cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1041916
title: Design And Optimization Of G-Band Extended Interaction Klystron With High Output Power

description: We researched the G-band Extended Interaction Klystron with unequal-length slots SWS, and these figures are the simulation results with .tif format
DOI: 10.7298/x48050q2
title: Data from: "Larger but not louder: bigger honey bee colonies have quieter combs”
DOI: 10.21227/4zn3-er57
title: UAV Attack Dataset

description: Simulation of multiple UAV platforms with both benign flights and malicious flights where UAV experiences GPS spoofing attack. Simulation environment follows standard Gazebo/PX4 setup (https://dev.px4.io/v1.9.0/en/simulation/gazebo.html). When the attack starts, normal GPS messages are stopped and injected messages are created and sent from the Gazebo environment to the autopilots GPS sensor for 30 seconds. An autonomous survey flight is conducted over the University (~20min flight time). Full flight plan is located in the dataset package as "OTU-Survey.plan". PX4 Autopilot (v1.10.1 stable) (https://px4.io) running on Pixhawk 4 flight controller. QGroundControl (v4.0.9) used for GCS (http://qgroundcontrol.com).Telemetry data is contained in TLOG files (https://ardupilot.org/copter/docs/common-mission-planner-telemetry-logs.html)Full flight data is contained in ULOG files (https://dev.px4.io/v1.9.0/en/log/ulog_file_format.html)CSVs can be extracted from logs.
DOI: 10.21227/35qs-jk89
title: UAV Attack Dataset

description: Simulation of multiple UAV platforms with both benign flights and malicious flights where UAV experiences GPS spoofing attack. Simulation environment follows standard Gazebo/PX4 setup (https://dev.px4.io/v1.9.0/en/simulation/gazebo.html). When the attack starts, normal GPS messages are stopped and injected messages are created and sent from the Gazebo environment to the autopilots GPS sensor for 30 seconds. An autonomous survey flight is conducted over the University (~20min flight time). Full flight plan is located in the dataset package as "OTU-Survey.plan". PX4 Autopilot (v1.10.1 stable) (https://px4.io) running on Pixhawk 4 flight controller. QGroundControl (v4.0.9) used for GCS (http://qgroundcontrol.com).Telemetry data is contained in TLOG files (https://ardupilot.org/copter/docs/common-mission-planner-telemetry-logs.html)Full flight data is contained in ULOG files (https://dev.px4.io/v1.9.0/en/log/ulog_file_format.html)CSVs can be extracted from logs.
DOI: 10.5281/zenodo.4037472
title: Precipitation and Temperature Data for the Sydney Catchment Area, Australia

description: This dataset contains time series for monthly precipitation over six sites (Blackheath, Braidwood, Darkes Forest, Goulburn, Lithgow and Moss Vale) in the Sydney Catchment Area (SCA) and monthly mean maximum and mean minimum temperature for three sites (Goulburn, Lithgow, and Moss Vale) in the SCA. This data was used in the study <em>Attribution and Prediction of Precipitation and Temperature Trends within the Sydney Catchment Using Machine Learning</em>. The data was originally from the Australian Bureau of Meteorology Climate Data Online (http://www.bom.gov.au/climate/data/index.shtml), but has been updated to have missing values (8% of data) filled using a moving average centred on the year for which the data is missing. <br> <br> Below is the abstract for the paper: Droughts in southeastern Australia can profoundly affect the water supply to Sydney, Australia's largest city. Increasing population, a warming climate, land surface changes, and expanded agricultural use increase water demand and reduce catchment runoff. Studying Sydney's water supply is necessary to manage water resources and lower the risk of severe water shortages. This study aims at understanding Sydney water supply by analysing precipitation and temperature trends across the catchment. A decreasing trend in annual precipitation was found across the Sydney catchment area. Annual precipitation also is significantly less variable, due to fewer years above the 80th percentile. These trends result from significant reductions in precipitation during spring and autumn, especially over the last 20 years. Wavelet analysis is applied to assess how the influence of climate drivers has changed over time. Attribute selection was carried out using linear regression and machine learning techniques including random forests and support vector regression. Drivers of annual precipitation included Niño3.4, SAM, DMI and measures of global warming such as the Tasman Sea Sea Surface temperature anomalies. The support vector regression model with a polynomial kernel achieved correlations of 0.921 and a skill score compared to climatology of 0.721. The linear regression model also performed well with a correlation of 0.815 and skill score of 0.567, highlighting the importance of considering both linear and non-linear methods when developing statistical models. Models were also developed on autumn and winter precipitation but performed worse than annual precipitation on prediction. For example, the best performing model on autumn precipitation, which accounts for approximately one quarter of annual precipitation, achieved an RMSE of 418.036 mm<sup>2</sup> on the testing data while annual precipitation achieved an RMSE of 613.704 mm<sup>2</sup>. However, the seasonal models provided valuable insight into whether the season would be wet or dry compared to the climatology.
DOI: 10.21227/7gkk-1420
title: UAV Attack Dataset

