cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1/1ecvb0/xth4qn
title: DustOff-monthly-average_wrfout_d01_2012-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/y6vz4c
title: DustOff-monthly-standard-deviation_wrfout_d01_2010-08_12_std.nc
DOI: 10.7281/t1/1ecvb0/yyihzw
title: DustOff-monthly-average_wrfout_d01_2016-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/zewhtr
title: DustOff-monthly-average_wrfout_d01_2012-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/zqb5kb
title: DustOff-monthly-average_wrfout_d01_2016-08_06_mean.nc
DOI: 10.17632/c77sxxms9f.1
title: Brand Management Research Data

description: The brand management reseach & publication dataset, which was indexed by Scopus from 1968 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/c77sxxms9f.2
title: Brand Management Research Data (1968-2019)

description: The brand management reseach & publication dataset, which was indexed by Scopus from 1968 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/hxm3kny7rg.2
title: Imputing Away the Ladder

description: This dataset contains the data used for the figures, tables and regressions in our paper "Imputing Away the Ladder". They include both time-series (for all countries where available) for official GDP figures under different systems of national accounts (SNA 68, SNA 93 and SNA 2008), as well as time-series constructed in line with Basu and Foley's (2013) concept of Narrow-Measured Value-Added (NMVA) - that is, GDP excluding all sectors for which value-added had been imputed.
DOI: 10.17632/vtfkv8c3nw.1
title: MicroCT scan of iodine stained scorpion

description: Scorpion stained with iodine for visualization of soft tissues.
DOI: 10.5281/zenodo.3746612
title: Scraped Data BikeMI 2016

description: Scraped BikeMI (Milan, Italy, bike sharing) data, year 2016 CSV file fields: date_YYMMDDHHMM:LAT:LON:location_name:bikes:electrical:children:free_slots field separator is ":"
DOI: 10.5281/zenodo.3746624
title: Portatiles

description: Dataset con datos en bruto de ordenadores portátiles, extraído de la página web de MediaMarkt
DOI: 10.7281/t1/1ecvb0/0ip9gn
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-07_06_std.nc
DOI: 10.7281/t1/1ecvb0/6ooul9
title: DustOff-monthly-average_wrfout_d01_2012-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/7rpttg
title: DustOff-monthly-average_wrfout_d01_2016-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/avqdwk
title: DustOff-monthly-average_wrfout_d01_2016-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/c9llhv
title: DustOff-monthly-average_wrfout_d01_2016-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/dcgwyw
title: DustOff-monthly-average_wrfout_d01_2012-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/glpthk
title: DustOff-monthly-average_wrfout_d01_2012-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/hxgwk8
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-07_00_std.nc
DOI: 10.7281/t1/1ecvb0/iwn3rj
title: DustOff-monthly-average_wrfout_d01_2012-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/jynxef
title: DustOff-monthly-average_wrfout_d01_2012-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/mgvguo
title: DustOff-monthly-standard-deviation_wrfout_d01_2010-03_12_std.nc
DOI: 10.7281/t1/1ecvb0/mmk20t
title: DustOff-monthly-average_wrfout_d01_2016-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/nrdddo
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-06_12_std.nc
DOI: 10.7281/t1/1ecvb0/pmzr64
title: DustOff-monthly-standard-deviation_wrfout_d01_2010-03_00_std.nc
DOI: 10.7281/t1/1ecvb0/ppe979
title: DustOff-monthly-average_wrfout_d01_2012-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/qjn4vt
title: DustOff-monthly-average_wrfout_d01_2016-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/qq4blw
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-07_12_std.nc
DOI: 10.7281/t1/1ecvb0/uuumbf
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-07_18_std.nc
DOI: 10.7281/t1/1ecvb0/xvjkkj
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-06_00_std.nc
DOI: 10.7281/t1/1ecvb0/yfpxso
title: DustOff-monthly-average_wrfout_d01_2016-09_18_mean.nc
DOI: 10.17632/tyd59php8x.2
title: Free end flow influence on bistable flow past finite cylinders

