cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4138536
title: Plant-mediated interactions between Tetranychus evansi and T. urticae spider mites - suppression test 4.

description: We infested all leaflets of the 3<sup>rd</sup> leaf of 29-days old tomato plants (<i>Solanum lycopersicum</i> var Castlemart) with spider mites in three treatments: (1) 20 two to four days old adult <i>Tetranychus evansi</i> Viçosa-1 females, (2) 10 two to four days old adult <i>Tetranychus urticae</i> Santpoort-2 females, or (3) no infestation. These treatments lasted two days, after which we removed mites, eggs and web, and cut up to 10 leaf discs per plant from the previously infested leaflets. Then, we placed two to four days old adult <i>Tetranychus evansi</i> Viçosa-1 females individually on each leaf disc, and counted the number of eggs of each leaf disc after four days. These experiments were carried out in a climate room (25°C, 16 : 8 h light : dark, 60% RH).
DOI: 10.6084/m9.figshare.4138566.v1
title: Grassland Soil Invertebrates

description: This data is from an independent proposal that investigated the diversity of soil invertebrates found in grasslands on the NECC Haverhill campus. Soil moisture and invertebrate variety was the focus of this proposal. It was thought that closer to the marsh the grassland would have moister soil and more invertebrates than further up the hill. We compared the effects that the soil moisture and the ground cover around the 18 samples that were taken. In this investigation, we set up two transects that would cover most all plant species in the grasslands. Each transect had 9 soil samples taken, the transects started at the marsh in the grassland and continued uphill. Plant samples were collected and identified, ground cover percentage and density of each plant was also taken into account for each area surrounding the soil samples. Every sample of soil was sifted through and all invertebrates were collected, identified and quantified. Water content was also measured using a small portion of each sample, the moist samples were weighed and then left to dry to be weighed again.
DOI: 10.7910/dvn/v1rjpf/aqex4z
title: cbb20171205_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4138536.v1
title: Plant-mediated interactions between Tetranychus evansi and T. urticae spider mites - suppression test 4.

description: We infested all leaflets of the 3<sup>rd</sup> leaf of 29-days old tomato plants (<i>Solanum lycopersicum</i> var Castlemart) with spider mites in three treatments: (1) 20 two to four days old adult <i>Tetranychus evansi</i> Viçosa-1 females, (2) 10 two to four days old adult <i>Tetranychus urticae</i> Santpoort-2 females, or (3) no infestation. These treatments lasted two days, after which we removed mites, eggs and web, and cut up to 10 leaf discs per plant from the previously infested leaflets. Then, we placed two to four days old adult <i>Tetranychus evansi</i> Viçosa-1 females individually on each leaf disc, and counted the number of eggs of each leaf disc after four days. These experiments were carried out in a climate room (25°C, 16 : 8 h light : dark, 60% RH).
DOI: 10.6084/m9.figshare.4138422
title: Plant-mediated interactions between Tetranychus evansi and T. urticae spider mites - suppression test 3.

description: We infested all leaflets of the 3<sup>rd</sup> leaf of 28-days old tomato plants (<i>Solanum lycopersicum</i> var Santa Clara) with spider mites in three treatments: (1) 20 two to four days old adult <i>Tetranychus evansi</i> Viçosa-1 females, (2) 10 two to four days old adult <i>Tetranychus urticae</i> Santpoort-2 females, or (3) no infestation. These treatments lasted two days, after which we removed mites, eggs and web, and cut up to 10 leaf discs per plant from the previously infested leaflets. Then, we placed two to four days old adult <i>Tetranychus evansi</i> Viçosa-1 females individually on each leaf disc, and counted the number of eggs of each leaf disc after two and five days. These experiments were carried out in a greenhouse.
DOI: 10.7910/dvn/v1rjpf/g172kr
title: cbb20171030_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/bximef
title: cbb20170925_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/s1q2vn
title: cbb20171226_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/mggslv
title: cbb20170805_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/tn5r28
title: cbb20170915_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/zrwzp9
title: cbb20171020_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4135554
title: Feasibility of the IoT for domestic refrigerators, food safety and waste

