cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4271715
title: EPSRC HEED Data Repository: Individual Appliance Monitoring System

description: The dataset deposited here was prepared under the EPSRC-funded Humanitarian Engineering and Energy for Displacement research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. As part of the project, we deployed an Individual Appliance Monitoring (IAM) System in the Uttargaya settlement in Nepal. The Individual Appliance Monitoring System provides a simple, cost-effective and unobtrusive method of collecting data on the energy usage of connected appliances with the aim to: Evaluate energy consumption of different appliances and Evaluate usage patterns for different appliances. The monitoring system comprises of 2 types of devices – Energenie MiHome Smart Plugs MIHO005 (i.e. Individual Appliance Monitors (IAM)) to sense data relating to power and voltage drawn by the connected appliance, and gateway nodes to collect data from IAM. The unit cost of a MIHO005 adaptor and Raspberry Pi-based gateway is £34.99 and £74.17 respectively. The main component of the gateway node is a Raspberry Pi fitted with an Energenie ENER314-RT (receiver-transmitter) add-on board to allow the Pi to communicate with the smart plugs. The data collected by the gateway is stored locally in an SD card as well as sent to the heed-data server hosted in Coventry University. Post Deployment Challenges: · <strong>Power outages:</strong> These are common in the camp. Data is lost during this time as the devices have no access to power. · <strong>Internet connectivity: </strong>The availability and reliability of Wi-Fi continue to be an issue for the transmission of data to heed-data server.
DOI: 10.5281/zenodo.4271714
title: EPSRC HEED Data Repository: Individual Appliance Monitoring System

description: The dataset deposited here was prepared under the EPSRC-funded Humanitarian Engineering and Energy for Displacement research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. As part of the project, we deployed an Individual Appliance Monitoring (IAM) System in the Uttargaya settlement in Nepal. The Individual Appliance Monitoring System provides a simple, cost-effective and unobtrusive method of collecting data on the energy usage of connected appliances with the aim to: Evaluate energy consumption of different appliances and Evaluate usage patterns for different appliances. The monitoring system comprises of 2 types of devices – Energenie MiHome Smart Plugs MIHO005 (i.e. Individual Appliance Monitors (IAM)) to sense data relating to power and voltage drawn by the connected appliance, and gateway nodes to collect data from IAM. The unit cost of a MIHO005 adaptor and Raspberry Pi-based gateway is £34.99 and £74.17 respectively. The main component of the gateway node is a Raspberry Pi fitted with an Energenie ENER314-RT (receiver-transmitter) add-on board to allow the Pi to communicate with the smart plugs. The data collected by the gateway is stored locally in an SD card as well as sent to the heed-data server hosted in Coventry University. Post Deployment Challenges: · <strong>Power outages:</strong> These are common in the camp. Data is lost during this time as the devices have no access to power. · <strong>Internet connectivity: </strong>The availability and reliability of Wi-Fi continue to be an issue for the transmission of data to heed-data server.
DOI: 10.5281/zenodo.4271575
title: HGSVC2 full eQTL results

description: Full summary statistics of the eQTL mapping performed on the GEUVADIS and deep 1000GP RNA-sequencing samples presented in the: "Structural variation characterization from the de novo assembly of 64 haplotype-resolved human genomes of diverse ancestry" paper.
DOI: 10.20375/0000-000d-d766-e
title: Dataset Documentation - Zakharov.pdf
DOI: 10.20375/0000-000d-d765-f
title: Dataset Documentation - Zakharov.pdf
DOI: 10.20375/0000-000d-d768-c
title: DiscussData_Metadata_Zakharov.pdf
DOI: 10.20375/0000-000d-d767-d
title: DiscussData_Metadata_Zakharov.pdf
DOI: 10.20375/0000-000d-d76a-a
title: Regional Corruption in Russia.xls
DOI: 10.20375/0000-000d-d769-b
title: Regional Corruption in Russia.xls
DOI: 10.48320/3d9f5ed2-805a-469c-800b-2c7ad4453a8a
title: Corruption in Russia: Bribe-Taking in Russian Regions in 2004-2012
DOI: 10.5281/zenodo.4271592
title: Diffraction data for ammonium arsenites published in CrystEngComm