description: Data result from careful measurements with hot wires in an aerodynamic channel and from flow visualization in a hydraulic to study the bistability phenomenon after pairs of finite cylinders with 25 and 32 mm diameter and aspect ratios of 3 and 4. Measurements were performed in the wake of single and side-by-side finite cylinders, with a sampling frequency of 1000 Hz and a low pass filter at 300 Hz. Each data series has 2^15 elements, corresponding to a time of 32.768 s. Data obtained from digital movies of the flow visualization experiments, used to determine the influence of the flow from the top of the cylinder on the bistable phenomenon, are 159.959 s long, with 160 elements (0.999Hz sampling frequency). Hot wire data are in form of velocity series, movie data in form of distance series. Pitch-to-diameter ratio for side-by-side cylinders was p/d = 1.26. The aerodynamic channel was made of acrylic, with a cross section of 0.147 m x 0.193 m. The flow velocity could be varied from 0 to 15 m/s, with a turbulence intensity of about 1%. The reference velocity, measured with a Pitot tube, and the cylinder diameter, defined the Reynolds number from Red = 2.0×10^4 to Re = 2.5×10^4. DANTEC StreamLine hot wire anemometer with two single hot wire was used. Data acquisition was made with a 16-bit A/D-board (NI 9215-A) with a USB interface using DANTEC StreamWare 3.4 software. Flow visualizations were made in a closed-circuit hydraulic channel with the same dimensions as the aerodynamic channel, with a flow rate from 1.66×10^-6 to 1.93×10^-3 m³/s, velocities of up to 0.068 m/s and turbulence intensity of 4%. The Reynolds number was 2.0×10^3. Data are in .txt format to be read by almost all software. 04-Velocity – non simultaneous 25-3D-25-4D-32-3D-32-4D.txt: Velocity series m/s x time s for : a) 25 mm h/d =3 (253D). b) 25 mm h/d=4 (254D). c) 32 mm h/d =3 (323D). d) 32 mm h/d=4 (324D). 05-Velocity –25-4D-Re25e4.txt: Velocity series m/s x time s for finite cylinder with 25 mm diameter, h/d =4 and Re = 2.5 x 104 Probe 1 – V1. 07-Velocity –25-3D-Re25e4.txt: Velocity series m/s x time s for finite cylinders with 25 mm diameter, h/d=3 and Re = 2.5 x 104 Probe 1 – V1. 10-Distance 25-4D 25-3D.txt: Distance mm x time s for 25 mm diameter cylinders with h/d = 4 (B254D) and 3 (B253D). 11-Velocity –32-4D-Re20e4-P1.txt: Velocity series m/s x time s for 32 mm diameter cylinders finite cylinders with h/d=4 and Re = 2.5 x 104. Probe 1 – V1. 12-Velocity –32-4D-Re20e4-P2.txt: Velocity series m/s x time s for for finite cylinders with h/d=4 and Re = 2.5 x 104 . Probe 2 – V2. . 14-Velocity –32-4D-Re25e4-P1.txt: Velocity series m/s x time s for finite cylinders with h/d=4 and Re = 2.5 x 104. Probe 1 – V1. 15-Velocity –32-4D-Re25e4-P2.txt: Velocity series m/s x time s for finite cylinders with h/d=4 and Re = 2.5 x 104. Probe 2 – V2. 17-Distance 32-4D 32-3D.txt: Series of distance mm x time s for 32 mm diameter cylinders with h/d = 4 (B324D ) and 3 (B323D).
DOI: 10.5281/zenodo.3746611
title: Scraped Data BikeMI 2016

