cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ljio0f/6mt5eh
title: r&p syntax.R

description: :unav
DOI: 10.7910/dvn/ljio0f/buhgqh
title: d2.RDS

description: data_file
DOI: 10.7910/dvn/ljio0f/pavjjn
title: d1.RDS

description: data_file
DOI: 10.7910/dvn/ljio0f/pdzkhd
title: d3.RDS

description: :unav
DOI: 10.7910/dvn/rgopks/kvz7ze
title: Questionaire Susenas 2000 Kor.doc

description: :unav
DOI: 10.7910/dvn/p81wok/47afdw
title: Klasifikasi Baku Lapangan Usaha 1997.xls

description: :unav
DOI: 10.7910/dvn/p81wok/66yvhh
title: Layout Susenas 2001 - Kor.xls

description: :unav
DOI: 10.7910/dvn/p81wok/9lf4jn
title: Klasifikasi Jabatan.xls

description: :unav
DOI: 10.7910/dvn/p81wok/eqw6bq
title: ssn01ki.dbf

description: :unav
DOI: 10.7910/dvn/p81wok/i9cth3
title: Kuesioner Susenas 2001-Kor.doc

description: :unav
DOI: 10.7910/dvn/p81wok/qtbvxn
title: ssn01kr.dbf

description: :unav
DOI: 10.21227/zxk5-gy98
title: Datasets for Multipath Clustering at 285 MHz and 5.3 GHz Bands Based on COST 2100 MIMO Channel Model

description: This dataset contains the whitened data of the COST2100 channel model. It consists of eight XLSX files namely: Indo_BI_LOS_Sing_white, Indo_B2_LOS_Sing_white, SemiUr_B1_LOS_Mult_white, SemiUr_B1_LOS_Sing_white, SemiUr_B1_NLOS_Sing_white, SemiUr_B2_LOS_Mult_white, SemiUr_B2_LOS_Sing_white, and SemiUr_B2_NLOS_Sing_white.  Indo_BI_LOS_Sing_white and Indo_B2_LOS_Sing_white have 24 sheets each while SemiUr_B1_LOS_Mult_white, SemiUr_B1_LOS_Sing_white, SemiUr_B1_NLOS_Sing_white, SemiUr_B2_LOS_Mult_white, SemiUr_B2_LOS_Sing_white, and SemiUr_B2_NLOS_Sing_white have 30 sheets each. All the sheets contain different number of rows but the same number of columns. The number of rows represents the number of multipaths and the nine columns represent the following: X_AOD_W (whitened x-component of the angle of departure), Y_AOD_W (whitened y-component of the angle of departure), Z_AOD_W (whitened z-component of the angle of departure),  X_AOA_W (whitened x-component of the angle of arrival), Y_AOA_W (whitened y-component of the angle of arrival), Z_AOA_W (whitened z-component of the angle of arrival), delay_W (whitened delay), rel_pow (multipath's relative power), and refclusID (reference cluster ID).
DOI: 10.7910/dvn/fxebsu/7ollcz
title: Ssn02kr.dbf

description: :unav
DOI: 10.7910/dvn/fxebsu/c53ogd
title: Layout Susenas 2002 - Kor.xls

description: :unav
DOI: 10.7910/dvn/fxebsu/yavk7z
title: Quest Susenas 2002 Kor.doc

description: :unav
DOI: 10.6073/pasta/5b7f2f112b513b1141eca415afd30934
title: CBS01 Capture records of (mainly) Grasshopper Sparrows on Konza Prairie