description: Simulation of multiple UAV platforms with both benign flights and malicious flights where UAV experiences GPS spoofing attack. Simulation environment follows standard Gazebo/PX4 setup (https://dev.px4.io/v1.9.0/en/simulation/gazebo.html). When the attack starts, normal GPS messages are stopped and injected messages are created and sent from the Gazebo environment to the autopilots GPS sensor for 30 seconds. An autonomous survey flight is conducted over the University (~20min flight time). Full flight plan is located in the dataset package as "OTU-Survey.plan". PX4 Autopilot (v1.10.1 stable) (https://px4.io) running on Pixhawk 4 flight controller. QGroundControl (v4.0.9) used for GCS (http://qgroundcontrol.com).Telemetry data is contained in TLOG files (https://ardupilot.org/copter/docs/common-mission-planner-telemetry-logs.html)Full flight data is contained in ULOG files (https://dev.px4.io/v1.9.0/en/log/ulog_file_format.html)CSVs can be extracted from logs.
DOI: 10.6084/m9.figshare.12978182.v1
title: R0192_20171002a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12978182
title: R0192_20171002a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12978293.v1
title: function random numbers

description: Implement a function y = 3x + 6 on a dataset, which is a list of 1000 random numbers ranged from 1 to 100
DOI: 10.6084/m9.figshare.12978203
title: R0225_20180526a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.14457/stou.res.2005.1
title: แนวทางการสร้างความเข้มแข็ง ให้กับคณะกรรมการความปลอดภัย ในโรงงานในประเทศไทย /
DOI: 10.14457/stou.the.2006.341
title: คุณภาพชีวิตในการทำงาน ของบุคลากรเทศบาลเมืองกาฬสินธุ์ /
DOI: 10.14457/stou.the.2006.342
title: การพัฒนาชุดการสอนแบบอิงประสบการณ์ กลุ่มสาระการเรียนรู้สังคมศึกษา ศาสนา และวัฒนธรรม เรื่องพระพุทธศาสนา สำหรับนักเรียนชั้นมัธยมศึกษาปีที่ 2 เขตพื้นที่การศึกษานครนายก /
DOI: 10.15468/i1w84i
title: Sclerotinia cirsii-spinosissimi, a new species from the Alps

description: This dataset contains the digitized treatments in Plazi based on the original journal article Beatrice Senn-Irlet, Martina Peter (2016): Sclerotinia cirsii-spinosissimi, a new species from the Alps. Ascomycete. org 8 (5): 235-240, DOI: 10.5281/zenodo.1040189
DOI: 10.17632/3hh5bhhpzf.1
title: Annotaed_Bibliography_NBVC_Oct2017

description: An Annotated Bibliography and the Natural Resources of NBVC
DOI: 10.17632/bjvnw2gb5v.2
title: Annotaed_Bibliography_NBVC_Oct2017

description: EndNote Literature Database for San Nicolas Island Database Project
DOI: 10.17632/bjvnw2gb5v.3
title: Literature Database, ENL format, NBVC, Oct2017

description: Literature Database, .Enl format, the Natural Resources of Naval Base Ventura County
DOI: 10.17632/3hh5bhhpzf.2
title: Literature Database, XML, NBVC, Oct 2017

