cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e100447v1
title: Foreign Labor Certification Wage Data

description: This data collection consists of wage data collected by the Department of Labor, Bureau of Labor Statistics (BLS) under the Occupational Employment Statistics (OES) program for use in the Foreign Labor Certification process since FY 2007.
description: These files include data for the entire country. Also included are geographic and occupational information tables.<br><br>Please note that 2011-2012 and later updates represent a break in the series.  The wage file has been updated to the Standard Occupational Classification rev. 2010, and there are minor changes to the geographic definitions as well as a major update to the corresponding O*Net information.<br>
DOI: 10.3886/e100450v1
title: Foreign Labor Certification Wage Data v2

description: Foreign Labor Certification Data Center Online Wage Library
DOI: 10.3886/e100453v1
title: Rental Housing Finance Survey (RHFS), 2012

description: The
Rental Housing Finance Survey provides a current and continuous measure of
financial, mortgage, and property characteristics of rental housing properties
in the United States. 

The
survey focuses on the financing of rental housing properties, with emphasis on
new mortgages, refinanced mortgages, or similar devices such as deeds of trust
or land contracts, and the characteristics of debt originations.<br><br>The
Rental Housing Finance Survey (RHFS) was first conducted in 2012.  Prior
to 2012, rental housing data were collected as part of the 2001 Residential
Finance Survey.

The
2012 RHFS included only multifamily rental properties.  The survey was
conducted as an all personal visit operation.  U.S. Census Bureau Field
Representatives (FRs) located owners or property managers and conducted
interviews using paper questionnaires. <br><br>The
2015 RHFS included single family rental properties in addition to the
multifamily rental properties.  The paper questionnaire was eliminated and
all data were collected using an Internet-based questionnaire which allowed for
a change in collection methodology.  Property owners were sent a letter inviting
them to self-respond to the survey.  In order to mail letters to the
owners, the owner information was researched online, by conducting an
owner-seeker operation, and by doing a match to administrative sources before
the data collection.  Respondents that did not respond were followed-up by
a Telephone Follow-up operation.  The remaining noninterview cases were
then followed-up in person by an FR. The 2015 Rental Housing Finance Survey data are scheduled to be released March 2017<br>
description: The RHFS weights were derived from the product of the inverse of the probability of selection for the BSAs on the property, the MAF unit adjustment factor, and nonresponse adjustment factors.
description: Response Rates: 65 percent unweighted<br>67 percent weighted
description: face-to-face interview~~paper and pencil interview (PAPI)~~self-enumerated questionnaire~~
description: Owners or property managers of multifamily rental properties
description: The 2012 RHFS uses a two-stage sample process in which primary sampling units (PSUs) are selected, then basic street addresses (BSAs) within the PSUs are selected.
DOI: 10.25919/5c182ab6bf973
title: Climate Victoria: Maximum Temperature (3DS; 9 second, approx. 250 m)

description: Daily (Jan 1981 - Jul 2014), monthly and mean monthly (1981-2010) surfaces of maximum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using ordinary trivariate splines (full spline dependence upon latitude, longitude and elevation).
DOI: 10.7910/dvn/8wrxx0/oyaonh
title: SUFR_data_ver_1.3_with_licence_part_1.tar
DOI: 10.25810/37f9-1j65.8
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/4c3b-b819.8
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/5dxz-xm93.8
title: Latin American Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/6qjv-1296.8
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/8196-e820.8
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/c862-0e81.8
title: US Television Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/es52-xr23.8
title: Canadian Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/jck1-hf50.8
title: United States Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/k55w-7a04.8
title: World Radio Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/rxtv-eb29.8
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - November 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/v575-3r57.2
title: Japanese Newspaper Coverage of Climate Change or Global Warming, 2000-2017 - October 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25919/5c182fd156dd9
title: Climate Victoria: Maximum Temperature (3DS-M; 9 second, approx. 250 m)

description: Daily (Jan 1981 - Jul 2014), monthly and mean monthly (1981-2010) surfaces of maximum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using trivariate splines (latitude, longitude and elevation) with partial dependence upon standardised day time MODIS land surface temperature.
DOI: 10.25919/5c1832e702a74
title: Climate Victoria: Minimum Temperature (2DS-E; 9 second, approx. 250 m)