description: Diffraction data for: ammonium arsenite ethylenediammonium arsenite benzylammonium arsenite methylammonium arsenite hydrate ethanolamonnium arsenite
DOI: 10.5281/zenodo.4271689
title: Diffraction data for CCDC 1949980–1949982

description: Diffraction data for: 10-hexyl-1-(10H-phenoxazin-10-yl)acridin-9(10H)-one 10-hexyl-2-(10H-phenoxazin-10-yl)acridin-9(10H)-one 10-hexyl-3-(10H-phenoxazin-10-yl)acridin-9(10H)-one
description: funded by National Science Centre, Poland (NCN, Grant No. 2015/17/B/ST5/00179)
DOI: 10.5281/zenodo.4271591
title: Diffraction data for ammonium arsenites published in CrystEngComm

description: Diffraction data for: ammonium arsenite ethylenediammonium arsenite benzylammonium arsenite methylammonium arsenite hydrate ethanolamonnium arsenite
DOI: 10.5281/zenodo.4271688
title: Diffraction data for CCDC 1949980–1949982

description: Diffraction data for: 10-hexyl-1-(10H-phenoxazin-10-yl)acridin-9(10H)-one 10-hexyl-2-(10H-phenoxazin-10-yl)acridin-9(10H)-one 10-hexyl-3-(10H-phenoxazin-10-yl)acridin-9(10H)-one
description: funded by National Science Centre, Poland (NCN, Grant No. 2015/17/B/ST5/00179)
DOI: 10.6084/m9.figshare.13224716
title: File S1

description: Polished metagenome assembly from a water sample of a harmful algal bloom taken at Taughannock Falls State Park, Cayuga Lake, NY on 15 July 2019. <br>
DOI: 10.6084/m9.figshare.13224716.v1
title: File S1

description: Polished metagenome assembly from a water sample of a harmful algal bloom taken at Taughannock Falls State Park, Cayuga Lake, NY on 15 July 2019. <br>
DOI: 10.6084/m9.figshare.13225268
title: File S4

description: Taxonomic annotations for harmful algal bloom metagenome<br>
DOI: 10.6084/m9.figshare.13225268.v1
title: File S4

description: Taxonomic annotations for harmful algal bloom metagenome<br>
DOI: 10.6084/m9.figshare.13224890
title: File S3

description: Protein sequences of genes predicted by MetaGeneMark for harmful algal bloom metagenome. <br>
DOI: 10.6084/m9.figshare.13224764
title: File S2

description: GFF annotation file of genes predicted by MetaGeneMark (Besemer and Borodovsky 1999, Zhu et al. 2010) in the metagenome of a harmful algal bloom collected from Cayuga Lake, Taughannock Falls State Park, NY.
DOI: 10.6084/m9.figshare.13224764.v1
title: File S2

description: GFF annotation file of genes predicted by MetaGeneMark (Besemer and Borodovsky 1999, Zhu et al. 2010) in the metagenome of a harmful algal bloom collected from Cayuga Lake, Taughannock Falls State Park, NY.
DOI: 10.6084/m9.figshare.13224890.v1
title: File S3

description: Protein sequences of genes predicted by MetaGeneMark for harmful algal bloom metagenome. <br>
DOI: 10.6084/m9.figshare.13235075.v1
title: fig2ab.mat

description: Source data of speckle intensity (OCI) and motility (MCI) demonstrated in Fig. 2 a and b. <br>CC BY-NC-ND<br>
DOI: 10.6084/m9.figshare.13235075
title: fig2ab.mat

description: Source data of speckle intensity (OCI) and motility (MCI) demonstrated in Fig. 2 a and b. <br>CC BY-NC-ND<br>
DOI: 10.5281/zenodo.4271731
title: EPSRC HEED Data Repository: Footfall Monitoring System

