cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21205777
title: Supporting data for the study from Effects of social and environmental contexts on multi-male mating and mixed paternity in socially monogamous female prairie voles

description: With whom and how often to mate are fundamental questions that impact individual reproductive success and the mating system. Relatively few studies have investigated female mating tactics compared to males. Here, we asked how differential access to mates influences the occurrence of mixed paternity and overall reproductive success in socially monogamous female prairie voles (<i>Microtus ochrogaster</i>). We created male- and female-biased sex ratios of prairie voles living in semi-natural outdoor enclosures. We ran paternity analyses to determine the identity and number of mating partners females had and the number of offspring produced. We found that 57.1% of females had litters fathered by two or more males when males outnumbered females, and 87.5% of females had litters with more than one father when females outnumbered males. However, the percentage of mixed paternity and the total number of embryos were not statistically different between social contexts. We determined that female fecundity (i.e. number of embryos) correlated with the number of male fathers in each litter across social contexts. Although our study did not support the hypothesis that social context directly influences female mating decisions, it did suggest that female multi-male mating might lead to increased fertilization success under semi-natural conditions.
DOI: 10.21227/4k6d-jm90
title: UAV signals

description: This dataset is about UAV signals.Both indoor and outdoor experiments are conducted.
DOI: 10.25402/fsg.21205778
title: Genome-wide methylation analysis of post-mortem cerebellum samples supports the role of peroxisomes in autism spectrum disorder

description: <strong>Supplementary Table 1</strong> Details of cerebellum DNA samples analysed by Infinium Human Methylation 450K arrays <br> <strong>Supplementary Table 2: </strong>Primers used for Bisulfite sequencing and qRT-PCRs
DOI: 10.25402/fsg.21205778.v1
title: Genome-wide methylation analysis of post-mortem cerebellum samples supports the role of peroxisomes in autism spectrum disorder

description: <strong>Supplementary Table 1</strong> Details of cerebellum DNA samples analysed by Infinium Human Methylation 450K arrays <br> <strong>Supplementary Table 2: </strong>Primers used for Bisulfite sequencing and qRT-PCRs
DOI: 10.21227/ztsv-7d58
title: Chinese electric power audit text dataset

description: Chinese electric power audit text dataset
DOI: 10.17632/j9dmxk5vgt.1
title: What You See and Read

description: Data used for the paper "What You See and Read: Framing Effect of Valenced Text and Photograph in Political News."
DOI: 10.5281/zenodo.6921580
title: CT Dataset associated with the paper: (PLOSONE) Modular robotic platform for precision neurosurgery with a bio-inspired needle: system overview and first in-vivo deployment

description: Imaging dataset associated with the work entitled "Modular robotic platform for precision neurosurgery with a bio-inspired needle: system overview and first in-vivo deployment.", published in the journal PLOS ONE
DOI: 10.5281/zenodo.6921579
title: CT Dataset associated with the paper: (PLOSONE) Modular robotic platform for precision neurosurgery with a bio-inspired needle: system overview and first in-vivo deployment

description: Imaging dataset associated with the work entitled "Modular robotic platform for precision neurosurgery with a bio-inspired needle: system overview and first in-vivo deployment.", published in the journal PLOS ONE
DOI: 10.6084/m9.figshare.21205784
title: Lab data qPCR 2020

description: These data are belonged to AG Röszer, University of Ulm in Germany. They served as backup and records.
DOI: 10.6084/m9.figshare.21205784.v1
title: Lab data qPCR 2020

description: These data are belonged to AG Röszer, University of Ulm in Germany. They served as backup and records.
DOI: 10.5281/zenodo.7109328
title: Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions

description: The datasets contain original data from the article titled" Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions "
DOI: 10.5281/zenodo.7109329
title: Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions

description: The datasets contain original data from the article titled" Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions "
DOI: 10.5281/zenodo.7109682
title: Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions

description: The datasets contain original data from the article titled" Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions "
DOI: 10.5281/zenodo.7105261
title: Human resources for research and innovation in Italy

description: Human resources play a crucial role in enabling research and innovation. Key players include university students, PhD and master graduates, researchers holding a European grant supporting excellent researchers in carrying out ground-breaking, high-risk, high-gain, frontier research projects, entrepreneurs engaged in spin-offs, startups or innovation project supported by Horizon 2020 <em>SME instrument</em> grants. Data is generally available, but often it is not easy to use due to different formats and vocabularies and the variety of geographical references (city names, province, region or zip codes). This file collection is part of ongoing research work carried out by the sustainability unit at Area Science Park. Data is collected from a variety of open sources, curated and prepared for further analysis. The focus is on Italy; geographical references use EUROSTAT NUTS-2 and NUTS-3 taxonomy. Data available: Maps of NUTS2 and NUTS2 regions in Italy NUTS2 and NUTS3 names in Italian Universities Phd and Masters graduates since 2010 University spin-offs Innovative Startups Horizon 2020 grants for researchers: "<em>Marie Skłodowska Curie</em>" and "<em>European Research Council</em>" Horizon 2020 grants "<em>SME instrument</em>" Python scripts for data preparation are available in script.zip; development version is available on this GitLab repository<br> Some examples of visual representation of the data are available in .pdf format and as online interactive visualization report.
description: Contact: fabio.morea@areasciencepark.it
DOI: 10.5281/zenodo.7105262
title: Human resources for innovation in Italy

