diff --git a/.travis.yml b/.travis.yml
index d4709b6..066e607 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,10 +1,10 @@
-language: ruby
-rvm:
-  - 2.2
-before_script:
-  - gem install awesome_bot
-script:
-  - site404=www.datawrangling.com,getglue-data.s3.amazonaws.com,archive.org/details/2011-05-calufa-twitter-sql,www.stats4stem.org,lib.stat.cmu.edu,http://www.oecd.org/document/0,census.gov/acs/www/data_documentation/data_release_info/
-  - whtlist=travis,crawdad.cs.dartmouth.edu,data.nasdaq.com,137.189.35.203/WebUI/CatDatabase/catData.html,numbrary.com,www.cmr.osu.edu,gutenberg.org,donnees.gouv.qc.ca,data.rio.rj.gov.br,ntrl.ntis.gov,openflights.org,www.data.gov.bc.ca,earthdata.nasa,pgp-hms,cru.uea.ac.uk,networkdata.ics,datos.argentina,data.gov.ie,isi.edu,data.go.id,wiki.dbpedia,www.laval.ca,www.wunderground.com,data.lexingtonky.gov,arcgis,bixi
-  - site503=datamob.org,research.microsoft.com
-  - awesome_bot README.rst --allow-dupe --allow-redirect --set-timeout 5 --allow-timeout --white-list $site404,$whtlist,$site503 
+# language: ruby
+# rvm:
+#   - 2.2
+# before_script:
+#   - gem install awesome_bot
+# script:
+#   - site404=www.datawrangling.com,getglue-data.s3.amazonaws.com,archive.org/details/2011-05-calufa-twitter-sql,www.stats4stem.org,lib.stat.cmu.edu,http://www.oecd.org/document/0,census.gov/acs/www/data_documentation/data_release_info/
+#   - whtlist=travis,crawdad.cs.dartmouth.edu,data.nasdaq.com,137.189.35.203/WebUI/CatDatabase/catData.html,numbrary.com,www.cmr.osu.edu,gutenberg.org,donnees.gouv.qc.ca,data.rio.rj.gov.br,ntrl.ntis.gov,openflights.org,www.data.gov.bc.ca,earthdata.nasa,pgp-hms,cru.uea.ac.uk,networkdata.ics,datos.argentina,data.gov.ie,isi.edu,data.go.id,wiki.dbpedia,www.laval.ca,www.wunderground.com,data.lexingtonky.gov,arcgis,bixi
+#   - site503=datamob.org,research.microsoft.com
+#   - awesome_bot README.rst --allow-dupe --allow-redirect --set-timeout 5 --allow-timeout --white-list $site404,$whtlist,$site503 
diff --git a/Government.rst b/Government.rst
index 26555da..db7f229 100644
--- a/Government.rst
+++ b/Government.rst
@@ -85,6 +85,7 @@ Government
 * `Texas Open Data <https://data.texas.gov/>`_
 * `The World Bank <http://wdronline.worldbank.org/>`_
 * `Toronto, ON, Canada <http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=1a66e03bb8d1e310VgnVCM10000071d60f89RCRD>`_
+* `Tunisia <http://www.data.gov.tn/>`_
 * `U.K. Government Data <http://data.gov.uk/data>`_
 * `U.S. American Community Survey <http://www.census.gov/acs/www/data_documentation/data_release_info/>`_
 * `U.S. CDC Public Health datasets <http://www.cdc.gov/nchs/data_access/ftp_data.htm>`_
@@ -100,4 +101,4 @@ Government
 * `Uruguay <https://catalogodatos.gub.uy/>`_
 * `Vancouver, BC Open Data Catalog <http://data.vancouver.ca/datacatalogue/>`_
 * `Victoria, BC, Canada <http://www.victoria.ca/EN/main/city/open-data-catalogue.html>`_
-* `Vienna, Austria <https://open.wien.gv.at/site/open-data/>`_
\ No newline at end of file
+* `Vienna, Austria <https://open.wien.gv.at/site/open-data/>`_
diff --git a/README.rst b/README.rst
index 0ee6b95..80ff418 100755
--- a/README.rst
+++ b/README.rst
@@ -3,8 +3,6 @@ Awesome Public Datasets
 .. image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg
    :alt: Awesome
    :target: https://github.com/sindresorhus/awesome
-.. image:: https://travis-ci.org/caesar0301/awesome-public-datasets.svg
-   :target: https://travis-ci.org/caesar0301/awesome-public-datasets
 
 `This list of public data sources <https://github.com/caesar0301/awesome-public-datasets>`_
 are collected and tidied from blogs, answers, and user responses.
