cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/xjaoc4/sazkuq
title: CRC_TA_VI_Core1797.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/sq2oeo
title: GraMa030_core00068.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/ti29pd
title: GraMa030_core00136.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/urepey
title: GraMa233_core00150.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/z0f1gz
title: 2018-06-26_database_CNNTrainingAndValidation.mat

description: :unav
DOI: 10.11588/data/xjaoc4/zilugs
title: CRC_TA_I_Core34.tiff

description: :unav
DOI: 10.11588/data/fnkj2y
title: Der arme Heinrich - digital
title: Transcriptions

description: Hartmann’s von Aue &lt;em&gt;Der arme Heinrich&lt;/em&gt;, composed towards the end of the 12th century, is a legendary tale of a man suffering from leprosy who is miraculously healed. This short story (ca. 1500 lines) is today rated as one of the classics, also in academic teaching.

Although the number of manuscripts preserved is quite small, the degree of textual variation between them is comparatively high, showing numerous additions, cuts, alterations, and position changes of groups of verses.

Find here the TEI transcriptions of the work.
description: Editorial Guidelines: http://digi.ub.uni-heidelberg.de/en/ahd/information/editionsprinzipien.html
DOI: 10.11588/data/fnkj2y/w3bv5g
title: DAH_Edition_TEI.xml
DOI: 10.11588/data/5zh1g4/qp4xfc
title: Vol_1_2.pdf

description: This volume has two parts: I Introduction and ackowledgements, Issues of compilation, Guideline to the Catalogue, Index of Artists (with multiple cross-references to alternative names or pseudonyms); Information resources, and II Catalogue. 
The artworks in the catalogue are categorized by their topic and described in the rows of a table with five columns : ARTIST; Year
& level; Title(s) (keyword) (after) (author)/ type/ medium, support/ dimension/ owner or auctioneer/ inventory or sale-lot nrs/ information sources/ comments; Record nr; Cat nr.
In the column ‘Title etc’ the forward slash / is used to split the different parts of the description of the artwork; parentheses (…) are used to clarify and angle brackets &lt; …&gt; are used for quotations found in the information sources.

The Record nr is identical to the RefNo in the CSV files and the ID in the Image-set, but is preceded by the letter R for reason of easy search in the PDF and is followed by letter V (void) if an image is missing (but in a few cases a screenshot of a descriptive text from an information source has been filed in the Image-set). Letter R is preceded by the sign * for a new record not included in the first edition Vol 1.1 of 2007.
Cat nrs are only given to entries describing works which comply to the rules of the Guideline.
DOI: 10.11588/data/5zh1g4/zwyihz
title: CSV Vol 1.2.tab

description: CSV format as exported from the DBMS 'ArtWorks - art cataloguing & presentation software Version 1.2 Build 25' Copyright 2002-2018 Belgrave Park Pty. Ltd.

If you want to import this .csv file on your computer and open it with Excel, please use the import dialogue (Field delimiter: Tabulator, Encoding: UTF-8). But if you only want to open it, use LibreOffice or go to the next CSV file .xlsx. Both files .csv and .xlsx have the same content.
DOI: 10.11588/data/5zh1g4
title: The Italian Venus revisited (Catalogue Vol. 1.2)
title: Thematic Research Collection of the Iconography of Venus from the Middle Ages to Modern Times

description: Topical catalogue of 6,985 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 1,876 identified Italian artists and their repetitions.
Categorized under 18 main Topics, with an Index of Artists and a list of Information Resources, including online sources, iconographic collections and bibliographical references - 618 pages.
description: ArtWorks-The Art Organizer, 1.2.25
description: Topical Catalogues of the Iconography of Venus from the Middle Ages to Modern Times
DOI: 10.11588/data/5zh1g4/lrbt0s
title: CSV Vol 1.2.xlsx

