cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4972060
title: An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media

description: This data includes the training and testing dataset for DNN design and the observation data of synthetic example for validation.
DOI: 10.5281/zenodo.5622627
title: An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media

description: This data includes the training and testing dataset for DNN design and the observation data of synthetic example for validation. The code of TNNA-AUS inversion method.
DOI: 10.5281/zenodo.4972059
title: An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media

description: This data includes the training and testing dataset for DNN design and the observation data of synthetic example for validation. The code of TNNA-AUS inversion method.
DOI: 10.5281/zenodo.6680218
title: An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media

description: This data includes the training and testing dataset for DNN design and the observation data of synthetic example for validation. The code of TNNA-AUS inversion method.
DOI: 10.5281/zenodo.7326823
title: A. baumannii Centrifuge DB

description: It can be used for the identification of plasmid contigs in A. baumannii isolates.
DOI: 10.5281/zenodo.7326822
title: A. baumannii Centrifuge DB

description: It can be used for the identification of plasmid contigs in A. baumannii isolates.
DOI: 10.6084/m9.figshare.21563991
title: Metal additive manufacturing 3D microstructure dataset

description: We provide a dataset consisting of 3D microstructures computed with the open-source code Stochastic Parallel PARticle Kinetic Simulator (SPPARKS) available at https://spparks.github.io/. SPPARKS allows additive manufacturing simulations via a Potts-modified kinetic Monte Carlo (kMC) approach. Further information can be found from Rodgers et al. (https://doi.org/10.1016/j.commatsci.2017.03.053). The attached image "table.png" shows the parameter values for the selection of 960 parameter combinations. These parameters serve as input for the simulation. The folder "input" contains a CSV file with the used process parameters for each of the 960 simulations. The dataset consists of 960 files in (i) VTK format readable with compatible visualizers e.g. ParaView. (ii) files in MAT format represent extracted chord length distributions from each VTK file calculated with customized code in MATLAB. "dataset_NDoE_main_1_new.csv" represents the tabular dataset from 960 CLD calculations in X, Y and Z direction structured in rows per microstructure. <br> <br>
DOI: 10.5517/ccdc.csd.cc28vdl4
title: CCDC 2110746: Experimental Crystal Structure Determination

description: Related Article: P.J. Srijana, B. Narayana, B.K. Sarojini, Qin Ai Wong, Ching Kheng Quah, U. Likhitha|2023|J.Mol.Struct.|1274|134426|doi:10.1016/j.molstruc.2022.134426
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.cc2c8lkt
title: CCDC 2183006: Experimental Crystal Structure Determination

description: Related Article: Yunfei Yao, Bo Lin, Minze Wu, Yafang Zhang, Yangjie Huang, Xiaoyan Han, Zhiqiang Weng|2022|Org.Biomol.Chem.|20|8761|doi:10.1039/D2OB01749K
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.cc2ck3hk
title: CCDC 2191188: Experimental Crystal Structure Determination

description: Related Article: Han-Xu Sun, Jie Zhou, Zhen Zhang, Shu-yu Wang, Xue Chen, Li-Jia Zhao, Lin Du, Ming-Jin Xie, Qi-Hua Zhao|2022|Inorg.Chem.|61|18044|doi:10.1021/acs.inorgchem.2c02355
description: Related Article: Sun Hanxu|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: 10.5281/zenodo.7326521
title: TRANSFER-project

description: The dataset has to do with data from an experiment in which students from the Hotel School in The Hague explore an app that is part of a skills-matching approach. It enables lateral entry from the hospitality industry to logistics (and vice versa). The data consists of the pre- and post-measurement of a questionnaire, and the user data of the app. The project is financed by TKI Dinalog.
DOI: 10.5281/zenodo.7326522
title: TRANSFER-project

description: The dataset has to do with data from an experiment in which students from the Hotel School in The Hague explore an app that is part of a skills-matching approach. It enables lateral entry from the hospitality industry to logistics (and vice versa). The data consists of the pre- and post-measurement of a questionnaire, and the user data of the app. The project is financed by TKI Dinalog.
DOI: 10.21227/pe5x-x235
title: A Complex Human Activities Testbed For Cross-Domain WiFi Sensing Dataset