description: The dataset deposited here was prepared under the EPSRC-funded Humanitarian Engineering and Energy for Displacement research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. As part of the project, we deployed a Footfall Monitoring System in the Uttargaya settlement in Nepal. Footfall monitors are designed to measure the step count of passers-by with the aim to: Evaluate the level of activity in an area by measuring footfall count and Evaluate the effect of streetlights on the level of activity. For the purpose of this study, the 7 footfall monitors are deployed beside 7 streetlights. The footfall monitors were deployed prior to commissioning of streetlights to gather baseline data and evaluate the impact of streetlights on the footfall count. The key constituents of footfall monitors are: Raspberry Pi 3B and Case; PiFace Real Time Clock and CAM008 70º night vision camera. The total cost of a monitor is £92.88. The Raspberry Pi is the central unit of the system that runs a program to sense the footfall count as measured by the IR sensor. The IR sensor counts footfall by tracking the number of times a horizontal beam of light is “broken” when a person crosses a threshold. If new data is recorded by the sensor, the updated footfall count along with the direction of movement and the current time (measured from PiFace RTC) is stored onto an SD card. A packet containing the updated values is also transmitted to the heed-data server hosted at Coventry University. Post Deployment Challenges: <strong>Damage to footfall</strong>: In April 2019, footfall monitor 7 was damaged due to a gust of storm and heavy rains in the camp. This monitor was replaced in May 2019. <strong>Power outages:</strong> These are common in the camp. Data is lost during this time as the devices have no access to power. <strong>Internet connectivity: </strong>The availability and reliability of Wi-Fi continue to be an issue for the transmission of data to heed-data server.
DOI: 10.5281/zenodo.4271730
title: EPSRC HEED Data Repository: Footfall Monitoring System

description: The dataset deposited here was prepared under the EPSRC-funded Humanitarian Engineering and Energy for Displacement research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. As part of the project, we deployed a Footfall Monitoring System in the Uttargaya settlement in Nepal. Footfall monitors are designed to measure the step count of passers-by with the aim to: Evaluate the level of activity in an area by measuring footfall count and Evaluate the effect of streetlights on the level of activity. For the purpose of this study, the 7 footfall monitors are deployed beside 7 streetlights. The footfall monitors were deployed prior to commissioning of streetlights to gather baseline data and evaluate the impact of streetlights on the footfall count. The key constituents of footfall monitors are: Raspberry Pi 3B and Case; PiFace Real Time Clock and CAM008 70º night vision camera. The total cost of a monitor is £92.88. The Raspberry Pi is the central unit of the system that runs a program to sense the footfall count as measured by the IR sensor. The IR sensor counts footfall by tracking the number of times a horizontal beam of light is “broken” when a person crosses a threshold. If new data is recorded by the sensor, the updated footfall count along with the direction of movement and the current time (measured from PiFace RTC) is stored onto an SD card. A packet containing the updated values is also transmitted to the heed-data server hosted at Coventry University. Post Deployment Challenges: <strong>Damage to footfall</strong>: In April 2019, footfall monitor 7 was damaged due to a gust of storm and heavy rains in the camp. This monitor was replaced in May 2019. <strong>Power outages:</strong> These are common in the camp. Data is lost during this time as the devices have no access to power. <strong>Internet connectivity: </strong>The availability and reliability of Wi-Fi continue to be an issue for the transmission of data to heed-data server.
DOI: 10.15468/k3eu63
title: Four new Cyclopina (Copepoda, Cyclopinidae) from South Korea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Karanovic, Tomislav (2020): Four new Cyclopina (Copepoda, Cyclopinidae) from South Korea. ZooKeys 992: 59-104, DOI: http://dx.doi.org/10.3897/zookeys.992.54856, URL: http://dx.doi.org/10.3897/zookeys.992.54856
DOI: 10.15468/w6y7y8
title: Monopis jussii, a new species (Lepidoptera, Tineidae) inhabiting nests of the Boreal owl (Aegolius funereus)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mutanen, Marko, Huemer, Peter, Autto, Jonna, Karsholt, Ole, Kaila, Lauri (2020): Monopis jussii, a new species (Lepidoptera, Tineidae) inhabiting nests of the Boreal owl (Aegolius funereus). ZooKeys 992: 157-181, DOI: http://dx.doi.org/10.3897/zookeys.992.53975, URL: http://dx.doi.org/10.3897/zookeys.992.53975
DOI: 10.15468/hxhnuc
title: To name but a few: descriptions of five new species of Terebellides (Annelida, Trichobranchidae) from the North East Atlantic

