cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fdkgcxjbtf.1
title: EEG_dataset_for_Assistive_Smart_Home

description: This data was obtained using Emotiv Epoc EEG head set. The dataset was filtered, pre processed and truncated for use.
DOI: 10.17909/t9cm3c
title: PanSTARRS Follow-up Of K2 Campaign 16 anf 17 Supernova Fields ("K2SNE")

description: Since 2014, NASA's K2 mission has used the Kepler space telescope to perform high-precision photometry of tens of thousands of stars and galaxies along the ecliptic in "Campaigns" lasting between 65 and 80 days. Most Campaigns were executed in the "backward facing" direction, where the spacecraft was pointed roughly away from Earth. The advantage of this orientation, given Kepler's Earth-trailing orbit, is that Earth never crosses the field of view during a Campaign. However, in this orientation, the Campaign's field of view is only visible from the ground during twilight. K2's 16th and 17th Campaigns were in the "forward facing" orientation to facilitate contemporaneous observations from Earth-based facilities over the entire duration of the campaigns. Numerous investigations executed during C16 and C17 were designed to specifically take advantage of the ability to simultaneously obtain complementary observations of K2 targets. PanSTARRS1 ("PS1") monitored these fields during the K2 campaigns in multiple filters. The primary motivation was to identify supernovae in the K2 fields rapidly enough to enable follow-up observations. Transients were identified by the PanSTARRS Transient Science Server within 12-24 hours of observations. Alerts were released via the Transient Name Server. The PS1 K2 supernova survey data are released here as a MAST HLSP. Please refer to the AAS Research Note (Dotson et al. 2018) for more information and relevant references to the PanSTARRS data, observations, processing, and survey strategies.
DOI: 10.7910/dvn/t4hba3/4kaeem
title: 161.gexf
DOI: 10.7910/dvn/t4hba3/8eqs2n
title: 548.gexf
DOI: 10.7910/dvn/t4hba3/9vri1r
title: 401.gexf
DOI: 10.7910/dvn/t4hba3/btowma
title: 319.gexf
DOI: 10.7910/dvn/t4hba3/h8x1ui
title: 295.gexf
DOI: 10.7910/dvn/t4hba3/i63wjb
title: 131.gexf
DOI: 10.7910/dvn/t4hba3/yunsdw
title: 498.gexf
DOI: 10.15785/sbgrid/531
title: X-Ray Diffraction data from SCCmec type IV encoded LP1413, source of  structure

description: SeMet data set
DOI: 10.5281/zenodo.1311783
title: 3D printed map for blind or visually impaired people

description: This data set is composed of three parts each having its proper origins, formats and rights. This data set was used to apply the methods of relief editing and image processing to facilitate the production of accessible documentation by having in hand an easy to use interface.
DOI: 10.5281/zenodo.1311784
title: 3D printed map for blind or visually impaired people

description: This data set is composed of three parts each having its proper origins, formats and rights. This data set was used to apply the methods of relief editing and image processing to facilitate the production of accessible documentation by having in hand an easy to use interface.
DOI: 10.7910/dvn/t4hba3/43w36a
title: 691.gexf
DOI: 10.7910/dvn/t4hba3/4ppw3m
title: 457.gexf
DOI: 10.7910/dvn/t4hba3/cptjvy
title: 665.gexf
DOI: 10.7910/dvn/t4hba3/dhnclg
title: 809.gexf
DOI: 10.7910/dvn/t4hba3/dkqjrt
title: 913.gexf
DOI: 10.7910/dvn/t4hba3/m3kgqp
title: 883.gexf
DOI: 10.7910/dvn/t4hba3/nooyox
title: 70.gexf
DOI: 10.7910/dvn/t4hba3/pgk5ei
title: 780.gexf
DOI: 10.7910/dvn/t4hba3/zezgmd
title: 361.gexf
DOI: 10.6073/pasta/a442d02adba8ae466268caa75b95cb59
title: Landscape Ecosystem Classification Soils and Vegetation Plots Data at the University of Michigan Biological Station, Pellston, Michigan from 1988 to 2001

