cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1559299
title: Novel and Disappearing Climates 2050 SRES A2

description: This dataset contains two metrics for climate change exposure using downscaled climate projections with the SRES A2 emissions scenario (Tabor and Williams, 2007).The metrics represent dissimilarity measurements of the squared Euclidean distance between seasonal (June–August and December–February) temperature and precipitation variables in the 20th century climate and mid-21st century climate.

(1) disappearing climate risk -  measure of dissimilarity between a pixel’s late 20th century climate and its closest matching pixel in the global set of 21st-century climates <br>
(2) novel climate risk - measure of dissimilarity between a pixel’s future climate and its closest matching pixel in the global set of late 20th-century climates.

The data are in arcASCII format. All data are in units of standard Euclidean distance and multiplied by 1000.

This is the original data. To scale the data similar to Tabor et al. (2018), remove outliers above the 99th percentile distribution before rescaling from 0-1. 

Unprojected 

number of columns 2160<br>
number of rows 857<br>
Lower Left X Center -179.917<br>
Lower Left Y Center -59.084<br>
Cell size 0.166667 decimal degrees (10 minutes or ~17 km)<br>
description: Support for this project was provided by Conservation International, the Land Tenure Center at the University of Wisconsin, 
the Center for Climatic Research at the University of Wisconsin, and the Environment Program at the University of Wisconsin–Madison. This research has been funded in part by the Walton Family Foundation, the Gordon and Betty Moore Foundation, and a gift from Betty and Gordon Moore.
description: {"references": ["Tabor, K. et al. (2018). Tropical Protected Areas Under Increasing Threats from Climate Change and Deforestation: https://doi.org/10.3390/land7030090", "Tabor and Williams (2010). Globally downscaled climate projections for assessing the conservation impacts of climate change. https://doi.org/10.1890/09-0173.1", "Williams, J.W. et al. (2007). Projected distributions of novel and disappearing climates by 20100 AD. https://doi.org/10.1073/pnas.0606292104"]}
DOI: 10.7910/dvn/2gflo/emeool
title: petitions.xlsx
DOI: 10.7910/dvn/7dqqh/oxiasg
title: petitions.xlsx
DOI: 10.7910/dvn/byysi/ik5snm
title: petitions.xlsx
DOI: 10.7910/dvn/orqaa/dyzbkk
title: petitions.xlsx
DOI: 10.7910/dvn/sjzvf/jocjxm
title: petitions.xlsx
DOI: 10.7910/dvn/tcmua/dvcaxx
title: petitions.xlsx
DOI: 10.7910/dvn/vfc0i/4fhu3n
title: petitions.xlsx
DOI: 10.7910/dvn/xvcbd/9yaojh
title: petitions.xlsx
DOI: 10.7910/dvn/yi8vs/pibntn
title: petitions.xlsx
DOI: 10.7910/dvn/ynq3n/hahvhz
title: petitions.xlsx
DOI: 10.5525/gla.researchdata.692
title: Resilience from a lived experience perspective in the regional context of Dumfries and Galloway
DOI: 10.7910/dvn/3cu41/6etyrk
title: petitions.xlsx
DOI: 10.7910/dvn/ghpi8/tuhnfv
title: petitions.xlsx
DOI: 10.7910/dvn/hh9fs/wrj0c1
title: petitions.xlsx
DOI: 10.7910/dvn/jynbj/zrejdw
title: petitions.xlsx
DOI: 10.7910/dvn/vvfy1/qsqkqy
title: petitions.xlsx
DOI: 10.7910/dvn/w4vp2/g13sqy
title: petitions.xlsx
DOI: 10.7910/dvn/wltox/nwcgii
title: petitions.xlsx
DOI: 10.7910/dvn/xqecl/wqnykd
title: petitions.xlsx
DOI: 10.17632/9pdf6hxwtg.1
title: Data for: Highly varying radiogenic heat production in Finland, Fennoscandian Shield