description: Prior researches have shown the potential that WiFi signals could be used for human activities recognition (HAR), or monitor a person's gait for human identification (HI).  Recently researchers pay more attention to the impact of environmental factors such as activity orientation, walking trajectory, WiFi device location, etc. on the HAR or HI tasks' performance. Existing experimental data set mostly record a limited amount of subjects and activities in a certain fixed moving orientation, which illy support the cross-domain or domain independent study on WiFi human sensing. To foster WiFi sensing to be applicable in realistic environment, we build a WiFi-based  complex human activities testbed for cross-domain study in WiFi sensing area. This is the open access data set of the testbed.
DOI: 10.11588/data/o9i5up/ieirbz
title: Compound 2a.zip

description: :unav
DOI: 10.11588/data/o9i5up/1iwrwi
title: Compound 2b.zip

description: :unav
DOI: 10.11588/data/o9i5up/6nze3k
title: Compound 2c.zip

description: :unav
DOI: 10.11588/data/o9i5up/nvej9r
title: Compound S6.zip

description: :unav
DOI: 10.11588/data/o9i5up/wkmrjc
title: Compound F-cage.zip

description: :unav
DOI: 10.11588/data/o9i5up/bftkkj
title: Compound H-cage.zip

description: :unav
DOI: 10.11588/data/o9i5up
title: Highly Selective Adsorption of Perfluorinated Greenhouse Gases by Porous Organic Cages [Data]

description: Anthropogenic greenhouse gases contribute to global warming. Among those gases, perfluorocarbons (PFCs) are thousands to tens of thousands times more harmful to the environment than comparable amounts of carbon dioxide. Till date, materials that selectively adsorb perfluorocarbons in favor to other less harmful gases have not been reported. Here a series of porous organic cage compounds with alkyl-, fluoroalkyl, and partially fluorinated alkyl groups are presented. Their isomorphic crystalline states allowed us to study the property-relationship of the degree of fluorination of the alkyl chains on gas sorption properties for PFCs and their selective uptakes in comparison to other, non-fluorinated gases. By this approach, one compound was identified, having superior selectivities of PFCs vs N2 or CO2 under ambient conditions.
DOI: 10.11588/data/o9i5up/rvfitt
title: Compound HF-cage.zip

description: :unav
DOI: 10.48665/udec/arkyhx/ibfuhl
title: Alex Latta-Cambio climatico y comunes.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/vxnq7n
title: Eduardo Letelier - Economia ambiental y economía ecológica del cambio climático.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/rt27y5
title: Julien Vanhulst - Clase GOBERNANZA global.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/qnzctl
title: Cid y Carrasco - Comunes y biocultura.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/yzd4ci
title: Francisco Ther Tema 1_Curso Verano_Fther.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/wasr9u
title: Francisco Ther Tema 3_Curso Verano_FTher.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/2v1jpr
title: Francisco Ther Tema 2_Curso Verano_Fther.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/2mylrg
title: Bernardo Broitman - Ecología, ciclos biológicos y productividad costera ante el cambio climático-1.pdf

description: :unav
DOI: 10.48665/udec/arkyhx/ga4zj3
title: Verónica Oliveros - Geofísica cambio climatico-1.pdf

description: :unav
DOI: 10.48665/udec/arkyhx
title: Laboratorios de codiseño para el cambio climático, gobernanza y cuidado de comunes en zonas costeras en el centro sur de Chile