description: This dataset includes captures of mainly Grasshopper Sparrows (GRSP), but includes other songbirds. Each row pertains to an individual captured on a certain day. Individuals can repeat. Most captures include data on age, sex, head-bill, tarsus, wind chord, molt score, fat score, and mass. In many cases, a single feather was collected from each Grasshopper Sparrow for isotopic analyses, and when available, results of those data are included. Some individuals were measured for body composition (fat mass, lean mass, and body water) using a mobile Quantitative Magnetic Resonance (QMR) machine. Most individuals were bled in the field within 5 min of capture. The blood was chilled, centrifuged the same day, and plasma stored frozen for analyses of metabolite concentrations. Red blood cells were stored in lysis buffer for genotyping. All birds were banded with a USFWS band and adults were individually marked using a unique combination of 3 plastic colored leg bands. Birds captured as independent young or nestlings banded prior to fledge were only marked with the USFWS bands. All birds were released at the location of capture.
DOI: 10.6073/pasta/f848e3fae802d1050f619b5ec4b92482
title: CBS02 Nests of Grasshopper Sparrows on Konza Prairie

description: This data set contains data describing Grasshopper Sparrow nests. These nests were primarily found by rope dragging but also on surveys (see RI Survey Data Set), flushing birds during other activities, and via behavioral observations. We described nest contents and monitored nest fate via visits every 2-3 day and by placing an iButton placed in the center of the nest flush with the bottom of the nest cup and comparing temperature traces to a second iButton placed outside of the nest to determine the timing of nest failure and other metrics of incubation/brooding behavior. We compiled counts of partial egg loss, partial brood loss, and estimated causes of nest failure, comparing the timing of these events with KNZ-collected meteorological data to determine the temporal association between rainstorms and nest abandonment.
DOI: 10.7910/dvn/fxebsu/dtjf40
title: Ssn02ki.dbf

description: :unav
DOI: 10.7910/dvn/xmvtp5/9aupm8
title: Kuesioner Susenas 2003 Kor.doc

description: :unav
DOI: 10.7910/dvn/xmvtp5/cazmvc
title: ssn03ki.dbf

description: :unav
DOI: 10.7910/dvn/xmvtp5/rvjotp
title: ssn03kr.dbf

description: :unav
DOI: 10.7910/dvn/xmvtp5/zgqhwy
title: Layout Susenas 2003 Kor.xls

description: :unav
DOI: 10.6073/pasta/b3135870426fd0bc60856ea93317778d
title: CBS03 Grasshopper sparrow surveys: densities, reproductive index, and locations of marked individuals on Konza Prairie

description: Data on the location, identity, and reproductive index (Vickery, 1992 #5253) of Grasshopper Sparrows within 10-ha plots on 14 watersheds units on Konza and on 2 adjoining units on the Rannells Preserve. Each plot was surveyed every ~7-10 days. These surveys documented individual sparrow locations, and are used to calculate dispersal distances and territory densities.
DOI: 10.5281/zenodo.3247915
title: DWD European Weather 2

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: 10.6073/pasta/760df8bdb1ea7f0a4c386d2b8de9fed9
title: CBS04 Sweep sample data: prey estimates for Grasshopper Sparrows on Konza Prairie

description: This data set includes data on the contents of sweep samples. We collected sweeps in 2014 monthly in May, June, and July in 3 locations on each of the focal watersheds. Sweeps were X m long and centered at veg points. Data consist of information about the sampling events, and sample wet mass, edible mass (combined mass of selected orders listed below). Additionally, the dataset includes the number of individuals in each of a series of size categories, total N, and mass (in grams) of the following groups: Tettigoniidae, Acrididae, other Orthoptera, Gryllidae, Odonata, Ephemeroptera, Coleoptera, Hymenoptera, Lepidoptera, Arachnida, Hemiptera, Neuroptera, Diptera, Phasmatidae, Mantidae, and “other”.
DOI: 10.6073/pasta/97b02907b40c0b9d9783c03e582e7f63
title: CBS05 Estimates of vegetation structure and composition collected on Konza Prairie watersheds and on the nearby Rannell’s Preserve