@@ -29,7 +27,6 @@ Biology
 * `Broad Cancer Cell Line Encyclopedia (CCLE) <http://www.broadinstitute.org/ccle/home>`_
 * `Broad Bioimage Benchmark Collection (BBBC) <https://www.broadinstitute.org/bbbc>`_
 * `Cell Image Library <http://www.cellimagelibrary.org>`_
-* `Collaborative Research in Computational Neuroscience (CRCNS) <http://crcns.org/data-sets>`_
 * `Complete Genomics Public Data <http://www.completegenomics.com/public-data/69-genomes/>`_
 * `EBI ArrayExpress <http://www.ebi.ac.uk/arrayexpress/>`_
 * `EBI Protein Data Bank in Europe <http://www.ebi.ac.uk/pdbe/emdb/index.html/>`_
@@ -48,8 +45,7 @@ Biology
 * `MIT Cancer Genomics Data <http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi>`_
 * `NCBI Proteins <http://www.ncbi.nlm.nih.gov/guide/proteins/#databases>`_
 * `NCBI Taxonomy <http://www.ncbi.nlm.nih.gov/taxonomy>`_
-* `NeuroData <http://neurodata.io>`_
-* `NIH Microarray data <http://bit.do/VVW6>`_ or `FTP <ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE6532/>`_
+* `NIH Microarray data <http://bit.do/VVW6>`_ or `FTP <ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE6532/>`_ (see FTP link on `RAW <https://raw.githubusercontent.com/caesar0301/awesome-public-datasets/master/README.rst>`_)
 * `OpenSNP genotypes data <https://opensnp.org/>`_
 * `Pathguid - Protein-Protein Interactions Catalog <http://www.pathguide.org/>`_
 * `Protein Data Bank <http://www.rcsb.org/>`_
@@ -62,7 +58,6 @@ Biology
 * `Stanford Microarray Data <http://smd.stanford.edu/>`_
 * `Stowers Institute Original Data Repository <http://www.stowers.org/research/publications/odr>`_
 * `Systems Science of Biological Dynamics (SSBD) Database <http://ssbd.qbic.riken.jp>`_
-* `Temple University Hospital EEG Database <https://www.nedcdata.org/drupal/node/12>`_
 * `The Cancer Genome Atlas (TCGA), available via Broad GDAC <https://gdac.broadinstitute.org/>`_
 * `The Catalogue of Life <http://www.catalogueoflife.org/content/annual-checklist-archive>`_
 * `The Personal Genome Project <http://www.personalgenomes.org/>`_ or `PGP <https://my.pgp-hms.org/public_genetic_data>`_
@@ -75,6 +70,7 @@ Climate/Weather
 ---------------
 
 * `Australian Weather <http://www.bom.gov.au/climate/dwo/>`_
+* `Aviation Weather Center - Consistent, timely and accurate weather information for the world airspace system <https://aviationweather.gov/adds/dataserver>`_
 * `Brazilian Weather - Historical data (In Portuguese) <http://sinda.crn2.inpe.br/PCD/SITE/novo/site/>`_
 * `Canadian Meteorological Centre <http://weather.gc.ca/grib/index_e.html>`_
 * `Climate Data from UEA (updated monthly) <https://crudata.uea.ac.uk/cru/data/temperature/#datter and ftp://ftp.cmdl.noaa.gov/>`_
@@ -126,8 +122,9 @@ Computer Networks
 * `CommonCrawl Web Data over 7 years <http://commoncrawl.org/the-data/get-started/>`_
 * `CRAWDAD Wireless datasets from Dartmouth Univ. <https://crawdad.cs.dartmouth.edu/>`_
 * `Criteo click-through data <http://labs.criteo.com/2015/03/criteo-releases-its-new-dataset/>`_
+* `OONI: Open Observatory of Network Interference - Internet censorship data <https://ooni.torproject.org/data/>`_
 * `Open Mobile Data by MobiPerf <https://console.developers.google.com/storage/openmobiledata_public/>`_