description: Daily (Jan 1981 - Jul 2014), monthly and mean monthly (1981-2010) surfaces of minimum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using bivariate splines (latitude and longitude) with partial dependence upon elevation.
DOI: 10.25919/5c1835159adea
title: Climate Victoria: Minimum Temperature (3DS-T; 9 second, approx. 250 m)

description: Daily (Jan 1981 - Jul 2014), monthly and mean monthly (1981-2010) surfaces of minimum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using trivariate splines (latitude, longitude and elevation) with partial dependence upon a topographic index of relative elevation.
DOI: 10.3886/e107806v1
title: Mathematics Curriculum Effects on Student Achievement in California.

description: We estimate relative achievement effects of the four most commonly adopted elementary mathematics textbooks in the fall of 2008 and fall of 2009 in California. Our findings indicate that one book, Houghton Mifflin’s California Math, is more effective than the other three, raising student achievement by 0.05 to 0.08 student-level standard deviations of the Grade 3 state standardized math test. We also estimate positive effects of California Math relative to the other textbooks in higher elementary grades. The differential effect of California Math is educationally meaningful, particularly given that it is a schoolwide effect and can be had at what is effectively zero marginal cost.
DOI: 10.7910/dvn/8wrxx0/eraft2
title: SUFR_data_ver_1.3_with_licence_part_2.tar
DOI: 10.17632/4hchdd2vwh.1
title: Data for: The planktonic foraminiferal response to the Paleocene Eocene Thermal Maximum on the Atlantic Coastal Plain

description: Table S1. Table of samples and full species counts for all BR and CD samples (including the dissolution zone). Counts are number of individuals counted in each sample. For totals &lt;200, one full picking tray was counted. Separation of tables denote location of CIE based on bulk carbonate δ13C. Table S2. Summary of diversity, % fragmentation, and P/B ratios (presented in %) based on counts at CamDor and Bass River. Pre-CIE and CIE samples noted. Table S3. Table of samples and species groups for Bass River and CamDor samples that were included in the multivariate analysis. Counts are number of individuals from each species group counted in each sample. Table S4. Table of sample depths that correspond to the sample numbers in Figure 9 for CamDor, Bass River, and Site 1209. Depths are in meters.
DOI: 10.18434/t4/1503328
title: DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND

description: This data is for ROC curve plots from the publication, \"Detection of Incumbent Radar in the 3.5 GHz
            CBRS Band\", Raied Caromi, Michael Souryal, and Wen-Bin Yang, IEEE GlobalSIP, Nov. 2018,
            Anaheim, CA.\nThe ROC curves represent performance of federal incumbent radar detection in the
            3.5 GHz CBRS band using field-measured waveforms. The data is for the following figures:\n\nFig.
            2: Measured signal as template; signal with added WGN, Fig. 3: Synthetic template; signal with
            added WGN, Fig. 4: Synthetic template; signal with LTE interference, Fig. 5: Synthetic template;
            signal with measured adjacent-band radar emissions.
DOI: 10.18434/t4/1503331
title: DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND

description: This data is for ROC curve plots from the publication, \"Detection of Incumbent Radar in the 3.5 GHz
            CBRS Band\", Raied Caromi, Michael Souryal, and Wen-Bin Yang, IEEE GlobalSIP, Nov. 2018,
            Anaheim, CA.\nThe ROC curves represent performance of federal incumbent radar detection in the
            3.5 GHz CBRS band using field-measured waveforms. The data is for the following figures:\n\nFig.
            2: Measured signal as template; signal with added WGN, Fig. 3: Synthetic template; signal with
            added WGN, Fig. 4: Synthetic template; signal with LTE interference, Fig. 5: Synthetic template;
            signal with measured adjacent-band radar emissions.
DOI: 10.23721/100/1503332
title: Network Atlas