description: <strong>Feasibility of the IoT for domestic refrigerators, food safety and waste </strong>Led by: The <strong>University of Lincoln</strong>With partners: Tesco plc, Food Refrigeration and Process Engineering Research Centre (FRPERC), Grimsby Institute of Further and Higher Education (http://www.grimsby.ac.uk/)Project lead: Simon Pearson, Principal Lecturer in Agricultural TechnologyHe has a background in research and industry and has a good understanding of academic, industrial and consumer-facing issues associated with food.<strong>Overview</strong>This is a multi-disciplinary project combining the food quality and refrigeration expertise of the National Centre for Food Manufacturing (University of Lincoln) and the Food Refrigeration and Process Engineering Research Centre, Grimsby Institute. A data logger will be provided to 200 Tesco consumer panellists to record the temperature performance of their refrigerators over 14 days. Sensors will be positioned to capture behaviour patterns such as loading un-chilled food and frequency of door opening etc. Panellists will also record food purchases and disposal as waste including dates. This is one of the most significant studies of its kind for the last twenty years and results will be compared with similar domestic fridges measured in laboratory conditions.In parallel with this an app will be developed to explore how IoT technology combined with official guidance and recommendations can help support consumers in more efficient use of their fridges both in terms of food safety but also energy efficiency in the home. It is anticipated that the results of this work could help provide insight into the development of smarter fridges in the future as well as reducing food waste through more efficient management of food storage in the home.
DOI: 10.6084/m9.figshare.4135377
title: Into the Garden: the power of IoT for local food producing communities

description: <strong>Into the Garden: the power of IoT for local food producing communities</strong>Led by the <strong>University of Nottingham</strong>With partners: Royal College of Art (RCA); Barracks Lane; Brighton and Hove Allotment Federation; Community Composting Network, The Guardian; Hammersmith Community Gardens; Royal Botanic Gardens, Kew; St. Anns Allotments; Wireless Things; The National Allotment Society; Plumpton College; Incredible Edible Todmorden; The Victoria and Albert Museum; Writtle CollegeProject lead: Prof. Derek McAuley, Professor of Digital EconomyHis research concerns the impact on systems infrastructure of human centred design, including architectures that make comprehensible the privacy and sharing aspects of the underlying information flows.<strong>Overview</strong>This project brings together a range of partners interested in the transformative power of Internet of Things (IoT) with data sharing as a utility for local communities of food producers. The project supports FSA’s remit to uphold food safety within local growing communities, and to gather evidence on growing environments. The project will run some ideation workshops to focus the expertise of interdisciplinary researchers, IoT manufacturers and growing organisations on socio-technical solutions to realize this transformative power, and also develop a technology demonstrator based on the outputs of the workshops.The project addresses the lack of understanding about how IoT can be interacted with to extract human-actionable meaning – and so transition to Intelligent Information Infrastructure (I3) – across ad hoc data sharing communities.To identify IoT opportunities within the FSA remit, the team will work with local food growers from across the UK and key network partners including educators, regulators and press.The methodology leverages the power of open design by enabling growers to configure IoT technology kits and infrastructures to meet the needs of their community; and as a consequence the community will have the capacity to engage in citizen science, gathering and sharing data that improves the accountability of local-produced food.This short project increases public engagement with IoT and I3 research by putting technologies directly into hands of under-explored market segments. It also has an initial impact on culture and practices of the community into which we place the demonstrator, potentially informing their own day-to-day data gathering and response mechanisms.More broadly, pervasive environmental monitoring will benefit regional and national decision makers (such as FSA) by providing greater insights into the build-up of pollutants in local growing ecosystems, as well as the effects of climate change and changes in biodiversity patterns.
DOI: 10.7910/dvn/v1rjpf/vptbxb
title: cbb20171202_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/v1x7mr
title: cbb20170216_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4135200
title: IoT applications for data tagging the long-life sandwich cold chain:

description: <strong>IoT applications for data tagging the long-life sandwich cold chain: </strong>Led by: <strong>University of Birmingham</strong>With partners: ScoreSafe Ltd, Participating Food BusinessesProject lead: Madeleine Smith, Senior Teaching Fellow, Chemical Engineering<strong>Overview</strong>Project aims:To monitor the integrity of long-life sandwiches in the cold chain and validate their temperature maintenance in transportation and distribution areas using an automated monitoring system with cloud based data storage (the Scoresafe system).To assess the hygiene practices during circulating the long-life sandwiches within cold chain.The project will monitor the temperature of long-life sandwiches and assess hygiene practices during the circulation of the sandwiches in the local cold chain. Low temperature control of chilled foods is crucial to achieve safe and high quality goods. Temperature abuse leads to proliferation of spoilage and pathogenic microbes which can put temperature sensitive foods at risk of causing food borne diseases or producing undesirable characteristics. Additionally, the poor hygiene practices in making up and distributing chilled foods may increase their microbial loads adversely affecting shelf life.The tiny tag data loggers have been proven to be effective and accurate in logging food temperatures (rather than air temperatures) and can be programmed to record at regular intervals over a long period of time.The Scoresafe hygiene software is bespoke software for use on any android device which has been designed by the UoB and ScoreSafe to monitor CCP’s and automatically store the results on the cloud. This allows real time access to the data by anyone with the authority to access it.The sandwiches will be attached with tiny tag temperature data recorders (TG4080) to monitor their temperature remotely. These recorders are programmed to report all temperature readings during chilled transport and distribution where the sandwiches are most often exposed to temperature abuse. The cold chain scope starts at the manufacture and ends at sale to the final consumer.Anticipated impact:It improves monitoring and control of chilled foods temperature at transit and distribution as most tracking systems of refrigerated foods monitor only a set pointProvide food companies and local authorities with ongoing quantitative data on validation of expiry date during the shelf life of chilled products. This contributes to reducing food loss resulting from spoiled and unsafe products and protects public health by ensuring correct storage during the time the food is placed on the market.Accumulated data can be stored and modeled in database, and used by Food Standard Agency and food industry as a reference to improve more efficient refrigeration systems.
DOI: 10.6084/m9.figshare.4135377.v1
title: Into the Garden: the power of IoT for local food producing communities

description: <strong>Into the Garden: the power of IoT for local food producing communities</strong>Led by the <strong>University of Nottingham</strong>With partners: Royal College of Art (RCA); Barracks Lane; Brighton and Hove Allotment Federation; Community Composting Network, The Guardian; Hammersmith Community Gardens; Royal Botanic Gardens, Kew; St. Anns Allotments; Wireless Things; The National Allotment Society; Plumpton College; Incredible Edible Todmorden; The Victoria and Albert Museum; Writtle CollegeProject lead: Prof. Derek McAuley, Professor of Digital EconomyHis research concerns the impact on systems infrastructure of human centred design, including architectures that make comprehensible the privacy and sharing aspects of the underlying information flows.<strong>Overview</strong>This project brings together a range of partners interested in the transformative power of Internet of Things (IoT) with data sharing as a utility for local communities of food producers. The project supports FSA’s remit to uphold food safety within local growing communities, and to gather evidence on growing environments. The project will run some ideation workshops to focus the expertise of interdisciplinary researchers, IoT manufacturers and growing organisations on socio-technical solutions to realize this transformative power, and also develop a technology demonstrator based on the outputs of the workshops.The project addresses the lack of understanding about how IoT can be interacted with to extract human-actionable meaning – and so transition to Intelligent Information Infrastructure (I3) – across ad hoc data sharing communities.To identify IoT opportunities within the FSA remit, the team will work with local food growers from across the UK and key network partners including educators, regulators and press.The methodology leverages the power of open design by enabling growers to configure IoT technology kits and infrastructures to meet the needs of their community; and as a consequence the community will have the capacity to engage in citizen science, gathering and sharing data that improves the accountability of local-produced food.This short project increases public engagement with IoT and I3 research by putting technologies directly into hands of under-explored market segments. It also has an initial impact on culture and practices of the community into which we place the demonstrator, potentially informing their own day-to-day data gathering and response mechanisms.More broadly, pervasive environmental monitoring will benefit regional and national decision makers (such as FSA) by providing greater insights into the build-up of pollutants in local growing ecosystems, as well as the effects of climate change and changes in biodiversity patterns.
DOI: 10.7910/dvn/v1rjpf/p5dwub
title: cbb20170111_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4133469
title: Transmission_data.xlsx

