cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1478971
title: Sunspotter - 14 Years Of Soho/Mdi

description: Second dataset based on automated detections produced by SMART [1] with data between May 1996 and August 2010 and classifications by volunteers through the zooniverse's Sunspotter project.<br>
Volunteers had to choose the most complex active region of a pair based on a random selection of the least classified images. Unlike the first round [2], all active regions were scaled to have the same size. Attempting therefore to remove the bias produced by the differences on sizes.

The dataset is composed of five files:


	lookup_timesfits.csv: lists the filenames and the date of the data acquisition.
	lookup_properties.csv: lists the properties about the active region observed in each frame to be classified. Some of the properties as measured by SMART [1]
	classifications.csv: lists each classification made by the volunteers.
	rankings.csv: lists the final ranking on complexity.
	users_links.csv: cross identifiers of users between dataset 2 (this one) and dataset 1 [2].


The score provided on the rankings file follows the Elo rating system. However, a new score following other selection mechanism is possible using the data available on the classification file.

Though the user's information has been removed, the classifications keep an index to differentiate classifications made by different users.

Some software to ingest the tables into a sqlite database and to obtain some preliminary results are available on GitHub.

<br>
[1]: DOI: 10.1016/j.asr.2010.06.024

[2]: DOI: 10.5281/zenodo.1478966
description: {"references": ["Higgins et al. (2011). Solar magnetic feature detection and tracking for space weather monitoring. DOI: 10.1016/j.asr.2010.06.024", "Higgins et al. (2018). Sunspotter - All-Clear dataset. DOI: 10.5281/zenodo.1478966"]}
DOI: 10.5281/zenodo.1478972
title: Sunspotter - 14 Years Of Soho/Mdi

description: Second dataset based on automated detections produced by SMART [1] with data between May 1996 and August 2010 and classifications by volunteers through the zooniverse's Sunspotter project.<br>
Volunteers had to choose the most complex active region of a pair based on a random selection of the least classified images. Unlike the first round [2], all active regions were scaled to have the same size. Attempting therefore to remove the bias produced by the differences on sizes.

The dataset is composed of five files:


	lookup_timesfits.csv: lists the filenames and the date of the data acquisition.
	lookup_properties.csv: lists the properties about the active region observed in each frame to be classified. Some of the properties as measured by SMART [1]
	classifications.csv: lists each classification made by the volunteers.
	rankings.csv: lists the final ranking on complexity.
	users_links.csv: cross identifiers of users between dataset 2 (this one) and dataset 1 [2].


The score provided on the rankings file follows the Elo rating system. However, a new score following other selection mechanism is possible using the data available on the classification file.

Though the user's information has been removed, the classifications keep an index to differentiate classifications made by different users.

Some software to ingest the tables into a sqlite database and to obtain some preliminary results are available on GitHub.

<br>
[1]: DOI: 10.1016/j.asr.2010.06.024

[2]: DOI: 10.5281/zenodo.1478966
description: {"references": ["Higgins et al. (2011). Solar magnetic feature detection and tracking for space weather monitoring. DOI: 10.1016/j.asr.2010.06.024", "Higgins et al. (2018). Sunspotter - All-Clear dataset. DOI: 10.5281/zenodo.1478966"]}
DOI: 10.6073/pasta/70ffc487b16dbf983795aaf21ff87ef1
title: Digital Elevation Model (DEM) raster layer for interior Alaska