description: Literature Database, XML format, the Natural Resources of Naval Base Ventura County
DOI: 10.6073/pasta/075458c997472300ff5bf01d32fbc9f7
title: Inventory of Ants at the Black Rock Forest in Cornwall NY since 2006
DOI: 10.17632/d8mm8spsdz.1
title: Source code for our techniques

description: Source code to be used along with the Arboretum library. Link for the library: https://bitbucket.org/gbdi/sims
DOI: 10.5523/bris.2lh5oz3p93q7p2uyx4w2h70a0v
title: No effect of gamification on attrition from a web-based longitudinal cognitive testing study

description: In this online experimental repeated-measures study, participants were randomized to one of three gamelike variants (non-game, points, theme) in a between subjects design, to assess whether gamification reduced dropout from the study (attrition).
DOI: 10.5258/soton/403544
title: Code and dataset for: The Information-Cost-Reward framework for understanding robot swarm foraging

description: These files contain ARGoS simulation code, python code and raw data for manuscript "The Information-Cost-Reward framework for understanding robot swarm foraging". Please see the README.txt file for further details.
DOI: 10.6073/pasta/5324299cfcdfc428223ed8a34f7a7223
title: Ant Assemblages in Hemlock Removal Experiment at Harvard Forest since 2003
DOI: 10.5281/zenodo.1039564
title: Retrofitting Municipal Street Lighting In Germany

description: This dataset includes answers to a survey of approximately 1000 German local authorities regarding retrofitting activities of public street lighting infrastructure and energy service contracting solutions. The survey has been commissioned by the Germany Energy Agency (dena)<sup>1 </sup>and implemented by the Sustainable Business Institute (SBI)<sup>2</sup> in the period December 2015-February 2016.

<sup>1 </sup>www.dena.de

<sup>2 </sup>www.sbi21.de
DOI: 10.5281/zenodo.1039565
title: Retrofitting Municipal Street Lighting In Germany

description: This dataset includes answers to a survey of approximately 1000 German local authorities regarding retrofitting activities of public street lighting infrastructure and energy service contracting solutions. The survey has been commissioned by the Germany Energy Agency (dena)<sup>1 </sup>and implemented by the Sustainable Business Institute (SBI)<sup>2</sup> in the period December 2015-February 2016.

<sup>1 </sup>www.dena.de

<sup>2 </sup>www.sbi21.de
DOI: 10.6073/pasta/897255d415810aa81ab20dc5268076b9
title: Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991
DOI: 10.5281/zenodo.1040277
title: Matrimid-Juc-62 And Matrimid-Pcn-250 Mixed Matrix Membranes Displaying Light-Responsive Gas Separation And Beneficial Ageing Characteristics For Co2/N2 Separation

description: FTIR, TGA, XRD and gas permeation results for our study of Matrimid-JUC-62 and Matrimid-PCN-250 mixed matrix membranes, including light-responsive properties.

Published in: Prasetya, N., Teck, A.A., Ladewig, B.P., <em>Matrimid-JUC-62 and Matrimid-PCN-250 mixed matrix membranes displaying light-responsive gas separation and beneficial ageing characteristics for CO<sub>2</sub>/N<sub>2</sub> separation</em>, (2018) <strong>Scientific Reports</strong>, 8 (1), 2944. 

doi:10.1038/s41598-018-21263-7
DOI: 10.5281/zenodo.1040278
title: Matrimid-Juc-62 And Matrimid-Pcn-250 Mixed Matrix Membranes Displaying Light-Responsive Gas Separation And Beneficial Ageing Characteristics For Co2/N2 Separation

description: FTIR, TGA, XRD and gas permeation results for our study of Matrimid-JUC-62 and Matrimid-PCN-250 mixed matrix membranes, including light-responsive properties.

Published in: Prasetya, N., Teck, A.A., Ladewig, B.P., <em>Matrimid-JUC-62 and Matrimid-PCN-250 mixed matrix membranes displaying light-responsive gas separation and beneficial ageing characteristics for CO<sub>2</sub>/N<sub>2</sub> separation</em>, (2018) <strong>Scientific Reports</strong>, 8 (1), 2944. 

doi:10.1038/s41598-018-21263-7
DOI: 10.5255/ukda-sn-5594-4
title: National Child Development Study: Biomedical Data, 2002-2004: Special Licence Access
DOI: 10.5281/zenodo.1014846
title: Signatures Of Nitrogen Chemistry In Hot Jupiter Atmospheres - Posteriors

description: Supplementary material for 'Signatures of Nitrogen Chemistry in Hot Jupiter Atmospheres', ApJL, 2017.