description: Data on transmission of CCapSV, DImmSV and PAegRV
DOI: 10.6084/m9.figshare.4133469.v1
title: Transmission_data.xlsx

description: Data on transmission of CCapSV, DImmSV and PAegRV
DOI: 10.7910/dvn/v1rjpf/1nr9nm
title: cbb20170610_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/s0lwof
title: cbb20170113_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4131375
title: Data extract for numerical model experiments on predictability

description: Extracts of seasonal forecasting model simulations in an experimental setting to assess the sensitivity to options about model set-up: stratosphere and sea-ice.<br>
DOI: 10.7910/dvn/v1rjpf/4e1uop
title: cbb20170823_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4131375.v2
title: Data extract for numerical model experiments on predictability

description: Extracts of seasonal forecasting model simulations in an experimental setting to assess the sensitivity to options about model set-up: stratosphere and sea-ice.<br>
DOI: 10.6084/m9.figshare.4131375.v1
title: New draft item

description: Extracts of seasonal forecasting model simulations in an experimental setting to assess the sensitivity to options about model set-up: stratosphere and sea-ice.<br>
DOI: 10.7910/dvn/v1rjpf/9orp9w
title: cbb20170705_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/pneruu
title: cbb20170303_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129659
title: crowdsourcing raw material for an allergy risk study (in Japanese)

description: crowdsourcing raw material for an allergy risk study (in Japanese)
DOI: 10.7910/dvn/v1rjpf/zvutxy
title: cbb20170620_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129659.v1
title: crowdsourcing raw material for an allergy risk study (in Japanese)

description: crowdsourcing raw material for an allergy risk study (in Japanese)
DOI: 10.7910/dvn/v1rjpf/tog268
title: cbb20170417_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/cf8ozo
title: cbb20171117_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/nynryn
title: cbb20170508_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/dff7sd
title: cbb20170301_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/tm1fep
title: cbb20170428_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/wb6wab
title: cbb20170623_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129080
title: Isidorella transcriptomic data for review

description: This folder has the data for reviewers of the RNA-seq paper for <i>Isidorella newcombi </i>exposed to copper. It contains: - the raw data for each each of the treatment replicates (Labelled A1_1 to B3_2) saved as fq files, - alignment data (saved as: All-unigene FA File, and,
DOI: 10.7910/dvn/v1rjpf/8wij2r
title: cbb20170419_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/9swuka
title: cbb20171026_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/mmd2yx
title: cbb20171112_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129068
title: Vinylene-Linked Oligothiophene−Difluorobenzothiadiazole Co-polymer for Transistor Applications

description: Data for figures found in publication "Vinylene-Linked Oligothiophene−Difluorobenzothiadiazole Co-polymer for Transistor Applications"<br><br>
DOI: 10.7910/dvn/v1rjpf/kymxxo
title: cbb20170406_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129068.v1
title: Vinylene-Linked Oligothiophene−Difluorobenzothiadiazole Co-polymer for Transistor Applications

description: Data for figures found in publication "Vinylene-Linked Oligothiophene−Difluorobenzothiadiazole Co-polymer for Transistor Applications"<br><br>
DOI: 10.7910/dvn/v1rjpf/wx7qrq
title: cbb20170518_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/udmcy3
title: cbb20170930_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129044
title: WiseEye Trials - Day 3