description: The dataset presented here originates from the Rock Geochemical Database of Finland but has been filtered to include only the data necessary for our paper. For a detailed description, consult following references: Rasilainen, K., Lahtinen, R., Bornhorst, T.J., 2007. The Rock Geochemical Database of Finland Manual. Geological Survey of Finland, Report of Investigation 164, 38pp. Rasilainen, K., Lahtinen, R., Bornhorst, T.J., 2008. Chemical Characteristics of Finnish Bedrock – 1:1 000 000 Scale Bedrock Map Units. Geological Survey of Finland, Report of Investigation 171, 94pp.
DOI: 10.7910/dvn/2fgze/5wh5am
title: petitions.xlsx
DOI: 10.7910/dvn/bi34m/aj9eah
title: petitions.xlsx
DOI: 10.7910/dvn/ixdem/jsevb1
title: petitions.xlsx
DOI: 10.7910/dvn/ngbp3/9vtrsn
title: petitions.xlsx
DOI: 10.7910/dvn/qk32r/26u5pj
title: petitions.xlsx
DOI: 10.7910/dvn/sntzq/mlx9u3
title: petitions.xlsx
DOI: 10.7910/dvn/xhwla/uqtsxf
title: petitions.xlsx
DOI: 10.17632/3znr9fr97x.1
title: Data for: Is the Phillips curve still alive? Evidence from the euro area

description: Quarterly data on consumer (and import) price index, GDP, and unemployment over 1985Q1-2017Q4, for euro area and 5 countries (Germany, France, Italy, Spain, The Netherlands). The data series include raw data and cycle components.
DOI: 10.7910/dvn/2xupz/jzhhtx
title: petitions.xlsx
DOI: 10.7910/dvn/7trco/oh8zga
title: petitions.xlsx
DOI: 10.7910/dvn/9fiva/tsuebv
title: petitions.xlsx
DOI: 10.7910/dvn/ch91c/gftzay
title: petitions.xlsx
DOI: 10.7910/dvn/d8fbo/oj7xvw
title: petitions.xlsx
DOI: 10.7910/dvn/tksgd/t0iqq8
title: petitions.xlsx
DOI: 10.7910/dvn/ut06i/tziiqd
title: petitions.xlsx
DOI: 10.7910/dvn/yixhb/abhifb
title: petitions.xlsx
DOI: 10.7910/dvn/zyhon/zf7aks
title: petitions.xlsx
DOI: 10.17632/zbtn5jchc8.1
title: Data for: Immediate Behavioral Response to the June 17, 2013 Flash Floods in Uttarakhand, North India

description: 2013 Uttarakhand flash Flood Data
DOI: 10.7910/dvn/2vkms/hgphwg
title: petitions.xlsx
DOI: 10.7910/dvn/a549f/rmj4c6
title: petitions.xlsx
DOI: 10.7910/dvn/caznz/ratqbz
title: petitions.xlsx
DOI: 10.7910/dvn/j5k2k/ksbl3t
title: petitions.xlsx
DOI: 10.7910/dvn/juayf/3v1cs4
title: petitions.xlsx
DOI: 10.7910/dvn/mbjze/kt7xdv
title: petitions.xlsx
DOI: 10.7910/dvn/qky8d/i57qi6
title: petitions.xlsx
DOI: 10.7910/dvn/ty2k4g/nitcvs
title: petitions-1.xlsx
DOI: 10.7910/dvn/v4qah/ulkgou
title: petitions.xlsx
DOI: 10.7910/dvn/15vqx/aww2oe
title: petitions.xlsx
DOI: 10.7910/dvn/24igg3/fjvubp
title: petitions.xlsx
DOI: 10.7910/dvn/5bxtzd/ovrkfs
title: petitions.xlsx
DOI: 10.7910/dvn/a794w/ljrerz
title: petitions.xlsx
DOI: 10.7910/dvn/b06m3p/vjfvr2
title: petitions-1.xlsx
DOI: 10.7910/dvn/dd2p8q/atybom
title: petitions.xlsx
DOI: 10.7910/dvn/dy4qw/hbemz8
title: petitions.xlsx
DOI: 10.7910/dvn/eaxb7v/dy7ycb
title: petitions.xlsx
DOI: 10.7910/dvn/fgtyd/zsxsg4
title: petitions.xlsx
DOI: 10.7910/dvn/irqa7/kd4o8i
title: petitions.xlsx
DOI: 10.7910/dvn/mqe8j/8kwrhc
title: petitions.xlsx
DOI: 10.7910/dvn/ncy1e/94j87z
title: petitions.xlsx
DOI: 10.7910/dvn/sibnq/drpnbf
title: petitions.xlsx
DOI: 10.7910/dvn/vh5soq/wcle8t
title: petitions.xlsx
DOI: 10.7910/dvn/wixut/h8vefz
title: petitions.xlsx
DOI: 10.7910/dvn/wu0jm/vq2xtp
title: petitions.xlsx
DOI: 10.7910/dvn/xinrzs/sniq0m
title: petitions-1.xlsx
DOI: 10.7910/dvn/xuun1m/jtpjcv
title: petitions.xlsx
DOI: 10.17632/6y66psdt97.1
title: Data for: Optimized Thermochromic Properties of VO2/CoFe2O4 Nanocomposite Films via Band Gap Engineering