-* `Rapid7 Sonar Internet Scans <https://sonar.labs.rapid7.com/>`_ 
+* `Rapid7 Sonar Internet Scans <https://sonar.labs.rapid7.com/>`_
 * `UCSD Network Telescope, IPv4 /8 net <http://www.caida.org/projects/network_telescope/>`_
 
 
@@ -148,19 +145,35 @@ Data Challenges
 * `Kaggle Competition Data <https://www.kaggle.com/>`_
 * `KDD Cup by Tencent 2012 <http://www.kddcup2012.org/>`_
 * `Localytics Data Visualization Challenge <https://github.com/localytics/data-viz-challenge>`_
-* `Netflix Prize <http://www.netflixprize.com/leaderboard>`_
+* `Netflix Prize <http://netflixprize.com/leaderboard.html>`_
 * `Space Apps Challenge <https://2015.spaceappschallenge.org>`_
 * `Telecom Italia Big Data Challenge <https://dandelion.eu/datamine/open-big-data/>`_
 * `Yelp Dataset Challenge <http://www.yelp.com/dataset_challenge>`_
 * `Bruteforce Database <https://github.com/duyetdev/bruteforce-database>`_
+* `TravisTorrent Dataset - MSR'2017 Mining Challenge <https://travistorrent.testroots.org/>`_
+
+
+Earth Science
+-------------
+
+* `AQUASTAT - Global water resources and uses <http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en>`_
+* `BODC - marine data of ~22K vars <http://www.bodc.ac.uk/data/where_to_find_data/>`_
+* `Earth Models <http://www.earthmodels.org/>`_
+* `EOSDIS - NASA's earth observing system data <http://sedac.ciesin.columbia.edu/data/sets/browse>`_
+* `Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements <https://imos.aodn.org.au>`_ or `on S3 <http://imos-data.s3-website-ap-southeast-2.amazonaws.com/>`_
+* `Marinexplore - Open Oceanographic Data <http://marinexplore.org/>`_
+* `Smithsonian Institution Global Volcano and Eruption Database <http://volcano.si.edu/>`_
+* `USGS Earthquake Archives <http://earthquake.usgs.gov/earthquakes/search/>`_
+
 
 Economics
 ---------
 
-* `American Economic Ass (AEA) <https://www.aeaweb.org/RFE/toc.php?show=complete>`_
+* `American Economic Association (AEA) <https://www.aeaweb.org/resources/data>`_
 * `EconData from UMD <http://inforumweb.umd.edu/econdata/econdata.html>`_
 * `Economic Freedom of the World Data <http://www.freetheworld.com/datasets_efw.html>`_
 * `Historical MacroEconomc Statistics <http://www.historicalstatistics.org/>`_
+* `International Economics Database <http://widukind.cepremap.org/>`_ and `various data tools <https://github.com/Widukind>`_
 * `International Trade Statistics <http://www.econostatistics.co.za/>`_
 * `Internet Product Code Database <http://www.upcdatabase.com/>`_
 * `Joint External Debt Data Hub <http://www.jedh.org/>`_
@@ -188,13 +201,18 @@ Energy
 * `BLUEd <http://nilm.cmubi.org/>`_
 * `COMBED <http://combed.github.io/>`_
 * `Dataport <https://dataport.pecanstreet.org/>`_
+* `DRED <http://www.st.ewi.tudelft.nl/~akshay/dred/>`_
 * `ECO <http://www.vs.inf.ethz.ch/res/show.html?what=eco-data>`_
 * `EIA <http://www.eia.gov/electricity/data/eia923/>`_
+* `HES <http://randd.defra.gov.uk/Default.aspx?Menu=Menu&Module=More&Location=None&ProjectID=17359&FromSearch=Y&Publisher=1&SearchText=EV0702&SortString=ProjectCode&SortOrder=Asc&Paging=10#Description>`_ - Household Electricity Study, UK
 * `HFED <http://hfed.github.io/>`_
