cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/9argzn/aj59ve
title: Model_oc_62_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/df07ov
title: Model_oc_18_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/dfmivs
title: Model_ic_58_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/doy7zt
title: Model_oc_19_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ejxmhu
title: Model_oc_89_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/fty8xu
title: Model_oc_17_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/hkwx5i
title: Model_ic_25_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/hsbg8v
title: Model_ic_8_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/i25vyx
title: Model_oc_117_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/iebvla
title: Model_ic_16_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/ihrezd
title: Model_oc_39_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/j7uml3
title: Model_oc_2_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/jej7dp
title: Model_oc_67_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/k29rql
title: Model_oc_98_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/kqpble
title: Model_oc_154_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/lfkm66
title: Model_ic_32_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/myjjvj
title: Model_ic_19_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/nruijk
title: Model_oc_271_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/o1s00g
title: Model_oc_255_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ohsubk
title: Model_ic_25_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/okhakj
title: Model_oc_272_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/q6zw18
title: Model_oc_92_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/qs5fr4
title: Model_ic_51_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/rbc5fh
title: Model_oc_19_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/rlh4ed
title: Model_oc_95_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/swsbpp
title: Model_ic_18_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/uwzvpt
title: Model_oc_167_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/uy5mew
title: Model_oc_148_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/vfpyyd
title: Model_oc_98_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/vqkbh9
title: Model_ic_26_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/vrqlej
title: Model_oc_66_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/xt6lji
title: Model_ic_32_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/y0ccic
title: Model_oc_79_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/zg1lsj
title: Model_oc_28_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/zye2tr
title: Model_oc_34_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/1li3eu
title: Model_ic_52_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/3tsufb
title: Model_ic_48_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/42ps8z
title: Model_ic_9_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/50pt7c
title: Model_ic_57_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/57y43w
title: Model_ic_13_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/5gokow
title: build_TBL_V1.dat

description: :unav
DOI: 10.7910/dvn/9argzn/7gqtxi
title: Model_oc_10_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/96rnxk
title: Model_ic_57_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/9lwkcg
title: build_TBL_M&A.dat

description: :unav
DOI: 10.7910/dvn/9argzn/bztgln
title: Model_oc_95_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ccv6to
title: Model_oc_43_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/clqjgj
title: Model_oc_291_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/dedor9
title: Model_ic_2_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/dpssvk
title: Model_oc_74_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/dtkwth
title: Model_oc_92_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/duwwo4
title: Model_oc_102_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/e3qmjg
title: Model_oc_106_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/g1kuup
title: Model_oc_45_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/gkhwni
title: Model_oc_161_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/h88obi
title: Model_ic_41_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/hl8mak
title: Model_oc_43_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/i1oj0x
title: Model_oc_67_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/imi2uq
title: Model_oc_124_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/knoegk
title: Model_oc_66_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/kw0gbs
title: Model_oc_9_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/m4fmxw
title: Model_oc_58_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/m52a5b
title: Model_ic_4_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/nwrena
title: Model_oc_83_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ogtgcv
title: TEST1-data-v014.tab

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DOI: 10.7910/dvn/9argzn/pbaw7d
title: Model_ic_25_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/pjhbbv
title: FigureS1.jpg

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DOI: 10.7910/dvn/9argzn/q1rrdq
title: Model_ic_16_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/qdwlg3
title: Model_oc_98_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/r6ydxj
title: Model_oc_93_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/rajtew
title: Model_oc_138_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/rn4hox
title: Model_oc_201_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/swlnvy
title: Model_oc_66_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/vxuucv
title: Model_oc_113_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/wagyqj
title: Model_oc_297_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/wcjwil
title: Model_oc_78_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/wfmi0o
title: Model_oc_74_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/x4l5uj
title: Model_oc_20_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/xtm4ec
title: Model_ic_64_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/y1jysm
title: Model_ic_51_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/y1xuym
title: Model_ic_19_V3 (v0=1e14).tab

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DOI: 10.21227/wtb3-ej60
title: Intel Open Wi-Fi RTT Dataset

description: Dataset used for "A Machine Learning Approach for Wi-Fi RTT Ranging" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), ranging, positioning, navigation and other types of research in Wi-Fi indoor location. The zip file includes a README file, a CSV file with the dataset and several Matlab functions to help the user plot the data and demonstrate how to estimate the range. Please see the README file for more details.
DOI: 10.7910/dvn/9argzn/1tbvay
title: Model_ic_47_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/1tjazf
title: Model_oc_87_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/1uvwtt
title: Model_oc_170_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/1xaoki
title: Model_ic_29_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/2qbb9i
title: Model_ic_52_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/3uuesi
title: Model_oc_85_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/4lt8ok
title: Model_ic_50_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/52euws
title: Model_ic_3_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/929zmy
title: Model_oc_58_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/9ihqie
title: Model_ic_11_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/ap0lpo
title: build_TBL_V2.dat

