cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5114068.v2
title: Quercus pubescens chorology

description: Distribution map of downy oak (<i>Quercus pubescens</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114053
title: Altered Cerebral Blood Flow Velocity Features in Fibromyalgia Patients in Resting-State Conditions

description: This data set contains the experimental data from the study "Altered Cerebral Blood Flow Velocity Features in Fibromyalgia Patients in Resting-State Conditions"
DOI: 10.6084/m9.figshare.5114065.v1
title: Quercus petraea chorology

description: Distribution map of sessile oak (<i>Quercus petraea</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114059.v1
title: Quercus frainetto chorology

description: Distribution map of Hungarian oak (<i>Quercus frainetto</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114056.v1
title: Quercus coccifera chorology

description: Distribution map of kermes oak (<i>Quercus coccifera</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114053.v2
title: Altered Cerebral Blood Flow Velocity Features in Fibromyalgia Patients in Resting-State Conditions

description: This data set contains the experimental data from the study "Altered Cerebral Blood Flow Velocity Features in Fibromyalgia Patients in Resting-State Conditions"
DOI: 10.6084/m9.figshare.5114059.v2
title: Quercus frainetto chorology

description: Distribution map of Hungarian oak (<i>Quercus frainetto</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114065.v2
title: Quercus petraea chorology

description: Distribution map of sessile oak (<i>Quercus petraea</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114053.v1
title: TCD data resting conditions.zip

description: This data set contains the experimental data from the study "Altered Cerebral Blood Flow Velocity Features in Fibromyalgia Patients in Resting-State Conditions"
DOI: 10.6084/m9.figshare.5114062.v2
title: Quercus ilex chorology

description: Distribution map of holm oak (<i>Quercus ilex</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114056.v2
title: Quercus coccifera chorology

description: Distribution map of kermes oak (<i>Quercus coccifera</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114059.v3
title: Quercus frainetto chorology

description: Distribution map of Hungarian oak (<i>Quercus frainetto</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geodatabases and scientific literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix “plg”), which define continuous areas of occupancy of the species, and with point features (name suffix “pnt”), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix “syn”).<br>All polygon borders delimiting the range are generalized across the mainland and sea boundaries, and not clipped to a specific coastline. This offers the possibility to mask sea areas, or to clip and extract the terrestrial range parts using GIS data layers of the users’ choice. <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5114041
title: Supplementary Material for: Preoperative C-Reactive Protein Values as a Potential Component in Outcome Prediction Models of Metastasized Renal Cell Carcinoma Patients Receiving Cytoreductive Nephrectomy

description: <b><i>Purpose:</i></b> To validate preoperative C-reactive protein (CRP) levels as a prognostic marker for survival in a metastasized renal cell carcinoma (mRCC) patient cohort receiving cytoreductive nephrectomy (CN). <b><i>Patients and Methods:</i></b> By chart review, 146 mRCC patients receiving CN at our tertiary referral centre from 1997 to 2015 were identified retrospectively. All relevant clinicopathological features including laboratory parameters were collected and correlated to overall survival, progression-free survival and cancer-specific survival (CSS). The mean follow-up was 23 months (range 1-168 months). <b><i>Results:</i></b> Besides the already established scoring systems like the MSKCC criteria, an elevated preoperative CRP level (≥0.5 mg/dL) was an independent predictor of CSS in our study group including the chosen postoperative adjuvant therapies (TKI vs. immunotherapy vs. others). With regard to morbidity, patients with a good performance status, small tumour size and adequate renal function/haematopoiesis experienced less complication rates, thereby profiting more from CN. <b><i>Conclusions:</i></b> Our data provide indication that preoperative CRP levels should be implemented in nomograms regarding the outcome prediction in mRCC to identify candidates likely to profit from CN.
DOI: 10.6084/m9.figshare.5114047
title: Melorose, Perroy, Careas - 2015 - No Title No Title-annotated.pdf

description: We have examined electron screening at the surface of a ferromagnetic metal.
DOI: 10.17028/rd.lboro.5114026
title: PGR student workflows

description: These are student workflows created from the qualitative information created as part of the Loughborough University and Taylor and Francis project looking at the Postgraduate Researcher User Experience in the Digital Library (2015-2016).<br>The workflows have been anonymised to disguise the subject area and identity of the student involved. All the participants were post graduate research students (PGRs) at Loughborough University.<br>The workflows identify how the students accessed information over the course of an eight month period.<br><br>A number of abbreviations have been used to save space:GS - Google ScholarBL - British LibraryGB - Google Books<br>The original workflows were created in Microsoft Visio 2010 and have also been made available as PDFs.<br>Please contact the project team in Loughborough University Library for additional information on the project and/or workflows.
DOI: 10.6084/m9.figshare.5114041.v1
title: Supplementary Material for: Preoperative C-Reactive Protein Values as a Potential Component in Outcome Prediction Models of Metastasized Renal Cell Carcinoma Patients Receiving Cytoreductive Nephrectomy

