cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zd3drh
title: Occurrence Download

description: A dataset containing 17449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reynoutria sachalinensis (F.Schmidt) Nakai",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is False",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is less than 180",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 17449 records from 315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0424892-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6qhjt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aspidaspis florenciae (Coleman, 1903)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Switzerland",
 "Country is Switzerland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0396205-210914110416597/datasets/export for details.
DOI: 10.15468/dl.38c8cv
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Talinum portulacifolium (Forssk.) Asch. ex Schweinf."
 ]
}

 The dataset includes 574 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004505-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bs7cgv
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nyctophilus walkeri Thomas, 1892"
 ]
}

 The dataset includes 316 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086529-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abqbqd
title: Occurrence Download

description: A dataset containing 4705 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Syzygium cumini (L.) Skeels)"
 ]
}

 The dataset includes 4705 records from 274 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0364393-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/eurd2e/0ohf3g
title: 20200107_KHO_REDOBS_gal.txt
DOI: 10.18710/eurd2e/9pn2kx
title: 20201105_KHO_REDOBS_gal.txt
DOI: 10.18710/eurd2e/cv0wfl
title: 20200823_KHO_REDOBS_glo.txt
DOI: 10.18710/eurd2e/dvnv2y
title: 20201021_KHO_REDOBS_gps.txt
DOI: 10.18710/eurd2e/n10lrf
title: 20200823_KHO_REDOBS_gps.txt
DOI: 10.18710/eurd2e/spcbgw
title: 20201016_KHO_REDOBS_glo.txt
DOI: 10.18710/eurd2e/z6nl37
title: 20201214_KHO_REDOBS_gps.txt
DOI: 10.18710/omf3ux/xbmr3w
title: 00_readme.txt
DOI: 10.18710/pigssk/dfwznr
title: 20200905_BJN_REDTEC_gps.txt
DOI: 10.18710/pigssk/smb3js
title: 20200303_BJN_REDTEC_gps.txt
DOI: 10.18710/pigssk/uls5jh
title: 20200520_BJN_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/1axpom
title: PLAG108.stl
DOI: 10.18710/q0f8pa/3vmzzn
title: PLAG142.stl
DOI: 10.18710/q0f8pa/7kcsy8
title: PLAG16.stl
DOI: 10.18710/q0f8pa/eabs3f
title: OPX161.stl
DOI: 10.18710/q0f8pa/h2l0x3
title: OPX219.stl
DOI: 10.18710/q0f8pa/iub0e1
title: PLAG37.stl
DOI: 10.18710/q0f8pa/kj2alm
title: PLAG124.stl
DOI: 10.18710/q0f8pa/m5ku6d
title: OPX135.stl
DOI: 10.18710/q0f8pa/ni7qc0
title: PLAG68.stl
DOI: 10.18710/q0f8pa/o68ekf
title: PLAG15.stl
DOI: 10.18710/q0f8pa/peceis
title: PLAG33.stl
DOI: 10.18710/q0f8pa/qvsws5
title: PLAG73.stl
DOI: 10.18710/q0f8pa/wf0vek
title: OPX133.stl
DOI: 10.18710/q0f8pa/wmrdgh
title: PLAG162.stl
DOI: 10.18710/q0f8pa/xtzqrd
title: PLAG22.stl
DOI: 10.18710/q0f8pa/yeqoi3
title: PLAG87.stl
DOI: 10.18710/q0f8pa/zcvv9e
title: PLAG120.stl
DOI: 10.18710/eurd2e/cqz1ky
title: 20201005_KHO_REDOBS_gal.txt
DOI: 10.18710/typjxu/1fgxij
title: plan708529.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/77p375
title: plan508526.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/8d0kxi
title: plan504510.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/dxcsf1
title: plan508513.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/sers5q
title: plantariusCurr.tif

