cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/ffanm0
title: Educational dataset: Application of long read sequencing to determine expressed antigen diversity in Trypanosoma brucei infections

description: &lt;p&gt;
The dataset is created for use in the teaching of the undergraduate course &lt;a href="https://www.uib.no/en/course/BINF200"&gt;BINF200 - Analysis of Biological Sequences and Structures&lt;/a&gt;, first used in Autumn 2023.
&lt;/p&gt;

&lt;p&gt;
The dataset contains (1) the processed, filtered and sample annotated sequenced reads in fasta format from Jayaraman et al (2019), repackaged in individual sample files and (2) a local database of variant surface glycoprotein (VSG) sequences in the Trypanosoma brucei reference strain TREU927.
&lt;/p&gt;

&lt;p&gt;
The original data are available in GEO dataset &lt;a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM3151449"&gt;GSE114843&lt;/a&gt;. Further details about the original data are available at &lt;a href="https://github.com/siddharthjayaraman/longread-application"&gt;github.com/siddharthjayaraman/longread-application&lt;/a&gt; (archived at &lt;a href="https://doi.org/10.5281/zenodo.10043245"&gt;https://doi.org/10.5281/zenodo.10043245&lt;/a&gt;).
&lt;p&gt;

&lt;p&gt;
The database of TREU927 VSG sequences is based on the (outdated) TREU927 genome v26. It is included for educational purposes and to reproduce results from the original publication. For research purposes always use the most recent genome version at &lt;a href="https://tritrypdb.org/"&gt;tritrypdb.org&lt;/a&gt;. 
&lt;/p&gt;

&lt;p&gt;
The code that was used to generate the present data as well as educational notebooks of downstream analyses are available at &lt;a href="https://github.com/tmichoel/BINF200-bio-sequences-structures"&gt;github.com/tmichoel/BINF200-bio-sequences-structures&lt;/a&gt; (archived at &lt;a href="https://doi.org/10.5281/zenodo.10043222"&gt;https://doi.org/10.5281/zenodo.10043222&lt;/a&gt;).
&lt;p&gt;

Consider using Tree View to browse the files efficiently.
DOI: 10.18710/fyfnfv/jvjfmh
title: 01_Data.txt

description: This is the data.
DOI: 10.18710/hnttsn/r292ep
title: Informed_consent_original_and_translation.docx
DOI: 10.18710/j4wlvi/81uktw
title: 20230119_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/eqtjer
title: 20230120_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/fynb5e
title: 20230324_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/nn3gyw
title: 20230212_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/pbohlv
title: 20230209_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/rcomnr
title: 20230214_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/xv8jeq
title: 20230331_HOP_REDOBS_glo.txt
DOI: 10.18710/kliss5/1naurn
title: 01_Fridtjovbreen_Spring_2020_Images.zip

description: Contains all the raw images from the drone mapping campaign.
DOI: 10.18710/t1vqla/r5ve9r
title: _Simulation_Log_1_Sheet_12.csv
DOI: 10.18710/tgrolw/ggdcv5
title: 20230301_NYA_REDTEC_gps.txt
DOI: 10.18710/umdoq0/jcm7wm
title: 20231015_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/rqo556
title: 20231119_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ryot5z
title: 20231226_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/s1niae
title: 20231108_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/yeic8x
title: 20231010_KHO_REDTEC_gal.txt
DOI: 10.18710/yvecmk/rn8lao
title: Figure7_SYSTEMA_dataset2_newFA_m.mat

