cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6556515
title: Echoes from the past: Influence of collective memory and historical victimhood on ethnic and national identities

description: Collective memories which is a group’s shared representations of its past and which has the potentiality of shaping identity was examined in the context of a highly pluralistic society in the study. The research was conducted among 650 purposively selected participants from the three major ethnic groups in Nigeria through an online survey. The study seeks to know if pleasant collective memories will positively influence ethnic (subgroup) identification and national (superordinate) identification, and if on the other hand, unpleasant collective memories will be positively associated with ethnic identification but negatively associated with national identification. The study also seeks to know if victim beliefs will influence engagement in collective actions against authorities for justice. Respondents were measured on collective memories, victim beliefs, ethnic and national identifications scales. Findings of the study through a Latent Class Analysis (LCA) and Path Model Analysis indicate that pleasant collective memories positively influenced ethnic identification and national identification b = .56, SE = .15, p &lt; .001, b = .67, SE = .14, p &lt; .004, respectively. Also, result indicates that unpleasant collective memories has a significant positive influence on ethnic identification, but a significant negative influence on national identity. (b= 0.239, -0.058), respectively. Furtherance to this, Victim belief was found to be a predictor of collective action. (b = 0.251, p-value = 0.009 95% CI [0.12, 0.90], although, pleasant collective memories reduce the likelihood of collective action, (b = -0.716, p-value = 0.000). The study discusses how these dynamics influence ethnic group’s relations with other ethnic groups and the government of a pluralistic society.
DOI: 10.5281/zenodo.6945991
title: Data from: Temporal and spatial positioning of service crops in cereals affects yield and weed control

description: Data sets used for analyses made in the article <em>Temporal and spatial positioning of service crops in cereals affects yield and weed control</em> collected under three field seasons in four experiments studying a relay intercropping system of cereals and forage legumes. For more details on the experiment see the article. The treatment and experimental names were changed for the article:<br> Experimental sites:<br> SK1 = 3583<br> OG1 = 3584<br> SK2 = 3585<br> OG2 = 3586 Treatments:<br> Early Intra = A<br> Late Inter = B<br> Late adjacent = C<br> Control (no service crop) = 1<br> Frost sensitive annuals = 2<br> Perennials = 4<br> Frost tolerant annuals = 3 For the proportion of fixed nitrogen (files starting with N15leg) two different questions (Q1 and Q2) were asked to the data set, according to the data included. .1 and .2 indicate that the data sets are from all experiments or only experiments where frost tolerant annuals were included.<br> Q1 = Does the proportion of fixed nitrogen in SC above ground biomass vary between service crop species?<br> Q2 = Does the proportion of fixed nitrogen in SC above ground biomass vary between SC sowing time? WA is an abbreviation which was earlier used for frost tolerant annuals, so the same as the abbreviation T in the article. Hence, files with the word "all" in the name were used for the analyses called "S & P" in the article. While those with the abbreviation WA or ABC in the name were used for the analyses called "S, P & T" in the article.
DOI: 10.5281/zenodo.6945990
title: Data from: Temporal and spatial positioning of service crops in cereals affects yield and weed control

description: Data sets used for analyses made in the article <em>Temporal and spatial positioning of service crops in cereals affects yield and weed control</em> collected under three field seasons in four experiments studying a relay intercropping system of cereals and forage legumes. For more details on the experiment see the article. The treatment and experimental names were changed for the article:<br> Experimental sites:<br> SK1 = 3583<br> OG1 = 3584<br> SK2 = 3585<br> OG2 = 3586 Treatments:<br> Early Intra = A<br> Late Inter = B<br> Late adjacent = C<br> Control (no service crop) = 1<br> Frost sensitive annuals = 2<br> Perennials = 4<br> Frost tolerant annuals = 3 For the proportion of fixed nitrogen (files starting with N15leg) two different questions (Q1 and Q2) were asked to the data set, according to the data included. .1 and .2 indicate that the data sets are from all experiments or only experiments where frost tolerant annuals were included.<br> Q1 = Does the proportion of fixed nitrogen in SC above ground biomass vary between service crop species?<br> Q2 = Does the proportion of fixed nitrogen in SC above ground biomass vary between SC sowing time? WA is an abbreviation which was earlier used for frost tolerant annuals, so the same as the abbreviation T in the article. Hence, files with the word "all" in the name were used for the analyses called "S & P" in the article. While those with the abbreviation WA or ABC in the name were used for the analyses called "S, P & T" in the article.
DOI: 10.6084/m9.figshare.13636388
title: Potential mimicry of viral and pancreatic  cell antigens through non-spliced and cis-spliced zwitter epitope candidates in Type 1 Diabetes

