cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7378387
title: Residual dynamics resolves recurrent contributions to neural computation

description: This repository contains all the neural and simulated datasets used in the above publication. All the data are stored as .mat files. This repository is organized into three main folders. For ease of use, we recommend extracting the contents of each of the three folders into a single folder titled ‘data’. neuraldata –Raw and preprocessed neural data. Organized into the following folders: array_TDR_dotsTask_data – contains the non-processed neural data of each session for both monkeys array_dotsTask_beh_xx – contains the behavioral data of each session for both monkeys (xx = monkey) array_reppasdotsTask_datasegmented_binsize=xxms – contains the pre-processed neural data (session wise) of both monkeys for a specified bin size (xx = bin size)<br> simulations – Data from the simulated models. Organized into the following folders: toymodels – Simulated data from all models of decisions/movement. Also includes simulations of the augmented line attractor and rotational dynamics models. twoarearnn – Simulated data from the two types of (feedback and nofeedback) two-area RNN models, along with the impulse response simulations.<br> analyses – contains processed data files from various stages of the analysis pipeline. Only the most important files are listed below: xx_aligned_reppasdotsTask_binsize=45ms.mat – session-aligned neural data for a specified monkey (xx = monkey) xx_ndim=8_lag=3_alpha=200_50_allconfigsresdynresults.mat – contains the residual dynamics for a specified monkey. xx_aligned_hankelagdimCV_reppasdotsTask_binsize=45ms.mat and xx_aligned_smoothnessCV_reppasdotsTask_binsize=45ms.mat – results of cross-validation of the residual dynamics pipeline for a specified monkey (xx = monkey)
DOI: 10.5281/zenodo.7378386
title: Residual dynamics resolves recurrent contributions to neural computation

description: This repository contains all the neural and simulated datasets used in the above publication. All the data are stored as .mat files. This repository is organized into three main folders. For ease of use, we recommend extracting the contents of each of the three folders into a single folder titled ‘data’. neuraldata –Raw and preprocessed neural data. Organized into the following folders: array_TDR_dotsTask_data – contains the non-processed neural data of each session for both monkeys array_dotsTask_beh_xx – contains the behavioral data of each session for both monkeys (xx = monkey) array_reppasdotsTask_datasegmented_binsize=xxms – contains the pre-processed neural data (session wise) of both monkeys for a specified bin size (xx = bin size)<br> simulations – Data from the simulated models. Organized into the following folders: toymodels – Simulated data from all models of decisions/movement. Also includes simulations of the augmented line attractor and rotational dynamics models. twoarearnn – Simulated data from the two types of (feedback and nofeedback) two-area RNN models, along with the impulse response simulations.<br> analyses – contains processed data files from various stages of the analysis pipeline. Only the most important files are listed below: xx_aligned_reppasdotsTask_binsize=45ms.mat – session-aligned neural data for a specified monkey (xx = monkey) xx_ndim=8_lag=3_alpha=200_50_allconfigsresdynresults.mat – contains the residual dynamics for a specified monkey. xx_aligned_hankelagdimCV_reppasdotsTask_binsize=45ms.mat and xx_aligned_smoothnessCV_reppasdotsTask_binsize=45ms.mat – results of cross-validation of the residual dynamics pipeline for a specified monkey (xx = monkey)
DOI: 10.34740/kaggle/dsv/4807352
title: Smart Energy Meters in Bangalore India
DOI: 10.6084/m9.figshare.19766683.v1
title: Individual differences in foreign language attrition: a 6-month longitudinal investigation after a study abroad

description: While recent laboratory studies suggest that the use of competing languages is a driving force in foreign language (FL) attrition (i.e. forgetting), research on “real” attriters has failed to demonstrate such a relationship. We addressed this issue in a large-scale longitudinal study, following German students throughout a study abroad in Spain and their first six months back in Germany. Monthly, percentage-based frequency of use measures enabled a fine-grained description of language use. L3 Spanish forgetting rates were indeed predicted by the quantity and quality of Spanish use, and correlated negatively with L1 German and positively with L2 English letter fluency. Attrition rates were furthermore influenced by prior Spanish proficiency, but not by motivation to maintain Spanish or non-verbal long-term memory capacity. Overall, this study highlights the importance of language use for FL retention and sheds light on the complex interplay between language use and other determinants of attrition.
DOI: 10.6084/m9.figshare.19766683
title: Individual differences in foreign language attrition: a 6-month longitudinal investigation after a study abroad

description: While recent laboratory studies suggest that the use of competing languages is a driving force in foreign language (FL) attrition (i.e. forgetting), research on “real” attriters has failed to demonstrate such a relationship. We addressed this issue in a large-scale longitudinal study, following German students throughout a study abroad in Spain and their first six months back in Germany. Monthly, percentage-based frequency of use measures enabled a fine-grained description of language use. L3 Spanish forgetting rates were indeed predicted by the quantity and quality of Spanish use, and correlated negatively with L1 German and positively with L2 English letter fluency. Attrition rates were furthermore influenced by prior Spanish proficiency, but not by motivation to maintain Spanish or non-verbal long-term memory capacity. Overall, this study highlights the importance of language use for FL retention and sheds light on the complex interplay between language use and other determinants of attrition.
DOI: 10.6084/m9.figshare.21836556
title: Industrial agglomeration and coupling coordination between China’s sports industry and regional economy