description: Figure 1. XRD pattern of the CoFe2O4 sample. The inset is the corresponding FESEM image. Figure 2. XRD patterns of CoFe2O4/VO2 nanocomposites with CoFe2O4 addition content of (1) 0, (2) 1, (3) 2, (4) 4, and (5) 6 mmol. Figure 3. (a) XRD patterns of (1) physical mixture of CoFe2O4 and VO2 nanoparticles and CoFe2O4/VO2 nanocomposites with CoFe2O4 additive content of (2) 0, (3) 1, (4) 2, (5) 4, and (6) 6 mmol. (b) The relationship between the additive amount and grain size of CoFe2O4. Figure 4. FESEM images of VO2 nanoparticles without (a) and with 2 mmol CoFe2O4 (b). Figure 5. Transmittance spectra of CoFe2O4/VO2 nanocomposite films before (25 °C, solid line) and after (100 °C, dashed line) phase transition with CoFe2O4 additive content of 1 mmol and film thickness of (1) 264 (curve 1), (2) 305 (curve 2), (3) 370 (curve 3) and (4) 440 nm (curve 4). Figure 6.Transmittance spectra of pure VO2 nanoparticles (1), physical mixture of VO2 and CoFe2O4 nanoparticles (2), CoFe2O4/VO2 nanocomposites with CoFe2O4 additive content of (3) 1, (4) 2, (5) 4 and (6) 6 mmol at 25 °C (solid line) and 100 °C (dashed line). Figure 7. V 2p and O1s XPS of VO2 and CoFe2O4 physical mixture (1), CoFe2O4/VO2 nanocomposites with CoFe2O4 additive content of (2) 1, (3) 2, (4) 4 and (5) 6 mmol. Figure 8. Temperature-dependent infrared transmittance spectra of VO2 nanoparticles (1), physical mixture of VO2 and CoFe2O4 nanoparticles (2), CoFe2O4/VO2 nanocomposites with CoFe2O4 additive content of (3) 1, (4) 2, (5) 4 and (6) 6 mmol at 25 and 100°C. Figure 9. Temperature-dependent infrared transmittance spectra of the CoFe2O4/VO2 nanocomposite film with CoFe2O4 additive content of 1 mmol and thickness of 305 nm. The arrow direction points gradual increase in the temperature from 30 to 100 oC. Figure 10. DSC curves of VO2(M) nanoparticles (a), CoFe2O4/VO2 nanocomposites with CoFe2O4 additive content of (b) 1, (c) 2, (d) 4, (e) 6 mmol, and (f) CoFe2O4 nanoparticles, physical mixture of VO2 and CoFe2O4 nanoparticles with the mass ratio of (1) 3.4:0.7, (2) 2:4.6, (3) 1.3:3 in warming cycle. Figure 11. (a) UV-Vis absorption spectra and (b) (ah)2-h plots of VO2 (1), CoFe2O4 (2) and CoFe2O4/VO2 nanocomposites with CoFe2O4 additive content of (3) 1, (4) 2, (5) 4 and (6) 6 mmol. Figure S1 (a) TEM image, and (b) room-temperature magnetic hysteresis curves of the CoFe2O4 sample. The inset in (a) is the corresponding HRTEM image. Figure S2 Enlarged XRD patterns of the diffraction peak between 30 o and 34o. Figure S3 XPS spectra: (a) overall scan, (b) Co 2p and (c) Fe 2p of CoFe2O4/VO2 nanocomposites with CoFe2O4 additive content of 2 mmol.
DOI: 10.7910/dvn/0ropgu/ullss8
title: petitions.xlsx
DOI: 10.7910/dvn/ayk1y/i5agys
title: petitions.xlsx
DOI: 10.7910/dvn/bq6lld/7wnfsp
title: petitions.xlsx
DOI: 10.7910/dvn/cei6sy/xthlv1
title: 000.png
DOI: 10.7910/dvn/enflfm/9myap8
title: petitions.xlsx
DOI: 10.7910/dvn/hauik/rya7yv
title: petitions.xlsx
DOI: 10.7910/dvn/irhirl/k18zw8
title: petitions.xlsx
DOI: 10.7910/dvn/k8xb6/knle7m
title: petitions.xlsx
DOI: 10.7910/dvn/mdoow/vb8rrq
title: petitions.xlsx
DOI: 10.7910/dvn/mxpla/8ojszh
title: petitions.xlsx
DOI: 10.7910/dvn/nxbkig/hxvlyw
title: petitions-1.xlsx
DOI: 10.7910/dvn/oet0f/9q72mf
title: petitions.xlsx
DOI: 10.7910/dvn/omhgke/64rv7l
title: petitions-1.xlsx
DOI: 10.7910/dvn/pfcd5n/y45lws
title: petitions.xlsx
DOI: 10.7910/dvn/soxzpe/5lb47v
title: petitions.xlsx
DOI: 10.7910/dvn/tjnfa/imaktt
title: petitions.xlsx
DOI: 10.7910/dvn/ubgwb/rqxliz
title: petitions.xlsx
DOI: 10.7910/dvn/yzsgnz/pe2k8h
title: petitions.xlsx
DOI: 10.17632/r8nfm7nytk.1
title: Data for: Testate amoebae as a hydrological proxy for reconstructing water table depth in the mires of south-eastern Australia

