cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/losnxk/p3pyc3
title: Final_demo_2020_stdev_P_Pin_E39_N19.tif
DOI: 10.18710/nlunzz/tby9q8
title: 8.Statistical_analyses.pdf
DOI: 10.18710/rbqoac/jrzvvx
title: 66537_2024-12-02_12-44-40_C_phy_k_manual.zip

description: The data include raw recording data, subject position, subject head direction, subject speed, and spike-times per unit. All subjects are adults. The data are provided as NWB files, which are a subset of the HDF5 standard. NWB-specific APIs are available in Python (pynwb) and MatLab (matnwb). If other languages are preferred, any HDF5-compatible library will provide access (e.g. `hdf5` for golang, `rhdf5` for R, etc). Example loading scripts are provided in Python (see ‘02_nwb.py’).
DOI: 10.18710/vk8lus/tbcuka
title: Final_demo_2020_stdev_P_Abi_E39_N39.tif
DOI: 10.18710/1eiovf/uevhvm
title: 10_DEG_Normoxia_to_Anoxia_lncRNAIP_csv.txt
DOI: 10.18710/d3rk2i/ce2e5f
title: Circuit_11_Current.csv
DOI: 10.18710/d3rk2i/g1lrm3
title: Circuit_2_Current.csv
DOI: 10.18710/d3rk2i/jxpvqf
title: Circuit_5_PF.csv
DOI: 10.18710/d3rk2i/qc0vca
title: Circuit_1_Current.csv
DOI: 10.18710/ehmqu7/05ilwm
title: ImagesF1.zip
DOI: 10.18710/i3fmy0/e1pu1z
title: 00_ReadMe.txt
DOI: 10.18710/jxjp0h/3g83e8
title: ELE402HSE018PRES20251112.csv
DOI: 10.18710/jxjp0h/awaiqu
title: ELE402HSE046CONC20251128.csv
DOI: 10.18710/jxjp0h/fctbkh
title: ELE402HSE042TEMP20251127.csv
DOI: 10.18710/jxjp0h/orl9m0
title: ELE402HSE010PRES20251111.csv
DOI: 10.18710/lblyqt/52h6mk
title: 080215.hdf5
DOI: 10.18710/lblyqt/8x7vc8
title: 082335.hdf5
DOI: 10.18710/lblyqt/cdypch
title: 083145.hdf5
DOI: 10.18710/lblyqt/icr0vs
title: 082445.hdf5
DOI: 10.18710/lblyqt/jurb66
title: 082905.hdf5
DOI: 10.18710/lblyqt/kbn93y
title: 081345.hdf5
DOI: 10.18710/lblyqt/nyqcdt
title: 081635.hdf5
DOI: 10.18710/lblyqt/ogunsk
title: 081105.hdf5
DOI: 10.18710/losnxk/lce3ne
title: Final_demo_2020_stdev_P_Pin_E49_N19.tif
DOI: 10.18710/losnxk/s7dnwg
title: Final_demo_2020_P_Pin_E49_N19.tif
DOI: 10.18710/losnxk/vg4eu7
title: Final_demo_2020_stdev_P_Pin_E54_N29.tif
DOI: 10.18710/losnxk/ztp2eq
title: Final_demo_2020_stdev_P_Pin_E24_N24.tif
DOI: 10.18710/mcsuag/4ubajr
title: Final_demo_2020_DBH_E34_N19.tif
DOI: 10.18710/nlunzz/0gypny
title: 4.Grass_yield_macroplots.xlsx
DOI: 10.18710/nlunzz/4ljuwf
title: 7.Statistical_analyses.docx
DOI: 10.18710/plzgfd/ps32kq
title: 02_Norw_shielings.txt

description: Dataset with radiocarbon dates from shielings across Norway
DOI: 10.18710/rbqoac/83boew
title: 65165_2023-07-29_15-34-20_A_phy_k_manual.zip

