cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6384839
title: Analytical Center of University Cultural Productions in the Context of the Conflict (caPAZ)

description: This dataset comprises a collection of journalistic articles written by young university students in Colombia, which is a product of the project: Analytical Center of University Cultural Productions in the Context of the Conflict (caPAZ), funded by the Ministry of Science, Technology and Innovation (Minciencias) and the National Center for Historical Memory (CNM) of Colombia (under the code: 1349-872-76354, agreement 872 of 2020) This corpus includes news written by the 8 colleges media of the Colombian Network of College Journalism from 2001 to 2021. The dataset includes digital news, for a total of 2373 news items related to the armed conflict, the memory of the victims and the peace process in Colombia. These news items were collected through a web-scraping technique, using 3 lemmatized keywords (conflicto armado, memoria de las víctimas y proceso de paz), with the aim of identifying these regular expressions in the logical operators that run through the HTML structure of each Web page
DOI: 10.6084/m9.figshare.17143151.v1
title: Bio3E.xlsx

description: This Excel spreadsheet model Bio3E is published as supplementary information to the article Should Residual Biomass be used for Fuels, Power and Heat, or Materials? Assessing Costs and Environmental Impacts for China in 2035.<br>Step 1: Download the Bio3E.xlsx file. The file can be read using Excel.<br>Step 2: See the 'Index' sheet for an overview of sheets in the workbook and their function.<br>Step 3: Go to the 'Dashboard Current Scenario' sheet to select key parameters and see key plots for emissions and system costs<br>If you have any questions please contact Sara Shapiro-Bengtsensajos@dtu.dk
DOI: 10.5281/zenodo.4073384
title: Dataset for article " Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding"

description: This archive countains the dataset used to produce the paper "Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding" in press by Frontiers in Earth Science. (c) Estelle Ledoux, Université de Lille, France, 2020
DOI: 10.5281/zenodo.4073383
title: Dataset for article " Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding"

description: This archive countains the dataset used to produce the paper "Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding" in press by Frontiers in Earth Science. (c) Estelle Ledoux, Université de Lille, France, 2020
DOI: 10.5281/zenodo.6384747
title: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network

description: Trainingsdata for chest CT pericard effusion and the finish trained nnU-Net model.
DOI: 10.5281/zenodo.6382414
title: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network

description: Trainingsdata for chest CT pericard effusion and the finish trained nnU-Net model.
DOI: 10.6084/m9.figshare.19382921
title: Old data

description: References for studies included in oral presentations given at DUKPC 2022
DOI: 10.6084/m9.figshare.19382921.v2
title: Old data

description: References for studies included in oral presentations given at DUKPC 2022
DOI: 10.5517/ccdc.csd.cc23rjkz
title: CCDC 1959031: Experimental Crystal Structure Determination

description: Related Article: Hao Huang|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23zcvb
title: CCDC 1965612: Experimental Crystal Structure Determination

description: Related Article: W. Clegg|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc240yx1
title: CCDC 1967133: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yun Li, Yan Liu, Xiao-Lan Chen, Xin-Yuan Lu, Xing-Xing Liang, Shan-Shan Zhu, Chuan-Wan Wei, Ling-Bo Qu, Bing Yu|2020|Green Chemistry|22|4445|doi:10.1039/C9GC04445K
description: Related Article: Liu Yan|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc247r49
title: CCDC 1973650: Experimental Crystal Structure Determination

description: Related Article: Jian Yun Shi, Zhi Long Ma, Li Tian|2020|J.Mol.Struct.|1224|129012|doi:10.1016/j.molstruc.2020.129012
description: Related Article: Li Tian|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc249g42
title: CCDC 1975293: Experimental Crystal Structure Determination

description: Related Article: Wenqing Wang|2020|CSD Communication|||
DOI: 10.5281/zenodo.6384904
title: Conformation and structural features of diuron and irgarol: insights from quantum chemistry calculations.

description: A set of conformational relevant structures of Diuron and Irgarol (two biocides) obtained from conformational analyses carried out using Density Functional Theory (DFT). The geometries are given in the mol2 format.
DOI: 10.34740/kaggle/dsv/3358290
title: BBC News
DOI: 10.34740/kaggle/dsv/3358294
title: BBC News
DOI: 10.5281/zenodo.6384989
title: Conformation and structural features of diuron and irgarol: insights from quantum chemistry calculations.

