cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e181641v1-157559
title: Data and Code for: Work from Home Before and After the COVID-19 Outbreak

description: Based on novel survey data, we document a persistent rise in work from home (WFH) over the course of the COVID-19 pandemic. Using theory and direct survey evidence, we argue that three quarters of this increase reflects adoption of new work arrangements that will likely be permanent for many workers. A quantitative model matched to survey data predicts that twice as many workers will WFH full-time post-pandemic compared to pre-pandemic, and that one in every five instead of seven workdays will be WFH. These model predictions are consistent with survey evidence on workers' own expectations about WFH in the future.
description: Sample weights were constructed using an iterative proportional fitting (raking) algorithm based on Deming and Stephan (1940) to match the distribution of initial targets, finer categories for some variables and interactions with sex. We provide two different sets of weights, which conditional on additional variables, for details and references see the readme file.
description: The RPS derives its sample from an online panel provided by Qualtrics.<br><br>The sample was targeted to be nationally representative for the U.S. for the age group 18-64 along several broad demographic characteristics: gender, age, race and ethnicity, education, marital status, number of children in the household, Census region, and household income in 2019. <br>The targets were based on the following categories: Age: 18-24, 25-34, 35-44, 45-54, 55-64; Race and ethnicity: non-Hispanic White, non-Hispanic Black, Hispanic, other; Education: high school or less, some college or associate degree, bachelor’s degree or more; Marital status: married or not; Number of children in the household: 0, 1, 2, 3 or more; Census region: Midwest, Northeast, South and West; Annual household income in 2019: &lt;$50k, $50k-100k, &gt;$100k.
description: population of US adults aged 18 to 64. Smallest Geographic Unit: US States
description: web-based survey; For more details on the data collection, see Bick and Blandin (2022) (DOI: https://doi.org/10.1016/j.red.2022.11.002) and https://www.openicpsr.org/openicpsr/project/158081/version/V4/view.<br><br><br>
DOI: 10.15468/dl.gb3g5c
title: Occurrence Download

