cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/pmqc0p/eermpj
title: Data_Cart_Teil_4_Post_Interview.pdf

description: :unav
DOI: 10.25625/pmqc0p/e3oqmy
title: Data_Cart_Teil_3_Fragebogen.pdf

description: :unav
DOI: 10.25625/pmqc0p/2qh95w
title: docker_image_datacart.tar

description: The Data Cart prototype web application used for evaluation.
DOI: 10.25625/pmqc0p/6zlygs
title: README.md

description: :unav
DOI: 10.25625/pmqc0p
title: Data Cart Study Material for Study 4 Usability Study

description: The complete study material used for the usability study for the development of Data Cart.
DOI: 10.25430/researchdata.cab.unipd.it.00000682
title: Zingales V, Torriero N, Zanella L, Fernández-Franzón M, Ruiz MJ, Esposito MR, Cimetta E. Development of an in vitro neuroblastoma 3D model and its application for sterigmatocystin-induced cytotoxicity testing

description: This repository contains images and codes used to generate the results reported in the following publication; [1] Zingales V, Torriero N, Zanella L, Fernández-Franzón M, Ruiz MJ, Esposito MR, Cimetta E. Development of an in vitro neuroblastoma 3D model and its application for sterigmatocystin-induced cytotoxicity testing. Food Chem Toxicol. 2021 Nov;157:112605. doi: 10.1016/j.fct.2021.112605. Epub 2021 Oct 9. PMID: 34634377. DOI: 10.1016/j.fct.2021.112605. This folder contains: - The current README.txt file - Codes: MATLAB codes used for image processing - SphereoidsSegmentation.docx: brief description of some image-processing related results, reported in [1]. - FigurePaper.m: MATLAB code used to generate FigurePaper.png, FigurePaper.tif - FigurePaper.png, FigurePaper.tif - wetransfer-053b84; wetransfer-77e928; wetransfer-db8dea (but .zip and unzipped): folders containing spheroids images, following STE treatments. - 17 + spheroid images + comprehensive panel collecting sample images (files are in .jpg format). August 4, 2022.
DOI: 10.25625/vuzcet/dbaud7
title: Moderationsfolien_Studie_III.pdf

description: :unav
DOI: 10.25625/vuzcet
title: Data Cart Study Material for Study 3

description: Study material for Study 3 of the user-centered design study.
DOI: 10.5281/zenodo.6614262
title: Data for the publication "Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations"

description: This repository contains the data for the paper: Wieder, J., Ihn, N., Mignani, C., Haarig, M., Bühl, J., Seifert, P., Engelmann, R., Ramelli, F., Kanji, Z. A., Lohmann, U., and Henneberger, J.: Retrieving ice nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-67, in review, 2022. More information can be found in the README files. Note that the scripts to reproduce the figures of the publication are available on request.
DOI: 10.5281/zenodo.6614261
title: Data for the publication "Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations"

description: This repository contains the data for the paper: Wieder, J., Ihn, N., Mignani, C., Haarig, M., Bühl, J., Seifert, P., Engelmann, R., Ramelli, F., Kanji, Z. A., Lohmann, U., and Henneberger, J.: Retrieving ice nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-67, in review, 2022. More information can be found in the README files. Note that the scripts to reproduce the figures of the publication are available on request.
DOI: 10.5281/zenodo.6866074
title: Data for the bachelor thesis "Investigating Tuning Parameters in ECHAM-HAM with a Perturbed Parameter Ensemble"

description: This repository contains the data for the bachelor thesis:<br> <br> Author: Melina Abeling<br> Title: Investigating Tuning Parameters in ECHAM-HAM with a Perturbed Parameter Ensemble<br> Date: July 2022 <br> The scripts are to be found in the accompanying package (https://doi.org/10.5281/zenodo.6866140).
DOI: 10.5281/zenodo.6866073
title: Data for the bachelor thesis "Investigating Tuning Parameters in ECHAM-HAM with a Perturbed Parameter Ensemble"

