cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3504719
title: Diversification of <i>Portulaca oleracea</i> L. complex in the Italian peninsula and adjacent islands<sup>†</sup>

description: There is an increasing interest in the taxonomy and distribution of the forms of the <i>Portulaca oleracea</i> complex. The information accruing from specimens collected in the Italian peninsula and surrounding islands (Sicily, Sardinia, Corsica and Malta) is here described. Eleven morphotypes were recorded: ‘<i>P. cypria</i>’, ‘<i>P. granulatostellulata</i>’, ‘<i>P. nitida</i>’, ‘<i>P. oleracea</i>’, ‘<i>P. papillatostellulata</i>’, ‘<i>P. rausii</i>’, ‘<i>P. sardoa</i>’, ‘<i>P. sativa</i>’, ‘<i>P. sicula</i>’, ‘<i>P. trituberculata</i>’, ‘<i>P. zaffranii</i>’ and a still unclear form <i>Portulaca oleracea</i> f. Three occur in almost all the Italian peninsula and adjacent islands; three are scattered in the Italian peninsula and in the adjacent islands; the remnant have a distribution restricted to the islands such as Sicily and Sardinia. The morphotypes can be divided into two main categories: seeds smooth, without ornamentations; seeds with ornamentations. The morphotypes with ornamentations are more widespread than smooth ones, probably because seed ornamentations play an important role in seed dispersal, which is perhaps mainly anthropochorous given that <i>P. oleracea</i> is a synanthropic species that can tolerate mechanical disturbance. There are cases of multiple occurrence, as evidenced by the presence of different morphotypes in some of the sites. Such populations can count up to five morphotypes growing together. Seven morphotypes were here recorded from Malta; they are all hexaploid, even those which in other areas are tetraploid.
DOI: 10.6084/m9.figshare.3504719.v1
title: Diversification of <i>Portulaca oleracea</i> L. complex in the Italian peninsula and adjacent islands<sup>†</sup>

description: There is an increasing interest in the taxonomy and distribution of the forms of the <i>Portulaca oleracea</i> complex. The information accruing from specimens collected in the Italian peninsula and surrounding islands (Sicily, Sardinia, Corsica and Malta) is here described. Eleven morphotypes were recorded: ‘<i>P. cypria</i>’, ‘<i>P. granulatostellulata</i>’, ‘<i>P. nitida</i>’, ‘<i>P. oleracea</i>’, ‘<i>P. papillatostellulata</i>’, ‘<i>P. rausii</i>’, ‘<i>P. sardoa</i>’, ‘<i>P. sativa</i>’, ‘<i>P. sicula</i>’, ‘<i>P. trituberculata</i>’, ‘<i>P. zaffranii</i>’ and a still unclear form <i>Portulaca oleracea</i> f. Three occur in almost all the Italian peninsula and adjacent islands; three are scattered in the Italian peninsula and in the adjacent islands; the remnant have a distribution restricted to the islands such as Sicily and Sardinia. The morphotypes can be divided into two main categories: seeds smooth, without ornamentations; seeds with ornamentations. The morphotypes with ornamentations are more widespread than smooth ones, probably because seed ornamentations play an important role in seed dispersal, which is perhaps mainly anthropochorous given that <i>P. oleracea</i> is a synanthropic species that can tolerate mechanical disturbance. There are cases of multiple occurrence, as evidenced by the presence of different morphotypes in some of the sites. Such populations can count up to five morphotypes growing together. Seven morphotypes were here recorded from Malta; they are all hexaploid, even those which in other areas are tetraploid.
DOI: 10.6084/m9.figshare.3504581
title: ELISA

description: Raw data and statistics for publication at PLoS ONE.
DOI: 10.6084/m9.figshare.3504581.v1
title: ELISA

description: Raw data and statistics for publication at PLoS ONE.
DOI: 10.6084/m9.figshare.3504581.v2
title: ELISA

description: Raw data and statistics for publication at PLoS ONE.
DOI: 10.6084/m9.figshare.3504566
title: Different representations of the same ERP data

description: Reproducibility package containing data, Matlab script and final plot of Figure 2 of this blog post on data visualisation in neuroscience:<br>https://garstats.wordpress.com/2016/07/28/neuroscience-group-results/<br>This figure and the code are part of a larger Matlab ERP tutorial which is available here:<br>Rousselet, G. (2016). Introduction to robust estimation of ERP data. figshare.https://dx.doi.org/10.6084/m9.figshare.3501728<br>See also these related blog posts on ERP illustrations:<br>https://garstats.wordpress.com/2016/04/02/simple-steps-for-more-informative-erp-figures/<br>https://garstats.wordpress.com/2016/06/03/erp-monsters/
DOI: 10.6084/m9.figshare.3504566.v1
title: Different representations of the same ERP data