description: A dataset containing 1318 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Melanchra pisi (Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1318 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021928-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/tgrolw/7a0qtq
title: 20230806_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/b3wonu
title: 20230811_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/b9cf6g
title: 20230802_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/byfimr
title: 20230818_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/diizd5
title: 20230801_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/g8jj1y
title: 20230831_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/jf5bsm
title: 20230910_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/qa5vog
title: 20230805_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/qcupa3
title: 20230812_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/y99qgs
title: 20231110_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/zbrkkg
title: 20230831_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/zxqvfj
title: 20230919_NYA_REDTEC_gal.txt
DOI: 10.18710/tynihf/e0h8ha
title: 20231216_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/eezxhx
title: 20231018_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/k4agxe
title: 20231230_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/vgnwwf
title: 20231019_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/zlpxak
title: 20231014_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/qo0mtl
title: 20230328_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/rvloqy
title: 20230117_KHO_REDTEC_gps.txt
DOI: 10.18710/ivua0a/coqkwy
title: 07_coll-profile_jung_POS.txt
DOI: 10.18710/ivua0a/g9goun
title: 06_coll-profile_unterbringen_POS.png
DOI: 10.18710/ivua0a/jwgvxy
title: 05_coll_PBxmit_patterns.csv
DOI: 10.18710/ivua0a/mr3dzd
title: 06_coll-profile_verlaufen_Lemma.txt
DOI: 10.18710/ivua0a/qjmnav
title: 07_coll-profile_herrlich_POS.png
DOI: 10.18710/ivua0a/wi5nvi
title: 07_coll-profile_malerisch_Lemma.png
DOI: 10.18710/n1fi7e/kot7ws
title: 20241223_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/pxmcmg
title: 20241002_NYA_REDOBS_gal.txt
DOI: 10.18710/ozpaww/1lmglj
title: 20240428_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/cqjyao
title: 20240518_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/csdx0i
title: 20240505_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/htunrs
title: 20240429_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/ilgp7m
title: 20240417_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/jgvl9y
title: 20240416_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/jluqiv
title: 20240111_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/kxu4ek
title: 20240618_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/liuqfz
title: 20240531_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/ma24ta
title: 20240629_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/mgyiht
title: 20240516_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/qszp87
title: 20240512_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/rak1ev
title: 20240209_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/tqyhy1
title: 20240308_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/xyiftb
title: 20240121_BJN_REDTEC_glo.txt
DOI: 10.18710/umdoq0/4q3jf9
title: 20230709_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/85vqqt
title: 20230729_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/9n5dzz
title: 20230902_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/z9sqww
title: 20230710_KHO_REDTEC_gal.txt
DOI: 10.18710/ivua0a/3gut8j
title: 06_coll-profile_sehen_POS.txt
DOI: 10.18710/ivua0a/crfc6a
title: 06_coll-profile_bieten_POS.txt
DOI: 10.18710/ivua0a/es98lk
title: 06_coll-profile_geben_Lemma.txt
DOI: 10.18710/ivua0a/m7juk4
title: 07_coll-profile_klein_Lemma.txt
DOI: 10.18710/ozpaww/hfcxug
title: 20240421_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/l2ydqu
title: 20240419_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/mri6dn
title: 20240523_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/pm2b9q
title: 20240413_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/ttofdg
title: 20240326_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/xvtisr
title: 20240323_BJN_REDTEC_gal.txt
DOI: 10.18710/umdoq0/enqgpl
title: 20230715_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/qb248e
title: 20230831_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/uz4udh