description: This repository contains the data for the bachelor thesis:<br> <br> Author: Melina Abeling<br> Title: Investigating Tuning Parameters in ECHAM-HAM with a Perturbed Parameter Ensemble<br> Date: July 2022 <br> The scripts are to be found in the accompanying package (https://doi.org/10.5281/zenodo.6866140).
DOI: 10.5683/sp2/5mwqmg
title: Gendered speech in Vladimir Putin's annual public speeches, 2000-2020

description: The data are contained in an NVivo (.nvpx) file. Source documents analyzed are transcripts of five regular public speeches normally delivered annually by Russian President Vladimir Putin, covering the years 2000-2020. The five speeches analyzed are: the New Year's Eve speech, the International Women's Day speech, the address to the Federation Council, the "Direct Line" audience call-in event, and the annual "Big Press Conference. 80 speeches in total are included, and exclude speeches by intervening President Medvedev (2008-2012). Gender-relevant speech fragments were located by searching a list of 55 search terms (Russian language) and manually coding each instance for the type of gendered speech (if any) included. Analysis in the dataset consists of coding speech fragments into five gender ideology categories: "Anti-gender/ ultraconservative," "Traditionalist," "Stereotypical/ Soviet," "Neutral," and "Promoting gender equality." See the attached coding category reference document for definition of the coding categories.
DOI: 10.5517/ccdc.csd.ccv2l9s
title: CCDC 777055: Experimental Crystal Structure Determination

description: Related Article: Alexandra M. Z. Slawin|2016|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21gyxd
title: CCDC 1891214: Experimental Crystal Structure Determination

description: Related Article: Yu Qiang Zhao, Jie Zhou, Renze He, Guang Ke Wang, Lan Xi Miao, Xiao Guang Xie, Ying Zhou|2020|Tetrahedron Lett.|61|152668|doi:10.1016/j.tetlet.2020.152668
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc228hhc
title: CCDC 1914792: Experimental Crystal Structure Determination

description: Related Article: Nagarjuna Reddy Keesari, Somanath Mudavath, M. V. Krishna Rao, Balasubramanian Sridhar, B. V. Subba Reddy|2020|Synth.Commun.|50|973|doi:10.1080/00397911.2020.1725975
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24ffbc
title: CCDC 1979112: Experimental Crystal Structure Determination

description: Related Article: Amritha Rayaroth, Rajat Kumar Singh, A. V. Kalyanakrishnan, Krishna Hari, Alagiri Kaliyamoorthy|2020|Org.Biomol.Chem.|18|3354|doi:10.1039/D0OB00419G
description: Related Article: Alagiri Kaliyamoorthy|2020|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24flls
title: CCDC 1979275: Experimental Crystal Structure Determination

description: Related Article: Ian S. Taschner, Tia L. Walker, M. Sharath Chandra, Briana R. Schrage, Christopher J. Ziegler, Xinfeng Gao, Steven E. Wheeler|2020|Org.Chem.Front.|7|1164|doi:10.1039/D0QO00123F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24flmt
title: CCDC 1979276: Experimental Crystal Structure Determination

description: Related Article: Ian S. Taschner, Tia L. Walker, M. Sharath Chandra, Briana R. Schrage, Christopher J. Ziegler, Xinfeng Gao, Steven E. Wheeler|2020|Org.Chem.Front.|7|1164|doi:10.1039/D0QO00123F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24s7ck
title: CCDC 1989498: Experimental Crystal Structure Determination

description: Related Article: Ian S. Taschner, Tia L. Walker, M. Sharath Chandra, Briana R. Schrage, Christopher J. Ziegler, Xinfeng Gao, Steven E. Wheeler|2020|Org.Chem.Front.|7|1164|doi:10.1039/D0QO00123F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24xd3l
title: CCDC 1993489: Experimental Crystal Structure Determination

description: Related Article: Sowmiya Y. Carmel, N. L. Prasad, Noor Shahina Begum, Hari Prasad Suresh|2020|IUCrData|5|x200427|doi:10.1107/S2414314620004277
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25rghx
title: CCDC 2018549: Experimental Crystal Structure Determination

description: Related Article: Ilja Rodstein, Daniel Sowa Prendes, Leon Wickert, Maurice Paaßen, Viktoria H. Gessner|2020|J.Org.Chem.|85|14674|doi:10.1021/acs.joc.0c01771
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25rgl0
title: CCDC 2018552: Experimental Crystal Structure Determination

