cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7886453
title: MedProcNER/ProcTEMIST Corpus: Gold Standard annotations for Clinical Procedures Information Extraction

description: <strong>MedProcNER</strong> stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of resources focused on the detection, normalization and indexing of clinical procedures in medical documents in Spanish. MedProcNER is complementary to the DisTEMIST corpus (https://temu.bsc.es/distemist) as they both use the same document collection, which is why it's also called ProcTEMIST. This repository includes the Train Set of the task, which includes a total of 750 documents. The unannotated test text files are also included so that predictions can be created for them. Finally, we include a gazetteer of possible SNOMED CT codes for the normalization and indexing tasks. For more information, please check the attached README file. <strong>** UPDATE MAY 2nd 2023</strong>: Second part of the train set, test set texts and gazetteer now available! MedProcNER was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioASQ @ CLEF 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/medprocner. <strong>Related Links:</strong> - MedProcNER website: https://temu.bsc.es/medprocner - MedProcNER Guidelines: https://doi.org/10.5281/zenodo.7817666 <strong>License</strong> This work is licensed under a Creative Commons Attribution 4.0 International License. <strong>Contact</strong> If you have any questions or suggestions, please contact us at: - Salvador Lima-López (&lt;salvador [dot] limalopez [at] gmail [dot] com&gt;)<br> - Martin Krallinger (&lt;krallinger [dot] martin [at] gmail [dot] com&gt;)
DOI: 10.5281/zenodo.7929830
title: MedProcNER/ProcTEMIST Corpus: Gold Standard annotations for Clinical Procedures Information Extraction

description: <strong>MedProcNER</strong> stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of resources focused on the detection, normalization and indexing of clinical procedures in medical documents in Spanish. MedProcNER is complementary to the DisTEMIST corpus (https://temu.bsc.es/distemist) as they both use the same document collection, which is why it's also called ProcTEMIST. This repository includes the Train Set of the task, which includes a total of 750 documents. The unannotated test text files are also included so that predictions can be created for them. Finally, we include a gazetteer of possible SNOMED CT codes for the normalization and indexing tasks. For more information, please check the attached README file. <strong>** UPDATE MAY 2nd 2023</strong>: Second part of the train set, test set texts and gazetteer now available! <strong>** UPDATE MAY 12th 2023</strong>: We've uploaded a new version of the gazetteer that removes some ambiguous codes wrongfully added from older SNOMED versions MedProcNER was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioASQ @ CLEF 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/medprocner. <strong>Related Links:</strong> - MedProcNER website: https://temu.bsc.es/medprocner - MedProcNER Guidelines: https://doi.org/10.5281/zenodo.7817666 <strong>License</strong> This work is licensed under a Creative Commons Attribution 4.0 International License. <strong>Contact</strong> If you have any questions or suggestions, please contact us at: - Salvador Lima-López (&lt;salvador [dot] limalopez [at] gmail [dot] com&gt;)<br> - Martin Krallinger (&lt;krallinger [dot] martin [at] gmail [dot] com&gt;)
DOI: 10.6084/m9.figshare.24573580.v2
title: 7SK RNA SL3 DMS-MaPseq DREEM processed data

