cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p4zptr98dh.1
title: Research data supporting "Machine learning in the processing of historical census data"

description: This collection of data contains ground-truth (gold standard) datasets for the employment status reconstruction problem of historical census data. Different machine learning methods can be tested and compared with these datasets as described in the paper "Machine learning in the processing of historical census data" by Montebruno, P., Bennett, R, Smith, H., and van Lieshout, C., an outcome of the ESRC project ES/M010953: Drivers of Entrepreneurship and Small Businesses lead by PI Prof. Robert J. Bennett. The material consists of three raw text files (1. and 2. are random samples). No census identification of individuals variable (RecID) is given so that the datasets are fully anonymised and it is not possible to track the individuals in each of the files. Below the variables descriptors: 1."1891 1000 Ent". 1891 Census of England and Wales economically active individuals: 1,000 labelled Entrepreneurs (500 labelled Employers and 500 labelled Own account business proprietors) and 1,000 labelled workers. Labelling derives from the known employment status reported on the night of the Census, for the later 1891-1911 censuses; using the reported crosses in the columns of the 1891 Census Enumerators' Books (CEBs). 2."1851 1000 Ent". 1851 Census of England and Wales economically active individuals: 1,000 labelled Entrepreneurs (500 labelled Employers and 500 labelled Own accounts) and 1,000 labelled workers. Labelling using clerical control of the occupational strings for the extracted Groups of business proprietors in the 1851 Census. 3."1851 MAX(Extracted)". 1851 Census of England and Wales economically active individuals: 70,872 labelled Entrepreneurs (35,436 labelled Employers and 35,436 labelled Own accounts) and 70,872 labelled workers. A maximum possible balanced dataset, from all the employers and own account identified by extracted Groups (1 for Employers and 3 and 5 for Own account). Labelling using clerical control of the occupation strings for the extracted Groups of the 1851 Census. It is also included the key variable OccString with full occupation strings. A detailed explanation of how these datasets were obtained and how to use them in the context of machine learning reconstruction of the employment status problem of historical census data can be found in the paper "Machine learning in the processing of historical census data" by Montebruno, P., Bennett, R, Smith, H., and van Lieshout, C. (2020) Information Processing & Management. This dataset should be cited as: Montebruno, Piero; Bennett, Robert J.; Smith, Harry J.; van Lieshout, Carry (2020), “Research data supporting "Machine learning in the processing of historical census data" ”, Mendeley Data, http://dx.doi.org/10.17632/p4zptr98dh.1
DOI: 10.17632/tnf63kt4jf.1
title: Raw data to model the implementing positive security behavior for smart device users in Indonesia
DOI: 10.34725/dvn/v8fydn/7wmwyh
title: FormularioS- POBLADO.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/eqmqgc
title: FormularioR PRODUCTO.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/iaqvos
title: SL OVERVIEW FORM Spanish JPB.docx
DOI: 10.34725/dvn/v8fydn/jrjw5a
title: IM FORM 4_COMMUNITY OVERVIEW_august 2014_ESP.docx
DOI: 10.34725/dvn/v8fydn/mz7zfu
title: SOP form PER-BOL2.docx
DOI: 10.34725/dvn/v8fydn/srslve
title: WAM_Product_Raw.tab
DOI: 10.34725/dvn/v8fydn/w8mkyz
title: FormularioA-ASFORESTAL.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/ygsked
title: IM FORM 4_COMMUNITY OVERVIEW_august 2014_ESP.docx
DOI: 10.5281/zenodo.3625043
title: IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd0t00_A20, Data: XCT

description: Sample ID: LFA_Rd0t00_A20 X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment. The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order. This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach. This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample. The samples in the batch are named as follows. Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8 Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.
DOI: 10.5281/zenodo.3625044
title: IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd0t00_A20, Data: XCT

description: Sample ID: LFA_Rd0t00_A20 X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment. The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order. This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach. This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample. The samples in the batch are named as follows. Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8 Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.
DOI: 10.17632/2n5x7zfp9c.1
title: Worldwide trade and logistic indicators dataset from 2007 - 2018