description: This dataset contains the digitized treatments in Plazi based on the original journal article Parapar, Julio, Capa, Maria, Nygren, Arne, Moreira, Juan (2020): To name but a few: descriptions of five new species of Terebellides (Annelida, Trichobranchidae) from the North East Atlantic. ZooKeys 992: 1-58, DOI: http://dx.doi.org/10.3897/zookeys.992.55977, URL: http://dx.doi.org/10.3897/zookeys.992.55977
DOI: 10.15468/7aw7dn
title: Contribution to the knowledge of Neanurinae of north-western Iran with description of seven new species (Collembola, Neanuridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Smolis, Adrian, Skarzynski, Dariusz (2020): Contribution to the knowledge of Neanurinae of north-western Iran with description of seven new species (Collembola, Neanuridae). ZooKeys 992: 105-138, DOI: http://dx.doi.org/10.3897/zookeys.992.56921, URL: http://dx.doi.org/10.3897/zookeys.992.56921
DOI: 10.6084/m9.figshare.13235093
title: Testing methods of linguistic homeland detection

description: Electronic supporting material for 'Testing methods of linguistic homeland detection using synthetic data'
DOI: 10.6084/m9.figshare.13235093.v1
title: Testing methods of linguistic homeland detection

description: Electronic supporting material for 'Testing methods of linguistic homeland detection using synthetic data'
DOI: 10.5281/zenodo.4271735
title: Diffraction data for CCDC 1970365

description: Diffraction data for 1,1;1',1';1'',1''-bis({pyridine-2,4,6-triyltris[(4,1-phenylene)iminomethyl]})tris(ferrocene) unknown solvate (probably benzene solvate)
DOI: 10.5281/zenodo.4271734
title: Diffraction data for CCDC 1970365

description: Diffraction data for 1,1;1',1';1'',1''-bis({pyridine-2,4,6-triyltris[(4,1-phenylene)iminomethyl]})tris(ferrocene) unknown solvate (probably benzene solvate)
DOI: 10.5281/zenodo.4271768
title: Diffraction data for CCDC 2004930

description: Diffraction data for CCDC 2004930
DOI: 10.5281/zenodo.4271767
title: Diffraction data for CCDC 2004930

description: Diffraction data for CCDC 2004930
DOI: 10.6084/m9.figshare.12931372
title: Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere: Raw reads

description: QIIME2 reads files for each study that is included in the meta-analysis presented in "Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere", published in The ISME Journal (https://www.nature.com/articles/s41396-020-00814-9)
DOI: 10.6084/m9.figshare.12931372.v11
title: Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere: Raw reads

description: QIIME2 reads files for each study that is included in the meta-analysis presented in "Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere", published in The ISME Journal (https://www.nature.com/articles/s41396-020-00814-9)
DOI: 10.6084/m9.figshare.12931372.v10
title: Raw reads for all studies used in the Plastisphere meta-analysis

description: Raw QIIME2 reads files for each study that is included in the meta-analysis presented in "Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere"
DOI: 10.21227/64h0-p517
title: Data Alchemist

description: Domestic power consumption depends largely on use of household appliances. Appliances having moving mechanical parts (like motors in washing machines and compressors in refrigerators and air conditioners) and which involve heating (like heaters, electric ironing machines, water geysers, etc.) consume more electricity than electronics (like Televisions, LED lights, etc.). Energy ratings and age of these appliances, residential wiring age and quality, home insulation, natural light within the house further influence energy consumption considerably. It is generally observed that climate changes (humidity and temperature) have a strong correlation with domestic electricity consumption. However, it is also subject to unprecedented and unexpected situations like COVID 19. Due to lack of substantial appliances related data across all households, we considered weather data as the major contributor to consumption. While daily temperature (max, min, avg) might be fed to the machine-learning model to get a consumption figure, the challenge requires to predict energy use for the entire succeeding year, for which daily temperatures are neither available, nor can they be calculated, derived or predicted. Previous day’s consumption also helps in predicting it for current day. We assumed that while actual temperature and consumption might vary in the succeeding year, the variation (seasonality and trend) in maximum, minimum and average temperature, along with the daily change in consumption would remain similar and follow the same pattern. To even out the sudden spikes in consumption for a particular day, we have considered 7 days’ moving average of energy consumption, along with the daily variation in the moving average. Use of appliances, newer appliances in households, unexpected situations like COVID 19 can’t be predicted, and hence haven’t been accounted for in the model.
DOI: 10.5285/e7c81b2d-2dcc-4a36-8c4e-11dee4e48007
title: Radon potential for Great Britain version 2.1