description: Innovation depends on several factors: research institutions, academia, companies and "human resources", which includes talented researchers, PhD and Masters graduates, as well as entrepreneurs, startups, spin-offs, and many others. This datasets is a curated collection open data from a variety of sources, focusing on Italy and geo-referenced to NUTS-2 and NUTS-3 level. Fields available: NUTS2 and NUTS2 polygons in .csv format NUTS-2 and NUTS-3 names Universities Phd and masters graduates since 2010
description: Development version (Python notebooks) available at https://gitlab.com/area-science-park-sustainability/it_regional_innovation
DOI: 10.5281/zenodo.7110148
title: Human resources for research and innovation in Italy

description: Human resources play a crucial role in enabling research and innovation. Key players include university students, PhD and master graduates, researchers holding a European grant supporting excellent researchers in carrying out ground-breaking, high-risk, high-gain, frontier research projects, entrepreneurs engaged in spin-offs, startups or innovation project supported by Horizon 2020 <em>SME instrument</em> grants. Data is generally available, but often it is not easy to use due to different formats and vocabularies and the variety of geographical references (city names, province, region or zip codes). This file collection is part of ongoing research work carried out by the sustainability unit at Area Science Park. Data is collected from a variety of open sources, curated and prepared for further analysis. The focus is on Italy; geographical references use EUROSTAT NUTS-2 and NUTS-3 taxonomy. Data available: Maps of NUTS2 and NUTS2 regions in Italy NUTS2 and NUTS3 names in Italian Universities Phd and Masters graduates since 2010 University spin-offs Innovative Startups Horizon 2020 grants for researchers: "<em>Marie Skłodowska Curie</em>" and "<em>European Research Council</em>" Horizon 2020 grants "<em>SME instrument</em>" Python scripts for data preparation are available in script.zip; development version is available on this GitLab repository<br> Some examples of visual representation of the data are available in .pdf format and as online interactive visualization report.
description: Contact: fabio.morea@areasciencepark.it
DOI: 10.6084/m9.figshare.21204287
title: Data Citation 2.docx

description: Participants’ results for GO thickness using different data analysis methods.
DOI: 10.6084/m9.figshare.21204287.v2
title: Data Citation 2.docx

description: Participants’ results for GO thickness using different data analysis methods.
DOI: 10.6084/m9.figshare.21204287.v1
title: Data Citation 2-1.docx

description: Participants’ results for GO thickness using different data analysis methods.
DOI: 10.18746/bmth.data.00000266
title: Data from EngD Thesis: "Understanding Hand Interactions and Mid-Air Haptic Responses within Virtual Reality and Beyond"
DOI: 10.6084/m9.figshare.20411628.v1
title: Ecological and life-history data of Lacertids from "Learning with lacertids: studying the link between ecology and cognition within a comparative framework."

description: Raw life-history and ecological data of thirteen lacertid species. The following data was collected for life-history characteristics: snout-vent length (SVL) at hatchling stage and maturity as indicators of developmental time and average clutch size and clutch frequency (n° of clutches per year) as indicators of fecundity. For the ecological data, monthly averages of daily minimal (Tmin) and maximal temperatures (Tmax), and the monthly precipitation were collected, as well as NDVI. In addition, the yearly coefficient of variation of these variables were also calculated. <br> See also the manuscript and its supplementary materials for a description of the variables, a summary of all data, and the accompanying references.
DOI: 10.6084/m9.figshare.20411628
title: Ecological and life-history data of Lacertids from "Learning with lacertids: studying the link between ecology and cognition within a comparative framework."

description: Raw life-history and ecological data of thirteen lacertid species. The following data was collected for life-history characteristics: snout-vent length (SVL) at hatchling stage and maturity as indicators of developmental time and average clutch size and clutch frequency (n° of clutches per year) as indicators of fecundity. For the ecological data, monthly averages of daily minimal (Tmin) and maximal temperatures (Tmax), and the monthly precipitation were collected, as well as NDVI. In addition, the yearly coefficient of variation of these variables were also calculated. <br> See also the manuscript and its supplementary materials for a description of the variables, a summary of all data, and the accompanying references.
DOI: 10.6084/m9.figshare.20411613
title: Cognition data from "Learning with lacertids: studying the link between ecology and cognition within a comparative framework."