description: Structural plasticity is integral to RNA function; however, there are currently few methods to quantitatively resolve RNAs that have multiple structural states. NMR spectroscopy is a powerful approach for resolving conformational ensembles but is size-limited. Chemical probing is well-suited for large RNAs but provides limited structural and kinetics information. Here, we integrate the two approaches to visualize a two-state conformational ensemble for the central stem-loop 3 (SL3) of 7SK RNA, a critical element for 7SK RNA function in transcription regulation. We find that the SL3 distal end exchanges between two equally populated yet structurally distinct states in both isolated SL3 constructs and full-length 7SK RNA. We rationally designed constructs that lock SL3 into a single state and demonstrate that both chemical probing and NMR data fit to a linear combination of the two states. Comparison of vertebrate 7SK RNA sequences shows either or both states are highly conserved. These results provide new insights into 7SK RNA structural dynamics and demonstrate the utility of integrating chemical probing with NMR spectroscopy to gain quantitative insights into RNA conformational ensembles.
DOI: 10.7910/dvn/2b23if/paamwt
title: 43-5_0074.dcm
DOI: 10.7910/dvn/2b23if/tjb4uw
title: 43-5_0208.dcm
DOI: 10.7910/dvn/c7khmf/4y3t9k
title: 26-1_0128.dcm
DOI: 10.7910/dvn/c7khmf/byaqyy
title: 26-5_0039.dcm
DOI: 10.7910/dvn/c7khmf/jjozfd
title: 26-1_0098.dcm
DOI: 10.7910/dvn/c7khmf/nyfon1
title: 26-5_0106.dcm
DOI: 10.7910/dvn/c7khmf/parqf2
title: 26-1_0082.dcm
DOI: 10.7910/dvn/c7khmf/qnlzcm
title: 26-1_0057.dcm
DOI: 10.7910/dvn/c7khmf/rfifxs
title: 26-5_0119.dcm
DOI: 10.7910/dvn/c7khmf/yc6kin
title: 26-5_0179.dcm
DOI: 10.7910/dvn/c7khmf/z4lql8
title: 26-5_0040.dcm
DOI: 10.7910/dvn/rltszj/aavw4b
title: 43-5_0150.dcm
DOI: 10.7910/dvn/rltszj/qvvfyl
title: 43-1_0091.dcm
DOI: 10.7910/dvn/c7khmf/80rsib
title: 26-5_0062.dcm
DOI: 10.7910/dvn/c7khmf/c40lnp
title: 26-1_0131.dcm
DOI: 10.7910/dvn/c7khmf/fuyqmw
title: 26-1_0243.dcm
DOI: 10.7910/dvn/c7khmf/lsk4ht
title: 26-5_0067.dcm
DOI: 10.7910/dvn/c7khmf/mrtocs
title: 26-5_0019.dcm
DOI: 10.7910/dvn/c7khmf/pds0qa
title: 26-5_0228.dcm
DOI: 10.7910/dvn/c7khmf/pfis1e
title: 26-1_0233.dcm
DOI: 10.7910/dvn/c7khmf/qh2elt
title: 26-1_0090.dcm
DOI: 10.7910/dvn/c7khmf/vww3fq
title: 26-5_0002.dcm
DOI: 10.7910/dvn/rltszj/eca9ce
title: 43-5_0104.dcm
DOI: 10.7910/dvn/rltszj/quaktt
title: 43-5_0044.dcm
DOI: 10.7910/dvn/rltszj/t7pncv
title: 43-1_0226.dcm
DOI: 10.7910/dvn/c7khmf/ckkyff
title: 26-5_0030.dcm
DOI: 10.7910/dvn/c7khmf/e0sydq
title: 26-1_0157.dcm
DOI: 10.7910/dvn/c7khmf/e2nyf5
title: 26-1_0075.dcm
DOI: 10.7910/dvn/c7khmf/gyajec
title: 26-1_0187.dcm
DOI: 10.7910/dvn/c7khmf/hnt0kk
title: 26-5_0234.dcm
DOI: 10.7910/dvn/c7khmf/t682c3
title: 26-5_0145.dcm
DOI: 10.7910/dvn/c7khmf/usosid
title: 26-1_0041.dcm
DOI: 10.7910/dvn/rltszj/fo6oa4
title: 43-5_0141.dcm
DOI: 10.7910/dvn/rltszj/jl1kjn
title: 43-5_0137.dcm
DOI: 10.7910/dvn/rltszj/l8vhh9
title: 43-1_0078.dcm
DOI: 10.7910/dvn/c7khmf/9sixgb
title: 26-1_0009.dcm
DOI: 10.7910/dvn/c7khmf/avlgmo
title: 26-1_0224.dcm
DOI: 10.7910/dvn/c7khmf/edpkdx
title: 26-5_0197.dcm
DOI: 10.7910/dvn/c7khmf/ftdb4m
title: 26-5_0214.dcm
DOI: 10.7910/dvn/c7khmf/fxsrhf
title: 26-1_0080.dcm
DOI: 10.7910/dvn/c7khmf/k19ruc
title: 26-5_0220.dcm
DOI: 10.7910/dvn/c7khmf/nlkbsr
title: 26-1_0247.dcm
DOI: 10.7910/dvn/c7khmf/ov45bs
title: 26-5_0090.dcm
DOI: 10.7910/dvn/c7khmf/yte9ho
title: 26-1_0007.dcm
DOI: 10.7910/dvn/c7khmf/ztgl6a
title: 26-5_0083.dcm
DOI: 10.7910/dvn/rltszj/gncxy0
title: 43-1_0032.dcm
DOI: 10.7910/dvn/rltszj/hc30f9
title: 43-5_0201.dcm
DOI: 10.7910/dvn/rltszj/qc9aeh
title: 43-1_0124.dcm
DOI: 10.6073/pasta/a3df1ab7dc48ec361a6bc92be38b19a2
title: Bonanza Creek Experimental Forest GIS Data:  Spot 5 Imagery

