cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/cormpr
title: Replication Data for: The professional profile, competence, and responsiveness of senior bureaucrats: A paired survey experiment with citizens and elite respondents

description: This dataset includes the treatment and outcome variables of a survey experiment conducted among citizens, elected representatives, and central government administrators as part of the KODEM_DEMO pilot conducted in winter/spring 2020/2021 (https://www.uib.no/en/digsscore/150821/kodemdemo). The code (STATA do-file) allows for a full replication of the core analyses.

A complete documentation of the original (including methodological reports) is available as follows:

Norwegian Citizen Panel, round 19, file version "Norsk medborgerpanel - runde 19k1 - v-102-L.dta", www.uib.no/en/digsscore/154675/wave-19-norwegian-citizen-panel

Norwegian Panel of Representatives, round 4, file version "The Panel of Elected Representatives - round 4k1 - v-102.dta", www.uib.no/en/digsscore/169586/wave-4-norwegian-panel-elected-representatives

Norwegian Panel of Public Administrators, round 1, file version "Norsk forvaltningspanel - runde 1k1 - v-101-L.dta", www.uib.no/en/digsscore/169594/wave-1-norwegian-panel-public-administrators
DOI: 10.18710/gziuzl/ekretb
title: ECOSENS_HF23_C3_meta.txt
DOI: 10.18710/gziuzl/kezvyi
title: ECOSENS_HF22_B1_meta.txt
DOI: 10.18710/gziuzl/p4pkkv
title: ECOSENS_HF22_D3_pf.txt
DOI: 10.18710/leklrn/ddijd6
title: E13_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E13. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/qs8xhj/fu4pse
title: 0_Publication_list_02.txt

description: The file contains the list of the data provided on the second page of the 0_Publication_list.xlsx file.
DOI: 10.18710/taul5v/kv8py8
title: 01_Stach_2024_references_README.txt
DOI: 10.18710/tynihf/7pogwm
title: 20231002_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/8xywuz
title: 20231220_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/a8pboo
title: 20231018_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/cvb5jj
title: 20231111_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/fy6rwv
title: 20231119_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/h5rxr2
title: 20231114_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/jglv5t
title: 20231213_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/lvtrkt
title: 20231016_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/n2dfft
title: 20231123_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/pjjqtx
title: 20231214_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/tha3ds
title: 20231106_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/unrk6w
title: 20231213_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/6r5ljk
title: 20230723_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/j3xflk
title: 20230711_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/udfiq0
title: 20230704_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/upbsqy
title: 20230726_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/zerk7z
title: 20230903_KHO_REDTEC_gal.txt
DOI: 10.18710/vp5dmu/cf7p2t
title: participant05.csv

description: Actigraph acceleration data
DOI: 10.18710/n1fi7e/7mp341
title: 20241129_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/ez0iw8
title: 20241114_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/mk0p64
title: 20241120_NYA_REDOBS_glo.txt
DOI: 10.18710/ozpaww/sx0psd
title: 20240313_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/wy45gy
title: 20240309_BJN_REDTEC_gps.txt
DOI: 10.18710/tynihf/9nhysd
title: 20231104_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/aowvga
title: 20231126_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/hdgdhs
title: 20231003_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/pxbzrp
title: 20231121_HOP_REDTEC_glo.txt
DOI: 10.18710/umdoq0/cncma8
title: 20230824_KHO_REDTEC_gal.txt
DOI: 10.18710/5eosvj/4ddmi0
title: BeadpackDynamicsCTscans11-20.zip

description: :unav
DOI: 10.18710/gziuzl/bxa03v
title: ECOSENS_HF22_E2_meta.txt
DOI: 10.18710/gziuzl/cdrwg6
title: ECOSENS_HF22_E1_meta.txt
DOI: 10.18710/n1fi7e/decsjm
title: 20241202_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/hfqpit
title: 20241222_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/nawtxp
title: 20241009_NYA_REDOBS_gps.txt
DOI: 10.18710/n1fi7e/pgcamm
title: 20241206_NYA_REDOBS_glo.txt
DOI: 10.18710/tynihf/7tnlae
title: 20231115_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/areodl
title: 20231211_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/eooltl
title: 20231007_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/oxynci
title: 20231009_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/ueupna
title: 20231227_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/vgpcfi
title: 20231215_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/ycjov0
title: 20231113_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/yzu050
title: 20231024_HOP_REDTEC_glo.txt
DOI: 10.18710/umdoq0/huup6d
title: 20230806_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/onnpgg
title: 20230710_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/rn6p1p
title: 20230910_KHO_REDTEC_gal.txt
DOI: 10.18710/wd05dg/3gmbiq
title: 11_inlaResults_EV14_model_2.RData

