cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp2/su15qj
title: Personal Income Statistics by top income share, as a share of the total, User File

description: Introduction The Personal Income Statistics present data on the distribution of income, deductions and tax credits by line item in the income tax return for the years 1992-2017. To ensure comparability over time, a consistent set of percentiles (vingtiles) are imputed for each year using a linear interpolation technique. This dataset This dataset shows the top income share as a share of the total for each item. This dataset is a Finances of the Nation user file, and is designed for use by everyone. The data are offered in a "wide" by percentile form, with separate sheets for each year, making them easy to read and interpret. Separate files are included for each province, and for all provinces as a whole. Data sources The data sources are: T1 Final Statistics of the Canada Revenue Agency (CRA). Methods CRA's nominal income ranges are converted to percentiles by linear interpolation on the cumulative distribution function of each line item. Certain line items have been aggregated to render them comparable over time. Future releases This dataset will be updated as new years of T1 Final Statistics are published. A user guide is forthcoming. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/cscw0i
title: Personal Income Statistics by income group, in inflation adjusted dollars per taxfiler, User File

description: Introduction The Personal Income Statistics present data on the distribution of income, deductions and tax credits by line item in the income tax return for the years 1992-2017. To ensure comparability over time, a consistent set of percentiles (vingtiles) are imputed for each year using a linear interpolation technique. This dataset This dataset shows the amount for each income group in inflation adjusted dollars (2019 dollars) per taxfiler. This dataset is a Finances of the Nation user file, and is designed for use by everyone. The data are offered in a "wide" by percentile form, with separate sheets for each year, making them easy to read and interpret. Separate files are included for each province, and for all provinces as a whole. Data sources The data sources are: T1 Final Statistics of the Canada Revenue Agency (CRA). Methods CRA's nominal income ranges are converted to percentiles by linear interpolation on the cumulative distribution function of each line item. Certain line items have been aggregated to render them comparable over time. Future releases This dataset will be updated as new years of T1 Final Statistics are published. A user guide is forthcoming. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/fgjwld
title: Personal Income Statistics by income group, in inflation adjusted dollars, User File

description: Introduction The Personal Income Statistics present data on the distribution of income, deductions and tax credits by line item in the income tax return for the years 1992-2017. To ensure comparability over time, a consistent set of percentiles (vingtiles) are imputed for each year using a linear interpolation technique. This dataset This dataset shows the amount for each income group in inflation adjusted dollars (2019 dollars). This dataset is a Finances of the Nation user file, and is designed for use by everyone. The data are offered in a "wide" by percentile form, with separate sheets for each year, making them easy to read and interpret. Separate files are included for each province, and for all provinces as a whole. Data sources The data sources are: T1 Final Statistics of the Canada Revenue Agency (CRA). Methods CRA's nominal income ranges are converted to percentiles by linear interpolation on the cumulative distribution function of each line item. Certain line items have been aggregated to render them comparable over time. Future releases This dataset will be updated as new years of T1 Final Statistics are published. A user guide is forthcoming. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/shaosm
title: Personal Income Statistics by income group, as a share of the total, User File

description: Introduction The Personal Income Statistics present data on the distribution of income, deductions and tax credits by line item in the income tax return for the years 1992-2017. To ensure comparability over time, a consistent set of percentiles (vingtiles) are imputed for each year using a linear interpolation technique. This dataset This dataset shows the amount for each income group as a percentage of the total. This dataset is a Finances of the Nation user file, and is designed for use by everyone. The data are offered in a "wide" by percentile form, with separate sheets for each year, making them easy to read and interpret. Separate files are included for each province, and for all provinces as a whole. Data sources The data sources are: T1 Final Statistics of the Canada Revenue Agency (CRA). Methods CRA's nominal income ranges are converted to percentiles by linear interpolation on the cumulative distribution function of each line item. Certain line items have been aggregated to render them comparable over time. Future releases This dataset will be updated as new years of T1 Final Statistics are published. A user guide is forthcoming. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/wrjaph
title: Personal Income Statistics by top income share, Public Master File

