LittorinaSaxatilis_AFLPs

The file LittorinaSaxatilis_AFLPs.txt correspond to the AFLP dataset used in this manuscript where we studied a hybrid zone of the marine gastropod Littorina saxatilis. It contains AFLP genotypes (1 for presence, 0 for absence, 9 for missing data). The first 4 columns contain ISLAND, ECOTYPE, POPULATION and INDIVIDUAL information. The rest of the columns represent the genotypes (0,1) of 1167 AFLP loci studied. The first row contains the loci names according to the analysis of outlier loci. The second row contains the loci names according to their primer combination and size in base pairs. The list of outlier loci detected for each island (RAMSÖ, RAMSHOLMEN)in this study is available in the file LittorinaSaxatilis_AFLPs_list_outliers.txt. The landmark data from the geometric morphometric analysis is available in the file LittorinaSaxatilis_LandmarkData.txt. The names of the INDIVIDUALS are the same as the names in the LittorinaSaxatilis_AFLPs.txt file. We studied E (exposed) and S (sheltered) Littorina saxatilis ecotypes from 2 islands from shores of Sweden. In each island we sampled one transect along the L. saxatilis hybrid zone which contained two parental populations (2S, 2E) at +27m and -27m from the hybrid population, two populations (1S, 1E) at +9m and -9m from the hybrid population and one hybrid population (H). LOCALITY: RAMSÖ, RAMSHOLMEN ECOTYPE: E (exposed), S (sheltered), H (hybrid) POPULATION: 2S, 1S, H, 1E, 2E INDIVIDUAL: This is the individual code. The sampling, AFLP analysis and genotyping have been performed by Johan Hollander ([email protected])

LittorinaSaxatilis_AFLPs_list_outliers

The list of outlier loci detected for each island (RAMSÖ, RAMSHOLMEN)in this study is available in the file LittorinaSaxatilis_AFLPs_list_outliers.txt

LittorinaSaxatilis_LandmarkData

The landmark data from the geometric morphometric analysis is available in the file LittorinaSaxatilis_LandmarkData.txt. The names of the INDIVIDUALS are the same as the names in the LittorinaSaxatilis_AFLPs.txt file

Expenditures on active and passive labour market policies in CR between 1993 and 2014

The aim of this bachelor thesis is to analyses expenditures on active and passive labour market policies (ALMP and PLMP) and to answer the question why there were changes in the proportion of expenditures on ALMP and PLMP in Czech Republic between 1993 and 2014. Thesis also aims to asses future (post-crissis) development of the expenditures on state labour market policy. The theoretical part of this work examines state employment policy and its division into ALMP and PLMP, focusing on Czech Republic and ALMP tools. The practical part of this thesis analyses both absolute and relative terms expenditures on ALMP and PLMP between 1993 and 2014 and puts them into relation with unemployment and GDP, with government objectives and other important facts (EU entry). The total amouth of expenditures on state labour parket policies has been rising since 1993. The proportion of expenditures on ALMP and PLMP was going through significant changes and the role of ALMP increases in time. Nevertheless, the average value of expenditures on PLMP for the entire period is almost twice the average expenditure on ALMP

list of capture sequencing probes

Table of 120bp probes used for capture sequencing. ref_contig = ID of targeted contig in L. saxatilis reference genome. start, end: start and end of probe sequence in the reference contig. study: study in which the targeted locus was first identified (EXP = gene expression study; RNA = RNAseq study; RAD = RADseq study; LSD = Littorina sequence database; for references please see main text, e.g. Table 1). type: outlier vs. control locus; SP, SW, UK: locus was outlier (1) or non-outlier (0) in earlier work Spain / Sweden / UK, respectively; probe: probe ID; original_locus: ID of targeted locus in the original work

per-locus alignments

Alignments for 253 loci targeted by capture sequencing. Each file represents one locus, and can consist of alignments for a single or for multiple concatenated reference genome contigs (see manuscript). The files are named by these reference genome contigs. More details about each locus (ID in the original study; type of original study; outlier status) can be found in probes.csv. Each individual in the alignment has two pseudo-haplotypes (H1 and H2). Naming of individuals is in accordance with read files and Figure 1 in the manuscript

Raw capture sequencing reads; Location: S; Ecotype: W

Raw capture sequencing reads for Littorina saxatilis from the original Spanish location (S), "wave" ecotype. Each fastq file represents reads from one individual

The motivation of medical students towards studies and affects on its changes during the studies

The thesis does not include an abstract in English The thesis does not include an abstract in English The thesis does not include an abstract in English The thesis does not include an abstract in English The thesis does not include an abstract in English The thesis does not include an abstract in English The thesis does not include an abstract in English The thesis does not include an abstract in English The thesis does not include an abstract in Englis

quantile_table

Table indicating whether targeted loci showed an Fst estimate above the 80% quantile of the control distribution in the current study. locus = ID of outlier / control locus in original study. contig = location in the current L. saxatilis reference genome. SP / SW / UK = indication whether the locus was an outlier in Spain / Sweden / UK in the original work (0 = non-outlier; 1 = outlier). type = control vs. outlier locus in the original study. S / B / ANG / OCK / T / W = indication whether the locus fell above the 80% quantile of the control Fst distribution in the current work in the six studied locations (TRUE = above, FALSE = below)

calculate_Fst

R script to calculate Fst per locus and location from the output of calculate_pi.py and calculate_dxy.py