description: Results from fitting the spatial model 2
DOI: 10.18710/5eosvj/3iz9ro
title: BeadpackDynamicsCTscans21-30.zip

description: :unav
DOI: 10.18710/5eosvj/jtmef7
title: BeadpackDynamicsCTscans271-280.zip

description: :unav
DOI: 10.18710/5eosvj/oywsuk
title: BeadpackDynamicsCTscans51-60.zip
DOI: 10.18710/5eosvj/wxtmws
title: BeadpackDynamicsCTscans91-100.zip
DOI: 10.18710/azt6uy/fgbppi
title: OPX_Pat_B16.csv
DOI: 10.18710/bykhxy/40yueo
title: 07_Quadrat_Data_2021.csv
DOI: 10.18710/bykhxy/m8vvoy
title: 09_Transects_Merged_Every_5CM.csv
DOI: 10.18710/epb9ag/zbwuha
title: cage_2022_ocean_drifters.nc
DOI: 10.18710/gziuzl/6iceo2
title: ECOSENS_HF22_B2_ocean_radiance.txt
DOI: 10.18710/gziuzl/hfdr8n
title: ECOSENS_LF22_5_ocean_radiance.txt
DOI: 10.18710/gziuzl/mudx3l
title: ECOSENS_LF22_2_a.txt
DOI: 10.18710/gziuzl/nbmkwc
title: ECOSENS_HF23_A1_pf.txt
DOI: 10.18710/gziuzl/p7pp7j
title: ECOSENS_HF23_A3_ocean_radiance.txt
DOI: 10.18710/gziuzl/zryjds
title: ECOSENS_HF22_F1_ocean_irradiance.txt
DOI: 10.18710/ivua0a/3wifns
title: 07_coll-profile_modern_POS.png
DOI: 10.18710/ivua0a/drfrmg
title: 04_coll_PB1xNouns_Lemma.png
DOI: 10.18710/ivua0a/jwrjzv
title: 07_coll-profile_idyllisch_POS.png
DOI: 10.18710/ivua0a/jxzkz9
title: 07_coll-profile_römisch_Lemma.png
DOI: 10.18710/ivua0a/m1rifc
title: 07_coll-profile_modern_Lemma.png
DOI: 10.18710/ivua0a/qtbjhb
title: 07_coll-profile_barock_POS.png
DOI: 10.18710/ivua0a/rvl2cc
title: 07_coll-profile_zahlreich_Lemma.txt
DOI: 10.18710/ivua0a/ujedup
title: 07_coll-profile_zahlreich_Lemma.png
DOI: 10.18710/ivua0a/vquxsz
title: 07_coll-profile_errichtet_POS.png
DOI: 10.18710/leklrn/0guuqh
title: E09_SFA_experiment.zip

description: Data from surface forces apparatus (SFA) experiment E09. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder ‘chrono’ in each experiment before the surfaces are placed in contact; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/leklrn/8szuhv
title: E17_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E17. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/leklrn/ozag2i
title: E24_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E24. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage singal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/leklrn/wxtqcl
title: E10_SFA_experiment.zip

description: Data from surface forces apparatus (SFA) experiment E10. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder ‘chrono’ in each experiment before the surfaces are placed in contact; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/leklrn/xf1zhm
title: E15_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E15. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/tgrolw/40qqsr
title: 20230511_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/47is9l
title: 20230508_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/4g7rdh
title: 20230610_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/7zdja3
title: 20230528_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/akurzx
title: 20230423_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/hedht2
title: 20230417_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/jxh964
title: 20230417_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/kvl44q
title: 20230525_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/l8z7ha
title: 20230414_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/pplhjk
title: 20230416_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/qtaxbr
title: 20230408_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/rkenbt
title: 20230613_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/rtogcl
title: 20230414_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/rx83gc
title: 20230502_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/ryckdm
title: 20230427_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/sbjxyg
title: 20230518_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/sjbafq
title: 20230503_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/sm47ye
title: 20230509_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/t5vhmy
title: 20230615_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/tewtks
title: 20230415_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/toejez
title: 20230602_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/v06vhc
title: 20230630_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/vbbxna
title: 20230419_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/viaeap
title: 20230512_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/vnx13x
title: 20230612_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/vqxhjw
title: 20230406_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/wevqg4
title: 20230517_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/zx0run
title: 20230505_NYA_REDTEC_gps.txt
DOI: 10.18710/tynihf/2k5jgs
title: 20231027_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/ch85t7
title: 20231007_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/h69qht
title: 20231021_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/kdsxk4
title: 20231027_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/kmqbmd
title: 20231202_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/rsy63v
title: 20231201_HOP_REDTEC_gal.txt
DOI: 10.18710/umdoq0/0sah9n
title: 20230128_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/kaxw7x
title: 20230204_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ybmhqt
title: 20230315_KHO_REDTEC_gps.txt
DOI: 10.18710/uzoub0/ytelae
title: 00_README_Solberg_et_al_2024_Tanzania.txt
DOI: 10.18710/vp5dmu/7ni2dx
title: participant04.csv