description: <b><i>Purpose:</i></b> To validate preoperative C-reactive protein (CRP) levels as a prognostic marker for survival in a metastasized renal cell carcinoma (mRCC) patient cohort receiving cytoreductive nephrectomy (CN). <b><i>Patients and Methods:</i></b> By chart review, 146 mRCC patients receiving CN at our tertiary referral centre from 1997 to 2015 were identified retrospectively. All relevant clinicopathological features including laboratory parameters were collected and correlated to overall survival, progression-free survival and cancer-specific survival (CSS). The mean follow-up was 23 months (range 1-168 months). <b><i>Results:</i></b> Besides the already established scoring systems like the MSKCC criteria, an elevated preoperative CRP level (≥0.5 mg/dL) was an independent predictor of CSS in our study group including the chosen postoperative adjuvant therapies (TKI vs. immunotherapy vs. others). With regard to morbidity, patients with a good performance status, small tumour size and adequate renal function/haematopoiesis experienced less complication rates, thereby profiting more from CN. <b><i>Conclusions:</i></b> Our data provide indication that preoperative CRP levels should be implemented in nomograms regarding the outcome prediction in mRCC to identify candidates likely to profit from CN.
DOI: 10.6084/m9.figshare.5114020
title: Supplementary Material for: The Nuclear Proteome of White and Gray Matter from Schizophrenia Postmortem Brains

description: Schizophrenia (SCZ) is a serious neuropsychiatric disorder that manifests through several symptoms from early adulthood. Numerous studies over the last decades have led to significant advances in increasing our understanding of the factors involved in SCZ. For example, mass spectrometry-based proteomic analysis has provided important insights by uncovering protein dysfunctions inherent to SCZ. Here, we present a comprehensive analysis of the nuclear proteome of postmortem brain tissues from corpus callosum (CC) and anterior temporal lobe (ATL). We show an overview of the role of deregulated nuclear proteins in these two main regions of the brain: the first, mostly composed of glial cells and axons of neurons, and the second, represented mainly by neuronal cell bodies. These samples were collected from SCZ patients in an attempt to characterize the role of the nucleus in the disease process. With the ATL nucleus enrichment, we found 224 proteins present at different levels, and 76 of these were nuclear proteins. In the CC analysis, we identified 119 present at different levels, and 24 of these were nuclear proteins. The differentially expressed nuclear proteins of ATL are mainly associated with the spliceosome, whereas those of the CC region are associated with calcium/calmodulin signaling.
DOI: 10.6084/m9.figshare.5114035
title: Thermodynamics of the hydrolysis of 4-alkyl-caprolactones

description: Data to support article:<br><br>Continuous production of bio-renewable lactone monomers through Sn-β catalysed Baeyer-Villiger oxidation with H<sub>2</sub>O<sub>2</sub> <br><br>ChemSusChem 2017, DOI: 10.1002/cssc.201701298<br><br>DOI: 10.6084/m9.figshare.5114035<br><br>Authors:<br>Keiko Yakabi,<sup>[a]</sup> Kirstie Milne,<sup>[a] </sup>Thibault Mathieux,<sup>[a] </sup>Eva M. López-Vidal,<sup>[b]</sup> <sup></sup>Antoine Buchard<sup> [b] </sup>and Ceri Hammond*<sup>[a]</sup> <br><sup>a</sup> Cardiff Catalysis Institute, Cardiff University, <br>Main Building, Park Place, Cardiff, CF10 3AT, UK<sup>b</sup> Department of Chemistry, University of Bath, Bath BA2 7AYDFT study:- DFT optimised geometries and computed free enthalpies were used to calculate the thermodynamics of the hydrolysis with H<sub>2</sub>O of 4-alkyl-caprolactones, so as to evaluate the effect of the alkyl substituents (R=H, Me, Et,iPr and tBu)<b><sub>.</sub></b> <br>Protocols: <br>rwB97XD (or B3LYP-D3 or M06-2X)/6-311+G(2d,p)/cpcm=1,4-dioxane/T=398.15KContent:- Gaussian09 rev D.01 output files in zip files (per functional used)- Hydrolysis_4-R-CyO_thermo.pdf, illustrating the calculations made and summarising the enthalpies computed.
DOI: 10.17028/rd.lboro.5114026.v1
title: PGR student workflows

description: These are student workflows created from the qualitative information created as part of the Loughborough University and Taylor and Francis project looking at the Postgraduate Researcher User Experience in the Digital Library (2015-2016).<br>The workflows have been anonymised to disguise the subject area and identity of the student involved. All the participants were post graduate research students (PGRs) at Loughborough University.<br>The workflows identify how the students accessed information over the course of an eight month period.<br><br>A number of abbreviations have been used to save space:GS - Google ScholarBL - British LibraryGB - Google Books<br>The original workflows were created in Microsoft Visio 2010 and have also been made available as PDFs.<br>Please contact the project team in Loughborough University Library for additional information on the project and/or workflows.