description: Scraped BikeMI (Milan, Italy, bike sharing) data, year 2016 CSV file fields: date_YYMMDDHHMM:LAT:LON:location_name:bikes:electrical:children:free_slots field separator is ":"
DOI: 10.7281/t1/1ecvb0/1dmvz1
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-03_06_std.nc
DOI: 10.7281/t1/1ecvb0/1ighj8
title: DustOff-monthly-average_wrfout_d01_2016-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/3xwgij
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-08_06_std.nc
DOI: 10.7281/t1/1ecvb0/4er0ku
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-08_18_std.nc
DOI: 10.7281/t1/1ecvb0/aaiver
title: DustOff-monthly-average_wrfout_d01_2012-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/aunp0l
title: DustOff-monthly-average_wrfout_d01_2012-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/bfizfh
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-10_00_std.nc
DOI: 10.7281/t1/1ecvb0/dqarvt
title: DustOff-monthly-average_wrfout_d01_2012-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/dwqjjr
title: DustOff-monthly-average_wrfout_d01_2016-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/es3qtg
title: DustOff-monthly-average_wrfout_d01_2012-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ic3try
title: DustOff-monthly-average_wrfout_d01_2016-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ig05uw
title: DustOff-monthly-average_wrfout_d01_2012-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/igjt6q
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-06_18_std.nc
DOI: 10.7281/t1/1ecvb0/j5oizk
title: DustOff-monthly-average_wrfout_d01_2016-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/jemqd0
title: DustOff-monthly-average_wrfout_d01_2012-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/kqoj0p
title: DustOff-monthly-average_wrfout_d01_2012-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/q2nnqn
title: DustOff-monthly-average_wrfout_d01_2012-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/rhbkv3
title: DustOff-monthly-average_wrfout_d01_2013-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/tvzi0x
title: DustOff-monthly-average_wrfout_d01_2016-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/vo1gbz
title: DustOff-monthly-average_wrfout_d01_2016-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/wt0bqu
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-06_06_std.nc
DOI: 10.7281/t1/1ecvb0/wz3xkr
title: DustOff-monthly-average_wrfout_d01_2016-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/zacrbf
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-04_12_std.nc
DOI: 10.7281/t1/1ecvb0/zsa6s2
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-03_18_std.nc
DOI: 10.7281/t1/1ecvb0/zstnjj
title: DustOff-monthly-average_wrfout_d01_2012-10_06_mean.nc
DOI: 10.25345/c5gt4n
title: MassIVE MSV000085263 - Apigenen Fed Mice Fecal Metabolome
title: A collection of fecal samples from mice fed the flavone apigenin.
DOI: 10.5281/zenodo.3746633
title: Scraped Data BikeMI 2017

description: Scraped BikeMI (Milan, Italy, bike sharing) data, year 2017 CSV file fields: date_YYMMDDHHMM:LAT:LON:location_name:bikes:electrical:children:free_slots field separator is ":"
DOI: 10.7281/t1/1ecvb0/0raywi
title: DustOff-monthly-average_wrfout_d01_2016-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/0siem7
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-09_12_std.nc
DOI: 10.7281/t1/1ecvb0/1uox0t
title: DustOff-monthly-average_wrfout_d01_2016-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/2sbde6
title: DustOff-monthly-average_wrfout_d01_2016-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/6wi7ph
title: DustOff-monthly-average_wrfout_d01_2016-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/8fsfcl
title: DustOff-monthly-average_wrfout_d01_2016-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ai3set
title: DustOff-monthly-average_wrfout_d01_2013-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/cl1xxe
title: DustOff-monthly-average_wrfout_d01_2016-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/hogrpw
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-09_00_std.nc
DOI: 10.7281/t1/1ecvb0/jub1js
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-03_00_std.nc
DOI: 10.7281/t1/1ecvb0/k6i9my
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-04_00_std.nc
DOI: 10.7281/t1/1ecvb0/ma2dj8
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-05_18_std.nc
DOI: 10.7281/t1/1ecvb0/mwja4c
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-10_12_std.nc
DOI: 10.7281/t1/1ecvb0/nuf8oi
title: DustOff-monthly-average_wrfout_d01_2013-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/pigawp
title: DustOff-monthly-average_wrfout_d01_2013-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/rxvzbi
title: DustOff-monthly-average_wrfout_d01_2016-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/twbpcz
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-05_06_std.nc
DOI: 10.7281/t1/1ecvb0/u7ank4
title: DustOff-monthly-average_wrfout_d01_2013-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/uco1kx
title: DustOff-monthly-average_wrfout_d01_2013-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/vlu1uq
title: DustOff-monthly-average_wrfout_d01_2013-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/wwzj96
title: DustOff-monthly-average_wrfout_d01_2013-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/xjxi3r
title: DustOff-monthly-average_wrfout_d01_2013-04_06_mean.nc
DOI: 10.17632/dym3nfbpnm.1
title: Mexico and Colombia working-class households unpaid housework