description: This is a raster file in .e00 file that has a number of values that represent a range of elevations across Interior Alaska.
DOI: 10.7910/dvn/jeeqln/3nh2ic
title: 58-5_0194.dcm
DOI: 10.7910/dvn/jeeqln/7ni7it
title: 58-5_0020.dcm
DOI: 10.7910/dvn/jeeqln/aewqts
title: 58-5_0021.dcm
DOI: 10.7910/dvn/jeeqln/egtskf
title: 58-5_0187.dcm
DOI: 10.7910/dvn/jeeqln/fiqhcv
title: 58-1_0062.dcm
DOI: 10.7910/dvn/jeeqln/ifkffj
title: 58-1_0060.dcm
DOI: 10.7910/dvn/jeeqln/ocncrs
title: 58-1_0220.dcm
DOI: 10.7910/dvn/jeeqln/yfepcy
title: 58-1_0170.dcm
DOI: 10.7910/dvn/rnw3cy/ct0qwb
title: 46-1_0188.dcm
DOI: 10.7910/dvn/rnw3cy/hot02a
title: 46-1_0054.dcm
DOI: 10.7910/dvn/rnw3cy/k4kn8i
title: 46-1_0167.dcm
DOI: 10.7910/dvn/jeeqln/brz3zu
title: 58-1_0115.dcm
DOI: 10.7910/dvn/jeeqln/dsbsjw
title: 58-1_0121.dcm
DOI: 10.7910/dvn/jeeqln/fgijx4
title: 58-5_0091.dcm
DOI: 10.7910/dvn/jeeqln/kvxdyq
title: 58-5_0078.dcm
DOI: 10.7910/dvn/jeeqln/lx1xbd
title: 58-1_0158.dcm
DOI: 10.7910/dvn/jeeqln/nmfbkx
title: 58-5_0029.dcm
DOI: 10.7910/dvn/jeeqln/pbt5ad
title: 58-5_0006.dcm
DOI: 10.7910/dvn/jeeqln/ppjaeo
title: 58-1_0136.dcm
DOI: 10.7910/dvn/jeeqln/qxtsg1
title: 58-1_0237.dcm
DOI: 10.7910/dvn/rnw3cy/078uom
title: 46-5_0078.dcm
DOI: 10.7910/dvn/rnw3cy/5k6bfm
title: 46-1_0172.dcm
DOI: 10.7910/dvn/rnw3cy/75orbs
title: 46-1_0065.dcm
DOI: 10.7910/dvn/rnw3cy/b3wsy3
title: 46-1_0118.dcm
DOI: 10.7910/dvn/rnw3cy/bhwvd1
title: 46-1_0184.dcm
DOI: 10.7910/dvn/rnw3cy/qhzy7n
title: 46-5_0043.dcm
DOI: 10.7910/dvn/rnw3cy/xhtj6d
title: 46-1_0024.dcm
DOI: 10.7910/dvn/jeeqln/3mbs7f
title: 58-1_0040.dcm
DOI: 10.7910/dvn/jeeqln/80tqh7
title: 58-5_0134.dcm
DOI: 10.7910/dvn/jeeqln/gzgq2n
title: 58-5_0083.dcm
DOI: 10.7910/dvn/jeeqln/igzwbz
title: 58-1_0161.dcm
DOI: 10.7910/dvn/jeeqln/kjxpkz
title: 58-5_0103.dcm
DOI: 10.7910/dvn/jeeqln/rl8bv6
title: 58-5_0058.dcm
DOI: 10.7910/dvn/jeeqln/uezdnz
title: 58-5_0157.dcm
DOI: 10.7910/dvn/jeeqln/xscrzb
title: 58-5_0170.dcm
DOI: 10.7910/dvn/rnw3cy/2ogqfj
title: 46-1_0205.dcm
DOI: 10.7910/dvn/rnw3cy/3jcoxb
title: 46-5_0049.dcm
DOI: 10.7910/dvn/rnw3cy/75nq8z
title: 46-5_0093.dcm
DOI: 10.7910/dvn/rnw3cy/9mawub
title: 46-1_0146.dcm
DOI: 10.7910/dvn/rnw3cy/gsmwhf
title: 46-1_0128.dcm
DOI: 10.7910/dvn/rnw3cy/ijgp6f
title: 46-5_0238.dcm
DOI: 10.7910/dvn/rnw3cy/lhykxg
title: 46-1_0228.dcm
DOI: 10.7910/dvn/rnw3cy/vctapv
title: 46-5_0228.dcm
DOI: 10.7910/dvn/jeeqln/awz5n4
title: 58-5_0223.dcm
DOI: 10.7910/dvn/jeeqln/dosnvg
title: 58-1_0165.dcm
DOI: 10.7910/dvn/jeeqln/ilpkiu
title: 58-5_0176.dcm
DOI: 10.7910/dvn/jeeqln/lhqqdr
title: 58-1_0099.dcm
DOI: 10.7910/dvn/jeeqln/lwlkcg
title: 58-1_0182.dcm
DOI: 10.7910/dvn/jeeqln/m7lj9n
title: 58-1_0089.dcm
DOI: 10.7910/dvn/jeeqln/s825k5
title: 58-5_0214.dcm
DOI: 10.7910/dvn/jeeqln/wblum4
title: 58-5_0220.dcm
DOI: 10.7910/dvn/jeeqln/yekv2k
title: 58-5_0041.dcm