title: 20230926_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/vsjggj
title: 20230907_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/yrp5h1
title: 20230821_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ztoymt
title: 20230720_KHO_REDTEC_glo.txt
DOI: 10.18710/ivua0a/8px1vo
title: 07_coll-profile_letzt_POS.txt
DOI: 10.18710/ivua0a/bqnnqe
title: 06_coll-profile_erreichen_Lemma.txt
DOI: 10.18710/ivua0a/f72qmu
title: 04_coll_PB3xNouns_Lemma.png
DOI: 10.18710/ivua0a/pi9yfe
title: 07_coll-profile_weitADJA_POS.png
DOI: 10.18710/ivua0a/tty7fw
title: 06_coll-profile_erhalten_POS.png
DOI: 10.18710/ivua0a/vvy5qj
title: 07_coll-profile_berühmt_POS.png
DOI: 10.18710/ivua0a/wye1og
title: 07_coll-profile_gutADJD_Lemma.txt
DOI: 10.18710/ozpaww/5pmz1q
title: 20240613_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/9wjkcb
title: 20240526_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/bejvqt
title: 20240610_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/bgvrgu
title: 20240707_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/bihzkw
title: 20240519_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/cvotm9
title: 20240617_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/cxizpx
title: 20240428_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/eevame
title: 20240411_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/jv7kbe
title: 20240729_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/kwyltw
title: 20240514_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/lnimko
title: 20240630_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/nfebnz
title: 20240620_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/ole4pt
title: 20240927_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/qmxii9
title: 20240520_BJN_REDTEC_gps.txt
DOI: 10.18710/gziuzl/1lii0k
title: ECOSENS_GF21_9_ocean_irradiance.txt
DOI: 10.18710/gziuzl/aav0la
title: ECOSENS_HF23_C3_pf.txt
DOI: 10.18710/gziuzl/q3th6z
title: ECOSENS_HF23_B2_ocean_radiance.txt
DOI: 10.18710/gziuzl/uhdiwr
title: ECOSENS_HF23_D3_ap_bp.txt
DOI: 10.18710/ivua0a/ubu2ic
title: 06_coll-profile_erreichen_Lemma.png
DOI: 10.18710/ozpaww/bzhkme
title: 20240617_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/jz76fl
title: 20240412_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/oj2yac
title: 20240417_BJN_REDTEC_gal.txt
DOI: 10.18710/tgrolw/mdivu3
title: 20230806_NYA_REDTEC_glo.txt
DOI: 10.18710/umdoq0/lkdmqf
title: 20230713_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/mdqhdm
title: 20230709_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/qitlvj
title: 20230730_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ytkaca
title: 20230808_KHO_REDTEC_glo.txt
DOI: 10.18710/gziuzl/3f2qu9
title: ECOSENS_GF21_R_meta.txt
DOI: 10.18710/gziuzl/6zjsn1
title: ECOSENS_HF22_D1_ocean_irradiance.txt
DOI: 10.18710/gziuzl/d3hush
title: ECOSENS_HF22_D1_ap_bp.txt
DOI: 10.18710/gziuzl/k5k9wg
title: ECOSENS_HF22_E2_pf.txt
DOI: 10.18710/gziuzl/tcngrk
title: ECOSENS_HF22_A3_meta.txt
DOI: 10.18710/tgrolw/5xdvrh
title: 20230711_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/byyt8a
title: 20230730_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/hsexpg
title: 20230803_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/msxjtb
title: 20231229_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/ngnx1e
title: 20230908_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/pkbv4p
title: 20230811_NYA_REDTEC_gps.txt
DOI: 10.18710/umdoq0/gfurhd
title: 20230822_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/hn2q26
title: 20231025_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ixlaxp
title: 20231222_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/mxeirx
title: 20231026_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/rdtsqi
title: 20231105_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/wr8rq7
title: 20231216_KHO_REDTEC_glo.txt
DOI: 10.18710/gziuzl/a0gma8
title: ECOSENS_LF22_1_ap_bp.txt
DOI: 10.18710/gziuzl/gygmzq
title: ECOSENS_HF22_E3_a.txt
DOI: 10.18710/gziuzl/o5ytup
title: ECOSENS_HF22_E3_ocean_radiance.txt
DOI: 10.18710/gziuzl/t0tvek
title: ECOSENS_HF23_D3_ocean_radiance.txt
DOI: 10.18710/gziuzl/uujpcj
title: ECOSENS_HF23_D1_ocean_irradiance.txt
DOI: 10.18710/gziuzl/xqrkc0
title: ECOSENS_HF22_C1_ap_bp.txt
DOI: 10.18710/gziuzl/zdevgv
title: ECOSENS_LF22_3_ocean_irradiance.txt
DOI: 10.18710/gziuzl/ztfejh
title: ECOSENS_HF22_F3_meta.txt
DOI: 10.18710/ivua0a/ckxy1g
title: 06_coll-profile_dienen_POS.txt
DOI: 10.18710/nxplfl/qru128
title: patient_061_node_4.tar