description: Excel format with description of 8874 artworks (Rows) in 18 fields (Columns): RefNo, InventoryNo, Artist, Title, Year, Description, Medium, LastValue, Dimension H, Dimension W, Dimension D, Type, Series, Status, DueBack, Client, Notes, Image Filename. The file was generated with the filter functionality of the DBMS (see File .csv) based on ‘RefNo contains’ letter 'i' (for 'Italian'). 
See Part I 'Guideline' in the PDF file of the catalogue for the methodology of the compilation. 
The total number 8874 of artworks is higher than the total number 6985 (Cat nr) of artworks with entry in the PDF file of the catalogue. Only those artworks with a Title-field starting with a numerical 1 to 18, corresponding to the 18 main topics categorized in the catalogues, have an entry in the catalogue. All other works have a Title-field which starts with a letter in upper case and do not get a Cat nr, though they are described in the PDFs with their Record nr (and thus searchable in the PDF) in Comments of the entry. All RefNo ending with letter 'a' following the letter 'i' were added in the DBMS since publication of the catalogue PDF file. Thus these are artworks to evaluate when revising the published catalogue after further comparative study. Occasionally letter 'n' or '?' following letter 'i' in RefNo is used to indicate preliminary rejection of the artwork, sometimes because the artist is not (yet) identified.
DOI: 10.48677/c9f42b4a-c9ef-435a-a702-570d5163283b
title: Flugortungskarte 1992

description: Zu einem wichtigen Bestandteil des Luftbildarchivs des BEV zählen die Flugortungskarten, die zum Auffinden der für ein Interessensgebiet notwendigen Messungsaufnahmen dienen.
Flugortungskarten sind Übersichten, die je Flugoperat erstellt werden und das jeweils beflogene Gebiet abbilden. Es wird die Lage der geflogenen Flugstreifen sowie die Bildmittenpunkte der Messungsaufnahmen dargestellt. Weiters werden die wesentlichen Informationen des Bildfluges (Flugtitel, Archivnummer, Brennweite, Flugdatum, Bildmaßstab, Filmtyp, Längs- sowie Querüberdeckung) angeführt.

Flugortungskarten stehen im Luftbildarchiv des BEV zu jedem Bildflug seit 1949 zur Verfügung.
DOI: 10.11588/data/x9uehb
title: Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]

description: Background &lt;p /&gt;
&lt;p /&gt;
Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study and reference populations. Here we develop a novel approach for genotype imputation in low-recombination regions that relies on the coalescent and permits to explicitly account for population demographic factors.&lt;p /&gt;

To test the new method, study and reference haplotypes were simulated and gene trees were inferred under the basic coalescent and also considering population growth and structure. The reference haplotypes that first coalesced with study haplotypes were used as templates for genotype imputation. Computer simulations were complemented with the analysis of real data. Genotype concordance rates were used to compare the accuracies of coalescent-based and standard (IMPUTE2) imputation.&lt;p /&gt;
&lt;p /&gt;
Results&lt;p /&gt;
&lt;p /&gt;
Simulations revealed that, in LD-blocks, imputation accuracy relying on the basic coalescent was higher and less variable than with IMPUTE2. Explicit consideration of population growth and structure, even if present, did not practically improve accuracy. The advantage of coalescent-based over standard imputation increased with the minor allele frequency and it decreased with population stratification. Results based on real data indicated that, even in low-recombination regions, further research is needed to incorporate recombination in coalescence inference, in particular for studies with genetically diverse and admixed individuals.&lt;p /&gt;
&lt;p /&gt;
Conclusions&lt;p /&gt;
&lt;p /&gt;
To exploit the full potential of coalescent-based methods for the imputation of missing genotypes in genetic studies, further methodological research is needed to reduce computer time, to take into account recombination, and to implement these methods in user-friendly computer programs. Here we provide reproducible code which takes advantage of publicly available software to facilitate further developments in the field.
description: SAS
DOI: 10.11588/data/x9uehb/41lc9h
title: 04_import_fromVCF_export_toSHAPEIT.sas

description: :unav
DOI: 10.11588/data/x9uehb/6dwaz7
title: Source_Code_Imputation_of_Missing_Genotypes_within_LD-Blocks_Relying_on_the_Basic_Coalescent_and_Beyond.pdf

description: Source code and documentation for 5 SAS programs
DOI: 10.11588/data/x9uehb/drevs9
title: 03_imputation_accuracy.sas

description: :unav
DOI: 10.11588/data/x9uehb/gogani
title: 01_import_fromMSMS_export_toBATWING.sas