description: The data used for the regression analyzed is collected via the data’s publisher website, which includes the UN Comtrade, International Monetary Fund (IMF), World Economic Forum, UNCTAD and the World Bank. Data from international organizations are used in order to provide consistency of the data collection process. The data ranges from 2007 to 2018 for all countries worldwide. Countries with missing data for any particular year is then eliminated from the final dataset that is used to run ANOVA.
DOI: 10.17632/76knkx3fzv.1
title: ReCAN Data - Reverse engineering of Controller Area Networks

description: Abstract --------- This article details the methodology and the approach used to extract and decode the data obtained from the Controller Area Network (CAN) buses in three personal vehicles and four commercial trucks. The dataset is composed of two complementary parts, namely the raw data and the decoded ones. Along with the description of the data, this article also reports both hardware and software requirements to firstly extract the data from the vehicles and secondly decode the binary data frames to obtain the actual sensors' data. Finally, necessary code snippets have been described in pseudo-code and will be publicly available in a code repository. Preliminary results suggest that motivated enough actors may intercept, interact and recognize the vehicle data with consumer-grade technology, ultimately refuting, once-again, the security-through-obscurity paradigm used by automotive manufacturer as main defensive countermeasure. Keywords ---------- Automotive; Controller Area Network (CAN); Reverse Engineering; Dataset Type of data ------------- - RAW: CSV files with timestamp, CANline, ECU identifier, binary data - Decoded: CSV files with timestamp, CANline, ECU identifier, variable, value How data where acquired ---------------------------- Controller Area Network (CAN) buses have been accessed using a standard CAN connector and a CANtact board. The CAN Utils library, publicly available in the Linux Kernel, has been used to intercept the network traffic of the vehicle. Sensors data have been decoded using state-of-the-art algorithm. Source code for each step of the analysis is publicly available in the repository, as specified below. Parameters: - Cars: 500k baudrate, connected o the OBD-II port of each vehicle. - Trucks: 500k baudrate, connected both to the OBD-II port and to a second wire into a second CAN bus. Source code ------------- - Repository: TBA - Identification number: TBA - URL: TBA Acknowledgments -------------------- This study was founded by a predoctoral grant from the Spanish National Cybersecurity Institute (INCIBE) within the program "Ayudas para la Excelencia de los Equipos de Investigación Avanzada en Ciberseguridad" ("Grants for the Excellence of Advanced Cybersecurity Research Teams"), with code INCIBEI-2015-27353; a predoctoral travel grant within the program "Ayudas para estancias en el estranjero de alumnos de doctorado en las líneas de actuación de Campus Mare Nostrum" ("Grants for stays abroad of Ph.D. students within the lines of action of Campus Mare Nostrum'').
DOI: 10.34725/dvn/v8fydn/9uneb9
title: IM FORM 2 STAKEHOLDER OGANIZATION_aug 2014_ESP.docx
DOI: 10.34725/dvn/v8fydn/f7tyg7
title: 2.FormularioS- POBLADO.7z

description: CSPRo data entry template
DOI: 10.34725/dvn/v8fydn/lgtpgd
title: 0.Disclaimer.pdf
DOI: 10.34725/dvn/v8fydn/qqmfyi
title: 2.FormularioR PRODUCTO.7z

description: CSPRo data entry template
DOI: 10.34725/dvn/v8fydn/ry6ma9
title: 1.FormularioA-ASFORESTAL.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/xd5qgf
title: 1.IM FORM 2 STAKEHOLDER OGANIZATION_aug 2014_ESP.docx
DOI: 10.34725/dvn/v8fydn/yvlll2
title: SOP form PER-BOL2.docx
DOI: 10.34725/dvn/v8fydn/zckch9
title: 1.FormularioS- POBLADO.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/zekw6x
title: 4.WAM_Association_ver-1.tab
DOI: 10.17632/4j9mrxk875.1
title: MacroData

description: MacroData
DOI: 10.17632/7t3y7j6hh8.1
title: MicroData

description: MicroData
DOI: 10.17632/ccb5mkpkz5.1
title: qPCR data for reference gene selection in tomato leaf tissue infected with Tomato curly stunt virus