DOI: 10.7910/dvn/rnw3cy/c2tbmm
title: 46-1_0019.dcm
DOI: 10.7910/dvn/rnw3cy/efpoen
title: 46-1_0164.dcm
DOI: 10.7910/dvn/rnw3cy/fhlseu
title: 46-5_0047.dcm
DOI: 10.7910/dvn/rnw3cy/ghjezm
title: 46-1_0218.dcm
DOI: 10.7910/dvn/rnw3cy/lziafn
title: 46-5_0001.dcm
DOI: 10.7910/dvn/rnw3cy/sresab
title: 46-1_0059.dcm
DOI: 10.7910/dvn/rnw3cy/wxyxvz
title: 46-5_0029.dcm
DOI: 10.7910/dvn/rnw3cy/xqvahm
title: 46-1_0074.dcm
DOI: 10.7910/dvn/rnw3cy/zrtzsg
title: 46-1_0034.dcm
DOI: 10.7910/dvn/jeeqln/c5gcum
title: 58-1_0141.dcm
DOI: 10.7910/dvn/jeeqln/gpleui
title: 58-1_0058.dcm
DOI: 10.7910/dvn/jeeqln/gwi5kh
title: 58-1_0020.dcm
DOI: 10.7910/dvn/jeeqln/j5pfys
title: 58-5_0229.dcm
DOI: 10.7910/dvn/jeeqln/m6xg0w
title: 58-5_0213.dcm
DOI: 10.7910/dvn/jeeqln/rf6pwf
title: 58-1_0079.dcm
DOI: 10.7910/dvn/jeeqln/vlyxa0
title: 58-5_0177.dcm
DOI: 10.7910/dvn/jeeqln/xkvvib
title: 58-1_0223.dcm
DOI: 10.7910/dvn/jeeqln/zrxa4e
title: 58-1_0052.dcm
DOI: 10.7910/dvn/rnw3cy/2knmhi
title: 46-5_0146.dcm
DOI: 10.7910/dvn/rnw3cy/4yfxsf
title: 46-1_0194.dcm
DOI: 10.7910/dvn/rnw3cy/5ttiig
title: 46-1_0125.dcm
DOI: 10.7910/dvn/rnw3cy/8gngpn
title: 46-5_0063.dcm
DOI: 10.7910/dvn/rnw3cy/bq3k8v
title: 46-5_0199.dcm
DOI: 10.7910/dvn/rnw3cy/csqphm
title: 46-1_0004.dcm
DOI: 10.7910/dvn/rnw3cy/dmosuq
title: 46-1_0208.dcm
DOI: 10.7910/dvn/rnw3cy/h4ztsk
title: 46-5_0042.dcm
DOI: 10.7910/dvn/rnw3cy/iab0qe
title: 46-5_0000.dcm
DOI: 10.7910/dvn/rnw3cy/igstas
title: 46-1_0163.dcm
DOI: 10.7910/dvn/rnw3cy/kdssyv
title: 46-5_0094.dcm
DOI: 10.7910/dvn/rnw3cy/py7msr
title: 46-1_0062.dcm
DOI: 10.7910/dvn/rnw3cy/rkrrcz
title: 46-5_0135.dcm
DOI: 10.7910/dvn/rnw3cy/tebmx8
title: 46-1_0094.dcm
DOI: 10.7910/dvn/rnw3cy/w1u6fd
title: 46-5_0151.dcm
DOI: 10.7910/dvn/rnw3cy/wkkaks
title: 46-5_0103.dcm
DOI: 10.7910/dvn/jeeqln/1utslm
title: 58-5_0179.dcm
DOI: 10.7910/dvn/jeeqln/5fi7un
title: 58-5_0085.dcm
DOI: 10.7910/dvn/jeeqln/6unj9o
title: 58-1_0153.dcm
DOI: 10.7910/dvn/jeeqln/giltgo
title: 58-5_0087.dcm
DOI: 10.7910/dvn/jeeqln/hnnpdk
title: 58-1_0044.dcm
DOI: 10.7910/dvn/jeeqln/kkllrr
title: 58-1_0012.dcm
DOI: 10.7910/dvn/jeeqln/or3tm4
title: 58-1_0219.dcm
DOI: 10.7910/dvn/jeeqln/ouj7sw
title: 58-5_0005.dcm
DOI: 10.7910/dvn/rnw3cy/9bfh9y
title: 46-1_0132.dcm
DOI: 10.7910/dvn/rnw3cy/dmpzjp
title: 46-1_0082.dcm
DOI: 10.7910/dvn/rnw3cy/gfkac1
title: 46-1_0015.dcm
DOI: 10.7910/dvn/rnw3cy/judcn7
title: 46-5_0176.dcm
DOI: 10.7910/dvn/rnw3cy/kad1uu
title: 46-1_0105.dcm
DOI: 10.7910/dvn/rnw3cy/keegez
title: 46-5_0216.dcm
DOI: 10.7910/dvn/rnw3cy/n820gl
title: 46-5_0230.dcm
DOI: 10.7910/dvn/rnw3cy/nni3zy
title: 46-5_0035.dcm
DOI: 10.7910/dvn/rnw3cy/xgxe21
title: 46-1_0047.dcm
DOI: 10.7910/dvn/rnw3cy/zp80u4
title: 46-1_0099.dcm
DOI: 10.5281/zenodo.1477843
title: Accompanying dataset for: "Flow and detailed 3D morphodynamic data from laboratory experiments of fluvial dike breaching"