description: Patches for the WSI patient_061_node_4
DOI: 10.18710/tgrolw/2fmkyc
title: 20230804_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/dtwzpr
title: 20230814_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/eofymg
title: 20230827_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/ldblll
title: 20231025_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/na5hbm
title: 20230925_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/noaorr
title: 20231211_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/poolwt
title: 20230929_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/suppwj
title: 20230726_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/ugps8l
title: 20231222_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/yyzbfo
title: 20230729_NYA_REDTEC_glo.txt
DOI: 10.18710/umdoq0/a21ika
title: 20231210_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/pifko0
title: 20230821_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/vv7uan
title: 20231004_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/yby8hg
title: 20230718_KHO_REDTEC_glo.txt
DOI: 10.18710/gziuzl/iuwgvv
title: ECOSENS_LF22_1_meta.txt
DOI: 10.18710/gziuzl/oxltex
title: ECOSENS_HF22_E3_meta.txt
DOI: 10.18710/nxplfl/7akdmy
title: patient_060_node_3.tar

description: Patches for the WSI patient_060_node_3
DOI: 10.18710/csq4zf/8g4ip4
title: negation.csv

description: Semicolon-delimited data table containing the data
DOI: 10.18710/gziuzl/fpc17f
title: ECOSENS_HF22_B3_meta.txt
DOI: 10.18710/gziuzl/joub54
title: ECOSENS_HF22_E2_ap_bp.txt
DOI: 10.18710/gziuzl/oejjjm
title: ECOSENS_HF22_C2_meta.txt
DOI: 10.18710/gziuzl/ymxpf3
title: ECOSENS_HF23_D3_ocean_irradiance.txt
DOI: 10.18710/ivua0a/0izjs8
title: 06_coll-profile_gelten_POS.txt
DOI: 10.18710/ivua0a/1nnfgi
title: 07_coll-profile_römisch_Lemma.txt
DOI: 10.18710/ivua0a/derjiq
title: 06_coll-profile_fahren_Lemma.txt
DOI: 10.18710/ivua0a/fm6bwc
title: 06_coll-profile_liegen_Lemma.txt
DOI: 10.18710/ivua0a/lhxtgr
title: 06_coll-profile_errichten_Lemma.png
DOI: 10.18710/ivua0a/zvkjpi
title: 07_coll-profile_bayerisch_POS.txt
DOI: 10.18710/nxplfl/v8xmb1
title: patient_012_node_0.tar

description: Nuclear segmentation masks for patches from WSI patient_012_node_0
DOI: 10.18710/nxplfl/vr3bzz
title: patient_046_node_4.tar

description: Patches for the WSI patient_046_node_4
DOI: 10.18710/qk4h0z/yydiqa
title: 00_README.txt

description: readme file with information about column contents in both data files.
DOI: 10.18710/umdoq0/7b30kx
title: 20231212_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/7s5vqg
title: 20231012_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ecnomx
title: 20231206_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ocdekc
title: 20231009_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/pge2zc
title: 20231012_KHO_REDTEC_gps.txt
DOI: 10.18710/yunhfp/mpon0u
title: Brathen_et_al_Biotic_Homogenization_Dataverse_script_nmds.R
DOI: 10.18710/gziuzl/kvgjh2
title: ECOSENS_HF23_B3_pf.txt
DOI: 10.18710/gziuzl/mtnkpy
title: ECOSENS_HF22_A2_ocean_irradiance.txt
DOI: 10.18710/nxplfl/rymbdi
title: patient_066_node_2.tar

description: Nuclear segmentation masks for patches from WSI patient_066_node_2
DOI: 10.18710/ozpaww/9lcbzv
title: 20240401_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/ijmvlh
title: 20240628_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/oxhn0d
title: 20240914_BJN_REDTEC_gps.txt
DOI: 10.18710/tgrolw/tdwamv
title: 20230721_NYA_REDTEC_gps.txt
DOI: 10.18710/umdoq0/5xtroe
title: 20231009_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ewfzan
title: 20231005_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/tegf3b
title: 20231127_KHO_REDTEC_gal.txt
DOI: 10.18710/ivua0a/1ncayw
title: 07_coll-profile_repräsentativ_Lemma.txt
DOI: 10.18710/ivua0a/8vtnct
title: 06_coll-profile_gehören_Lemma.txt
DOI: 10.18710/ivua0a/9boi7r
title: 07_coll-profile_besonder_Lemma.txt
DOI: 10.18710/nxplfl/8iuvet
title: patient_039_node_1.tar

description: Patches for the WSI patient_039_node_1
DOI: 10.18710/nxplfl/bmnqca
title: patient_020_node_2.tar

description: Nuclear segmentation masks for patches from WSI patient_020_node_2
DOI: 10.18710/nxplfl/gtbroa
title: patient_089_node_3.tar

description: Patches for the WSI patient_089_node_3
DOI: 10.18710/nxplfl/ioivrz
title: patient_017_node_1.tar

description: Patches for the WSI patient_017_node_1
DOI: 10.18710/nxplfl/lvz69c
title: patient_022_node_4.tar

description: Nuclear segmentation masks for patches from WSI patient_022_node_4
DOI: 10.18710/nxplfl/musrun
title: patient_096_node_0.tar

description: Nuclear segmentation masks for patches from WSI patient_096_node_0
DOI: 10.18710/nxplfl/tkeijy
title: patient_061_node_4.tar

description: Nuclear segmentation masks for patches from WSI patient_061_node_4
DOI: 10.18710/nxplfl/tm8ych
title: patient_040_node_2.tar