description: Landscape ecosystems are a means of understanding the spatial patterns
  of and the functional interrelationships in forest ecosystems.
  Landscape ecosystem research is a multifactor, holistic approach to
  identifying, classifying, describing, and mapping terrain ecosystems.
  Abiotic and biotic factors are integrated in the field to distinguish
  repeating units similar in ecological structure and function.
  Landscape ecosystems are identified by simultaneous integration of
  physiographic, soil, and vegetation information. The more stable
  components--physiography and soil--largely determine local climate,
  and water and nutrient relations, and thus the interrelationships of
  physiography and soil form the foundation of a landscape ecosystem
  classification. Vegetation is seen as a phytometer that integrates the
  many abiotic factors and their interactions, and therefore reflects
  differences in ecosystem structure and function. When the three main
  ecosystem factors are analyzed simultaneously, one can perceive
  interrelationships that result in ecologically meaningful differences
  among segments of the ecosphere. Landscape ecosystems are spatial;
  they are volumetric, multi-dimensional segments of earth, whose
  components include soil, water, atmosphere, solar radiation, and
  biota. These segments can be identified, classified, described, and
  mapped at various scales.

      
  From the years of 1988 to 2001, various graduate students of Burton V.
  Barnes completed their masters thesis and dissertations in this
  pursuit. The attached data set is a culmination of these individual
  work. Each plot has measurements at various scales within the 10 by 30
  meet plot. A stratified random design was used to locate plot
  locations. The random design was stratified by major and minor
  landforms in the region. All trees within the plot where identified
  and dbh was measured. All individual shrubs where identified and
  abundance was counted within the entire plot. Soils pits locations for
  each plot where selected randomly within the vegetation plot. Soil
  pits where dug up to 3 meters and soil horizons where classified.
DOI: 10.7910/dvn/t4hba3/3wjmpo
title: 753.gexf
DOI: 10.7910/dvn/t4hba3/gycwph
title: 439.gexf
DOI: 10.7910/dvn/t4hba3/ly3mfr
title: 899.gexf
DOI: 10.7910/dvn/t4hba3/m3vp8c
title: 817.gexf
DOI: 10.7910/dvn/t4hba3/muhgky
title: 369.gexf
DOI: 10.7910/dvn/t4hba3/qoctbo
title: 266.gexf
DOI: 10.7910/dvn/t4hba3/wpu0e5
title: 550.gexf
DOI: 10.7910/dvn/t4hba3/8t4vp3
title: 786.gexf
DOI: 10.7910/dvn/t4hba3/kbijba
title: 533.gexf
DOI: 10.7910/dvn/t4hba3/kunzgp
title: 772.gexf
DOI: 10.7910/dvn/t4hba3/kwjr6f
title: 462.gexf
DOI: 10.7910/dvn/t4hba3/pmgt72
title: 410.gexf
DOI: 10.7910/dvn/t4hba3/vqgv0a
title: 652.gexf
DOI: 10.7910/dvn/t4hba3/vzx29w
title: 762.gexf
DOI: 10.3886/icpsr34751
title: Census of Population and Housing: Guam Demographic Profile Summary File, 2010
title: Archival Version

description: The Guam Demographic Profile Summary File contains data on population and housing subjects derived from questions on the 2010 Guam Census questionnaire.
Population subjects include age, sex, children ever born, citizenship status, disability status, educational attainment, ethnic origin or race, family type, grandparents as caregivers, group quarters population, health insurance coverage status, household type and relationship, employment status and subsistence activity, work experience, class of worker, industry, occupation, place of work, journey to work, travel time to work, language spoken at home and frequency of language usage, marital status, nativity, foreign-born status, year of entry, place of birth, parents' place of birth, earnings, income, remittances sent abroad, poverty status, residence in 2009, reason for moving, school enrollment, vocational training and veteran status. Housing subjects include air conditioning, battery-operated radio ownership, computer ownership, gross rent, internet service, kitchen facilities, mortgage status, number of rooms, number of bedrooms, occupancy status, occupants per room, plumbing facilities, selected monthly owner costs, sewage disposal, source of water, telephone service available, tenure, type of building materials, units in structure, vacancy status, value of home, vehicles available, year householder moved into unit and year structure built. The population and housing data are organized in 121 tables which are presented at three levels of observation: Guam as a whole, municipalities and census designated places. Every table cell is represented by a separate variable. The data are segmented into four data files. One data file contains geographic identification variables and the other three the population and housing variables.