description: Spot 5 pan-sharpened satellite image in the Standard Creek area of the Tanana Valley, Alaska. This image was acquired and processed as part of the "Vegetation and Community Mapping of the Tanana Valley" project, conducted cooperatively by the State of Alaska Department of Natural Resources, Division of Forestry and Tanana Chiefs Conference.  Originator: State of Alaska, Dept. of Nat. Resources, Division of Forestry.  Publication_Date: 3/21/05.  Geospatial_Data_Presentation_Form: remote-sensing image.
DOI: 10.7910/dvn/c7khmf/1rfhz4
title: 26-5_0035.dcm
DOI: 10.7910/dvn/c7khmf/4p7s76
title: 26-5_0070.dcm
DOI: 10.7910/dvn/c7khmf/5ser2b
title: 26-1_0199.dcm
DOI: 10.7910/dvn/c7khmf/9ipw93
title: 26-1_0093.dcm
DOI: 10.7910/dvn/c7khmf/r4feoj
title: 26-1_0051.dcm
DOI: 10.7910/dvn/c7khmf/s5fj15
title: 26-1_0133.dcm
DOI: 10.7910/dvn/c7khmf/ss7srf
title: 26-1_0012.dcm
DOI: 10.7910/dvn/c7khmf/tgpbly
title: 26-5_0176.dcm
DOI: 10.7910/dvn/c7khmf/vrbuto
title: 26-1_0170.dcm
DOI: 10.7910/dvn/rltszj/5hgxcv
title: 43-1_0070.dcm
DOI: 10.7910/dvn/rltszj/jsxar8
title: 43-5_0059.dcm
DOI: 10.7910/dvn/c7khmf/1dnfq9
title: 26-1_0032.dcm
DOI: 10.7910/dvn/c7khmf/6lwxgv
title: 26-5_0231.dcm
DOI: 10.7910/dvn/c7khmf/vnexro
title: 26-1_0213.dcm
DOI: 10.7910/dvn/c7khmf/vpzr0q
title: 26-1_0008.dcm
DOI: 10.7910/dvn/c7khmf/xlywk1
title: 26-1_0129.dcm
DOI: 10.7910/dvn/c7khmf/xspybn
title: 26-1_0037.dcm
DOI: 10.7910/dvn/c7khmf/zqijkp
title: 26-5_0213.dcm
DOI: 10.7910/dvn/rltszj/esads0
title: 43-5_0168.dcm
DOI: 10.7910/dvn/rltszj/kkrgfe
title: 43-5_0226.dcm
DOI: 10.7910/dvn/rltszj/sj1ryf
title: 43-1_0228.dcm
DOI: 10.7910/dvn/rltszj/su5vzn
title: 43-5_0213.dcm
DOI: 10.7910/dvn/c7khmf/6hkk4v
title: 26-5_0154.dcm
DOI: 10.7910/dvn/c7khmf/ca7mz3
title: 26-1_0126.dcm
DOI: 10.7910/dvn/c7khmf/eyvzsz
title: 26-1_0204.dcm
DOI: 10.7910/dvn/c7khmf/ggac6e
title: 26-1_0006.dcm
DOI: 10.7910/dvn/c7khmf/goiqim
title: 26-1_0232.dcm
DOI: 10.7910/dvn/c7khmf/nl57wr
title: 26-1_0135.dcm
DOI: 10.7910/dvn/c7khmf/pos4ab
title: 26-5_0164.dcm
DOI: 10.7910/dvn/c7khmf/qxyokg
title: 26-1_0069.dcm
DOI: 10.7910/dvn/c7khmf/u3gnoz
title: 26-1_0162.dcm
DOI: 10.7910/dvn/rltszj/frxwmu
title: 43-5_0158.dcm
DOI: 10.7910/dvn/rltszj/n16jvs
title: 43-5_0106.dcm
DOI: 10.7910/dvn/c7khmf/1plzy8
title: 26-1_0208.dcm
DOI: 10.7910/dvn/c7khmf/a6geik
title: 26-5_0216.dcm
DOI: 10.7910/dvn/c7khmf/dlizkd
title: 26-1_0059.dcm
DOI: 10.7910/dvn/c7khmf/f48rv5
