diff --git a/PULL_REQUEST_TEMPLATE.rst b/PULL_REQUEST_TEMPLATE.rst
new file mode 100644
index 0000000..1014736
--- /dev/null
+++ b/PULL_REQUEST_TEMPLATE.rst
@@ -0,0 +1,3 @@
+# Overview
+
+* `Dataset Description `_
diff --git a/README.rst b/README.rst
index cd0c43a..aedc921 100755
--- a/README.rst
+++ b/README.rst
@@ -25,8 +25,8 @@ Biology
* `1000 Genomes `_
* `American Gut (Microbiome Project) `_
-* `Broad Cancer Cell Line Encyclopedia (CCLE) `_
* `Broad Bioimage Benchmark Collection (BBBC) `_
+* `Broad Cancer Cell Line Encyclopedia (CCLE) `_
* `Cell Image Library `_
* `Complete Genomics Public Data `_
* `EBI ArrayExpress `_
@@ -64,12 +64,13 @@ Biology
* `The Catalogue of Life `_
* `The Personal Genome Project `_ or `PGP `_
* `UCSC Public Data `_
-* `Universal Protein Resource (UnitProt) `_
* `UniGene `_
+* `Universal Protein Resource (UnitProt) `_
Climate/Weather
---------------
+
* `Actuaries Climate Index `_
* `Australian Weather `_
* `Aviation Weather Center - Consistent, timely and accurate weather information for the world airspace system `_
@@ -95,6 +96,7 @@ Complex Networks
* `AMiner Citation Network Dataset `_
* `CrossRef DOI URLs `_
* `DBLP Citation dataset `_
+* `DIMACS Road Networks Collection `_
* `NBER Patent Citations `_
* `Network Repository with Interactive Exploratory Analysis Tools `_
* `NIST complex networks data collection `_
@@ -111,7 +113,7 @@ Complex Networks
* `UCI Network Data Repository `_
* `UFL sparse matrix collection `_
* `WSU Graph Database `_
-* `DIMACS Road Networks Collection `_
+
Computer Networks
-----------------
@@ -130,15 +132,10 @@ Computer Networks
* `UCSD Network Telescope, IPv4 /8 net `_
-Contextual Data
----------------
-
-* `Context-aware data sets from five domains `_
-
-
Data Challenges
---------------
+* `Bruteforce Database `_
* `Challenges in Machine Learning `_
* `CrowdANALYTIX dataX `_
* `D4D Challenge of Orange `_
@@ -150,9 +147,9 @@ Data Challenges
* `Netflix Prize `_
* `Space Apps Challenge `_
* `Telecom Italia Big Data Challenge `_
-* `Yelp Dataset Challenge `_
-* `Bruteforce Database `_
* `TravisTorrent Dataset - MSR'2017 Mining Challenge `_
+* `Yelp Dataset Challenge `_
+
Earth Science
-------------
@@ -216,7 +213,6 @@ Energy
* `WHITED `_
-
Finance
-------
@@ -224,12 +220,12 @@ Finance
* `Google Finance `_
* `Google Trends `_
* `NASDAQ `_
+* `NYSE Market Data `_ (see FTP link on `RAW `_)
* `OANDA `_
* `OSU Financial data `_
* `Quandl `_
* `St Louis Federal `_
* `Yahoo Finance `_
-* `NYSE Market Data `_ (see FTP link on `RAW `_)
GIS
@@ -263,9 +259,9 @@ GIS
Government
----------
-* `OpenDataSoft's list of 1,600 open data `_
-* `Open Data for Africa `_
* `A list of cities and countries contributed by community `_
+* `Open Data for Africa `_
+* `OpenDataSoft's list of 1,600 open data `_
Healthcare
@@ -289,10 +285,13 @@ Image Processing
* `10k US Adult Faces Database `_
* `2GB of Photos of Cats `_ or `Archive version `_
+* `Adience Unfiltered faces for gender and age classification `_
* `Affective Image Classification `_
* `Animals with attributes `_
+* `Caltech Pedestrian Detection Benchmark `_
* `Chars74K dataset, Character Recognition in Natural Images (both English and Kannada are available) `_
* `Face Recognition Benchmark `_
+* `GDXray: X-ray images for X-ray testing and Computer Vision `_
* `ImageNet (in WordNet hierarchy) `_
* `Indoor Scene Recognition `_
* `International Affective Picture System, UFL `_
@@ -301,16 +300,17 @@ Image Processing
* `Several Shape-from-Silhouette Datasets `_
* `Stanford Dogs Dataset `_
* `SUN database, MIT `_
-* `The Oxford-IIIT Pet Dataset `_
-* `YouTube Faces Database `_
-* `Adience Unfiltered faces for gender and age classification `_
* `The Action Similarity Labeling (ASLAN) Challenge `_
+* `The Oxford-IIIT Pet Dataset `_
* `Violent-Flows - Crowd Violence \ Non-violence Database and benchmark `_
* `Visual genome `_
+* `YouTube Faces Database `_
+
Machine Learning
----------------
+* `Context-aware data sets from five domains `_
* `Delve Datasets for classification and regression (Univ. of Toronto) `_
* `Discogs Monthly Data `_
* `eBay Online Auctions (2012) `_
@@ -321,8 +321,8 @@ Machine Learning