description: The data include raw recording data, subject position, subject head direction, subject speed, and spike-times per unit. All subjects are adults. The data are provided as NWB files, which are a subset of the HDF5 standard. NWB-specific APIs are available in Python (pynwb) and MatLab (matnwb). If other languages are preferred, any HDF5-compatible library will provide access (e.g. `hdf5` for golang, `rhdf5` for R, etc). Example loading scripts are provided in Python (see ‘02_nwb.py’).
DOI: 10.18710/t3c1eu/yej9nx
title: Diet_Benthosema_glaciale.txt
DOI: 10.18710/vj3d9s/dwzyyj
title: 00_Readme_threaten_cluster.txt

description: A readme file accompanying the datafile
DOI: 10.18710/vk8lus/463b5a
title: Final_demo_2020_stdev_P_Abi_E54_N34.tif
DOI: 10.18710/vk8lus/5howrd
title: Final_demo_2020_P_Abi_E54_N19.tif
DOI: 10.18710/vk8lus/qm7x9c
title: Final_demo_2020_stdev_P_Abi_E49_N54.tif
DOI: 10.18710/vk8lus/rtumnu
title: Final_demo_2020_stdev_P_Abi_E59_N14.tif
DOI: 10.18710/vk8lus/tfsjji
title: Final_demo_2020_stdev_P_Abi_E39_N34.tif
DOI: 10.18710/vk8lus/x1qejc
title: Final_demo_2020_stdev_P_Abi_E44_N14.tif
DOI: 10.18710/vyqfpk/frhick
title: Maliniemi_et_al_2025_Ecography_R_code.R
DOI: 10.18710/xakjy6/yhfb6s
title: clad.txt
DOI: 10.18710/xn6wjn/vd4jjn
title: 05_Contexts&features2.txt

description: Form/crosstab with dates (century) and contexts/features
DOI: 10.18710/1eiovf/1jhkf2
title: 08_DEG_Normoxia to Reoxygenation_lncrna_csv.txt
DOI: 10.18710/1eiovf/mzskev
title: cc_counts_N21.txt
DOI: 10.18710/1rp4ot/mvreyz
title: 00_README.txt
DOI: 10.18710/8i9g81/o5gj5y
title: 03_Auer_et_al_2025_Dataset_Mixed+Organic boxes_Dry-1.txt

description: Grain size measurements, CT density, and XRF values for the dry, mixed sediment & organic content-filled synthetic sediment boxes
DOI: 10.18710/b7lpbd/ogpzow
title: Slate_tools_2019.csv
DOI: 10.18710/jxjp0h/5c4lt6
title: ELE402HSE047CONC20251128.csv
DOI: 10.18710/jxjp0h/lg7tcz
title: ELE402HSE016CONC20251112.csv
DOI: 10.18710/jxjp0h/suaiar
title: ELVHYS WP4.2 TCS Sensor Details.pdf
DOI: 10.18710/jxjp0h/wgao0a
title: ELE402HSE044PRES20251128.csv
DOI: 10.18710/jxjp0h/xibui6
title: ELE402HSE007FLMT2025118.csv
DOI: 10.18710/lgzvvt/guzggw
title: microbiome-full-workflow.html
DOI: 10.18710/plzgfd/ybg80r
title: 00_ReadMe.txt

description: Readme file
DOI: 10.18710/qrxulf/hxjpcl
title: Accentuation_Dataset.csv

description: Dataset with vowel duration data across the three accentuation statuses
DOI: 10.18710/rbqoac/kjmo0g
title: 66538_2024-12-02_11-22-15_C_phy_k_manual.zip

description: The data include raw recording data, subject position, subject head direction, subject speed, and spike-times per unit. All subjects are adults. The data are provided as NWB files, which are a subset of the HDF5 standard. NWB-specific APIs are available in Python (pynwb) and MatLab (matnwb). If other languages are preferred, any HDF5-compatible library will provide access (e.g. `hdf5` for golang, `rhdf5` for R, etc). Example loading scripts are provided in Python (see ‘02_nwb.py’).
DOI: 10.18710/tep9xo/pm9qej
title: 07_Table3_Placea.pdf
DOI: 10.18710/xn6wjn/6tzbvu
title: 00_ReadMe.txt