Together with the data files, the Census Bureau prepared a codebook and additional documentation, a Microsoft Access database shell, and a HTML-based application for displaying the tables called the Interactive Summary Level Access and Navigation Database (ISLAND). ICPSR provides all of these components, except the codebook, in three ZIP archives. The first archive contains the data files, the second the database shell and additional documentation and the third contains ISLAND. The codebook is provided as a separate file.
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Data Files
						DS2: Microsoft Access Shell and Additional Documentation
						DS3: Interactive Summary Level Access and Navigation Database (ISLAND)
description: mail questionnaire
description: All persons and living quarters in Guam
description: 100 percent enumeration
DOI: 10.3886/icpsr34751.v1
title: Census of Population and Housing: Guam Demographic Profile Summary File, 2010
title: Version 1

description: The Guam Demographic Profile Summary File contains data on population and housing subjects derived from questions on the 2010 Guam Census questionnaire.
Population subjects include age, sex, children ever born, citizenship status, disability status, educational attainment, ethnic origin or race, family type, grandparents as caregivers, group quarters population, health insurance coverage status, household type and relationship, employment status and subsistence activity, work experience, class of worker, industry, occupation, place of work, journey to work, travel time to work, language spoken at home and frequency of language usage, marital status, nativity, foreign-born status, year of entry, place of birth, parents' place of birth, earnings, income, remittances sent abroad, poverty status, residence in 2009, reason for moving, school enrollment, vocational training and veteran status. Housing subjects include air conditioning, battery-operated radio ownership, computer ownership, gross rent, internet service, kitchen facilities, mortgage status, number of rooms, number of bedrooms, occupancy status, occupants per room, plumbing facilities, selected monthly owner costs, sewage disposal, source of water, telephone service available, tenure, type of building materials, units in structure, vacancy status, value of home, vehicles available, year householder moved into unit and year structure built. The population and housing data are organized in 121 tables which are presented at three levels of observation: Guam as a whole, municipalities and census designated places. Every table cell is represented by a separate variable. The data are segmented into four data files. One data file contains geographic identification variables and the other three the population and housing variables.

Together with the data files, the Census Bureau prepared a codebook and additional documentation, a Microsoft Access database shell, and a HTML-based application for displaying the tables called the Interactive Summary Level Access and Navigation Database (ISLAND). ICPSR provides all of these components, except the codebook, in three ZIP archives. The first archive contains the data files, the second the database shell and additional documentation and the third contains ISLAND. The codebook is provided as a separate file.
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Data Files
						DS2: Microsoft Access Shell and Additional Documentation
						DS3: Interactive Summary Level Access and Navigation Database (ISLAND)
description: mail questionnaire
description: All persons and living quarters in Guam
description: 100 percent enumeration
DOI: 10.7910/dvn/t4hba3/1r5on6
title: 129.gexf
DOI: 10.7910/dvn/t4hba3/bhbkky
title: 814.gexf
DOI: 10.7910/dvn/t4hba3/d743l6
title: 870.gexf
DOI: 10.7910/dvn/t4hba3/eolwjw
title: 452.gexf
DOI: 10.7910/dvn/t4hba3/inxbs1
title: 458.gexf
DOI: 10.7910/dvn/t4hba3/mtixwa
title: 107.gexf
DOI: 10.7910/dvn/t4hba3/xvwzci
title: 871.gexf
DOI: 10.7910/dvn/t4hba3/ydlbm8
title: 710.gexf
DOI: 10.5281/zenodo.1313709
title: Neonate Head Mesh For Electrical Impedance Tomography - Coarse

description: A head mesh for EIT made by https://github.com/EIT-team/Mesher for https://github.com/EIT-team/PEITS.