description: Introduction The Personal Income Statistics present data on the distribution of income, deductions and tax credits by line item in the income tax return for the years 1992-2017. To ensure comparability over time, a consistent set of percentiles (vingtiles) are imputed for each year using a linear interpolation technique. This dataset This dataset shows the top income share in inflation adjusted dollars (2019 dollars), inflation adjusted dollars per taxfiler, and as a share of the total. This dataset is the Finances of the Nation public master file, and is designed for use by advanced users. The data are formatted in a "long" by year, percentile, and province format, ideal for use by statistical software. Data sources The data sources are: T1 Final Statistics of the Canada Revenue Agency (CRA). Methods CRA's nominal income ranges are converted to percentiles by linear interpolation on the cumulative distribution function of each line item. Certain line items have been aggregated to render them comparable over time. Future releases This dataset will be updated as new years of T1 Final Statistics are published. A user guide is forthcoming. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/zhdcar
title: Personal Income Statistics by income group, Public Master File

description: Introduction The Personal Income Statistics present data on the distribution of income, deductions and tax credits by line item in the income tax return for the years 1992-2017. To ensure comparability over time, a consistent set of percentiles (vingtiles) are imputed for each year using a linear interpolation technique. This dataset This dataset shows income groups in inflation adjusted dollars (2019 dollars), inflation adjusted dollars per taxfiler, and as a share of the total. This dataset is the Finances of the Nation public master file, and is designed for use by advanced users. The data are formatted in a "long" by year, percentile, and province format, ideal for use by statistical software. Data sources The data sources are: T1 Final Statistics of the Canada Revenue Agency (CRA). Methods CRA's nominal income ranges are converted to percentiles by linear interpolation on the cumulative distribution function of each line item. Certain line items have been aggregated to render them comparable over time. Future releases This dataset will be updated as new years of T1 Final Statistics are published. A user guide is forthcoming. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/mg89im
title: Transfers User Files

description: Introduction This dataset contains federal transfers to each province and territory under each major federal transfer program from 1980 to present and, for the Equalization program, from 1957 to present. Data are normalized by dividing by provincial GDP and by population. The source data were created by the Department of Finance Canada. This dataset Included are XLSX files which present this data in nominal dollars, inflation adjusted dollars per capita (2019 dollars), and as a share of GDP for each province and territory. The data is presented in a long format. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/lzctff
title: Transfers Public Master File

description: Introduction This dataset contains federal transfers to each province and territory under each major federal transfer program from 1980 to present and, for the Equalization program, from 1957 to present. Data are normalized by dividing by provincial GDP and by population. The source data were created by the Department of Finance Canada. This dataset This public master file presents data in nominal dollars, inflation adjusted dollars per capita (2019 dollars), and as a share of GDP for each province and territory. The data is presented in a long format as a CSV file. More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/1wxibi
title: Federal Fiscal Balances user files

description: Introduction The Finances of the Nation Federal Fiscal Balances data reports the distribution of federal revenue and spending across provinces from 1961 to 2018. The precise methodology is described in Tombe (2019), “Final and Unalterable – But Up for Negotiation: Federal-Provincial Transfers in Canada,” Canadian Tax Journal 66(4): 871- 917. The “Adjusted Balance” reflects the extent to which federal finances are redistributive away from or towards a province by measuring its budget balance relative to the per capita national average. This dataset The data is presented in a format long by year and wide by province. Separate sheets are given for Revenue, Expenditure, Balance and Adjusted Balance. Different files are included to provide the following normalizations: nominal dollars, nominal dollars per capita, values as share of GDP and inflation adjusted per capita dollars (2018 dollars). More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/thycga
title: Federal Fiscal Balances public master file

description: Introduction The Finances of the Nation Federal Fiscal Balances data reports the distribution of federal revenue and spending across provinces from 1961 to 2018. The precise methodology is described in Tombe (2019), “Final and Unalterable – But Up for Negotiation: Federal-Provincial Transfers in Canada,” Canadian Tax Journal 66(4): 871- 917. The “Adjusted Balance” reflects the extent to which federal finances are redistributive away from or towards a province by measuring its budget balance relative to the per capita national average. This dataset The data is presented in a long format. The file includes the following normalizations: nominal dollars, nominal dollars per capita, values as share of GDP and inflation adjusted per capita dollars (2018 dollars). More information Please refer to www.financesofthenation.ca
DOI: 10.5683/sp2/qjgakr
title: Federal Debt user files