description: Data collected from the cognitive tests performed in the study "Learning with lacertids: studying the link between ecology and cognition within a comparative framework". For each test, both the data collected in every trial is given, as well as a summary per individual per species. <br> See also the manuscript and its supplementary materials for a description of the tests and the meaning of all collected variables.
DOI: 10.6084/m9.figshare.20411613.v1
title: Cognition data from "Learning with lacertids: studying the link between ecology and cognition within a comparative framework."

description: Data collected from the cognitive tests performed in the study "Learning with lacertids: studying the link between ecology and cognition within a comparative framework". For each test, both the data collected in every trial is given, as well as a summary per individual per species. <br> See also the manuscript and its supplementary materials for a description of the tests and the meaning of all collected variables.
DOI: 10.5281/zenodo.3403739
title: REINVENT Decarbonisation Innovations Database [Data set]

description: This database includes more than 100 decarbonisation innovations in Paper, Plastic, Steel and Meat & Dairy sectors, across their value chains, as well as in Finance. For each innovation there is a description, information about its contribution to decarbonisation, actors and collaborators involved, sources of funding, drivers, (co)benefits and disadvantages. More information on the method for selecting innovations for the database is available here. The database was created as part of REINVENT – a Horizon 2020 research project funded by the European Commission (grant agreement 730053). REINVENT involves five research institutions from four countries: Lund University (Sweden), Durham University (United Kingdom), Wuppertal Institute (Germany), PBL Netherlands Environmental Assessment Agency (the Netherlands) and Utrecht University (the Netherlands). More information can be found on our website: www.reinvent-project.eu.
DOI: 10.7910/dvn/28782/6qk6op
title: 2014StudnitzerJ_thesis.pdf

description: Thesis
DOI: 10.7910/dvn/28782/cp8e0b
title: fadata.tab

description: :unav
DOI: 10.7910/dvn/28782/kdihp9
title: Metadata Guide.pdf

description: :unav
DOI: 10.7910/dvn/28782/zigyrr
title: arbitrationdata.xls

description: :unav
DOI: 10.7910/dvn/28782/8upvgp
title: hitters1yr2008.xls

description: :unav
DOI: 10.7910/dvn/28782/c9pnk9
title: hitters1yr2007post.xls

description: :unav
DOI: 10.7910/dvn/28782/v9isxr
title: hitters1yr2009.tab

description: :unav
DOI: 10.7910/dvn/28782/xzmkpb
title: hitters1yr2007.tab

description: :unav
DOI: 10.7910/dvn/28782/y146uj
title: hitters1yr2008post.xls

description: :unav
DOI: 10.7910/dvn/28782/cl40hc
title: hitters1yr2010.tab

description: :unav
DOI: 10.7910/dvn/28782/qippdp
title: hitters1yr2011post.xls

description: :unav
DOI: 10.7910/dvn/28782/qttnhq
title: hitters1yr2010post.xls

description: :unav
DOI: 10.7910/dvn/28782/s6isrd
title: hitters1yr2011.tab

description: :unav
DOI: 10.7910/dvn/28782/y9rglp
title: hitters1yr2009post.xls

description: :unav
DOI: 10.7910/dvn/28782/1gwwxt
title: hitters3yr2007.tab

description: :unav
DOI: 10.7910/dvn/28782/2zmfup
title: hitters3yr2009.tab

description: :unav
DOI: 10.7910/dvn/28782/brcv3y
title: hitters3yr2009.xls

description: :unav
DOI: 10.7910/dvn/28782/f2luwx
title: hitters1yr2012.tab

description: :unav
DOI: 10.7910/dvn/28782/iroej5
title: hitters3yr2008.tab

description: :unav
DOI: 10.7910/dvn/28782/unoybp
title: hitters1yr2012post.xls

description: :unav
DOI: 10.7910/dvn/28782/ba8rip
title: arbitrationdata.xls

description: :unav
DOI: 10.7910/dvn/28782/cendeh
title: cleaning.do

description: :unav
DOI: 10.7910/dvn/28782/iahuf5
title: data appendix.do

description: :unav
DOI: 10.7910/dvn/28782/ih50u4
title: results.do

description: :unav
DOI: 10.7910/dvn/28782/r73vze
title: hitters3yr2010.tab

description: :unav
DOI: 10.7910/dvn/28782/th12rl
title: hitters3yr2011.tab

description: :unav
DOI: 10.7910/dvn/28782/ulmuuy
title: import.do

description: :unav
DOI: 10.7910/dvn/28782/wla4yd
title: hitters3yr2012.tab

description: :unav
DOI: 10.7910/dvn/28782/2pfvjp
title: Readme.pdf

description: :unav
DOI: 10.7910/dvn/28782/xywa0e
title: hitters1yr2008.xls

description: :unav
DOI: 10.21227/syw4-nc72
title: Energy-efficient indoor localization WiFi-fingerprint dataset