description: projections from BLU model (see SDM.R)
DOI: 10.18710/5e8vui/cttqbx
title: SizeST_Day0_T4_2.pdf
DOI: 10.18710/5e8vui/hwn5ed
title: SizeST_Day15_fr_S0_1.pdf
DOI: 10.18710/5e8vui/s8xssp
title: SizeST_Day0_C1_2.pdf
DOI: 10.18710/5e8vui/vk6swi
title: SizeST_Day30_fr_T4_1.pdf
DOI: 10.18710/ckhioe/jnpegj
title: TGO_Ramfjordmoen_ionosonde_data_2019-10.PNG.zip
DOI: 10.18710/eurd2e/gkvoej
title: 20200106_KHO_REDOBS_gal.txt
DOI: 10.18710/eurd2e/vykwv6
title: 20201129_KHO_REDOBS_gps.txt
DOI: 10.18710/ihuvtb/doazwr
title: historical_and_rcp85_forcing_estimates.txt

description: Forcing estimates for the historical + RCP8.5 experiments
DOI: 10.18710/pigssk/2lzrdx
title: 20200414_BJN_REDTEC_glo.txt
DOI: 10.18710/pigssk/wp5g1s
title: 20200820_BJN_REDTEC_glo.txt
DOI: 10.18710/q0f8pa/48bk21
title: OPX-264.stl
DOI: 10.18710/q0f8pa/dq93ai
title: OPX-244.stl
DOI: 10.18710/q0f8pa/eompiv
title: OPX-85.stl
DOI: 10.18710/q0f8pa/jfjtrj
title: OPX-165.stl
DOI: 10.18710/q0f8pa/wly8fx
title: OPX-114.stl
DOI: 10.18710/typjxu/a4mmhq
title: mask_fimbPA.tif

description: mask (raster layer) of the calibration area of D. fimbriatus (see PA_preparation.R)
DOI: 10.18710/typjxu/aeeqe0
title: fimb504527.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/dugrkh
title: plan70455.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/g8azuz
title: fimb5045CS9.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/i9t9ro
title: plan7085CS30.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/iqc0m2
title: fimb5085CS30.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/jpoav0
title: plantariusCurr.tif

description: projections from Bioc model (see SDM.R)
DOI: 10.18710/typjxu/nmf4qz
title: fimb5085CS15.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/nsxt6x
title: fimb7085CS15.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/otmqxo
title: plan5045CS16.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/oypvvf
title: fimb5045CS7.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/rncsbl
title: plan708511.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/rujve5
title: fimb7045CS1.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/uo8fum
title: plantarius5085.tif

description: projections from Bioc model (see SDM.R)
DOI: 10.18710/typjxu/yb41ou
title: plan7045CS6.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/ykhkyc
title: plan7085CS15.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/0uk48s/jf0jse
title: 01_ReadMeFile.txt
DOI: 10.18710/eurd2e/b5uzh2
title: 20200104_KHO_REDOBS_gps.txt
DOI: 10.18710/ig0mmh/vfhfhb
title: 00_README.txt
DOI: 10.18710/q4dirk/ymmhkc
title: a_ 51.40_ 0.14-Fyze_all.eps
DOI: 10.18710/ujzfjc/icdd8k
title: 01_ReadMeFile.txt
DOI: 10.18710/zlw59w/ogeuom
title: 2_plotting_violin_plot_hidden_block_ko_vj.R