description: Figure7_ Experimental mass flow profile of data set 2 extracted on 27.10.2021 from the demonstration plant at CERN
DOI: 10.18710/zapdyr/dgcxmm
title: 001_circular-plot.Rmd
DOI: 10.18710/bax9n5/3lso8n
title: conf-static_mutation_rate_combinations_-_delete_rates.zip
DOI: 10.18710/j4wlvi/b5iqc0
title: 20230110_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/gibjhh
title: 20230117_HOP_REDOBS_glo.txt
DOI: 10.18710/t1vqla/9weul6
title: _Simulation_Log_1_Sheet_9.csv
DOI: 10.18710/umdoq0/0dvomc
title: 20231110_KHO_REDTEC_gps.txt
DOI: 10.18710/wqizax/gydp8a
title: Fractions H9C2_20230131_HL_WST-1C.csv
DOI: 10.18710/wqizax/nki8zt
title: Crudes_MOLM13_20221126MOLM13A.csv
DOI: 10.18710/wqizax/qcw70b
title: Ordinary one-way ANOVA of H9C2 Multiple comparisons Fractions.txt
DOI: 10.18710/wqizax/qmamul
title: 20230221_PC3_HL_WST-1E.csv
DOI: 10.18710/yvecmk/u2bpuo
title: Figure78_SystemA_dataset2_newFAp_diff1.tex

description: resulting pressure profiles: trans-critical, receiver, suction pressure of the mass flow rate profiles of data set 2 (solid) operating with the modified control logic. Also used in Figure 8 to compare the experimental and numerical results;
DOI: 10.18710/yvecmk/yjwlck
title: 00_README_file.txt

description: - Read me -
DOI: 10.18710/bax9n5/zrarhr
title: git-gc-evoruns.sh
DOI: 10.18710/h8ektm/lnrzgm
title: F065-2.001.iey
DOI: 10.18710/h8ektm/vnrtoj
title: F085-2.001.iex
DOI: 10.18710/vm0wkq/7023ug
title: GTEx_Aor_1_109821511.csv
DOI: 10.18710/wqizax/3smkm3
title: Fractions H9C2_20230210_HL_WST-1C.csv
DOI: 10.18710/wqizax/blmyua
title: 20230210_H9C2_HL_WST-1A.csv
DOI: 10.18710/wqizax/ccellw
title: COLORCORRECTION_DMEM_BLK.csv
DOI: 10.18710/wqizax/cpvx8i
title: 20230221_PC3_HL_WST-1A.csv
DOI: 10.18710/wqizax/f85znb
title: Fractions MCF7_20230224_HL_WST-1D.csv
DOI: 10.18710/wqizax/gqnd1m
title: Nonlin fit of 17.txt
DOI: 10.18710/wqizax/ij4ocj
title: Fractions NRK_20230210_HL_WST-1B.csv
DOI: 10.18710/wqizax/obpyih
title: 20221117_DMEM_HL_WST-1.csv
DOI: 10.18710/wqizax/oh2j52
title: Nonlin fit of Aqueous.txt
DOI: 10.18710/wqizax/plfk1f
title: Fractions PC3_20230221_HL_WST-1B.csv
DOI: 10.18710/wqizax/pxutdv
title: Ordinary one-way ANOVA of NRK ANOVA results Fractions.txt
DOI: 10.18710/wqizax/q72aey
title: 20230210_MOLM13_HL_WST-1B.csv
DOI: 10.18710/wqizax/qmk5xr
title: 20230308_PC3_HL_WST-1B.csv
DOI: 10.18710/wqizax/rjjrzi
title: Nonlin fit of Isopropanol IMPORTANT VALUES.txt
DOI: 10.18710/wqizax/rtyi4b
title: Ordinary one-way ANOVA of MCF7 Multiple comparisons.txt
DOI: 10.18710/wqizax/u2joyz
title: Fractions NRK_20230131_HL_WST-1A.csv
DOI: 10.18710/wqizax/w8bhno
title: Nonlin fit of Transform of 15UP.txt
DOI: 10.18710/wqizax/xvrxid
title: 20230221_PC3_HL_WST-1D.csv
DOI: 10.18710/wqizax/yt6wur
title: 20230309_MOLM13_HL_WST-1B.csv
DOI: 10.18710/wqizax/zlunw3
title: Fractions PC3_20230308_HL_WST-1B.csv
DOI: 10.18710/yh76vy/vavgbm
title: 00_readme.txt