description: This dataset contains information from the Colombian (2016-2017) Time-Use Survey (ENUT in Spanish) and Mexican (2014)Time-Use Survey. It contains unpaid housework and income information, at the household level, of "pure" working-class households, i.e., households with only waged workers.
DOI: 10.17632/ychb85d5k5.1
title: Entrainment data -- St. Mary River canal, Montana, 2002-2006

description: Raw data set for: Quantification and characterization of bull trout annually entrained in the major irrigation canal on the St. Mary River, Montana, USA, and identification of operations changes that would reduce that loss. This is an Excel data sheet with described data. Please contact the senior author if more information is required.
DOI: 10.5281/zenodo.3746632
title: Scraped Data BikeMI 2017

description: Scraped BikeMI (Milan, Italy, bike sharing) data, year 2017 CSV file fields: date_YYMMDDHHMM:LAT:LON:location_name:bikes:electrical:children:free_slots field separator is ":"
DOI: 10.7281/t1/1ecvb0/58ptbp
title: DustOn-monthly-average_wrfout_d01_2002-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/7mzhdb
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-03_12_std.nc
DOI: 10.7281/t1/1ecvb0/akxuc2
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-05_12_std.nc
DOI: 10.7281/t1/1ecvb0/ceqgrm
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-09_18_std.nc
DOI: 10.7281/t1/1ecvb0/cqhyt4
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-05_00_std.nc
DOI: 10.7281/t1/1ecvb0/dgttyv
title: DustOn-monthly-average_wrfout_d01_2002-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/e6rklq
title: DustOff-monthly-average_wrfout_d01_2013-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/elfahd
title: DustOff-monthly-average_wrfout_d01_2013-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/gvhxr3
title: DustOn-monthly-average_wrfout_d01_2002-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/hfkhk8
title: DustOn-monthly-average_wrfout_d01_2002-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/kdudj6
title: DustOff-monthly-average_wrfout_d01_2013-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/kx5dco
title: DustOff-monthly-average_wrfout_d01_2013-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/mbi9wy
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-04_18_std.nc
DOI: 10.7281/t1/1ecvb0/nleogg
title: DustOn-monthly-average_wrfout_d01_2002-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/simafc
title: DustOff-monthly-average_wrfout_d01_2013-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/trpq4a
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-10_18_std.nc
DOI: 10.7281/t1/1ecvb0/ugvoir
title: DustOff-monthly-average_wrfout_d01_2013-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/uiewqb
title: DustOff-monthly-average_wrfout_d01_2016-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/v2zuuk
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-04_06_std.nc
DOI: 10.7281/t1/1ecvb0/vmtjgk
title: DustOff-monthly-average_wrfout_d01_2013-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/wqoqke
title: DustOn-monthly-average_wrfout_d01_2002-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/xrv4uf
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-09_06_std.nc
DOI: 10.7281/t1/1ecvb0/yn0jyn
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-10_06_std.nc
DOI: 10.7281/t1/1ecvb0/yts63c
title: DustOn-monthly-average_wrfout_d01_2002-10_00_mean.nc
DOI: 10.17632/4yny9875fn.1
title: WellLogs4LayerPartition