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DOI: 10.7910/dvn/9argzn/clwin0
title: Model_oc_95_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/csknzg
title: TEST3-data-v013.tab

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DOI: 10.7910/dvn/9argzn/cxxjyh
title: FigureS4.jpg

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DOI: 10.7910/dvn/9argzn/eg1ygd
title: Model_oc_180_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/f3zjws
title: Model_oc_59_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/f3zmf3
title: Model_ic_25_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ffdotx
title: Model_oc_33_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/fkokvu
title: Model_oc_250_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/fomfef
title: Model_oc_92_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ho95cq
title: Model_oc_259_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/hql1j5
title: Model_oc_79_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/hqrimj
title: Model_oc_226_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ie1gfz
title: Model_oc_34_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/jvm2b1
title: Model_oc_66_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/jx6q5o
title: Model_ic_6_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/kcsa5p
title: Model_oc_68_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/kgvpqk
title: Model_ic_2_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/kpggfj
title: Model_oc_31_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/lj0rqt
title: Model_oc_96_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/lkbqxb
title: TBL_M&A.ps

description: :unav
DOI: 10.7910/dvn/9argzn/mluuup
title: Model_ic_4_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/nmpygg
title: FigureS3.jpg

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DOI: 10.7910/dvn/9argzn/puo8yz
title: Model_oc_35_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/rxe1cl
title: Model_ic_13_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/sje42z
title: FigureS2.jpg

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DOI: 10.7910/dvn/9argzn/t2v6mv
title: Model_oc_83_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/u8imtt
title: Model_oc_18_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/uneivh
title: Model_ic_41_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/uoulgx
title: Model_oc_109_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/w13ws9
title: Model_oc_35_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/wsdggf
title: build_TBL_V3.dat

description: :unav
DOI: 10.7910/dvn/9argzn/xn1hgg
title: Model_oc_87_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ykt053
title: Model_oc_78_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ym7xp0
title: Model_ic_4_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/zz0wfz
title: Model_oc_208_M&A (v0=1e14).tab

description: :unav
DOI: 10.5519/qd.gok6jwnl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22 records)
DOI: 10.5519/qd.lm8z5j52
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22 records)
DOI: 10.7910/dvn/9argzn/0sfqt8
title: Model_oc_94_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/1ipds4
title: Model_oc_288_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/21xngt
title: Model_oc_108_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/2d7c4l
title: TEST3-data-v012.tab

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DOI: 10.7910/dvn/9argzn/2qmukt
title: Model_oc_87_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/3rbcmn
title: Model_oc_98_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/5nab6x
title: Model_ic_20_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/8iutji
title: Model_oc_261_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/8rlkc8
title: Venus_mantle_V3.dat

description: :unav
DOI: 10.7910/dvn/9argzn/a9litp
title: Model_ic_29_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/a9wuqb
title: TBL_V1.ps

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DOI: 10.7910/dvn/9argzn/akvd4i
title: Model_oc_99_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/am7dng
title: Model_ic_11_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/cnzuh5
title: Model_ic_51_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/cqxohz
title: Model_ic_2_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/dlpoon
title: Model_oc_87_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/drmovh
title: Venus_lowermantle_M&A.dat

description: :unav
DOI: 10.7910/dvn/9argzn/dvnulj
title: Model_ic_15_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ex6smr
title: Model_ic_41_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/f5rl0t
title: Model_oc_14_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/fkfoex
title: Model_oc_31_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/fmkt7e
title: Model_oc_113_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/gs6l4a
title: Venus_mantle_M&A.dat

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DOI: 10.7910/dvn/9argzn/hpjw2k
title: Model_oc_10_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/iuy5pv
title: Model_oc_263_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/jquftw
title: Model_ic_23_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/kvzpog
title: Model_oc_61_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/l7xct7
title: Model_oc_39_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/li3bn8
title: Model_oc_38_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/msawmx
title: TBL_V3.ps

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DOI: 10.7910/dvn/9argzn/mxp10f
title: Model_ic_63_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/nczgcy
title: Model_ic_39_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/oktmiw
title: Model_oc_55_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ox9ocw
title: Model_ic_28_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/psoxjz
title: Model_oc_33_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/q6tf83
title: TEST2-data.tab