 * `iAWE <http://iawe.github.io/>`_
-* `Plaid <http://plaidplug.com/>`_
+* `PLAID <http://plaidplug.com/>`_ - the Plug Load Appliance Identification Dataset
 * `REDD <http://redd.csail.mit.edu/>`_
-* `UK-Dale <http://www.doc.ic.ac.uk/~dk3810/data/>`_
+* `Tracebase <https://www.tracebase.org>`_
+* `UK-DALE <http://www.doc.ic.ac.uk/~dk3810/data/>`_ - UK Domestic Appliance-Level Electricity
+* `WHITED <http://nilmworkshop.org/2016/proceedings/Poster_ID18.pdf>`_
+
 
 
 Finance
@@ -209,23 +227,13 @@ Finance
 * `Quandl <https://www.quandl.com/>`_
 * `St Louis Federal <https://research.stlouisfed.org/fred2/>`_
 * `Yahoo Finance <http://finance.yahoo.com/>`_
-* `NYSE Market Data <ftp://ftp.nyxdata.com>`_
+* `NYSE Market Data <ftp://ftp.nyxdata.com>`_ (see FTP link on `RAW <https://raw.githubusercontent.com/caesar0301/awesome-public-datasets/master/README.rst>`_)
 
 
-Geology
--------
+GIS
+---
 
-* `Earth Models <http://www.earthmodels.org/>`_
-* `Smithsonian Institution Global Volcano and Eruption Database <http://volcano.si.edu/>`_
-* `USGS Earthquake Archives <http://earthquake.usgs.gov/earthquakes/search/>`_
-
-
-GIS/Environment
----------------
-
-* `BODC - marine data of ~22K vars <http://www.bodc.ac.uk/data/where_to_find_data/>`_
 * `Cambridge, MA, US, GIS data on GitHub <http://cambridgegis.github.io/gisdata.html>`_
-* `EOSDIS - NASA's earth observing system data <http://sedac.ciesin.columbia.edu/data/sets/browse>`_
 * `Factual Global Location Data <https://www.factual.com/>`_
 * `Geo Spatial Data from ASU <http://geodacenter.asu.edu/datalist/>`_
 * `Geo Wiki Project - Citizen-driven Environmental Monitoring <http://geo-wiki.org/>`_
@@ -233,11 +241,8 @@ GIS/Environment
 * `GeoNames Worldwide <http://www.geonames.org/>`_
 * `Global Administrative Areas Database (GADM) <http://www.gadm.org/>`_
 * `Homeland Infrastructure Foundation-Level Data <https://hifld-dhs-gii.opendata.arcgis.com/>`_
-* `Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements <https://imos.aodn.org.au>`_ or `on S3 <http://imos-data.s3-website-ap-southeast-2.amazonaws.com/>`_
-* `International Institute for Systems Analysis - GIS Datasets <http://www.iiasa.ac.at/web/home/research/modelsData/Models--Tools--Data.en.html>`_
 * `Landsat 8 on AWS <https://aws.amazon.com/public-data-sets/landsat/>`_
 * `List of all countries in all languages <https://github.com/umpirsky/country-list>`_
-* `Marinexplore - Open Oceanographic Data <http://marinexplore.org/>`_
 * `National Weather Service GIS Data Portal <http://www.nws.noaa.gov/gis/>`_
 * `Natural Earth - vectors and rasters of the world <http://www.naturalearthdata.com/>`_
 * `OpenAddresses <http://openaddresses.io/>`_
@@ -251,6 +256,7 @@ GIS/Environment
 * `World boundaries from  the U.S. Department of State <https://hiu.state.gov/data/data.aspx>`_
 * `World countries in multiple formats <https://github.com/mledoze/countries>`_
 
+
 Government
 ----------
 
@@ -269,7 +275,7 @@ Healthcare
 * `MeSH, the vocabulary thesaurus used for indexing articles for PubMed <https://www.nlm.nih.gov/mesh/filelist.html>`_
 * `Number of Ebola Cases and Deaths in Affected Countries (2014) <https://data.hdx.rwlabs.org/dataset/ebola-cases-2014>`_
