cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4228/zalf.2001.94
title: Weather Data 2001, Ziethen, Germany

description: The automatic weather station Ziethen was installed in 1993 by the Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Institute of Landscape System Analysis. The station is located within the municipality Ziethen, district Barnim, state Brandenburg, Germany. Location: Altitude in meter: 56 NN, Geographic latitude: 52,9600N, Geographic longitude: 13,8959 Type: FMA 186 Lambrecht weather station. In 2001, data have been collected for: leaf wetness (%); soil temperature in 5cm depth (°C) ; soil temperature in 50cm depth (°C); soil temperature in 20cm depth (°C); global radiation (J/cm²); air temperature, 2m above ground (°C); air temperature, 20cm above ground (°C); precipitation (mm); relative humidity (%); evaporation (mm); wind velocity (m/sec);
DOI: 10.5281/zenodo.4048019
title: Data associated with sscape_spec_occ_preds_sethi2020

description: Data associated with the Github repository at https://github.com/sarabsethi/sscape_spec_occ_preds_sethi2020 Unzip the contents of this zip file into sscape_spec_occ_preds_sethi2020/pc_data and then follow instructions on the GitHub page to run analyses and reproduce figures
DOI: 10.5281/zenodo.4048018
title: Data associated with sscape_spec_occ_preds_sethi2020

description: Data associated with the Github repository at https://github.com/sarabsethi/sscape_spec_occ_preds_sethi2020 Unzip the contents of this zip file into sscape_spec_occ_preds_sethi2020/pc_data and then follow instructions on the GitHub page to run analyses and reproduce figures
DOI: 10.5281/zenodo.3572653
title: Microscopic images of pollen captured in Graz, Austria

description: <strong>Images and Annotations</strong> This dataset contains microscopic images of pollen captured in Graz, Austria. Additionally, bounding box annotations are provided for each image. The images were captured with an automated pollen detection system as described in the paper Automated and Continuous Pollen Detection with an Affordable Technology. The annotations have been produced manually. This dataset contains data of two days (23.05.2019 and 26.05.2019). The dataset can be used to train an object classifier with the code from the following repository: https://github.com/osaukh/pollenpub <strong>Weights</strong> In addition, this dataset contains two pre-trained weight files. One weight file is pre-trained on ImageNet (provided by Joseph Redmon) and the other is pre-trained for pollen detection on the above mentioned image/annotation combination. <strong>References</strong><br> The dataset (and related aspects) has partly been used and is described in more detail in the following publication: N. Cao, M. Meyer, L. Thiele, O. Saukh. Automated Pollen Detection with an Affordable Technology. Proc. of the International Conference on Embedded Wireless Systems and Networks (EWSN), February 2020.
DOI: 10.5281/zenodo.3572652
title: Microscopic images of pollen captured in Graz, Austria

description: <strong>Images and Annotations</strong> This dataset contains microscopic images of pollen captured in Graz, Austria. Additionally, bounding box annotations are provided for each image. The images were captured with an automated pollen detection system as described in the paper Automated and Continuous Pollen Detection with an Affordable Technology. The annotations have been produced manually. This dataset contains data of two days (23.05.2019 and 26.05.2019). The dataset can be used to train an object classifier with the code from the following repository: https://github.com/osaukh/pollenpub <strong>Weights</strong> In addition, this dataset contains two pre-trained weight files. One weight file is pre-trained on ImageNet (provided by Joseph Redmon) and the other is pre-trained for pollen detection on the above mentioned image/annotation combination. <strong>References</strong><br> The dataset (and related aspects) has partly been used and is described in more detail in the following publication: N. Cao, M. Meyer, L. Thiele, O. Saukh. Automated Pollen Detection with an Affordable Technology. Proc. of the International Conference on Embedded Wireless Systems and Networks (EWSN), February 2020.
DOI: 10.5281/zenodo.4048049
title: FluxQuantumLab/JHD-paper-zenodo: For initial submission

description: Python scripts to reproduce figures from research article: *Transconductance quantization in a topological Josephson tunnel junction circuit* (arXiv)[https://arxiv.org/abs/2009.03291]
DOI: 10.6084/m9.figshare.12997061
title: R0230_20181022a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4040994
title: The Acoustic Environment of York Minster's Chapter House