title: 26-5_0033.dcm
DOI: 10.7910/dvn/c7khmf/feoane
title: 26-1_0092.dcm
DOI: 10.7910/dvn/c7khmf/k65gt6
title: 26-5_0102.dcm
DOI: 10.7910/dvn/c7khmf/rngn9s
title: 26-1_0003.dcm
DOI: 10.7910/dvn/c7khmf/v9tuh6
title: 26-5_0129.dcm
DOI: 10.7910/dvn/c7khmf/zuequq
title: 26-5_0028.dcm
DOI: 10.7910/dvn/rltszj/izs1mw
title: 43-5_0139.dcm
DOI: 10.7910/dvn/rltszj/v3srxa
title: 43-5_0157.dcm
DOI: 10.7910/dvn/rltszj/wltcb0
title: 43-1_0237.dcm
DOI: 10.7910/dvn/c7khmf/2azeay
title: 26-1_0031.dcm
DOI: 10.7910/dvn/c7khmf/es2kt0
title: 26-5_0223.dcm
DOI: 10.7910/dvn/c7khmf/fzxisp
title: 26-5_0089.dcm
DOI: 10.7910/dvn/c7khmf/pmewu5
title: 26-1_0113.dcm
DOI: 10.7910/dvn/c7khmf/qm5k2e
title: 26-1_0240.dcm
DOI: 10.7910/dvn/c7khmf/sxyler
title: 26-1_0106.dcm
DOI: 10.7910/dvn/rltszj/bxnqmc
title: 43-5_0172.dcm
DOI: 10.7910/dvn/rltszj/cyzeop
title: 43-5_0020.dcm
DOI: 10.7910/dvn/rltszj/g5z0vg
title: 43-1_0176.dcm
DOI: 10.7910/dvn/rltszj/j2792d
title: 43-5_0057.dcm
DOI: 10.7910/dvn/rltszj/mddioy
title: 43-1_0188.dcm
DOI: 10.7910/dvn/rltszj/p7ltzl
title: 43-5_0182.dcm
DOI: 10.7910/dvn/rltszj/t0xdpd
title: 43-1_0181.dcm
DOI: 10.7910/dvn/rltszj/truhes
title: 43-5_0071.dcm
DOI: 10.7910/dvn/c7khmf/0jjpj8
title: 26-5_0249.dcm
DOI: 10.7910/dvn/c7khmf/1mblfh
title: 26-5_0020.dcm
DOI: 10.7910/dvn/c7khmf/ahflw4
title: 26-5_0125.dcm
DOI: 10.7910/dvn/c7khmf/i0husr
title: 26-1_0076.dcm
DOI: 10.7910/dvn/c7khmf/q5rpkw
title: 26-1_0236.dcm
DOI: 10.7910/dvn/c7khmf/qy887g
title: 26-5_0087.dcm
DOI: 10.7910/dvn/c7khmf/r2tpyx
title: 26-5_0222.dcm
DOI: 10.7910/dvn/c7khmf/xkb5lq
title: 26-1_0219.dcm
DOI: 10.7910/dvn/c7khmf/yyluzo
title: 26-5_0225.dcm
DOI: 10.7910/dvn/c7khmf/zajg0m
title: 26-1_0137.dcm
DOI: 10.7910/dvn/rltszj/czx5ty
title: 43-5_0028.dcm
DOI: 10.7910/dvn/rltszj/e5x5oe
title: 43-5_0100.dcm
DOI: 10.7910/dvn/rltszj/gmg3p2
title: 43-5_0215.dcm
DOI: 10.7910/dvn/rltszj/iuf2rr
title: 43-5_0156.dcm
DOI: 10.7910/dvn/rltszj/luyqlt
title: 43-5_0199.dcm
DOI: 10.7910/dvn/rltszj/rpkr2v
title: 43-1_0065.dcm
DOI: 10.7910/dvn/rltszj/upnech
title: 43-5_0090.dcm
DOI: 10.7910/dvn/rltszj/uxdjaz
title: 43-1_0045.dcm
DOI: 10.7910/dvn/rltszj/ytw8up
title: 43-5_0175.dcm
DOI: 10.6073/pasta/46ad4cb32a4a163e447cd42d756d7b2e
title: Kuskokwim River Floodplain: White Spruce (Picea glauca) annual tree-ring width measurements (mm) at breast height from tree-core samples taken above Red Devil on the Kuskokwim River in July, 2007