This archive is used for Travis CI
DOI: 10.7910/dvn/t4hba3/06v6c9
title: 432.gexf
DOI: 10.7910/dvn/t4hba3/2dmpll
title: 349.gexf
DOI: 10.7910/dvn/t4hba3/9uzeld
title: 494.gexf
DOI: 10.7910/dvn/t4hba3/b1m87x
title: 229.gexf
DOI: 10.7910/dvn/t4hba3/gq3tus
title: 770.gexf
DOI: 10.7910/dvn/t4hba3/he4bft
title: 849.gexf
DOI: 10.7910/dvn/t4hba3/tdknjl
title: 586.gexf
DOI: 10.7910/dvn/t4hba3/ts2gxa
title: 566.gexf
DOI: 10.7910/dvn/t4hba3/ywepm2
title: 124.gexf
DOI: 10.14272/klupeifgvjlrnq-uhfffaoysa-n
title: C17H17NO3
title: InChI=1S/C17H17NO3/c1-3-21-17(20)15-6-4-13(5-7-15)14-8-10-16(11-9-14)18-12(2)19/h4-11H,3H2,1-2H3,(H,18,19)

description: This dataset contains experimental data from a sample (, InChI=1S/C17H17NO3/c1-3-21-17(20)15-6-4-13(5-7-15)14-8-10-16(11-9-14)18-12(2)19/h4-11H,3H2,1-2H3,(H,18,19)).
      The datasets from the following experiments are included:
      
      IR
      
      Mass
      
      1H NMR
      
      13C NMR
DOI: 10.14272/klupeifgvjlrnq-uhfffaoysa-n/13cnmr
title: 13C NMR (, InChI=1S/C17H17NO3/c1-3-21-17(20)15-6-4-13(5-7-15)14-8-10-16(11-9-14)18-12(2)19/h4-11H,3H2,1-2H3,(H,18,19))

description: dataset for 13C NMR
DOI: 10.14272/klupeifgvjlrnq-uhfffaoysa-n/1hnmr
title: 1H NMR (, InChI=1S/C17H17NO3/c1-3-21-17(20)15-6-4-13(5-7-15)14-8-10-16(11-9-14)18-12(2)19/h4-11H,3H2,1-2H3,(H,18,19))

description: dataset for 1H NMR
DOI: 10.14272/klupeifgvjlrnq-uhfffaoysa-n/ir
title: IR (, InChI=1S/C17H17NO3/c1-3-21-17(20)15-6-4-13(5-7-15)14-8-10-16(11-9-14)18-12(2)19/h4-11H,3H2,1-2H3,(H,18,19))

description: dataset for IR
DOI: 10.14272/klupeifgvjlrnq-uhfffaoysa-n/mass
title: Mass (, InChI=1S/C17H17NO3/c1-3-21-17(20)15-6-4-13(5-7-15)14-8-10-16(11-9-14)18-12(2)19/h4-11H,3H2,1-2H3,(H,18,19))

description: dataset for Mass
DOI: 10.17632/sjz6nybccm.1
title: FT-IR, FT-Raman, UV-Visible Spectral Data for 4-Methoxysalicylaldehyde

description: The FTIR spectrum was recorded in the mid IR region on a Perkin Elmer- spectrum Two FT-IR/ATR spectrometer system with 0.50 cm-1 resolution at SAIF, St.Peters University, Chennai, Tamil Nadu, India. The FT-Raman spectrum was recorded in the mid IR region on a Bruker RFS-27 FT-Raman spectrometer with 2 cm-1 resolution using 1064 nm spectral line of Nd: YAG laser for excitation, operating at 100 mW power as excitation wave length at SAIF, IIT Madras, Chennai, Tamil Nadu, India. The electronic absorption spectrum was recorded on a Perkin Elmer-Lambda 35 UV Winlab V6.0 Spectrometer with a Bandwidth 0.5 - 4 nm (variable) in the UV-Visible region at SAIF, St.Peters University, Chennai, Tamil Nadu, India.
DOI: 10.17632/t9j9k384f3.1
title: Treatment Wetlands Aeration Efficiency: A Review