description: qPCR data for Actin7 (ACT), Β-6 Tubulin (TUB), Ubiquitin 3 (UBI), Clathrin adaptor complexes medium subunit (CAC), Phytoene desaturase (PDS), Expressed protein (EXP), Glyceraldehyde-3-phosphate dehydrogenase(GAPDH), Adenine phosphoribosyl transferase-like protein (APT1), TAP42-interacting protein (TIP41) and Elongation factor 1-alpha (EF1α) , measure in tomato leaf tissue infected with Tomato curly stunt virus.
DOI: 10.17632/p52dpmbb8v.1
title: MPDroid

description: A raw data set for risk identification of Android application
DOI: 10.17632/p52dpmbb8v.2
title: MPDroid

description: A raw data set for risk identification of Android application
DOI: 10.34725/dvn/v8fydn/jpgdsu
title: FormularioF-BOSQUE.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/mvq5nz
title: WAM_Product_Raw.tab
DOI: 10.34725/dvn/v8fydn/ogqytw
title: Disclaimer.pdf
DOI: 10.34725/dvn/v8fydn/oigerp
title: 1.FormularioS- POBLADO.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/s5q5ld
title: 1.SL OVERVIEW FORM Spanish JPB.docx
DOI: 10.34725/dvn/v8fydn/vkah5f
title: SOP form PER-BOL2.docx
DOI: 10.34725/dvn/v8fydn/vvkzvo
title: 2.FormularioA-ASFORESTAL.7z

description: CSPRo data entry template
DOI: 10.34725/dvn/v8fydn/wili6w
title: 3.WAM_Product_Raw.tab
DOI: 10.17632/2kw7tgph94.1
title: Astrocyte-derived extracellular vesicles enhance the electrophysiological function and cell survival of human cortical neurons in vitro

description: The immunostained image analysis of neurons created, NTA analysis of obtained EVs, image-based demonstration of EV-uptake by neurons, FACS analysis to quantify apoptotic behavior of cultures of interest, beta-galactosidase result to explain cell senescence status in each group, patch clamp experiment result to demonstrate the electrophusiological effect of astroglial EV treatment.
DOI: 10.17632/wwgw5vsfg3.1
title: Data set of users’ perceptions about the services provided by a Library

description: The following question is alive: how to evaluate the users’ satisfaction regarding the services provided by a library? Duarte and Costa [1] proposed and applied a framework evaluating the satisfaction of the users of a library, regarding the library services. That proposal was organized into three steps: a systematized literature review that has supported the construction of a questionnaire; a data collection though applying the questionnaire to a sample; and, the analysis of the data collected. The results from the literature review were the input for defining the questionnaire for evaluating the users’ satisfaction. Here we describe ta full dataset containing the perceptions of users about the services provided by a library specialized in the field of nuclear technology, sited in Rio de Janeiro Brazil. The sample was composed of 117 respondents of whom 94 returned forms. This data was also used in Costa and Duarte [2] to support the validation of use of ELECTRE ME as a method to evaluate quality of services in a multicriteria and multiple evaluator environment.
DOI: 10.34725/dvn/v8fydn/est1vr
title: 3.WAM_Product_Raw.tab
DOI: 10.34725/dvn/v8fydn/f1orkx
title: 1.FormularioA-ASFORESTAL.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/gw7qsk
title: WAM_Forest_Raw.tab
DOI: 10.34725/dvn/v8fydn/hmsrbe
title: 2.FormularioF-BOSQUE.7z

description: CSPRo data entry template
DOI: 10.34725/dvn/v8fydn/p97sow
title: 4.WAM_Product_ver.tab
DOI: 10.34725/dvn/v8fydn/ucmdnr
title: WAM_Association_Raw.tab
DOI: 10.34725/dvn/v8fydn/v1pzft
title: 2.FormularioS- POBLADO.7z