description: Data set includes estimates of vegetation structure and composition collected during monthly sampling events on Konza Prairie watersheds and on the nearby Rannell’s Preserve. Vegetation data were collected from three randomly-selected locations were chosen randomly on each watershed; two from outside the 10-ha plot (see project abstract) and one inside the plot. We sampled vegetation on each watershed once a month, during May, June, and July. Additional vegetation data were collected from Grasshopper Sparrow nest sites within ~3 days of nests failing. We used 5 sets of Daubenmire frame measures to determine percent cover of major plant functional groups (at the center of the plot and 5 m from center at the 4 cardinal directions). We estimated visual obstruction by placing a Robel Pole in the middle, and 5 m from the middle of the plot in each of the 4 cardinal directions. For each pole placement, we stood 4 m away with eye 1 m above the ground in each of 4 directions, and counting the highest 5-cm segment not completely obscured by vegetation. At nests, we also estimated the slope and aspect in the center of each plot.
DOI: 10.5281/zenodo.3247648
title: Global Soil Moisture Agricultural Drought Index (SMADI)

description: <br>
This repository contains the global Soil Moisture Agricultural Drought Index (SMADI) spanning from June 2010 to December 2015 at fortnightly (bi-weekly) rate. The product is gridded in a 0.05deg Climate Modeling Grid.<br>
<br>
The data are provided in Matlab format (.mat). Each file is a 3600x7200 matrix size, where 3600 is the number of pixels in Latitude coordinates and 7200 to Longitude coordinates, both in the WGS84 system. The center-pixel coordinates are variables "Latitude" and "Longitude". No data values (NaN) correspond to pixels where the retrieval was not possible.<br>
<br>
<br>
SMADI is computed using satellite time series of MODIS Normalized Difference Vegetation Index (NDVI, computed from daily reflectances MOD09CMG v.6), MODIS Land Surface Temperature (LST, product MOD11C1 v.6), and SMOS BEC L3 soil moisture data v2.0 (which corresponds to SMOS L2 v.620, average of ascending and descending orbits). <br>
 <br>
The IGBP land cover (MODIS MOD12C1 product) is used prior to SMADI calculation to select only grassland and cropland/natural vegetation mosaic pixels as representative of the primary agro-ecosystems.
description: This study was supported by:
-The Spanish Ministry of Economy and Competitiveness, MINECO (Project AYA2012-39356-C05). 
-The Spanish Ministry of Science, Innovation and Universities (Projects ESP2015-67549-C3-3 and ESP2017-89463-C3-3-R)
-The Castilla y León Regional Government (Project SA007U16).
-The European Regional Development Fund (ERDF).
description: {"references": ["S\u00e1nchez, N.; Gonz\u00e1lez-Zamora, \u00c1.; Piles, M.; Mart\u00ednez-Fern\u00e1ndez, J. A New Soil Moisture Agricultural Drought Index (SMADI) Integrating MODIS and SMOS Products: A Case of Study over the Iberian Peninsula. Remote Sens. 8, 287, 2016.", "S\u00e1nchez, N.; Gonz\u00e1lez-Zamora,  \u00c1.; Mart\u00ednez-Fern\u00e1ndez, J.; Piles, M.; Pablos, M. Integrated remote sensing approach to global agricultural drought monitoring, Agricultural and Forest Meteorology, Vol 259, pp. 141-153, 2018.", "Pablos, M., Gonz\u00e1lez-Zamora, \u00c1., S\u00e1nchez, N. and Mart\u00ednez-Fern\u00e1ndez, J. (2018). Assessment of SMADI and SWDI agricultural drought indices using remotely sensed root zone soil moisture. Proceedings of the International Association of Hydrological Sciences (Proc. IAHS), 95, 1-12."]}
DOI: 10.24431/rw1k322
title: Marine mammal relative abundance, seasonal use locations, and use type data used in the creation of Audubon Alaska's Ecological Atlas of the Chukchi, Bering, and Beaufort Seas

description: This dataset contains a variety of spatial data types describing seasonal use locations, use types, and migration patters for marine mammals in the Bering, Chukchi, and Beaufort Seas. These datasets were used by staff at Audubon Alaska and Oceana to create the twenty maps displayed in 'Chapter 6: Mammals', in the 'Ecological Atlas of the Bering, Chukchi, and Beaufort Seas'. These maps display seasonal use areas; approximate range extents; haul out, rookery, forage and locations; and general migration patterns for polar bears, and for a variety of pinnipeds and cetaceans that occupy the Bering, Chukchi, and Beaufort Seas.