description: Plotting the results from the case study.
DOI: 10.18710/5e8vui/5jirdo
title: SizeST_Day60_fr_C1_2.pdf
DOI: 10.18710/5e8vui/6siswm
title: SizeST_Day0_S0_2.pdf
DOI: 10.18710/5e8vui/7lvaer
title: SizeST_Day0_C4_1.pdf
DOI: 10.18710/5e8vui/awbnzk
title: SizeST_Day0_C1_1.pdf
DOI: 10.18710/5e8vui/brtrxt
title: SizeST_Day0_T4_1.pdf
DOI: 10.18710/5e8vui/ckmllc
title: SizeST_Day15_RT_T2_1.pdf
DOI: 10.18710/5e8vui/dwder4
title: SizeST_Day60_fr_C3_1.pdf
DOI: 10.18710/5e8vui/k4olhm
title: SizeST_Day15_RT_T1_2.pdf
DOI: 10.18710/5e8vui/kzjeyq
title: SizeST_Day15_fr_C4_1.pdf
DOI: 10.18710/5e8vui/lyvpdm
title: SizeST_Day60_fr_T3_1.pdf
DOI: 10.18710/5e8vui/mj8k4t
title: SizeST_Day60_fr_C2_1.pdf
DOI: 10.18710/5e8vui/rrkekt
title: ISX_RAW_T1_50ugmL_6h_30-59.png
DOI: 10.18710/5e8vui/tfqthd
title: SizeST_Day15_RT_C2_1.pdf
DOI: 10.18710/5e8vui/tryxfl
title: 2_CellProliferation_RAW.txt
DOI: 10.18710/5e8vui/xzjm4w
title: SizeST_Day0_C3_1.pdf
DOI: 10.18710/5e8vui/yrcgp7
title: SizeST_Day0_C2_2.pdf
DOI: 10.18710/eurd2e/fqapc5
title: 20200206_KHO_REDOBS_glo.txt
DOI: 10.18710/kwyih2/d7xrfl
title: TGO_Ramfjordmoen_ionosonde_data_2020-01.SAO.zip
DOI: 10.18710/l60vdi
title: Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice

description: This data set contains the replication data for the article "Knowing and doing: The development of information literacy measures to assess knowledge and practice." This article was published in the Journal of Information Literacy, in June 2021.

The data was collected as part of the contact author's PhD research on information literacy (IL). One goal of this study is to assess students' levels of IL using three measures:

1) a 21-item IL test for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seeking information. The test is multiple choice, with four alternative answers for each item. This test is a "KNOW-measure," intended to measure what students know.

2) a source-evaluation measure to assess students' abilities to critically evaluate information sources in practice. This is a "DO-measure," intended to measure what students do in practice, in actual assignments.

3) a source-use measure to assess students' abilities to use sources correctly when writing. This is a "DO-measure," intended to measure what students do in practice, in actual assignments.

The data set contains survey results from 626 Norwegian and international students at three levels of higher education: bachelor, master's and PhD. The data was collected in Qualtrics from fall 2019 to spring 2020. 

In addition to the data set and this README file, two other files are available here:

1) test questions in the survey, including answer alternatives (IL_knowledge_tests.txt)

2) details of the assignment-based measures for assessing source evaluation and source use (Assignment_based_measures_assessing_IL_skills.txt)
description: Publication abstract:
This study touches upon three major themes in the field of information literacy (IL): the assessment of IL, the association between IL knowledge and skills, and the dimensionality of the IL construct. Three quantitative measures were developed and tested with several samples of university students to assess knowledge and skills for core facets of IL. These measures are freely available, applicable across disciplines, and easy to administer. Results indicate they are likely to be reliable and support valid interpretations. By measuring both knowledge and practice, the tools indicated low to moderate correlations between what students know about IL, and what they actually do when evaluating and using sources in authentic, graded assignments. The study is unique in using actual coursework to compare knowing and doing regarding students’ evaluation and use of sources. It provides one of the most thorough documentations of the development and testing of IL assessment measures to date. Results also urge us to ask whether the source-focused components of IL – information seeking, source evaluation and source use – can be considered unidimensional constructs or sets of disparate and more loosely related components, and findings support their heterogeneity.
description: IBM SPSS Statistics, 26 (2019)
DOI: 10.18710/pigssk/1f3epp
title: 20201128_BJN_REDTEC_glo.txt
DOI: 10.18710/q0f8pa/eh2dpl
title: PLAG8.stl
DOI: 10.18710/q0f8pa/jghzk9
title: OPX-220.stl
DOI: 10.18710/q0f8pa/lbeex9
title: PLAG85.stl
DOI: 10.18710/q0f8pa/w6vjik
title: A-5.pdf