description: Reproducibility package containing data, Matlab script and final plot of Figure 2 of this blog post on data visualisation in neuroscience:<br>https://garstats.wordpress.com/2016/07/28/neuroscience-group-results/<br>This figure and the code are part of a larger Matlab ERP tutorial which is available here:<br>Rousselet, G. (2016). Introduction to robust estimation of ERP data. figshare.https://dx.doi.org/10.6084/m9.figshare.3501728<br>See also these related blog posts on ERP illustrations:<br>https://garstats.wordpress.com/2016/04/02/simple-steps-for-more-informative-erp-figures/<br>https://garstats.wordpress.com/2016/06/03/erp-monsters/
DOI: 10.6084/m9.figshare.3504539
title: Different representations of the same behavioural data

description: Reproducibility package containing data, R script and final plot of Figure 1 of this blog post on data visualisation in neuroscience:<br>https://garstats.wordpress.com/2016/07/28/neuroscience-group-results/
DOI: 10.6084/m9.figshare.3504491
title: Manitoba chronosequence soil respiration

description: Soil respiration data from 1999-2002 measurements in boreal forest chronosequence west of Thompson, Manitoba, Canada. Fields include:<br>Site: site name, giving drainage + year of burn (see publications)Year: of measurementDay: of measurementPlot: plot numberCollar: collar numberTrench: trenched (T) or untrenched (U)Tair_C: air temperature, CT2_C: 2 cm soil temperature, CT10_C: 10 cm soil temperature, CPhoto_umol_m2_s: respiration rate, µmol CO2/m2/sTime: time (?)CO2_ambient: ambient CO2Obs: observation number<br>These data were summarized in the following publications:<br>Bond-Lamberty, B., Wang, C. & Gower, S. T. Contribution of root respiration to soil surface CO<sub>2</sub> flux in a boreal black spruce fire chronosequence. <i>Tree Physiol.</i> <b>24</b>, 1387-1395 (2004).Wang, C., Bond-Lamberty, B. & Gower, S. T. Soil surface CO<sub>2</sub> flux in a boreal black spruce fire chronosequence. <i>J. Geophys. Res.-Atmos.</i> <b>108</b>, art. no. 8224, doi:10.1029/2001JD000861 (2002).<br><br>
DOI: 10.6084/m9.figshare.3504491.v1
title: Manitoba chronosequence soil respiration

description: Soil respiration data from 1999-2002 measurements in boreal forest chronosequence west of Thompson, Manitoba, Canada. Fields include:<br>Site: site name, giving drainage + year of burn (see publications)Year: of measurementDay: of measurementPlot: plot numberCollar: collar numberTrench: trenched (T) or untrenched (U)Tair_C: air temperature, CT2_C: 2 cm soil temperature, CT10_C: 10 cm soil temperature, CPhoto_umol_m2_s: respiration rate, µmol CO2/m2/sTime: time (?)CO2_ambient: ambient CO2Obs: observation number<br>These data were summarized in the following publications:<br>Bond-Lamberty, B., Wang, C. & Gower, S. T. Contribution of root respiration to soil surface CO<sub>2</sub> flux in a boreal black spruce fire chronosequence. <i>Tree Physiol.</i> <b>24</b>, 1387-1395 (2004).Wang, C., Bond-Lamberty, B. & Gower, S. T. Soil surface CO<sub>2</sub> flux in a boreal black spruce fire chronosequence. <i>J. Geophys. Res.-Atmos.</i> <b>108</b>, art. no. 8224, doi:10.1029/2001JD000861 (2002).<br><br>
DOI: 10.6084/m9.figshare.3504470
title: Bisaria2016_PNAS_smFRETSMD.zip

description: Single-molecule FRET data for P4-P6 and related RNA constructs. Each file is a separate experiment/condition and each entry of each file is a single-molecule in a field of molecules. Data is in the single-molecule data (SMD) format.
DOI: 10.6084/m9.figshare.3504470.v1
title: Bisaria2016_PNAS_smFRETSMD.zip

description: Single-molecule FRET data for P4-P6 and related RNA constructs. Each file is a separate experiment/condition and each entry of each file is a single-molecule in a field of molecules. Data is in the single-molecule data (SMD) format.
DOI: 10.6084/m9.figshare.3504413
title: Metadata - Aerial imagery object identification dataset for building and road detection, and building height estimation