description: Tables S4 and S5 published in Mishto et al, Front. Immunol. 2021
DOI: 10.6084/m9.figshare.13636388.v1
title: Potential mimicry of viral and pancreatic  cell antigens through non-spliced and cis-spliced zwitter epitope candidates in Type 1 Diabetes

description: Tables S4 and S5 published in Mishto et al, Front. Immunol. 2021
DOI: 10.5281/zenodo.6482543
title: Simulated tropical stratospheric upwelling and O$_{3}$ interactions with the 1D RCE model konrad

description: Model output of the control and CO$_{2}$-doubling experiments with the 1D radiative-convective equilibrium (RCE) model `konrad`. The model output consists of temperature, atmospheric composition, radiative flux, heating rate profiles, time series of the convective top, surface temperature, and the net radiative flux at the top of the atmosphere. It also includes metadata such as the parameters used for each run. The experiments varied the relative humidity profile, the representation of O$_{3}$ chemistry, and, more importantly, a parameterization of the cooling due to the tropical stratospheric upwelling caused by the Brewer-Dobson Circulation. With the dataset, one can study the effects the tropical stratospheric upwelling on the tropical equilibrium climate sensitivity.
DOI: 10.5281/zenodo.6482542
title: Simulated tropical stratospheric upwelling and O$_{3}$ interactions with the 1D RCE model konrad

description: Model output of the control and CO$_{2}$-doubling experiments with the 1D radiative-convective equilibrium (RCE) model `konrad`. The model output consists of temperature, atmospheric composition, radiative flux, heating rate profiles, time series of the convective top, surface temperature, and the net radiative flux at the top of the atmosphere. It also includes metadata such as the parameters used for each run. The experiments varied the relative humidity profile, the representation of O$_{3}$ chemistry, and, more importantly, a parameterization of the cooling due to the tropical stratospheric upwelling caused by the Brewer-Dobson Circulation. With the dataset, one can study the effects the tropical stratospheric upwelling on the tropical equilibrium climate sensitivity.
DOI: 10.5281/zenodo.7050195
title: 3' RNA Seq in Aortenklappenstenose in DIO; NZO; OP - Projekt 566

description: 3' RNA Seq in Aortenklappenstenose in DIO; NZO; OP - Projekt 566
DOI: 10.5281/zenodo.7050194
title: 3' RNA Seq in Aortenklappenstenose in DIO; NZO; OP - Projekt 566

description: 3' RNA Seq in Aortenklappenstenose in DIO; NZO; OP - Projekt 566
DOI: 10.6084/m9.figshare.20938687.v1
title: David's thesis analyses

description: This file is the main script that contain all the data analyses of my thesis
DOI: 10.6084/m9.figshare.20938687
title: David's thesis analyses

description: This file is the main script that contain all the data analyses of my thesis
DOI: 10.34740/kaggle/dsv/4163479
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.20712877
title: Clinical efficacy and safety of robot assisted surgery for choledochal cysts excisions: a systematic review and meta-analysis

description: This study aimed to evaluate the safety and therapeutic effect of Robot-assisted surgery (RAS) for choledochal cysts (CCs) excisions. PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, WanFang, VIP, and CBM were searched from database inception to 1 May 2022. The Newcastle-Ottawa scale (NOS) was used to conduct quality assessments, and RevMan (Version 5.4) was used to perform the meta-analysis. In all, 9 studies, involving 623 patients, were analyzed. RAS compared with LAS was associated with less intraoperative blood loss, shorter time to start solid diets, shorter postoperative hospital stay, and lower complications. There was no significant difference in operative time between the two groups, but the total costs were higher in RAS. Our subgroup analysis showed that RAS had significant advantages over LAS in the child group: minor bleeding, shorter length of hospital stay, and fewer postoperative complications. The available evidence indicates that the RAS system has the advantages of less intraoperative blood loss, minor tissue damage, quick recovery, and sound healing in treating choledochal cyst, which proves that the RAS is safely feasible. Especially in children, RAS tends to be a better choice.
DOI: 10.6084/m9.figshare.20712877.v1
title: Clinical efficacy and safety of robot assisted surgery for choledochal cysts excisions: a systematic review and meta-analysis