description: A set of conformational relevant structures of Diuron and Irgarol (two biocides) obtained from conformational analyses carried out using Density Functional Theory (DFT). The geometries are given in the mol2 format.
DOI: 10.13020/ez62-cs46
title: Measurement and Scaling of Lake Surface Skin Temperatures
DOI: 10.34740/kaggle/dsv/3358303
title: Russian Invasion of Ukraine
DOI: 10.34740/kaggle/dsv/3358325
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.4311473
title: Ilastik_organoid_segmentation

description: This repository holds two Ilastik projects and respective training data used for the organoid segmentation of the initial organoid screen in the publication "A semi-automated intestinal organoid screening method demonstrates epigenetic control of epithelial differentiation" (Ostrop et al. 2020). The image pre-processing was carried out with the ImageJ script available on GitHub: https://github.com/jennyostrop/Fiji_organoid_brightfield_processing, archived on Zenodo as https://doi.org/10.5281/zenodo.3951125 For training, 1 well treated with DMSO vehicle control of 4 biological replicates and 5 timepoints were used (total 20 images). Training data was excluded from further analysis. The raw images were deposited to the Image Data Resource (https://idr.openmicroscopy.org) under accession number idr0092.<br> Training data corresponds to Well A01 in plate 1-plate 4. <strong>Project 1: Ilastik1_PixelClass_Edges</strong> Pixel classification, created with Ilastik 1.3.2 Input Raw Data: Summary projection of Sobel edge detection for each z-layer (Output 2d from ImageJ script) Training classes:<br> Background: lines over background and debris (size 7) and inside of organoids (size 3)<br> Object: exact lines following the outer border of organoids (size 1) <strong>Project 2: Ilastik2_ObjectClass_Projection</strong> Object classification [Inputs: Raw Data, Pixel Prediction Map], created with Ilastik 1.3.2 Input Raw Data: Minimum intensity projections of each Zstack (Output 1b from ImageJ script)<br> Input Prediction Maps: Pixel Prediction Maps generated in project Ilastik1_PixelClass_Edges Threshold and Size Filter: Method - Simple, Input - 0 (Background), Smooth – 1.0, 1.0, Threshold - 0.55, Size Filter – Min 10, Max 1000000<br> <br> Object classes:<br> Mislabelled: Patch of background enclosed by objects, light<br> Organoid: Typical organoid, medium dark<br> Sphere_big: Sphere, almost round, light, size of organoids or bigger<br> Sphere_small: Sphere, almost round, light to medium dark, small<br> Cluster: Cluster of several organoids/spheres and organoids segmented as single object<br> Debris: Debris in Matrigel, irregular borders and structure, mostly small, medium dark<br> AirBubble: Air bubbles in Matrigel at early timepoints, round, dark with light centre<br> Edges: Edges of well plate (empty class, included for consistency)
DOI: 10.5281/zenodo.4311472
title: Ilastik_organoid_segmentation

description: This repository holds two Ilastik projects and respective training data used for the organoid segmentation of the initial organoid screen in the publication "A semi-automated intestinal organoid screening method demonstrates epigenetic control of epithelial differentiation" (Ostrop et al. 2020). The image pre-processing was carried out with the ImageJ script available on GitHub: https://github.com/jennyostrop/Fiji_organoid_brightfield_processing, archived on Zenodo as https://doi.org/10.5281/zenodo.3951125 For training, 1 well treated with DMSO vehicle control of 4 biological replicates and 5 timepoints were used (total 20 images). Training data was excluded from further analysis. The raw images were deposited to the Image Data Resource (https://idr.openmicroscopy.org) under accession number idr0092.<br> Training data corresponds to Well A01 in plate 1-plate 4. <strong>Project 1: Ilastik1_PixelClass_Edges</strong> Pixel classification, created with Ilastik 1.3.2 Input Raw Data: Summary projection of Sobel edge detection for each z-layer (Output 2d from ImageJ script) Training classes:<br> Background: lines over background and debris (size 7) and inside of organoids (size 3)<br> Object: exact lines following the outer border of organoids (size 1) <strong>Project 2: Ilastik2_ObjectClass_Projection</strong> Object classification [Inputs: Raw Data, Pixel Prediction Map], created with Ilastik 1.3.2 Input Raw Data: Minimum intensity projections of each Zstack (Output 1b from ImageJ script)<br> Input Prediction Maps: Pixel Prediction Maps generated in project Ilastik1_PixelClass_Edges Threshold and Size Filter: Method - Simple, Input - 0 (Background), Smooth – 1.0, 1.0, Threshold - 0.55, Size Filter – Min 10, Max 1000000<br> <br> Object classes:<br> Mislabelled: Patch of background enclosed by objects, light<br> Organoid: Typical organoid, medium dark<br> Sphere_big: Sphere, almost round, light, size of organoids or bigger<br> Sphere_small: Sphere, almost round, light to medium dark, small<br> Cluster: Cluster of several organoids/spheres and organoids segmented as single object<br> Debris: Debris in Matrigel, irregular borders and structure, mostly small, medium dark<br> AirBubble: Air bubbles in Matrigel at early timepoints, round, dark with light centre<br> Edges: Edges of well plate (empty class, included for consistency)
DOI: 10.3886/e151103
title: Data and Code for: "Dynamic Price Competition, Learning-By-Doing and Strategic Buyers"