description: This dataset contains annual raw ring width measurements in the Tucsan (decadal format) (.rwl file extension) of 14 large white spruce trees growing within 50m of the Kuskokwim River. Ring-widths were measured to 0.001mm on a velmex laser micrometer and accuracy was checked by crossdating using COFECHA. Annual values were measured from 1779-2006.
DOI: 10.6073/pasta/8e2802436959ecd1da0fbe6178f2ea56
title: Firescars with distance from towns in Interior Alaska (1994-1999)

description: Buffers around settlements in Alaska in 5 km bins to a maximum distance of 45 km overlaid with 1994 - 1999 firescars, clipped to Interior Alaska.
DOI: 10.7910/dvn/c7khmf/bkajl2
title: 26-5_0159.dcm
DOI: 10.7910/dvn/c7khmf/dfivjy
title: 26-1_0079.dcm
DOI: 10.7910/dvn/c7khmf/ey33n0
title: 26-5_0108.dcm
DOI: 10.7910/dvn/c7khmf/jk39ov
title: 26-1_0099.dcm
DOI: 10.7910/dvn/c7khmf/kwijo4
title: 26-5_0157.dcm
DOI: 10.7910/dvn/c7khmf/u1ogt9
title: 26-1_0235.dcm
DOI: 10.7910/dvn/c7khmf/zojhv4
title: 26-5_0021.dcm
DOI: 10.7910/dvn/rltszj/3d9n1l
title: 43-5_0105.dcm
DOI: 10.7910/dvn/rltszj/6glsxj
title: 43-5_0054.dcm
DOI: 10.7910/dvn/rltszj/c8wl7p
title: 43-1_0222.dcm
DOI: 10.7910/dvn/rltszj/nznoib
title: 43-1_0074.dcm
DOI: 10.7910/dvn/rltszj/okntg1
title: 43-1_0003.dcm
DOI: 10.7910/dvn/rltszj/sdr1ug
title: 43-5_0185.dcm
DOI: 10.7910/dvn/rltszj/vvn7go
title: 43-5_0167.dcm
DOI: 10.7910/dvn/rltszj/vyfoyj
title: 43-5_0117.dcm
DOI: 10.7910/dvn/rltszj/wc4tjp
title: 43-5_0070.dcm
DOI: 10.7910/dvn/rltszj/wyduub
title: 43-1_0132.dcm
DOI: 10.7910/dvn/c7khmf/3iyjxk
title: 26-5_0237.dcm
DOI: 10.7910/dvn/c7khmf/3tzyuq
title: 26-5_0190.dcm
DOI: 10.7910/dvn/c7khmf/a3dja3
title: 26-1_0196.dcm
DOI: 10.7910/dvn/c7khmf/kvswq9
title: 26-5_0143.dcm
DOI: 10.7910/dvn/c7khmf/qmzvfy
title: 26-1_0018.dcm
DOI: 10.7910/dvn/c7khmf/tiy9ac
title: 26-1_0136.dcm
DOI: 10.7910/dvn/c7khmf/u82123
title: 26-5_0050.dcm
DOI: 10.7910/dvn/c7khmf/urtei6
title: 26-5_0199.dcm
DOI: 10.7910/dvn/c7khmf/x5hynu
title: 26-1_0060.dcm
DOI: 10.7910/dvn/rltszj/jqsdrj
title: 43-1_0150.dcm
DOI: 10.7910/dvn/rltszj/mwgu4y
title: 43-5_0079.dcm
DOI: 10.7910/dvn/rltszj/utfcga
title: 43-1_0107.dcm
DOI: 10.7910/dvn/c7khmf/9q3tf0
title: 26-1_0035.dcm
DOI: 10.7910/dvn/c7khmf/gckiba
title: 26-5_0013.dcm
DOI: 10.7910/dvn/c7khmf/h7wplu
title: 26-1_0002.dcm
DOI: 10.7910/dvn/c7khmf/pbsv18
title: 26-1_0148.dcm
DOI: 10.7910/dvn/c7khmf/ptruuw
title: 26-5_0121.dcm
DOI: 10.7910/dvn/c7khmf/ud9vju
title: 26-5_0217.dcm
DOI: 10.7910/dvn/c7khmf/watamr
title: 26-1_0237.dcm
DOI: 10.7910/dvn/c7khmf/zbfmys
title: 26-1_0097.dcm
DOI: 10.7910/dvn/rltszj/380iz0
title: 43-1_0131.dcm
DOI: 10.7910/dvn/rltszj/lfjym8
title: 43-5_0198.dcm
DOI: 10.7910/dvn/rltszj/n4bfrs
title: 43-5_0149.dcm
DOI: 10.7910/dvn/rltszj/rfsc7c
title: 43-5_0043.dcm
DOI: 10.7910/dvn/c7khmf/cz6xnj
title: 26-5_0043.dcm
DOI: 10.7910/dvn/c7khmf/e70htm
title: 26-5_0183.dcm
DOI: 10.7910/dvn/c7khmf/lutquk
title: 26-1_0029.dcm
DOI: 10.7910/dvn/c7khmf/nz3wxz
title: 26-1_0043.dcm
DOI: 10.7910/dvn/c7khmf/obfwu6
title: 26-5_0025.dcm
DOI: 10.7910/dvn/c7khmf/ovgol5
title: 26-5_0189.dcm
DOI: 10.7910/dvn/c7khmf/rsat7a
title: 26-5_0184.dcm
DOI: 10.7910/dvn/c7khmf/vf8gpa
title: 26-5_0207.dcm
DOI: 10.7910/dvn/rltszj/j4cqns
title: 43-5_0229.dcm
DOI: 10.7910/dvn/c7khmf/4oxkwj