description: Methodological overview and data-specific information
DOI: 10.18710/yvecmk/hatn2j
title: Figure6_SystemA_avData2_old_pdiff1.txt

description: pressure profiles (trans-critical, receiver, suction) for data set 2
DOI: 10.18710/ffanm0/jnwbz1
title: PacBio_VSG_filtered_reads_balbc_6_2.fasta
DOI: 10.18710/ibbsgd/qp4krp
title: 03_2022_Paulabreen_Ortho.jpg
DOI: 10.18710/l41rkz/l3saoj
title: 02_DEM_Tellbreen_20220906.tif
DOI: 10.18710/l41rkz/zbsai6
title: 01_Images_Longyearbreen_20231023.zip
DOI: 10.18710/t1vqla/5ibkkk
title: 3_5_2023_D_Ship_Dynamics.csv
DOI: 10.18710/t1vqla/qewffk
title: 00_ReadMe_Main.txt
DOI: 10.18710/t1vqla/qhf459
title: _Simulation_Log_Sheet_1.csv
DOI: 10.18710/vm0wkq/v9poxv
title: STARNET_Sf_15_79124475.csv
DOI: 10.18710/wqizax/4qtzc6
title: Fractions NRK_SUM NRK.csv
DOI: 10.18710/wqizax/do6jnb
title: Fractions PC3.xlsx
DOI: 10.18710/wqizax/lihwai
title: 20230214_NRK_HL_WST-1A.csv
DOI: 10.18710/wqizax/qairfr
title: 20221126_MOLM13_HL_WST-1B.csv
DOI: 10.18710/zapdyr/b06am3
title: 00_Readme.txt
DOI: 10.18710/cfbqsn/ycd621
title: questionnaire_EN_AFTER.pdf
DOI: 10.18710/h8ektm/1ylqcf
title: Fn56-2.001.ihx
DOI: 10.18710/h8ektm/46oipu
title: Fn37-2.002.iex
DOI: 10.18710/h8ektm/ux5r6p
title: F114-2.001.dex
DOI: 10.18710/h8ektm/wybx1m
title: F096-2.001.ihx
DOI: 10.18710/h8ektm/x8venk
title: BM_All.inv
DOI: 10.18710/h8ektm/xos8gx
title: Fn74-2.001.ihx
DOI: 10.18710/j4wlvi/1ddyvd
title: 20230315_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/1moony
title: 20230321_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/3dwczc
title: 20230321_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/7mvlbf
title: 20230101_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/erqz8d
title: 20230314_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/f1wna5
title: 20230102_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/p2lqjg
title: 20230123_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/r14x3h
title: 20230224_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/rc3q2a
title: 20230307_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/rsohjw
title: 20230103_HOP_REDOBS_glo.txt
DOI: 10.18710/t1vqla/cmngto
title: savedrecs_4.txt
DOI: 10.18710/t1vqla/vgjhp2
title: savedrecs_15.txt
DOI: 10.18710/t1vqla/vwaxaf
title: savedrecs_7.txt
DOI: 10.18710/tgrolw/6jwh8e
title: 20230125_NYA_REDTEC_gal.txt
DOI: 10.18710/umdoq0/0k0vdp
title: 20231121_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/basvj6
title: 20231209_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/iaj0rg
title: 20231103_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/imfsrt
title: 20231205_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ji5tty
title: 20231009_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/s6t8ks
title: 20231019_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/tk3dwy
title: 20231003_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/w47q9q
title: 20231106_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/xkqoiw
title: 20231125_KHO_REDTEC_glo.txt
DOI: 10.18710/cfbqsn/gakj12
title: 2022-10-01_ID_1165.pdf
DOI: 10.18710/cfbqsn/y0difn
title: Intervjuguide-norsk.pdf
DOI: 10.18710/h8ektm/152nfj
title: F111-2.001.dhx
DOI: 10.18710/h8ektm/fowf6a
title: Fn64-2.001.iex
DOI: 10.18710/h8ektm/pjiax1
title: FSUA-2.008.dex
DOI: 10.18710/h8ektm/tpjqev
title: F066-2.001.ihx
DOI: 10.18710/h8ektm/u45hue
title: F112-2.001.ihx
DOI: 10.18710/h8ektm/xausbm
title: F103-2.001.dhx
DOI: 10.18710/t1vqla/wjtfib
title: _Simulation_Log_1_Sheet_2.csv
DOI: 10.18710/tgrolw/fqc26o
title: 20230322_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/i7a24c
title: 20230124_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/nvzwh9
title: 20230223_NYA_REDTEC_glo.txt
DOI: 10.18710/umdoq0/lcotp1
title: 20231227_KHO_REDTEC_glo.txt
DOI: 10.18710/j4wlvi/1lopus
title: 20230321_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/aq0obu
title: 20230929_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/ehjczi
title: 20230301_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/etnh7v
title: 20230218_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/frx55m
title: 20230124_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/koazjy
title: 20230327_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/r0zpqh
title: 20230125_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/xoojzd
title: 20230309_HOP_REDOBS_gps.txt
DOI: 10.18710/tgrolw/dl3mff
title: 20230222_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/p4my6o
title: 20230114_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/rjhpih
title: 20230314_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/vmbgn4
title: 20230301_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/xb74zc
title: 20230320_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/zhepyz
title: 20230110_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/zz6nsc
title: 20230220_NYA_REDTEC_gal.txt
DOI: 10.18710/umdoq0/zmozq7
title: 20231211_KHO_REDTEC_gps.txt
DOI: 10.18710/wqizax/eeyllk
title: Fractions PC3_20230221_HL_WST-1D.csv
DOI: 10.18710/wqizax/mvyq6y
title: 20230221_PC3_HL_WST-1B.csv
DOI: 10.18710/b553mb
title: Drone-based mapping of calving rates of Borebreen in Svalbard