description: These files contain the source code for journal article "Dynamic Price Competition, Learning-By-Doing and Strategic Buyers". Abstract of article: We examine how strategic buyer behavior affects equilibrium outcomes in a model of dynamic price competition where sellers benefit from learning-by-doing by allowing each buyer to expect to capture a share of future buyer surplus. Many equilibria that exist when buyers consider only their immediate payoffs are eliminated when buyers expect to capture even a modest share of future surplus, and the equilibria that survive are those where long-run market competition is more likely to be preserved. Our results are relevant for antitrust policy and our approach may be useful for future analyses of dynamic competition. <br><br><br>
DOI: 10.6084/m9.figshare.16909126.v1
title: Artificial Intelligence Predicates Tipping Points of Marine Phytoplankton Responses to Multiple Climate Stressors

description: Data for phytoplankton resistance model training and testing.
DOI: 10.5281/zenodo.5877351
title: Replication Package for 'Anchoring Code Understandability Evaluations Through Task Descriptions'

description: Replication package for: "Anchoring Code Understandability Evaluations Through Task Descriptions", to be presented at ICPC '22: IEEE/ACM International Conference on Program Comprehension, May 21--22, 2022, Pittsburgh, Pennsylvania, United States The <em>data</em> folder contains dataset and Rmarkdown analysis script. We recommend loading the script with RStudio. For your convenience, we include a self-contained HTML outputted file. The <em>code snippets</em> folder contains the experimental code snippets and a representation with syntax highlighting in HTML. We have implemented the code in this way in LimeSurvey and think that for replication purposes it may be useful to include the markup in this replication package (see `LimeSurvey` subdirectory).
DOI: 10.5281/zenodo.5877313
title: Replication Package for 'Anchoring Code Understandability Evaluations Through Task Descriptions'

description: Replication package for: "Anchoring Code Understandability Evaluations Through Task Descriptions", to be presented at ICPC '22: IEEE/ACM International Conference on Program Comprehension, May 21--22, 2022, Pittsburgh, Pennsylvania, United States The <em>data</em> folder contains dataset and Rmarkdown analysis script. We recommend loading the script with RStudio. For your convenience, we include a self-contained HTML outputted file. The <em>code snippets</em> folder contains the experimental code snippets and a representation with syntax highlighting in HTML. We have implemented the code in this way in LimeSurvey and think that for replication purposes it may be useful to include the markup in this replication package (see `LimeSurvey` subdirectory).
DOI: 10.48366/r175108
title: Comparison of video streaming solutions for mobile cloud gaming

description: Compare multiple video streaming methods for reliable and low latency video streaming in mobile cloud gaming.
DOI: 10.3886/e149182v1
title: Data and Code for: Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S.

description: This replication package contains the code to clean the raw data (“cleaning code”) and to create all tables and figures included in the paper and in the online appendix (“analysis code”). The replication package also contains publicly available raw data. Due to license restrictions on the Catalist data, which are used for all analyses, the Catalist data are not included in this replication package.<br><br>Researchers interested in replicating the results can do so on an ad-hoc reproducibility environment hosted by Catalist, which will be operational by January 1, 2022. Access to the reproducibility environment can be used exclusively to reproduce the results in the paper and in the online appendix and not to otherwise explore, browse, manipulate, analyze the raw or clean data in any way other than by running the scripts in this replication package. Per-user access to the Catalist reproducibility environment costs $1,500.<br><br>Researchers interested in replicating the results using the Catalist reproducibility environment should contact Vincent Pons (vpons@hbs.edu).<br>
DOI: 10.5281/zenodo.6385017
title: Relative binding free energy between chemically distant compounds using a bidirectional non-equilibrium approach