title: 26-5_0056.dcm
DOI: 10.7910/dvn/c7khmf/6dkuxu
title: 26-5_0103.dcm
DOI: 10.7910/dvn/c7khmf/7hx4xz
title: 26-1_0124.dcm
DOI: 10.7910/dvn/c7khmf/9z8rcq
title: 26-1_0202.dcm
DOI: 10.7910/dvn/c7khmf/bvtrin
title: 26-5_0001.dcm
DOI: 10.7910/dvn/c7khmf/cj8bj2
title: 26-1_0014.dcm
DOI: 10.7910/dvn/c7khmf/m2mngh
title: 26-5_0140.dcm
DOI: 10.7910/dvn/c7khmf/tczsmk
title: 26-1_0040.dcm
DOI: 10.7910/dvn/c7khmf/ya9nth
title: 26-1_0116.dcm
DOI: 10.7910/dvn/c7khmf/1qwpcl
title: 26-5_0232.dcm
DOI: 10.7910/dvn/c7khmf/dpaqru
title: 26-1_0231.dcm
DOI: 10.7910/dvn/c7khmf/ewpopc
title: 26-1_0056.dcm
DOI: 10.7910/dvn/c7khmf/fvf2xs
title: 26-5_0117.dcm
DOI: 10.7910/dvn/c7khmf/i53ins
title: 26-5_0100.dcm
DOI: 10.7910/dvn/c7khmf/jvz2d0
title: 26-5_0162.dcm
DOI: 10.7910/dvn/c7khmf/okkafs
title: 26-1_0109.dcm
DOI: 10.7910/dvn/c7khmf/t9t28i
title: 26-1_0230.dcm
DOI: 10.7910/dvn/c7khmf/witm5b
title: 26-5_0014.dcm
DOI: 10.7910/dvn/c7khmf/chsl9i
title: 26-1_0038.dcm
DOI: 10.7910/dvn/c7khmf/g8x3gh
title: 26-5_0240.dcm
DOI: 10.7910/dvn/c7khmf/hfbd9h
title: 26-5_0012.dcm
DOI: 10.7910/dvn/c7khmf/iazdge
title: 26-1_0064.dcm
DOI: 10.7910/dvn/c7khmf/rb2ydw
title: 26-1_0022.dcm
DOI: 10.7910/dvn/c7khmf/sm7xeh
title: 26-5_0045.dcm
DOI: 10.7910/dvn/c7khmf/vuzwva
title: 26-1_0246.dcm
DOI: 10.7910/dvn/c7khmf/vyfraz
title: 26-1_0245.dcm
DOI: 10.7910/dvn/c7khmf/baitsu
title: 26-5_0058.dcm
DOI: 10.7910/dvn/c7khmf/c1f9hj
title: 26-5_0107.dcm
DOI: 10.7910/dvn/c7khmf/fexpsu
title: 26-5_0079.dcm
DOI: 10.7910/dvn/c7khmf/izun01
title: 26-5_0031.dcm
DOI: 10.7910/dvn/c7khmf/nggfrb
title: 26-1_0198.dcm
DOI: 10.7910/dvn/c7khmf/ri25h5
title: 26-5_0171.dcm
DOI: 10.7910/dvn/c7khmf/vbkf6u
title: 26-5_0095.dcm
DOI: 10.7910/dvn/c7khmf/z0kqyy
title: 26-5_0191.dcm
DOI: 10.7910/dvn/c7khmf/8jamax
title: 26-1_0118.dcm
DOI: 10.7910/dvn/c7khmf/cs42rg
title: 26-5_0098.dcm
DOI: 10.7910/dvn/c7khmf/dsqakm
title: 26-5_0086.dcm
DOI: 10.7910/dvn/c7khmf/fhtbdg
title: 26-5_0052.dcm
DOI: 10.7910/dvn/c7khmf/gwkzwe
title: 26-1_0017.dcm
DOI: 10.7910/dvn/c7khmf/ht0u8r
title: 26-5_0198.dcm
DOI: 10.7910/dvn/c7khmf/j5bcxs
title: 26-1_0181.dcm
DOI: 10.7910/dvn/c7khmf/lm9imy
title: 26-1_0021.dcm
DOI: 10.7910/dvn/c7khmf/wqgn3c
title: 26-1_0193.dcm
DOI: 10.7910/dvn/c7khmf/cl267a
title: 26-1_0081.dcm
DOI: 10.7910/dvn/c7khmf/ey6fgf
title: 26-1_0065.dcm
DOI: 10.7910/dvn/c7khmf/geuw2j
title: 26-5_0044.dcm
DOI: 10.7910/dvn/c7khmf/mc48fn
title: 26-5_0093.dcm
DOI: 10.7910/dvn/c7khmf/prvdf1
title: 26-1_0176.dcm
DOI: 10.7910/dvn/c7khmf/s859im
title: 26-1_0206.dcm
DOI: 10.7910/dvn/c7khmf/tnjbwp
title: 26-1_0011.dcm
DOI: 10.7910/dvn/c7khmf/v2jozu
title: 26-5_0136.dcm
DOI: 10.7910/dvn/c7khmf/wxu8uo
title: 26-1_0025.dcm
DOI: 10.7910/dvn/c7khmf/2g6xp5
title: 26-1_0089.dcm
DOI: 10.7910/dvn/c7khmf/5idaby
title: 26-5_0049.dcm
DOI: 10.7910/dvn/c7khmf/ab6hqt
title: 26-1_0151.dcm
DOI: 10.7910/dvn/c7khmf/cqtqs0
title: 26-5_0142.dcm
DOI: 10.7910/dvn/c7khmf/cuhud1
title: 26-1_0117.dcm
DOI: 10.7910/dvn/c7khmf/gq93ao
title: 26-1_0013.dcm
DOI: 10.7910/dvn/c7khmf/kk5c20
title: 26-5_0006.dcm
DOI: 10.7910/dvn/c7khmf/nxw7aj
title: 26-5_0211.dcm
DOI: 10.7910/dvn/c7khmf/p3llxa
title: 26-1_0145.dcm
DOI: 10.6073/pasta/04fe07d76ed7b1939858ce1887440988
title: Firescars with distance from major rivers in Interior Alaska  (1994-1999)