description: Nuclear segmentation masks for patches from WSI patient_040_node_2
DOI: 10.18710/nxplfl/tu3htl
title: patient_092_node_1.tar

description: Patches for the WSI patient_092_node_1
DOI: 10.18710/nxplfl/wpbjcq
title: patient_016_node_1.tar

description: Patches for the WSI patient_016_node_1
DOI: 10.18710/ozpaww/ggfmug
title: 20240404_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/gw9nvt
title: 20240510_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/ilnas7
title: 20240415_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/ipqzgj
title: 20240407_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/lgyf27
title: 20240801_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/p2oyav
title: 20240410_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/qmepkz
title: 20240512_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/wbj8lv
title: 20240518_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/xgjvis
title: 20240413_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/xhmy7k
title: 20240622_BJN_REDTEC_gal.txt
DOI: 10.18710/umdoq0/0wqkq1
title: 20231114_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/dkighp
title: 20230123_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/kngdgg
title: 20231212_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/mrkjqv
title: 20231228_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/uso7wt
title: 20231016_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/vz056x
title: 20230125_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/wkr1er
title: 20230126_KHO_REDTEC_glo.txt
DOI: 10.18710/3lt3qu/bqujje
title: 00_README.txt

description: Readme file. Start here...
DOI: 10.18710/ib7llw/4cxz50
title: Table_S01b.txt
DOI: 10.18710/ivua0a/4pthua
title: 06_coll-profile_geben_POS.txt
DOI: 10.18710/ivua0a/5oryei
title: 07_coll-profile_gotisch_Lemma.txt
DOI: 10.18710/ivua0a/8dyltc
title: 07_coll-profile_repräsentativ_POS.txt
DOI: 10.18710/ivua0a/ajmgav
title: 07_coll-profile_besonder_Lemma.png
DOI: 10.18710/ivua0a/etvm6v
title: 06_coll-profile_heißen_POS.png
DOI: 10.18710/ivua0a/hb4gtr
title: 07_coll-profile_hochADJD_POS.png
DOI: 10.18710/nxplfl/jza2on
title: patient_073_node_1.tar

description: Nuclear segmentation masks for patches from WSI patient_073_node_1
DOI: 10.18710/nxplfl/nr7cbv
title: patient_086_node_0.tar

description: Nuclear segmentation masks for patches from WSI patient_086_node_0
DOI: 10.18710/nxplfl/sxqxyn
title: patient_017_node_4.tar

description: Patches for the WSI patient_017_node_4
DOI: 10.18710/ozpaww/2hhdby
title: 20240622_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/5iqnix
title: 20240503_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/lwjrqk
title: 20240526_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/rkxn57
title: 20240828_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/zinvkk
title: 20240605_BJN_REDTEC_gal.txt
DOI: 10.18710/umdoq0/76enj1
title: 20231114_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/jt00a0
title: 20231128_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/kvaqvm
title: 20231230_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/lhuh4b
title: 20231104_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/p2alsg
title: 20231130_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/vrygp1
title: 20231220_KHO_REDTEC_gal.txt
DOI: 10.18710/7pe8q9/2ukjtv
title: CAGE_18-1_0130-0139_HH.zip
DOI: 10.18710/7pe8q9/7yqrl5
title: CAGE_22-6_0320-0324_HH.zip
DOI: 10.18710/7pe8q9/gczwb9
title: CAGE_18-1_0155-0159_HH.zip
DOI: 10.18710/7pe8q9/m7ok5u
title: CAGE_21-4_0245-0249_HH.zip
DOI: 10.18710/7pe8q9/mffkbe
title: CAGE_21-4_0070-0079_HH.zip
DOI: 10.18710/7pe8q9/mrdmph
title: CAGE_21-4_0265-0269_HH.zip
DOI: 10.18710/bstyxu
title: Replication data for: Scaling and dynamics of vortex lock-in for circular cylinders in an oscillating flow

