cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25398/rd.northumbria.13143179.v1
title: OpenDoTT Current IoT Practices Dataset: ESR4 Smart Cities

description: This directory contains data generated during the first year of PhD research on <b>Smart Cities</b> within the <b>OpenDoTT project</b> (Open Design of Trusted Things). OpenDoTT is a PhD programme from Northumbria University and the Mozilla Foundation funded by the European Union / Horizon 2020 / Marie Skłodowska-Curie programme.<br>The investigation is focused on smart cities with a strong emphasis on environmental and social issues, as well as ownership and sovereignty. It has a particular attention on waste management, but with a specific take on it. The goal is to contribute with solutions to avoid as much as possible the very need to manage waste in the usual way and to encourage instead the reuse of materials in cities and towns through initiatives of repair and repurposing - aimed at and run by local actors.<br>In order to better understand the field, two Design Research studies were carried out in the first year:<br>- Repair Journey - seven participants were invited to spend some weeks trying to repair or repurpose broken objects, and were interviewed at the end to discuss what were their challenges and discoveries along the way.<br>- Ecosystem Mapping - five people whose work is related to the reuse or re-circulation of second-hand goods were interviewed to compose an overview of the field.<br>This dataset comprises data collected through both these studies, consisting of interviews (in formats PDF and ODF), contents of emails sent to participants, as well as particular images of activities, notes and analyses.<br><br>The researcher is available for contact by email: f.fonseca@northumbria.ac.uk<br><br>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813508.<br><br>---<br><br>
DOI: 10.25377/sussex.12573881
title: Data for paper "Sequence learning induces selectivity to multiple task parameters in mouse somatosensory cortex"

description: <b>Data for paper published in Current Biology (2020)</b><br>Data sets are organised by figures and associated code is included where relevant. <br><br>Readme files for the data in Figures 3-5 are included separately and also within the respective zipped folders. <br>The paper was originally released as "Learning a tactile sequence induces selectivity to action decisions and outcomes in the mouse somatosensory cortex", https://doi.org/10.1101/2020.04.17.037143<br><br><b>Abstract:</b>Sequential temporal ordering and patterning are key features of natural signals, used by the brain to decode stimuli and perceive them as sensory objects. To explore how cortical neuronal activity underpins sequence discrimination, we developed a task in which mice distinguished between tactile ‘word’ sequences constructed from distinct vibrations delivered to the whiskers, assembled in different orders. Animals licked to report the presence of the target sequence. Mice could respond to the earliest possible cues allowing discrimination, effectively solving the task as a ‘detection of change’ problem, but enhanced their performance when responding later. Optogenetic inactivation showed that the somatosensory cortex was necessary for sequence discrimination. Two-photon imaging in layer 2/3 of the primary somatosensory ‘barrel’ cortex (S1bf) revealed that, in well-trained animals, neurons had heterogeneous selectivity to multiple task variables including not just sensory input but also the animal’s action decision and the trial outcome (presence or absence of the predicted reward). Many neurons were activated preceding goal-directed licking, thus reflecting the animal’s learnt action in response to the target sequence; these neurons were found as soon as mice learned to associate the rewarded sequence with licking. In contrast, learning evoked smaller changes in sensory response tuning: neurons responding to stimulus features were found in naïve mice, and training did not generate neurons with enhanced temporal integration or categorical responses. Therefore, in S1bf sequence learning results in neurons whose activity reflects the learnt association between target sequence and licking, rather than a refined representation of sensory features.<br><br><br>
DOI: 10.25377/sussex.12573881.v1
title: Data for paper "Sequence learning induces selectivity to multiple task parameters in mouse somatosensory cortex"

description: <b>Data for paper published in Current Biology (2020)</b><br>Data sets are organised by figures and associated code is included where relevant. <br><br>Readme files for the data in Figures 3-5 are included separately and also within the respective zipped folders. <br>The paper was originally released as "Learning a tactile sequence induces selectivity to action decisions and outcomes in the mouse somatosensory cortex", https://doi.org/10.1101/2020.04.17.037143<br><br><b>Abstract:</b>Sequential temporal ordering and patterning are key features of natural signals, used by the brain to decode stimuli and perceive them as sensory objects. To explore how cortical neuronal activity underpins sequence discrimination, we developed a task in which mice distinguished between tactile ‘word’ sequences constructed from distinct vibrations delivered to the whiskers, assembled in different orders. Animals licked to report the presence of the target sequence. Mice could respond to the earliest possible cues allowing discrimination, effectively solving the task as a ‘detection of change’ problem, but enhanced their performance when responding later. Optogenetic inactivation showed that the somatosensory cortex was necessary for sequence discrimination. Two-photon imaging in layer 2/3 of the primary somatosensory ‘barrel’ cortex (S1bf) revealed that, in well-trained animals, neurons had heterogeneous selectivity to multiple task variables including not just sensory input but also the animal’s action decision and the trial outcome (presence or absence of the predicted reward). Many neurons were activated preceding goal-directed licking, thus reflecting the animal’s learnt action in response to the target sequence; these neurons were found as soon as mice learned to associate the rewarded sequence with licking. In contrast, learning evoked smaller changes in sensory response tuning: neurons responding to stimulus features were found in naïve mice, and training did not generate neurons with enhanced temporal integration or categorical responses. Therefore, in S1bf sequence learning results in neurons whose activity reflects the learnt association between target sequence and licking, rather than a refined representation of sensory features.<br><br><br>
DOI: 10.21227/1xkf-xe08
title: Effect of Paddy Rice vegetation on path-loss between CC2650 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