description: El proceso de cambio climático es, en sí mismo, la gran “tragedia de los comunes globales”, por ello, las manifestaciones de este fenómeno han tenido profundas consecuencias sobre la calidad, reproducción y abordaje de estos en un nivel regional y local. Existe, así, una profunda relación entre la cuestión de los comunes, la pregunta por el cambio climático y el codiseño de alternativas. En ese sentido, esta propuesta sostiene que la gobernanza participativa en torno a comunes contribuye a abordar los efectos del cambio climático en el borde y secano costero del centro-sur de Chile, considerando, como hipótesis, que el espacio local es un lugar propicio para elaborar ejercicios de codiseño territorial que contengan alternativas que apoyen y mejoren la gestión de comunes, como estrategia de transformación para la resiliencia en procesos de cambio climático. Estas instancias deben incluir la participación de actores provenientes desde diversos ámbitos (del espacio local al institucional) y de distinto tipo (universidad, comunidades locales, instituciones públicas). Para un mejor abordaje de los procesos de cambio climático en zonas costeras, se propone una red interdisciplinaria de investigadores adscritos a tres universidades -Universidad de Concepción, Universidad Católica del Maule y Universidad de Los Lagos- en alianza con investigadores nacionales, internacionales y con instituciones y organizaciones locales. Se pretende desarrollar un ejercicio de investigación participativa, cuyo objetivo general es diseñar un modelo metodológico colaborativo de gobernanza y cuidado de comunes, basado en estrategias de codiseño
DOI: 10.5281/zenodo.7326462
title: Supporting Data for "Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes"

description: This dataset contains supporting files referenced by the following publication: • Rabanal FA, Gräff M, Lanz C, Fritschi K, Llaca V, Lang M, Carbonell-Bejerano P, Henderson I, Weigel D. <strong>Pushing the limits of HiFi assemblies reveals centromere diversity between two <em>Arabidopsis thaliana</em> genomes</strong>. <em>Nucleic Acids Research</em>. doi: 10.1093/nar/gkac1115 Directory structure: <strong>Bionano_optical_maps_based_assemblies</strong>: this directory contains results from the Bionano optical map based scaffolding for the main long-read assemblers analysed in the study for <em>Arabidopsis thaliana</em> accession Ey15-2 (9994): <strong>9994.CLR_Canu</strong> <strong>9994.HiFi_FALCON</strong> <strong>9994.HiFi_HiCanu</strong> <strong>9994.HiFi_Hifiasm</strong> <strong>9994.HiFi_IPA</strong> <strong>9994.HiFi_Peregrine</strong> <strong>Col-0_HiFi-Hifiasm_assembly</strong>: this directory contains the Pacbio HiFi based chromosome level assembly (fasta file) and repeat annotation (gff file) of <em>Arabidopsis thaliana</em> accession Col-0 (6909). <strong>Ey15-2_HiFi-Hifiasm_plus_CLR-Canu_assembly</strong>: this directory contains the Pacbio HiFi+CLR based chromosome level assembly (fasta file) and repeat annotation (gff file) of <em>Arabidopsis thaliana</em> accession Ey15-2 (9994). <strong>Naish2021_Wang2021_repeat_annotation</strong>: this directory contains the repeat annotation (gff files) for the <em>Arabidopsis thaliana</em> Col-0 (6909) assemblies performed by Naish <em>et al.</em> (doi: 10.1126/science.abi7489) and Wang <em>et al.</em> (doi: 10.1016/j.gpb.2021.08.003). <strong>TAIR10_masked</strong>: this directory contains the repeat-hard-masked version of the TAIR10 <em>Arabidopsis thaliana</em> Col-0 (6909) reference genome that was used for in silico scaffolding of contigs with RagTag (https://github.com/malonge/RagTag).
DOI: 10.5281/zenodo.7326461
title: Supporting Data for "Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes"