description: WiFi measurements dataset for WiFi fingerprint indoor localization compiled on the first and ground floors of the Escuela Técnica Superior de Ingeniería Informática, in Seville, Spain. The facility has 24.000 m² approximately, although only accessible areas were compiled. The dataset is made up of two elements: training, consisting of 7175 wifi fingerprints in 489 different locations; and testing, consisting of 390 test samples with two different mobile devices and one sample per location, this testing dataset was compiled two days after the training compilation by taking samples at random locations. The training set also include magnetic magnitude values compiled with Android magnetic field sensor API.
DOI: 10.21227/5zev-2m65
title: Energy-efficient indoor localization WiFi-fingerprint dataset

description: WiFi measurements dataset for WiFi fingerprint indoor localization compiled on the first and ground floors of the Escuela Técnica Superior de Ingeniería Informática, in Seville, Spain. The facility has 24.000 m² approximately, although only accessible areas were compiled. The dataset is made up of two elements: training, consisting of 7175 wifi fingerprints in 489 different locations; and testing, consisting of 390 test samples with two different mobile devices and one sample per location, this testing dataset was compiled two days after the training compilation by taking samples at random locations. The training set also include magnetic magnitude values compiled with Android magnetic field sensor API.
DOI: 10.5285/5f7c65c06317418f8ff0b6881c929153
title: NIALL: Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data

description: This dataset contains Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data, where samples were heated in vacuum chamber with Na and Ni and detected by laser induced fluorescence. The data are Laser induced fluorescence (LIF) profiles of Ni and Na from ablating particles (powdered meteorite or meteorite proxy). This experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.
DOI: 10.5285/8120f50827564bd7ae22ee3ac50e6c8f
title: NIALL: Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids

description: This dataset contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids. This experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.
DOI: 10.25387/g3.9789434
title: Supplemental Material for Clay, Kim, and Landweber, 2019

description: 2 supplementary files for the paper, along with the 4 figures and supplementary word document with the legends for the supplementary figures and primers used in the paper
DOI: 10.25387/g3.9789434.v1
title: Supplemental Material for Clay, Kim, and Landweber, 2019

description: 2 supplementary files for the paper, along with the 4 figures and supplementary word document with the legends for the supplementary figures and primers used in the paper
DOI: 10.7488/84b585fc-57d2-4e5a-b3a3-694f70534a02
title: Simulations to explore impact of calibration of model parameters on climate sensitivity

description: Raw data used in study, in preparation, by Tett et al. PP data, is a format used by the Met Office for its weather and climate model data output. Data can be read by the Iris Python module from conda-forge. See https://scitools.org.uk/iris/docs/latest/ for documentaton on the package. ## Access ## This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh users. External users are very welcome to request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page once the paper has been accepted. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: http://www.ed.ac.uk/is/research-support/datavault .
description: This study investigates the hypothesis that a significant portion of spread in climate model projections of sea ice is due to poorly-constrained model parameters. New automated methods for optimization are applied to multiple parameters and the strength of the climate feedbacks investigated with a suite of standard coupled simulations. This dataset supports a manuscript which, at the time of deposit, is still in preparation.
description: Tett, S; Mineter, M "Simulations to explore impact of calibration of model parameters on climate sensitivity" [dataset] (2019) Edinburgh DataVault
DOI: 10.7910/dvn/zxrd6n/0nulll
title: s0.tab

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DOI: 10.7910/dvn/zxrd6n/gvgseb
title: Quest_paperM7M8_print_04262018_Condition1.pdf

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DOI: 10.7910/dvn/zxrd6n/rkeawd
title: s11.tab

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DOI: 10.7910/dvn/zxrd6n/y0vgus
title: Quest_paperM7M8_print_04262018_Condition2.pdf

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DOI: 10.7910/dvn/zxrd6n/22wg7n
title: s13_long_2.tab

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DOI: 10.7910/dvn/zxrd6n/5dbw9f
title: s12_long.tab

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DOI: 10.7910/dvn/zxrd6n/8xztpe
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DOI: 10.7910/dvn/zxrd6n/cp4qlm
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DOI: 10.7910/dvn/zxrd6n/j7jrfr
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DOI: 10.7910/dvn/zxrd6n/otq3wy
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DOI: 10.7910/dvn/zxrd6n/vqnqkp
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DOI: 10.7910/dvn/zxrd6n/cuh6ze
title: s31_long_2.tab

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DOI: 10.7910/dvn/zxrd6n/igmxxb
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DOI: 10.7910/dvn/zxrd6n/1is5ys
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DOI: 10.7910/dvn/zxrd6n/ci3n3d
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