description: This repository contains the data set related to the paper “The Acoustic Environment of York Minster's Chapter House”, published in "Acoustics" as part of the "Special Issue Historical Acoustics: Relationships between People and Sound over Time" and available at: DOI: 10.3390/acoustics2010003 This dataset contains the B-format Room Impulse Responses (RIR) in the Waveform Audio File standard Format (.wav) measured and simulated at a selected set of source-receiver combinations in the York Minster's Chapter House, used for the acoustical analysis performed as part of the CATHEDRAL ACOUSTICS project (CA-MRIR-YM-CH and CA-SRIR-YM-CH folders respectively). The .xls spreadsheets (CA-YM-CH-MRIR-ResultData-EnergyParameters and CA-YM-CH-SRIR-ResultData-EnergyParameters) include the results derived for the measured and simulated RIR used for the discussion presented in the manuscript. LICENCE.txt, METADATA.txt and README.txt contain a brief description of the folder contents, authors, other useful information. Details on the acoustic measurement campaigns and simulations can be found in the manuscript. Please cite both the paper and dataset if used. -------------------------------------------------- This work is license under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). (see https://creativecommons.org/licenses/by-nc-sa/4.0/) -------------------------------------------------- Dataset curated by Lidia Álvarez-Morales, Theatre, Film, Television and Interactive Media Department, University of York.<br> Contact: lidia.alvarezmorales@york.ac.uk; lidiaalvarezmorales@gmail.com ------------------------------------------------- Funding was provided by the European Union’s Horizon 2020 research and innovation programme (http://dx.doi.org/10.13039/501100007601) under the Marie Sklodowska-Curie grant agreement No 797586
DOI: 10.5281/zenodo.4040993
title: The Acoustic Environment of York Minster's Chapter House

description: This repository contains the data set related to the paper “The Acoustic Environment of York Minster's Chapter House”, published in "Acoustics" as part of the "Special Issue Historical Acoustics: Relationships between People and Sound over Time" and available at: DOI: 10.3390/acoustics2010003 This dataset contains the B-format Room Impulse Responses (RIR) in the Waveform Audio File standard Format (.wav) measured and simulated at a selected set of source-receiver combinations in the York Minster's Chapter House, used for the acoustical analysis performed as part of the CATHEDRAL ACOUSTICS project (CA-MRIR-YM-CH and CA-SRIR-YM-CH folders respectively). The .xls spreadsheets (CA-YM-CH-MRIR-ResultData-EnergyParameters and CA-YM-CH-SRIR-ResultData-EnergyParameters) include the results derived for the measured and simulated RIR used for the discussion presented in the manuscript. LICENCE.txt, METADATA.txt and README.txt contain a brief description of the folder contents, authors, other useful information. Details on the acoustic measurement campaigns and simulations can be found in the manuscript. Please cite both the paper and dataset if used. -------------------------------------------------- This work is license under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). (see https://creativecommons.org/licenses/by-nc-sa/4.0/) -------------------------------------------------- Dataset curated by Lidia Álvarez-Morales, Theatre, Film, Television and Interactive Media Department, University of York.<br> Contact: lidia.alvarezmorales@york.ac.uk; lidiaalvarezmorales@gmail.com ------------------------------------------------- Funding was provided by the European Union’s Horizon 2020 research and innovation programme (http://dx.doi.org/10.13039/501100007601) under the Marie Sklodowska-Curie grant agreement No 797586
DOI: 10.6084/m9.figshare.11907054.v1
title: Too expensive to be worth it? A methodology to identify disproportionate costs of environmental measures as applied to the Middle Tagus River, Spain