description: This dataset contains supporting files referenced by the following publication: • Rabanal FA, Gräff M, Lanz C, Fritschi K, Llaca V, Lang M, Carbonell-Bejerano P, Henderson I, Weigel D. <strong>Pushing the limits of HiFi assemblies reveals centromere diversity between two <em>Arabidopsis thaliana</em> genomes</strong>. <em>Nucleic Acids Research</em>. doi: 10.1093/nar/gkac1115 Directory structure: <strong>Bionano_optical_maps_based_assemblies</strong>: this directory contains results from the Bionano optical map based scaffolding for the main long-read assemblers analysed in the study for <em>Arabidopsis thaliana</em> accession Ey15-2 (9994): <strong>9994.CLR_Canu</strong> <strong>9994.HiFi_FALCON</strong> <strong>9994.HiFi_HiCanu</strong> <strong>9994.HiFi_Hifiasm</strong> <strong>9994.HiFi_IPA</strong> <strong>9994.HiFi_Peregrine</strong> <strong>Col-0_HiFi-Hifiasm_assembly</strong>: this directory contains the Pacbio HiFi based chromosome level assembly (fasta file) and repeat annotation (gff file) of <em>Arabidopsis thaliana</em> accession Col-0 (6909). <strong>Ey15-2_HiFi-Hifiasm_plus_CLR-Canu_assembly</strong>: this directory contains the Pacbio HiFi+CLR based chromosome level assembly (fasta file) and repeat annotation (gff file) of <em>Arabidopsis thaliana</em> accession Ey15-2 (9994). <strong>Naish2021_Wang2021_repeat_annotation</strong>: this directory contains the repeat annotation (gff files) for the <em>Arabidopsis thaliana</em> Col-0 (6909) assemblies performed by Naish <em>et al.</em> (doi: 10.1126/science.abi7489) and Wang <em>et al.</em> (doi: 10.1016/j.gpb.2021.08.003). <strong>TAIR10_masked</strong>: this directory contains the repeat-hard-masked version of the TAIR10 <em>Arabidopsis thaliana</em> Col-0 (6909) reference genome that was used for in silico scaffolding of contigs with RagTag (https://github.com/malonge/RagTag).
DOI: 10.6084/m9.figshare.21564888.v1
title: Supplementary Material for: Post Stroke Mirror Movements Preventing Performance of Bilateral Movements and Activities of Daily Living

description: Mirror movements (MMs) are involuntary synchronous movements of one limb during voluntary movements of the contralateral limb. Generally, MMs after stroke are observed in the unaffected hand during voluntary movements of the affected hand; MMs in the affected hand are comparatively rare. In previous studies, evaluation of MMs in the affected hand was performed using simple unilateral movement tasks, such as tapping or forceful repeated hand closure. However, the impact of MMs of the affected hand on functional tasks, such as activities of daily living (ADLs), has not been reported. We report the rare case of a patient with MMs of the affected hand due to atherothrombotic cerebral infarction of the right postcentral and precentral gyri. An 85-year-old Japanese man presented with left-sided hemiplegia and sensory impairment. MMs were observed in the left (affected) hand during many ADLs and could not be suppressed by the patient’s will even when the examiner verbally instructed the patient to move only the unaffected hand. The patient was aware that his hand moved on its own, but he could not control it. The patient was trained on various types of bilateral coordinated motor exercises for 114 days after the MMs were first identified. However, this did not affect MM occurrence, and the MMs remained at the time of discharge. Future research is necessary to plan long-term interventions for MMs of the affected hand.
DOI: 10.23728/b2share.8723a50e034c4100913495ac5b2aa966
title: Digital Appendix and Research Data for "A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing"

description: Dataset for the article: Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, Christian Janiesch : A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing. Accepted at: ACM SIGMIS Database: The DATA BASE for Advances in Information Systems 2023. Abstract: Fueled by increasing data availability and the rise of technological advances for data processing and communication, business analytics is a key driver for smart manufacturing. However, due to the multitude of different local advances as well as its multidisciplinary complexity, both researchers and practitioners struggle to keep track of the progress and acquire new knowledge within the field, as there is a lack of a holistic conceptualization. To address this issue, we performed an extensive structured literature review, yielding 904 relevant hits, to develop a quadripartite taxonomy as well as to derive archetypes of business analytics in smart manufacturing. The taxonomy comprises the following meta-characteristics: application domain, orientation as the objective of the analysis, data origins, and analysis techniques. Collectively, they comprise eight dimensions with a total of 52 distinct characteristics. Using a cluster analysis, we found six archetypes that represent a synthesis of existing knowledge on planning, maintenance (reactive, offline, and online predictive), monitoring, and quality management. A temporal analysis highlights the push beyond predictive approaches and confirms that deep learning already dominates novel applications. Our results constitute an entry point to the field but can also serve as a reference work and a guide with which to assess the adequacy of one's own instruments. *** Using this data for academic publications is granted explicitly. *** The dataset was created jointly by researchers working at the University of Würzburg and TU Dortmund University.
DOI: 10.6084/m9.figshare.21564780
title: CattleGTEx-Gene expression data