description: CSPRo data entry template
DOI: 10.34725/dvn/v8fydn/ylepfc
title: SL OVERVIEW FORM Spanish JPB.docx
DOI: 10.34725/dvn/v8fydn/zlcer2
title: IM FORM 2 STAKEHOLDER OGANIZATION_aug 2014_ESP.docx
DOI: 10.17632/4t8c4bmw5p.2
title: Medullary, pontine and mesencephalic pathology in ALS and PLS: the segmental brainstem profile of motor neuron disease

description: Brainstem pathology is a pathognomonic feature of ALS encompassing lower cranial nerve and descending corticospinal tract degeneration. Post mortem studies have highlighted macroscopic brainstem atrophy in ALS since the earliest descriptions of the disease [1, 2], and brainstem involvement is a stage-defining feature of pathological TDP-43 burden [3]. Despite the plethora of recent imaging studies in ALS [4, 5], brainstem alterations are poorly characterised radiologically. The majority of imaging papers in ALS and PLS focus on cortical atrophy patterns [6-9], telencephalic white matter degeneration [8, 10-12], basal ganglia [13-16] and spinal cord pathology [17-19]. The quantitative assessment of brainstem changes in vivo offers the opportunity to assess longitudinal changes [20-22], explore correlations with clinical metrics [23, 24], and define the imaging signatures of specific motor neuron disease phenotypes [25, 26]. In a prospective, single-centre imaging study [27], we have acquired high-resolution imaging data for 100 patients with amyotrophic lateral sclerosis (ALS), 33 patients with primary lateral sclerosis (PLS), 30 patients with frontotemporal dementia (FTD) and 100 healthy controls (HC) using a standardised imaging protocol [13]. ALS patients were scanned longitudinally 4 months apart. T1-weighted imaging data were acquired with a 3D Inversion Recovery prepared Spoiled Gradient Recalled echo (IR-SPGR) pulse sequence on a 3 Tesla MRI system. Following quality control and standard pre-processing steps [15, 28], a Bayesian parcellation algorithm was utilised to segment the brainstem into the medulla oblongata, pons and mesencephalon [29]. Raw volumetric data are presented for each brainstem segment, stratified by study-group membership as supplementary information to our recent research paper. [27] Our data demonstrate that segmental and progressive brainstem pathology can be readily detected in vivo in ALS and our findings also confirm considerable brainstem atrophy in PLS. [13, 30] The interpretation of our volumetric data is aided by the availability of reference data sets from healthy- and disease-controls. Reference (original research paper): Bede P, Chipika RH, Finegan E, Li Hi Shing S, Doherty MA, Hengeveld JC, Vajda A, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O, Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study. NeuroImage Clinical. 24 (2019):102054. Epub 2019/11/12. https://doi.org/10.1016/j.nicl.2019.102054.
DOI: 10.17632/4t8c4bmw5p.3
title: Medullary, pontine and mesencephalic pathology in ALS and PLS: the segmental brainstem profile of motor neuron disease

description: Brainstem pathology is a pathognomonic feature of ALS encompassing lower cranial nerve and descending corticospinal tract degeneration. Post mortem studies have highlighted macroscopic brainstem atrophy in ALS since the earliest descriptions of the disease, and brainstem involvement is a stage-defining feature of pathological TDP-43 burden. Despite the plethora of recent imaging studies in ALS, brainstem alterations are poorly characterised radiologically. The majority of imaging papers in ALS and PLS focus on cortical atrophy patterns, telencephalic white matter degeneration, basal ganglia and spinal cord pathology. The quantitative assessment of brainstem changes in vivo offers the opportunity to assess longitudinal changes, explore correlations with clinical metrics, and define the imaging signatures of specific motor neuron disease phenotypes. In a prospective, single-centre imaging study, we have acquired high-resolution imaging data for 100 patients with amyotrophic lateral sclerosis (ALS), 33 patients with primary lateral sclerosis (PLS), 30 patients with frontotemporal dementia (FTD) and 100 healthy controls (HC) using a standardised imaging protocol. ALS patients were scanned longitudinally 4 months apart. T1-weighted imaging data were acquired with a 3D Inversion Recovery prepared Spoiled Gradient Recalled echo (IR-SPGR) pulse sequence on a 3 Tesla MRI system. Following quality control and standard pre-processing steps, a Bayesian parcellation algorithm was utilised to segment the brainstem into the medulla oblongata, pons and mesencephalon. Raw volumetric data are presented for each brainstem segment, stratified by study-group membership as supplementary information to our recent research paper (Reference 1). Our data demonstrate that segmental and progressive brainstem pathology can be readily detected in vivo in ALS and our findings also confirm considerable brainstem atrophy in PLS. The interpretation of our volumetric data is aided by the availability of reference data sets from healthy- and disease-controls. Reference 1 - the original research paper with methodological details: Bede P, Chipika RH, Finegan E, Li Hi Shing S, Doherty MA, Hengeveld JC, Vajda A, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O, Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study. NeuroImage Clinical. 24 (2019):102054. Epub 2019/11/12. https://doi.org/10.1016/j.nicl.2019.102054.
DOI: 10.17632/r4rx4pykxf.1
title: Mars: Orbital Angular Momentum for Orbit-Spin Coupling Studies of GDS