description: Network Atlas is a crowd-sourced near real-time map of the global Internet infrastructure detailing the world's submarine and terrestrial networks in real time. Users can add networks to the map, update listings with more accurate information and use the atlas' near real-time data to track outages and identify possible areas of expansion. Network Atlas is a non-for-profit services designed to help provide a more accurate accounting of the world's network grid. ;
DOI: 10.23721/100/1503333
title: Ember: Endgame Malware BEnchmark for Research (2017-01-01 to 2017-12-31)

description: The ember dataset is a collection of 1.1 million sha256 hashes from PE files that were scanned sometime in 2017. This repository makes it easy to reproducibly train the benchmark model, extend the provided feature set, or classify new PE files with the benchmark model.
The dataset includes features extracted from 1.1M binary files: 900K training samples (300K malicious, 300K benign, 300K unlabeled) and 200K test samples (100K malicious, 100K benign). The dataset is accompanied by open source code for extracting features from additional binaries so that additional sample features can be appended to the dataset. This dataset fills a void in the information security machine learning community: a benign/malicious dataset that is large, open and general enough to cover several interesting use cases. ; Hyrum Anderson
DOI: 10.25919/5c183912b47c7
title: Climate Victoria: Minimum Temperature (3DS-TM; 9 second, approx. 250 m)

description: Daily (Jan 1981 - Jul 2014), monthly and mean monthly (1981-2010) surfaces of minimum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using trivariate splines (latitude, longitude and elevation) with partial dependence upon a topographic index of relative elevation and standardised night time MODIS land surface temperature.
DOI: 10.3886/e104781v1
title: May Your Drug Price Be Ever Green (Orange Book Project Dataset & Methodology)

description: Patents and exclusivities have become an increasingly important component in the “life cycle management” strategies that are employed by pharmaceutical companies to prolong the period of market monopoly for their drugs.<br><br>Presenting the first comprehensive study of evergreening, this study examines all pharmaceuticals in the U.S. the market between 2005 and 2015, collecting 160,000 data points to note every instance in which a company added a new patent or exclusivity. This study gathers patent and exclusivity information published in the “Orange Book,” which is a regular FDA publication containing information on approved drugs, their therapeutically equivalent generics, and the patents and exclusivities attached to approved drugs, among other drug-related data.<br>
DOI: 10.5281/zenodo.2372008
title: DWD European Weather

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.5281/zenodo.2372421
title: Formation of tropical anvil clouds by slow evaporation (manuscript data)

description: Cloud-resolving model output used in the manuscript "Formation of tropical anvil clouds by slow evaporation" by Seeley et al.
DOI: 10.5281/zenodo.2374149
title: Previsão de demandas em uma rede de postos de combustíveis, com o auxílio de séries temporais, métodos casuais e redes neurais artificiais

description: Dados e resultados relativos ao trabalho de conclusão de curso, concluído em 14 de Dezembro de 2018.
DOI: 10.5281/zenodo.2374150
title: Previsão de demandas em uma rede de postos de combustíveis, com o auxílio de séries temporais, métodos casuais e redes neurais artificiais

description: Dados e resultados relativos ao trabalho de conclusão de curso, concluído em 14 de Dezembro de 2018.
DOI: 10.17632/p9d9dy6sgx.1
title: Data for: Photoelectrocatalytic oxidation of methanol over RuO2-MnO2-Co3O4 supported porous anatase under visible light irradiation

description: Electronic Supporting Information
DOI: 10.17632/r7m8w79dt6.1
title: Data for: Cortical Thickness of Broca’s Area and Right Homologue Predict Grammar Learning Aptitude and Pitch Discrimination Proficiency

description: Background data, freesurfer subject repositories, and qdec table files used in Cortical Thickness of Broca’s Area and Right Homologue Predict Grammar Learning Aptitude and Pitch Discrimination Proficiency.
DOI: 10.17632/v6nfdxzd4y.1
title: Data for: Basin-scale land use impacts on world deltas: human vs natural forcings
DOI: 10.5281/zenodo.2374753
title: ModelcodeI3GG

description: The model code for the I3GG, which is recovery from the third invariant of the GOCE mission.
DOI: 10.7910/dvn/t89dk6/tfivet
title: Internaitonal Interactions_si.pdf

