cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3941569
title: Supporting data for "Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach"

description: Raw fluorescence data and derived flow metrics from experimental work undertaken in a hydraulic flume facility in support of the publication: "<strong>Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach"</strong> Water Resources Research https://doi.org/10.1029/2020WR027070
description: {"references": ["Carling, P., Leyland, J., Kleinhans, M.G., Besozzi, L., Duranton, P., Trieu, H. and Teske, R., Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach. Water Resources Research, p.e2020WR027070."]}
DOI: 10.5281/zenodo.3501988
title: Supporting data for "Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach"

description: Raw fluorescence data and derived flow metrics from experimental work undertaken in a hydraulic flume facility in support of the publication: "<strong>Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach"</strong> Water Resources Research https://doi.org/10.1029/2020WR027070
description: {"references": ["Carling, P., Leyland, J., Kleinhans, M.G., Besozzi, L., Duranton, P., Trieu, H. and Teske, R., Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach. Water Resources Research, p.e2020WR027070."]}
DOI: 10.5281/zenodo.3941561
title: Project Panormos Archaeological Survey: Archaeological Data (survey-data)

description: This forms part of the preliminary open data release for the Project Panormos archaeological survey. This "panormos/survey-data" repository contains archaeological data collected as part of the Project Panormos intensive archaeological survey, including tract data (pottery counts, environment, etc.), POI (points-of-interest), finds descriptions and contexts, and photo metadata. Scripts to correct raw imported data files (e.g. from ODK software) into the "canonical" versions are also made available here. <strong>Release 0.2.0</strong> includes data from the 2015, 2017 and 2019 seasons. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. <strong>Release 0.1.0</strong> includes data from the 2015 season. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. <strong>Releases below 1.0.0 represent preprint working datasets before final publication. </strong>Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.
description: The data presented here was generated from fieldwork that was funded from a variety of sources. For full funding details of the project supporters and funders, please see project website (http://www.panormos.de/pp/acknowledgements/). Contributions to publication and preparation of the data was also made as part of a project that has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 700769.
DOI: 10.5281/zenodo.1039979
title: Project Panormos Archaeological Survey: Archaeological Data (survey-data)

description: This forms part of the preliminary open data release for the Project Panormos archaeological survey. This "panormos/survey-data" repository contains archaeological data collected as part of the Project Panormos intensive archaeological survey, including tract data (pottery counts, environment, etc.), POI (points-of-interest), finds descriptions and contexts, and photo metadata. Scripts to correct raw imported data files (e.g. from ODK software) into the "canonical" versions are also made available here. <strong>Release 0.2.0</strong> includes data from the 2015, 2017 and 2019 seasons. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. <strong>Release 0.1.0</strong> includes data from the 2015 season. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. <strong>Releases below 1.0.0 represent preprint working datasets before final publication. </strong>Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.
description: The data presented here was generated from fieldwork that was funded from a variety of sources. For full funding details of the project supporters and funders, please see project website (http://www.panormos.de/pp/acknowledgements/). Contributions to publication and preparation of the data was also made as part of a project that has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 700769.
DOI: 10.15161/oar.it/30554
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5287/bodleian:z52m67emq
title: Intrinsic quantum confinement in formamidinium lead triiodide perovskite
DOI: 10.21227/grpy-e372
title: Data for Paper – Improving Vis Deisgn for Effective Multi-objective Decision Making

description: Decision-makers across many professions are often required to make multi-objective decisions over increasingly larger volumes of data with several competing criteria. Data visualization is a powerful tool for exploring these complex ‘solution spaces’, but there is little research on its ability to support multi-objective decisions. In this paper, we explore the effects of visualization design and data volume on decision quality in multi-objective scenarios with complex trade-offs. We look at the impact of four common multidimensional chart types (scatter plot matrices, parallel coordinates, heat maps, radar charts), the number of options and dimensions, the ratio of number of dimensions considered to the number of dimensions shown, and participant demographics on decision time and accuracy when selecting the ‘optimal option’. As objectively evaluating the quality of multi-objective decisions and the trade-offs involved is challenging, we employ rank- and score-based accuracy metrics. Our findings show that accuracy is comparable across all four visualizations, but that it improves when users are shown less options and consider less dimensions in their decision. Similarly, considering less dimensions imparts a speed advantage, with heat maps being the fastest among the four charts types. Participants who use charts frequently were observed to perform significantly faster, suggesting that users can potentially be trained to effectively use visualizations in their decision-making.
DOI: 10.21227/ma03-8s67
title: Data for Paper – Improving Vis Deisgn for Effective Multi-objective Decision Making