This dataset contains four zipped archives of spatial data and metadata and two summary files. The zip files are:
1. ArcticMarine2017_Public_Ch6Mammals.gdb.zip, compiled by Audubon Alaska staff and used to generate the maps in Chapter 6 of the Ecological Atlas. 
2. ch6_vector-4326, containing csv formatted vector data files along with metadata extracted from the geodatabase. 
3. ch6_raster, containing geotiff formatted raster data and metadata used in the maps in the Atlas but not included in the geodatabase.
4. ch6_shapefiles, containing updated versions of some of the vector or raster layers in the geodatabase, as delivered separately by Audubon, and without individual metadata records.

The summary files are: 
1. audubon_EABCBS_ch6_mammals_manifest.txt, listing all file path, size, and md5sum hash value for each file in each of the zip files, 
2. audubon_EABCBS_ch6_mammals_README.txt, providing basic, human-readable metadata about the dataset,
3. audubon_EABCBS_ch6_mammals_data_sources.pdf, listing the data sources used for each map in chapter 6 of the atlas, and 
4. audubon_EABCBS_data_sources_appendix.csv, listing the sources used for each spatial synthesis data product created by Audubon Alaska, used to generate the maps in chapter 6, and listed in the data sources pdf.

These files contain only the data used in the Atlas and deemed appropriate for public release. Certain data deemed sensitive were not included in these publicly available data archives.
DOI: 10.5286/isis.e.rb2000017
title: Measuring Radiation Effects on COTS Devices and Sensors

description: Performance degradation analysis of the sensors and embedded computing systems in the radiation-rich environment is a research area for nuclear robotics. In this perspective, a couple of experiments are proposed to capture the neutron-induced noise on the Raspberry Pi camera, Kinect camera, and ZYNQ FPGA. The experiments are designed to maintain a log of the data from the irradiated devices to a wide neutron fluence range. The captured data will be useful in modelling the device under test (DUT) performance degradation as the function of the neutron fluence. Such models can be useful for researchers planning similar deployments and for algorithms facilitating radiation robust operation. The degradation analysis requires periodic irradiation of the DUT from a high flux collimated neutron beam, and a 48-hour beamtime at the ChipIR facility is ideal to support the said need.
DOI: 10.5286/isis.e.rb2000017-1
title: Measuring Radiation Effects on COTS Devices and Sensors

description: Performance degradation analysis of the sensors and embedded computing systems in the radiation-rich environment is a research area for nuclear robotics. In this perspective, a couple of experiments are proposed to capture the neutron-induced noise on the Raspberry Pi camera, Kinect camera, and ZYNQ FPGA. The experiments are designed to maintain a log of the data from the irradiated devices to a wide neutron fluence range. The captured data will be useful in modelling the device under test (DUT) performance degradation as the function of the neutron fluence. Such models can be useful for researchers planning similar deployments and for algorithms facilitating radiation robust operation. The degradation analysis requires periodic irradiation of the DUT from a high flux collimated neutron beam, and a 48-hour beamtime at the ChipIR facility is ideal to support the said need.
DOI: 10.17632/p688pd4n6v.1
title: Data for: Cognitive aids and food choice: real-time calorie counters reduce calories ordered and correct biases in calorie estimates
DOI: 10.18739/a2ns0kx61
title: Contribution of the Greenland Ice Sheet to sea-level over the next millennium using Large Ensemble Simulations, final state in year 3007 part 2, 2008-3007