description: Official government data
DOI: 10.6084/m9.figshare.21836556.v1
title: Industrial agglomeration and coupling coordination between China’s sports industry and regional economy

description: Official government data
DOI: 10.5281/zenodo.7513765
title: PM2.5, PM10, NO2, O3 from Copernicus Air Quality Forecast March-June 2019, 2020 and 2021

description: PM2.5, PM10, NO2, O3 Copernicus Air Quality Forecasts March-June 2019, 2020 and 2021 retrieved from the ADAM platform data cube (http://reliance.adamplatform.eu). Datasets are monthly averaged. The resulting extracted datasets are stored in netCDF format and cover Europe.
description: The RELIANCE (Research lifecycle management for Earth Science Communities and Copernicus users in EOSC) project has received funding from the European Union's Horizon 2020 INFRAEOSC programme under grant agreement No 101017501.
DOI: 10.5281/zenodo.7513764
title: PM2.5, PM10, NO2, O3 from Copernicus Air Quality Forecast March-June 2019, 2020 and 2021

description: PM2.5, PM10, NO2, O3 Copernicus Air Quality Forecasts March-June 2019, 2020 and 2021 retrieved from the ADAM platform data cube (http://reliance.adamplatform.eu). Datasets are monthly averaged. The resulting extracted datasets are stored in netCDF format and cover Europe.
description: The RELIANCE (Research lifecycle management for Earth Science Communities and Copernicus users in EOSC) project has received funding from the European Union's Horizon 2020 INFRAEOSC programme under grant agreement No 101017501.
DOI: 10.5281/zenodo.7192683
title: Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm

description: This is the artifact for paper "Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm" The latest code can be found in https://github.com/songyahui/Timed_Verification Our benchmark contains three folders: - Validation: We manually annotate TimEffs specifications for a set of synthetic examples (for about 54 programs), to test the main contributions, including: computing effects from symbolic timed programs written in C^t ; and the inclusion checking for TimEffs with the parallel composition, block waiting operator and shared global variables. - Experiment1: For 16 C^t programs, and the annotated temporal specifications are in a 1:1 ratio for succeeded/failed cases. We record the evaluation results in Table 3 in the paper. - Experiment12: comparison with the PAT [16] model checker using real-life Fischer’s mutual exclusion algorithm.
DOI: 10.5281/zenodo.7192684
title: Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm

description: This is the artifact for paper "Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm" Our benchmark contains three folders: - Validation: We manually annotate TimEffs specifications for a set of synthetic examples (for about 54 programs), to test the main contributions, including: computing effects from symbolic timed programs written in C t ; and the inclusion checking for TimEffs with the parallel composition, blok waiting operator and shared global variables. - Experiment1: For 16 C^t programs8, and the annotated temporal specifications are in a 1:1 ratio for succeeded/failed cases. We record the evaluation results in Table 3 in the paper - Experiment12: comparison with the PAT [16] model checker using real-life Fischer’s mutual exclusion algorithm. <br>
DOI: 10.5281/zenodo.7192707
title: Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm

description: This is the artifact for paper "Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm" Our benchmark contains three folders: - Validation: We manually annotate TimEffs specifications for a set of synthetic examples (for about 54 programs), to test the main contributions, including: computing effects from symbolic timed programs written in C t ; and the inclusion checking for TimEffs with the parallel composition, block waiting operator and shared global variables. - Experiment1: For 16 C^t programs8, and the annotated temporal specifications are in a 1:1 ratio for succeeded/failed cases. We record the evaluation results in Table 3 in the paper. - Experiment12: comparison with the PAT [16] model checker using real-life Fischer’s mutual exclusion algorithm.
DOI: 10.5281/zenodo.7192718
title: Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm

description: This is the artifact for paper "Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm" The latest code can be found in https://github.com/songyahui/Timed_Verification Our benchmark contains three folders: - Validation: We manually annotate TimEffs specifications for a set of synthetic examples (for about 54 programs), to test the main contributions, including: computing effects from symbolic timed programs written in C^t ; and the inclusion checking for TimEffs with the parallel composition, block waiting operator and shared global variables. - Experiment1: For 16 C^t programs, and the annotated temporal specifications are in a 1:1 ratio for succeeded/failed cases. We record the evaluation results in Table 3 in the paper. - Experiment12: comparison with the PAT [16] model checker using real-life Fischer’s mutual exclusion algorithm.
DOI: 10.5517/ccdc.csd.cc2c9k3c
title: CCDC 2183922: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9k4d
title: CCDC 2183923: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9k5f
title: CCDC 2183924: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9k6g
title: CCDC 2183925: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9k7h
title: CCDC 2183926: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9k8j
title: CCDC 2183927: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9k9k
title: CCDC 2183928: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9kbl
title: CCDC 2183929: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9kcm
title: CCDC 2183930: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.cc2c9kdn
title: CCDC 2183931: Experimental Crystal Structure Determination