description: This is a transfer function developed (and tested) that links sub-fossil testate amoeba community composition and water table depth for south-eastern Australia.
DOI: 10.5281/zenodo.1568853
title: Vehicle Routing Problem with Drones Instances

description: The following instances are originally presented in the (soon to be published) paper <em>An Adaptive Large Neighborhood Search Metaheuristic for the Vehicle Routing Problem with Drones</em>, written by David Sacramento Lechado, David Pisinger and Stefan Røpke.

The data correspond to 112 instances corresponding to different scenarios for the Vehicle Routing Problem with Drones. Each instance is named <strong>n.m.t</strong>, where <strong>n</strong> is the number of customers in the scenario, <strong>m</strong> is the dimension of the grid, and <strong>t</strong> is the generic name of the scenario. Moreover, the data additionally contains 10 clustered instances, named <strong>n.m.c.t</strong>, where <strong>c</strong> refers to the cluster-feature of the instance, and more 30 instances for the sensitivity analysis, named <strong>n.m.s.t</strong>, where <strong>s</strong> stands for sensitivity.

The first line of each instance file indicates the number of customers in the specific instance. The second line is the header for the characteristics of each customer, where it is written <em>Coordinate X, Coordinate Y</em> and <em>Demand. </em>The following provides the previous information for each customer in the instance.