description: The Greenland Ice Sheet holds around 7.2 meters of sea-level equivalent. In recent decades rising atmosphere and ocean temperatures have led to an acceleration in mass loss, adding an average of about 0.5 millimeters per year to global mean sea-level between 1991 and 2015. Current ice margin recession in Greenland is led by the retreat of outlet glaciers, the large rivers of ice ending in narrow fjords that drain the ice sheet interior. Recent progress in measuring ice thickness is enabling models to reproduce the complex flow patterns found in outlet glaciers, a key step towards realistic projections. Here we pair an outlet glacier resolving ice sheet model with a comprehensive uncertainty quantification to estimate Greenland's contribution to sea-level over the next millennium under different climate forcings. We find that Greenland could contribute 5-33 centimeters to sea-level by 2100 and 11-155 centimeters by 2200, with discharge from outlet glaciers contributing 6-45% of the total mass loss. Our analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics, whereas uncertainties in ocean conditions play a minor role, particularly in the long term. We project that Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions. This dataset compilation contains the simulations for the manuscript "Contribution of the Greenland Ice Sheet to sea-level over the next millennium" prepared with the Parallel Ice Sheet Model (PISM). This dataset provides the final states at the year 3007 of the simulations that succesfully finished (some simulations did not converge) for the RCPs (Representative Concentration Pathways) 2.6, 4.5, and 8.5 for LES (Large Ensemble Simulation) ids 000-499.
DOI: 10.5281/zenodo.3247926
title: Dataset of "how to communicate when submitting patches: an Empirical Study of the Linux Kernel"

description: This repository includes the data of the paper "How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel".

It contains three parts:

1) Related online documents.

2) Original questionnaire of the survey.

3) Survey results.
DOI: 10.5281/zenodo.3247927
title: Dataset of "how to communicate when submitting patches: an Empirical Study of the Linux Kernel"

description: This repository includes the data of the paper "How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel".

It contains three parts:

1) Related online documents.

2) Original questionnaire of the survey.

3) Survey results.
DOI: 10.7910/dvn/9pnx49/2u1jqu
title: ssn04kr.dbf

description: :unav
DOI: 10.7910/dvn/9pnx49/3zq361
title: ssn04ki.dbf

description: :unav
DOI: 10.7910/dvn/9pnx49/huvs25
title: Layout Susenas 2004 kor - rmt.txt

description: :unav
DOI: 10.7910/dvn/9pnx49/l59o14
title: Kabupaten Susenas 2004.xls

description: :unav
DOI: 10.7910/dvn/9pnx49/lp3rxx
title: Layout Susenas 2004 kor - individu.txt

description: :unav
DOI: 10.7910/dvn/9pnx49/ycbdu1
title: Kuesioner Susenas 2004 Kor.doc

description: :unav
DOI: 10.7910/dvn/oysiwv/2nu4mi
title: LAYOUT25.xls

description: :unav
DOI: 10.7910/dvn/oysiwv/czxqgu
title: Kab Susenas 2005.xls

description: :unav
DOI: 10.7910/dvn/oysiwv/dsgewf
title: Layout SSN 2005 NAD (KOR).xls

description: :unav
DOI: 10.7910/dvn/oysiwv/ndxiqv
title: s05nad_rt.dbf

description: :unav
DOI: 10.7910/dvn/oysiwv/tt0jsv
title: ssn05ki.dbf

description: :unav
DOI: 10.7910/dvn/oysiwv/uglvdf
title: Layout SSN 05 NAD ID.txt

description: :unav
DOI: 10.7910/dvn/oysiwv/vtdktf
title: Layout Susenas 2005 Kor.xls

description: :unav
DOI: 10.14457/tu.the.2017.1731
title: คุณลักษณะของฟีเจอร์ (features) ของแอพพลิเคชั่นสังคมออนไลน์ธุรกิจร้านอาหารที่มีผลต่อการเลือกใช้ของผู้บริโภค