description: This dataset accompanies the manuscrpit "Flow and detailed 3D morphodynamic data from laboratory experiments of fluvial dike breaching" submitted to Scientific Data.
DOI: 10.5281/zenodo.1477844
title: Accompanying Dataset For: "Flow And Detailed 3D Morphodynamic Data From Laboratory Experiments Of Fluvial Dike Breaching"

description: This dataset accompanies the manuscrpit "Flow and detailed 3D morphodynamic data from laboratory experiments of fluvial dike breaching" submitted to Scientific Data.
DOI: 10.6073/pasta/c9fe97a4d378285baef755b9c1925a9b
title: Analysis of vegetation distribution in interior Alaska and sensitivity to climate change using a logistic regression approach

description: All data are used in the following manuscript which is in prep
Analysis of vegetation distribution in interior Alaska and sensitivity to climate change using a logistic regression approach
Calef et al.
DOI: 10.7910/dvn/jeeqln/2uzts9
title: 58-1_0248.dcm
DOI: 10.7910/dvn/jeeqln/7miu5l
title: 58-5_0067.dcm
DOI: 10.7910/dvn/jeeqln/bo7xtm
title: 58-5_0225.dcm
DOI: 10.7910/dvn/jeeqln/hm9bsb
title: 58-5_0098.dcm
DOI: 10.7910/dvn/jeeqln/ippaer
title: 58-5_0192.dcm
DOI: 10.7910/dvn/jeeqln/lg9tm4
title: 58-5_0244.dcm
DOI: 10.7910/dvn/jeeqln/tp81xf
title: 58-5_0142.dcm
DOI: 10.7910/dvn/jeeqln/zmf1ws
title: 58-5_0195.dcm
DOI: 10.7910/dvn/rnw3cy/48bbyb
title: 46-5_0040.dcm
DOI: 10.7910/dvn/rnw3cy/4blatc
title: 46-5_0211.dcm
DOI: 10.7910/dvn/rnw3cy/855pwb
title: 46-1_0148.dcm
DOI: 10.7910/dvn/rnw3cy/9hwupo
title: 46-5_0038.dcm
DOI: 10.7910/dvn/rnw3cy/atc2g2
title: 46-5_0112.dcm
DOI: 10.7910/dvn/rnw3cy/eh989c
title: 46-1_0223.dcm
DOI: 10.7910/dvn/rnw3cy/enztv9
title: 46-1_0103.dcm
DOI: 10.7910/dvn/rnw3cy/ho80jb
title: 46-1_0104.dcm
DOI: 10.7910/dvn/rnw3cy/sdo0se
title: 46-1_0042.dcm
DOI: 10.7910/dvn/rnw3cy/soe89r
title: 46-1_0187.dcm
DOI: 10.7910/dvn/rnw3cy/tcyzob
title: 46-1_0192.dcm
DOI: 10.7910/dvn/rnw3cy/us5f0q
title: 46-5_0185.dcm
DOI: 10.7910/dvn/rnw3cy/wdl9ks
title: 46-5_0090.dcm
DOI: 10.5258/soton/d0702
title: Dataset for Flexible 2.4 GHz Node for Body Area Networks with a Compact High-Gain Planar Antenna