Finally, there is an extra file, named <strong>RouteData,</strong> which provides information about the value of the parameters in the main configuration of the problem. These parameters are:


	<strong>TruckSpeed: </strong>Speed in mpm (miles per minute) of the trucks.
	<strong>DroneSpeed: </strong>Speed in mpm of the drones.
	<strong>TruckCapacity: </strong>Maximum capacity of the trucks.
	<strong>DroneCapacity:</strong> Maximum allowed weight a drone can carry.
	<strong>ServiceTimeTruck:</strong> Required service time for a truck to service a customer.
	<strong>ServiceTimeDrone:</strong> Required service time for a drone to service a customer.
	<strong>Endurance: </strong>Maximum flight endurance of the battery of the drone.
	<strong>MaximumDriveTime: </strong>Maximum duration time of the routes.
	<strong>LaunchTime: </strong>Required time for launching a drone.
	<strong>RecoveryTime: </strong>Required time for recovering a drone.
	<strong>CostFactor:</strong> Corresponding parameter for computing the cost for a truck for traversing arc (i,j), given by fuel price (euro/liter), consumption rate (liter/km) and miles converter (km/miles).
	<strong>DroneFactor: </strong>Corresponding parameter for computing the cost for a drone for traversing arc (i,j) with respect to the truck cost.
DOI: 10.7910/dvn/agml3/wotv11
title: petitions.xlsx
DOI: 10.7910/dvn/edfwa/77abww
title: petitions.xlsx
DOI: 10.7910/dvn/fcmro/7w8km5
title: petitions.xlsx
DOI: 10.7910/dvn/fcoxqt/ulwx5k
title: petitions.xlsx
DOI: 10.7910/dvn/i4vzd/cosjj0
title: petitions.xlsx
DOI: 10.7910/dvn/lyskq/qmhbju
title: petitions.xlsx
DOI: 10.7910/dvn/mtuqq/mqtgih
title: petitions.xlsx
DOI: 10.7910/dvn/omh92/afd4f0
title: petitions.xlsx
DOI: 10.7910/dvn/prnxb/nhvxmp
title: petitions.xlsx
DOI: 10.7910/dvn/pvpuu/8qrmzt
title: petitions.xlsx
DOI: 10.7910/dvn/wvuj4/skzbkh
title: petitions.xlsx
DOI: 10.7910/dvn/ahqod/x8ukvq
title: petitions.xlsx
DOI: 10.7910/dvn/bph7c/3x0mgq
title: petitions.xlsx
DOI: 10.7910/dvn/eeo2v/r0umxf
title: petitions.xlsx
DOI: 10.7910/dvn/ilo30/tfldtv
title: petitions.xlsx
DOI: 10.7910/dvn/nbs4e/ed6nui
title: petitions.xlsx
DOI: 10.7910/dvn/ndzzl/l7am5g
title: petitions.xlsx
DOI: 10.7910/dvn/rnk83/izp0ao
title: petitions.xlsx
DOI: 10.7910/dvn/vveak/six0di
title: petitions.xlsx
DOI: 10.7910/dvn/w5ars/vehp3i
title: petitions.xlsx
DOI: 10.25925/20181128
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the year 2018; obspack_co2_1_NRT_v4.3.1_2018-11-28

description: A full list of all contributors for this product can be found at www.esrl.noaa.gov/gmd/ccgg/obspack/providerlist/obspack_co2_1_NRT_v4.3.1_2018-11-28.html
This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.7910/dvn/4vtdq/2nf48z
title: petitions.xlsx
DOI: 10.7910/dvn/a9don/ovlxc7
title: petitions.xlsx
DOI: 10.7910/dvn/d35mi/ftbij2
title: petitions.xlsx
DOI: 10.7910/dvn/ev9eu/a8u284
title: petitions.xlsx
DOI: 10.7910/dvn/exdmq/rs4i05
title: petitions.xlsx
DOI: 10.7910/dvn/foltb/8d16rt
title: petitions.xlsx
DOI: 10.7910/dvn/hbznre/tgnhzn
title: Economics_2014-11.pdf
DOI: 10.7910/dvn/kp8ew/bikwx7
title: petitions.xlsx
DOI: 10.7910/dvn/n5a5c/dg0sbk
title: petitions.xlsx
DOI: 10.7910/dvn/wltfl/hekdqz
title: petitions.xlsx
DOI: 10.17632/wmrwjdbg82.1
title: Metabolomic analysis of CD8+ naive, effector and TIL