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DOI: 10.7910/dvn/9argzn/qr2lxi
title: Model_oc_80_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/rzdiqt
title: Model_ic_42_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/tjw5ad
title: Model_oc_35_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/tru5yk
title: Model_oc_203_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ugaxjg
title: Model_oc_50_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/wwazww
title: Model_oc_12_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/xcfndv
title: Venus_mantle_V2.dat

description: :unav
DOI: 10.7910/dvn/9argzn/yeicki
title: Model_oc_102_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/yeq5qh
title: Model_oc_168_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/yk4k1z
title: Model_oc_15_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/ykhyvq
title: TBL_V2.ps

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DOI: 10.7910/dvn/9argzn/zh7xzg
title: Venus_mantle_V1.dat

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DOI: 10.5281/zenodo.3885609
title: Numerical data and post-processing material

description: Source data and post-processing scripts iso_acetone contains:<br> x,y,z subdirectories of the individual x-y-z-boost calculations.<br> Data and post-processing instructons for the<br> absorption spectrum of isolated acetone molecule emb_acetone contains:<br> data/x,data/y,data/z subdirectories of the individual x-y-z-boost calculations.<br> Data and post-processing instructons for the<br> absorption spectrum of embedded acetone molecule in the water cluster. w_in_w_source contains:<br> iso,w1_iter,w2_iter,w3_iter_w4_iter,w5_iter<br> subdirectories of z-boost calculations for isolated water<br> and embedded water (1 up to 5 embedding water molecules)<br> Data and post-processing instruction to obtain spectra. comp_constraints contains:<br> Fig7 and Fig8 data and post-processing instructions<br> to obtain Figs. 7 and 8 of Section 4.5
DOI: 10.7910/dvn/9argzn/0qfv0b
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DOI: 10.7910/dvn/9argzn/2vlmr2
title: Model_oc_45_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/36imu3
title: Model_ic_56_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/3gyl2u
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DOI: 10.7910/dvn/9argzn/4fedv4
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DOI: 10.7910/dvn/9argzn/atdl8r
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DOI: 10.7910/dvn/9argzn/cb27vk
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DOI: 10.7910/dvn/9argzn/ccjyjb
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DOI: 10.7910/dvn/9argzn/cevbra
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DOI: 10.7910/dvn/9argzn/dhqqrl
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DOI: 10.7910/dvn/9argzn/eofxiu
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DOI: 10.7910/dvn/9argzn/ex32j6
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DOI: 10.7910/dvn/9argzn/fh0xeq
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DOI: 10.7910/dvn/9argzn/frcbkq
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DOI: 10.7910/dvn/9argzn/i6wmjb
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DOI: 10.7910/dvn/9argzn/iccsts
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DOI: 10.7910/dvn/9argzn/kj6c7x
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DOI: 10.7910/dvn/9argzn/kzxwbg
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DOI: 10.7910/dvn/9argzn/mfyzcp
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DOI: 10.7910/dvn/9argzn/n2lhvq
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DOI: 10.7910/dvn/9argzn/oficfe
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title: Model_oc_168_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/larjnd
title: Model_oc_51_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/o0nv7g
title: Model_oc_2_M&A (v0=1e13).tab

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DOI: 10.7910/dvn/9argzn/ogqnhj
title: Model_oc_35_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/oiwbpp
title: Model_oc_76_V1 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/oopwvh
title: Model_oc_11_V1 (v0=1e14).tab

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title: Model_oc_76_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/scy0rp
title: Model_oc_64_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/t9ug3e
title: Model_oc_295_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/tr65mi
title: Model_ic_5_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/v1rbcn
title: Model_oc_238_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/wi8pbt
title: Model_oc_15_M&A (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/xclugo
title: Model_ic_43_M&A (v0=1e12).tab

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DOI: 10.7910/dvn/9argzn/xrmbi3
title: Model_oc_19_V3 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/xwienl
title: Model_oc_213_V2 (v0=1e14).tab

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DOI: 10.7910/dvn/9argzn/yxqsv2
title: Model_oc_182_V2 (v0=1e14).tab

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DOI: 10.21227/rccs-mf91
title: Intel Open Wi-Fi RTT Dataset

description: Dataset used for "A Machine Learning Approach for Wi-Fi RTT Ranging" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), ranging, positioning, navigation and other types of research in Wi-Fi indoor location. The zip file includes a README file, a CSV file with the dataset and several Matlab functions to help the user plot the data and demonstrate how to estimate the range. Please see the README file for more details.
DOI: 10.5281/zenodo.3885346
title: Annual and seasonal carbon gas dynamics in the land–aquatic–atmosphere continuum of a boreal landscape

description: Dataset from the submitted manuscript Miettinen H, Pumpanen J, Rantakari M, Heiskanen J and Ojala A: Annual and seasonal carbon gas dynamics in the land–aquatic–atmosphere continuum of a boreal landscape.