cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v73
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1507590.v1
title: Luu et al. dataset

description: Dataset representing all of the data used to generate the figures in Luu et al., 2015. (Immunofluorescence images in separate files.)
DOI: 10.6084/m9.figshare.1507564
title: Gaussian Job Archive for C52H74N4O10Zn2 -104291

description: JobID: 104291 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507565
title: Gaussian Job Archive for C52H74N4O10Zn2 - 104292

description: JobID: 104292 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507562
title: Gaussian Job Archive for C8H4O3 - 104337

description: JobID: 104337 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507563
title: Gaussian Job Archive for C52H74N4O10Zn2 - 104293

description: JobID: 104293 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507565.v1
title: Gaussian Job Archive for C52H74N4O10Zn2 - 104292

description: JobID: 104292 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507563.v1
title: Gaussian Job Archive for C52H74N4O10Zn2 - 104293

description: JobID: 104293 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507564.v1
title: Gaussian Job Archive for C52H74N4O10Zn2 -104291

description: JobID: 104291 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512834.v74
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1507560
title: Permeability data from Luijendijk and Gleeson 2015, Table S1

description: grain size, clay mineralogy, porosity, and permeability data on pure sand and silt, pure clay, and natural mixtures of sand, silt and clay.
DOI: 10.6084/m9.figshare.1507558
title: Gaussian Job Archive for C6H10O2 - 104285

description: JobID: 104285 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507559
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104264

description: JobID: 104264 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507562.v1
title: Gaussian Job Archive for C8H4O3 - 104337

description: JobID: 104337 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507559.v1
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104264

description: JobID: 104264 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512834.v75
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1507556
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104136

description: JobID: 104136 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507557
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104131

description: JobID: 104131 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507558.v1
title: Gaussian Job Archive for C6H10O2 - 104285

description: JobID: 104285 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507555
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104134

description: JobID: 104134 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507557.v1
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104131

description: JobID: 104131 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512834.v76
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1507554
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104133

description: JobID: 104133 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507555.v1
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104134

description: JobID: 104134 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507556.v1
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104136

description: JobID: 104136 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507553
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104129

description: JobID: 104129 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507554.v1
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104133

description: JobID: 104133 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507550
title: Household_Info

description: Basic demographic information from all reporting households, with Mobile.number corresponding to those recorded as Sendingnumber in the accompanying dataset. <strong>Columns:</strong> HHn = Household ID Mobile.number = Coded mobile phone number Reporter = If individual was sending reports themselves, or their reports were being sent by a household member owing to illiteracy etc. HHSize = Number of individuals in immediate household Age = Age of individual Sex = Sex of individual Share = If individual is utilising a shared mobile device for the sending of reportsIdentifier = Sharing identifier, if applicable.UniqID = ID Corresponding to a combination of mobile number and report sharing designation. Used throughout corresponding reporting dataset.
DOI: 10.6084/m9.figshare.1507551
title: Syndromic_reports

description: A combination of all mobile phone, and subsequently collected syndromic reports, with salient details extracted. <strong>Column meanings</strong> reportVect = The final report collected, following any corrections obtained from participants. Identifier = (If distinguishable) Identifying element of reports Symptoms = (If distinguishable) Symptoms in report DaysSick = (If distinguishable) Days sick in report OthSick = (If distinguishable) Others sick in report Sendingnumber = Coded sender number Recievedtime = Time of message reciept Mod = How report has been modified, on the basis of gathered corrections TSlot = Reporting timeslot in which report was recieved OrigText = Original text of report as initially recieved/manually added. Some reports were modified to remove participant names and replace them with participant IDs. HHalloc = Household corresponding to this sender ID IDerror = Absence or error in identifier component of report from a shared mobile number Derr = Absence or error in duration component of report Oerr = Absence or error in others sick component of report Dupe = If report has been identified to be one of multiple sent from a particular individual at a particular timepoint. DupeWin = If this report has been selected to be the 'winner' - i.e. the chosen report for an individual - At a particular timepoint. <strong>Munges</strong> In addition to the generalised data cleaning performed, reports from households 6 and 8 required minor modifications to identifier details to compensate for changes in mobile phone numbers used over the course of the study.<br><b>Confidentiality</b>Some reports have been manually modified to exclude names written within reports and thus ensure confidentiality for all participants. Such modifications take the form of replacing mentions of a participant name with their corresponding 'UniqID' identifier in the ID dataframe.
DOI: 10.6084/m9.figshare.1507552
title: Data Carpentry Moore Foundation Grant Proposal

