cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/v1rjpf/2wayra
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DOI: 10.7910/dvn/v1rjpf/dgflsr
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DOI: 10.7910/dvn/v1rjpf/wpo4bd
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DOI: 10.7910/dvn/v1rjpf/xxcctu
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DOI: 10.7910/dvn/v1rjpf/zoxact
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DOI: 10.7910/dvn/v1rjpf/jikboa
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DOI: 10.7910/dvn/v1rjpf/idyaon
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DOI: 10.7910/dvn/v1rjpf/mbudft
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DOI: 10.7910/dvn/v1rjpf/5h4ajb
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DOI: 10.7910/dvn/v1rjpf/cc3se5
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DOI: 10.7910/dvn/v1rjpf/usgoyw
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DOI: 10.7910/dvn/v1rjpf/q7nwox
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DOI: 10.7910/dvn/v1rjpf/vzhdda
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DOI: 10.7910/dvn/v1rjpf/wepcr6
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DOI: 10.7910/dvn/v1rjpf/xnx8ys
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DOI: 10.7910/dvn/v1rjpf/tb4rhd
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DOI: 10.7910/dvn/v1rjpf/nxsc8q
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DOI: 10.7910/dvn/v1rjpf/qk1smp
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DOI: 10.7910/dvn/v1rjpf/7uhadg
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DOI: 10.7910/dvn/v1rjpf/2yaote
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DOI: 10.7910/dvn/v1rjpf/ahcspo
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DOI: 10.7910/dvn/v1rjpf/sxxiaz
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DOI: 10.7910/dvn/v1rjpf/2wlfz7
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DOI: 10.7910/dvn/v1rjpf/mpv8mz
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DOI: 10.7910/dvn/v1rjpf/socm36
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DOI: 10.7910/dvn/v1rjpf/qqkgpq
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DOI: 10.7910/dvn/v1rjpf/6znfcb
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DOI: 10.7910/dvn/v1rjpf/dxqpwv
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DOI: 10.7910/dvn/v1rjpf/aqtwzc
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DOI: 10.7910/dvn/v1rjpf/xv9kqd
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DOI: 10.7910/dvn/v1rjpf/3ulvqv
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DOI: 10.7910/dvn/v1rjpf/z0dyor
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DOI: 10.7910/dvn/v1rjpf/ttcujs
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DOI: 10.7910/dvn/v1rjpf/w7lzbi
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DOI: 10.7910/dvn/v1rjpf/pm5ijt
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DOI: 10.7910/dvn/v1rjpf/xwiqb3
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DOI: 10.7910/dvn/v1rjpf/vlafg3
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DOI: 10.7910/dvn/v1rjpf/ouisia
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DOI: 10.7910/dvn/v1rjpf/br9c3e
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DOI: 10.7910/dvn/v1rjpf/w3a6qe
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DOI: 10.5281/zenodo.3908196
title: Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets)

description: This dataset contains all the runs, pools, plots and analyses to reproduce the results presented in the paper: "Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval ", 2020.
DOI: 10.5281/zenodo.3908195
title: Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets)

description: This dataset contains all the runs, pools, plots and analyses to reproduce the results presented in the paper: "Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval ", 2020.
DOI: 10.7910/dvn/v1rjpf/nxn3jk
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DOI: 10.7910/dvn/v1rjpf/d7amm7
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DOI: 10.7910/dvn/v1rjpf/ohcvvw
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DOI: 10.7910/dvn/v1rjpf/ljaeti
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DOI: 10.7910/dvn/v1rjpf/oknykq
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DOI: 10.7910/dvn/v1rjpf/wbtujn
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DOI: 10.7910/dvn/v1rjpf/1iykuk
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DOI: 10.7910/dvn/v1rjpf/fdlluy
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DOI: 10.7910/dvn/v1rjpf/gq1rdi
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DOI: 10.7910/dvn/v1rjpf/nnykn8
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DOI: 10.7910/dvn/v1rjpf/vzacct
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DOI: 10.7910/dvn/v1rjpf/ba2plx
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DOI: 10.7910/dvn/v1rjpf/tm9gou
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DOI: 10.7910/dvn/v1rjpf/fx53xq
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DOI: 10.7910/dvn/v1rjpf/a8bm73
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DOI: 10.7910/dvn/v1rjpf/o9qbhz
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DOI: 10.7910/dvn/v1rjpf/7dgp0h
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DOI: 10.7910/dvn/v1rjpf/sq2wwt
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DOI: 10.7910/dvn/v1rjpf/sobuuc
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DOI: 10.7910/dvn/v1rjpf/bqntza
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DOI: 10.5281/zenodo.3908190
title: CAsoft Example - Precision resistors - Global risk

