cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/rq89-mb50
title: Simple and Efficient? Evaluation of Transitions for Task-Driven Cross-Reality Experiences - Results

description: The inquiry into the impact of diverse transitions between cross-reality environments on the user experience remains a compelling research endeavor. Existing work often offers fragmented perspectives on various techniques or confines itself to a singular segment of the reality-virtuality spectrum, be it virtual reality or augmented reality.This study embarks on bridging this knowledge gap by systematically assessing the effects of six prevalent transitions while users remain immersed in tasks spanning both virtual and physical domains. As a preliminary step, we evaluate these six transitions within the realm of pure virtual reality to establish a baseline.Our findings reveal a clear preference among participants for brief and efficient transitions, contrasting with transitions that prioritize heightened interactivity and continuity.Subsequently, we extend our investigation into a cross-reality context, encompassing transitions between virtual and physical environments. Once again, our results underscore the prevailing preference for concise and effective transitions.Furthermore, our research offers intriguing insights hinting at the potential mitigation of visual incongruities between virtual reality and augmented reality environments observed in specific transition scenarios.
DOI: 10.5281/zenodo.8336570
title: Image Dataset of Structures Damaged by Wildfire in California 2020-2022

description: The dataset contains over 18,000 images of homes damaged by wildfire between 2020 and 2022 in California, USA, captured by the California Department of Forestry and Fire Protection (Cal Fire) during the damage assessment process. The dataset spans across more than 18 wildfire events, including the 2020 August Complex Fire, the first recorded "gigafire" event in California where the area burned exceeded 1 million acres. Each image, corresponding to a built structure, is classified by government damage assessors into 6 different categories: No Damage, Affected (1-9%), Minor (10-25%), Major (26-50%), Destroyed (&gt;50%), and Inaccessible (image taken but not assessment made). While over 57,000 structures were evaluated during the damage assessment process, only about 18,000 contains images; additional data about the structures, such as the street address or structure materials, for both those with and without corresponding images can be accessed in the "Additional Attribute Data" file. The 18 wildfire events captured in the dataset are: [AUG] August Complex (2020) [BEA] Bear Fire (2020) [BEU] BEU Lightning Complex Fire (2020) [CAL] Caldor Fire (2021) [CAS] Castle Fire (2020) [CRE] Creek Fire (2020) [DIN] DINS Statewide (Collection of Smaller Fires, 2021) [DIX[ Dixie Fire (2021) [FAI] Fairview Fire (2022) [FOR] Fork Fire (2022) [GLA] Glass Fire (2020) [MIL] Mill Mountain Fire (2022) [MON] Monument Fire (2021) [MOS] Mosquito Fire (2022) [POST] Post Fire (2020) [SCU] SCU Complex Fire (2020) [VAL] Valley Fire (2020) [ZOG] Zogg Fire (2020) The author retrieved the data, originally published as GIS features layers, from from the publicly accessible CAL FIRE Hub, then subsequently processed it into image and tabular formats. The author collaborated with Cal Fire in working with the data, and has received explicit permission for republication.
DOI: 10.5281/zenodo.8336569
title: Image Dataset of Structures Damaged by Wildfire in California 2020-2022