description: Data from "Relative binding free energy between chemically distant compounds using a bidirectional nonequilibrium approach" Submitted to J Chem Theory Comput, February 2022. This archive contains the following directories: <br> traj -&gt; This directory contains trajectory files for SAMPL9: g??_w.pdb.gz file contains ~ 160 snapshots from the 48 ns HREM sampling<br> of the target bound state of G1-G13 including water solvent. g??_1.pdb.gz file contains ~ 3500 snapshots (no solvent included) of the<br> target bound state of G1-G13 <br> work -&gt; This trajectory contains the work data (in kJ/mol) obtained in<br> the NE trajectories for SAMPL9: gxx-gyy_b_TIME.wrk is the work sample obtained for the xx-&gt;yy transmutation<br> in the bound state with a duration time of TIME. gxx-gyy_u_TIME.wrk is the work sample obtained for the xx-&gt;yy transmutation<br> in the unbound state with a duration time of TIME. pdb -&gt; This directory contains the pdb initial structures of the G1-G18 guests and the WP6 host ff -&gt; This directory contains the force field specification for SAMPL9: the PrimaDORAC generated (http://www1.chim.unifi.it/orac/primadorac/)<br> tpg and prm files for the guests and the host in orac format. (see<br> http://ftp.chim.unifi.it/orac/MAN/orac-manual.html) bin -&gt; This directory contains the script files to compute all bidirectional and unidirectional RBFE estimates as reported in Table 2 of the paper.<br> In order to compute an RBFE using the work data in the work dir, do the following:<br> 1) cd into the bin directory<br> 2) issue the command<br> source source_this_file.bash<br> (N.B.: gfortran must be installed)<br> 3) cd ../<br> 4) from the main dir, issue the command:<br> RBFE.bash -b 720 -u 360 B A<br> where B and A are the ghost and physical compound, respectively<br> Results for DG(A-&gt;B) are printed to the standard output Example: <br> RBFE.bash -b 720 -u 360 g01 g03 &gt; g03g01<br> In the g03g01 file, estimates and properties of the work data are<br> printed in the format<br> "g05-&gt;g02 DG_bar= -5.13 0.37 DG_ff_G= -4.2 0.8 DG_ff_J= -3.0 0.4 sig_AB_u= 0.90 sig_AB_b= 2.16 ADT_AB_u= 0.26 ADT_AB_b= 0.23 DG_rr_G= 130.5 33.5 DG_rr_J= -7.2 0.8 sig_BA_u= 1.10 sig_BA_b= 13.61 ADT_BA_u= 0.48 ADT_BA_b= 3.40 DG_fr_G= -4.27 1.04 DG_fr_J= -3.23 0.58 bias_fr= 0.2 DG_rf_G= 127.88 30.30 DG_rf_J= -7.16 0.66 bias_rf= 0.0 DG_BAR= -5.26 0.0 tb= 720 tu= 360" To compute all DDG estimates of Table 2 launch the script<br> "do_all.bash" from the main dir shift-pot -&gt; This directory contains two gnuplot scripts showing the evolution of the<br> Beutler LJ and elec soft-core potentials (soft.gplt) and of the shifted LJ and<br> elec soft-core potentials used in this work (shift.gplt)<br>
DOI: 10.5281/zenodo.6127393
title: Relative binding free energy between chemically distant compounds using a bidirectional non-equilibrium approach