description: These metadata describe the "Aerial imagery object identification dataset for building and road detection, and building height estimation." The PDF contained here is a full description of the dataset and how it was collected.
DOI: 10.6084/m9.figshare.3504359
title: Seekonk, Massachusetts - Aerial imagery object identification dataset for building and road detection, and building height estimation

description: This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413. Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).
DOI: 10.6084/m9.figshare.3504350
title: San Francisco, California - Aerial imagery object identification dataset for building and road detection, and building height estimation

description: This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413. Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).
DOI: 10.6084/m9.figshare.3504347
title: Norfolk, Virginia - Aerial imagery object identification dataset for building and road detection, and building height estimation

description: This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413. Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).
DOI: 10.6084/m9.figshare.3504317
title: Austin, Texas - Aerial imagery object identification dataset for building and road detection, and building height estimation

description: This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413. Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).
DOI: 10.6084/m9.figshare.3504317.v1
title: Austin, Texas - Aerial imagery object identification dataset for building and road detection, and building height estimation

description: This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413. Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).
DOI: 10.6084/m9.figshare.3504122
title: Acceptance of internet-based hearing healthcare among adults who fail a hearing screening

description: <i>Objective</i>: This study measured help-seeking readiness and acceptance of existing internet-based hearing healthcare (IHHC) websites among a group of older adults who failed a hearing screening (Phase 1). It also explored the effects of brief training on participants’ acceptance of IHHC (Phase 2). <i>Study sample</i>: Twenty-seven adults (age 55+) who failed a hearing screening participated. <i>Design</i>: During Phase 1 participants were administered the University of Rhode Island Change Assessment (URICA) and patient technology acceptance model (PTAM) Questionnaire. During Phase 2 participants were randomly assigned to a training or control group. Training group participants attended an instructional class on existing IHHC websites. The control group received no training. The PTAM questionnaire was re-administered to both groups 4–6 weeks following the initial assessment. <i>Results</i>: The majority of participants were either considering or preparing to do something about their hearing loss, and were generally accepting of IHHC websites (Phase 1). The participants who underwent brief IHHC training reported increases in hearing healthcare knowledge and slight improvements in computer self-efficacy (Phase 2). <i>Conclusion</i>s: Older adults who fail hearing screenings may be good candidates for IHHC. The incorporation of a simple user-interface and short-term training may optimize the usability of future IHHC programs for this population.
DOI: 10.6084/m9.figshare.3504122.v1
title: Acceptance of internet-based hearing healthcare among adults who fail a hearing screening

description: <i>Objective</i>: This study measured help-seeking readiness and acceptance of existing internet-based hearing healthcare (IHHC) websites among a group of older adults who failed a hearing screening (Phase 1). It also explored the effects of brief training on participants’ acceptance of IHHC (Phase 2). <i>Study sample</i>: Twenty-seven adults (age 55+) who failed a hearing screening participated. <i>Design</i>: During Phase 1 participants were administered the University of Rhode Island Change Assessment (URICA) and patient technology acceptance model (PTAM) Questionnaire. During Phase 2 participants were randomly assigned to a training or control group. Training group participants attended an instructional class on existing IHHC websites. The control group received no training. The PTAM questionnaire was re-administered to both groups 4–6 weeks following the initial assessment. <i>Results</i>: The majority of participants were either considering or preparing to do something about their hearing loss, and were generally accepting of IHHC websites (Phase 1). The participants who underwent brief IHHC training reported increases in hearing healthcare knowledge and slight improvements in computer self-efficacy (Phase 2). <i>Conclusion</i>s: Older adults who fail hearing screenings may be good candidates for IHHC. The incorporation of a simple user-interface and short-term training may optimize the usability of future IHHC programs for this population.
DOI: 10.6084/m9.figshare.3504116
title: Polymetallic mineralised veins in ferroan/A-type Cretaceous leucogranite, Stewart Island, New Zealand

description: The 140 ± 1 Ma hypersolvus, ferroan, weakly peralkaline to weakly peraluminous North Red Head leucogranite in northwest Stewart Island is cut by quartz-pyrite-rich veins that contain a wide variety of Mo, Ag, Te, Bi, Au, Co, Cu, Pb, Zn, REE, Nb, Y, Th, U, Zr, Ti, Be and F-bearing minerals. Patchy hematite-pyrite alteration locally overprints leucogranite in the vicinity of the mineralised veins. Individual veins are up to 5 m thick and 200+ m long. U–Pb dating and trace-element geochemistry indicate a direct link between leucogranite crystallisation and exsolution of the vein-forming hydrothermal fluid. Mineralised veins developed along transpressional faults within the leucogranite soon after emplacement. Incipiently mineralised quartz ± pyrite veins at Waituna Bay and the northern end of West Ruggedy Beach several kilometres from North Red Head are probably part of the same hydrothermal system as the veins at North Red Head. Metal and alteration assemblages at North Red Head most closely resemble those in rare hydrothermal systems associated with oxidised fluorine-rich A-type granites.
DOI: 10.6084/m9.figshare.3504101
title: A polymorphism in human estrogen-related receptor beta (ESRRβ) predicts audiometric temporary threshold shift