description: Buffers around major rivers in Alaska in 5 km bins to a maximum distance of 45 km overlaid with 1994 - 1999 firescars, clipped to Interior Alaska
DOI: 10.6073/pasta/49aad4f6026300340ebaea597fa7c626
title: Caribou Poker Creek Research Watershed GIS Data:  Reasearch Area Boundary (NAD83)

description: This is the perimeter boundary line around the Caribou - Poker Creek Research Watershed that has been packaged into an ArcGIS file.  Geospatial_Data_Presentation_Form: vector digital data.
DOI: 10.7910/dvn/c7khmf/1pyjeg
title: 26-1_0112.dcm
DOI: 10.7910/dvn/c7khmf/anj2zl
title: 26-5_0010.dcm
DOI: 10.7910/dvn/c7khmf/erogc8
title: 26-5_0128.dcm
DOI: 10.7910/dvn/c7khmf/fvvz5c
title: 26-1_0122.dcm
DOI: 10.7910/dvn/c7khmf/gntyyq
title: 26-5_0160.dcm
DOI: 10.7910/dvn/c7khmf/h2wgs3
title: 26-5_0046.dcm
DOI: 10.7910/dvn/c7khmf/idxm6e
title: 26-1_0132.dcm
DOI: 10.7910/dvn/c7khmf/m7pzfe
title: 26-1_0182.dcm
DOI: 10.7910/dvn/c7khmf/sgmifg
title: 26-1_0005.dcm
DOI: 10.7910/dvn/c7khmf/0du50o
title: 26-5_0112.dcm
DOI: 10.7910/dvn/c7khmf/ffbtkg
title: 26-1_0016.dcm
DOI: 10.7910/dvn/c7khmf/jrjpvu
title: 26-5_0246.dcm
DOI: 10.7910/dvn/c7khmf/m7irky
title: 26-1_0070.dcm
DOI: 10.7910/dvn/c7khmf/qz9ykt
title: 26-5_0007.dcm
DOI: 10.7910/dvn/c7khmf/t5rist
title: 26-5_0134.dcm
DOI: 10.7910/dvn/c7khmf/tfs2b9
title: 26-5_0201.dcm
DOI: 10.7910/dvn/c7khmf/wavadb
title: 26-5_0074.dcm
DOI: 10.7910/dvn/c7khmf/zaxhzr
title: 26-1_0108.dcm
DOI: 10.5281/zenodo.1479842
title: Dataset For Publication: 'Search Space Representation And Reduction Methods To Enhance Multi-Objective Water Supply Monitoring Design'