description: Histograms showing the particle distribution of Mr/Ms, Aspect ratio and Equivalent sphere volume diameter.
DOI: 10.18710/q4dirk/ocnrec
title: a_ 51.40_ 0.32-Fyze_all.eps
DOI: 10.18710/typjxu/0kwxhe
title: fimb5045CS30.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/6js3cx
title: fimb70856.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/csbd5r
title: fimb704524.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/eo2cn0
title: plantarius5085.tif

description: projections from BLU model (see SDM.R)
DOI: 10.18710/typjxu/hjs8ai
title: fimb50851.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/jt5dxs
title: plan50854.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/n0g5ku
title: plan508530.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/ttmr7m
title: plantarius5045.tif

description: projections from Bioc model (see SDM.R)
DOI: 10.18710/typjxu/zww0cq
title: fimb7045CS28.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/vcwbyv/2dnxey
title: 01_ReadMeFile.txt
DOI: 10.18710/xctgxt
title: TGO Ramfjordmoen Ionosonde Data September 2019

description: &lt;p&gt;About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from September 01-30, 2019.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/5e8vui/e3z6jo
title: ISX_RAW_T1_50ugmL_18h_30-59.png
DOI: 10.18710/5e8vui/lgdiio
title: FACS_RAW_T1_50ugmL.txt
DOI: 10.18710/5e8vui/zqymun
title: ISX_RAW_T1_50ugmL_12h_0-29.png
DOI: 10.18710/eazdnv/5z23y0
title: S6.jpg

description: Supplement 6 from Koehl et al. (2020).
DOI: 10.18710/eurd2e/ga3fp7
title: 20201108_KHO_REDOBS_glo.txt
DOI: 10.18710/q0f8pa/1mzrbt
title: OPX-254.stl
DOI: 10.18710/q0f8pa/3xkixf
title: PLAG-116.stl
DOI: 10.18710/q0f8pa/77deqx
title: PLAG141.stl
DOI: 10.18710/q0f8pa/asztjz
title: PLAG6.stl
DOI: 10.18710/q0f8pa/dhwgcw
title: PLAG-65.stl
DOI: 10.18710/q0f8pa/dtepz5
title: OPX-201.stl
DOI: 10.18710/q0f8pa/eg6i1v
title: OPX113.stl
DOI: 10.18710/q0f8pa/h5aymr
title: PLAG-47.stl
DOI: 10.18710/q0f8pa/hsttqn
title: PLAG-150.stl
DOI: 10.18710/q0f8pa/ipny15
title: PLAG-11.stl
DOI: 10.18710/q0f8pa/kvcwvj
title: OPX-277.stl
DOI: 10.18710/q0f8pa/kxjdwj
title: PLAG135.stl
DOI: 10.18710/q0f8pa/labysg
title: PLAG62.stl
DOI: 10.18710/q0f8pa/losdd8
title: PLAG-22.stl
DOI: 10.18710/q0f8pa/lspvjr
title: OPX-171.stl
DOI: 10.18710/q0f8pa/ndepvm
title: PLAG-94.stl
DOI: 10.18710/q0f8pa/rptryh
title: PLAG-2.stl
DOI: 10.18710/q0f8pa/typizg
title: OPX-231.stl
DOI: 10.18710/q0f8pa/ua28w0
title: OPX-169.stl
DOI: 10.18710/q0f8pa/uctvwg
title: PLAG-3.stl
DOI: 10.18710/q0f8pa/ufma86
title: PLAG103.stl
DOI: 10.18710/q0f8pa/v9x4rs
title: OPX-173.stl
DOI: 10.18710/q0f8pa/vcjija
title: OPX-249.stl
DOI: 10.18710/q0f8pa/vxmx8r
title: PLAG-64.stl
DOI: 10.18710/q0f8pa/xddenk
title: PLAG-17.stl
DOI: 10.18710/q0f8pa/ylton9
title: OPX-242.stl
DOI: 10.18710/q0f8pa/ypoy9d
title: PLAG46.stl
DOI: 10.18710/typjxu/5kyenn
title: plan708514.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/8ouhmj
title: plan504515.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/hzbbhq
title: fimb5085CS26.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/isl8p6
title: fimb7045CS7.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/typjxu/lmsvip
title: fimb508523.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/mlrsz8
title: fimb504521.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/typjxu/xahulg
title: plan7045CS4.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)
DOI: 10.18710/5e8vui/qwv9tm
title: SizeST_Day15_RT_C3_1.pdf
DOI: 10.18710/5e8vui/ytw0fv
title: SizeST_Day60_fr_T2_1.pdf
DOI: 10.18710/eurd2e/3qm2z5
title: 20200101_KHO_REDOBS_gps.txt
DOI: 10.18710/eurd2e/ttcddb
title: 20200221_KHO_REDOBS_gal.txt
DOI: 10.18710/pigssk/jx6oh7
title: 20200729_BJN_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/3noaio
title: PLAG-29.stl
DOI: 10.18710/q0f8pa/7cr2s4
title: PLAG121.stl
DOI: 10.18710/q0f8pa/9mv3ld
title: PLAG-106.stl
DOI: 10.18710/q0f8pa/9paxim
title: PLAG-105.stl
DOI: 10.18710/q0f8pa/cq6lok
title: PLAG-89.stl
DOI: 10.18710/q0f8pa/efz2e1
title: PLAG-127.stl
DOI: 10.18710/q0f8pa/epf6pa
title: PLAG98.stl
DOI: 10.18710/q0f8pa/exyu2b
title: PLAG139.stl
DOI: 10.18710/q0f8pa/mqn7i8
title: PLAG-117.stl
DOI: 10.18710/q0f8pa/z3mmaf
title: PLAG154.stl
DOI: 10.18710/q0f8pa/zex4pr
title: PLAG-99.stl
DOI: 10.18710/typjxu/wnidcg
title: fimb504525.tif