description: These data accompany the JGR-Planets paper by Shirley et al. (2019JE006077), which is a study of the historic record of global-scale dust storms (GDS) on Mars. Calculation of the dynamical quantities is described in the above cited paper and in Shirley, J.H. (2017). Orbit-spin coupling and the circulation of the Martian atmosphere, Planetary and Space Science 141, 1–16. doi: 10.1016/j.pss.2017.04.006 and in Mischna, M. A., & Shirley, J. H. (2017). Numerical Modeling of Orbit-Spin Coupling Accelerations in a Mars General Circulation Model: Implications for Global Dust Storm Activity, Planetary and Space Science 141, 45–72. doi: 10.1016/j.pss.2017.04.003. Archived files include one PDF file with Supplementary Information and one Excel spreadsheet with time series of ecliptic coordinates of the time derivatives of the Martian orbital angular momentum with respect to the solar system barycenter for the years 1870-2030. These data were used for the plots and analyses of (2019JE006077).
DOI: 10.17632/tfc9twyhh6.1
title: Dataset for Bioethanol production from sugarcane press-mud: Analysis of pretreatment conditions and H2 potential

description: This data shows the raw data of the carbohydrate and reducing sugar content after hydrolysis, sterilization, and fermentation of sugarcane press-mud. Likewise, this data shows the ethanol and fusel alcohol profile after fermentation of the hydrolysate recovered from sugarcane press-mud. Fermentation was carried out at 30 ºC and 48h in a Bioscreen by using Saccharomyces cerevisiae. Statistical analysis of those results are shown. Besides, data from the HMF and liquid recovery is shown. Mass balance and hydrogen potential is shown for the best conditions.
DOI: 10.34725/dvn/v8fydn/8mslk3
title: 1.IM FORM 2 STAKEHOLDER OGANIZATION_aug 2014_ESP.docx
DOI: 10.34725/dvn/v8fydn/eahsmu
title: 1.IM FORM 1_SE UNIT OVERVIEW_august 2014_ESP.docx
DOI: 10.34725/dvn/v8fydn/i3bcgh
title: SL OVERVIEW FORM Spanish JPB.docx
DOI: 10.34725/dvn/v8fydn/jjrp1t
title: WAM_Settlement_Raw.tab
DOI: 10.34725/dvn/v8fydn/mwjcz5
title: WAM_Association_Raw.tab
DOI: 10.34725/dvn/v8fydn/qwuybh
title: FormularioS- POBLADO.7.12.13.SP-JPB.docx
DOI: 10.34725/dvn/v8fydn/tpmly4
title: 4.WAM_Settlement_ver.tab
DOI: 10.34725/dvn/v8fydn/x4pog3
title: IM FORM 3_COMMUNITY LAND MANAGEMENT ORG_august 2014_ESP.docx
DOI: 10.34725/dvn/v8fydn/zgxnql
title: 2.FormularioA-ASFORESTAL.7z

description: CSPRo data entry template