description: LC MS analysis of intermediate metabolites extracted from FACS sorted CD8+ T cells from naive mice; mice primed with anti-CD40/pIC/OVA or infiltrating B16cOVA tumors
DOI: 10.5281/zenodo.1639421
title: fluorescenceAggregationImaging_twoColour_npr-1_rep5

description: This experiment is part of Fluorescence Aggregation Imaging dataset for the following publication: https://www.biorxiv.org/content/early/2018/11/01/398370


	<strong>strain</strong> : OMG2 (green), OMG19 (red)
	<strong>timestamp</strong> : 20170213
	<strong>strain_description</strong> : OMG2: mIs12[myo-2p::GFP]II; npr-1(ad609)X. OMG19: rmIs349[myo3p::RFP]; npr-1(ad609)X.
	<strong>sex</strong> : hermaphrodite
	<strong>stage</strong> : adult
	<strong>media</strong> : NGM agar low peptone
	<strong>arena</strong> :
	
		<strong>style</strong> : petri
		<strong>size</strong> : 35
	
	
	<strong>food</strong> : OP50, diluted OD = 0.75, freshly seeded
	<strong>who</strong> : S. Serena Ding
	<strong>protocol</strong> : Method in Ding, Schumacher et al. doi.org/10.1101/398370. Alternatively, visit dx.doi.org/10.17504/protocols.io.vzje74n.
	<strong>lab</strong> :
	
		<strong>name</strong> : Behavioural Genomics
		<strong>location</strong> : London, United Kingdom
	
	
	<strong>software</strong> :
	
		<strong>name</strong> : tierpsy (https://github.com/ver228/tierpsy-tracker)
	
	
	<strong>days_of_adulthood</strong> : 1
	<strong>total time (s)</strong> : 3600
	<strong>frames per second</strong> : 9
	<strong>video micrometers per pixel</strong> : 5.128
DOI: 10.5281/zenodo.1639423
title: fluorescenceAggregationImaging_twoColour_npr-1_rep5

description: This experiment is part of Fluorescence Aggregation Imaging dataset for the following publication: https://www.biorxiv.org/content/early/2018/11/01/398370


	<strong>strain</strong> : OMG2 (green), OMG19 (red)
	<strong>timestamp</strong> : 20170213
	<strong>strain_description</strong> : OMG2: mIs12[myo-2p::GFP]II; npr-1(ad609)X. OMG19: rmIs349[myo3p::RFP]; npr-1(ad609)X.
	<strong>sex</strong> : hermaphrodite
	<strong>stage</strong> : adult
	<strong>media</strong> : NGM agar low peptone
	<strong>arena</strong> :
	
		<strong>style</strong> : petri
		<strong>size</strong> : 35
	
	
	<strong>food</strong> : OP50, diluted OD = 0.75, freshly seeded
	<strong>who</strong> : S. Serena Ding
	<strong>protocol</strong> : Method in Ding, Schumacher et al. doi.org/10.1101/398370. Alternatively, visit dx.doi.org/10.17504/protocols.io.vzje74n.
	<strong>lab</strong> :
	
		<strong>name</strong> : Behavioural Genomics
		<strong>location</strong> : London, United Kingdom
	
	
	<strong>software</strong> :
	
		<strong>name</strong> : tierpsy (https://github.com/ver228/tierpsy-tracker)
	