description: Read me -dile
DOI: 10.18710/1eiovf/7yy5ot
title: 09_DEG_Anoxia to Reoxygenation_lncrna_csv.txt
DOI: 10.18710/1eiovf/gcaqnd
title: cc_counts_R11.txt
DOI: 10.18710/1eiovf/u2rvwa
title: cc_counts_N18.txt
DOI: 10.18710/1eiovf/yqdgtz
title: cc_counts_A5.txt
DOI: 10.18710/g46iwc
title: Replication data for REEF3D Sommerfeld benchmarking and Sirevåg harbor application case

description: The data set contains the necessary simulation files and key output files for the results shown in the related publication. Specifically, the dataset should allow the reproduction of the REEF3D::NHFLOW and SWAN simulations. Certain result deviations may occur due to different software versions and irregular wave seeds.
DOI: 10.18710/gshjeb/1wbmpp
title: 11_tmm_expression_counts.tsv.txt
DOI: 10.18710/gshjeb/gqtdxm
title: 03_DEG_Normoxia_to_Reoxygenation_csv.txt
DOI: 10.18710/hosuv0/ytl5a9
title: 00_README_ONESTEP_Attenuation.txt
DOI: 10.18710/kxjcjf
title: Replication Data for: "Riparian forest buffer management: Evaluating adherence to certification standards"

description: This dataset contains research data collected from 27 forest stand next to watercourses. The data was sampled from randomly selected stands in South-Eastern Norway focusing on species composition, stand structure, and site conditions. All stands were harvested in 2020 and 2021. All the stands were logged as clearcuts subject to The Programme for the Endorsement of Forest Certification (PEFC) 2015 requirements of riparian buffer. The aim of this study was to investigate the quality of the subjective assessment of riparian buffer management being applied and whether the management complies with the requirements and intentions of the certification standard.
description: R Studio, 4.3.1
DOI: 10.18710/lblyqt/6fehmy
title: 084625.hdf5
DOI: 10.18710/lblyqt/eftpur
title: 081505.hdf5
DOI: 10.18710/lblyqt/gtoqni
title: 082705.hdf5
DOI: 10.18710/lblyqt/ltiril
title: 082615.hdf5
DOI: 10.18710/lblyqt/nengk7
title: 081955.hdf5
DOI: 10.18710/lblyqt/ut4woz
title: 081925.hdf5
DOI: 10.18710/lblyqt/y4p8vk
title: 083825.hdf5
DOI: 10.18710/nlunzz/14fbr7
title: 4.Grass_yield_macroplots.txt
DOI: 10.18710/nsf2kn/hy8u9h
title: Fig5_Output10.txt

description: Strain 1.0%. In the file from left to right, the columns represent the Temperature, Switching Time, Standard Deviation, and the Standard Error.
DOI: 10.18710/nwik1u/ugvsfx
title: 04_SMILES_all_structures.csv
DOI: 10.18710/rbqoac/8rwwgp
title: 65091_2023-08-08_13-32-49_C_phy_k_manual.zip

description: The data include raw recording data, subject position, subject head direction, subject speed, and spike-times per unit. All subjects are adults. The data are provided as NWB files, which are a subset of the HDF5 standard. NWB-specific APIs are available in Python (pynwb) and MatLab (matnwb). If other languages are preferred, any HDF5-compatible library will provide access (e.g. `hdf5` for golang, `rhdf5` for R, etc). Example loading scripts are provided in Python (see ‘02_nwb.py’).
DOI: 10.18710/rbqoac/wkmeim
title: 63385_2024-07-18_17-05-03_C_phy_k_manual.zip