description: Actigraph acceleration data
DOI: 10.18710/wd05dg/r7j5ct
title: 06_A_NON_spatial_statistical_model_4_Jourdain_New_update.R

description: Non spatial statistical rutting model with all explanatory variables (R codes)
DOI: 10.18710/wi9teh/jantdq
title: 00_ReadMe_malta_lexical.txt

description: Documentation file describing the dataset
DOI: 10.18710/xcisvi/dsth8h
title: 04_Sognefjord.SL.survival.csv

description: Simulated rates of direct and indirect survival due to salmon lice infestation of sea trout in Sognefjorden.
DOI: 10.18710/xcisvi/uagufh
title: 03_Sognefjord.simulated.SL.RData

description: Simulated accumulated salmon lice exposure and infection on individual sea trout in Sognefjorden.
DOI: 10.18710/38hoyx
title: Replication Data for: Acoustic occurrence of deep-diving cetaceans in the southern Adriatic Sea

description: Goose-beaked whale (Ziphius cavirostris) and sperm whale (Physeter macrocephalus) are two deep-diving odontocete species known to occur in the southern Adriatic Sea, based on intermittent stranding and sighting data. To get a better understanding of their presence in this region, we studied the occurrence of echolocation clicks produced by these species in passive acoustic recordings. Passive acoustic data were collected offshore Dubrovnik, Croatia. Data were collected from October 2018 to December 2019 and from June 2020 to December 2020 using a High-frequency Acoustic Recording Package (HARP) deployed at approximately 1,000 m depth. To determine the occurrence of echolocation clicks, a two-step process was used: automated detection followed by manual annotation of the detected clicks. Automated detection was implemented using a low signal-to-noise ratio threshold and a broad range of parameters to detect as many clicks as possible. Two click clustering algorithms were evaluated for performance on this data set: an unsupervised clustering algorithm and a filtering algorithm. The performance of the algorithms was compared to the manual annotations to determine a time-effective method for future monitoring. Both species were found to be acoustically active in the southern Adriatic Sea. Goose-beaked whales were detected throughout the recording period, with echolocation clicks peaking during the winter of 2018–2019 and in the spring of 2019. Conversely, sperm whales were more acoustically active during short, irregular windows, mostly during the summer of 2019. These results suggest that goose-beaked whales are residents, and, due to the irregularity of their detection, sperm whales are likely occasional visitors to this region. The unsupervised clustering algorithm performed better than the tested filtering algorithm, with F-scores of 0.74 and 0.46, respectively. This study provides knowledge that can help with effective conservation efforts and further contribute to our understanding of cetacean occurrence in the region.
DOI: 10.18710/gziuzl/3dkk4m
title: ECOSENS_HF23_VT_74_ocean_irradiance.txt
DOI: 10.18710/gziuzl/crr5qp
title: ECOSENS_HF22_C3_a.txt
DOI: 10.18710/gziuzl/gkrsjb
title: ECOSENS_GF21_6_ocean_radiance.txt
DOI: 10.18710/gziuzl/jckxb1
title: ECOSENS_HF22_F1_ocean_radiance.txt
DOI: 10.18710/gziuzl/qptxn7
title: ECOSENS_HF23_F2_meta.txt
DOI: 10.18710/ivua0a/159qzn
title: 06_coll-profile_gehen_POS.png
DOI: 10.18710/ivua0a/3urzha
title: 07_coll-profile_rot_Lemma.png
DOI: 10.18710/ivua0a/cckbsu
title: 07_coll-profile_neuADJA_POS.txt
DOI: 10.18710/ivua0a/fsrcwh
title: 06_coll-profile_präsentieren_Lemma.txt
DOI: 10.18710/ivua0a/h2lusd
title: 07_coll-profile_schmal_Lemma.txt
DOI: 10.18710/ivua0a/kbxxge
title: 07_coll-profile_idyllisch_Lemma.png
DOI: 10.18710/ivua0a/p1h3au
title: 07_coll-profile_zahlreich_POS.txt
DOI: 10.18710/ivua0a/sykq05
title: 07_coll-profile_prächtig_POS.txt
DOI: 10.18710/ivua0a/tn2arw
title: 07_coll-profile_malerisch_POS.png
DOI: 10.18710/ivua0a/wqxqal
title: 07_coll-profile_erbaut_POS.txt
DOI: 10.18710/ivua0a/yv3xgo
title: 07_coll-profile_weitADJD_Lemma.txt
DOI: 10.18710/tgrolw/7oipeo
title: 20230418_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/bpa7wm
title: 20230712_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/cep0yk
title: 20230816_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/fwdh5a
title: 20230622_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/ghdypa
title: 20230728_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/gxgw92
title: 20230823_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/hhou4a
title: 20230512_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/hiaeii
title: 20230621_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/ihzwt0
title: 20230908_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/jucxn1
title: 20230513_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/pkolvg
title: 20230505_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/qhcapn
title: 20230910_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/rva6ny
title: 20230913_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/saunss
title: 20230511_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/t2ck1k
title: 20230529_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/ttwrep
title: 20230426_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/unr23h
title: 20230808_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/vwhylt
title: 20230912_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/wjanci
title: 20230817_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/wnntpp
title: 20230630_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/z1atob
title: 20230505_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/zxm2yc
title: 20230605_NYA_REDTEC_gal.txt
DOI: 10.18710/umdoq0/8ditd7
title: 20230915_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/9cghut
title: 20230714_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/eivudw
title: 20230919_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ejwhjp
title: 20231230_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/g4duia
title: 20231128_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/u3t392
title: 20230906_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/v2rsy9
title: 20230716_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/vo2k7d
title: 20230707_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/wfwi2j
title: 20230917_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/zqfgrx
title: 20230723_KHO_REDTEC_glo.txt
DOI: 10.18710/wko9qr
title: Replication Data for: Vertical distribution of mites (Acari) in a forest bog in Western Norway