description: Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect ofPaddy Ricevegetation on path-loss betweenCC2650 SoC 32-bit Arm Cortex-M3based sensor nodes operating at2.4 GHzRadio Frequency (RF)".This database contains received signal strengthmeasurementscollected through campaigns in theIEEE 802.15.4standard precision agricultural monitoring infrastructure developed for Paddy rice crop monitoring from period03/07/2019 to 18/11/2019.
DOI: 10.5519/qd.nkuuw2jf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/41a7-ds30
title: Effect of Paddy Rice vegetation on path-loss between CC2650 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

description: Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect ofPaddy Ricevegetation on path-loss betweenCC2650 SoC 32-bit Arm Cortex-M3based sensor nodes operating at2.4 GHzRadio Frequency (RF)".This database contains received signal strengthmeasurementscollected through campaigns in theIEEE 802.15.4standard precision agricultural monitoring infrastructure developed for Paddy rice crop monitoring from period03/07/2019 to 18/11/2019.
DOI: 10.21227/jy73-8d12
title: Solar Inverter

description: This dataset is in support of Research Paper " 6.66 kVA Solar Inverter " submitted to "IEEE Transactions on Energy Conversion".(https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)Abstract of the above submitted paper
DOI: 10.21227/pyrq-6564
title: Effect of Paddy Rice vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

description: Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Paddy Rice vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This database contains received signal strengthmeasurementscollected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed forPaddy Ricecrop monitoring from period 01/07/2020 to 03/11/2020.
DOI: 10.21227/knnq-c552
title: Effect of Sugarcane Vegetation On Path-Loss Between CC2650 and CC2538 Soc Based Sensor Nodes Operating At 2.4 Ghz Radio Frequency (Rf)

description: Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Sugarcane vegetation on path-loss between CC2650 and CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)". This database contains received signal strength measurements collected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for Sugarcane crop monitoring from period 20/11/2019 to 20/06/2020.
DOI: 10.5257/iea/eei/2020
title: Energy Efficiency Indicators (2020 Edition)

description: The International Energy Agency (IEA) Energy Efficiency Indicators database provides detailed information on energy use, energy indicators, activity, emissions, and carbon indicators in the industry sector.
DOI: 10.21227/j83p-3k98
title: Solar Inverter

description: This dataset is in support of Research Paper " 6.66 kVA Solar Inverter " submitted to "IEEE Transactions on Energy Conversion".(https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)This experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)Abstract of the above submitted paper
DOI: 10.5517/ccdc.csd.ccy3xfc
title: CCDC 867703: Experimental Crystal Structure Determination

description: Related Article: Dmitrii Pankin, Anastasia Khokhlova, Ilya Kolesnikov, Anna Vasileva, Anna Pilip, Anastasia Egorova, Elena Erkhitueva, Vladislav Zigel, Maxim Gureev, Alina Manshina|2021|Spectrochim.Acta,Part A|246|118979|doi:10.1016/j.saa.2020.118979
DOI: 10.5517/ccdc.csd.cc2574cy
title: CCDC 2002859: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc2574dz
title: CCDC 2002860: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc2574g1
title: CCDC 2002862: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc2574h2
title: CCDC 2002863: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc2574j3
title: CCDC 2002864: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc2668rg
title: CCDC 2031825: Experimental Crystal Structure Determination

description: Related Article: Liangliang Chen, Mingxu Du, Jianwu Tian, Wenlin Jiang, Zitong Liu, Xisha Zhang, Guanxin Zhang, Deqing Zhang|2020|Org.Lett.|22|8629|doi:10.1021/acs.orglett.0c03233
DOI: 10.5517/ccdc.csd.cc26926t
title: CCDC 2034505: Experimental Crystal Structure Determination

description: Related Article: Anu Jacob, Peter G. Jones, Daniel B. Werz|2020|Org.Lett.|22|8720|doi:10.1021/acs.orglett.0c03329
DOI: 10.5517/ccdc.csd.cc26927v
title: CCDC 2034506: Experimental Crystal Structure Determination