description: This study aimed to evaluate the safety and therapeutic effect of Robot-assisted surgery (RAS) for choledochal cysts (CCs) excisions. PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, WanFang, VIP, and CBM were searched from database inception to 1 May 2022. The Newcastle-Ottawa scale (NOS) was used to conduct quality assessments, and RevMan (Version 5.4) was used to perform the meta-analysis. In all, 9 studies, involving 623 patients, were analyzed. RAS compared with LAS was associated with less intraoperative blood loss, shorter time to start solid diets, shorter postoperative hospital stay, and lower complications. There was no significant difference in operative time between the two groups, but the total costs were higher in RAS. Our subgroup analysis showed that RAS had significant advantages over LAS in the child group: minor bleeding, shorter length of hospital stay, and fewer postoperative complications. The available evidence indicates that the RAS system has the advantages of less intraoperative blood loss, minor tissue damage, quick recovery, and sound healing in treating choledochal cyst, which proves that the RAS is safely feasible. Especially in children, RAS tends to be a better choice.
DOI: 10.5281/zenodo.5136920
title: Data Set of Uneven Spatial Evolution Mechanisms of Landslide Dam Breaching

description: Data that can be used to replicate and validate the results presented here are available through the upload file.
DOI: 10.5281/zenodo.6802436
title: [Original Data] Mechanisms of the Non-uniform Topographic Evolution of Landslide Dams Composed of Unconsolidated Sediments During Overtopping Failure

description: Data that can be used to replicate and validate the results presented here are available through the upload file.
DOI: 10.5281/zenodo.6911928
title: [Original Data] Mechanisms of the Non-uniform Topographic Evolution of Landslide Dams Composed of Unconsolidated Sediments During Overtopping Failure

description: Data that can be used to replicate and validate the results presented here are available through the upload file. Data access will be available upon request prior to official publication of this work.
DOI: 10.6084/m9.figshare.20939335
title: UMAP visualization of WBC and RBC morphotypes

description: JSON files containing UMAP coordinates for WBC and RBC morphometry and their morphotype classification.
DOI: 10.5281/zenodo.6652306
title: Data for Reported user-generated online hate speech: The 'ecosystem', frames, and ideologies

description: This is the dataset for the article entitled Reported user-generated online hate speech: The 'ecosystem', frames, and ideologies. The same dataset is provided in two different formats: comma-separated values (.csv) and Excel format (.xlsx). A basic legend to the data is provided separately in the corresponding PDF document. An extended legend to the data is available at: <strong>https://doi.org/10.5281/zenodo.6656185</strong>.
description: An extended legend to the data is available at: https://doi.org/10.5281/zenodo.6656185.
DOI: 10.5281/zenodo.6652305
title: Data for Reported user-generated online hate speech: The 'ecosystem', frames, and ideologies

description: This is the dataset for the article entitled Reported user-generated online hate speech: The 'ecosystem', frames, and ideologies. The same dataset is provided in two different formats: comma-separated values (.csv) and Excel format (.xlsx). A basic legend to the data is provided separately in the corresponding PDF document. An extended legend to the data is available at: <strong>https://doi.org/10.5281/zenodo.6656185</strong>.
description: An extended legend to the data is available at: https://doi.org/10.5281/zenodo.6656185.
DOI: 10.5281/zenodo.6866890
title: Dataset for the challenge at the 2nd MODE workshop on differentiable programming 2022

description: Data is in HDF5 format (with LZF compression). For specifics and details, please see https://github.com/GilesStrong/mode_diffprog_22_challenge The training file contains two datasets: `'x0'`: a set of voxelwise X0 predictions (float32) `'targs'`: a set of voxelwise classes (int): 0 = soil 1 = wall The format of the datasets is a rank-4 array, with dimensions corresponding to (samples, z position, x position, y position). All passive volumes are of the same size: 10x10x10 m, with cubic voxels of size 1x1x1 m, i.e. every passive volume contains 1000 voxels. The arrays are ordered such that zeroth z layer is the bottom layer of the passive volume, and the ninth layer is the top layer. It can be read using e.g. the code below: <em>with h5py.File('train.h5', 'r') as f:</em> <em> inputs = h5['x0'][()]</em> <em> targets = h5['targs'][()]</em> The test file only contains the X0 inputs: <em>with h5py.File('test.h5', 'r') as h5:</em> <em> inputs = h5['x0'][()]</em> The private testing sample also contains targets. The private and public splits can be recovered using: <em>from sklearn.model_selection import train_test_split</em> <em>pub, pri = train_test_split(targets, test_size=25000, random_state=3452, shuffle=True)</em>
DOI: 10.5281/zenodo.6866891
title: Dataset for the challenge at the 2nd MODE workshop on differentiable programming 2022