description: :unav
DOI: 10.11588/data/x9uehb/nmvk1w
title: 05_import_SHAPEIT_export_toGENETREE.sas

description: :unav
DOI: 10.11588/data/x9uehb/thulmj
title: 02_import_fromBATWING_export_toSumTrees.sas

description: :unav
DOI: 10.11588/data/1kjedb
title: Calculation of Population attributable fraction Familial relative risk and Statistical power

description: Candidate gene studies have become very popular but some of their implicit constraints, such as the familial risk and the population attributable fraction (PAF) conferred by the gene under study, are poorly understood. We model here these parameters for susceptibility genes in terms of genotype relative risk (GRR), allele frequency and statistical power in simulated genetic association studies, assuming 500 or 2000 case-control pairs and different modes of inheritance. The results show that the common association studies on genes with minor allele frequency &gt;10% have sufficient power to detect disease-causing variants conferring PAFs &gt;10%, which can be compared to known genes, such as BRCA1 with a PAF of 1.8%. Yet, common low-risk variants confer low familial relative risks (FRRs), typically &lt;1.1. The models show that candidate gene studies may be able to identify genes conferring close to 100% of the PAF, but they may not explain the empirical FRRs. In order to explain FRRs, rare, high-penetrant genes or interacting combinations of common variants need to be uncovered. However, the candidate gene studies for common alleles do not target this class of genes. The results may challenge the common disease-common variant hypothesis, which posits common variants with low GRRs and large PAFs, however failing to accommodate the empirical FRRs.
DOI: 10.11588/data/1kjedb/zyjc0w
title: Calculation_of_Population_attributable_fraction_Familial_relative_risk_and_Statistical_power.txt

description: :unav
DOI: 10.11588/data/tt4vm3
title: Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]

description: The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombination patterns in the study population. By contrast, a maximization of genetic diversity in the reference panel has been recently proposed. We investigate here a novel strategy to select individuals for sequencing that relies on the characterization of the ancestral kernel of the study population. The simulated study scenarios consisted of several combinations of subpopulations from HapMap. HapMap individuals who did not belong to the study population constituted an external reference panel which was complemented with the sequences of study individuals selected according to different strategies. In addition to a random choice, individuals with the largest statistical depth according to the first genetic principal components were selected. In all simulated scenarios the integration of sequences from own‐study individuals increased imputation accuracy. The selection of individuals based on the statistical depth resulted in the highest imputation accuracy for European and Asian study scenarios, whereas random selection performed best for an African‐study scenario. Present findings indicate that there is no universal ‘best strategy’ to select individuals for sequencing. We propose to use the methodology described in the manuscript to assess the advantage of focusing on the ancestral kernel under own study characteristics (study size, genetic diversity, availability and properties of external reference panels, frequency of imputed variants…).
description: R
DOI: 10.11588/data/tt4vm3/9rstfx
title: step5.r

description: :unav
DOI: 10.11588/data/tt4vm3/q6sfxb
title: step1.r

description: :unav
DOI: 10.11588/data/tt4vm3/zgxhwo
title: Source_Code_Tailored_Selection_of_Study_Individuals_to_be_Sequenced_in_Order_to_Improve_the_Accuracy_of_Genotype_Imputation.pdf

description: :unav
DOI: 10.11588/data/0z7h1x
title: Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]

description: Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unusually young age. Robust methods are available to constrain outlier influence, but they are scarcely used in genetic studies. This article provides a non-intimidating introduction to robust logistic regression, and investigates its benefits and limitations in genetic association studies. We applied the bounded Huber and extended the R package ‘robustbase’ with the re-descending Hampel functions to down-weight outlier influence. Computer simulations were carried out to assess the type I error rate, mean squared error (MSE) and statistical power according to major characteristics of the genetic study and investigated markers. Simulations were complemented with the analysis of real data. Both standard and robust estimation controlled type I error rates. Standard logistic regression showed the highest power but standard GRR estimates also showed the largest bias and MSE, in particular for associated rare and recessive variants. For illustration, a recessive variant with a true GRR=6.32 and a minor allele frequency=0.05 investigated in a 1000 case/1000 control study by standard logistic regression resulted in power=0.60 and MSE=16.5. The corresponding figures for Huber-based estimation were power=0.51 and MSE=0.53. Overall, Hampel- and Huber-based GRR estimates did not differ much. Robust logistic regression may represent a valuable alternative to standard maximum likelihood estimation when the focus lies on risk prediction rather than identification of susceptibility variants.
description: R
DOI: 10.11588/data/0z7h1x/b7xdu8
title: Robust logistic regression to narrow down Supplement_3.docx