description: The European Union (EU) Water Framework Directive (WFD) established in 2000 that EU Member States should achieve good status for all their water bodies by 2027 at the latest. The competent authorities are obliged to commit the necessary resources to achieve this goal. In water bodies where the costs are deemed disproportionate, the Directive foresees the definition of exemptions. Two decades after approval of the WFD, however, there is no common method across the EU to evaluate the disproportionality of costs and define the associated exemptions. We propose a methodology based on WFD indicators of water body status and economic variables that are common to all the EU countries. The method uses data that is already available in Eurostat and European Environment Agency databases, thus minimizing data collection costs. The method is applied to the Middle Tagus (Spain), where currently there are several water bodies with declared exemptions for disproportionate costs.
DOI: 10.6084/m9.figshare.11907054
title: Too expensive to be worth it? A methodology to identify disproportionate costs of environmental measures as applied to the Middle Tagus River, Spain

description: The European Union (EU) Water Framework Directive (WFD) established in 2000 that EU Member States should achieve good status for all their water bodies by 2027 at the latest. The competent authorities are obliged to commit the necessary resources to achieve this goal. In water bodies where the costs are deemed disproportionate, the Directive foresees the definition of exemptions. Two decades after approval of the WFD, however, there is no common method across the EU to evaluate the disproportionality of costs and define the associated exemptions. We propose a methodology based on WFD indicators of water body status and economic variables that are common to all the EU countries. The method uses data that is already available in Eurostat and European Environment Agency databases, thus minimizing data collection costs. The method is applied to the Middle Tagus (Spain), where currently there are several water bodies with declared exemptions for disproportionate costs.
DOI: 10.5517/ccdc.csd.cc1qcffy
title: CCDC 1589910: Experimental Crystal Structure Determination

description: Related Article: Pia Burboa-Schettino, Carlos Bustos, Elies Molins, Xavier F. Figueroa, Jesus Llanquinao, Ximena Zarate, Gabriel Vallejos, Carlos Diaz-Uribe, William Vallejo, Eduardo Schott|2020|Arab.J.Chem.|13|6412|doi:10.1016/j.arabjc.2020.05.042
DOI: 10.5517/ccdc.csd.cc22gf55
title: CCDC 1920486: Experimental Crystal Structure Determination

description: Related Article:  Finlay A. Walton|2020|Thesis|||
description: Related Article: Finlay Walton,  John Bolling,  Andrew Farrell,  Jamie MacEwen,  Christopher D. Syme,  Mario González Jiménez,  Hans M. Senn,  Claire Wilson,  Gianfelice Cinque,  Klaas Wynne|2020|J.Am.Chem.Soc.|142|7591|doi:10.1021/jacs.0c01712
DOI: 10.5517/ccdc.csd.cc25glw4
title: CCDC 2010036: Experimental Crystal Structure Determination

description: Related Article: Biswajit Laha, Sadhika Khullar, Alisha Gogia, Sanjay K. Mandal|2020|Dalton Trans.|49|12298|doi:10.1039/D0DT02153A
DOI: 10.5517/ccdc.csd.cc25glx5
title: CCDC 2010037: Experimental Crystal Structure Determination

description: Related Article: Biswajit Laha, Sadhika Khullar, Alisha Gogia, Sanjay K. Mandal|2020|Dalton Trans.|49|12298|doi:10.1039/D0DT02153A
DOI: 10.5517/ccdc.csd.cc25gly6
title: CCDC 2010038: Experimental Crystal Structure Determination

description: Related Article: Biswajit Laha, Sadhika Khullar, Alisha Gogia, Sanjay K. Mandal|2020|Dalton Trans.|49|12298|doi:10.1039/D0DT02153A
DOI: 10.5517/ccdc.csd.cc25glz7
title: CCDC 2010039: Experimental Crystal Structure Determination

description: Related Article: Biswajit Laha, Sadhika Khullar, Alisha Gogia, Sanjay K. Mandal|2020|Dalton Trans.|49|12298|doi:10.1039/D0DT02153A
DOI: 10.5517/ccdc.csd.cc25h1pf
title: CCDC 2010464: Experimental Crystal Structure Determination

description: Related Article: João Franco Machado, Diogo Sequeira, Fernanda Marques, M. Fátima M. Piedade, Maria J. Villa de Brito, M. Helena Garcia, Alexandra R. Fernandes, Tânia S. Morais|2020|Dalton Trans.|49|12273|doi:10.1039/D0DT02157A
DOI: 10.5517/ccdc.csd.cc25h1rh
title: CCDC 2010466: Experimental Crystal Structure Determination