description: This is the dataset the publication "Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design" is based on.
DOI: 10.6073/pasta/3b6a9212b15ffb7c386bf91f955667b1
title: Statewide 2-km raster of number of fires within each 2-km pixel since 1942

description: This raster contains the count of wildfires from 1942-2010 within each  2-km cell  for the state of Alaska.  The raster matches SNAP statewide climate rasters in extent and cell size.  The geotiff raster is in the Alaska Albers NAD83 coordinate system as an unsigned 4-bit integer with valid pixel values ranging from 1 through 9 as the number of fires within each pixel from 1942 through 2010.
DOI: 10.6073/pasta/3e2b12eeed92f794c27f5560f544d7cc
title: Statewide 2-km raster of year since last widlfire

description: This raster contains the year since last burn from 1942-2010 at 2-km cell size for the state of Alaska.  The raster matches SNAP statewide climate rasters in extent and cell size. The geotiff raster is in the Alaska Albers NAD83 coordinate system as an unsigned 16-bit integer with valid pixel values ranging from 1942 through 2010.
DOI: 10.5281/zenodo.1479841
title: Dataset For Publication: 'Search Space Representation And Reduction Methods To Enhance Multi-Objective Water Supply Monitoring Design'

description: This is the dataset the publication "Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design" is based on.
DOI: 10.7910/dvn/hsxuve/uwns3l
title: SADC_CWR_priority_species_list-1.tab

description: Data
DOI: 10.6073/pasta/769734bf51777b728237a198041be1d6
title: Firescars with distance from major rivers in Interior Alaska (2000-2005)

description: Buffers around major rivers in Alaska in 5 km bins to a maximum distance of 45 km overlaid with 2000 - 2005 firescars, clipped to Interior Alaska
DOI: 10.5281/zenodo.1479854
title: Simulations Of Electron Energization And Injection By Bbfs Using High Resolution Lfm Mhd Fields

description: Dataset for "Simulations of electron energization and injection by BBFs using high resolution LFM MHD fields" submitted to JGR.
DOI: 10.5281/zenodo.1479855
title: Simulations Of Electron Energization And Injection By Bbfs Using High Resolution Lfm Mhd Fields

description: Dataset for "Simulations of electron energization and injection by BBFs using high resolution LFM MHD fields" submitted to JGR.
DOI: 10.6073/pasta/114f9cad8cba211f1cd0a4136ea66543
title: MODIS annual maximum NDVI for Tanana-Yukon Uplands Ecoregion from 2000-2012

description: This dataset contains maximum NDVI from the MODIS sensor onboard Aqua and Terra satellites. The NDVI has been filtered to contain only NDVI values exceeding 0.4 which typically represent vegetated pixels in the boreal region of Alaska. Scaling factor of 10,000 was applied to convert 4-byte floating point to 2-byte integer NDVI values (for example 0.4 to 40000,0.9 to 9000)
DOI: 10.6073/pasta/31811dc109183ea9779bd1ad787c62f3
title: Monitoring permafrost thaw in Denali National Park and Preserve: year one of data collection 2013

description: Transects were established at six sites in the Toklat river basin, Denali National Park and Preserve.  This was the fist year of what will be a long-term monitoring project of permafrost and ecosystem characteristics. Transects were co-located with known thaw subsidence (thermokarst) features and run from outside (relatively undisturbed tundra) through the feature.