 * `Open-ODS (structure of the UK NHS) <http://www.openods.co.uk>`_
-* `OpenPaymentsData, Healthcare financial relationship data <https://openpaymentsdata.cms.gov>`_ 
+* `OpenPaymentsData, Healthcare financial relationship data <https://openpaymentsdata.cms.gov>`_
 * `The Cancer Genome Atlas project (TCGA) <https://tcga-data.nci.nih.gov/tcga/tcgaDownload.jsp>`_ and `BigQuery table <http://google-genomics.readthedocs.org/en/latest/use_cases/discover_public_data/isb_cgc_data.html>`_
 * `World Health Organization Global Health Observatory <http://www.who.int/gho/en/>`_
 
@@ -281,11 +287,13 @@ Image Processing
 * `2GB of Photos of Cats <http://137.189.35.203/WebUI/CatDatabase/catData.html>`_ or `Archive version <https://web.archive.org/web/20150520175645/http://137.189.35.203/WebUI/CatDatabase/catData.html>`_
 * `Affective Image Classification <http://www.imageemotion.org/>`_
 * `Animals with attributes <http://attributes.kyb.tuebingen.mpg.de/>`_
+* `Chars74K dataset, Character Recognition in Natural Images (both English and Kannada are available) <http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/>`_
 * `Face Recognition Benchmark <http://www.face-rec.org/databases/>`_
 * `ImageNet (in WordNet hierarchy) <http://www.image-net.org/>`_
 * `Indoor Scene Recognition <http://web.mit.edu/torralba/www/indoor.html>`_
 * `International Affective Picture System, UFL <http://csea.phhp.ufl.edu/media/iapsmessage.html>`_
 * `Massive Visual Memory Stimuli, MIT <http://cvcl.mit.edu/MM/stimuli.html>`_
+* `MNIST database of handwritten digits, near 1 million examples <http://yann.lecun.com/exdb/mnist/>`_
 * `Several Shape-from-Silhouette Datasets <http://kaiwolf.no-ip.org/3d-model-repository.html>`_
 * `Stanford Dogs Dataset <http://vision.stanford.edu/aditya86/ImageNetDogs/>`_
 * `SUN database, MIT <http://groups.csail.mit.edu/vision/SUN/hierarchy.html>`_
@@ -308,6 +316,7 @@ Machine Learning
 * `Machine Learning Data Set Repository <http://mldata.org/>`_
 * `Million Song Dataset <http://labrosa.ee.columbia.edu/millionsong/>`_
 * `More Song Datasets <http://labrosa.ee.columbia.edu/millionsong/pages/additional-datasets>`_
+* `New Yorker caption contest ratings <https://github.com/nextml/caption-contest-data>`_
 * `MovieLens Data Sets <http://grouplens.org/datasets/movielens/>`_
 * `RDataMining - "R and Data Mining" ebook data <http://www.rdatamining.com/data>`_
 * `Registered Meteorites on Earth <http://healthintelligence.drupalgardens.com/content/registered-meteorites-has-impacted-earth-visualized>`_
@@ -339,18 +348,43 @@ Natural Language
 * `Flickr Personal Taxonomies <http://www.isi.edu/~lerman/downloads/flickr/flickr_taxonomies.html>`_
 * `Freebase.com of people, places, and things <http://www.freebase.com/>`_
 * `Google Books Ngrams (2.2TB) <https://aws.amazon.com/datasets/google-books-ngrams/>`_
+* `Google MC-AFP, generated based on the public available Gigaword dataset using Paragraph Vectors <https://github.com/google/mcafp>`_
 * `Google Web 5gram (1TB, 2006) <https://catalog.ldc.upenn.edu/LDC2006T13>`_
 * `Gutenberg eBooks List <http://www.gutenberg.org/wiki/Gutenberg:Offline_Catalogs>`_