description: The TPM values and counts for 8742 samples and 27607 genes （ARS-UCD1.2)
DOI: 10.6084/m9.figshare.21563796
title: Dynamics of the investment risk rank and its components in the Kirov region for 2011 – 2020

description: <strong>Dynamics of the investment risk rank and its components in the Kirov region for 2011 – 2020</strong> <strong>Dynamics of management and investment risk indicators of the Kirov region for 2018 – 2020</strong>
DOI: 10.6084/m9.figshare.21563796.v2
title: Dynamics of the investment risk rank and its components in the Kirov region for 2011 – 2020

description: <strong>Dynamics of the investment risk rank and its components in the Kirov region for 2011 – 2020</strong> <strong>Dynamics of management and investment risk indicators of the Kirov region for 2018 – 2020</strong>
DOI: 10.6084/m9.figshare.21563796.v1
title: Dynamics of the investment risk rank and its components in the Kirov region for 2011 – 2020

description: <strong>Dynamics of the investment risk rank and its components in the Kirov region for 2011 – 2020</strong> <strong>Dynamics of management and investment risk indicators of the Kirov region for 2018 – 2020</strong>
DOI: 10.5281/zenodo.6415277
title: In-vitro Major Arterial Cardiovascular Simulator: Benchmark Data Set for in-silico Model Validation

description: <strong>Background</strong><br> <br> The data described here supplements the paper "In-vitro Major Arterial Cardiovascular Simulator to generate Benchmark Data Sets for in-silico Model Validation" (to be submitted). It was created at Technische Hochschule Mittelhessen (THM) in Germany and uploaded to Zenodo. Please cite the paper M. Wisotzki, A. Mair, P. Schlett, B. Lindner, M. Oberhardt, S. Bernhard, In Vitro Major Arterial Cardiovascular Simulator to Generate Benchmark Data Sets for In Silico Model Validation (2022), Data 7(11), DOI: 10.3390/data7110145 and the Zenodo doi when using this dataset. <strong>General description / Dataset Structure</strong> Each mat-File describes a different stenosis degree at the popliteal artery of the in-vitro simulator MACSim (details can be found in the paper). There are 17 pressure signals for different positions, one flow sensor close to the stenosis location and one monitor signal of the proportional valve use to control the input curve. Total duration of each signal is 60s with a sampling rate of 1000 Hz. Each mat-file contains a header structure with metadata and struct array for signals of each sensor. Signals in each mat-File are aligned with respect to a common time axis, but this is not guaranteed between different measurements/files. The file format can either be loaded directly in Matlab or in Python with scipy's loadmat function. The different stenosis degrees for each degree are:<br> ScenarioI: 100 % Area fraction (no stenosis)<br> ScenarioII: 37,5 % Area fraction<br> ScenarioIII: 23,4 % Area fraction<br> ScenarioIV: 6,56 % Area fraction <strong>Data fields for each file</strong> headerStruct field description rate sampling rate in Hz description name of the scenario according to the paper, corresponds to filename configuration parameters of the trapezoidal input curve (offset and amplitude in mmHg, ascend times and descend times and smoothing window in a fraction the time period (1.2s)) signalStruct field description nodeId corresponds to numbered nodes at which the sensor is placed, the corresponding location can be found in the paper (node numbering, not sensor numbers) or in the software SISCA (https://gitlab.com/agbernhard.lse.thm/sisca) in the example database. type 'p' ... pressure or 'q' ... flow data double array, time series of each sensor, unit mmHg for type 'p' and ml/s for type 'q' anatomicalPosition name of the corresponding anatomical position
description: Please cite the paper M. Wisotzki, A. Mair, P. Schlett, B. Lindner, M. Oberhardt, S. Bernhard, In Vitro Major Arterial Cardiovascular Simulator to Generate Benchmark Data Sets for In Silico Model Validation (2022), Data 7(11), DOI: 10.3390/data7110145 and the Zenodo doi when using this dataset.