description: Data in the excel sheets relates to the paper "Treatment Wetlands Aeration Efficiency: A Review". It consists of data from 13 studies on constructed wetland aeration. In the tables, the necessary design parameters, water quality, and aeration data are given so one can reproduce the calculated values from the paper for oxygen consumption, oxygen consumption rate and aeration efficiency.
DOI: 10.7910/dvn/t4hba3/30evgm
title: 304.gexf
DOI: 10.7910/dvn/t4hba3/9rw8ff
title: 442.gexf
DOI: 10.7910/dvn/t4hba3/df7ytn
title: 787.gexf
DOI: 10.7910/dvn/t4hba3/ds9shp
title: 547.gexf
DOI: 10.7910/dvn/t4hba3/e51ecg
title: 484.gexf
DOI: 10.7910/dvn/t4hba3/evshlc
title: 276.gexf
DOI: 10.7910/dvn/t4hba3/idcovw
title: 76.gexf
DOI: 10.7910/dvn/t4hba3/x7o6h8
title: 47.gexf
DOI: 10.7910/dvn/t4hba3/3z3qop
title: 193.gexf
DOI: 10.7910/dvn/t4hba3/4dfczc
title: 884.gexf
DOI: 10.7910/dvn/t4hba3/dlguug
title: 74.gexf
DOI: 10.7910/dvn/t4hba3/fytae1
title: 153.gexf
DOI: 10.7910/dvn/t4hba3/hhzste
title: 831.gexf
DOI: 10.7910/dvn/t4hba3/ik9nvr
title: 525.gexf
DOI: 10.7910/dvn/t4hba3/m7ah6t
title: 17.gexf
DOI: 10.7910/dvn/t4hba3/tyyhpm
title: 354.gexf
DOI: 10.7910/dvn/t4hba3/wpaiov
title: 601.gexf
DOI: 10.14272/cparhibndsejgr-uhfffaoysa-n
title: methyl 2-acetamido-5-bromobenzoate
title: InChI=1S/C10H10BrNO3/c1-6(13)12-9-4-3-7(11)5-8(9)10(14)15-2/h3-5H,1-2H3,(H,12,13)

description: This dataset contains experimental data from a sample (methyl 2-acetamido-5-bromobenzoate, InChI=1S/C10H10BrNO3/c1-6(13)12-9-4-3-7(11)5-8(9)10(14)15-2/h3-5H,1-2H3,(H,12,13)).
      The datasets from the following experiments are included:
      
      1H NMR
      
      13C NMR
      
      IR
      
      Mass
DOI: 10.14272/cparhibndsejgr-uhfffaoysa-n/1hnmr
title: 1H NMR (methyl 2-acetamido-5-bromobenzoate, InChI=1S/C10H10BrNO3/c1-6(13)12-9-4-3-7(11)5-8(9)10(14)15-2/h3-5H,1-2H3,(H,12,13))

description: dataset for 1H NMR
DOI: 10.7910/dvn/t4hba3/3rb530
title: 629.gexf
DOI: 10.7910/dvn/t4hba3/cjglg3
title: 844.gexf
DOI: 10.7910/dvn/t4hba3/dsuc2u
title: 579.gexf
DOI: 10.7910/dvn/t4hba3/ea2bga
title: 889.gexf
DOI: 10.7910/dvn/t4hba3/lamgoc
title: 366.gexf
DOI: 10.7910/dvn/t4hba3/ohvkmm
title: 22.gexf
DOI: 10.7910/dvn/t4hba3/p1unns
title: 846.gexf
DOI: 10.7910/dvn/t4hba3/z94n9e
title: 782.gexf
DOI: 10.14272/cparhibndsejgr-uhfffaoysa-n/13cnmr
title: 13C NMR (methyl 2-acetamido-5-bromobenzoate, InChI=1S/C10H10BrNO3/c1-6(13)12-9-4-3-7(11)5-8(9)10(14)15-2/h3-5H,1-2H3,(H,12,13))

description: dataset for 13C NMR
DOI: 10.14272/cparhibndsejgr-uhfffaoysa-n/ir
title: IR (methyl 2-acetamido-5-bromobenzoate, InChI=1S/C10H10BrNO3/c1-6(13)12-9-4-3-7(11)5-8(9)10(14)15-2/h3-5H,1-2H3,(H,12,13))

description: dataset for IR
DOI: 10.14272/cparhibndsejgr-uhfffaoysa-n/mass
title: Mass (methyl 2-acetamido-5-bromobenzoate, InChI=1S/C10H10BrNO3/c1-6(13)12-9-4-3-7(11)5-8(9)10(14)15-2/h3-5H,1-2H3,(H,12,13))

