United Nations Development Group-UNDG Catalog The Socrata Open Data API (SODA) allows software developers to access data hosted in Socrata data sites programmatically. Developers can create applications that use the SODA APIs to visualize and “mash-up” Socrata datasets in new and exciting ways. Create an iPhone application that visualizes government spending in your area, a web application that allows citizens to look up potential government benefits they'd overlooked, or a service that automatically emails you when new earmarks are added to bills that you wish to track. To start accessing this dataset programmatically, use the API endpoint provided below. For more information and examples on how to use the Socrata Open Data API, reference our Developer Documentation. API Access Endpoint: Column IDs: Type type Domain domain Name name Description description Category category Keywords keywords Rating rating Comments comments Uid system_id Update Frequency update_frequency Time Period time_period Agency agency id
Case Law on UNCITRAL Texts (CLOUT) The UNCITRAL Secretariat has established a system for collecting and disseminating information on court decisions and arbitral awards relating to the Conventions and Model Laws that have emanated from the work of the Commission. The purpose of the system is to promote international awareness of the legal texts formulated by the Commission and to facilitate uniform interpretation and application of those texts. The system is explained in document A/CN.9/SER.C/GUIDE/1/Rev.2. Search CLOUT Cases Digests Thesauri National Correspondents Bibliography On-line Resources & Webcasts CLOUT -- UNCITRAL's legal database turns 25 Facts about CLOUT Time Series This website opens up the results of years of work collecting and synthesizing tens of thousands of time series, and thousands of existing and newly-developed methods for measuring structure in time series. Click the banners below for an overview of why this resource might be useful for science, or to begin exploring our libraries of time-series data and Matlab-based time-series analysis code. The key scientific article describing how this resource was used to perform highly comparative time-series analysis can be found here: Highly comparative time-series analysis: The empirical structure of time series and their methods, J. Roy. All (unrestricted) data used in the above article is included in this web resource, as are the hundreds of pieces of code developed for performing time-series analysis. Any feedback about the website and broader initiative is much appreciated!
Commission on the Status of Women - UNCSW Follow us on: The Commission's mandate was expanded in 1987 by ECOSOC resolution 1987/22 to include the functions of promoting the objectives of equality, development and peace, monitoring the implementation of measures for the advancement of women, and reviewing and appraising progress made at the national, subregional, regional and global levels. Following the 1995 Fourth World Conference on Women, the General Assembly mandated the Commission to integrate into its programme a follow-up process to the Conference, regularly reviewing the critical areas of concern in the Beijing Platform for Action and to develop its catalytic role in mainstreaming a gender perspective in United Nations activities. The Economic and Social Council (ECOSOC) again modified the Commission's terms of reference in 1996, in its resolution 1996/6, deciding that the Commission should: (e) Maintain and enhance public awareness and support for the implementation of the Platform for Action.
6 dataset lists curated by data scientists | Mortar Blog | Data Science at Scale Docs Blog 6 dataset lists curated by data scientists November 21, 2013 Scott Haylon Since we do a lot of experimenting with data, we’re always excited to find new datasets to use with Mortar. There are tons of resources throughout the web, but given our love for the data scientist community, we thought we’d pick out a few of the best dataset lists curated by data scientists. Below is a collection of six great dataset lists from both famous data scientists and those who aren’t well-known: 1) Pete Skomoroch most recently worked as a Research Scientist at LinkedIn. 2) Hilary Mason is a Data Scientist in Residence at Accel Partners (and one of Mortar’s advisors!). 3) Kevin Chai was most recently working as a research fellow for theCentre of Health Informatics at the University of New South Wales in Sydney, Australia. 4) Jeff Hammerbacher is Co-Founder and Chief Scientist of Cloudera. 5) Jerry Smith is Chief Data Scientist at 3i-MIND and an Adjunct Professor at NOVA Southeastern University. Tags
United Nations Development Fund for Women-UNIFEM Machine Learning Repository