description: Supplementary Info
DOI: 10.17632/wbbtms63xn.1
title: Data for: How does City-Cluster High-Speed Rail Facilitate Regional Integration? Evidence from the Shanghai-Nanjing Corridor

description: In the tables in two separate excel files, reader will find two 22*22 matrixes demonstrating the monthly passenger flows of the 22 stations along the Hu-Ning intercity rail in November 2010 and in November 2015. Reader will also find passenger survey questionnaire results. The 301-km Hu-Ning C-HSR is the first rapid passenger-dedicated railway in the YRD. The three terminal stations of the Hu-Ning intercity rail are situated in Shanghai(Shanghai Station and Shanghai Hongqiao Station) and Nanjing (Nanjing Station), with 19 intermediate stations: Xianlin, Baohuashan, Zhenjiang, Dantu, Danyang, Changzhou, Qishuyan, Huishan, Wuxi, Wuxixinqu, Suzhouxinqu, Suzhou, Suzhouyuanqu, Yangchenghu, Kunshan, Huaqiao, Anting, Nanxiang, and Shanghaixi. The data was obtained from Shanghai Railway Bureau and collected and processed by the corresponding author. The surveys were conducted at waiting rooms in Kunshan and Suzhouyuanqu Stations and samples were drawn randomly. The survey included information on travelers (eg, income level, age, and employment status), journey information (eg, purpose of the trip, travel frequency, trip origin and destination, modes of connecting), and the time spent on each leg. A total of 468 valid questionnaires were collected.
DOI: 10.5281/zenodo.2374752
title: ModelcodeI3GG

description: The model code for the I3GG, which is recovery from the third invariant of the GOCE mission.
DOI: 10.14457/tu.the.2014.325
title: องค์ประกอบของเว็บไซต์ที่มีผลต่อความจงรักภักดีของลูกค้าผ่านการสร้างความพึงพอใจของลูกค้า: กรณีเว็บไซต์พาณิชย์อิเล็กทรอนิกส์แบบธุรกิจสู่ผู้บริโภคในประเทศไทย

description: การวิจัยครั้งนี้มีวัตถุประสงค์เพื่อศึกษาถึงองค์ประกอบของเว็บไซต์ที่มีผลต่อความพึงพอใจของลูกค้า ซึ่งส่งผลต่อความจงรักภักดีของลูกค้าบนเว็บไซต์พาณิชย์อิเล็กทรอนิกส์แบบธุรกิจสู่ผู้บริโภคในประเทศไทย โดยการนำองค์ประกอบของเว็บไซต์ทั้ง 8 ด้าน (8C Framework) มาทำการศึกษา งานวิจัยชินนี้เป็นงานวิจัยเชิงปริมาณ ใช้แบบสอบถาม (Questionnaire) เป็นเครื่องมือในการเก็บข้อมูลจากกลุ่มตัวอย่าง 273 คน ซึ่งเป็นกลุ่มคนที่เคยซื้อสินค้าผ่านเว็บไซต์พาณิชย์อิเล็กทรอนิกส์  และใช้การวิเคราะห์การถดถอย (Linear & Multiple Regression Analysis) ในการทดสอบสมมติฐาน ผลการวิจัยครั้งนี้พบว่า การสื่อสารเป็นปัจจัยที่มีผลต่อความพึงพอใจของลูกค้ามากที่สุด รองลงมาคือ การเชื่อมโยง ซึ่งในปัจจุบันร้านค้าออนไลน์ที่มีมากขึ้น ข้อมูลและผู้บริโภคจำนวนมากตามมานั้น การเล็งเห็นถึงความสำคัญในการจัดการเว็บไซต์ให้มีความเหมาะสมตรงตามความต้องการจึงเป็นสิ่งที่สำคัญงานวิจัยชิ้นนี้ให้ข้อเสนอแนะที่เป็นประโยชน์ต่อธุรกิจพาณิชย์อิเล็กทรอนิกส์ โดยเป็นแนวทางในการสร้างหรือปรับปรุงเว็บไซต์ให้ตรงตามความต้องการของลูกค้ามากขึ้น ทำให้ลูกค้าเกิดความพึงพอใจและการนำไปสู่ความจงรักภักดีของลูกค้าต่อไป