description: dataset for Mass
DOI: 10.7910/dvn/t4hba3/5zzicn
title: 262.gexf
DOI: 10.7910/dvn/t4hba3/9btr4i
title: 254.gexf
DOI: 10.7910/dvn/t4hba3/atfjbg
title: 45.gexf
DOI: 10.7910/dvn/t4hba3/gmmzlb
title: 101.gexf
DOI: 10.7910/dvn/t4hba3/isnyrz
title: 204.gexf
DOI: 10.7910/dvn/t4hba3/jomboi
title: 83.gexf
DOI: 10.7910/dvn/t4hba3/jvn24z
title: 555.gexf
DOI: 10.7910/dvn/t4hba3/rrjfmv
title: 5.gexf
DOI: 10.7910/dvn/t4hba3/wxu64w
title: 308.gexf
DOI: 10.7910/dvn/t4hba3/z8yhmx
title: 678.gexf
DOI: 10.7910/dvn/t4hba3/4c3qjv
title: 138.gexf
DOI: 10.7910/dvn/t4hba3/axgr3w
title: 69.gexf
DOI: 10.7910/dvn/t4hba3/ckuczl
title: 113.gexf
DOI: 10.7910/dvn/t4hba3/dk9df1
title: 358.gexf
DOI: 10.7910/dvn/t4hba3/k5zqop
title: 701.gexf
DOI: 10.7910/dvn/t4hba3/thksg8
title: 532.gexf
DOI: 10.7910/dvn/t4hba3/xjphqy
title: 220.gexf
DOI: 10.7910/dvn/t4hba3/zo7rnm
title: 465.gexf
DOI: 10.7910/dvn/t4hba3/aewxg4
title: 768.gexf
DOI: 10.7910/dvn/t4hba3/deepaw
title: 166.gexf
DOI: 10.7910/dvn/t4hba3/eygvmo
title: 260.gexf
DOI: 10.7910/dvn/t4hba3/fw3fny
title: 176.gexf
DOI: 10.7910/dvn/t4hba3/jlr7im
title: 602.gexf
DOI: 10.7910/dvn/t4hba3/og5j4v
title: 87.gexf
DOI: 10.7910/dvn/t4hba3/tmzk5y
title: 739.gexf
DOI: 10.7910/dvn/t4hba3/vljjlv
title: 227.gexf
DOI: 10.7910/dvn/t4hba3/zghp95
title: 872.gexf
DOI: 10.7910/dvn/t4hba3/9xdqtg
title: 785.gexf
DOI: 10.7910/dvn/t4hba3/iy5tj6
title: 197.gexf
DOI: 10.7910/dvn/t4hba3/jzaslp
title: 396.gexf
DOI: 10.7910/dvn/t4hba3/mwtprk
title: 456.gexf
DOI: 10.7910/dvn/t4hba3/s5dycl
title: 6.gexf
DOI: 10.7910/dvn/t4hba3/sc6vmt
title: 733.gexf
DOI: 10.7910/dvn/t4hba3/xw6glw
title: 732.gexf
DOI: 10.7910/dvn/t4hba3/z2twli
title: 688.gexf
DOI: 10.7910/dvn/t4hba3/1waf8j
title: 482.gexf
DOI: 10.7910/dvn/t4hba3/gmrga7
title: 742.gexf
DOI: 10.7910/dvn/t4hba3/hqxnmk
title: 521.gexf
DOI: 10.7910/dvn/t4hba3/lkcd8q
title: 825.gexf
DOI: 10.7910/dvn/t4hba3/q4vz8p
title: 760.gexf
DOI: 10.7910/dvn/t4hba3/yaaxk6
title: 819.gexf
DOI: 10.7910/dvn/t4hba3/yglkwm
title: 843.gexf
DOI: 10.7910/dvn/t4hba3/31jopv
title: 178.gexf
DOI: 10.7910/dvn/t4hba3/6sldxu
title: 21.gexf
DOI: 10.7910/dvn/t4hba3/7peeks
title: 23.gexf
DOI: 10.7910/dvn/t4hba3/8g1311
title: 901.gexf
DOI: 10.7910/dvn/t4hba3/bjr45q
title: 195.gexf
DOI: 10.7910/dvn/t4hba3/jbyhge
title: 36.gexf
DOI: 10.18169/papdeottx04423
title: Verfahren zur Plausibilisierung eines Tankfuellstandsgebers
DOI: 10.18169/papdeottx04424
title: Method to oeconomicallly introduce optical bypassing
DOI: 10.18169/papdeottx04425
title: Lever Assembly - NEBS
DOI: 10.18169/papdeottx04426
title: Gesicherte quasi-interaktive Zugriffsprozedur auf Daten eines Telekommunikationsnetzes ueber Internet und WAP-Browser
DOI: 10.7910/dvn/t4hba3/aydmzy
title: 517.gexf
DOI: 10.7910/dvn/t4hba3/bdzpty
title: 162.gexf
DOI: 10.7910/dvn/t4hba3/clvjsh
title: 631.gexf
DOI: 10.7910/dvn/t4hba3/dqww8r
title: 200.gexf
DOI: 10.7910/dvn/t4hba3/khdlbk
title: 142.gexf
DOI: 10.7910/dvn/t4hba3/ly4c9z
title: 253.gexf
DOI: 10.7910/dvn/t4hba3/vqielh
title: 407.gexf
DOI: 10.7910/dvn/t4hba3/xagfpi
title: 187.gexf
DOI: 10.7910/dvn/t4hba3/xr12zd
title: 511.gexf
DOI: 10.17632/rxwfb3tysd.1
title: Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H) 2017 shared task