* `Machine Learning Data Set Repository `_
* `Million Song Dataset `_
* `More Song Datasets `_
-* `New Yorker caption contest ratings `_
* `MovieLens Data Sets `_
+* `New Yorker caption contest ratings `_
* `RDataMining - "R and Data Mining" ebook data `_
* `Registered Meteorites on Earth `_
* `Restaurants Health Score Data in San Francisco `_
@@ -346,6 +346,7 @@ Museums
Natural Language
----------------
+* `Automatic Keyphrase Extracttion `_
* `Blogger Corpus `_
* `CLiPS Stylometry Investigation Corpus `_
* `ClueWeb09 FACC `_
@@ -360,36 +361,38 @@ Natural Language
* `Hansards text chunks of Canadian Parliament `_
* `Machine Comprehension Test (MCTest) of text from Microsoft Research `_
* `Machine Translation of European languages `_
-* `Multi-Domain Sentiment Dataset (version 2.0) `_
* `Microsoft MAchine Reading COmprehension Dataset (or MS MARCO) `_
+* `Multi-Domain Sentiment Dataset (version 2.0) `_
+* `Open Multilingual Wordnet `_
* `Personae Corpus `_
* `SaudiNewsNet Collection of Saudi Newspaper Articles (Arabic, 30K articles) `_
* `SMS Spam Collection in English `_
+* `Universal Dependencies `_
* `USENET postings corpus of 2005~2011 `_
+* `Webhose - News/Blogs in multiple languages `_
* `Wikidata - Wikipedia databases `_
* `Wikipedia Links data - 40 Million Entities in Context `_
-* `Universal Dependencies `_
* `WordNet databases and tools `_
* `Open Multilingual Wordnet `_
* `Automatic Keyphrase Extraction `_
-
+
Neuroscience
-------------
* `Allen Institute Datasets `_
* `Brain Catalogue `_
-* `Brainomics `_
-* `CodeNeuro Datasets `_
+* `Brainomics `_
+* `CodeNeuro Datasets `_
* `Collaborative Research in Computational Neuroscience (CRCNS) `_
* `FCP-INDI `_
-* `Human Connectome Project `_
+* `Human Connectome Project `_
* `NDAR `_
-* `NIMH Data Archive `_
* `NeuroData `_
+* `Neuroelectro `_
+* `NIMH Data Archive `_
* `OASIS `_
* `OpenfMRI `_
-* `Neuroelectro `_
* `Study Forrest `_
@@ -417,9 +420,9 @@ Public Domains
* `Archive.org Datasets `_
* `CMU JASA data archive `_
* `CMU StatLab collections `_
+* `Data.World `_
* `Data360 `_
* `Datamob.org `_
-* `Data.World `_
* `Google `_
* `Infochimps `_
* `KDNuggets Data Collections `_
@@ -475,8 +478,8 @@ Social Networks
* `Skytrax' Air Travel Reviews Dataset `_
* `Social Twitter Data `_
* `SourceForge.net Research Data `_
-* `Twitter Data for Sentiment Analysis `_
* `Twitter Data for Online Reputation Management `_
+* `Twitter Data for Sentiment Analysis `_
* `Twitter Graph of entire Twitter site `_
* `Twitter Scrape Calufa May 2011 `_
* `UNIMI/LAW Social Network Datasets `_
@@ -521,11 +524,11 @@ Social Sciences
* `Texas Inmates Executed Since 1984 `_
* `Titanic Survival Data Set `_ or `on Kaggle `_
* `UCB's Archive of Social Science Data (D-Lab) `_
-* `Uppsala Conflict Data Program `_
* `UCLA Social Sciences Data Archive `_
* `UN Civil Society Database `_
* `Universities Worldwide `_
* `UPJOHN for Labor Employment Research `_
+* `Uppsala Conflict Data Program `_
* `World Bank Open Data `_
* `WorldPop project - Worldwide human population distributions `_
@@ -569,7 +572,7 @@ Transportation
* `German train system by Deutsche Bahn `_
* `Hubway Million Rides in MA `_
* `Marine Traffic - ship tracks, port calls and more `_
-* `Montreal BIXI Bike Share `_
+* `Montreal BIXI Bike Share `_
* `NYC Taxi Trip Data 2009- `_
* `NYC Taxi Trip Data 2013 (FOIA/FOILed) `_
* `NYC Uber trip data April 2014 to September 2014 `_
@@ -580,7 +583,7 @@ Transportation
* `RITA Airline On-Time Performance data `_
* `RITA/BTS transport data collection (TranStat) `_
* `Toronto Bike Share Stations (XML file) `_
-* `Transport for London (TFL) `_
+* `Transport for London (TFL) `_
* `Travel Tracker Survey (TTS) for Chicago `_
* `U.S. Bureau of Transportation Statistics (BTS) `_
* `U.S. Freight Analysis Framework since 2007 `_
@@ -591,6 +594,7 @@ Complementary Collections
* `Data Packaged Core Datasets `_
* `Database of Scientific Code Contributions `_
+* A growing collection of public datasets: `CoolDatasets. `_
* DataWrangling: `Some Datasets Available on the Web `_
* Inside-r: `Finding Data on the Internet `_
* OpenDataMonitor: `An overview of available open data resources in Europe `_