description: The data set contains images for day 3 of camera trap trials and Excel worksheet for WiseEye camera.
DOI: 10.7910/dvn/v1rjpf/jmqa5l
title: cbb20171227_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129041
title: WiseEye Trials - Day 2

description: The data set contains images for day 2 of camera trap trials and Excel worksheet for WiseEye camera.
DOI: 10.6084/m9.figshare.4129041.v1
title: WiseEye Trials - Day 2

description: The data set contains images for day 2 of camera trap trials and Excel worksheet for WiseEye camera.
DOI: 10.7910/dvn/v1rjpf/yi91xk
title: cbb20170315_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129032
title: Recurrence after successful treatment of multidrug-resistant tuberculosis in Taiwan

description: This dataset includes 295 MDR-TB patients from a national cohort who achieved treatment success during May 2007 --- December 2010 in Taiwan. Outcome variables including death and MDR-TB recurrence as of September 2014 are also included.
DOI: 10.7910/dvn/v1rjpf/eeigln
title: cbb20170103_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4129029
title: WiseEye Trials- Day 1

description: The data set contains images for day 1 of camera trap trials and Excel worksheet for WiseEye camera.
DOI: 10.6084/m9.figshare.4129032.v2
title: Recurrence after successful treatment of multidrug-resistant tuberculosis in Taiwan

description: This dataset includes 295 MDR-TB patients from a national cohort who achieved treatment success during May 2007 --- December 2010 in Taiwan. Outcome variables including death and MDR-TB recurrence as of September 2014 are also included.
DOI: 10.6084/m9.figshare.4129032.v1
title: Recurrence after successful treatment of multidrug-resistant tuberculosis in Taiwan

description: This dataset includes 295 MDR-TB patients from a national cohort who achieved treatment success during May 2007 --- December 2010 in Taiwan. Outcome variables including death and MDR-TB recurrence as of September 2014 are also included.
DOI: 10.6084/m9.figshare.4129029.v1
title: WiseEye Trials- Day 1

description: The data set contains images for day 1 of camera trap trials and Excel worksheet for WiseEye camera.
DOI: 10.7910/dvn/v1rjpf/m7zu6l
title: cbb20170926_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/obqggl
title: cbb20170521_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4128930
title: Survey instrument for survey of mathematical publishing

description: Annotated survey instrument to indicate variables
DOI: 10.7910/dvn/v1rjpf/ivdrxg
title: cbb20170316_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4128930.v1
title: Survey instrument for survey of mathematical publishing

description: Annotated survey instrument to indicate variables
DOI: 10.6084/m9.figshare.4128909
title: Data documenting redactions extracted from ASIO surveillance records in National Archives of Australia Series A6119

description: This dataset documents a collection of 239,571 redactions (blacked out words and phrases) extracted from surveillance files created by the Australian Security Intelligence Organisation (ASIO) and held in Series A6119 at the National Archives of Australia.<br>The image files themselves are available in the linked fileset.<br>The fields in the CSV file are:<br><b>image </b>-- file name of the extracted image<b>barcode</b> -- barcode (identifier) of the file from which the redactions was extracted<b>page</b> -- number of the page from which the redaction was extracted<b>index</b> -- sequential index identifying an individual redaction on a page<b>series</b> -- series containing the file in the NAA<b>control_symbol</b> -- control symbol for the file in the NAA<b>title</b> -- title of the file in the NAA<b>width</b> -- width of the image in pixels<b>height</b> -- height of the image in pixels<b>position</b> -- coordinates of a bounding box around the image relative to the parent page (x, y, width, height)<b>area</b> -- area in pixels of the original redaction contour (as calculated by OpenCV)
DOI: 10.7910/dvn/v1rjpf/559vk2
title: cbb20170507_03.txt.gz

description: :unav