description: Related Article: Chao Huang, Hua-Qing Tian, Rong-Feng Li, Ying Xiong, Tao Jiang, Dong-Mei Chen, Bi-Xue Zhu|2022|Inorg.Chem.|61|19512|doi:10.1021/acs.inorgchem.2c03448
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.7513794
title: Datasets for numerical Monte Carlo simulations of Diclofenac bio-degradation in a soil-water system

description: This record contains files and main instructions to repeat the numerical simulations of Diclofenac bio-degradation is a soil-water system. The text file Readme.docx contains a description of the overall content of this record, which is organized in two separate folders.
DOI: 10.57745/g1qtf8
title: Supplementary Tables Tricon et al.tab

description: :unav
DOI: 10.6084/m9.figshare.21836586
title: Total-data.xlsx

description: The study covers a large area of natural forests in Northeastern China. The latitudinal and longitudinal ranges of the study region extend from 39–54°N (across 15 degree range) and 119–134°E (15 degree range), respectively. The climate varies from a middle temperate zone to a cool temperate zone. All these zones are characterized by strong seasonality with four distinctly different seasons. The main precipitation period is between July and September, and there is a harsh dry spring season. The database includes 262 plots, each containing four 100 m<sup>2</sup> circular subplots. The distance between any two adjacent subplots is 15 m. The latitudinal range of these plots extends from 39 to 54° N (a range of 15°). The total land area of the investigated region is approximately 700 000 km<sup>2</sup>, of which more than one-third is covered by temperate broadleaf and mixed coniferous forests (FAO & UN, 2020; Olson et al., 2001).
DOI: 10.6084/m9.figshare.21836589.v1
title: dataset-aest-qual-completo.csv

description: This file contains 1.000 available images collected in 2012 DPChallenge in the dataset https://figshare.com/articles/dataset/DPChallenge_Aesthetic_Dataset/6127295/1. It has the evaluations of groups of humans (DPChallenge, Spain and USA) and the metrics given by computational systems (BRISQUE, NIMA, Diffusion Aesthetics and PhotoILike).
DOI: 10.6084/m9.figshare.21836589.v2
title: dataset-aest-qual-completo.csv

description: This file contains 1.000 available images collected in 2012 DPChallenge in the dataset https://figshare.com/articles/dataset/DPChallenge_Aesthetic_Dataset/6127295/1. It has the evaluations of groups of humans (DPChallenge, Spain and USA) and the metrics given by computational systems (BRISQUE, NIMA, Diffusion Aesthetics and PhotoILike).
DOI: 10.6084/m9.figshare.21836589
title: Dataset 1.000 images DPChallenge

description: This file contains 1.000 available images collected in 2012 DPChallenge in the dataset https://figshare.com/articles/dataset/DPChallenge_Aesthetic_Dataset/6127295/1. It has the evaluations of groups of humans (DPChallenge, Spain and USA) and the metrics given by computational systems (BRISQUE, NIMA, Diffusion Aesthetics and PhotoILike).
DOI: 10.6084/m9.figshare.21836589.v3
title: dataset-aest-qual-completo.csvDataset 1.000 images DPChallenge

description: This file contains 1.000 available images collected in 2012 DPChallenge in the dataset https://figshare.com/articles/dataset/DPChallenge_Aesthetic_Dataset/6127295/1. It has the evaluations of groups of humans (DPChallenge, Spain and USA) and the metrics given by computational systems (BRISQUE, NIMA, Diffusion Aesthetics and PhotoILike).
DOI: 10.5517/ccdc.csd.cc2cp6kv
title: CCDC 2195127: Experimental Crystal Structure Determination

description: Related Article: Niklas Aders, Pia Charlotte Trapp, Jan-Hendrik Lamm, J. Louis Beckmann, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2022|Organometallics|41|3600|doi:10.1021/acs.organomet.2c00425
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.cc2cp6lw
title: CCDC 2195128: Experimental Crystal Structure Determination

description: Related Article: Niklas Aders, Pia Charlotte Trapp, Jan-Hendrik Lamm, J. Louis Beckmann, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2022|Organometallics|41|3600|doi:10.1021/acs.organomet.2c00425
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.cc2cp6mx
title: CCDC 2195129: Experimental Crystal Structure Determination

description: Related Article: Niklas Aders, Pia Charlotte Trapp, Jan-Hendrik Lamm, J. Louis Beckmann, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2022|Organometallics|41|3600|doi:10.1021/acs.organomet.2c00425
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.cc2cp6ny
title: CCDC 2195130: Experimental Crystal Structure Determination

description: Related Article: Niklas Aders, Pia Charlotte Trapp, Jan-Hendrik Lamm, J. Louis Beckmann, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2022|Organometallics|41|3600|doi:10.1021/acs.organomet.2c00425
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.