Contains the posterior probability distributions resulting from atmospheric retrievals of WASP-31b, WASP-63b, and HD 209458b.
DOI: 10.5281/zenodo.1014847
title: Signatures Of Nitrogen Chemistry In Hot Jupiter Atmospheres - Posteriors

description: Supplementary material for 'Signatures of Nitrogen Chemistry in Hot Jupiter Atmospheres', ApJL, 2017.

Contains the posterior probability distributions resulting from atmospheric retrievals of WASP-31b, WASP-63b, and HD 209458b.
DOI: 10.15468/9fn7mo
title: Monocilliumgamsii sp. nov. and Monocilliumbulbillosum: two nematode-associated fungi parasitising the eggs of Heteroderafilipjevi

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ashrafi, Samad, Stadler, Marc, Dababat, Abdelfattah A., Richert-Poeggeler, Katja R., Finckh, Maria R., Maier, Wolfgang (2017): Monocilliumgamsii sp. nov. and Monocilliumbulbillosum: two nematode-associated fungi parasitising the eggs of Heteroderafilipjevi. MycoKeys 27: 21-38, DOI: http://dx.doi.org/10.3897/mycokeys.27.21254, URL: http://dx.doi.org/10.3897/mycokeys.27.21254
DOI: 10.15468/hyfwxu
title: Pseudorchomeneboreoplebs, a new lysianassid amphipod from Korean waters (Crustacea, Amphipda, Lysianassoidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jung, Tae Won, Coleman, Charles Oliver, Yoon, Seong Myeong (2017): Pseudorchomeneboreoplebs, a new lysianassid amphipod from Korean waters (Crustacea, Amphipda, Lysianassoidea). Zoosystematics and Evolution 2: 343-352, DOI: http://dx.doi.org/10.3897/zse.92.20482, URL: http://dx.doi.org/10.3897/zse.92.20482
DOI: 10.15468/tjlwhl
title: Three new species of Hydnophlebia (Polyporales, Basidiomycota) from the Macaronesian Islands

description: This dataset contains the digitized treatments in Plazi based on the original journal article Telleria, M. Teresa, Duenas, Margarita, Martin, Maria P. (2017): Three new species of Hydnophlebia (Polyporales, Basidiomycota) from the Macaronesian Islands. MycoKeys 27: 39-64, DOI: http://dx.doi.org/10.3897/mycokeys.27.14866, URL: http://dx.doi.org/10.3897/mycokeys.27.14866
DOI: 10.5281/zenodo.1040291
title: Transmission Of Optical Analog Signals With 16Qam Modulation Scheme Using A 5Ghz Rf Carrier Signal

description: The specific data sets correspond to the transmission experiments carried out in laboratory settings to assess the performance of an analog optical link. The optical link is based on a commercial InP Mach-Zehnder modulator (MZM) with approximately 25GHz 3-dB bandwidth, which modulates the CW signal of a DFB laser diode at 1560 nm. The electrical signals driving the modulator were generated using a arbitrary waveform generator (AWG) with 20GHz analog bandwidth and 65GSa/s sampling rate (Keysight M8195A). Electrical 16QAM signals at 1GBaud having a 5GHz RF carrier and utilizing Raised Cosine pulse shaping filters were used to feed the MZM. The detection of the back-to-back signals was realized by means of a single 40GHz photodiode. The signals were acquired, sampled and stored using  Agilent Infinium DSO-X93304Q 33GHz, 80GSa/s real time oscilloscope.

The data sets have the name format of "ModulatorType_ModulationFormat_RFcarierFrequency_SignalBandwidth_FIlterType_Roll-offFactor_OpticalReceivedPower_#of run.bin" . As an example "MZM_16QAM_5GHz_1Gbaud_RC_035_-3dbm_run0.bin".