description: This database contains drone-based mapping data of the crevassed and surging glacier of Borebreen in Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file format, orthomosaic maps in georeferenced .TIF, and textured 3D models in .STL and .PDF file format. In addition, a process report in archived .PDF file format is included for each dataset. Mapping was conducted with a DJI Mavic 2 Pro Enterprise. The fieldwork was conducted in August of 2023 over several days with access to Borebreen via boat. The mapping area covers the crevassed glacier front on five days between 01 Aug 2023 and 12 Aug 2023. In addition, the glacier forefield was mapped over several days and combined into one fileset. There are two subsets of data. First, there are the files Glacier-subset-A/B for the 20230811 dataset. This data contains a subset of the glacier which was taken before (A) anda after (B) a major calving event happening on the same day. It is intended to study very short time-span calving rates. The second dataset is the Forefield-subset, that includes a larger area that was mapped using oblique mapping (in constrast to the nadir mapping in the rest of the dataset. Processing of the data was conducted by Richard Hann. Data aquisiton by Richard Hann and Nil Rodes (20230801). Project and fieldwork support by Wojciech Gajek, Danni Pearce, and William Harcourt.
DOI: 10.18710/bax9n5/wlygje
title: conf-static_mutation_rate_combinations-singleCellWin.zip
DOI: 10.18710/dyrrae/9idf41
title: DatasetZrBasedConversionCoatings.zip
DOI: 10.18710/dyrrae/vldxe6
title: 10_FileOverview.sha256.txt
DOI: 10.18710/e9ctjs/jkivso
title: 20230102_BJN_REDOBS_gal.txt
DOI: 10.18710/ilryhb
title: Lexical semantics trumps syntax during noun composition in predication and modification contexts: Insights from the N400 and alpha and beta band synchronization