description: Related Article: Anu Jacob, Peter G. Jones, Daniel B. Werz|2020|Org.Lett.|22|8720|doi:10.1021/acs.orglett.0c03329
DOI: 10.5517/ccdc.csd.cc26928w
title: CCDC 2034507: Experimental Crystal Structure Determination

description: Related Article: Anu Jacob, Peter G. Jones, Daniel B. Werz|2020|Org.Lett.|22|8720|doi:10.1021/acs.orglett.0c03329
DOI: 10.5517/ccdc.csd.cc26f583
title: CCDC 2038444: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc26f594
title: CCDC 2038445: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc26f5b5
title: CCDC 2038446: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc26f5c6
title: CCDC 2038447: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.5517/ccdc.csd.cc26f5d7
title: CCDC 2038448: Experimental Crystal Structure Determination

description: Related Article: Hangcheng Ni, Zhenpin Lu, Zuowei Xie|2020|J.Am.Chem.Soc.|142|18661|doi:10.1021/jacs.0c08652
DOI: 10.25345/c5nb7h
title: MassIVE MSV000086443 - GNPS TEST Euglena fungi bacteria mix grown on S/W Bi extracted with EtOAC
title: GNPS TEST Euglena fungi bacteria mix grown on S/W Bi extracted with EtOAC
DOI: 10.5281/zenodo.4269575
title: Augmented emission maps: 1968 cc 55 Kw Euro 6 diesel engine: update 2

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1968 cc 55 kW Euro 6 diesel engine that has been applied in the Volkswagen Caddy. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.3974443
title: Augmented emission maps: 1968 cc 55 Kw Euro 6 diesel engine: update 2

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1968 cc 55 kW Euro 6 diesel engine that has been applied in the Volkswagen Caddy. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.21227/9317-n106
title: Model5

description: Extension of Model4
DOI: 10.5281/zenodo.4269703
title: Augmented emission maps: 1968 cc 100 kW Euro 5b diesel engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1968 cc 100 kW Euro 5b diesel engine that has been applied in the Volkswagen Crafter, Passat, Sharan, and Tiguan, Audi A3, Q3, A4, A5, and A6, Seat Alhambra. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269702
title: Augmented emission maps: 1968 cc 100 kW Euro 5b diesel engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1968 cc 100 kW Euro 5b diesel engine that has been applied in the Volkswagen Crafter, Passat, Sharan, and Tiguan, Audi A3, Q3, A4, A5, and A6, Seat Alhambra. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269650
title: Augmented emission maps: 2198 cc 74 kW Euro 5a diesel engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 2198 cc 74 kW Euro 5a diesel engine that has been applied in the Ford Transit and Tourneo. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269539
title: Augmented emission maps: 1199 cc 55 kW Euro 5a diesel engine: update 2

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1199 cc 55 kW Euro 5a diesel engine that has been applied in the Volkswagen Polo, Seat Ibiza, Skoda Fabia and Skoda Roomster. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269649
title: Augmented emission maps: 2198 cc 74 kW Euro 5a diesel engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 2198 cc 74 kW Euro 5a diesel engine that has been applied in the Ford Transit and Tourneo. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.21227/b0dr-v594
title: 3st_wuyh

description: The idea of our team is to use the data of the least missing December as the training set and the validation set, obtain the optimal parameters through grid search, and use the xgboost machine learning model to learn and predict the results of each month next year
DOI: 10.21227/anfr-9n43
title: GeoNRW

description: This dataset consists of orthorectified aerial photographs, LiDAR derived digital elevation models and segmentation maps with 10 classes, acquired through the open data program of the German state North Rhine-Westphalia (https://www.opengeodata.nrw.de/produkte/) and refined with OpenStreeMap. Please check the license information (http://www.govdata.de/dl-de/by-2-0). Preprocessing consists of resampling the 0.1m resolution photographs to 1m, taking the first LiDAR return while averaging within 1m² to arrive at the same resolution as the photographs, and rasterizing vector files of the land cover data. In total the dataset consists of 7783 triplets of size 1000x1000 pixels.
DOI: 10.5281/zenodo.3974479
title: Augmented emission maps: 1199 cc 55 kW Euro 5a diesel engine: update 2

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1199 cc 55 kW Euro 5a diesel engine that has been applied in the Volkswagen Polo, Seat Ibiza, Skoda Fabia and Skoda Roomster. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.21227/rc80-sf50
title: test 3

description: lgb + opt + abs transform
DOI: 10.21227/30x9-k146
title: 3st_wuyh

description: The idea of our team is to use the data of the least missing December as the training set and the validation set, obtain the optimal parameters through grid search, and use the xgboost machine learning model to learn and predict the results of each month next year