description: The data include raw recording data, subject position, subject head direction, subject speed, and spike-times per unit. All subjects are adults. The data are provided as NWB files, which are a subset of the HDF5 standard. NWB-specific APIs are available in Python (pynwb) and MatLab (matnwb). If other languages are preferred, any HDF5-compatible library will provide access (e.g. `hdf5` for golang, `rhdf5` for R, etc). Example loading scripts are provided in Python (see ‘02_nwb.py’).
DOI: 10.18710/t3c1eu
title: Diet of blue whiting (Micromesistius poutassou), glacier lanternfish (Benthosema glaciale), Norway pout (Trisopterus esmarkii) and pearlside (Maurolicus muelleri) in two northern Norwegian fjords

description: &lt;p&gt;Dry weight diet data for blue whiting (Micromesistius poutassou), glacier lanternfish (Benthosema glaciale), Norway pout (Trisopterus esmarkii) and pearlside (Maurolicus muelleri) from samples collected in Vestfjorden and Vesterålsfjorden in April 2024. The purpose of this data collection and analysis was to investigate the diet of fish species in Northern Norway, both to supplement data for some species, but also to study the diet of species where data are scarce.&lt;p&gt;

&lt;p&gt;For the four studied species, individuals were selected for stomach analysis if they were in good condition and without an inverted stomach. Predator lengths were measured for all species, and predator weights were measured for blue whiting and Norway pout. Based on visual analysis, different prey groups found in the stomach content were separated and identified to the most detailed taxonomic level as possible. For each fish sample of the four studied species, identified prey group heaps from a fish sample were dried and weighed.&lt;p&gt;
DOI: 10.18710/tep9xo/j99mnw
title: 00_README_file_PlaceaAlternating.txt

description: This file contains the necessary info about the data and the files in this data package.
DOI: 10.18710/v1ndv6
title: Replication Data for: Field test of assumptions for using line transect distance sampling on rock ptarmigan

description: Line transect distance sampling using pointing dogs, is an established survey method for willow ptarmigan and has also been proposed for monitoring of rock ptarmigan. In this study, we tested assumptions of line transect distance sampling that: (i) birds on the transect are detected with certainty and (ii) birds are detected at their initial location. We also investigated factors potentially influencing detection probability. We conducted field experiments in 2022 and 2023, by walking line transects while accompanied by a pointing dog, towards GPS-tagged rock ptarmigans. All rock ptarmigans within 0-30 m from the line transect were detected with 100% certainty. All birds were found close to their initial position, and most birds were passive (74%) as the surveyors approached. The best models to explain detection probability included the bird’s distance to the transect and the time of day an experiment was conducted. The distance to the transect had a strong negative effect, which is expected in line transect distance sampling designs. The time of day when conducting experiments also had a non-linear effect on detection probability, with lower detectability during midday compared to the morning and evening .
description: R, version 4.4.1
DOI: 10.18710/zajlvt
title: Drone-based glacier mapping of Borebreen in Svalbard, 2025

description: This database contains drone-based mapping data of Borebreen, in Svalbard, Norway. Borebreen is a tidewater-terminating surge-type glacier located on the north-side of Isfjorden. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file format, orthomosaic maps in georeferenced .TIF, .JPG, and .PNG file format, and textured 3D models in .STL and .JPG file format. A 3D model of the glacier is also provided in .OBJ file format. In addition, a process report in archived .PDF file format is included for each dataset. Mapping was conducted with a large fixed-wing drone, the Mugin-2 Pro as well as with a smaller quadcopter, the DJI Mavic 3 Pro Enterprise. The Mugin was used to map a very large area of the glacier (approx 40km²) whereas the Mavic was only used to map the front of the glacier. Data collection was conducted during Autumn 2025 (08.09.2025).
DOI: 10.18710/1eiovf/dwegjy
title: cc_counts_A6.txt
DOI: 10.18710/2e7ckw/qjxwrh
title: storfjord_tomo2d.nc