description: Decision-makers across many professions are often required to make multi-objective decisions over increasingly larger volumes of data with several competing criteria. Data visualization is a powerful tool for exploring these complex ‘solution spaces’, but there is little research on its ability to support multi-objective decisions. In this paper, we explore the effects of visualization design and data volume on decision quality in multi-objective scenarios with complex trade-offs. We look at the impact of four common multidimensional chart types (scatter plot matrices, parallel coordinates, heat maps, radar charts), the number of options and dimensions, the ratio of number of dimensions considered to the number of dimensions shown, and participant demographics on decision time and accuracy when selecting the ‘optimal option’. As objectively evaluating the quality of multi-objective decisions and the trade-offs involved is challenging, we employ rank- and score-based accuracy metrics. Our findings show that accuracy is comparable across all four visualizations, but that it improves when users are shown less options and consider less dimensions in their decision. Similarly, considering less dimensions imparts a speed advantage, with heat maps being the fastest among the four charts types. Participants who use charts frequently were observed to perform significantly faster, suggesting that users can potentially be trained to effectively use visualizations in their decision-making.
DOI: 10.21227/v1br-2h03
title: Data for Paper – Improving Vis Deisgn for Effective Multi-objective Decision Making

description: Decision-makers across many professions are often required to make multi-objective decisions over increasingly larger volumes of data with several competing criteria. Data visualization is a powerful tool for exploring these complex ‘solution spaces’, but there is little research on its ability to support multi-objective decisions. In this paper, we explore the effects of visualization design and data volume on decision quality in multi-objective scenarios with complex trade-offs. We look at the impact of four common multidimensional chart types (scatter plot matrices, parallel coordinates, heat maps, radar charts), the number of options and dimensions, the ratio of number of dimensions considered to the number of dimensions shown, and participant demographics on decision time and accuracy when selecting the ‘optimal option’. As objectively evaluating the quality of multi-objective decisions and the trade-offs involved is challenging, we employ rank- and score-based accuracy metrics. Our findings show that accuracy is comparable across all four visualizations, but that it improves when users are shown less options and consider less dimensions in their decision. Similarly, considering less dimensions imparts a speed advantage, with heat maps being the fastest among the four charts types. Participants who use charts frequently were observed to perform significantly faster, suggesting that users can potentially be trained to effectively use visualizations in their decision-making.
DOI: 10.5519/qd.qa1ouved
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (114 records)
DOI: 10.5281/zenodo.3939522
title: SAN Online Databases

description: Collection of online resources of interest to SAN topics. The database is available at SAN website. This is an evolving database. Latest version=V1
DOI: 10.5281/zenodo.3941575
title: TS Ensemble for "Evolution of an interaction between disordered proteins resulted in increased heterogeneity of the binding transition state"

description: These are the input files for a phi-value restrained molecular dynamics associated with this paper "Evolution of an interaction between disordered proteins resulted in increased heterogeneity of the binding transition state"
DOI: 10.5281/zenodo.3941574
title: TS Ensemble for "Evolution of an interaction between disordered proteins resulted in increased heterogeneity of the binding transition state"

description: These are the input files for a phi-value restrained molecular dynamics associated with this paper "Evolution of an interaction between disordered proteins resulted in increased heterogeneity of the binding transition state"
DOI: 10.21227/sfay-xp83
title: Data and Code for Paper – Improving Vis Deisgn for Effective Multi-objective Decision Making