description: Compositionality is the thesis that the meanings of complex expressions are derived from the meanings of their constituent parts and syntactic structure. Questions arise on the relative impact of lexical semantics vs syntax on composition and whether a single vs multiple composition operations are applied. Here, we use a new experimental paradigm to study how syntactic mode of composition (predication vs modification) and lexical semantic properties of the words combined (different adjective classes) influence EEG signals. We compared nouns in sentences composing with a verb (predication) or an adjective (modification) against conditions in which the same noun and adjective, or verb, were separated by a syntactic boundary, preventing composition locally. ERPs and oscillatory responses were modulated primarily by the lexical semantic properties of the words combined, and not by the syntactic mode of composition. N400 amplitudes were larger for nouns after verbs and privative adjectives (e.g., ‘fake’), relative to intersective or subsective adjectives. Alpha and beta band responses were also more prominent after verbs, followed by privative adjectives, subsective adjectives, and intersective adjectives. Our results challenge the neurobiological relevance of linguistic theories that distinguish instances of composition according to syntactic mode of combination, while abstracting away from the specific semantic contributions of the content words involved.
DOI: 10.18710/j4wlvi/3jd8c4
title: 20230222_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/7j4an9
title: 20230304_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/bttko7
title: 20230829_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/c3bfy6
title: 20230223_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/evy78k
title: 20230708_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/jer294
title: 20230224_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/ktvf73
title: 20230107_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/o4l4ka
title: 20230309_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/qyzgcm
title: 20230811_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/sd1unm
title: 20230214_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/sxa2ax
title: 20230326_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/ucvp07
title: 20230129_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/zowzu1
title: 20230327_HOP_REDOBS_gps.txt
DOI: 10.18710/szzdli/ldcerx
title: FringColl_FT+LM_results.csv
DOI: 10.18710/tgrolw/7pde70
title: 20230226_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/t62cwc
title: 20230320_NYA_REDTEC_gps.txt
DOI: 10.18710/u8s3xx/jcszye
title: 06_ClipExpVacMyr_20230806_SRCdata.csv

description: The data file, with data for the Standard Reference Curve calculation, in csv-format, which is used in the R-script (the file: 01__ClipExpVacMyr_20230806_R-script.R).
DOI: 10.18710/vm0wkq/0imxr9
title: STARNET_Vaf_10_104604916.csv
DOI: 10.18710/vm0wkq/69fe3x
title: GTEx_Sf_1_222829550.csv
DOI: 10.18710/wqizax/6vbjr1
title: Nonlin fit of Transform of 16 IMPORTANT VALUES.txt
DOI: 10.18710/wqizax/w2egdf
title: 20221126_MOLM13_HL_WST-1A.csv
DOI: 10.18710/wqizax/xqmiat
title: 20230214_MOLM13_HL_WST-1D.csv
DOI: 10.18710/yh76vy/w8qxvs
title: egg_hatching.txt