description: <i>Objective</i>: A non-synonymous single nucleotide polymorphism (rs61742642; C to T, P386S) in the ligand-binding domain of human estrogen-related receptor beta (ESRRβ) showed possible association to noise-induced hearing loss (NIHL) in our previous study. <i>Design</i>: This study was conducted to examine the effect of the ESRRβ rs61742642 T variant on temporary threshold shift (TTS). TTS was induced by 10 minutes of exposure to audiometric narrow-band noise centered at 2000 Hz. Hearing thresholds and distortion product otoacoustic emissions input output function (DP IO) at 2000, 3000, and 4000 Hz were measured before and after the noise exposure. <i>Study sample</i>: Nineteen participants with rs61742642 CT genotype and 40 participants with rs61742642 CC genotype were recruited for the study. <i>Results</i>: Participants with the CT genotype acquired a significantly greater TTS without convincing evidence of greater DP IO temporary level shift (DPTLS) compared to participants with the CC genotype. <i>Conclusion</i>: The results indicated that the ESRRβ polymorphism is associated with TTS. Future studies were recommended to explore molecular pathways leading to increased susceptibility to NIHL.
DOI: 10.6084/m9.figshare.3504092
title: Historical irrigated area maps for India (1956-2010)

description: Annual irrigated area maps of 30 crop types for the Indian subcontinent between 1956-2010 at 5 arcminute by 5 arcminute spatial resolution.<br>
DOI: 10.6084/m9.figshare.3504056
title: Depression following traumatic brain injury: A functional connectivity perspective

description: Introduction: Despite the mounting evidence that depression is one of the most common psychiatric sequelae in survivors of traumatic brain injury (TBI), no studies so far have attempted to provide an explanation in terms of functional network integrity. This proof of concept study investigated the association between the severity of depressive symptoms and resting network integrity in a sample of patients with TBI and a group of healthy controls. Methods: We first examined the association between depression symptomatology and global functional connectivity and then attempted to characterize the extent of differences in functional network integrity. Results: The severity of depressive symptoms in patients with TBI was associated with neuroadaptations within the insula, the thalamus and the subgenual anterior cingulate cortex (ACC). Specifically, patients with TBI displayed increased connectivity between the insula and a region encompassing the rolandic operculum and the superior temporal cortex and reduced connectivity between the thalamus and the dorsolateral prefrontal cortex. Conclusions: These findings show the network level involvement of the insula, the thalamus and the subgenual ACC in the depressive symptomatology of patients with TBI and tentatively propose that TBI-induced depression may result from altered functional connectivity of a set of networks associated with emotional regulation. However, other factors including a number of adjustment issues and challenges may also lead to depression in this population.
DOI: 10.6084/m9.figshare.3504056.v1
title: Depression following traumatic brain injury: A functional connectivity perspective

description: Introduction: Despite the mounting evidence that depression is one of the most common psychiatric sequelae in survivors of traumatic brain injury (TBI), no studies so far have attempted to provide an explanation in terms of functional network integrity. This proof of concept study investigated the association between the severity of depressive symptoms and resting network integrity in a sample of patients with TBI and a group of healthy controls. Methods: We first examined the association between depression symptomatology and global functional connectivity and then attempted to characterize the extent of differences in functional network integrity. Results: The severity of depressive symptoms in patients with TBI was associated with neuroadaptations within the insula, the thalamus and the subgenual anterior cingulate cortex (ACC). Specifically, patients with TBI displayed increased connectivity between the insula and a region encompassing the rolandic operculum and the superior temporal cortex and reduced connectivity between the thalamus and the dorsolateral prefrontal cortex. Conclusions: These findings show the network level involvement of the insula, the thalamus and the subgenual ACC in the depressive symptomatology of patients with TBI and tentatively propose that TBI-induced depression may result from altered functional connectivity of a set of networks associated with emotional regulation. However, other factors including a number of adjustment issues and challenges may also lead to depression in this population.