description: projections from Disp model (see SDM.R and Dispersal.R)
DOI: 10.18710/5e8vui/uvedjj
title: ISX_RAW_T1_50ugmL_24h_0-29.png
DOI: 10.18710/ed8hsd
title: Replication Data for: "ramr: an R package for detection of rare aberrantly methylated regions"

description: &lt;p&gt;This data set contains all the necessary data sets (biologically-relevant
simulated data sets, preprocessed public data sets) used to evaluate
performance and obtain results using &lt;i&gt;ramr&lt;/i&gt; (&lt;a href="https://github.com/BBCG/ramr"&gt;https://github.com/BBCG/ramr&lt;/a&gt;, &lt;a href="http://www.bioconductor.org/packages/ramr/"&gt;http://www.bioconductor.org/packages/ramr/&lt;/a&gt;) -
a new method for identification of aberrantly methylated regions (AMRs). All
the necessary R scripts that were used for preparation, testing and analysis
of data sets are also provided. For additional information please check &lt;i&gt;ramr&lt;/i&gt;
package README.md file, vignettes or reference citation.&lt;/p&gt;

&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Please use TREE VIEW to browse files efficiently&lt;/b&gt;&lt;/p&gt;
description: &lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Abstract&lt;/b&gt;&lt;/p&gt;
&lt;p&gt;With recent advances in the field of epigenetics, the focus is widening from large and frequent disease- or phenotype-related methylation signatures to rare alterations transmitted mitotically or transgenerationally (constitutional epimutations). Merging evidence indicate that such constitutional alterations, albeit occurring at a low mosaic level, may confer risk of disease later in life. Given their inherently low incidence rate and mosaic nature, there is a need for bioinformatic tools specifically designed to analyse such events.&lt;/p&gt;
&lt;p&gt;We have developed a method (&lt;i&gt;ramr&lt;/i&gt;) to identify aberrantly methylated DNA regions (AMRs). &lt;i&gt;ramr&lt;/i&gt; can be applied to methylation data obtained by array or next-generation sequencing techniques to discover AMRs being associated with elevated risk of cancer as well as other diseases. We assessed accuracy and performance metrics of &lt;i&gt;ramr&lt;/i&gt; and confirmed its applicability for analysis of large public data sets. Using &lt;i&gt;ramr&lt;/i&gt; we identified aberrantly methylated regions that are known or may potentially be associated with development of colorectal cancer and provided functional annotation of AMRs that arise at early developmental stages.&lt;/p&gt;
description: R, 3.6.3
description: comb-p, 0.50.3
description: ramr, 1.1.2
DOI: 10.18710/l60vdi/bwszvi
title: DataFile_KnowingAndDoing.txt