description: The dataset contains over 18,000 images of homes damaged by wildfire between 2020 and 2022 in California, USA, captured by the California Department of Forestry and Fire Protection (Cal Fire) during the damage assessment process. The dataset spans across more than 18 wildfire events, including the 2020 August Complex Fire, the first recorded "gigafire" event in California where the area burned exceeded 1 million acres. Each image, corresponding to a built structure, is classified by government damage assessors into 6 different categories: No Damage, Affected (1-9%), Minor (10-25%), Major (26-50%), Destroyed (&gt;50%), and Inaccessible (image taken but not assessment made). While over 57,000 structures were evaluated during the damage assessment process, only about 18,000 contains images; additional data about the structures, such as the street address or structure materials, for both those with and without corresponding images can be accessed in the "Additional Attribute Data" file. The 18 wildfire events captured in the dataset are: [AUG] August Complex (2020) [BEA] Bear Fire (2020) [BEU] BEU Lightning Complex Fire (2020) [CAL] Caldor Fire (2021) [CAS] Castle Fire (2020) [CRE] Creek Fire (2020) [DIN] DINS Statewide (Collection of Smaller Fires, 2021) [DIX[ Dixie Fire (2021) [FAI] Fairview Fire (2022) [FOR] Fork Fire (2022) [GLA] Glass Fire (2020) [MIL] Mill Mountain Fire (2022) [MON] Monument Fire (2021) [MOS] Mosquito Fire (2022) [POST] Post Fire (2020) [SCU] SCU Complex Fire (2020) [VAL] Valley Fire (2020) [ZOG] Zogg Fire (2020) The author retrieved the data, originally published as GIS features layers, from from the publicly accessible CAL FIRE Hub, then subsequently processed it into image and tabular formats. The author collaborated with Cal Fire in working with the data, and has received explicit permission for republication.
DOI: 10.25345/c59g5gq64
title: MassIVE MSV000092837 - 230907 CB samples GNPS-MassIVE
title: 230907 CB samples GNPS-MassIVE 230907 CB samples GNPS-MassIVE 230907 CB samples GNPS-MassIVE
DOI: 10.5281/zenodo.8212075
title: Input files for konrad aerosol module

description: # Input files for konrad aerosol module The 1D RCE model konrad is available at<br> https://github.com/atmtools/konrad/ These are alternative input files with<br> aerosol radiative properties. They were created and processed by<br> Clarissa Kroll, post-processed by Moritz<br> Günther. There is always one file for each month.<br> Extinction in the shortwave (ext_sw),<br> extinction in the longwave (ext_lw),<br> shortwave assymetry factor (g_sw) and<br> shortwave single scattering albedo (omega_sw)<br> must each be specified to konrad, e.g. ```python<br> import konrad<br> aerosol = konrad.aerosol.VolcanoAerosol(<br> ...,<br> file_ext_lw="CMIP6/CMIP6_ext_lw_1991-9.nc",<br> file_ext_sw="CMIP6/CMIP6_ext_sw_1991-9.nc",<br> file_g_sw="CMIP6/CMIP6_g_sw_1991-9.nc",<br> file_omega_sw="CMIP6/CMIP6_omega_sw_1991-9.nc",<br> ...,<br> )<br> ``` ## CMIP6<br> - based on an updated version of the Pinatubo aerosol data set (PADS)<br> Stenchikov et al., 1998, DOI:10.1029/98JD00693<br> Driscoll et al., 2012, DOI: 10.1029/2012JD017607<br> Schmidt et al., 2013, DOI: 10.1002/jame.20014<br> - area-averaged over 23 N to 23 S ## EVA<br> - created using the Easy Volcanic Aerosol idealized forcing generator<br> (Toohey et al. 2016, GMD, DOI:10.5194/gmd-9-4049-2016<br> - inputs to EVA were:<br> - eruption mass (in TgS) specified in file name<br> - eruption latitude: 0 degrees<br> - eruption date: June 1991<br> - area-averaged over 23 N to 23 S
DOI: 10.5281/zenodo.8212074
title: Input files for konrad aerosol module

description: # Input files for konrad aerosol module The 1D RCE model konrad is available at<br> https://github.com/atmtools/konrad/ These are alternative input files with<br> aerosol radiative properties. They were created and processed by<br> Clarissa Kroll, post-processed by Moritz<br> Günther. There is always one file for each month.<br> Extinction in the shortwave (ext_sw),<br> extinction in the longwave (ext_lw),<br> shortwave assymetry factor (g_sw) and<br> shortwave single scattering albedo (omega_sw)<br> must each be specified to konrad, e.g. ```python<br> import konrad<br> aerosol = konrad.aerosol.VolcanoAerosol(<br> ...,<br> file_ext_lw="CMIP6/CMIP6_ext_lw_1991-9.nc",<br> file_ext_sw="CMIP6/CMIP6_ext_sw_1991-9.nc",<br> file_g_sw="CMIP6/CMIP6_g_sw_1991-9.nc",<br> file_omega_sw="CMIP6/CMIP6_omega_sw_1991-9.nc",<br> ...,<br> )<br> ``` ## CMIP6<br> - based on an updated version of the Pinatubo aerosol data set (PADS)<br> Stenchikov et al., 1998, DOI:10.1029/98JD00693<br> Driscoll et al., 2012, DOI: 10.1029/2012JD017607<br> Schmidt et al., 2013, DOI: 10.1002/jame.20014<br> - area-averaged over 23 N to 23 S ## EVA<br> - created using the Easy Volcanic Aerosol idealized forcing generator<br> (Toohey et al. 2016, GMD, DOI:10.5194/gmd-9-4049-2016<br> - inputs to EVA were:<br> - eruption mass (in TgS) specified in file name<br> - eruption latitude: 0 degrees<br> - eruption date: June 1991<br> - area-averaged over 23 N to 23 S
DOI: 10.6084/m9.figshare.24125265
title: <b>Species annotation Reads count and gene TPM raw data</b>