description: This dataset contains the data required to reproduce the results in the journal article: "Scaling and dynamics of vortex lock-in for circular cylinders in an oscillating flow". It contains experimental results obtained in the wake of circular cylinders with various diameters placed in an acoustically oscillated flow. The results were acquired using hot-wire anemometry (HWA) and planar particle image velocimetry (PIV). The results presented discuss the physics involved in the problem through a novel scaling to estimate the onset of the lock-in phenomenon. Proper orthogonal decomposition (POD) was employed to obtain better insights into the process of vortex formation and their subsequent dynamics.
DOI: 10.18710/ib7llw/2oz1fn
title: Table_S02.txt
DOI: 10.18710/ib7llw/gvb6u2
title: Table_S13c.txt
DOI: 10.18710/pbbsgh
title: Background data for: Regional syntactic variability in the complementation system of global varieties of English

description: This dataset contains tabular files recording occurrences of the verb REGRET complemented by a that- or -ing-complement clause (CC) in the GloWbE corpus. Tokens were retrieved using the online interface (https://www.english-corpora.org/glowbe/) and manually annotated for several syntactic and semantic variables (variety,finiteness, meaning of the verb regret, voice of the CC, words in the CC, coreferentiality, intervening material, negation in the CC, temporal relation). See ReadMe file for more details. Related publication: Romasanta, Raquel P. 2023. Regional syntactic variability in the complementation system of global varieties of English. In Social and Regional Variation in World Englishes: Local and Global Perspectives, ed. by Paula Rautionaho, Hanna Parviainen, Mark Kaunisto & Arja Nurmi, 66-90. New York/London: Routledge. https://doi.org/10.4324/9781003227342-5
description: Excel
DOI: 10.18710/tgrolw/pcwskp
title: 20230116_NYA_REDTEC_gal.txt
DOI: 10.18710/u4tlyv
title: System identification campaign - Skywalker X8 UAV
title: System identification campaign - small fixed-wing unmanned aerial vehicle (UAV) Skywalker X8

description: The data was collected by the NTNU UAV lab as part of the system identification campaign for the Skywalker X8 UAV in May of 2023 at Agdenes Airfield, Norway. The dataset includes 17 maneuvers, where each maneuver is approximately 10 seconds long. The maneuvers are split into a training and a validation set. There was a strong north-west wind during the experiments with significant vertical component.
DOI: 10.18710/umdoq0/gsfvar
title: 20231123_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/jqutsx
title: 20231229_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/leuonr
title: 20231218_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/npbboz
title: 20231026_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/xrc7qa
title: 20231204_KHO_REDTEC_glo.txt
DOI: 10.18710/v1odik/g4ekjz
title: Core_location.txt

description: DD coordinates of the coring locations.
DOI: 10.15468/dl.h7ysmp
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is VectorBase (Bioinformatics Resource for Invertebrate Vectors of Human Pathogens)",
 "TaxonKey is Aedes vexans"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054611-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/ozpaww/9rlrc1
title: 20240805_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/j3mbjc
title: 20240930_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/j62ocf
title: 20240722_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/po4rzv
title: 20240708_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/pw036q
title: 20240713_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/xqkt5g
title: 20240729_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/zltppw
title: 20240902_BJN_REDTEC_gps.txt
DOI: 10.18710/tgrolw/4vdlg9
title: 20230710_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/8tqloh
title: 20230717_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/cleeut
title: 20230325_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/coovbt
title: 20231225_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/dcnze5
title: 20231210_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/fk100j
title: 20230109_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/ht43sp
title: 20231026_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/jcq9hr
title: 20231208_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/kjtt83
title: 20231110_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/krheo3
title: 20231112_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/limem1
title: 20231025_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/lomqem
title: 20231217_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/lwbbpd
title: 20231118_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/o2pvju
title: 20231008_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/pb6cfi
title: 20231218_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/qsrce7
title: 20231119_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/qusqje
title: 20231006_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/sfpz0x
title: 20231115_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/tfru0o
title: 20231228_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/w3q8i9
title: 20231002_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/yb6254
title: 20231229_NYA_REDTEC_gal.txt