Our report addresses: An overview of our conference planning, review, and approval processes; Agency-sponsored and federally sponsored/hosted conferences in excess of $500,000; and Agency-sponsored and federally sponsored/hosted conferences in excess of $100,000. Report for FY 2015.

Slides with notes from 2015 Charleston Conference workshops and notes.

Korea No. of Users and Participants: International Conference Business data was reported at 28,921,484.000 Person in 2016. This records an increase from the previous number of 19,463,756.000 Person for 2015. Korea No. of Users and Participants: International Conference Business data is updated yearly, averaging 20,598,800.500 Person from Dec 2007 (Median) to 2016, with 10 observations. The data reached an all-time high of 28,921,484.000 Person in 2016 and a record low of 8,217,542.000 Person in 2007. Korea No. of Users and Participants: International Conference Business data remains active status in CEIC and is reported by Korea National Tourism Organization. The data is categorized under Global Database’s Korea – Table KR.H091: Tourism Industry Number of Total Users and Participants.

Context

This dataset drawn from NIPS

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

FOMC Press Conference

Overview

Federal Open Market Committee organizes press conferences during which journalists ask questions to the chairperson about the current stance of monetary policy. This dataset records the policymaker responses in both audio and text format for press conferences between 2015 and 2022. Each conference contains close to 20 questions and answers of variable lengths.

Organisation

Each folder corresponds to a press conference with the name of the chairperson (Bernanke, Powell, etc.) and the date of the conference. Audio files are enumerated by order, the responses.txt files contain the different responses and are separated by the 'RESPONSE:' keyword.

Preliminary data for ADHO conference programs, DH2013-2015.

The Asia-Pacific Software Engineering Conference (APSEC) is an annual conference started in the year 1994 in Tokyo (Japan) with the aim of brining software engineering researchers and practitioners from both university and industry around the world to exchange research results and ideas. APSEC 1994 (Tokyo, Japan) was the first edition of the conference and the annual event completes 23 editions in 2016 (Hamilton, New Zealand). The dataset contains meta-data on APSEC 2010 to APSEC 2015 papers from various perspectives such as paper acceptance rates, conference location, scholarly output of various countries, keynotes, workshops, conference organizers and sponsors, tutorials, prolific authors, citation impact, internal and external collaboration, university and industry participation and collaboration, gender imbalance, topical analysis, yearly author churn and program committee characteristics. The paper titled “A Review of Six Years of Asia-Pacific Software Engineering Conference” by Lov Kumar, Saikrishna Sripada and Ashish Sureka published in APSEC 2016 is based on this dataset

Demographic breakdown of presented and published abstracts across the NASS AGM 2013–2015 for the entire dataset.

The University of Merced (UCM) is undertaking the construction of a campus center in California, the US.The project involved the construction of a three-story, 6,261m2 space campus center. It includes the construction of mixed-use collaborative space, conference and seminar rooms, 70 private offices, a work cafe, a library and related facilities.The Urban Land Institute has been appointed as consultant, Heller Manus Architects as architect and Turner Construction as the construction contractor.In July 2015, the UC Board of Regents approved the project.In June 2016, construction works commenced.Construction activities are underway and expected to be complete by early 2018. Read More

A list of conferences that staff attended that were funded by Defra Information Services Directorate in financial year 2015 2016. Attribution statement: © Crown Copyright

This data was used in the TREC 2015 and 2016 total recall track. The goal of the total recall track was to help develop retrieval systems tuned to retrieving ALL relevant information, as opposed to common web search engines where one good answer could be sufficient.

This statistic presents the percentage of professional use of digital tools among Spanish companies as of 2015, broken down by type. In that year, virtual meeting and conference systems were used by almost ** percent of the participants in the study, whereas only ** percent of them used the notes on the cloud.

A review of current literature on the occurrence of waterborne pathogens in DW systems. This dataset is not publicly accessible because: I am using published data from a journal not generated by EPA. It can be accessed through the following means: N/A. Format: no unique data has been generated. This dataset is associated with the following publication: Rochelle, P., P. Klonicki, G. DiGiovanni, V. Hill, Y. Akagi, and E. Villegas. Conference Report: The 6th International Symposium on Waterborne Pathogens ISWP 2015. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 107(10): 24-32, (2015).