description: Data is in HDF5 format (with LZF compression). For specifics and details, please see https://github.com/GilesStrong/mode_diffprog_22_challenge, N.B. Link active after 01/08/22 The training file contains two datasets: `'x0'`: a set of voxelwise X0 predictions (float32) `'targs'`: a set of voxelwise classes (int): 0 = soil 1 = wall The format of the datasets is a rank-4 array, with dimensions corresponding to (samples, z position, x position, y position). All passive volumes are of the same size: 10x10x10 m, with cubic voxels of size 1x1x1 m, i.e. every passive volume contains 1000 voxels. The arrays are ordered such that zeroth z layer is the bottom layer of the passive volume, and the ninth layer is the top layer. It can be read using e.g. the code below: <em>with open('train.h5') as h5:</em> <em> inputs = h5['x0'][()]</em> <em> targets = h5['targs'][()]</em> The test file only contains the X0 inputs: <em>with open('test.h5') as h5:</em> <em> inputs = h5['x0'][()]</em>
DOI: 10.5281/zenodo.7050560
title: Dataset for the challenge at the 2nd MODE workshop on differentiable programming 2022

description: Data is in HDF5 format (with LZF compression). For specifics and details, please see https://github.com/GilesStrong/mode_diffprog_22_challenge The training file contains two datasets: `'x0'`: a set of voxelwise X0 predictions (float32) `'targs'`: a set of voxelwise classes (int): 0 = soil 1 = wall The format of the datasets is a rank-4 array, with dimensions corresponding to (samples, z position, x position, y position). All passive volumes are of the same size: 10x10x10 m, with cubic voxels of size 1x1x1 m, i.e. every passive volume contains 1000 voxels. The arrays are ordered such that zeroth z layer is the bottom layer of the passive volume, and the ninth layer is the top layer. It can be read using e.g. the code below: <em>with h5py.File('train.h5', 'r') as f:</em> <em> inputs = h5['x0'][()]</em> <em> targets = h5['targs'][()]</em> The test file only contains the X0 inputs: <em>with h5py.File('test.h5', 'r') as h5:</em> <em> inputs = h5['x0'][()]</em> The private testing sample also contains targets. The private and public splits can be recovered using: <em>from sklearn.model_selection import train_test_split</em> <em>pub, pri = train_test_split(targets, test_size=25000, random_state=3452, shuffle=True)</em>
DOI: 10.6084/m9.figshare.20917117
title: batrachocephalus_mino_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20917117.v1
title: batrachocephalus_mino_ragtag_1.fasta.gz

description: ......
DOI: 10.34740/kaggle/dsv/4163603
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7050670
title: Data for: Extreme shifts in habitat suitability under contemporary climate change for a high-Arctic herbivore

description: Data and code associated with MaxEnt analyses to quantify shifts in habitat suitability of muskoxen in the Northeast Greenland National Park. Details on how to use the files are provided in the README.docx file
DOI: 10.5281/zenodo.7050669
title: Data for: Extreme shifts in habitat suitability under contemporary climate change for a high-Arctic herbivore

description: Data and code associated with MaxEnt analyses to quantify shifts in habitat suitability of muskoxen in the Northeast Greenland National Park. Details on how to use the files are provided in the README.docx file
DOI: 10.5523/bris.2cgaw1go9gtyo1z163m822wscs
title: Interviews with UK Chinese individuals

description: This study is a qualitative study in which in-depth semi-structured interviews were undertaken with UK Chinese individuals to investigate i) their views on organ donation and transplantation, and ii) their experiences of the COVID-19 pandemic (early stages). 16 individuals were interviewed. The dataset comprises 15 transcripts. One participant did not provide consent for data sharing.
DOI: 10.6084/m9.figshare.20939389
title: General explaination to analyses