description: Related Article: João Franco Machado, Diogo Sequeira, Fernanda Marques, M. Fátima M. Piedade, Maria J. Villa de Brito, M. Helena Garcia, Alexandra R. Fernandes, Tânia S. Morais|2020|Dalton Trans.|49|12273|doi:10.1039/D0DT02157A
DOI: 10.5517/ccdc.csd.cc25h1tk
title: CCDC 2010468: Experimental Crystal Structure Determination

description: Related Article: João Franco Machado, Diogo Sequeira, Fernanda Marques, M. Fátima M. Piedade, Maria J. Villa de Brito, M. Helena Garcia, Alexandra R. Fernandes, Tânia S. Morais|2020|Dalton Trans.|49|12273|doi:10.1039/D0DT02157A
DOI: 10.5517/ccdc.csd.cc25m9gl
title: CCDC 2014549: Experimental Crystal Structure Determination

description: Related Article: Jan-Erik Siewert, André Schumann, Malte Fischer, Christoph Schmidt, Tobias Taeufer, Christian Hering-Junghans|2020|Dalton Trans.|49|12354|doi:10.1039/D0DT02435J
DOI: 10.5517/ccdc.csd.cc25m9hm
title: CCDC 2014550: Experimental Crystal Structure Determination

description: Related Article: Jan-Erik Siewert, André Schumann, Malte Fischer, Christoph Schmidt, Tobias Taeufer, Christian Hering-Junghans|2020|Dalton Trans.|49|12354|doi:10.1039/D0DT02435J
DOI: 10.5517/ccdc.csd.cc25m9jn
title: CCDC 2014551: Experimental Crystal Structure Determination

description: Related Article: Jan-Erik Siewert, André Schumann, Malte Fischer, Christoph Schmidt, Tobias Taeufer, Christian Hering-Junghans|2020|Dalton Trans.|49|12354|doi:10.1039/D0DT02435J
DOI: 10.5517/ccdc.csd.cc25n9fl
title: CCDC 2015509: Experimental Crystal Structure Determination

description: Related Article: Yuichi Takasaki, Toshiyuki Sasaki, Satoshi Takamizawa|2020|Cryst.Growth Des.|20|6211|doi:10.1021/acs.cgd.0c00964
DOI: 10.5517/ccdc.csd.cc25n9gm
title: CCDC 2015510: Experimental Crystal Structure Determination

description: Related Article: Yuichi Takasaki, Toshiyuki Sasaki, Satoshi Takamizawa|2020|Cryst.Growth Des.|20|6211|doi:10.1021/acs.cgd.0c00964
DOI: 10.5517/ccdc.csd.cc25n9hn
title: CCDC 2015511: Experimental Crystal Structure Determination

description: Related Article: Yuichi Takasaki, Toshiyuki Sasaki, Satoshi Takamizawa|2020|Cryst.Growth Des.|20|6211|doi:10.1021/acs.cgd.0c00964
DOI: 10.5517/ccdc.csd.cc25n9jp
title: CCDC 2015512: Experimental Crystal Structure Determination

description: Related Article: Yuichi Takasaki, Toshiyuki Sasaki, Satoshi Takamizawa|2020|Cryst.Growth Des.|20|6211|doi:10.1021/acs.cgd.0c00964
DOI: 10.5517/ccdc.csd.cc248crk
title: CCDC 1974258: Experimental Crystal Structure Determination

description: Related Article: Xiaoqing Xin, Iskander Douair, Yue Zhao, Shuao Wang, Laurent Maron, Congqing Zhu|2020|J.Am.Chem.Soc.|142|15004|doi:10.1021/jacs.0c05788
DOI: 10.5517/ccdc.csd.cc248csl
title: CCDC 1974259: Experimental Crystal Structure Determination

description: Related Article: Xiaoqing Xin, Iskander Douair, Yue Zhao, Shuao Wang, Laurent Maron, Congqing Zhu|2020|J.Am.Chem.Soc.|142|15004|doi:10.1021/jacs.0c05788
DOI: 10.5517/ccdc.csd.cc248ctm
title: CCDC 1974260: Experimental Crystal Structure Determination