No description is available. Visit https://dataone.org/datasets/doi%3A10.18739%2FA2J678X27 for complete metadata about this dataset.

Dataset of the 'Industrial Challenge: Recovering missing information in heating system operating data' competition hosted at The Genetic and Evolutionary Computation Conference (GECCO) July 11th-15th 2015, Madrid, Spain

The task of the competition was to recover (impute) missing information in heating system operation time series'.

Included in zenodo:

• dataset of heating system operational time series with missing values

• additional material and descriptions provided for the competition

The competition was organized by:

M. Friese, A. Fischbach, C. Schlitt, T. Bartz-Beielstein (TH Köln)

The dataset was provided by:

Major German heating systems supplier (S. Moritz)

Industrial Challenge: Recovering missing information in heating system operating data

The Industrial Challenge will be held in the competition session at the Genetic and Evolutionary Computation Conference. It poses difficult real-world problems provided by industry partners from various fields. Highlights of the Industrial Challenge include interesting problem domains, real-world data and realistic quality measurement

Overview

In times of accelerating climate change and rising energy costs, increasing energy efficiency and reducing expenses becomes a high priority goal for businesses and private households alike. Modern heating systems record detailed operating data and report this data to a central system. Here, the operating data can be correlated and analyzed to detect potential optimization opportunities or anomalies like unusually high energy consumption. Due to various difficulties this data might be incomplete which makes accurate forecasting even harder.

Goal of the GECCO 2015 Industrial Challenge is to develop capable procedures to recover missing information in heating system operating data. Adequate recovery of the missing data enables more accurate forecastings which allow for intelligent control of the heating systems, and therefore contributes to a positive energy balance and reduced expenses.

Submission deadline: June 22, 2015

Official Webpage: www.spotseven.de/gecco-challenge/gecco-challenge-2015/

Abstract

Inspired by the recent success of RGB-D cameras, we propose the enrichment of RGB data with an additional quasi-free modality, namely, the wireless signal emitted by individuals' cell phones, referred to as RGB-W. The received signal strength acts as a rough proxy for depth and a reliable cue on a person's identity. Although the measured signals are noisy, we demonstrate that the combination of visual and wireless data significantly improves the localization accuracy. We introduce a novel image-driven representation of wireless data which embeds all received signals onto a single image. We then evaluate the ability of this additional data to (i) locate persons within a sparsity-driven framework and to (ii) track individuals with a new confidence measure on the data association problem. Our solution outperforms existing localization methods. It can be applied to the millions of currently installed RGB cameras to better analyze human behavior and offer the next generation of high-accuracy location-based services.

Conference Paper

PDF: http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Alahi_RGB-W_When_Vision_ICCV_2015_paper.pdf

Metadata

+----------------+-----------------+-----------+-----------+--------------+----------+ | Sequence Name | Length (mm:ss) | # Frames | # People | # W Devices | Download | +----------------+-----------------+-----------+-----------+--------------+----------+ | conference-1 | 01:53 | 1,697 | 5 | 5 | 116 MiB | | conference-2 | 05:18 | 4,782 | 12 | 12 | 379 MiB | | conference-3 | 23:31 | 21,165 | 1 | 2 | 1.3 GiB | | conference-4 | 06:27 | 4,832 | 1 | 2 | 357 MiB | | conference-5 | 06:03 | 4,525 | 2 | 2 | 290 MiB | | patio-1 | 07:22 | 6,636 | 4 | 4 | 474 MiB | | patio-2 | 04:36 | 4,144 | 2 | 2 | 258 MiB | | Full Dataset | 55:10 | 47,781 | -- | -- | 3.2 GiB | +----------------+-----------------+-----------+-----------+--------------+----------+

Citation

If you would like to cite our work, please use the following.