description: <b>Species annotation Reads count and gene TPM raw data</b>
DOI: 10.6084/m9.figshare.24125265.v1
title: <b>Species annotation Reads count and gene TPM raw data</b>

description: <b>Species annotation Reads count and gene TPM raw data</b>
DOI: 10.17031/10.17031/ipgm10.1
title: 1953-1963 Wells and Carlisle Plymouth and Solent Marine Strategy Framework Directive Styela clava records
title: 1987 Wells and Carlisle Plymouth and Solent Marine Strategy Framework Directive Styela clava records

description: This dataset has been digitised from an article (Wells R (1987) Solent Aliens. Hampshire and Isle of Wight Naturalists Trust Newsletter, April 1987) detailing the potential vectors of introduction of invasive species in the Solent as of 1987, and Carlisle, D. (1954) Styela mammiculata n.sp., a new species of ascidian from the Plymouth area. Journal of the Marine Biological Association of the United Kingdom, 33(2),329-334.
description: 6 records
DOI: 10.5281/zenodo.7784147
title: A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem

description: The dataset for our paper 'A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem'. It consists of 5 real KGs (<code>Mondial</code>, <code>OpenCyc</code>, <code>LinkedMDB</code>, <code>YAGO</code>, <code>DBpedia</code>) and 5 synthetic KGs (<code>LUBM-10U</code>, <code>LUBM-50U</code>, <code>LUBM-250U</code>, <code>LUBM-2U</code>, <code>DBP-50K</code>). Each KG is compressed in one file, which including (for example, in <code>LUBM-2U</code>): <code>lubm_2u_nodes.sql</code>: the id, the name and the weight of a node, <code>lubm_2u_edges.sql</code>: the ids of two nodes an edge connects, <code>lubm_2u_queries.sql</code>: a query consists of some keywords, <code>lubm_2u_keymap.sql</code>: a keyword maps to a set of nodes, <code>lubm_2u_nodevec.sql</code>: the vector of a node, used to compute quadratic function qw, <code>lubm_2u_hub_hop.sql</code>: the hub labeling index to compute in Section 4.1, <code>lubm_2u_hub_mix_1.sql</code>: the hub labeling index to compute in Section 4.1 where α=0.1, <code>lubm_2u_hub_mix_5.sql</code>: the hub labeling index to compute in Section 4.1 where α=0.5, <code>lubm_2u_hub_mix_9.sql</code>: the hub labeling index to compute in Section 4.1 where α=0.9. You can dump the data into MySQL database. For example, <pre><code>create database lubm_2u; use lubm_2u; source lubm_2u_nodes.sql; …</code></pre> Unfortunately, due to the limit of space, for large KGs (<code>DBpedia</code> and <code>LUBM-250U</code>), we don't directly provide the data of hub labeling, i.e., these two compressed files only contains the first 5 sql files. You should generate hub labeling by yourself where the process is detailed in README of our project.
DOI: 10.5285/6b63e276-2f65-4300-98fa-9f35fb118e32
title: Geochemical characterisation of San Andreas Fault damage zone rock at Lake Hughes and Littlerock localities