description: there are logging data from 3 different oil wells, which can be used for lithology classification and automatic layering
DOI: 10.17632/84gkw9pzy3.1
title: SMART Reactor Decay Heat

description: Data for article, Decay heat analysis of system-integrated modular advanced reactor (SMART) using SCALE 6, Progress in Nuclear Energy, Volume 124, 2020, 103336, ISSN 0149-1970, https://doi.org/10.1016/j.pnucene.2020.103336 The energy generated from radionuclides in the form of decay heat in the SMART reactor in W/MTHM Radionuclides are classified according to ORIGEN-S libraries. Appendix 1A: Light elements and activation products Appendix 1B: Fission products Appendix 1C: Actinides
DOI: 10.17632/s3c56485nf.1
title: Data for: Attention and memory biases for aggressive information in college students with fragile high self-esteem

description: We included aggressive, negative emotional, and neutral words in attention and memory bias tasks. The data collected in the present study reveals the characteristics of attention and memory biases of individuals with fragile high self-esteem.
DOI: 10.17632/tht5yvh4r4.1
title: Examine This Report On Free Instagram Followers

description: I had been trying to get followers from a very long time nevertheless it wasn’t Doing work out for me. So I attempted the free version and received instantaneous followers and now I acquired the entire Model and they all over again got me large number of followers and that too the genuine follower who make me glimpse https://socialpave.com really amazing and awesome. I wished to do this and find out if it truly performs. Once I entered my particulars, I promptly obtained 10 followers. It did not just take much time whatsoever. Use a photograph editing Software like Aviary to crop your photos, add frames or outcomes, or to just commonly make your photographs pop!
DOI: 10.17632/w82ygwjy9c.1
title: Mobile phone data-extracted daily activities of rural residents in Chengdu, China

description: This dataset contains the characteristics of rural residents' daily activities in Chengdu, China, extracted from the mobile phone locations produced by China Unicom between April 12 and 18, 2017. The characteristics of daily activities are evaluated by grids of 1000m*1000m. The whole city is divided into 14,856 grids. The characteristics include the number of distinct destination grids visited by the residents of a grid (diversity), the average number of activities/movements conducted by the residents of a grid (number), and the standard distances of work and nonwork activities conducted by the residents of a grid. For privacy, the information of grids where less than ten residents are identified is omitted. We also include the centroid coordinates, distance to the Chengdu city, average slope, and proportion of urban workers of each grid.
DOI: 10.5281/zenodo.3746640
title: IO Islamic 1100. Ta'rîkh-i- Kashmîr, A Third History of Kashmîr

description: IO Islamic 1100. Ta’rîkh-i- Kashmîr, A Third History of Kashmîr
DOI: 10.5281/zenodo.3746641
title: IO Islamic 1100. Ta'rîkh-i- Kashmîr, A Third History of Kashmîr