Alahi A, Haque A, Fei-Fei L. (2015). RGB-W: When Vision Meets Wireless. International Conference on Computer Vision (ICCV). Santiago, Chile. IEEE.

@inproceedings{alahi2015rgb, title={RGB-W: When vision meets wireless}, author={Alahi, Alexandre and Haque, Albert and Fei-Fei, Li}, booktitle={International Conference on Computer Vision}, year={2015} }

The dataset ”DBLP-CSR.zip” is derived from September 17, 2015 snapshot of dblp bibliography database. It contains the last 16 years (2000 − 2015) of publications records of 81 Computer Science Research conferences used for a study conducted in our paper Women in Computer Science Research- What is Bibliography Data Telling Us? published in ACM SIGCAS Computers and Society Newsletter, Volume 46, Issue 1, February 2016. Link to the Newsletter Archive: http://dl.acm.org/citation.cfm?id=J198

The dataset contains 7 .sql files and a README file providing the description of dataset and attributes. The seven .sql files are primarily named as affiliation_coord.sql, affiliation.sql, author_gender.sql, authors.sql, editor_gender.sql, editor.sql and main.sql.

The affiliation_coord.sql, affiliation.sql, authors.sql, editor.sql files create the tables with same name. While main.sql, editor_gender.sql and author_gender.sql create tables with the names general, genedit and genauth old respectively.

Followings are the list and description of all attributes used in the dataset. Same attributes used in different tables are listed only once.

1. Table- general

k- unique id of each article- primary key in the table. year- the year of publication conf- abbreviation for conference name (HT for ACM HyperText) crossref- cross reference link to all articles published in a conference in a year cs, de, se, th- a binary attribute denoting if a conference belongs to these domains (Computer Science, Data Engineering, Software Engineering, Theory) publisher- Name of the conference publisher link- unique DOI link to the article that re-directs to conference publisher page.

1. Table- authors

pos- position of author in the paper. 0 denotes first author name- unique name of author in dblp dataset gender- gender of authors. Hyphen (-) denotes that gender was not determined. Please refer to the paper for more details. prob- probability of a name to be M, F, -.

1. Table- editors

k- foreign key for crossref attribute in general table pos- position of editor in conference. 0 denotes the first editor.

1. Table- genauth_old and genedit

contain the records of gender information of authors and editors- derived from authors and editors tables.

1. Table- affiliation

affil- affiliation record of each author publishing in the 81 conferences mentioned above. year- year of publication

1. Table- affiliation_coord

country- country of the author extracted from affiliation country_code- code to be used for maps lat, lng- latitude and longitude information of affiliation.

"Media Survey, 2015, Journalists" was conducted in conjunction with the conference Nordic Media Festival held in Bergen in 2015. The study deals with media use and attitudes among journalists and the public. Media survey has been conducted annually since 1999.

Includes all articles indexed by Scopus® for the seven journals listed on the Design Society website and all papers indexed for DESIGN and ICED (accessed on 05/Nov/2016).

The full search query used to extract the articles is:

"( SRCTITLE ( "Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM" OR "Journal of Engineering Design" OR "Design Studies" OR "Research in Engineering Design" OR "CoDesign" OR "Journal of Design Research" OR "Design Science Journal" OR "The International Journal of Design Creativity and Innovation" OR "International Conference on Engineering Design" OR "INTERNATIONAL DESIGN CONFERENCE" ) ) AND ( "data collection" OR "data acquisition" OR "data source" OR database OR "empirical data" OR "empirical grounding" OR interview OR documents OR "data logs" OR "case study" OR observation OR experiment* OR "empirical finding*" OR "empirical result*" ) AND ( EXCLUDE ( EXACTSRCTITLE , "Hardware Software Codesign Proceedings Of The International Workshop" ) OR EXCLUDE ( EXACTSRCTITLE , "Journal Of Engineering Design And Technology" ) OR EXCLUDE ( EXACTSRCTITLE , "Research In Engineering Design Theory Applications And Concurrent Engineering" ) OR EXCLUDE ( EXACTSRCTITLE , "Chinese Journal Of Engineering Design" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 2005 International Conference On Hardware Software Codesign And System Synthesis" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 12 Proceedings Of The 10th ACM International Conference On Hardware Software Codesign And System Synthesis Co Located With Esweek" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 2006 Proceedings Of The 4th International Conference On Hardware Software Codesign And System Synthesis" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 2007 International Conference On Hardware Software Codesign And System Synthesis" ) OR EXCLUDE ( EXACTSRCTITLE , "Embedded Systems Week 2008 Proceedings Of The 6th IEEE ACM IFIP International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2008" ) OR EXCLUDE ( EXACTSRCTITLE , "Second IEEE ACM IFIP International Conference On Hardware Software Codesign And Systems Synthesis Codes Isss 2004" ) OR EXCLUDE ( EXACTSRCTITLE , "Embedded Systems Week 2011 Esweek 2011 Proceedings Of The 9th IEEE ACM IFIP International Conference On Hardware Software Codesign And System Synthesis Codes Isss 11" ) OR EXCLUDE ( EXACTSRCTITLE , "2010 IEEE ACM IFIP International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2010" ) OR EXCLUDE ( EXACTSRCTITLE , "2013 International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2013" ) OR EXCLUDE ( EXACTSRCTITLE , "2014 International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2014" ) OR EXCLUDE ( EXACTSRCTITLE , "2015 ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2015" ) OR EXCLUDE ( EXACTSRCTITLE , "8th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2010" ) ) AND ( EXCLUDE ( EXACTSRCTITLE , "2015 International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2015" ) OR EXCLUDE ( EXACTSRCTITLE , "9th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2011" ) OR EXCLUDE ( EXACTSRCTITLE , "11th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2013" ) OR EXCLUDE ( EXACTSRCTITLE , "10th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2012" ) OR EXCLUDE ( EXACTSRCTITLE , "A Practical Introduction To Hardware Software Codesign" ) )"

The keywords used in the article "DATA-DRIVEN ENGINEERING DESIGN RESEARCH: OPPORTUNITIES USING OPEN DATA" are:

"data collection" OR "data acquisition" OR "data source" OR database OR "empirical data" OR "empirical grounding" OR interview OR documents OR "data logs" OR "case study" OR observation OR experiment* OR "empirical finding*" OR "empirical result*"

Climate change is amplified in the Polar Regions. Polar amplification is captured via space and airborne remote sensing, in-situ measurement, and climate modeling. Beyond the rich literature that documents changing Polar regions, each method of Polar-data collection produces a diverse set of data types, ranging from text-based metadata to more complex data structures (e.g. HDF, NetCDF, GRIB). Because finding these data is often a primary challenge in scientific discovery, inclusion of the Polar dataset in TREC-DD would help advance science through data discovery and provide TREC-DD a new challenge in in the realm of search relevancy.

Dataset Description:

This dataset is a collection of web crawls from three primary sources:

Dr. Chris Mattmann's crawl of ADE, performed at the Open Science Codefest and at the NSF DataViz Hackathon for Polar CyberInfrastructure Dr. Mattmann's student Angela Wang, contributed 3 datasets: 2 crawls of ACADIS and one of NASA AMD. Dr. Mattmann's CSCI 572 Course at USC, students submitted 13 individual crawls of NASA ACADIS, NSIDC ADE, and AMD. Each web crawl used Apache Nutch as the core framework for web crawling and Apache Tika as the main content detection and extraction framework. Nutch is a distributed search engine that runs on top of Apache Hadoop. Apache Tika is an open source framework for metadata exploration, automatic text mining, and information retrieval.

Web crawls were focused on three polar data repositories: the National Science Foundation Advanced Cooperative Arctic Data and Information System (ACADIS), the National Snow and Ice Data Center (NSIDC) Arctic Data Explorer (ADE), and the National Aeronautics and Space Administration Antarctic Master Directory (AMD).

The finished Polar dataset is composed of 17 distinct web crawls, containing 1,741,530 records (158 GB) across the three Polar science data repositories, which themselves are largely uncoordinated.