For each experimental set two instances were captured "run0, run1" in a slightly different time.
DOI: 10.5281/zenodo.1040292
title: Transmission Of Optical Analog Signals With 16Qam Modulation Scheme Using A 5Ghz Rf Carrier Signal

description: The specific data sets correspond to the transmission experiments carried out in laboratory settings to assess the performance of an analog optical link. The optical link is based on a commercial InP Mach-Zehnder modulator (MZM) with approximately 25GHz 3-dB bandwidth, which modulates the CW signal of a DFB laser diode at 1560 nm. The electrical signals driving the modulator were generated using a arbitrary waveform generator (AWG) with 20GHz analog bandwidth and 65GSa/s sampling rate (Keysight M8195A). Electrical 16QAM signals at 1GBaud having a 5GHz RF carrier and utilizing Raised Cosine pulse shaping filters were used to feed the MZM. The detection of the back-to-back signals was realized by means of a single 40GHz photodiode. The signals were acquired, sampled and stored using  Agilent Infinium DSO-X93304Q 33GHz, 80GSa/s real time oscilloscope.

The data sets have the name format of "ModulatorType_ModulationFormat_RFcarierFrequency_SignalBandwidth_FIlterType_Roll-offFactor_OpticalReceivedPower_#of run.bin" . As an example "MZM_16QAM_5GHz_1Gbaud_RC_035_-3dbm_run0.bin".

For each experimental set two instances were captured "run0, run1" in a slightly different time.
DOI: 10.5281/zenodo.112889
title: Tno-Cams European Co2 Emissions 2000-2014 V1

description: <strong>Introduction</strong>

This TNO_CAMS_CO2 emission dataset was prepared by TNO as a contribution to the H2020 project MACC-III and the subsequent Copernicus Atmospheric Monitoring Service. This model-ready historic emission inventory at high spatial resolution (~7x7 km) for UNECE-Europe for 15 consecutive years (2000–2014) providing CO<sub>2</sub> from fossil fuels and CO<sub>2</sub> from biofuels is intended to support modelling and sub-national scale identification of emissions. Where available and considered fit for purpose, we have used CO<sub>2</sub> estimates as reported by the Parties to UNFCCC. The data have been supplemented by other estimates, most notable from the IIASA GAINS model and the JRC EDGAR database to create a complete coverage.  The approach to the spatial distribution of the dataset is similar to the TNO-MACC emission dataset for air pollutants ( see Kuenen et al., ACP, 2014).

The emission grid consists of UNECE-Europe in WGS84 projection (lon-lat) with a spatial resolution of 1/8 x 1/16 degrees (lon x lat). The lower left of the grid is at lon = -60, lat = 30 and the upper right is at lon = 60, lat = 72.

The grid files TXT (.csv)  & netcdf (.nc) both contain annual total emissions per grid cell for the year 2000-2014. A separate file has been prepared for each year. 

The unit in the .csv files is Mg/gridcell/yr

The unit in the .nc files is kg/gridcell/yr

Sectoral breakdown  uses the SNAP classification. Compared to the default SNAP1 sectors (1 to 10), a couple of refinements have been made to the sectors:


	
	SNAP 3 and SNAP 4 are grouped as SNAP 34
	
	
	SNAP 7 is split in SNAP 71 to 75
	


The dataset is described in 

Denier van der Gon, H.A.C., J.J.P. Kuenen, G. Janssens-Maenhout, U. Döring, S. Jonkers, A.J.H. Visschedijk., TNO_CAMS high resolution European emission inventory for anthropogenic CO<sub>2</sub> for 2000-2014 and future years following two different pathways, ESSD, in preparation, 2017.
description: This data set is complementary to the TNO-MACC_III and future TNO-CAMS emissions data for air pollutants. contact hugo.deniervandergon@tno.nl or jeroen.kuenen@tno.nl for more information
DOI: 10.5281/zenodo.602615
title: Tno-Cams European Co2 Emissions 2000-2014 V1