description: Dataset for the Paper titled "Flexible 2.4 GHz Node for Body Area Networks with a Compact High-Gain Planar Antenna", in the IEEE Antennas and Wireless Propagation Letters.
Also related to: Wagih, M., Wei, Y., Yong, S., & Beeby, S. (2018). Connecting and powering flexible IoT, an insole case study. Poster session presented at Arm Research Summit 2018, Cambridge, United Kingdom.
DOI: 10.7910/dvn/jeeqln/1cztde
title: 58-5_0160.dcm
DOI: 10.7910/dvn/jeeqln/5pwmeq
title: 58-1_0191.dcm
DOI: 10.7910/dvn/jeeqln/5xpiry
title: 58-5_0172.dcm
DOI: 10.7910/dvn/jeeqln/grjqo1
title: 58-5_0121.dcm
DOI: 10.7910/dvn/jeeqln/iez7xt
title: 58-1_0249.dcm
DOI: 10.7910/dvn/jeeqln/lpigyv
title: 58-1_0190.dcm
DOI: 10.7910/dvn/jeeqln/utdpmj
title: 58-1_0246.dcm
DOI: 10.7910/dvn/jeeqln/xyfk12
title: 58-1_0204.dcm
DOI: 10.7910/dvn/rnw3cy/1h9aa7
title: 46-5_0221.dcm
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title: 46-1_0068.dcm
DOI: 10.7910/dvn/rnw3cy/cct6c6
title: 46-1_0183.dcm
DOI: 10.7910/dvn/rnw3cy/kjzknt
title: 46-1_0095.dcm
DOI: 10.7910/dvn/rnw3cy/laujqp
title: 46-1_0098.dcm
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title: 46-1_0111.dcm
DOI: 10.7910/dvn/rnw3cy/r9afoa
title: 46-1_0199.dcm
DOI: 10.7910/dvn/jeeqln/03tq4w
title: 58-1_0181.dcm
DOI: 10.7910/dvn/jeeqln/6sg2o6
title: 58-5_0046.dcm
DOI: 10.7910/dvn/jeeqln/azz8bu
title: 58-5_0071.dcm
DOI: 10.7910/dvn/jeeqln/bmpfof
title: 58-1_0039.dcm
DOI: 10.7910/dvn/jeeqln/dixgjk
title: 58-5_0092.dcm
DOI: 10.7910/dvn/jeeqln/i9iqs4
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DOI: 10.7910/dvn/jeeqln/qw4mzw
title: 58-5_0099.dcm
DOI: 10.7910/dvn/jeeqln/zy3wpg
title: 58-1_0176.dcm
DOI: 10.7910/dvn/jeeqln/zyhdey
title: 58-5_0003.dcm
DOI: 10.7910/dvn/rnw3cy/noea4h
title: 46-1_0077.dcm
DOI: 10.7910/dvn/rnw3cy/nsd6bh
title: 46-5_0232.dcm
DOI: 10.7910/dvn/rnw3cy/thhb3u
title: 46-5_0012.dcm
DOI: 10.7910/dvn/rnw3cy/twetw4
title: 46-1_0083.dcm
DOI: 10.7910/dvn/rnw3cy/xaa0bk
title: 46-1_0020.dcm
DOI: 10.7910/dvn/rnw3cy/77fuct
title: 46-5_0031.dcm
DOI: 10.7910/dvn/rnw3cy/enqm3v
title: 46-5_0243.dcm
DOI: 10.7910/dvn/rnw3cy/nsiqfl
title: 46-5_0165.dcm
DOI: 10.7910/dvn/rnw3cy/uhxt1n
title: 46-1_0033.dcm
DOI: 10.7910/dvn/rnw3cy/3gotgx
title: 46-5_0144.dcm
DOI: 10.7910/dvn/rnw3cy/gjhmsj
title: 46-1_0181.dcm
DOI: 10.7910/dvn/rnw3cy/k8gktx
title: 46-5_0100.dcm
DOI: 10.7910/dvn/rnw3cy/lrte2u
title: 46-1_0115.dcm
DOI: 10.7910/dvn/rnw3cy/vwkaqw
title: 46-1_0220.dcm
DOI: 10.7910/dvn/rnw3cy/w0hvxv
title: 46-5_0033.dcm
DOI: 10.7910/dvn/rnw3cy/bijgdu
title: 46-5_0048.dcm
DOI: 10.7910/dvn/rnw3cy/iqspqu
title: 46-5_0109.dcm
DOI: 10.7910/dvn/rnw3cy/rmqgt8
title: 46-1_0009.dcm
DOI: 10.7910/dvn/wj5mqz/xjm29f
title: Daily weather data for Glazoue (Benin) from 1980 to 2010.xls
DOI: 10.7910/dvn/ydqdjh/x7eayf
title: Dictionary.xls
DOI: 10.7910/dvn/ydqdjh/ytsnwm
title: Daily weather data for Fada N'gourma (Burkina Faso) from 1980 to 2010.xls
DOI: 10.6073/pasta/739a78fabf92d768f0fa77d8d6671e3a
title: Tree regeneration after fire: Delta 1994 burn surveys, pre-fire stem counts and basal areas, for black spruce