description: P-wave velocity model of Storfjorden based on traveltime tomography in netCDF format
DOI: 10.18710/2e7ckw/tkqxrx
title: storfjord_rayinvr.nc

description: P-wave velocity model of Storfjorden based on traveltime forward modeling in netCDF format
DOI: 10.18710/dnb6ud/9kipan
title: Final_demo_2020_P_OthCon_E44_N34.tif
DOI: 10.18710/dnb6ud/dedqq2
title: Final_demo_2020_P_OthCon_E49_N54.tif
DOI: 10.18710/dnb6ud/gfrkju
title: Final_demo_2020_P_OthCon_E34_N34.tif
DOI: 10.18710/dnb6ud/kao4rf
title: Final_demo_2020_P_OthCon_E39_N34.tif
DOI: 10.18710/dnb6ud/tkjajn
title: Final_demo_2020_P_OthCon_E49_N49.tif
DOI: 10.18710/dnb6ud/yy3gru
title: Final_demo_2020_P_OthCon_E44_N49.tif
DOI: 10.18710/gshjeb/syzd7s
title: cc_counts_N1.txt
DOI: 10.18710/gshjeb/tnleet
title: cc_counts_A4.txt
DOI: 10.18710/hlvdj7/5kldil
title: HWA-FlowCharacterisation.zip
DOI: 10.18710/hosuv0/b4kqm4
title: 03_Attenuation_350_csv.zip

description: All 300 kHz data, csv format. See Read Me.
DOI: 10.18710/lblyqt/2afl1d
title: 083815.hdf5
DOI: 10.18710/lblyqt/cgpzdv
title: 083855.hdf5
DOI: 10.18710/lblyqt/iycc70
title: 083505.hdf5
DOI: 10.18710/lblyqt/jbdjv8
title: 084315.hdf5
DOI: 10.18710/losnxk/bi1lzr
title: Final_demo_2020_stdev_P_Pin_E34_N14.tif
DOI: 10.18710/losnxk/dolu5g
title: Final_demo_2020_P_Pin_E39_N29.tif
DOI: 10.18710/losnxk/h0fcmw
title: Final_demo_2020_stdev_P_Pin_E29_N39.tif
DOI: 10.18710/losnxk/hiu8oz
title: Final_demo_2020_P_Pin_E34_N29.tif
DOI: 10.18710/losnxk/rjxed9
title: Final_demo_2020_stdev_P_Pin_E44_N39.tif
DOI: 10.18710/mcsuag/i5anft
title: Final_demo_2020_DBH_E49_N14.tif
DOI: 10.18710/rk1xky/07iy9d
title: open_plot_pdf.pdf

description: Jupyter notebook for opening and plotting the data set, in .pdf format.
DOI: 10.18710/rk1xky/3leyzx
title: open_plot.ipynb

description: Jupyter notebook for opening and plotting the data.
DOI: 10.18710/ztnnbi/hgd8mp
title: Site_names.txt

description: Full site names for abbreviations in metadata_raw.txt
DOI: 10.18710/ztnnbi/jc7tjo
title: map4fwd.fasta

description: Mapping file for demultiplexing library 4 V4, forward primer and tag
DOI: 10.18710/ztnnbi/kzprzk
title: specindi.txt

description: File for R script when doing species indicatior analyses, curated and ready.
DOI: 10.18710/ztnnbi/lwd8l7
title: R_script_archies.R

description: R script for analyses of the data in this project: Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes
DOI: 10.18710/ztnnbi/zzufyi
title: 00_README.txt