description: This is the file that contains all the guide to the thesis analysis
DOI: 10.6084/m9.figshare.20939389.v1
title: General explaination to analyses

description: This is the file that contains all the guide to the thesis analysis
DOI: 10.5285/7dc6e19d-79fa-41f1-99a7-da408592382f
title: Multi-satellite floe size distribution of Arctic sea ice 2000-2020

description: This dataset contains the floe size distribution (FSD) data derived from multi-satellite imagery data acquired across the Arctic Ocean. Satellite imagery data includes high-resolution visible images from the USGS Global Fiducials Library (MEDEA), TerraSAR-X/TanDEM-X and Worldview-3 (WV3). The derived data contain floe size (calliper diameter), shape factor, minor/major axis, perimeter and area of the floes. This data set has been used to investigate the characteristics of the FSD during major seasonal evaluation stages of Arctic sea ice floes. The retrieval of the FSD data was done by the University of Huddersfield team. This work was funded by NERC MOSAiC program NE/S002545/1.
description: The FSD data were derived from multi-satellite imagery data, including MEDEA, TerraSAR-X/TanDEM-X and WorldView-3. For MEDEA images, the selected images were cropped to remove the areas with clouds and missing data. The cropped images were then used to derive the FSD. For TerraSAR-X/TanDEM-X images, the raw data (Level 1B products) were acquired from DLR (under TSX SSS project hwang_OCE3757). The images were applied to ellipsoid correction (range doppler) and speckle filter (median) and converted to GeoTIFF files. Those GeoTIFF files were used to derive the FSD. For WorldView-3, panchromatic images were used to derive the FSD. The floe size distribution was derived from those images using the algorithm described in Hwang et al. (2017).
description: Characteristics of satellite imagery data used to derive the FSD data are described below. MEDEA: 1-m resolution visible (panchromatic) satellite imagery from the USGS Global Fiducials Library (GFL) (https://gfl.usgs.gov), declassified by the MEDEA group. TerraSAR-X or TanDEM-X: X-band satellites operated by the German Aerospace Centre (DLR, www.dlr.de). For the FSD retrieval, three image mode data - Spotlight (SL), StripMap (SM) and ScanSAR (SC) were used (for the details of the image modes, see https://earth.esa.int/eogateway/catalog/terrasar-x-esa-archive). WorldView-3: A commercial satellite by Digital Globe (https://www.digitalglobe.com). The FSD data was derived from a panchromatic image of WorldView-3 (WV3).
description: The data quality was checked by manual inspection for each imagery data. It should be noted that some of the small floes can be erroneous due to noises or internal variations within the images. However, no minimum threshold for the smallest detectable floes was set for this dataset (i.e., the smallest floe equals one image pixel). This is to provide flexibility for the users to select the minimum threshold for the smallest detectable floes. For instance, in our observational study, the minimum threshold was set to be 5 m for MEDEA/WV images (i.e., the floes small than 5 m in diameter were discarded from the analysis) and 15 m for TerraSAR-X images (i.e., the floes small than 15 m in diameter were discarded from the analysis).
DOI: 10.5281/zenodo.7050694
title: List of ichthyofauna of the DMZ

description: List of ichthyofauna of the DMA, South Korea
DOI: 10.5281/zenodo.7050693
title: List of ichthyofauna of the DMZ

description: List of ichthyofauna of the DMA, South Korea
DOI: 10.7910/dvn/b92cb8
title: BitPeople: A Proof-of-Unique-Human System

description: BitPeople is based on pseudonym events, global and simultaneous verification events that occur at the exact same time for every person on Earth. In these events, people are randomly paired together, 1-on-1, to verify that the other is a person, in a pseudo-anonymous context, over video chat. The event lasts 15 minutes, and the proof-of-unique-human is that you are with the same person for the whole event. The proofs, valid for a month, can be disposed of once no longer valid, and are untraceable from month to month.
DOI: 10.5281/zenodo.7050707
title: Raw results of nanoLC-Q-TOF-MS /MS for four immunoblotting spots with elevated autoantibody levels in early ESCC.

description: NanoLC-Q-TOF-MS/MS was used to identified the candidate autoantibodies which were detected from the serum of ESCC patients but not from healthy controls. Mascot searching engine were used to make a confirmation of the information provided by MS spectrum. In the database are the original results of the immunoblotting spots that we screened.