description: Data for this study were collected in 2001 and 2002 by Jill Johnstone (University of Alaska Fairbanks) and Eric Kasischke (University of Maryland). Sites were located within the perimeter of the 1994 burn southeast of Delta Junction Alaska, USA, bordering the Alaska Highway to the North and the Gerstle River to the West. Sites were selected from satellite classifications prepared by Eric Kasischke to represent different levels of burn severity and post-fire vegetation canopy greenness (NDVI). Site selection was constrained by road access, and only areas where all trees had been killed by the fire were selected.

At each site, a central point was located in an area of visually homogeneous vegetation. Five parallel transects, each 50 m long, were laid out as follows:

1) the first transect started at the central point and followed a randomly-selected compass direction,

2) two additional transects were established parallel to the first, but at a random distance from the central transect up to 25 m distant.

Vegetation was sampled in a 2-m wide belt centered on each transect, and soil samples were made at intervals along the transect line. Vegetation measurements included:

a) basal diameters of all pre-fire trees greater than 1.3 m in height,

b) counts of all post-fire tree seedlings, and

c) basal diameters of tree seedlings and willows, measured in a randomly chosen 5x2 m portion of each transect.

General notes were made on visual percent cover of different vegetation growth forms at the site. Destructive measurements of tree seedlings and willows made in 2001 were used to develop allometric equations to predict dry biomass from basal diameter. Measurements of soil organic layer depth were made at 5 m intervals with the use of a spade to excavate small chunks of sod. At one randomly-selected sample point per transect, a 10x10 cm sample of the organic layer was collected for bulk density measurements. Bulk density samples were dried in a 60degC oven for 48 hours and then weighed. Information on the soil profile to 50-100 cm depth was collected from a single soil pit at the site.

The purpose of the study was to document variations in post-fire tree establishment and woody biomass accumulation that could be related to variations in fire severity or pre-fire vegetation characteristics. Data from the study have not yet been published as of 2003.

Contains pre-fire stem counts and basal areas, for black spruce (Picea mariana) only.
DOI: 10.7910/dvn/rnw3cy/pzdtk0
title: 46-1_0161.dcm
DOI: 10.7910/dvn/rnw3cy/xewfth
title: 46-5_0062.dcm
DOI: 10.7910/dvn/wj5mqz/rmthkd
title: Dictionary.xls
DOI: 10.7910/dvn/rnw3cy/bfdssk
title: 46-5_0102.dcm
DOI: 10.7910/dvn/rnw3cy/e59nbn
title: 46-1_0234.dcm
DOI: 10.7910/dvn/rnw3cy/j15gdt
title: 46-1_0149.dcm
DOI: 10.7910/dvn/rnw3cy/wozr9d
title: 46-5_0056.dcm
DOI: 10.5281/zenodo.1478973
title: Vrdigitizer Comparison Data

description: Datasets comparing performance of VRDigitizer to other EEG electrode digitization approaches.
DOI: 10.5281/zenodo.1478974
title: Vrdigitizer Comparison Data