description: Introduction This data set is a component of FON's government REAL (revenue, expenditure, assets, and liabilities data). It presents measures of federal government net debt, gross debt, and financial assets from 1867 to March 31, 2020. Data sources The data sources are: 1867-2008: Statistics Canada, Table 10-10-0048 2009-present: Statistics Canada, Table 10-10-0002 Methods Data are presented in millions of nominal and real 2019 dollars, real per capita dollars, and as a share of GDP. Data on GDP, prices, and population come from a variety of sources.
DOI: 10.5683/sp2/vvplkl
title: Federal Debt public master file

description: Introduction This data set is a component of FON's government REAL (revenue, expenditure, assets, and liabilities data). It presents measures of federal government net debt, gross debt, and financial assets from 1867 to March 31, 2020. Data sources The data sources are: 1867-2008: Statistics Canada, Table 10-10-0048 2009-present: Statistics Canada, Table 10-10-0002 Methods Data are presented in millions of nominal and real 2019 dollars, real per capita dollars, and as a share of GDP. Data on GDP, prices, and population come from a variety of sources.
DOI: 10.5683/sp2/uwktrn
title: Disparities depression guideline development and implementation in low/middle- vs. high-income countries - Supplementary Materials

description: Supplementary Materials for manuscript titled, "Disparities in the development and implementation of guidelines for the management of depression in low- and middle- vs. high-income countries: a systematic review."
DOI: 10.5683/sp2/eclf3u
title: Data for Wang et al.

description: Data for Wang et al. Culture Influences the Development of Children’s Gender-Related Peer Preferences: Evidence from China and Thailand.
DOI: 10.5683/sp2/9evgns
title: Qian_et_al_IAT_study_DataAndCode_20200815

description: Data and code for Qian et al. IAT study
DOI: 10.5683/sp2/tognx2
title: Qian_et_al_RaceGenderGenderTypedBehavior_ASEB

description: Data and syntax for Qian et al. The effects of race, gender, and gender-typed behavior on children's friendship appraisals. Archives of Sexual Behavior.
DOI: 10.5683/sp2/b3hmpq
title: Replication Data for: Skorska et al. A Multi-Modal MRI Analysis of Cortical Structure in Relation to Gender Dysphoria, Sexual Orientation, and Age in Adolescents

description: Data files for "A Multi-Modal MRI Analysis of Cortical Structure in Relation to Gender Dysphoria, Sexual Orientation, and Age Among Adolescents"
DOI: 10.5683/sp2/pwbugh
title: Replication Data for: Thurston et al. Mental Rotation Task Performance in Relation to Sexual and Gender Diversity in Thailand

description: Data file and syntax for: Thurston et al. Mental Rotation Task Performance in Relation to Sexual and Gender Diversity in Thailand.
DOI: 10.5683/sp2/1oiwso
title: Healy2014 Louis2013~2015 radiosonde data

description: This dataset contains the icebreaker radiosonde data used in Planetary Boundary Layer Heights from Cruises in Spring to Autumn Chukchi-Beaufort Sea Compared with ERA5
DOI: 10.5683/sp2/6vapbf
title: Data Quality Flags for ACE-FTS Level 2 Version 4.0 Data Set

description: Data quality flags generated for the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) Level 2 (L2) version 4.0 data products. These data quality flags are generated using the technique described in Sheese et al. (2015).
DOI: 10.5683/sp2/zhgqoi
title: Data sets and simulations used for Model estimations of geophysical variability between satellite measurements of ozone profiles

description: Sampled ozone satellite data from ACE-FTS and OSIRIS and model simulations of ozone from CMAM30, EMAC and WACCM used in analysis for Sheese et al. "Model estimations of geophysical variability between satellite measurements of ozone profiles", Atmos. Meas. Tech., 14, 1425–1438, 2021. Analysis period is February 2004 - December 2010.
DOI: 10.5683/sp2/t3f7ni
title: Supplemental Table 1 - JAP submission

description: Supplemental table 1: Postprandial glucose and insulin responses over the full trial (6 hr)
DOI: 10.5683/sp2/y4jdlp
title: Numbers in Ancient Greek Historiography Project.