description: The text of the proposal to the Moore Foundation for the support of Data Carpentry.
DOI: 10.6084/m9.figshare.1512834.v77
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1507551.v1
title: Syndromic_reports

description: A combination of all mobile phone, and subsequently collected syndromic reports, with salient details extracted. <strong>Column meanings</strong> reportVect = The final report collected, following any corrections obtained from participants. Identifier = (If distinguishable) Identifying element of reports Symptoms = (If distinguishable) Symptoms in report DaysSick = (If distinguishable) Days sick in report OthSick = (If distinguishable) Others sick in report Sendingnumber = Coded sender number Recievedtime = Time of message reciept Mod = How report has been modified, on the basis of gathered corrections TSlot = Reporting timeslot in which report was recieved OrigText = Original text of report as initially recieved/manually added. Some reports were modified to remove participant names and replace them with participant IDs. HHalloc = Household corresponding to this sender ID IDerror = Absence or error in identifier component of report from a shared mobile number Derr = Absence or error in duration component of report Oerr = Absence or error in others sick component of report Dupe = If report has been identified to be one of multiple sent from a particular individual at a particular timepoint. DupeWin = If this report has been selected to be the 'winner' - i.e. the chosen report for an individual - At a particular timepoint. <strong>Munges</strong> In addition to the generalised data cleaning performed, reports from households 6 and 8 required minor modifications to identifier details to compensate for changes in mobile phone numbers used over the course of the study.<br><b>Confidentiality</b>Some reports have been manually modified to exclude names written within reports and thus ensure confidentiality for all participants. Such modifications take the form of replacing mentions of a participant name with their corresponding 'UniqID' identifier in the ID dataframe.
DOI: 10.6084/m9.figshare.1507550.v1
title: Household_Info

description: Basic demographic information from all reporting households, with Mobile.number corresponding to those recorded as Sendingnumber in the accompanying dataset. <strong>Columns:</strong> HHn = Household ID Mobile.number = Coded mobile phone number Reporter = If individual was sending reports themselves, or their reports were being sent by a household member owing to illiteracy etc. HHSize = Number of individuals in immediate household Age = Age of individual Sex = Sex of individual Share = If individual is utilising a shared mobile device for the sending of reportsIdentifier = Sharing identifier, if applicable.UniqID = ID Corresponding to a combination of mobile number and report sharing designation. Used throughout corresponding reporting dataset.
DOI: 10.6084/m9.figshare.1507552.v1
title: Data Carpentry Moore Foundation Grant Proposal

description: The text of the proposal to the Moore Foundation for the support of Data Carpentry.
DOI: 10.6084/m9.figshare.1507553.v1
title: Gaussian Job Archive for C50H80N4O9Zn2 - 104129

description: JobID: 104129 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1507542
title: Permeability for Columbia River Basalt Group, USA