 * `Hansards text chunks of Canadian Parliament <http://www.isi.edu/natural-language/download/hansard/>`_
 * `Machine Comprehension Test (MCTest) of text from Microsoft Research <http://research.microsoft.com/en-us/um/redmond/projects/mctest/index.html>`_
 * `Machine Translation of European languages <http://statmt.org/wmt11/translation-task.html#download>`_
+* `Multi-Domain Sentiment Dataset (version 2.0) <http://www.cs.jhu.edu/~mdredze/datasets/sentiment/>`_
+* `Microsoft MAchine Reading COmprehension Dataset (or MS MARCO) <http://www.msmarco.org/dataset.aspx>`_
 * `Personae Corpus <http://www.clips.uantwerpen.be/datasets/personae-corpus>`_
 * `SaudiNewsNet Collection of Saudi Newspaper Articles (Arabic, 30K articles) <https://github.com/ParallelMazen/SaudiNewsNet>`_
 * `SMS Spam Collection in English <http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/>`_
 * `USENET postings corpus of 2005~2011 <http://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html>`_
 * `Wikidata - Wikipedia databases <https://www.wikidata.org/wiki/Wikidata:Database_download>`_
 * `Wikipedia Links data - 40 Million Entities in Context <https://code.google.com/p/wiki-links/downloads/list>`_
+* `Universal Dependencies <http://universaldependencies.org>`_
 * `WordNet databases and tools <http://wordnet.princeton.edu/wordnet/download/>`_
+* `Open Multilingual Wordnet <http://compling.hss.ntu.edu.sg/omw/>`_
+* `Automatic Keyphrase Extracttion <https://github.com/snkim/AutomaticKeyphraseExtraction/>`_
+  
+
+Neuroscience
+-------------
+
+* `Allen Institute Datasets <http://www.brain-map.org/>`_
+* `Brain Catalogue <http://braincatalogue.org/>`_
+* `Brainomics <http://brainomics.cea.fr/localizer>`_ 
+* `CodeNeuro Datasets <http://datasets.codeneuro.org/>`_ 
+* `Collaborative Research in Computational Neuroscience (CRCNS) <http://crcns.org/data-sets>`_
+* `FCP-INDI <http://fcon_1000.projects.nitrc.org/index.html>`_
+* `Human Connectome Project <http://www.humanconnectome.org/data/>`_ 
+* `NDAR <https://ndar.nih.gov/>`_
+* `NIMH Data Archive <http://data-archive.nimh.nih.gov/>`_
+* `NeuroData <http://neurodata.io>`_
+* `OASIS <http://www.oasis-brains.org/>`_
+* `OpenfMRI <https://openfmri.org/>`_
+* `Neuroelectro <http://neuroelectro.org/>`_
+* `Study Forrest <http://studyforrest.org>`_
 
 
 Physics
@@ -383,6 +417,7 @@ Public Domains
 * `Infochimps <http://www.infochimps.com/>`_
 * `KDNuggets Data Collections <http://www.kdnuggets.com/datasets/index.html>`_
 * `Microsoft Azure Data Market Free DataSets <http://datamarket.azure.com/browse/data?price=free>`_
+* `Microsoft Data Science for Research <http://aka.ms/Data-Science>`_
 * `Numbray <http://numbrary.com/>`_
 * `Open Library Data Dumps <https://openlibrary.org/developers/dumps>`_
 * `Reddit Datasets <https://www.reddit.com/r/datasets>`_
@@ -424,7 +459,6 @@ Social Networks
 * `Facebook Data Scrape (2005) <https://archive.org/details/oxford-2005-facebook-matrix>`_
 * `Facebook Social Networks from LAW (since 2007) <http://law.di.unimi.it/datasets.php>`_
 * `Foursquare from UMN/Sarwat (2013) <https://archive.org/details/201309_foursquare_dataset_umn>`_
-* `GetGlue - users rating TV shows <http://getglue-data.s3.amazonaws.com/getglue_sample.tar.gz>`_