description: Related Article: Ilja Rodstein, Daniel Sowa Prendes, Leon Wickert, Maurice Paaßen, Viktoria H. Gessner|2020|J.Org.Chem.|85|14674|doi:10.1021/acs.joc.0c01771
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b59rl
title: CCDC 2150059: Experimental Crystal Structure Determination

description: Related Article: Gauri S. Malankar, Divyesh S. Shelar, M. Manikandan, Malay Patra, Ray J. Butcher, Sudesh T. Manjare|2022|Dalton Trans.|51|10069|doi:10.1039/D2DT01086K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20333316.v1
title: 16S rRNA Gene Alignments for Luteibacter

description: A .fasta file and a .aln file containing alignments used to compare classification across Luteibater species
DOI: 10.6084/m9.figshare.20237508
title: Sex Differences in Response Inhibition

description: Data from a go nogo experiment with neutral, positive, negative and sexual pictures as modulating background stimuli. The study was designed to examine sex differences. The present SPSS files contain demographic data, results from questionnaires, error rates, response times and pupil dilation.
DOI: 10.6084/m9.figshare.20237508.v1
title: Sex Differences in Response Inhibition

description: Data from a go nogo experiment with neutral, positive, negative and sexual pictures as modulating background stimuli. The study was designed to examine sex differences. The present SPSS files contain demographic data, results from questionnaires, error rates, response times and pupil dilation.
DOI: 10.5066/p94y3e81
title: Geospatial datasets for the geohydrology and water quality of the stratified-drift aquifers in West Branch Cayuga Inlet/Fish Kill aquifers in Newfield, Tompkins County, New York

description: In 2011, the U.S. Geological Survey, in cooperation with the Town of Newfield and the Tompkins County Planning Department, began a study of the stratified-drift aquifers in the West Branch Cayuga Inlet and Fish Kill valleys in the Town of Newfield, Tompkins County, New York. The objective of this study was to characterize the hydrogeology and water quality of the stratified-drift aquifers in the West Branch Cayuga Inlet and Fish Kill valleys and produce a summary report of the findings. The spatial extent and hydrogeologic framework of these unconsolidated aquifers were delineated using existing data, including soils maps, well records, geologic logs, topographic data, and published reports. These geospatial datasets support U.S. Geological Survey Scientific Investigations Report 2021-5064, &quot;Geohydrology and Water Quality of the Stratified-Drift Aquifers in West Branch Cayuga Inlet and Fish Kill Valleys, Newfield, Tompkins County, New York&quot;.
DOI: 10.15139/s3/nndntf
title: Vision Zero Safe Streets in Nashville: Action Plan 2022-2026. (2022) Nashville, Tennessee

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.5281/zenodo.6950474
title: Doodleverse/Segmentation Zoo Res-UNet models for identifying water in Sentinel-2 RGB images of coasts. SWED-only version

description: <strong>Doodleverse/Segmentation Zoo Res-UNet models for identifying water in Sentinel-2 RGB images of coasts.</strong> <strong>Based on SWED*** data</strong> https://openmldata.ukho.gov.uk/ These Residual-UNet model data are based on images of coasts and associated labels. Models have been fitted to the following types of data 1. RGB (3 band): red, green, blue Classes are: {0: null, 1: water}. These files are used in conjunction with Segmentation Zoo* For each model, there are 3 files with the same root name: 1. <strong>'.json' </strong>config file: this is the file that was used by Segmentation Gym** to create the weights file. It contains instructions for how to make the model and the data it used, as well as instructions for how to use the model for prediction. It is a handy wee thing and mastering it means mastering the entire Doodleverse. 2.<strong> '.h5'</strong> weights file: this is the file that was created by the Segmentation Gym** function `train_model.py`. It contains the trained model's parameter weights. It can called by the Segmentation Gym** function `seg_images_in_folder.py` or the Segmentation Zoo* function `select_model_and_batch_process_folder.py` to segment a folder of images 3.<strong> '_modelcard.json'</strong> model card file: this is a json file containing fields that collectively describe the model origins, training choices, and dataset that the model is based upon. There is some redundancy between this file and the `config` file (described above) that contains the instructions for the model training and implementation. The model card file is not used by the program but is important metadata so it is important to keep with the other files that collectively make the model and is such is considered part of the model 4. <strong>'_history.npz'</strong> files contain model training metrics One additional file, BEST_MODEL.txt, contains the name of the model with the highest validation accuracy References * https://github.com/Doodleverse/segmentation_zoo ** https://github.com/Doodleverse/segmentation_gym *** https://www.sciencedirect.com/science/article/abs/pii/S0034425722001584
DOI: 10.5281/zenodo.6950473
title: Doodleverse/Segmentation Zoo Res-UNet models for identifying water in Sentinel-2 RGB images of coasts. SWED-only version