description: Hydraulic conductivity estimatesfor CRBG aquifers were taken from the USGS National Water Information System (NWIS) database (Kahle et al. 2011) and converted to permeability estimates using temperature estimates from the nearest temperature profile log (Fig. 2). Temperature was estimated by using a best linear fit to the 100 m of borehole temperature log closest to the depth of the aquifer test. Viscosity and density were estimated as a function of temperature, and hydraulic conductivity was converted to permeability by multiplying by viscosity and dividing by the product of density and the gravitational acceleration constant (Fetter 1994, p. 96). Bulk permeability was computed using the layered system approximation (the arithmetic mean), assuming that the aquifer occupies 10% of the total thickness and that the permeability of the lava flow interiors is negligibly small. The detailed CRBG aquifer transmissivity estimates of Spane (2013) were also converted to estimated permeability (Fig. 4). First, estimated transmissivity was converted to bulk hydraulic conductivity by dividing by 30 m or the open length of the borehole, whichever was longer. Short open boreholes were assumed to test individual aquifers, so a typical lava flow thickness of 30 m was assumed to convert the aquifer test to a bulk permeability by using the layered system approximation (Fetter 1994, p. 123–124). Long open borehole tests (&gt;30 m) potentially intersected multiple aquifers and a representative length of confining unit. Temperature measured in these boreholes (Schroder & Strait 1987; McGrail et al. 2009; Spane et al. 2012) was used to correct viscosity and density, and permeability was computed and assigned to the middle of the test interval. Four boreholes have multiple packer tests vertically along the borehole length.
DOI: 10.6084/m9.figshare.1507524
title: nCUP10W

description: Neutrons at the CUP with 10.2cm collimator diameter. Momentum W (150million protons)
DOI: 10.6084/m9.figshare.1507522
title: nCUP10U

description: Neutrons at the CUP with 10.2cm collimator diameter. Momentum U (150million protons)
DOI: 10.6084/m9.figshare.1512834.v78
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1507520
title: nCUP10Z

description: Neutrons at the CUP with 10.2cm collimator diameter. Position Z (150million protons)
DOI: 10.6084/m9.figshare.1507522.v1
title: nCUP10U

description: Neutrons at the CUP with 10.2cm collimator diameter. Momentum U (150million protons)
DOI: 10.6084/m9.figshare.1507519
title: nCUP10Y

description: Neutrons at the CUP with 10.2cm collimator diameter. Position Y (150million protons)
DOI: 10.6084/m9.figshare.1507524.v1
title: nCUP10W

description: Neutrons at the CUP with 10.2cm collimator diameter. Momentum W (150million protons)
DOI: 10.6084/m9.figshare.1507518
title: nCUP10X

description: Neutrons at the CUP with 10.2cm collimator diameter. Position X (150million protons)
DOI: 10.6084/m9.figshare.1507519.v1
title: nCUP10Y

description: Neutrons at the CUP with 10.2cm collimator diameter. Position Y (150million protons)
DOI: 10.6084/m9.figshare.1507520.v1
title: nCUP10Z

description: Neutrons at the CUP with 10.2cm collimator diameter. Position Z (150million protons)
DOI: 10.6084/m9.figshare.1512834.v79
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1507516
title: nCUP10T

description: Neutrons at the CUP with 10.2cm collimator diameter. Time (150million protons)
DOI: 10.6084/m9.figshare.1507517
title: nCUP10E

description: Neutrons at the CUP with 10.2cm collimator diameter. Energy (150million protons)
DOI: 10.6084/m9.figshare.1507516.v1
title: nCUP10T

description: Neutrons at the CUP with 10.2cm collimator diameter. Time (150million protons)
DOI: 10.6084/m9.figshare.1507518.v1
title: nCUP10X

description: Neutrons at the CUP with 10.2cm collimator diameter. Position X (150million protons)
DOI: 10.6084/m9.figshare.1507513
title: nTOF3W

description: Neutrons at the CUP-TOF with 3cm collimator diameter. Momentum W (150million protons)
DOI: 10.6084/m9.figshare.1507515
title: nCUP10ID

description: Neutrons at the CUP with 10.2cm collimator diameter. ID (150million protons)
DOI: 10.6084/m9.figshare.1507517.v1
title: nCUP10E

description: Neutrons at the CUP with 10.2cm collimator diameter. Energy (150million protons)