description: Data come from samples collected by Torstein Solhøy and Anna Seniczak on 28th May 2008 in a forest bog in Neshalvøya, Kvam municipality, Vestland province, Norway (60.154°N 5.930°E, 35 m asl). At the bog four sites with Sphagnum mosses were selected and from each of them samples from 4 depths (0-5 cm, 5-10 cm, 10-15 cm, and 15-20 cm), each 10 cm x 20 cm of the area, were taken. Mites were extracted using modified Berlese funnels at the University of Bergen. Mite groups (Oribatida, Mesostigmata and Prostigmata) were counted under stereomicroscope, including both adults and juvenile instars. Oribatida were further determined to species using keys for adults and other publications to identify the juvenile instars.
description: CANOCO, 5.15
description: STATISTICA, 12.5
DOI: 10.18710/gziuzl/76cwv3
title: ECOSENS_HF23_B1_ocean_irradiance.txt
DOI: 10.18710/ivua0a/2wtuu6
title: 06_coll-profile_errichten_POS.txt
DOI: 10.18710/ivua0a/9vthnv
title: 06_coll-profile_verbinden_POS.txt
DOI: 10.18710/ivua0a/ipdd7v
title: 07_coll-profile_langADJD_POS.png
DOI: 10.18710/ivua0a/naifke
title: 07_coll-profile_jüdisch_Lemma.png
DOI: 10.18710/ivua0a/xgtof6
title: 07_coll-profile_gotisch_POS.txt
DOI: 10.18710/ivua0a/y0fu2e
title: 06_coll-profile_erbauenVVPP_POS.txt
DOI: 10.18710/ivua0a/zvvrbu
title: 06_coll-profile_treffen_POS.txt
DOI: 10.18710/n1fi7e/hejqeo
title: 20241226_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/jwqxze
title: 20241126_NYA_REDOBS_gal.txt
DOI: 10.18710/n1fi7e/lf7ojl
title: 20241031_NYA_REDOBS_glo.txt
DOI: 10.18710/n1fi7e/qcofsa
title: 20241008_NYA_REDOBS_glo.txt
DOI: 10.18710/ozpaww/3vtrs0
title: 20240312_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/5wvtqe
title: 20240112_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/tnmkl0
title: 20240319_BJN_REDTEC_gal.txt
DOI: 10.18710/tynihf/jzbhpt
title: 20231014_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/pzqzji
title: 20231207_HOP_REDTEC_gps.txt
DOI: 10.18710/gziuzl/ckgnmy
title: ECOSENS_GF21_7_meta.txt