description: <strong>Doodleverse/Segmentation Zoo Res-UNet models for identifying water in Sentinel-2 RGB images of coasts.</strong> <strong>Based on SWED*** data</strong> https://openmldata.ukho.gov.uk/ These Residual-UNet model data are based on images of coasts and associated labels. Models have been fitted to the following types of data 1. RGB (3 band): red, green, blue Classes are: {0: null, 1: water}. These files are used in conjunction with Segmentation Zoo* For each model, there are 3 files with the same root name: 1. <strong>'.json' </strong>config file: this is the file that was used by Segmentation Gym** to create the weights file. It contains instructions for how to make the model and the data it used, as well as instructions for how to use the model for prediction. It is a handy wee thing and mastering it means mastering the entire Doodleverse. 2.<strong> '.h5'</strong> weights file: this is the file that was created by the Segmentation Gym** function `train_model.py`. It contains the trained model's parameter weights. It can called by the Segmentation Gym** function `seg_images_in_folder.py` or the Segmentation Zoo* function `select_model_and_batch_process_folder.py` to segment a folder of images 3.<strong> '_modelcard.json'</strong> model card file: this is a json file containing fields that collectively describe the model origins, training choices, and dataset that the model is based upon. There is some redundancy between this file and the `config` file (described above) that contains the instructions for the model training and implementation. The model card file is not used by the program but is important metadata so it is important to keep with the other files that collectively make the model and is such is considered part of the model 4. <strong>'_history.npz'</strong> files contain model training metrics One additional file, BEST_MODEL.txt, contains the name of the model with the highest validation accuracy References * https://github.com/Doodleverse/segmentation_zoo ** https://github.com/Doodleverse/segmentation_gym *** https://www.sciencedirect.com/science/article/abs/pii/S0034425722001584
DOI: 10.5517/ccdc.csd.cc2b80yl
title: CCDC 2152669: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai, Kouki Oka, Ryunosuke Nishida, Norimitsu Tohnai|2022|CrystEngComm|24|4180|doi:10.1039/D2CE00336H
description: Related Article: Ryota Akai|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8s3j
title: CCDC 2153387: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai, Kouki Oka, Ryunosuke Nishida, Norimitsu Tohnai|2022|CrystEngComm|24|4180|doi:10.1039/D2CE00336H
description: Related Article: Ryota Akai|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8scs
title: CCDC 2153395: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai, Kouki Oka, Ryunosuke Nishida, Norimitsu Tohnai|2022|CrystEngComm|24|4180|doi:10.1039/D2CE00336H
description: Related Article: Ryota Akai|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8sdt
title: CCDC 2153396: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai, Kouki Oka, Ryunosuke Nishida, Norimitsu Tohnai|2022|CrystEngComm|24|4180|doi:10.1039/D2CE00336H
description: Related Article: Ryota Akai|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8vwc
title: CCDC 2153473: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai, Kouki Oka, Ryunosuke Nishida, Norimitsu Tohnai|2022|CrystEngComm|24|4180|doi:10.1039/D2CE00336H
description: Related Article: Ryota Akai|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8vxd
title: CCDC 2153474: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai, Kouki Oka, Ryunosuke Nishida, Norimitsu Tohnai|2022|CrystEngComm|24|4180|doi:10.1039/D2CE00336H
description: Related Article: Ryota Akai|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.