description: Radon is a natural radioactive gas, which enters buildings from the ground.  The joint Public Health England (PHE) –British Geological Survey (BGS) digital dataset Radon Potential for Great Britain provides the current definitive map of radon Affected Areas in Great Britain. Exposure to high concentrations increases the risk of lung cancer. PHE (previously known as the Health Protection Agency or HPA) recommends that radon levels should be reduced in homes where the annual average is at or above 200 becquerels per cubic metre (200 Bq m-3). This is termed the Action Level. The PHE defines radon Affected Areas as those with 1% chance or more of a house having a radon concentration at or above the Action Level of 200 Bq m-3.
The dataset allows an estimate to be made of the probability that an individual property is at or above the Action Level for radon. This information provides an answer to one of the standard legal enquiries on house purchase in England and Wales, known as CON29 standard Enquiry of Local Authority; 3.13 Radon Gas: Location of the Property in a Radon Affected Area. Radon Potential for Great Britain also provides information on the level of protection required for new dwellings as described in the latest Building Research Establishment guidance on radon protective measures for new buildings (Radon: guidance on protective measures for new buildings; BR 211, 2015 in Scotland, England, Wales and Northern Ireland). This radon potential hazard information for Great Britain is based on PHE indoor radon measurements and BGS digital geology information. This product was derived from BGS Geology 50 (formerly known as DigMap50 V3.14) and PHE in-house radon measurement data. The indoor radon data is used with the agreement of the PHE. Confidentiality of measurement locations is maintained through data management practices. Access to the data is under licence.
DOI: 10.5281/zenodo.4243834
title: Data and R code for: Tariel J., Plénet S., and Luquet É. (2020). How do developmental and parental exposures to predation affect personality and immediate behavioural plasticity in the snail Physa acuta?

description: Data and R code of the article: Tariel J., Plénet S., and Luquet É. (2020) How do developmental and parental exposures to predation affect personality and immediate behavioural plasticity in the snail <em>Physa acuta</em>? doi:10.1098/rspb.2020.1761 The dataset is provided (<em>data -Tariel, Plénet and Luquet (2020).csv</em>). This dataset is analyzed in the R script (<em>Juliette Tariel - R analysis.Rmd</em>). A knitted version of the R script is also provided in pdf format (<em>Juliette Tariel - R analysis.pdf</em>). Finally, a zip file is provided and contains several outputs, such as MCMCglmm objects or confint objects (<em>R outputs used in the analysis.zip</em>) <strong>Signification of variables names:</strong> ID: snail's identification number ID Family: identification number of the family of the F2 snail ID F1 mother: identification number of the mother of the F2 snail ID F1 father: identification number of the father of the F2 snail ID F0 grand-mother: identification number of the grand-mother of the F2 snail ID F0 grand-father: identification number of the grand-fathrt of the F2 snail Mass: total wet mass (body and shell) in grams Parental: parental environment (control C or predator-cue P) Developmental: developmental environment (C or P) Immediate: immediate environment (C or P) Trial_number Time: time to crawl-out of the water in seconds
DOI: 10.6084/m9.figshare.12227522
title: Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere: QIIME2 output and intermediates

description: All files created by QIIME2 analysis after the merging of files for individual studies. Further details can be found at: https://github.com/R-Wright-1/Plastisphere-MetaAnalysisThese are all intermediate files for the meta-analysis presented in "Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere", published in The ISME Journal (https://www.nature.com/articles/s41396-020-00814-9)