description: :unav
DOI: 10.11588/data/0z7h1x/hv2mbk
title: Source_Code_Robust_Logistic_Regression_to_Narrow_Down_the_Winners_Curse.pdf

description: :unav
DOI: 10.11588/data/idsi88
title: Subtypes of Native American ancestry and leading causes of death: Mapuche ancestry-specific associations with gallbladder cancer risk in Chile [Dataset]

description: Latin Americans are highly heterogeneous regarding the type of Native American ancestry. Consideration of specific associations with common diseases may lead to substantial advances in unraveling of disease etiology and disease prevention.&lt;P /&gt;

Here we investigate possible associations between the type of Native American ancestry and leading causes of death. After an aggregate-data study based on genome-wide genotype data from 1805 admixed Chileans and 639,789 deaths, we validate an identified association with gallbladder cancer relying on individual data from 64 gallbladder cancer patients, with and without a family history, and 170 healthy controls. Native American proportions were markedly underestimated when the two main types of Native American ancestry in Chile, originated from the Mapuche and Aymara indigenous peoples, were combined together. Consideration of the type of Native American ancestry was crucial to identify disease associations. Native American ancestry showed no association with gallbladder cancer mortality (P = 0.26). By contrast, each 1% increase in the Mapuche proportion represented a 3.7% increased mortality risk by gallbladder cancer (95%CI 3.1–4.3%, P = 6×10−27). Individual-data results and extensive sensitivity analyses confirmed the association between Mapuche ancestry and gallbladder cancer. Increasing Mapuche proportions were also associated with an increased mortality due to asthma and, interestingly, with a decreased mortality by diabetes. The mortality due to skin, bladder, larynx, bronchus and lung cancers increased with increasing Aymara proportions. Described methods should be considered in future studies on human population genetics and human health. Complementary individual-based studies are needed to apportion the genetic and non-genetic components of associations identified relying on aggregate-data.
DOI: 10.11588/data/idsi88/6ffgde
title: Validation_data_Subtypes_of_Native_American_Ancestry_and_Death.txt

description: Validation data (columns are tab-separated, variable names in the first row)
DOI: 10.11588/data/idsi88/hd2ryu
title: Aggregate-data_Subtypes_of_Native_American_Ancestry_and_Death.txt

description: Aggregate data (columns are tab-separated, variable names in the first row)
DOI: 10.11588/data/n64zx4/apc82g
title: CSV Vol 2.1.csv

description: CSV format as exported from the DBMS 'ArtWorks - art cataloguing & presentation software Version 1.2 Build 25' Copyright 2002-2018 Belgrave Park Pty. Ltd.

If you want to import this .csv file on your computer and open it with Excel, please use the import dialogue (Field delimiter: Tabulator, Encoding: UTF-8). But if you only want to open it, use LibreOffice or go to the next CSV file .xlsx. Both files .csv and .xlsx have the same content.
DOI: 10.11588/data/n64zx4/j3itck
title: CSV Vol 2.1.xlsx