description: Datasets comparing performance of VRDigitizer to other EEG electrode digitization approaches.
DOI: 10.7910/dvn/rnw3cy/daweog
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DOI: 10.7910/dvn/rnw3cy/stvylf
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DOI: 10.7910/dvn/rnw3cy/8hbbhd
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DOI: 10.7910/dvn/rnw3cy/cdqw2w
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DOI: 10.7910/dvn/rnw3cy/cmfgvd
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DOI: 10.7910/dvn/rnw3cy/2znvlg
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DOI: 10.7910/dvn/rnw3cy/94kyqh
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DOI: 10.7910/dvn/rnw3cy/qf9tuq
title: 46-5_0200.dcm
DOI: 10.7910/dvn/rnw3cy/4xe57z
title: 46-5_0073.dcm
DOI: 10.7910/dvn/rnw3cy/eszpwx
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DOI: 10.7910/dvn/rnw3cy/14nuzm
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DOI: 10.7910/dvn/rnw3cy/8vwsnp
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DOI: 10.7910/dvn/rnw3cy/m6nzfc
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DOI: 10.7910/dvn/rnw3cy/l4xcwa
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DOI: 10.7910/dvn/rnw3cy/ybqeqw
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DOI: 10.7910/dvn/rnw3cy/zht4sl
title: 46-5_0137.dcm
DOI: 10.7910/dvn/rnw3cy/fnox3r
title: 46-5_0208.dcm
DOI: 10.7910/dvn/rnw3cy/uszzk3
title: 46-5_0020.dcm
DOI: 10.7910/dvn/rnw3cy/y6txbo
title: 46-1_0102.dcm
DOI: 10.7910/dvn/vwgjhe/ukueie
title: Daily weather data for Dori (Burkina Faso) from 1980 to 2010.xls
DOI: 10.7910/dvn/lo8gl5/0tr93e
title: Daily weather data for Djougou (Benin) from 1980 to 2010.xls
DOI: 10.7910/dvn/rnw3cy/alpyht
title: 46-5_0214.dcm
DOI: 10.7910/dvn/rnw3cy/dapfdp
title: 46-1_0241.dcm
DOI: 10.7910/dvn/rnw3cy/htbxco
title: 46-1_0023.dcm
DOI: 10.7910/dvn/rnw3cy/ky9qio
title: 46-1_0000.dcm
DOI: 10.7910/dvn/rnw3cy/naxicl
title: 46-1_0120.dcm
DOI: 10.7910/dvn/rnw3cy/nybalh
title: 46-5_0186.dcm
DOI: 10.7910/dvn/rnw3cy/zrminv
title: 46-5_0006.dcm
DOI: 10.7910/dvn/rnw3cy/bewlzj
title: 46-1_0171.dcm
DOI: 10.7910/dvn/rnw3cy/fume8b
title: 46-1_0169.dcm
DOI: 10.7910/dvn/rnw3cy/hpsg3f
title: 46-5_0241.dcm
DOI: 10.7910/dvn/rnw3cy/iyowtr
title: 46-5_0150.dcm
DOI: 10.7910/dvn/rnw3cy/qgirzf
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DOI: 10.7910/dvn/rnw3cy/qv2bxs
title: 46-5_0014.dcm
DOI: 10.7910/dvn/rnw3cy/t6bcg6
title: 46-1_0147.dcm
DOI: 10.15479/at:ista:0113
title: Fluorescence lifetime analysis of FLIM X16 TCSPC data