	
	<strong>days_of_adulthood</strong> : 1
	<strong>total time (s)</strong> : 3600
	<strong>frames per second</strong> : 9
	<strong>video micrometers per pixel</strong> : 5.128
DOI: 10.7910/dvn/4xnre3/aec9vk
title: Core_Volumes.zip
DOI: 10.7910/dvn/4xnre3/jsdt4f
title: Burrow_Volumes.zip
DOI: 10.7910/dvn/8ubgw/steahe
title: petitions.xlsx
DOI: 10.7910/dvn/crwej/itxbns
title: petitions.xlsx
DOI: 10.7910/dvn/dsmwg/rmezht
title: petitions.xlsx
DOI: 10.7910/dvn/euti7/ujv9ue
title: petitions.xlsx
DOI: 10.7910/dvn/fgdk6/uwwgi0
title: petitions.xlsx
DOI: 10.7910/dvn/kws5e/k0ywuy
title: petitions.xlsx
DOI: 10.7910/dvn/uyxcz/tnutom
title: petitions.xlsx
DOI: 10.7910/dvn/v0mbq/u1x9lg
title: petitions.xlsx
DOI: 10.7910/dvn/yc5rw/hvt3jf
title: petitions.xlsx
DOI: 10.7910/dvn/yidmi/hpz5fs
title: petitions.xlsx
DOI: 10.5281/zenodo.1578588
title: Remote Sensing of Radiation Belt Energetic Electrons Using Lightning Triggered Upper Band Chorus

description: We report very low frequency (VLF) observation of  interaction of waves from atmospheric lightning with radiation belt particles. The observation provides a unique opportunity to remotely sense the dynamics of the energetic particle population in the Earth’s radiation belts and how this population leads to amplification and generation of waves.
DOI: 10.5281/zenodo.1578589
title: Remote Sensing of Radiation Belt Energetic Electrons Using Lightning Triggered Upper Band Chorus

description: We report very low frequency (VLF) observation of  interaction of waves from atmospheric lightning with radiation belt particles. The observation provides a unique opportunity to remotely sense the dynamics of the energetic particle population in the Earth’s radiation belts and how this population leads to amplification and generation of waves.
DOI: 10.5281/zenodo.1623601
title: Fabrication of W-band TWT for 5G small cells backhaul

description: Underlying data corresponding to the paper: F. André, S. Kohler, V. Krozer, Q.T. Le, R. Letizia, C. Paoloni, A. Sabaawi, G. Ulisse, R. Zimmerman, "Fabrication of W-band TWT for 5G small cells backhaul", 18th International Vacuum Electronics Conference (IVEC 2017), London, United Kingdom April 2017.
DOI: 10.7910/dvn/2wdak/wqdiyl
title: petitions.xlsx
DOI: 10.7910/dvn/3nbbo/prymrp
title: petitions.xlsx
DOI: 10.7910/dvn/43mci/dyve0z
title: petitions.xlsx
DOI: 10.7910/dvn/7ao30/s9njf9
title: petitions.xlsx
DOI: 10.7910/dvn/8efid/wql1pr
title: petitions.xlsx
DOI: 10.7910/dvn/ab7ni/xizgkk
title: petitions.xlsx
DOI: 10.7910/dvn/bm8ge/jqxjzo
title: petitions.xlsx
DOI: 10.7910/dvn/coaaw/gxrskw
title: petitions.xlsx
DOI: 10.7910/dvn/euuvx/9yyvvk
title: petitions.xlsx
DOI: 10.7910/dvn/jnow6/ukixpt
title: petitions.xlsx
DOI: 10.7910/dvn/kolwq/wecpec
title: petitions.xlsx
DOI: 10.7910/dvn/mgl5a/mquqxw
title: petitions.xlsx
DOI: 10.7910/dvn/mu8wo/exakpg
title: petitions.xlsx
DOI: 10.7910/dvn/o5usl/emcujk
title: petitions.xlsx
DOI: 10.7910/dvn/ova61/arfezq
title: petitions.xlsx
DOI: 10.7910/dvn/pqn66/bpzyuf
title: petitions.xlsx
DOI: 10.7910/dvn/snyyl/ggwhh3
title: petitions.xlsx
DOI: 10.7910/dvn/sojfy/ndnfdi
title: petitions.xlsx
DOI: 10.7910/dvn/uspds/l5ja8l
title: petitions.xlsx
DOI: 10.7910/dvn/vfv5n/jhi1ll
title: petitions.xlsx
DOI: 10.7910/dvn/vnfjj/dszvfe
title: petitions.xlsx
DOI: 10.7910/dvn/w3lfc/vcxw5b
title: petitions.xlsx
DOI: 10.7910/dvn/wwjvi/ocdjyx
title: petitions.xlsx
DOI: 10.7910/dvn/wyyao/2cnhht
title: petitions.xlsx
DOI: 10.7910/dvn/xtpjd/qvvhys
title: petitions.xlsx
DOI: 10.5258/soton/d0573
title: Dataset for "GaAs/AlAs Intermixed Superlattice for Stimulated Raman Scattering"

