This zenodo update replaces the original LSST*.* files with files that have a DOCUMENTATION yaml block at the top. This update also includes 2 files missing from the original release (LSST_PIPELINE_LOGIC.DAT and LSST_SEARCHEFF_PIPELINE.DAT files). [ignore previous v3 ... forgot to upload the new files]
DOI: 10.5519/qd.xfbu8f9g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (101 records)
DOI: 10.5281/zenodo.6672798
title: Echinosphaeria canescens decontaminated gx

description: .
DOI: 10.5281/zenodo.6672797
title: Echinosphaeria canescens decontaminated gx

description: .
DOI: 10.5281/zenodo.5768610
title: Tools in industry(ROBODK)

description: The current data set presents a simulated environment of a production line, describing common elements present around a robotic arm. The dataset focuses on segmentation and describes a total of 11 classes: Recipient 1 (Blue Circle) Recipient 2 (Yellow square Recipient 3 (Red rectangle) Recipient 4 (Brown rectangle) Wrench Screw Barrette cradle ball bearing Screwdriver Nut Obst1 Obst2 Background The data set was generated from a simulated environment in ROBODK in the modeling of a robotic arm for industrial tasks.
DOI: 10.5281/zenodo.6672764
title: CONTENT -- Multi-context genetic modeling TWAS and eAssociation summary statistics

description: We provide the summary statistics of running CONTENT, the context-by-context approach, and UTMOST on over 22 phenotypes. The phenotypes are listed in the manuscript, and their respective studies and sample size can be found in a table under the supplementary section of the manuscript. All 3 methods were trained on GTEx v7 as well as CLUES, a single-cell RNA sequencing dataset of PBMCs. The data include the gene name, model, cross-validated R^2, prediction pvalue, TWAS p value, TWAS Z score, and a column titled "hFDR" indicating whether the association was statistically significant while employing hierarchical FDR. The benefits of employing such an approach for all methods can be found in the manuscript. We also include the eAssociations that we obtain by training prediction models on GTEx and CLUES alone. For the CxC and UTMOST approaches, these files contain the gene, context, pvalue and adjusted R^2. For CONTENT, these include the gene, context and pvalue and adjusted R^2 for each CONTENT model--the column names are described like a regression of y~x, rsq_y_x, so rsq_observed_full is the adjusted R^2 from regressing the observed expression onto the cross-validated full model predictions. In cases where the R^2 is higher from the specific or shared models, it's best to use either of those rather than the full model for out of sample prediction.
DOI: 10.5281/zenodo.5208182
title: CONTENT -- Multi-context genetic modeling TWAS and eAssociation summary statistics

description: We provide the summary statistics of running CONTENT, the context-by-context approach, and UTMOST on over 22 phenotypes. The phenotypes are listed in the manuscript, and their respective studies and sample size can be found in a table under the supplementary section of the manuscript. All 3 methods were trained on GTEx v7 as well as CLUES, a single-cell RNA sequencing dataset of PBMCs. The data include the gene name, model, cross-validated R^2, prediction pvalue, TWAS p value, TWAS Z score, and a column titled "hFDR" indicating whether the association was statistically significant while employing hierarchical FDR. The benefits of employing such an approach for all methods can be found in the manuscript. We also include the eAssociations that we obtain by training prediction models on GTEx and CLUES alone. For the CxC and UTMOST approaches, these files contain the gene, context, pvalue and adjusted R^2. For CONTENT, these include the gene, context and pvalue and adjusted R^2 for each CONTENT model--the column names are described like a regression of y~x, rsq_y_x, so rsq_observed_full is the adjusted R^2 from regressing the observed expression onto the cross-validated full model predictions. In cases where the R^2 is higher from the specific or shared models, it's best to use either of those rather than the full model for out of sample prediction.
DOI: 10.17632/jg4xp7883w.1
title: Health-related Quality of Life of Persons Living with Tuberculosis

description: This data is on a study which accessed the health-related quality of life of persons living with Tuberculosis
DOI: 10.17632/ymvwjg5kt4.1
title: Alignments of 28S, COI and 16S on five Triops granarius populations

description: These are alignment files produced on CLC Main Workbench and exported as FASTA alignment format.  A variety of software can view the data sets, including MEGA.
DOI: 10.21227/qkk3-2145
title: IDFire: Image Dataset for Indoor Fire Load Recognition

description: Accurate fire load (combustible objects) information is crucial for safety design and resilience assessment of buildings. Traditional fire load acquisition methods, such as fire load survey, which are time-consuming, tedious, and error-prone, failed to adapt to dynamic changed indoor scenes. As a starting point of automatic fire load estimation, fast recognition and detection of indoor fire load are important. Thus, A dataset containing images of indoor scenes and annotations of instance segmentation is developed in this research. In total, 1015 images are contained in the dataset, distributed across five typical scenes: bedroom, dining room, hospital, living room, and office.
DOI: 10.6084/m9.figshare.20103518
title: Intrinsic threshold plasticity: cholinergic activation and role in the neuronal recognition of incomplete input patterns - Data, figures and codes

description: This includes codes, data, figures and dependencies of the following repository: https://github.com/HAN-CELL-LAB/PhamHansel-intrinsic-exc-2022
DOI: 10.6084/m9.figshare.20103518.v1
title: Intrinsic threshold plasticity: cholinergic activation and role in the neuronal recognition of incomplete input patterns - Data, figures and codes

description: This includes codes, data, figures and dependencies of the following repository: https://github.com/HAN-CELL-LAB/PhamHansel-intrinsic-exc-2022
DOI: 10.6084/m9.figshare.20103656
title: You can go your own way: How transit-country migration attitudes are influenced by European Union ideals

description: Dataset of people attitudes toward Syrian refugees and the dofile.
DOI: 10.6084/m9.figshare.20102096
title: Beads data

description: Axial and HWFM distribution for different FOVs
DOI: 10.6084/m9.figshare.20102096.v2
title: Beads data

description: Axial and HWFM distribution for different FOVs
DOI: 10.6084/m9.figshare.20102096.v1
title: Beads data

description: Axial and HWFM distribution for different FOVs
DOI: 10.6084/m9.figshare.20085992
title: Neural activity after CNMF-E extraction

description: This .mat file is the result of neural activities under SMART microscopy, after processed by the CNMF-E algorithm. This file include valid_C, a matrix of eural traces for 5540 cells*10012 time points and valid_S, a matrix of neural spikes for 5540 cells*10012 time points.
DOI: 10.6084/m9.figshare.20085992.v2
title: Neural activity after CNMF-E extraction

description: This .mat file is the result of neural activities under SMART microscopy, after processed by the CNMF-E algorithm. This file include valid_C, a matrix of eural traces for 5540 cells*10012 time points and valid_S, a matrix of neural spikes for 5540 cells*10012 time points.
DOI: 10.6084/m9.figshare.20085992.v1
title: Neural activity after CNMF-E extraction

description: This .mat file is the result of neural activities under SMART microscopy, after processed by the CNMF-E algorithm. This file include valid_C, a matrix of eural traces for 5540 cells*10012 time points and valid_S, a matrix of neural spikes for 5540 cells*10012 time points.
DOI: 10.15156/bio/sh283794.07fu
title: SH283794.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh283795.07fu
title: SH283795.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.