description: Egg hatching success data
DOI: 10.18710/h8ektm/5llg6h
title: FSUA-2.008.iey
DOI: 10.18710/h8ektm/9muwfe
title: F097-2.001.iex
DOI: 10.18710/h8ektm/bwkymi
title: F113-2.001.iey
DOI: 10.18710/h8ektm/c5nsqf
title: Fn85-2.001.ihx
DOI: 10.18710/h8ektm/fi8c2z
title: Fn77-2.001.dey
DOI: 10.18710/h8ektm/hsdkkx
title: FSUA-2.005.dey
DOI: 10.18710/h8ektm/j3wbp7
title: F075-2.001.iey
DOI: 10.18710/h8ektm/kemcrr
title: Fn84-2.001.ihx
DOI: 10.18710/h8ektm/llbcww
title: BM_All_NLCG_114.prm
DOI: 10.18710/h8ektm/mjbcvr
title: Fn84-2.001.dhx
DOI: 10.18710/h8ektm/oybyju
title: Fn84-2.002.ihx
DOI: 10.18710/h8ektm/pwvkew
title: Fn83-2.001.dex
DOI: 10.18710/h8ektm/re6w16
title: F103-2.001.ihx
DOI: 10.18710/h8ektm/sphl76
title: Fn95-2.001.ihy
DOI: 10.18710/h8ektm/stt85m
title: F055-2.001.dey
DOI: 10.18710/h8ektm/vkxkdj
title: F076-2.001.ihx
DOI: 10.18710/h8ektm/vzcvuq
title: F103.2023-02-16.edi
DOI: 10.18710/h8ektm/xwfnin
title: Fn85-2.001.iex
DOI: 10.18710/h8ektm/yrw2jg
title: F062-2.001.dey
DOI: 10.18710/h8ektm/zfckku
title: Fn77-2.002.iex
DOI: 10.18710/h8ektm/zp3ffn
title: FSUA-2.006.dey
DOI: 10.18710/h8ektm/zwwggu
title: Fn85-2.001.dey
DOI: 10.18710/j4wlvi/1jy7uq
title: 20230916_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/1z6tnn
title: 20230926_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/4pdml3
title: 20230701_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/aoia5f
title: 20230902_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/bkslrx
title: 20230925_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/blf2vt
title: 20230819_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/dxfjuv
title: 20230930_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/jwz5vv
title: 20230119_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/jy6cts
title: 20230702_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/k46fr3
title: 20230501_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/lsnhj9
title: 20230816_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/oxrs5f
title: 20230802_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/pimrq2
title: 20230804_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/qctzgj
title: 20230825_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/r0bitn
title: 20230912_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/ug3ovl
title: 20230726_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/uot5cp
title: 20230810_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/v4r8ma
title: 20230829_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/wvx9aq
title: 20230923_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/wzhb7n
title: 20230111_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/x9j6tz
title: 20230703_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/yamzco
title: 20230911_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/z26j4v
title: 20230816_HOP_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/6pqg5l
title: 20230622_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/zhll4k
title: 20230213_BJN_REDOBS_glo.txt
DOI: 10.18710/efduxj/3nrpdj
title: Ciona_bayesian.RDS
DOI: 10.18710/efduxj/dccopd
title: filtration_rate_05.23.RDS
DOI: 10.18710/h8ektm/032ajj
title: F111-2.001.ihx
DOI: 10.18710/h8ektm/dj8ckb
title: F113-2.001.dey
DOI: 10.18710/h8ektm/ewkb1y
title: Fn57-2.001.dhy
DOI: 10.18710/h8ektm/hsughr
title: F094.2023-02-16.edi
DOI: 10.18710/h8ektm/iujdpo
title: F084-2.001.ihx
DOI: 10.18710/h8ektm/k7dgoc
title: Fn84-2.002.dey
DOI: 10.18710/h8ektm/kxqipy
title: F063-2.001.dhy
DOI: 10.18710/h8ektm/lizpix
title: F103-2.001.dhy
DOI: 10.18710/h8ektm/qgnxbu
title: Fn66-2.001.dey
DOI: 10.18710/mojbdk/518wfd
title: 00READMEWhenModalityAndTenseMeet.txt
DOI: 10.18710/tgrolw/33aidh
title: 20230129_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/5mtj0w
title: 20230205_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/gccgdx
title: 20230309_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/h5wm1n
title: 20230219_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/lqfg7z
title: 20230316_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/mjt2uc
title: 20230308_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/okvedw
title: 20230121_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/qvw56x
title: 20230202_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/wxhfea
title: 20230110_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/xacctg
title: 20230102_NYA_REDTEC_gps.txt
DOI: 10.18710/u8s3xx/afscuc
title: 01_ClipExpVacMyr_20230806_R-script.R