description: Geochemical and petrophysical data acquired on intact and damage zone rock samples for two localities along the San Andreas Fault, Mojave section.
Rock samples (33 samples at Lake Hughes locality, 27 at Littlerock locality) were analysed for porosity, grain- and bulk density, and chemical composition (XRF analysis). Mineral content was established from point counting on thin sections for 9 samples (Littlerock locality) and 13 samples (Lake Hughes locality). The results of these analyses are presented in this dataset.
In addition, the samples were grouped in three categories: intact, damaged, and pulverized. Statistical analysis was performed on the grouped data to identify statistically significant changes between the groups. The statistical analysis results are presented here as well.
Data used in the publication entitled "Chemically altered Pulverized granite along the Mojave section of the SAF shows evidence for large-scale heat transfer by post-seismic fluid flow and fluid overpressure at depth" by F.M Aben et al., in revision at the journal Geochemistry, Geophysics, Geosystems.
DOI: 10.5281/zenodo.8321126
title: Modification of polyurethane materials with fluorine and siloxane groups for use as biomedical materials in 3D printing - experimental data

description: Experimental data collected as part of the research project "Modification of polyurethane materials with fluorine and siloxane groups for use as biomedical materials in 3D printing" (grant no. 2022/06/X/ST4/00452) financed by the National Science Center (NCN) as part of the MINIATURA 6 program.
DOI: 10.5281/zenodo.8321125
title: Modification of polyurethane materials with fluorine and siloxane groups for use as biomedical materials in 3D printing - experimental data

description: Experimental data collected as part of the research project "Modification of polyurethane materials with fluorine and siloxane groups for use as biomedical materials in 3D printing" (grant no. 2022/06/X/ST4/00452) financed by the National Science Center (NCN) as part of the MINIATURA 6 program.
DOI: 10.6084/m9.figshare.24125454
title: Supplementary Material for: Proposal of the second cutoff of serum carcinoembryonic antigen levels to stratify patients into low, intermediate, and high risks at recurrences after curative resection of gastric cancer

description: Introduction: Carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) are widely used for various cancers, with the cut-off values of 5.0 ng/mL and 37.0 IU/mL, respectively. However, these cutoff values are not for specific diseases or purposes but are uniformly used for any disease and any purpose . It is also unclear as to whether patients are at equal risk of recurrence if they are below the cutoff values. This study aimed to investigate the optimal cutoff of serum tumor markers in the stratification of recurrence risk after curative resection of gastric cancer. Methods: We constructed a nine-center integrated database of patients recieved gastrectomy between January 2010 and December 2014 with a 5-year follow-up period. We determined the cutoff value of preoperative serum tumor marker levels correlated with postoperative recurrences and evaluated its performance in risk stratification for recurrences in 948 patients with pStage II/III gastric cancer who underwent radical resection. Results: The hazard ratio for postoperative recurrences increased at two points of preoperative CEA levels; 3.6 ng/mL and 5.0 ng/mL, which were set as cutoffs. These two cutoffs stratified relapse-free survival into three levels. Conclusions: By adding a second cutoff value for preoperative serum CEA, which was proposed specifically for the prediction of recurrences, patients can be stratified into low-, intermediate-, and high-risk recurrences after curative resection of gastric cancer.
DOI: 10.6084/m9.figshare.24125454.v1
title: Supplementary Material for: Proposal of the second cutoff of serum carcinoembryonic antigen levels to stratify patients into low, intermediate, and high risks at recurrences after curative resection of gastric cancer

description: Introduction: Carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) are widely used for various cancers, with the cut-off values of 5.0 ng/mL and 37.0 IU/mL, respectively. However, these cutoff values are not for specific diseases or purposes but are uniformly used for any disease and any purpose . It is also unclear as to whether patients are at equal risk of recurrence if they are below the cutoff values. This study aimed to investigate the optimal cutoff of serum tumor markers in the stratification of recurrence risk after curative resection of gastric cancer. Methods: We constructed a nine-center integrated database of patients recieved gastrectomy between January 2010 and December 2014 with a 5-year follow-up period. We determined the cutoff value of preoperative serum tumor marker levels correlated with postoperative recurrences and evaluated its performance in risk stratification for recurrences in 948 patients with pStage II/III gastric cancer who underwent radical resection. Results: The hazard ratio for postoperative recurrences increased at two points of preoperative CEA levels; 3.6 ng/mL and 5.0 ng/mL, which were set as cutoffs. These two cutoffs stratified relapse-free survival into three levels. Conclusions: By adding a second cutoff value for preoperative serum CEA, which was proposed specifically for the prediction of recurrences, patients can be stratified into low-, intermediate-, and high-risk recurrences after curative resection of gastric cancer.
DOI: 10.17031/64f9d59322b37
title: 2016 Coastwise and North Devon Area of Outstanding Natural Beauty (AONB) Croyde Bay Bioblitz