description: Template file for CASoft software (Link for CASoft download), filled in with data from JCGM106:2012, Section 0.5.3.2 Example 1
description: The EMPIR initiative is co-funded by the European Union's Horizon 2020 research and innovation program and the EMPIR Participating States (17SIP05 CASoft)
DOI: 10.7910/dvn/v1rjpf/v20l4g
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DOI: 10.5281/zenodo.3908189
title: CAsoft Example - Precision resistors - Global risk

description: Template file for CASoft software (Link for CASoft download), filled in with data from JCGM106:2012, Section 0.5.3.2 Example 1
description: The EMPIR initiative is co-funded by the European Union's Horizon 2020 research and innovation program and the EMPIR Participating States (17SIP05 CASoft)
DOI: 10.7910/dvn/v1rjpf/7cvbwt
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DOI: 10.7910/dvn/v1rjpf/fhhskt
title: blc20150526_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/omrxtd
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DOI: 10.7910/dvn/v1rjpf/s4ecvr
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DOI: 10.7910/dvn/v1rjpf/wkfsav
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DOI: 10.7910/dvn/v1rjpf/qfhzou
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DOI: 10.7910/dvn/v1rjpf/k4w1tl
title: blc20150107_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/7q839f
title: blc20151005_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/f5s7el
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DOI: 10.7910/dvn/v1rjpf/ohgpvc
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DOI: 10.7910/dvn/v1rjpf/io65rx
title: blc20150429_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/ehv2m4
title: blc20151215_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/xvfutm
title: blc20150805_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/0xchyr
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DOI: 10.7910/dvn/v1rjpf/pshesx
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DOI: 10.7910/dvn/v1rjpf/9d1hne
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DOI: 10.7910/dvn/v1rjpf/uzjgcq
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DOI: 10.5281/zenodo.3908186
title: German Traffic Sign Detection Benchmark (resized to 128x128)

description: German Traffic Sign Detection Benchmark Dataset All images resized to 128x128 Split in Training and Test datasets according to source Original data available under: http://benchmark.ini.rub.de/?section=gtsrb
DOI: 10.7910/dvn/v1rjpf/e8phax
title: blc20150324_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/roizas
title: blc20150516_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/f0shk6
title: blc20150828_03.txt.gz

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title: blc20150517_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/itvnqh
title: blc20151006_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/eyv7qe
title: blc20150610_03.txt.gz

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title: blc20151119_03.txt.gz

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title: blc20150103_03.txt.gz

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title: blc20150831_03.txt.gz

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title: blc20150609_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/frdtdk
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DOI: 10.7910/dvn/v1rjpf/caoib4
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DOI: 10.21227/a3qr-s393
title: Urban Semantic 3D Dataset

description: This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and Omaha, Nebraska with new geographic tiles from Atlanta, Georgia.DFC19: https://ieee-dataport.org/open-access/data-fusion-contest-2019-dfc2019Our CVPR20 paper on geocentric pose: http://openaccess.thecvf.com/content_CVPR_2020/papers/Christie_Learning_Geocentric_Object_Pose_in_Oblique_Monocular_Images_CVPR_2020_paper.pdf
DOI: 10.7910/dvn/v1rjpf/jw1vzw
title: blc20150514_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/pa9qax
title: blc20151101_03.txt.gz

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title: blc20150326_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/wic6ez
title: blc20151221_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/e7irej
title: blc20150415_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/yikot4
title: blc20151116_03.txt.gz

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DOI: 10.7910/dvn/v1rjpf/ex7gqm
title: blc20150405_03.txt.gz

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