description: Related Article: Xiaoqing Xin, Iskander Douair, Yue Zhao, Shuao Wang, Laurent Maron, Congqing Zhu|2020|J.Am.Chem.Soc.|142|15004|doi:10.1021/jacs.0c05788
DOI: 10.5517/ccdc.csd.cc248cvn
title: CCDC 1974261: Experimental Crystal Structure Determination

description: Related Article: Xiaoqing Xin, Iskander Douair, Yue Zhao, Shuao Wang, Laurent Maron, Congqing Zhu|2020|J.Am.Chem.Soc.|142|15004|doi:10.1021/jacs.0c05788
DOI: 10.5517/ccdc.csd.cc25qvsk
title: CCDC 2017969: Experimental Crystal Structure Determination

description: Related Article: Savita Gadigennavar, Sethuraman Sankararaman|2020|Org.Biomol.Chem.|18|6738|doi:10.1039/D0OB01544J
DOI: 10.5517/ccdc.csd.cc25qvtl
title: CCDC 2017970: Experimental Crystal Structure Determination

description: Related Article: Savita Gadigennavar, Sethuraman Sankararaman|2020|Org.Biomol.Chem.|18|6738|doi:10.1039/D0OB01544J
DOI: 10.5517/ccdc.csd.cc25qvwn
title: CCDC 2017972: Experimental Crystal Structure Determination

description: Related Article: Savita Gadigennavar, Sethuraman Sankararaman|2020|Org.Biomol.Chem.|18|6738|doi:10.1039/D0OB01544J
DOI: 10.5281/zenodo.4047758
title: Natagora/WWF-LPI Codes and results

description: All LPI results for Belgium by taxonomic groups, regions, habitats... created by Natagora using MSI-Tools in R based on data prepared by Natagora, INBO, Natuurpunt, Statistics Netherlands. Species code is in LPI_species_habitat.csv.
DOI: 10.5281/zenodo.4047757
title: Natagora/WWF-LPI Codes and results

description: All LPI results for Belgium by taxonomic groups, regions, habitats... created by Natagora using MSI-Tools in R based on data prepared by Natagora, INBO, Natuurpunt, Statistics Netherlands. Species code is in LPI_species_habitat.csv.
DOI: 10.5281/zenodo.4048085
title: Dataset for systematic mapping literature about STEAM through Challenge-Based Learning, Robotics and Physical Devices

description: This is the public dataset for the systematic mapping literature review performed for the paper "Fostering STEAM through Challenge-Based Learning, Robotics and Physical Devices: A systematic mapping literature review". Related to activity O2.A1 of the RoboSTEAM European Project.
description: RoboSTEAM (Integrating STEAM and computational thinking development by using robotics and physical devices) is a project funded under European Union ERASMUS+ KA2 – Cooperation and Innovation for Good Practices. Strategic Partnerships for school education Programme (2018-1-ES01-KA201-050939). The European Commission support for the production of this publication does not constitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.6084/m9.figshare.12998945.v1
title: Problem 1a

description: 1000 Generated random data (float type) within range 0 - 100
DOI: 10.5281/zenodo.3727460
title: On the agreement between bibliometrics and peer review. Supplementary materials