description: สถานการณ์ของธุรกิจร้านอาหารในปัจจุบันนั้นมีการแข่งขันค่อนข้างสูงทำให้ แอพพลิเคชั่นสังคมออนไลน์ร้านอาหารถูกนำมาใช้เป็นเครื่องมือทางการตลาด สื่อสารกับผู้บริโภค และเพื่อให้แอพพลิเคชั่นสังคมออนไลน์ร้านอาหารมีความน่าสนใจ แอพพลิเคชั่นจึงต้องนำเสนอคุณลักษณะของฟีเจอร์ (Features) ของแอพพลิเคชั่นสังคมออนไลน์ธุรกิจร้านอาหารในด้านที่ผู้บริโภคให้ความสำคัญงานวิจัยฉบับนี้ได้ศึกษา และ เปรียบเทียบระดับการให้ความสำคัญต่อกลยุทธ์คุณลักษณะของฟีเจอร์ (Features) ของผู้ใช้บริการแอพพลิเคชั่นสังคมออนไลน์ธุรกิจร้านอาหารที่มีลักษณะข้อมูลส่วนบุคคลที่แตกต่างกัน โดยงานวิจัยนี้เป็นการวิจัยในรูปแบบเชิงปริมาณ (Quantitative Research) เก็บรวบรวมข้อมูลโดยใช้แบบสอบถาม จำนวน 407 ชุด เลือกกลุ่มตัวอย่างแบบเฉพาะเจาะจง (Purposive Sampling) ซึ่งผู้ตอบแบบสอบถามที่ถูกเลือกนั้นจะเป็นผู้ที่เคยใช้แอพพลิเคชั่นสังคมออนไลน์ธุรกิจร้านอาหารที่อาศัยในเขตกรุงเทพมหานครและปริมณฑล แบ่งสัดส่วนจำนวนตามช่วงอายุต่างๆ จากนั้นข้อมูลจะถูกนำมาประมวลผลผ่านวิธีการทางสถิติ คือ ค่าร้อยละ ค่าเฉลี่ย ส่วนเบี่ยงเบนมาตรฐาน และ วิเคราะห์ความแปรปรวนทางเดียวในการทดสอบสมมติฐานโดยผลการวิจัยพบว่าผู้ตอบแบบสอบถามส่วนใหญ่เป็นเพศหญิง มีอายุ 18-24 ปี สถานภาพโสด  ระดับรายได้ต่อเดือน 20,001-30,000 บาท  ระดับการศึกษาสูงสุดที่ปริญญาตรี เป็นพนักงานบริษัทเอกชน ใช้บริการแอพพลิเคชั่นสังคมออนไลน์ธุรกิจร้านอาหาร 1-4 ครั้งต่อเดือน มีวัตถุประสงค์หลักในการใช้แอพพลิเคชั่นสื่อสังคมออนไลน์ร้านอาหารเพื่อค้นหาร้านอาหารในการรับประทานในขณะนั้นผู้ตอบแบบสอบถามให้ความสำคัญต่อกลยุทธ์คุณลักษณะของฟีเจอร์ (Features) ในด้านปัจจัยการสนับสนุนลูกค้า ปัจจัยความมีคุณภาพของข้อมูล และ ปัจจัยการออกแบบระดับมากที่สุด และ ให้ความสำคัญต่อกลยุทธ์คุณลักษณะของฟีเจอร์ (Features) ในด้านปัจจัยการปฏิสัมพันธ์ และ ปัจจัยการใช้งานระดับมากผลการทดสอบสมมติฐานพบว่าผู้ตอบแบบสอบถามที่มีอายุ ระดับรายได้ ระดับการศึกษา อาชีพ ความถี่และจุดประสงค์ในการใช้บริการแอพพลิเคชั่นสังคมออนไลน์ธุรกิจร้านอาหาร ที่แตกต่างกัน ให้ความสำคัญต่อกลยุทธ์คุณลักษณะของฟีเจอร์ (Features) ที่แตกต่างกันอย่างมีนัยสำคัญ แต่ในส่วนของผู้ตอบแบบสอบถามที่มีเพศและสถานภาพสมรสที่แตกต่างกัน ให้ความสำคัญต่อกลยุทธ์คุณลักษณะของฟีเจอร์ (Features) ที่ไม่แตกต่างกัน
DOI: 10.17632/hys85kmhx8.1
title: Data for: Unemployment and Social Exclusion