description: Script to perform a simple exponential lifetime fit of a ROI on time stacks acquired with a FLIM X16 TCSPC detector (+example data)
DOI: 10.7910/dvn/rnw3cy/dbdboe
title: 46-5_0119.dcm
DOI: 10.7910/dvn/rnw3cy/ejyive
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DOI: 10.7910/dvn/rnw3cy/fautbp
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DOI: 10.7910/dvn/rnw3cy/fqo2ld
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DOI: 10.7910/dvn/rnw3cy/nlp3gk
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DOI: 10.7910/dvn/rnw3cy/tjt2bw
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DOI: 10.7910/dvn/rnw3cy/vdeiyr
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DOI: 10.7910/dvn/rnw3cy/wiqu2j
title: 46-1_0021.dcm
DOI: 10.7910/dvn/mjqvzo/7t7z8e
title: Daily AgMERRA weather data for Djibo (Burkina Faso) from 1980 to 2010.xls
DOI: 10.7910/dvn/rnw3cy/80rflo
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DOI: 10.7910/dvn/rnw3cy/bltgfb
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DOI: 10.7910/dvn/rnw3cy/d9gw2r
title: 46-5_0183.dcm
DOI: 10.7910/dvn/rnw3cy/hvh3xp
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DOI: 10.7910/dvn/rnw3cy/q0aa16
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DOI: 10.7910/dvn/rnw3cy/w7u9yj
title: 46-5_0219.dcm
DOI: 10.7910/dvn/rnw3cy/ylwjat
title: 46-1_0075.dcm
DOI: 10.7910/dvn/rnw3cy/b1aqv2
title: 46-1_0067.dcm
DOI: 10.7910/dvn/rnw3cy/vwbrj5
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DOI: 10.7910/dvn/rnw3cy/ykbihl
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DOI: 10.7910/dvn/rnw3cy/ta5h6u
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DOI: 10.7910/dvn/rnw3cy/ux5xme
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DOI: 10.7910/dvn/rnw3cy/jfc2rr
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DOI: 10.7910/dvn/rnw3cy/ocjl8o
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DOI: 10.7910/dvn/rnw3cy/yt7hrh
title: 46-5_0077.dcm
DOI: 10.7910/dvn/7ghfwb/wso9o0
title: Daily weather data for Parakou (Benin) from 1980 to 2010.xls
DOI: 10.7910/dvn/rnw3cy/oqapnb
title: 46-5_0107.dcm
DOI: 10.7910/dvn/rnw3cy/q9nie6
title: 46-5_0193.dcm
DOI: 10.15129/3501dfb4-3498-479b-ae93-ffedd17120c9
title: Review and Analysis of Skills in the Digital Health Sector

description: Review and analysis of skills required by the digital health sector in Scotland, the available education and training opportunities and identifying gaps in the skills and education provision.
DOI: 10.7910/dvn/rnw3cy/uotskv
title: 46-1_0044.dcm
DOI: 10.7910/dvn/rnw3cy/xaaxdh
title: 46-5_0173.dcm
DOI: 10.7910/dvn/rnw3cy/lbibin
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DOI: 10.7910/dvn/rnw3cy/ogpxhn
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DOI: 10.7910/dvn/rnw3cy/xvpjdv
title: 46-1_0113.dcm
DOI: 10.7910/dvn/gtbqe6/p363mm
title: Daily weather data for Boulsa (Burkina Faso) from 1980 to 2010.xls
DOI: 10.7910/dvn/rnw3cy/3rezdq
title: 46-1_0166.dcm
DOI: 10.7910/dvn/rnw3cy/8iwzfg
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DOI: 10.7910/dvn/rnw3cy/9j3zlo
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DOI: 10.7910/dvn/rnw3cy/guneeg
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DOI: 10.7910/dvn/rnw3cy/mypbxc
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DOI: 10.7910/dvn/rnw3cy/q4ezay
title: 46-5_0217.dcm
DOI: 10.17632/247dbmwnhz.1
title: Data for: Time-frequency-based non-harmonic analysis to reduce line-noise impact for LIGO observation system

description: Data of manuscript
DOI: 10.7910/dvn/rnw3cy/6chghn
title: 46-5_0235.dcm
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DOI: 10.7910/dvn/rnw3cy/gnnwwt
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DOI: 10.7910/dvn/rnw3cy/xvqc2l
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DOI: 10.7910/dvn/rltszj/6x3nnn
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DOI: 10.7910/dvn/rltszj/zosqjr
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DOI: 10.7910/dvn/rnw3cy/7mw08v
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DOI: 10.7910/dvn/rnw3cy/drvytc
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DOI: 10.7910/dvn/rnw3cy/h8f4xv
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DOI: 10.7910/dvn/rltszj/sxpni6
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DOI: 10.7910/dvn/rnw3cy/f61for
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DOI: 10.7910/dvn/rnw3cy/kj2u7w
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DOI: 10.7910/dvn/rnw3cy/wmi9nn
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DOI: 10.7910/dvn/rltszj/cps9bd
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DOI: 10.7910/dvn/rltszj/idpu7k
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DOI: 10.7910/dvn/rltszj/nvy6pd
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DOI: 10.7910/dvn/rnw3cy/ivfkoz
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DOI: 10.7910/dvn/rnw3cy/k8woxg
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DOI: 10.7910/dvn/rnw3cy/kw6swz
title: 46-5_0153.dcm