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authorjules@lens <julescarbon@gmail.com>2019-02-20 18:36:25 +0100
committerjules@lens <julescarbon@gmail.com>2019-02-20 18:36:25 +0100
commit2116027843edad22d87e6a56269b26cd6aafb8e8 (patch)
treeae15c70898a3ee28668a154ccdc1e600af51834c /site/datasets/citations/mr2.json
parent1ef0b07c0bbd779f3ab9b618a0edb768b927816e (diff)
updating all reports
Diffstat (limited to 'site/datasets/citations/mr2.json')
-rw-r--r--site/datasets/citations/mr2.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/mr2.json b/site/datasets/citations/mr2.json
index 1bac9acf..dac4079a 100644
--- a/site/datasets/citations/mr2.json
+++ b/site/datasets/citations/mr2.json
@@ -1 +1 @@
-{"id": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "paper": {"paperId": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "key": "mr2", "title": "The MR2: A multi-racial, mega-resolution database of facial stimuli.", "journal": "Behavior research methods", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://pdfs.semanticscholar.org/be5b/455abd379240460d022a0e246615b0b86c14.pdf", "report_link": "papers/578d4ad74818086bb64f182f72e2c8bd31e3d426.html", "citation_count": 7, "citations_geocoded": 1, "citations_unknown": 6, "citations_empty": 0, "citations_pdf": 7, "citations_doi": 0, "name": "MR2"}, "address": null, "citations": [["High Quality Bidirectional Generative Adversarial Networks", "", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "2018"]]} \ No newline at end of file
+{"id": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "paper": {"paperId": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "key": "mr2", "title": "The MR2: A multi-racial, mega-resolution database of facial stimuli.", "journal": "Behavior research methods", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://pdfs.semanticscholar.org/be5b/455abd379240460d022a0e246615b0b86c14.pdf", "report_link": "papers/578d4ad74818086bb64f182f72e2c8bd31e3d426.html", "citation_count": 7, "citations_geocoded": 1, "citations_unknown": 6, "citations_empty": 0, "citations_pdf": 7, "citations_doi": 0, "name": "MR2"}, "address": null, "citations": [["High Quality Bidirectional Generative Adversarial Networks", "", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "South Korea", "2018"]]} \ No newline at end of file