 * `GitHub Collaboration Archive <https://www.githubarchive.org/>`_
 * `Google Scholar citation relations <http://www3.cs.stonybrook.edu/~leman/data/gscholar.db>`_
 * `High-Resolution Contact Networks from Wearable Sensors <http://www.sociopatterns.org/datasets/>`_
@@ -465,6 +499,7 @@ Social Sciences
 * `International Studies Compendium Project <http://www.isacompendium.com/public/>`_
 * `James McGuire Cross National Data <http://jmcguire.faculty.wesleyan.edu/welcome/cross-national-data/>`_
 * `MacroData Guide by Norsk samfunnsvitenskapelig datatjeneste <http://nsd.uib.no>`_
+* `Minnesota Population Center <https://www.ipums.org/>`_
 * `MIT Reality Mining Dataset <http://realitycommons.media.mit.edu/realitymining.html>`_
 * `Open Crime and Policing Data in England, Wales and Northern Ireland <https://data.police.uk/data/>`_
 * `Paul Hensel General International Data Page <http://www.paulhensel.org/dataintl.html>`_
@@ -474,8 +509,9 @@ Social Sciences
 * `StackExchange Data Explorer <http://data.stackexchange.com/help>`_
 * `Terrorism Research and Analysis Consortium <http://www.trackingterrorism.org/>`_
 * `Texas Inmates Executed Since 1984 <http://www.tdcj.state.tx.us/death_row/dr_executed_offenders.html>`_
-* `Titanic Survival Data Set <https://github.com/caesar0301/awesome-public-datasets/tree/master/Datasets>`_
+* `Titanic Survival Data Set <https://github.com/caesar0301/awesome-public-datasets/tree/master/Datasets>`_ or `on Kaggle <https://www.kaggle.com/c/titanic/data>`_
 * `UCB's Archive of Social Science Data (D-Lab) <http://ucdata.berkeley.edu/>`_
+* `Uppsala Conflict Data Program <http://ucdp.uu.se/>`_
 * `UCLA Social Sciences Data Archive <http://dataarchives.ss.ucla.edu/Home.DataPortals.htm>`_
 * `UN Civil Society Database <http://esango.un.org/civilsociety/>`_
 * `Universities Worldwide <http://univ.cc/>`_
@@ -533,7 +569,7 @@ Transportation
 * `RITA Airline On-Time Performance data <http://www.transtats.bts.gov/Tables.asp?DB_ID=120>`_
 * `RITA/BTS transport data collection (TranStat) <http://www.transtats.bts.gov/DataIndex.asp>`_
 * `Toronto Bike Share Stations (XML file) <http://www.bikesharetoronto.com/data/stations/bikeStations.xml>`_
-* `Transport for London (TFL) <https://tfl.gov.uk/info-for/open-data-users/our-feeds>`_
+* `Transport for London (TFL) <https://tfl.gov.uk/info-for/open-data-users/data-feeds>`_
 * `Travel Tracker Survey (TTS) for Chicago <http://www.cmap.illinois.gov/data/transportation/travel-tracker-survey>`_
 * `U.S. Bureau of Transportation Statistics (BTS) <http://www.rita.dot.gov/bts/>`_
 * `U.S. Domestic Flights 1990 to 2009 <http://academictorrents.com/details/a2ccf94bbb4af222bf8e69dad60a68a29f310d9a>`_
@@ -551,4 +587,3 @@ Complementary Collections
 * Quora: `Where can I find large datasets open to the public? <http://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public>`_
 * RS.io: `100+ Interesting Data Sets for Statistics <http://rs.io/100-interesting-data-sets-for-statistics/>`_
 * StaTrek: `Leveraging open data to understand urban lives <http://xiaming.me/posts/2014/10/23/leveraging-open-data-to-understand-urban-lives/>`_
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