description: IO Islamic 1100. Ta’rîkh-i- Kashmîr, A Third History of Kashmîr
DOI: 10.7281/t1/1ecvb0/33qbj3
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-08_00_std.nc
DOI: 10.7281/t1/1ecvb0/85tdwb
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-03_00_std.nc
DOI: 10.7281/t1/1ecvb0/87lyo4
title: DustOn-monthly-average_wrfout_d01_2002-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/dswcvw
title: DustOff-monthly-standard-deviation_wrfout_d01_2011-08_12_std.nc
DOI: 10.7281/t1/1ecvb0/exulgk
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-05_00_std.nc
DOI: 10.7281/t1/1ecvb0/fy708o
title: DustOn-monthly-average_wrfout_d01_2002-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/hadbjq
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-09_18_std.nc
DOI: 10.7281/t1/1ecvb0/ipxzvq
title: DustOff-monthly-average_wrfout_d01_2013-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/iuocis
title: DustOff-monthly-average_wrfout_d01_2013-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/kfswvo
title: DustOn-monthly-average_wrfout_d01_2002-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/lxcp5v
title: DustOff-monthly-average_wrfout_d01_2013-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/lzym3c
title: DustOn-monthly-average_wrfout_d01_2002-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/n3tzvj
title: DustOff-monthly-average_wrfout_d01_2013-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/njhcda
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-08_00_std.nc
DOI: 10.7281/t1/1ecvb0/oddopw
title: DustOff-monthly-average_wrfout_d01_2013-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ooxzqc
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-08_12_std.nc
DOI: 10.7281/t1/1ecvb0/px73dv
title: DustOn-monthly-average_wrfout_d01_2002-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/the8qw
title: DustOn-monthly-average_wrfout_d01_2002-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/tjz21q
title: DustOff-monthly-average_wrfout_d01_2013-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/tpdyce
title: DustOn-monthly-average_wrfout_d01_2002-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/u3lrew
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-09_06_std.nc
DOI: 10.7281/t1/1ecvb0/wdd4sn
title: DustOff-monthly-average_wrfout_d01_2013-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/wph2sa
title: DustOn-monthly-average_wrfout_d01_2002-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/z9l85p
title: DustOff-monthly-average_wrfout_d01_2013-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/zq2v93
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-05_12_std.nc
DOI: 10.7281/t1/1ecvb0/zshvpi
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-03_12_std.nc
DOI: 10.7281/t1/1ecvb0/zxk5mi
title: DustOn-monthly-average_wrfout_d01_2002-09_12_mean.nc
DOI: 10.17632/42zcf2fmym.1
title: An automatic sketching algorithm data for kinematic chains with multiple joints

description: The automatic sketching of kinematic chains (KCs) is an important part of the conceptual design of mechanisms, which is useful for the creative design of mechanisms.
DOI: 10.17632/6dcxrytc3r.2
title: Data for: Birth and evolution of the Central Asian proto-Paratethys Sea driven by Early Cretaceous tectonism, eustasy and Late Cretaceous cooling

description: Includes sedimentologic (description of facies, facies associations and depositional environments), magnetostratigraphic (mean paleomagnetic results chart), biostratigraphic (range charts for nannofossils and dinocysts) and basin analysis data from this study. See text and supporting information for details of the sedimentologic, magnetostratigraphic, and biostratigraphic analyses and discussion of the data.
DOI: 10.17632/gmfsw825gp.1
title: disaster competence of students

description: disaster nursing competence, anticipatory disaster stress, and the motivation for disaster engagement among undergraduate nursing students in Taiwan
DOI: 10.17632/p39nxv6hz2.1
title: Links to 54 teaching reflections written by 35 educators on ScienceNet.cn during COVID-19

description: As the COVID-19 pandemic marches around the globe, educators have to face a challenge that is teaching in a completely online environment. Educators in post-secondary settings in China have started teaching in a completely online environment since early February 2020, when we started collecting teaching reflections on ScienceNet.cn, which is the most visible professional blog service for educators in post-secondary settings in China. Till the end of March 2020, we have collected 54 teaching reflections written by 35 educators on ScienceNet.cn. The dataset contains the urls to the 54 teaching reflections.
DOI: 10.25345/c5c41p
title: MassIVE MSV000085264 - Undernourished Mouse Metabolomiccs
title: A collection of fecal, cecum and liver samples from gestational undernourished and postnatal undernourished mice compared to controls through the first 80 days of life.
DOI: 10.7281/t1/1ecvb0/2he4fp
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-10_06_std.nc
DOI: 10.7281/t1/1ecvb0/4vmt8n
title: DustOn-monthly-average_wrfout_d01_2002-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/6zxumt
title: DustOn-monthly-average_wrfout_d01_2002-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/a2egkk
title: DustOff-monthly-average_wrfout_d01_2014-07_12_mean.nc