description: Read me file including file description and instructions, as well as accesion numbers for the raw sequence data.
DOI: 10.18710/dnb6ud/4kcvys
title: Final_demo_2020_P_OthCon_E44_N14.tif
DOI: 10.18710/dnb6ud/dqdrkg
title: Final_demo_2020_P_OthCon_E34_N39.tif
DOI: 10.18710/dnb6ud/j7w78a
title: Final_demo_2020_P_OthCon_E49_N29.tif
DOI: 10.18710/dnb6ud/mwejz6
title: Final_demo_2020_P_OthCon_E49_N44.tif
DOI: 10.18710/lblyqt/004lsd
title: 082355.hdf5
DOI: 10.18710/lblyqt/hscvjm
title: 081815.hdf5
DOI: 10.18710/mcsuag/o3vgx4
title: Final_demo_2020_DBH_E39_N39.tif
DOI: 10.18710/mcsuag/vizc0m
title: Final_demo_2020_DBH_E39_N14.tif
DOI: 10.18710/mcsuag/wy1v10
title: Final_demo_2020_DBH_E34_N24.tif
DOI: 10.18710/t3c1eu/l6orjl
title: Diet_Micromesistius_poutassou.txt
DOI: 10.18710/y7m8qa/w64tme
title: Final_demo_2020_BA_E39_N14.tif
DOI: 10.18710/2wsuqd/zpcoh3
title: EMAN7_NODE7_Area_3.zip

description: High-resolution orthomosaic (0.002 m/pix) of Area 3 in GeoTIFF and tfw formats.
DOI: 10.18710/8i9g81/gwut1n
title: 07_Auer_et_al_2025_TrainingDataset_POS513-42.txt

description: Grain size measurements, CT density, and XRF values used to train the grain size prediciton models for core POS513-41
DOI: 10.18710/d3rk2i/wa0zij
title: L31_Voltage.csv
DOI: 10.18710/dnb6ud/566xhh
title: Final_demo_2020_stdev_P_OthCon_E39_N34.tif
DOI: 10.18710/dnb6ud/7jndof
title: Final_demo_2020_stdev_P_OthCon_E29_N39.tif
DOI: 10.18710/dnb6ud/e0iqmt
title: Final_demo_2020_P_OthCon_E44_N54.tif
DOI: 10.18710/dnb6ud/fjgbxl
title: Final_demo_2020_stdev_P_OthCon_E44_N39.tif
DOI: 10.18710/dnb6ud/ovtezs
title: Final_demo_2020_stdev_P_OthCon_E29_N34.tif
DOI: 10.18710/dnb6ud/pwyjsa
title: Final_demo_2020_stdev_P_OthCon_E34_N19.tif
DOI: 10.18710/dnb6ud/v5ehjz
title: Final_demo_2020_P_OthCon_E49_N24.tif
DOI: 10.18710/dnb6ud/w0c5al
title: Final_demo_2020_stdev_P_OthCon_E34_N24.tif
DOI: 10.18710/jxmg1m/nxgyan
title: IcelandicAlternatingVerbs.csv
DOI: 10.18710/k6wa0v/pc0wb2
title: 02_Background_DISCEFRN_Web-scraped_dataset.pdf
DOI: 10.18710/lblyqt/cxtnvg
title: 083245.hdf5
DOI: 10.18710/lblyqt/g7ojr9
title: 084125.hdf5
DOI: 10.18710/lblyqt/hb4yrv
title: 085535.hdf5
DOI: 10.18710/lblyqt/hpv3nw
title: 084705.hdf5
DOI: 10.18710/lblyqt/iznroz
title: 084055.hdf5
DOI: 10.18710/lblyqt/jmtrhn
title: 084305.hdf5
DOI: 10.18710/lblyqt/mrmpzu
title: 091245.hdf5
DOI: 10.18710/lblyqt/mx13z6
title: 084255.hdf5
DOI: 10.18710/lblyqt/puiusz
title: 084945.hdf5
DOI: 10.18710/lblyqt/rhhbil
title: 085035.hdf5
DOI: 10.18710/lgzvvt/fmpg7f
title: dada2-denoise-assign.R
DOI: 10.18710/mcsuag/bf3jaf
title: Final_demo_2020_DBH_E49_N49.tif
DOI: 10.18710/mcsuag/hhujli
title: Final_demo_2020_DBH_E44_N24.tif
DOI: 10.18710/mcsuag/nvnugb
title: Final_demo_2020_DBH_E44_N44.tif
DOI: 10.18710/mcsuag/w5w95x
title: Final_demo_2020_DBH_E24_N14.tif
DOI: 10.18710/tep9xo/xj1bua
title: 06_Table2_Multumi.pdf
DOI: 10.18710/vyqfpk/o9jz9c
title: Maliniemi_et_al_2025_Ecography_data_for_Figure_4.csv
DOI: 10.18710/y7m8qa/lhgawn
title: Final_demo_2020_BA_E34_N29.tif
DOI: 10.18710/y7m8qa/vycd7m
title: Final_demo_2020_stdev_BA_E49_N49.tif
DOI: 10.18710/avg3au
title: Supporting Data for: Fish Show Genetic Evolutionary Responses to River Regulation