description: <strong>Introduction</strong>

This TNO_CAMS_CO2 emission dataset was prepared by TNO as a contribution to the H2020 project MACC-III and the subsequent Copernicus Atmospheric Monitoring Service. This model-ready historic emission inventory at high spatial resolution (~7x7 km) for UNECE-Europe for 15 consecutive years (2000–2014) providing CO<sub>2</sub> from fossil fuels and CO<sub>2</sub> from biofuels is intended to support modelling and sub-national scale identification of emissions. Where available and considered fit for purpose, we have used CO<sub>2</sub> estimates as reported by the Parties to UNFCCC. The data have been supplemented by other estimates, most notable from the IIASA GAINS model and the JRC EDGAR database to create a complete coverage.  The approach to the spatial distribution of the dataset is similar to the TNO-MACC emission dataset for air pollutants ( see Kuenen et al., ACP, 2014).

The emission grid consists of UNECE-Europe in WGS84 projection (lon-lat) with a spatial resolution of 1/8 x 1/16 degrees (lon x lat). The lower left of the grid is at lon = -60, lat = 30 and the upper right is at lon = 60, lat = 72.

The grid files TXT (.csv)  & netcdf (.nc) both contain annual total emissions per grid cell for the year 2000-2014. A separate file has been prepared for each year. 

The unit in the .csv files is Mg/gridcell/yr

The unit in the .nc files is kg/gridcell/yr

Sectoral breakdown  uses the SNAP classification. Compared to the default SNAP1 sectors (1 to 10), a couple of refinements have been made to the sectors:


	
	SNAP 3 and SNAP 4 are grouped as SNAP 34
	
	
	SNAP 7 is split in SNAP 71 to 75
	


The dataset is described in 

Denier van der Gon, H.A.C., J.J.P. Kuenen, G. Janssens-Maenhout, U. Döring, S. Jonkers, A.J.H. Visschedijk., TNO_CAMS high resolution European emission inventory for anthropogenic CO<sub>2</sub> for 2000-2014 and future years following two different pathways, ESSD, in preparation, 2017.
description: This data set is complementary to the TNO-MACC_III and future TNO-CAMS emissions data for air pollutants. contact hugo.deniervandergon@tno.nl or jeroen.kuenen@tno.nl for more information
DOI: 10.5281/zenodo.1009518
title: Tno-Co2_Circe Projections (2018-2050)

description: To provide modellers with an emission dataset that is indicative of the possible future emissions in Europe under two different policy pathways we use two global emission scenarios developed by the EDGAR team in the CIRCE project (Doering et al., 2010).  The selected scenarios are a business-as-usual (BAU) and a climate change (CC) scenario. The two CIRCE scenarios contain detailed information about the development of individual source sector categories. By coupling these scenarios to TNO-CAMS gridded CO2 data, the emission changes in each grid-cell and for each region can be estimated in a spatially explicit manner. The projections start from the latest historic year in the the TNO_CAMS-CO2 data set, being 2014. The emission data can be used for e.g. for sensitivity tests, for example when designing a possible future observational system. The years covered in the data set are 2018, 2020, 2023, 2028, 2030, 2033, 2050. This selection has been made to include the 5-year time steps fro the global stocktake in the Paris Agreement. 

The emission grid consists of UNECE-Europe in WGS84 projection (lon-lat) with a spatial resolution of 1/8 x 1/16 degrees (lon x lat). The lower left of the grid is at lon = -60, lat = 30 and the upper right is at lon = 60, lat = 72.

The netcdf grid files (.nc)  contain annual total emissions per grid cell for the years 2018, 2020, 2023, 2028, 2030, 2033, 2050. A separate file has been prepared for each year and each scenario (BAU or CC). The unit in the .nc files is kg/gridcell/yr

Sectoral breakdown  uses the SNAP classification. Compared to the default SNAP1 sectors (1 to 10), the following change was made:


	
	SNAP 3 and SNAP 4 are grouped as SNAP 34
	
	
	SNAP 7 is split in SNAP 71 to 75
	


The dataset is described in 

Denier van der Gon, H.A.C., J.J.P. Kuenen, G. Janssens-Maenhout, U. Döring, S. Jonkers, A.J.H. Visschedijk., TNO_CAMS high resolution European emission inventory for anthropogenic and biogenic CO<sub>2</sub>  for 2000-2014 and future years following two different pathways, ESSD, in preparation, 2017.