description: The files contain software for replication of the empirical analysis of the paper "Unemployment and Social Exclusion" based on the PASS-ADIAB 7515 data set (https://fdz.iab.de/en/FDZ_Individual_Data/PASS/PASS-ADIAB.aspx). Access to the data is possible via the Research Data Centre (FDZ) of the Federal Employment Agency at the Institute for Employment Research, Nuremberg, Germany (http://fdz.iab.de/en.aspx).
DOI: 10.7910/dvn/oysiwv/1f26wv
title: Layout SSN 05 NAD RT.txt

description: :unav
DOI: 10.7910/dvn/oysiwv/klzmmx
title: Ketrerangan variabel.xls

description: :unav
DOI: 10.7910/dvn/oysiwv/qf8vz0
title: ssn05kr.dbf

description: :unav
DOI: 10.7910/dvn/oysiwv/qnwmow
title: s05nad_ind.dbf

description: :unav
DOI: 10.7910/dvn/oysiwv/s8ddw2
title: kuesionerkor.pdf

description: :unav
DOI: 10.17632/8cj32pzb9d.1
title: Data for: Strain and vorticity analysis in the Zagros suture zone (W Iran): implications for Neo-Tethys post-collision events

description: The data used for calculating strain ellipsoid shape
DOI: 10.7910/dvn/puzoth/ac4amm
title: Layout 2006 ssn06.tab

description: :unav
DOI: 10.7910/dvn/puzoth/dkmrfx
title: ssn06kr.dbf

description: :unav
DOI: 10.7910/dvn/puzoth/qitqwz
title: Q KOR2006.pdf

description: :unav
DOI: 10.7910/dvn/puzoth/tnvjga
title: Kab Susenas 2006.xls

description: :unav
DOI: 10.5281/zenodo.3247731
title: Compilation of Large Spanish Unannotated Corpora

description: Compilation of open Large Spanish Unannotated Corpora with some post processing.

More details in: https://github.com/josecannete/spanish-corpora
DOI: 10.7910/dvn/lahcme/qn7iap
title: ssn07_ki_new.dbf

description: :unav
DOI: 10.7910/dvn/lahcme/wtiuz1
title: VSEN2007.K.pdf

description: :unav
DOI: 10.7910/dvn/puzoth/88cxwk
title: Prop Susenas 2006.xls

description: :unav
DOI: 10.7910/dvn/puzoth/zurqey
title: ssn06ki.dbf

description: :unav
DOI: 10.25345/c5ns8c
title: MassIVE MSV000083988 - Profiling the surfaceome identifies therapeutic targets for cells with hyperactive mTORC1 signaling
title: Aberrantly high mTORC1 signaling is a known driver of many cancers and human disorders, yet pharmacological inhibition of mTORC1 rarely confers durable clinical responses. To explore alternative therapeutic strategies, herein we conducted a proteomics survey to identify cell surface proteins upregulated by mTORC1. A comparison of the surfaceome from Tsc1-/- versus Tsc1+/+ mouse embryonic fibroblasts revealed 59 proteins predicted to be significantly overexpressed in Tsc1-/- cells. Further validation of the data in multiple mouse and human cell lines showed that mTORC1 signaling most dramatically induced the expression of the proteases neprilysin (NEP/CD10) and aminopeptidase N (APN/CD13). Functional studies showed that constitutive mTORC1 signaling sensitized cells to genetic ablation of NEP and APN, as well as the biochemical inhibition of APN. In summary, these data show that mTORC1 signaling plays a significant role in the constitution of the surfaceome, which in turn may present novel therapeutic strategies.
DOI: 10.7910/dvn/lahcme/f8texu
title: ssn07_kr_new.dbf

description: :unav
DOI: 10.7910/dvn/lahcme/ulxx2e
title: Layout Susenas 2007 KOR.xls

description: :unav