description: Data sets and supplementary materials of the paper "On the agreement between bibliometrics and peer review: evidence from the Italian research assessment exercises" <strong>DS1_EXP1 and EXP2 data.xls:</strong> raw anonymized data of the two experiments EXP1 and EXP2. <strong>DS2_Avg_score_vs_perc_peer_review_VQR1_VQR2</strong>. average score and proportion of peer review evaluations at a scientific field level. Data from the two Italian research assessment exercises VQR1 and VQR2. <strong>SM1_Fig_1_EXP1_geom_count_peer_vs_bibliometrics_all.png</strong>: joint distribution of peer review and bibliometrics evaluations for EXP1. R_ggplot: count overlapping points (proportion). All research areas. <strong>SM1_Fig_2_EXP1_geom_count_peer_vs_bibliometrics_area.png: </strong> joint distribution of peer review and bibliometrics evaluations for EXP1. R_ggplot: count overlapping points (proportion). Separate plot for each research area. <strong>SM1_Fig_3_EXP2_geom_count_peer_vs_bibliometrics_all.png</strong>: joint distribution of peer review and bibliometrics evaluations for EXP2. All scientific areas. R_ggplot: count overlapping points (proportion). All areas. <strong>SM1_Fig_4_EXP2_geom_count_peer_vs_bibliometrics_area.png: </strong> joint distribution of peer review and bibliometrics evaluations for EXP2. R_ggplot: count overlapping points (proportion). Separate plot for each research area. <strong>SM2_Fig_1_VQR1_plot_avg_score_percentage_peer.png</strong>: Average score and percentage of articles evaluated by peer review for<br> research fields in VQR1. All areas. <strong>SM2_Fig_2_VQR1_avg_score_vs_percentage_peer</strong>:<strong> </strong>Regression lines for average score and percentage of articles evaluated by peer review for different research areas. VQR1. <strong>SM2_Fig_3_VQR2_plot_avg_score_percentage_peer.png</strong>: Average score and percentage of articles evaluated by peer review for<br> research fields in VQR2. All areas. <strong>SM2_Fig_4_VQR2_avg_score_vs_percentage_peer</strong>:<strong> </strong>Regression lines for average score and percentage of articles evaluated by peer review for different research areas. VQR2. <strong>SM_supplementary_table_linear_weights.pdf</strong>: Cohen's kappa estimates with linear weights for EXP1 and EXP2. 4 tables.
DOI: 10.5281/zenodo.3727459
title: On the agreement between bibliometrics and peer review. Supplementary materials

description: Data sets and supplementary materials of the paper "On the agreement between bibliometrics and peer review: evidence from the Italian research assessment exercises" <strong>DS1_EXP1 and EXP2 data.xls:</strong> raw anonymized data of the two experiments EXP1 and EXP2. <strong>DS2_Avg_score_vs_perc_peer_review_VQR1_VQR2</strong>. average score and proportion of peer review evaluations at a scientific field level. Data from the two Italian research assessment exercises VQR1 and VQR2. <strong>SM1_Fig_1_EXP1_geom_count_peer_vs_bibliometrics_all.png</strong>: joint distribution of peer review and bibliometrics evaluations for EXP1. R_ggplot: count overlapping points (proportion). All research areas. <strong>SM1_Fig_2_EXP1_geom_count_peer_vs_bibliometrics_area.png: </strong> joint distribution of peer review and bibliometrics evaluations for EXP1. R_ggplot: count overlapping points (proportion). Separate plot for each research area. <strong>SM1_Fig_3_EXP2_geom_count_peer_vs_bibliometrics_all.png</strong>: joint distribution of peer review and bibliometrics evaluations for EXP2. All scientific areas. R_ggplot: count overlapping points (proportion). All areas. <strong>SM1_Fig_4_EXP2_geom_count_peer_vs_bibliometrics_area.png: </strong> joint distribution of peer review and bibliometrics evaluations for EXP2. R_ggplot: count overlapping points (proportion). Separate plot for each research area. <strong>SM2_Fig_1_VQR1_plot_avg_score_percentage_peer.png</strong>: Average score and percentage of articles evaluated by peer review for<br> research fields in VQR1. All areas. <strong>SM2_Fig_2_VQR1_avg_score_vs_percentage_peer</strong>:<strong> </strong>Regression lines for average score and percentage of articles evaluated by peer review for different research areas. VQR1. <strong>SM2_Fig_3_VQR2_plot_avg_score_percentage_peer.png</strong>: Average score and percentage of articles evaluated by peer review for<br> research fields in VQR2. All areas. <strong>SM2_Fig_4_VQR2_avg_score_vs_percentage_peer</strong>:<strong> </strong>Regression lines for average score and percentage of articles evaluated by peer review for different research areas. VQR2. <strong>SM_supplementary_table_linear_weights.pdf</strong>: Cohen's kappa estimates with linear weights for EXP1 and EXP2. 4 tables.