description: Eco-hydraulics traditionally aims at managing riverine systems in a semi-natural state while meeting human demands, assuming aquatic species are evolutionarily static. However, evidence of rapid evolution suggests that ignoring evolutionary dynamics of fish species might limit long-term effectiveness of eco-hydraulics frameworks. It remains unclear how freshwater fish adapt to human perturbation. Why are some fish populations more resilient to human perturbation than others? What are the genetic mechanisms behind it? To answer these questions, we genotyped eleven populations of three-spined stickleback in a regulated river system and collected data on river morphology, connectivity, flow regimes, physico-chemistry and parasite abundance through a combination of field surveys and modelling. Gene-environment association analysis detected strong signals of genetic divergence associated with hydraulic features. Gene ontology analysis revealed evolutionary responses that primarily involve functions in the nervous and sensory systems. These findings demonstrate that fish can evolve in response to river regulation, highlighting the need to transition from eco-hydraulics toward eco-evo-hydraulics. Our results can currently be accessed through a non-peer-reviewed bioRxiv preprint at Cai and Deflem et al. (2025), Fish Show Genetic Evolutionary Responses to River Regulation (DOI: 10.1101/2025.08.01.668107). This supporting dataset includes Genotyping-by-Sequencing data from 14 populations of three-spined stickleback collected in 2017 from the Demer Basin, Belgium, together with parasite and habitat data from the paired sampling sites. After quality filtering, 11 populations were retained and analyzed in Cai and Deflem et al. (2025).
description: FastQC, v0.11.9
description: Stacks, v2.54
description: BWA, v0.7.17
description: GATK, v4.2.0.0
description: VCFtools, v0.1.16
description: PLINK, v2.00a3.1
DOI: 10.18710/lblyqt/64xxgj
title: 085705.hdf5
DOI: 10.18710/lblyqt/gopst4
title: 083445.hdf5
DOI: 10.18710/1eiovf/0cl17t
title: cc_counts_A5.txt
DOI: 10.18710/1eiovf/b1c06x
title: 05_CPC2_output_lncRNA_codpot.txt
DOI: 10.18710/1eiovf/ektqau
title: cc_counts_R12.txt
DOI: 10.18710/39ifc7/69bk2q
title: 3.4_Breaking_wave.zip

description: Dection 3.4_Breaking_wave simulation files and key results
DOI: 10.18710/42mxql/dfqa6p
title: EPO1.25b_Model.zip
DOI: 10.18710/b3kze3/d9awkw
title: population_metadata.RDS
DOI: 10.18710/b3kze3/lutj6g
title: bii_data_download_date.txt

description: download date of the biodiversity intactness index data
DOI: 10.18710/bnzrru/drzff4
title: visualcodes.txt

description: Data file
DOI: 10.18710/bnzrru/eit7wr
title: assoc.png
DOI: 10.18710/bnzrru/fego0k
title: genvisreps.m