description: 12 hour public survey run by Coastwise North Devon and North Devon AONB and held on 17th September 2016 of all species in all habitats within the Croyde Bay area. The aim of the survey was to record as many species as possible throughout the day. Records include subtidal, intertidal, and coastal habitat species.  Part of a larger dataset that includes terrestrial and freshwater species.
DOI: 10.1594/wdcc/cmip5.mxelr8
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The rcp85 experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.5281/zenodo.1137715
title: Files With Rune Experiment Measurements And Wrf Modelling Results

description: This file contains all data used for the figures in the paper, including horizontal transects, vertical profiles and WRF model output for the different locations. Sample namelist for the 1st of January 2016 are supplied for all model runs that are discussed in the paper. For more details, see the corresponding paper "Evaluating mesoscale simulations of the coastal flow using lidar measurements".
description: Funding from the ForskEL program to the project 'RUNE' No. 12263 and The European Commission and the Energiteknologiske Udviklings- og Demonstrationsprogram (EUDP) funded 'New European Wind Atlas' project through FP7 are acknowledged. We would also like to acknowledge 3E for adding the 3E lidar to RUNE's network, Fraunhofer IWES for the measurements from the lidar buoy, and the technicians of DTU Wind Energy, Fraunhofer IWES and the Danish Hydrological Institute for their work and support during the campaign.
DOI: 10.17864/1947.121
title: A Mathematical Model of Melt Lake Formation on an Ice Shelf

description: The Matlab files contained here comprise a 1-D mathematical model of a surface melt lake on an idealised ice shelf. The model incorporates a calculation of the surface energy balance of an ice shelf, heat transfer through the upper ice shelf, the production and percolation of meltwater into the firn, the formation of ice lenses in the firn and the formation, development and refreezing of surface melt lakes on the ice shelf. This model was created using Matlab_R2015a.
DOI: 10.25345/c5v698n8f
title: MassIVE MSV000091707 - Metabolomics from three poultry breeds
title: Chickens are remarkably versatile animals that are used as model organisms for biomedical research. Here, we performed metabolomic analyses of the liver tissue and serum of poultry with different genetic backgrounds, providing detailed information for liver tissue and serum at the metabolite level. The metabolomic data obtained for poultry of different genetic backgrounds will be a valuable resource for further studies on this model organism.
DOI: 10.3886/e107833v2
title: Data and codebook for FLA article: Self-assessment: How reliable is it in assessing oral proficiency over time?

description: Abstract: Second language (L2) learners can assess their oral skills with some accuracy. A question is whether learners can reliably use self-assessment to track their language gains over time. During the spring of two subsequent years, 80 university L2-Chinese learners completed an oral-skills self-assessment based on the NCSSFL-ACTFL Can-do Statements (2015), and took an ACTFL OPIc. Results were compared to see how accurate the self-assessments were and to determine if the students’ self-assessment skills improved. Most students’ OPIc gains were reflected in their self-assessment gains; meanwhile, learners tended to under-assess rather than over-assess their skills. Students at the Novice and Advanced proficiency levels were more accurate self-assessors than were Intermediate-level learners. There was no difference in self-assessment-rating accuracy between Years 1 and 2. The findings suggest that self-assessment based on the NCSSFL-ACTFL Can-do Statements is valuable for low-stakes assessments, for example, to monitor students’ proficiency gains and to globally track the way in which language programs promote proficiency growth.
description: No weights.
description: Response Rates: The data subset includes 80 learners.
description: Presence of Common Scales: ACTFL OPIc scale of Novice Low to Superior, represented as numbers 1 through 10.
description: other~~web-based survey~~These data were collected as part of the National Security Education Program's Language Flagship Proficiency Initiative grant that was awarded to Principal Investigators Paula Winke and Susan Gass at Michigan State University, Award Number 0054-MSU-22-PI-280-PO2.
description: Chinese-language learners at Michigan State University in the undergraduate program who took the ACTFL OPIc tests at least twice with a one-year interval in between.Smallest Geographic Unit: Self-assessment scores; OPIc scores
description: Pseudo-random.