description: Data from "Relative binding free energy between chemically distant compounds using a bidirectional nonequilibrium approach" Submitted to J Chem Theory Comput, February 2022. This archive contains the following directories: <br> traj -&gt; This directory contains trajectory files for SAMPL9: g??_w.pdb.gz file contains ~ 160 snapshots from the 48 ns HREM sampling<br> of the target bound state of G1-G13 including water solvent. g??_1.pdb.gz file contains ~ 3500 snapshots (no solvent included) of the<br> target bound state of G1-G13 <br> work -&gt; This trajectory contains the work data (in kJ/mol) obtained in<br> the NE trajectories for SAMPL9: gxx-gyy_b_TIME.wrk is the work sample obtained for the xx-&gt;yy transmutation<br> in the bound state with a duration time of TIME. gxx-gyy_u_TIME.wrk is the work sample obtained for the xx-&gt;yy transmutation<br> in the unbound state with a duration time of TIME. pdb -&gt; This directory contains the pdb initial structures of the G1-G18 guests and the WP6 host ff -&gt; This directory contains the force field specification for SAMPL9: the PrimaDORAC generated (http://www1.chim.unifi.it/orac/primadorac/)<br> tpg and prm files for the guests and the host in orac format. (see<br> http://ftp.chim.unifi.it/orac/MAN/orac-manual.html) bin -&gt; This directory contains the script files to compute all bidirectional and unidirectional RBFE estimates as reported in Table 2 of the paper.<br> In order to compute an RBFE using the work data in the work dir, do the following:<br> 1) cd into the bin directory<br> 2) issue the command<br> source source_this_file.bash<br> (N.B.: gfortran must be installed)<br> 3) cd ../<br> 4) from the main dir, issue the command:<br> RBFE.bash -b 720 -u 360 B A<br> where B and A are the ghost and physical compound, respectively<br> Results for DG(A-&gt;B) are printed to the standard output Example: <br> RBFE.bash -b 720 -u 360 g01 g03 &gt; g03g01<br> In the g03g01 file, estimates and properties of the work data are<br> printed in the format<br> "g05-&gt;g02 DG_bar= -5.13 0.37 DG_ff_G= -4.2 0.8 DG_ff_J= -3.0 0.4 sig_AB_u= 0.90 sig_AB_b= 2.16 ADT_AB_u= 0.26 ADT_AB_b= 0.23 DG_rr_G= 130.5 33.5 DG_rr_J= -7.2 0.8 sig_BA_u= 1.10 sig_BA_b= 13.61 ADT_BA_u= 0.48 ADT_BA_b= 3.40 DG_fr_G= -4.27 1.04 DG_fr_J= -3.23 0.58 bias_fr= 0.2 DG_rf_G= 127.88 30.30 DG_rf_J= -7.16 0.66 bias_rf= 0.0 DG_BAR= -5.26 0.0 tb= 720 tu= 360" To compute all DDG estimates of Table 2 launch the script<br> "do_all.bash" from the main dir shift-pot -&gt; This directory contains two gnuplot scripts showing the evolution of the<br> Beutler LJ and elec soft-core potentials (soft.gplt) and of the shifted LJ and<br> elec soft-core potentials used in this work (shift.gplt)<br>
DOI: 10.3886/e153221
title: Data and Code for: Wetlands, Flooding, and the Clean Water Act

description: In 2020 the EPA narrowed the definition of ‘Waters of the United States', significantly limiting wetland protection under the Clean Water Act. Current policy debates center on the uncertainty around wetland benefits. We estimate the value of wetlands for flood mitigation across the US using detailed flood claims and land use data. We find the average hectare of wetland lost between 2001 and 2016 cost society $1,840 annually, and over $8,000 in developed areas. We document significant spatial heterogeneity in wetland benefits, with implications for flood insurance policy and the 50% of ‘isolated’ wetlands at risk of losing federal protection.
DOI: 10.3886/e153221v1
title: Data and Code for: Wetlands, Flooding, and the Clean Water Act

description: In 2020 the EPA narrowed the definition of ‘Waters of the United States', significantly limiting wetland protection under the Clean Water Act. Current policy debates center on the uncertainty around wetland benefits. We estimate the value of wetlands for flood mitigation across the US using detailed flood claims and land use data. We find the average hectare of wetland lost between 2001 and 2016 cost society $1,840 annually, and over $8,000 in developed areas. We document significant spatial heterogeneity in wetland benefits, with implications for flood insurance policy and the 50% of ‘isolated’ wetlands at risk of losing federal protection.
DOI: 10.25418/crick.19383710
title: Input Image Set

description: This is the input dataset for the chromosome arm length and width determination project.
DOI: 10.25418/crick.19383710.v1
title: Input Image Set

description: This is the input dataset for the chromosome arm length and width determination project.
DOI: 10.25418/crick.19383713
title: Results

description: Results of image analysis pipeline
DOI: 10.25418/crick.19383713.v1
title: Results

description: Results of image analysis pipeline
DOI: 10.6084/m9.figshare.19146611.v1
title: Long-term ice phenology records for 78 lakes in the Northern Hemisphere

description: Lake ice is an important resource supporting water quality, local biodiversity, arctic transportation, and regional economies. Long-term surveys of lake ice collected in situ are the gold standard for monitoring in environmental science., Here, we present ice phenology records for 78 lakes in the Northern Hemisphere spanning up to 578 years. These surveys include 12 different countries across North America and Eurasia collected by researchers, community scientists, priests, and digital observations. This database includes information about ice phenology (ice-on dates, ice-off dates, ice cover duration), lake characteristics (e.g., size, location, names), and meta-data about each data source (e.g., how the data was collected). Our intention is that this database may be used to understand factors driving lake ice patterns and the biological or socio-economic consequences.
DOI: 10.5281/zenodo.6382919
title: FEL Data

description: FEL Data, first draft figures, and structures.
DOI: 10.5281/zenodo.6382918
title: FEL Data

description: FEL Data, first draft figures, and structures.
DOI: 10.34740/kaggle/dsv/3358459
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.6384426
title: Geranoaetus albicaudatus SPAdes preassembly

description: .