description: Matlab program file
DOI: 10.18710/bnzrru/flggfv
title: lettermaps.txt

description: Data file
DOI: 10.18710/bnzrru/icj42f
title: letter.png
DOI: 10.18710/d3rk2i/ciqxmx
title: Circuit_0_PF.csv
DOI: 10.18710/ehmqu7/2j2ifg
title: FV216.jpg
DOI: 10.18710/ehmqu7/gxx26h
title: MPR.csv
DOI: 10.18710/h8ey4e/lfh6az
title: 04_dataset_place_analysis_survey_20240806_20240906_utf.csv
DOI: 10.18710/h8ey4e/pdbugh
title: 01_email_survey_participation_request_norwegian.pdf
DOI: 10.18710/lblyqt/91uhbg
title: 091255.hdf5
DOI: 10.18710/lblyqt/aubkjc
title: 083415.hdf5
DOI: 10.18710/lblyqt/chg3ak
title: 091225.hdf5
DOI: 10.18710/lblyqt/eusuuv
title: 091225.hdf5
DOI: 10.18710/lblyqt/fozblt
title: 085935.hdf5
DOI: 10.18710/lblyqt/ftdfp3
title: 085835.hdf5
DOI: 10.18710/lblyqt/fyn0x4
title: 090705.hdf5
DOI: 10.18710/lblyqt/gmopwv
title: 083405.hdf5
DOI: 10.18710/lblyqt/lxjxsl
title: 083555.hdf5
DOI: 10.18710/lblyqt/mypdpo
title: 085245.hdf5
DOI: 10.18710/lblyqt/rqzez7
title: 083945.hdf5
DOI: 10.18710/lblyqt/tm91qy
title: 091025.hdf5
DOI: 10.18710/lblyqt/tsa4pw
title: 090535.hdf5
DOI: 10.18710/lblyqt/x02ycg
title: 085825.hdf5
DOI: 10.18710/lblyqt/y08ase
title: 084935.hdf5
DOI: 10.18710/mcsuag/5fpkr3
title: Final_demo_2020_stdev_DBH_E54_N29.tif
DOI: 10.18710/mcsuag/clkqeu
title: Final_demo_2020_DBH_E54_N19.tif
DOI: 10.18710/mcsuag/o0jsyq
title: Final_demo_2020_stdev_DBH_E39_N14.tif
DOI: 10.18710/mcsuag/ppi0be
title: Final_demo_2020_DBH_E49_N39.tif
DOI: 10.18710/mcsuag/qy3gif
title: Final_demo_2020_stdev_DBH_E29_N39.tif
DOI: 10.18710/mcsuag/sq7saw
title: Final_demo_2020_stdev_DBH_E39_N29.tif
DOI: 10.18710/mcsuag/udx2qy
title: Final_demo_2020_stdev_DBH_E34_N24.tif
DOI: 10.18710/mcsuag/xmarp8
title: Final_demo_2020_DBH_E59_N14.tif
DOI: 10.18710/nlunzz/0rswse
title: 3.Yearly_data_em_yield_soil.txt
DOI: 10.18710/nlunzz/jeiwol
title: 3.Yearly_data_em_yield_soil.xlsx
DOI: 10.18710/nlunzz/sfneee
title: 2.Data_per_PFR.xlsx
DOI: 10.18710/nlunzz/uwyotk
title: 00_README_text.txt
DOI: 10.18710/nsf2kn/poyc5p
title: Fig4a_S1.txt

description: Trajectory of Macrospin S1.
DOI: 10.18710/nsf2kn/sqc6iu
title: Fig4a_S2.txt

description: Trajectory of Macrospin S2.
DOI: 10.18710/plzgfd/glm01t
title: 01_Protocol.txt

description: Protocol for R
DOI: 10.18710/tep9xo/pgdgq1
title: 02_Multumi_Codebook.pdf

description: This file contains info about the annotated variables, their levels and extra explanations