description: The script to be used in the software R, which will perform all analyses as explained and used in the related publication (Schrijvers-Gonlag et al. 2023).
DOI: 10.18710/1u2aqj/kfjs7y
title: rnc-search_10.html.extracted
DOI: 10.18710/65wijo/aypguy
title: AKMA1_SST1_DIC.txt
DOI: 10.18710/c1r1in/sowret
title: 00_README_AKMA1_SST6.txt
DOI: 10.18710/c1r1in/x7w3z4
title: AKMA1_SST6_Dive26a_DEM.asc
DOI: 10.18710/cfbqsn/u1wncb
title: questionnaire_EN_BEFORE.pdf
DOI: 10.18710/e9ctjs/1aw2id
title: 20230115_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/ib5rsu
title: 20230126_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/ubdtzd
title: 20230130_BJN_REDOBS_glo.txt
DOI: 10.18710/h8ektm/cad3r7
title: F055.2023-02-16.edi
DOI: 10.18710/h8ektm/mbidkx
title: FSUA-2.006.iex
DOI: 10.18710/ibbsgd/9xn9ib
title: 04_2022_Paulabreen_Report.pdf
DOI: 10.18710/t1vqla/sovups
title: _Simulation_Log_1_Sheet_7.csv
DOI: 10.18710/t1vqla/sppctb
title: additional_data_on_EDM.txt
DOI: 10.18710/tgrolw/an3ydd
title: 20230316_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/zgnhgn
title: 20230131_NYA_REDTEC_glo.txt
DOI: 10.18710/1u2aqj/idjcps
title: rnc-search_12.html.extracted
DOI: 10.18710/c1r1in/p5t1fb
title: 00_README_AKMA1_SST6.txt
DOI: 10.18710/cfbqsn/aay9lp
title: 2022-09-30_ID_NA_2.pdf
DOI: 10.18710/ddgnwa
title: In-situ drift and wave observations of sea ice, icebergs and open ocean in the Greenland Sea

description: A data set of in-situ drift and wave observations of sea ice, icebergs and open ocean collected in the Greenland Sea in the time period from April until December 2022. A total of 20 drifters were deployed in western Fram Strait in Spring 2022, as part of the CIRFA-22 cruise. This cruise was conducted by the Centre for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA).
DOI: 10.18710/e9ctjs/axloyh
title: 20230624_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/cclcsh
title: 20230305_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/ilkcli
title: 20230128_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/jkfxsj
title: 20230314_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/lczuqa
title: 20230319_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/qdaelf
title: 20230103_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/qz5dey
title: 20230122_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/s2fjjx
title: 20230122_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/sxhgqd
title: 20230325_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/tfl5tl
title: 20230224_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/u7skgc
title: 20230207_BJN_REDOBS_gal.txt
DOI: 10.18710/h8ektm/9ssmyu
title: F076-2.001.iex
DOI: 10.18710/h8ektm/h8vd1t
title: F055-2.001.iey
DOI: 10.18710/h8ektm/vlk8fc
title: F076-2.001.dhx
DOI: 10.18710/t1vqla/y6vcr0
title: savedrecs_16.txt
DOI: 10.18710/tgrolw/tysrpf
title: 20230119_NYA_REDTEC_gal.txt
DOI: 10.18710/tp4cms/wwrdap
title: Line_VR_1.sgy
DOI: 10.18710/vxgpii/c0zxbf
title: with_Aset_2_Responses_of_ _NTUA_model_measured.dat
DOI: 10.18710/vxgpii/mquxk5
title: without_Aset_4_ Frequency_spectra_of_NTUA_model_responses_measured.dat
DOI: 10.18710/zcdx1b/5pbuix
title: dataset_readme.txt

description: Information about the database
DOI: 10.18710/e9ctjs/cmhqys
title: 20230131_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/tgclvx
title: 20230129_BJN_REDOBS_gal.txt
DOI: 10.18710/efduxj/vfofwn
title: S3_Supplementary_QPCR.qmd
DOI: 10.18710/h8ektm/0mhpsw
title: Fn84-2.001.iey
DOI: 10.18710/tp4cms/lpvw3z
title: 00_Readme.txt

description: Readme with the details of the dataset.
DOI: 10.15468/dl.nx8hmn
title: Occurrence Download

description: A dataset containing 151941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Micropogonias undulatus (Linnaeus, 1766)"
 ]
}

 The dataset includes 151941 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113122-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.