description: This data file contains the replication data for the article "Knowing and doing: The development of information literacy measures to assess knowledge and practice." 

The file includes data collected from three measures:

1) a 21-item IL test for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seeking information. 

2) a source-evaluation measure to assess students' abilities to critically evaluate information sources in practice. 

3) a source-use measure to assess students' abilities to use sources correctly when writing. 

Respondents were 626 Norwegian and international students at three levels of higher education: bachelor, master's and PhD.
DOI: 10.18710/ohpupu/8k8ksd
title: Ch4.R

description: The first thing the R script does is to give you a summary of the dataset. Scroll up to the top of the results and you will find a table that looks like this: CONSTRUCTION VERB REDUCED PARTICIPLE goal : 871 _zero:393 no :1353 no : 895 theme:1049 na :368 yes: 567 yes:1025 po :703 za :456 This table tells you how many items of each type are in each column of the dataset. Next comes the logistic regression analysis, which you find under the heading "Logistic Regression Model" in the R output. We used a procedure (following Baayen 2008 and Gries 2009) for discovering the minimal adequate model for our data. This means that we started with a hypothetical model in which all independent variables serve as both main effects and have interactions with each other, and then we progressively stripped away those that were not significant until we arrived at a model that represented only significant relationships. We will not walk you through this whole procedure, but just show you the optimal model. This model has all of the independent variables as main effects, plus an interaction between the VERB and PARTICIPLE variables. The formula for this model is represented this way in your R output (and in the R script): lrm(formula = CONSTRUCTION ~ VERB + REDUCED + PARTICIPLE + VERB:PARTICIPLE, data = loaddata, x = T, y = T, linear.predictors = T) This can be stated in prose thus: "CONSTRUCTION varies according to VERB, REDUCED, and PARTICIPLE as main effects, and an interaction between VERB and PARTICIPLE." Next comes a little table telling you the overall number of items for each value for the dependent variable CONSTRUCTION: goal has 871, and theme has 1049. Next come some figures that indicate how well the model performs.
DOI: 10.18710/q0f8pa/6aeijl
title: PLAG82.stl
DOI: 10.18710/q0f8pa/9g6fhn
title: OPX220.stl
DOI: 10.18710/q0f8pa/9puc4k
title: PLAG127.stl
DOI: 10.18710/q0f8pa/bywmz8
title: OPX3.stl
DOI: 10.18710/q0f8pa/c8fnbh
title: OPX96.stl
DOI: 10.18710/q0f8pa/kmylu1
title: OPX273.stl
DOI: 10.18710/q0f8pa/ltsncp
title: PLAG119.stl
DOI: 10.18710/q0f8pa/nzmdb1
title: OPX191.stl
DOI: 10.18710/q0f8pa/oy7yzy
title: PLAG136.stl
DOI: 10.18710/q0f8pa/tizruu
title: OPX15.stl
DOI: 10.18710/q0f8pa/w2m3fl
title: PLAG80.stl
DOI: 10.18710/q0f8pa/xvyh87
title: OPX210.stl
DOI: 10.18710/q0f8pa/zwkklu
title: PLAG11.stl
DOI: 10.18710/typjxu/7fwhki
title: plan5045CS27.tif

description: projections from DispCS model (see SDM.R, Connectivity.R and Dispersal.R)