description: Excel format with description of 6948 artworks (Rows) in 18 fields (Columns): RefNo, InventoryNo, Artist, Title, Year, Description, Medium, LastValue, Dimension H, Dimension W, Dimension D, Type, Series, Status, DueBack, Client, Notes, Image Filename. The file was generated with the filter functionality of the DBMS (see File .csv) based on ‘RefNo contains’ letter 'f' (for 'French'). 
See 'Guideline' in the PDF file of the catalogue for the methodology of the compilation. 
The total number 6948 of artworks is higher than the total number 2997 (Cat nr) of artworks with entry in the PDF file of the catalogue. Only those artworks with a Title-field starting with a numerical 1 to 18, corresponding to the 18 main topics categorized in the catalogues, have an entry in the catalogue. All other works have a Title-field which starts with a letter in upper case do not get a Cat nr, though they are described in the PDFs with their Record nr (and thus searchable in the PDF) in Comments of the entry. All RefNo ending with letter 'a' following the letter 'f' were added in the DBMS since publication of the catalogue PDF file. Thus these are artworks to evaluate when revising the published catalogue after further comparative study. Occasionally 'n' or '?' following letter 'f' in RefNo are used to indicate preliminary rejection of the artwork, sometimes because the artist is not (yet) identified.
DOI: 10.11588/data/n64zx4
title: The French Venus (Catalogue Vol. 2.1)
title: Thematic Research Collection of the Iconography of Venus from the Middle Ages to Modern Times

description: The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p.
description: ArtWorks-The Art Organizer, 1.2.25
description: Topical Catalogues of the Iconography of Venus from the Middle Ages to Modern Times
DOI: 10.11588/data/n64zx4/omesoo
title: Vol_2_1.pdf

description: The topical catalogue 'The French Venus'in the series 'The Iconography of Venus from the Middle Ages to Modern Times' lists 2997 artworks (sculptures, reliefs, paintings, frescos, drawings, prints and illustrations) of 977 identified French artists. The date of creation, artist's name, title(s), type, medium/support and dimension of the artwork, the owner, inventory number and information sources are given. The catalogue is ordered chronologically under the 18 main topics and many more subtopics of the rich iconography of Venus. An index of artists, a directory of owners and an extensive bibliography are included. 196 p. (2009)
DOI: 10.11588/data/rxgoer/unmdic
title: CSV Vol 3.1.csv

description: CSV format as exported from the DBMS 'ArtWorks - art cataloguing & presentation software Version 1.2 Build 25' Copyright 2002-2018 Belgrave Park Pty. Ltd.

If you want to import this .csv file on your computer and open it with Excel, please use the import dialogue (Field delimiter: Tabulator, Encoding: UTF-8). But if you only want to open it, use LibreOffice or go to the next CSV file .xlsx. Both files .csv and .xlsx have the same content.
DOI: 10.11588/data/rxgoer/49sg4p
title: CSV Vol 3.1.xlsx

description: Excel format with description of 4161 artworks (Rows) in 18 fields (Columns): RefNo, InventoryNo, Artist, Title, Year, Description, Medium, LastValue, Dimension H, Dimension W, Dimension D, Type, Series, Status, DueBack, Client, Notes, Image Filename. The file was generated with the filter functionality of the DBMS (see File .csv) based on ‘RefNo contains’ letter 'c'. 
See 'Guideline' in the PDF file of the catalogue for the methodology of the compilation. 
The total number 4161 of artworks is higher than the total number 2636 (Cat nr) of artworks with entry in the PDF file of the catalogue. Only those artworks with a Title-field starting with a numerical 1 to 18, corresponding to the 18 main topics categorized in the catalogues, have an entry in the catalogue. All other works have a Title-field which starts with a letter in upper case do not get a Cat nr, though they are described in the PDFs with their Record nr (and thus searchable in the PDF) in Comments of the entry. All RefNo ending with letter 'a' following the letter 'c' were added in the DBMS since publication of the catalogue PDF file. Thus these are artworks to evaluate when revising the published catalogue after further comparative study. Occasionally 'n' or '?' following letter 'c' in RefNo are used to indicate preliminary rejection of the artwork, sometimes because the artist is not (yet) identified.
DOI: 10.11588/data/rxgoer
title: The Venus of the Low Countries (Catalogue Vol. 3.1)
title: Thematic Research Collection of the Iconography of Venus from the Middle Ages to Modern Times

description: Compilation of 2636 artworks (sculptures, reliefs, paintings, frescoes, drawings, prints and illustrations) of 728 identified artists of the Low Countries, from the Middle Ages to Modern Times. With an Index of Artists, a Directory of Owners and an extensive Bibliography. 202 pp.
description: ArtWorks-The Art Organizer, 1.2.25
description: Topical Catalogues of the Iconography of Venus from the Middle Ages to Modern Times