description: This data accompanies the following publication: Title: Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H) 2017 shared task Journal: Journal of the American Medical Informatics Association (JAMIA) The evaluation data (in addition to the training data) was used for the SMM4H-2017 shared tasks, co-located with AMIA-2017 (Washington DC).
DOI: 10.18169/papdeottx04427
title: Bedienungsfreundlicher Objektivschutz einer Kamera in einem Mobiltelefon in Schieberbauweise
DOI: 10.18169/papdeottx04428
title: Einbringung von Markierungsstoffen in galvanisch hergestellten MCrAIY-Schichten zur Online-Detektion von abrasivem und oxidativem Schichtabtrag sowie zur Versagensvorhersage
DOI: 10.18169/papdeottx04429
title: Apparat zum manuellen oder quasi-manuellen Laserschweissen
DOI: 10.18169/papdeottx04430
title: Optimierte Netzfilter fuer aktive, dreiphasige PWM-Netzgleichrichter
DOI: 10.18169/papdeottx04431
title: Bestimmung krankhafter Wirbelsaeulenkruemmungen, einer Laengendifferenz der unteren Extremitaeten oder eines Beckenschiefstandes mit Hilfe der MRT
DOI: 10.18169/papdeottx04432
title: Individuelle Gestaltung einer Warteschleife waehrend eines Telefongespraechs
DOI: 10.18169/papdeottx04433
title: Energiespeicher auf Basis von Ultracap-Modulen und deren Symmetrierung
DOI: 10.18169/papdeottx04434
title: Multiband / wideband transceiver with separated TX and RX antenna and car-kit anntenna output
DOI: 10.18169/papdeottx04435
title: Metallfreie, voll organische Diode
DOI: 10.18169/papdeottx04436
title: Dynamische Frequenzallokation fuer asymmetrisches FDD
DOI: 10.7910/dvn/t4hba3/fa0kfd
title: 455.gexf
DOI: 10.7910/dvn/t4hba3/gp9bue
title: 42.gexf
DOI: 10.7910/dvn/t4hba3/hnlfns
title: 265.gexf
DOI: 10.7910/dvn/t4hba3/l2jiir
title: 818.gexf
DOI: 10.7910/dvn/t4hba3/tvlaa5
title: 805.gexf
DOI: 10.7910/dvn/t4hba3/viuvlh
title: 186.gexf
DOI: 10.7910/dvn/t4hba3/whvig8
title: 143.gexf
DOI: 10.17632/t2kr5b4965.1
title: Database, weights and biases

description: Database of stacking fault energies in austenitic stainless steels alloys and neural network weights and biases.
DOI: 10.18169/papdeottx04437
title: Neues Wuchtkonzept fuer Kurzschlusslaeufer aus Aluminium-Druckguss
DOI: 10.18169/papdeottx04438
title: Pyro-mechanisches Umformen von Metallen
DOI: 10.18169/papdeottx04439
title: Verhinderung von ungewollter Motorleistung aufgrund einer Anreicherung von Kohlenwasserstoffen in der Kurbelgehaeuseentlueftung beim Dieselmotor
DOI: 10.18169/papdeottx04440
title: Call Completion on Pre-Defined Time (and Date optional) CCDT
DOI: 10.18169/papdeottx04441
title: Bekanntgabe eines Operator-Wechsels mittels SMS