description: The Rubincam Numbers in Ancient Greek Historiography Project set out some 25 years ago to compile statistics on a standard set of aspects of every number in all the works of pagan Greek historiography produced between c. 500 BCE and c. 300 CE of which a substantial amount has survived in the manuscript tradition (works surviving only in fragments were necessarily excluded). The procedure involved the insertion into the text of a set of codes to capture a standard constellation of details concerning each number (the Type of Number, the Subject Category of the reference, the presence and Type of any Qualification), which facilitated the extraction of these data in a standard format. The data tables displayed here contain the coded numbers from the earliest six works in the project (Herodotus, Thucydides, Xenophon Anabasis and Hellenica, Polybius, and Diodorus Siculus). A key to the coding system is also provided. Additional data will be added as it becomes available.
DOI: 10.5683/sp2/tsjsqz
title: Disappearing Rivers of Toronto

description: Maps, geospatial data, and documentation relating to the web mapping project Disappearing Rivers.
DOI: 10.5683/sp2/q8s0hy
title: Comprehensive Portrait of Canada’s Most Age-Mature Population

description: This is a special package of 11 files (plus one read me file) that researchers, teachers and students can use in an effort to gain more insight about socio-demographic attributes, social relationships, and behaviour patterns among oldest-old population segments (say aged 80 or more).
DOI: 10.5683/sp2/ftqytv
title: Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019

description: Output of deep-learning model trained to predict dissolved inorganic carbon (DIC) in upper 4 km of the ocean south of -30 degrees (over the Southern Ocean). Data extends from 1993 to 2019 at 5-day temporal resolution over 1x1 degree horizontal grid and variable vertical spacing. Each individual file contains data for one year and includes grid and temporal information. Spatial mask is applied to exclude land, bottom topography, and regions of the ocean that are shallower than 1 km.
DOI: 10.5683/sp2/kj8iea
title: Moshkelgosha et al., "Interferon-stimulated and metallothionein-expressing macrophages are associated with acute and chronic allograft dysfunction after lung transplantation"

description: Single cell transcriptomes of bronchoalveolar lavage samples from 6 lung transplant recipients, and lung tissue from 4 patients undergoing retransplantation for chronic lung allograft dysfunction
DOI: 10.5683/sp2/loq2hq
title: The COVID-19 International Border Surveillance Cohort Study Public Dataset

description: Public use dataset from the COVID-19 International Border Surveillance Cohort Study.
DOI: 10.5683/sp2/s4fpyw
title: Predicting prolonged apnea during nurse-administered procedural sedation using machine learning

description: Data to accompany publication
DOI: 10.5683/sp2/z6gvh1
title: Audette et al 2021 - PAMIP data

description: The data here is the data necessary to reproduce the results shown in Audette et al 2021, "Opposite responses of the dry and moist eddy heat transport into the Arctic in the PAMIP experiments".
DOI: 10.5683/sp2/ndbw4k
title: Figure S4A

description: Raw image data before crop. BMK-DKO cells expressing CBcl-W transfected with VBimL or VBimL-4E A6= VBimL A20 = VBimL-4E Date= 20190212
DOI: 10.5683/sp2/piis0v
title: Figure S4B

description: BMK-DKO cells transfected with VBimL construct. Resulting 3D binding curve for replicate 1. Including Raw data (ROI level data) for 3D binding curve VBimL and "BclW_VBimL_3DBindingcurve.fig" = 3D binding curve that can be viewed/rotated in MATLAB. Also, combined binned data for 4 replicates of: H8= VBimL; and B19= VBimL4E. Replicate_Date acquired: Rep1_20190403 Rep2_20190404 Rep3_20190405 Rep4_20190406 For AZD-4320 raw binding curve data, see Figure 5.
DOI: 10.5683/sp2/ayz2t0
title: Figure 3

description: BMK-DKO cells expressing CBcl-2, transfected with VBH3 proteins. Data displayed in Figure 3 was generated from combining results of 4 screens: 1) BclXL_Bcl2_screen {Rep1_20180822, Rep2_20180823, Rep3_20180830, Rep4_20180831} 2) mim2_Bcl2_screen {Rep1_20190326, Rep2_20190327, Rep3_20190328, Rep4_20190329} 3) XL2W_screen {Rep1_20191108, Rep2_20191109, Rep3_20191110, Rep4_20191111} 4) PumaV_screen {Rep1_20200909, Rep2_20200910, Rep3_20200916, Rep4_20200917} -For each screen, see "Master Platemap" for screen design as well as data generated in qF3 analysis step 8_CombineBinnedReps: Here are, "combined_WellID_binnedReps_.csv" data files, that were fit to determine live cell Kds. Exported result from fitting these data is also included in, "CombinedBinnedReps_Results.xlsx". -Figure 3a-c shows the average of controls (VBH3 proteins and corresponding collisional control: VBH3-4E) included in each of these screens. (See "Summarized_CBcl2_ Results.xlsx").
DOI: 10.5683/sp2/onhxzz
title: Figure 3_plot binding curves