description: Decision-makers across many professions are often required to make multi-objective decisions over increasingly larger volumes of data with several competing criteria. Data visualization is a powerful tool for exploring these complex ‘solution spaces’, but there is little research on its ability to support multi-objective decisions. In this paper, we explore the effects of visualization design and data volume on decision quality in multi-objective scenarios with complex trade-offs. We look at the impact of four common multidimensional chart types (scatter plot matrices, parallel coordinates, heat maps, radar charts), the number of options and dimensions, the ratio of number of dimensions considered to the number of dimensions shown, and participant demographics on decision time and accuracy when selecting the ‘optimal option’. As objectively evaluating the quality of multi-objective decisions and the trade-offs involved is challenging, we employ rank- and score-based accuracy metrics. Our findings show that accuracy is comparable across all four visualizations, but that it improves when users are shown less options and consider less dimensions in their decision. Similarly, considering less dimensions imparts a speed advantage, with heat maps being the fastest among the four charts types. Participants who use charts frequently were observed to perform significantly faster, suggesting that users can potentially be trained to effectively use visualizations in their decision-making.
DOI: 10.5281/zenodo.3941571
title: SAN Equipment

description: Collection of equipment available in public institutions in Nordic/North Atlantic countries relating SAN's technologies. This evolving database is available in the SAN website.
DOI: 10.5281/zenodo.3941570
title: SAN Equipment

description: Collection of equipment available in public institutions in Nordic/North Atlantic countries relating SAN's technologies. This evolving database is available in the SAN website.
DOI: 10.5281/zenodo.3941688
title: Multidecadal Polynya Formation in a (Conceptual) Box Model

description: Data sets and model code for Multidecadal Polynya Formation in a (Conceptual) Box Model submitted for Ocean Sciences, 2020.
DOI: 10.17029/c7fabcfd-e3bc-4761-8562-2595a5066de9
title: Dataset for 'Artificial Neural Network approach for business decision making applied to a corporate relocation problem'.

description: Data set used to train and test ANN used in paper titled ‘Artificial Neural Network approach for business decision making applied to a corporate relocation problem’. 1 MS Excel file containing randomly generated numbers.
DOI: 10.5281/zenodo.3941674
title: Project Panormos Archaeological Survey: Method Design (survey-design)

description: This forms part of the preliminary open data release for the Project Panormos archaeological survey. This "panormos/survey-design" repository contains data collection templates used to record the survey data (particularly the intensive part of the survey), both electronic versions based on XLSForm and XForm format (e.g. for access with ODK software, CSV versions of the XLS formats are also preserved for long-term readability), as well as paper forms (such as walker collection books). <strong>Release 0.2.0</strong> includes templates from the 2015, 2017 and 2019 seasons. The design of the forms is released under a CC BY-SA license, which means that users may re-use, adapt and create derivative versions on condition that the source is attributed and that any modified versions are released under the same terms. <strong>Release 0.1.0</strong> includes templates from the 2015 season. The design of the forms is released under a CC BY-SA license, which means that users may re-use, adapt and create derivative versions on condition that the source is attributed and that any modified versions are released under the same terms. <strong>Releases below 1.0.0 represent preprint working datasets before final publication. </strong>Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.
description: The data presented here was generated from fieldwork that was funded from a variety of sources. For full funding details of the project supporters and funders, please see project website (http://www.panormos.de/pp/acknowledgements/).
DOI: 10.5281/zenodo.1063931
title: Project Panormos Archaeological Survey: Method Design (survey-design)

description: This forms part of the preliminary open data release for the Project Panormos archaeological survey. This "panormos/survey-design" repository contains data collection templates used to record the survey data (particularly the intensive part of the survey), both electronic versions based on XLSForm and XForm format (e.g. for access with ODK software, CSV versions of the XLS formats are also preserved for long-term readability), as well as paper forms (such as walker collection books). <strong>Release 0.2.0</strong> includes templates from the 2015, 2017 and 2019 seasons. The design of the forms is released under a CC BY-SA license, which means that users may re-use, adapt and create derivative versions on condition that the source is attributed and that any modified versions are released under the same terms. <strong>Release 0.1.0</strong> includes templates from the 2015 season. The design of the forms is released under a CC BY-SA license, which means that users may re-use, adapt and create derivative versions on condition that the source is attributed and that any modified versions are released under the same terms. <strong>Releases below 1.0.0 represent preprint working datasets before final publication. </strong>Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.
description: The data presented here was generated from fieldwork that was funded from a variety of sources. For full funding details of the project supporters and funders, please see project website (http://www.panormos.de/pp/acknowledgements/).
DOI: 10.5281/zenodo.3941634
title: SAN Online Databases