description: Data supporting the paper Tomita, I., Saito, S., & Hutchings, D. (2018) 'GaAs/AlAs intermixed superlattice for stimulated Raman scattering' presented at The 11th International Conference on Optics-photonics Design and Fabrication (ODF2018),
Hiroshima, Japan, 28-30 November, 2018.
DOI: 10.7910/dvn/2fims/9vetwg
title: petitions.xlsx
DOI: 10.7910/dvn/3nxht/oang93
title: petitions.xlsx
DOI: 10.7910/dvn/5e1q8/80p1k7
title: petitions.xlsx
DOI: 10.7910/dvn/bda7m/5a6xnv
title: petitions.xlsx
DOI: 10.7910/dvn/c764r/udktoj
title: petitions.xlsx
DOI: 10.7910/dvn/d7o1r/sl4mag
title: petitions.xlsx
DOI: 10.7910/dvn/epjxd/frgvxg
title: petitions.xlsx
DOI: 10.7910/dvn/f0ua3/vvht8a
title: petitions.xlsx
DOI: 10.7910/dvn/gkh9i/qdinvs
title: petitions.xlsx
DOI: 10.7910/dvn/jhpql/yp4e3m
title: petitions.xlsx
DOI: 10.7910/dvn/juxo6/7mxif7
title: petitions.xlsx
DOI: 10.7910/dvn/jyhah/gshdxl
title: petitions.xlsx
DOI: 10.7910/dvn/myyaj/scelnn
title: petitions.xlsx
DOI: 10.7910/dvn/nhlj7/nyddje
title: petitions.xlsx
DOI: 10.7910/dvn/novsn/z6wd8u
title: petitions.xlsx
DOI: 10.7910/dvn/qdavb/9xvfkk
title: petitions.xlsx
DOI: 10.7910/dvn/qzlgpd/0g0agw
title: dZ_grid.nc
DOI: 10.7910/dvn/rnqs8/xe9ojp
title: petitions.xlsx
DOI: 10.7910/dvn/sbrng/tovkm3
title: petitions.xlsx
DOI: 10.7910/dvn/tjdzs/eayio7
title: petitions.xlsx
DOI: 10.7910/dvn/ukmm5/lkdjb4
title: petitions.xlsx
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title: petitions.xlsx
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title: petitions.xlsx
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title: petitions.xlsx
DOI: 10.7910/dvn/ze4tu/ikgzet
title: petitions.xlsx
DOI: 10.7910/dvn/45otl/vhvy47
title: petitions.xlsx
DOI: 10.7910/dvn/5xgd2/mfbrcb
title: petitions.xlsx
DOI: 10.7910/dvn/7tgfn/4nu5ym
title: petitions.xlsx
DOI: 10.7910/dvn/aj0md/ldqcdb
title: petitions.xlsx
DOI: 10.7910/dvn/aomya/qh41ch
title: petitions.xlsx
DOI: 10.7910/dvn/b1y7x/sbuq7p
title: petitions.xlsx
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title: petitions.xlsx
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title: petitions.xlsx
DOI: 10.7910/dvn/fu8ri/eeyoo1
title: petitions.xlsx
DOI: 10.7910/dvn/gfxkl/urzvod
title: petitions.xlsx