description: BMK-DKO cells expressing CBcl-2, transfected with VBH3 proteins and treated with BH3 mimetics. This folder contains each binding curve plotted in STEP 10 of qF3 analysis. Filename includes information: "Well ID_Donor Fusion Protein_Transfectant_Treatment_Treatment concentration". Where a decimal in concentration is replaced with a dash in the filename. ie. 1.25uM is 1-25uM. The Filename of the file corresponds to the data plotted in Red. Positive and Negative controls (VBH3 and VBH3-4E) are plotted on each graph for comparison in Blue and Grey, respectively. If the data could be fit, then fit is displayed on the graph. Data displayed in Figure 3 was generated from combining results of 4 screens: 1) BclXL_Bcl2_screen {Rep1_20180822, Rep2_20180823, Rep3_20180830, Rep4_20180831} 2) mim2_Bcl2_screen {Rep1_20190326, Rep2_20190327, Rep3_20190328, Rep4_20190329} 3) XL2W_screen {Rep1_20191108, Rep2_20191109, Rep3_20191110, Rep4_20191111} 4) PumaV_screen {Rep1_20200909, Rep2_20200910, Rep3_20200916, Rep4_20200917} - see, "Figure 3" Dataset in dataverse for associated .CSV files for each binding curve.
DOI: 10.5683/sp2/qn9c9r
title: Figure 4

description: BMK-DKO cells expressing CBcl-XL, transfected with VBH3 proteins treated with BH3 mimetics. Data displayed in Figure 4 was generated from combining results of 4 screens: 1) BclXL_Bcl2_screen {Rep1_20180822, Rep2_20180823, Rep3_20180830, Rep4_20180831} 2) mim2_BclXL_screen {Rep1_20190320, Rep2_20190321, Rep3_20190323, Rep4_20190325} 3) XL2W_screen {Rep1_20191108, Rep2_20191109, Rep3_20191110, Rep4_20191111} 4) PumaV_screen {Rep1_20200909, Rep2_20200910, Rep3_20200916, Rep4_20200917} -For each screen, see "Master Platemap" for screen design as well as data generated in qF3 analysis step 8_CombineBinnedReps: Here are, "combined_WellID_binnedReps_.csv" data files, that were fit to determine live cell Kds. Exported result from fitting these data is also included in, "CombinedBinnedReps_Results.xlsx". -Figure 4a-c shows the average of controls (VBH3 proteins and corresponding collisional control: VBH3-4E) included in each of these screens. (See "Summarized_CBclXL_ Results.xlsx").
DOI: 10.5683/sp2/nzjbcj
title: Figure 4_plot binding curves

description: BMK-DKO cells expressing CBcl-XL, transfected with VBH3 proteins treated with BH3 mimetics. This folder contains each binding curve plotted in STEP 10 of qF3 analysis. Filename includes information: "Well ID_Donor Fusion Protein_Transfectant_Treatment_Treatment concentration". Where a decimal in concentration is replaced with a dash in the filename. ie. 1.25uM is 1-25uM. The Filename of the file corresponds to the data plotted in Red. Positive and Negative controls (VBH3 and VBH3-4E) are plotted on each graph for comparison in Blue and Grey, respectively. If the data could be fit, then fit is displayed on the graph. Data displayed in Figure 4 was generated from combining results of 4 screens: 1) BclXL_Bcl2_screen {Rep1_20180822, Rep2_20180823, Rep3_20180830, Rep4_20180831} 2) mim2_BclXL_screen {Rep1_20190320, Rep2_20190321, Rep3_20190323, Rep4_20190325} 3) XL2W_screen {Rep1_20191108, Rep2_20191109, Rep3_20191110, Rep4_20191111} 4) PumaV_screen {Rep1_20200909, Rep2_20200910, Rep3_20200916, Rep4_20200917} - see, "Figure 4" Dataset in dataverse for associated .CSV files for each binding curve.