description: Collection of online resources of interest to SAN topics. The database is available at SAN website. This is an evolving database. Latest version=V1
DOI: 10.5281/zenodo.3939521
title: SAN Online Databases

description: Collection of online resources of interest to SAN topics. The database is available at SAN website. This is an evolving database. Latest version=V1
DOI: 10.17632/t2zk3xnt8y.1
title: Generated Prediction Data of COVID-19's Daily Infections in Brazil

description: Dataset general description: • This dataset reports 4195 recurrent neural network models, their settings, and their generated prediction csv files, graphs, and metadata files, for predicting COVID-19's daily infections in Brazil by training on limited raw data (30 time-steps and 40 time-steps alternatives). The used code is developed by the author and located in the following online data repository link: http://dx.doi.org/10.17632/yp4d95pk7n.1 Dataset content: • Models, Graphs, and csv predictions files: 1. Deterministic mode (DM): includes 1194 generated models files (30 time-steps), and their generated 2835 graphs and 2835 predictions files. Similarly, this mode includes 1976 generated model files (40 time-steps), and their generated 7301 graphs and 7301 predictions files. 2. Non-deterministic mode (NDM): includes 20 generated model files (30 time-steps), and their generated 53 graphs and 53 predictions files. 3. Technical validation mode (TVM): includes 1001 generated model files (30 time-steps), and their generated 3619 graphs and 3619 predictions files for 358 models, which are a sample of 1001 models. Also, 1 model in control group for India. 4. 1 graph and 1 prediction files for each of DM and NDM, reporting evaluation till 2020-07-11. • Settings and metadata for the above 3 categories: 1. Used settings in json files for reproducibility. 2. Metadata about training and prediction setup and accuracy in csv files. Raw data source that was used to train the models: • The used raw data for training the models is from: COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University): https://github.com/CSSEGISandData/COVID-19 • The models were trained on these versions of the raw data: 1. Link till 2020-06-29 (accessed 2020-07-08): https://github.com/CSSEGISandData/COVID-19/raw/78d91b2dbc2a26eb2b2101fa499c6798aa22fca8/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv 2. Link till 2020-06-13 (accessed 2020-07-08): https://github.com/CSSEGISandData/COVID-19/raw/02ea750a263f6d8b8945fdd3253b35d3fd9b1bee/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv License: This prediction Dataset is licensed under CC BY NC 3.0. Notice and disclaimer: 1- This prediction Dataset is for scientific and research purposes only. 2- The generation of this Dataset complies with the terms of use of the publicly available raw data from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University: https://github.com/CSSEGISandData/COVID-19 and therefore, the author of the prediction Dataset disclaims any and all responsibility and warranties regarding the contents of used raw data, including but not limited to: the correctness, completeness, and any issues linked to third-party rights.
DOI: 10.5284/1078324
title: Summer Precipitation for the England and Wales region, 1201 - 2000CE, from Stable Oxygen Isotopes in oak tree rings

description: To better-understand natural hydroclimate variability and to help place recent climatic change within a longer-term perspective, a reconstruction of summer precipitation was developed based upon the oxygen isotope ratios of precisely-dated latewood alpha-cellulose from oak tree rings. Oxygen isotopes in precipitation are closely related to precipitation variability across the UK, enabling the reconstruction to be used to extend May to August precipitation totals for the England and Wales precipitation series back to 1201CE. The agreement between instrumental and reconstructed values is unusually strong, with more than half of the variance explained and standard verification tests passed. The stability of this relationship is confirmed using split-period calibration and verification. This allows the reconstruction to be variance-scaled to the full length of the England and Wales instrumental series back to 1766CE. Near-constant replication, with a minimum of ten timbers sourced from historic buildings across central southern England ensures signal strength does not change over time. Summers during the late 20th century appear anomalously dry and those of the 21st century very close to the pre-20th century average with no evidence in the record of prolonged 'megadroughts' across England and Wales.
DOI: 10.17632/wyn7959sxf.7
title: Data for: Experimental study on the performance of heat pump water heating system coupled with air type PV/T collector

description: Natural weather datas, thermal and electrical performance of the air type PV/T solar collector, heat pump performance combined with PV/T solar collector