cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2613378
title: Dataset of FEUTURE Online Paper No. 10 "Knowledge Cohesion in European Regions: Convergence and Cohesion with Turkey"

description: The dataset provides network statistics based on the EU Framework Programme data from the first round (FP1, 1984-1987) till the last round (FP8 -H2020, 2013-2020) (Nodes (Vertices), Unique Edges, Edges With Duplicates, Total Edges,  Self-Loops, Average Geodesic Distance, Graph Density,  Average Degree, Average Betweenness, Centrality Average Closeness, Centrality Average Eigenvector, Centrality Average Clustering Coefficient).
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.2611686
title: Dataset of FEUTURE Online Paper No. 9 "The Financial Flows and the Future of EU-Turkey Relations"

description: The dataset provides the annual GDP (in US Dollar) and the annaul GDP growth (in %) of Turkey between 1960 and 2016.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.2611687
title: Dataset of FEUTURE Online Paper No. 9 "The Financial Flows and the Future of EU-Turkey Relations"

description: The dataset provides the annual GDP (in US Dollar) and the annaul GDP growth (in %) of Turkey between 1960 and 2016.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.2611783
title: Dataset of FEUTURE Online Paper No. 8 "Understanding the EU-Turkey Sectoral Trade Flows During 1990-2016: a Trade Gravity Approach"

description: The dataset provides the following variables for 1990-2016 for Austria Belgium, Bulgaria, China, Denmark, France, Germany, Greece, Hungary, Iran, Ireland, Italy, Japan, Netherlands, Poland, Russia, Spain, Sweden, UK, and USA: 

- Total export and import (in USD and %)

- Intermediate goods exports and imports (in USD and %)

- Household goods exports and imports (in USD and %)

- Capital goods exports and imports (in USD and %)

- Mixed-end exports and imports (in USD and %)

- Miscellaneous exports and imports (in USD and %)
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.2612008
title: Dataset of FEUTURE Online Paper No. 10 "Knowledge Cohesion in European Regions: Convergence and Cohesion with Turkey" - Data on PhD

description: The dataset of the paper on "Flow of Knowledge" consists of the following variables: 

- Doctorate holders by region of doctoral award 2009

- Mobility intentions of doctorate holders by intended region of destination in year 2009

- Principal job of employed doctorate holders by occupation and field of science, 2009 

- Doctorate holders' satisfaction level on their principal job by selected title,  2009

- Recent doctorate recipients' satisfaction level on their principal job by selected title, 2009

- Doctorate holders by sector of employed and sex, 2009

- Recent doctorate recipients' average and median gross annual earnings by sector of employed and sex, 2009

- Employed doctorate holders : perception regarding their job qualification by field of doctorate degree, 2009

- Doctorate holders by employment situation and sex, 2009

- Doctorate recepients's average and median gross annual earnings by sector of employed and sex, 2009

- Recent doctorate recipients' avarage and median age at graduation and gross and net time to compilation their qualification by field of doctorate degree, 2009

- Doctorate holders by age group and sex, 2009

- Employed doctotare holders by employment situation, type of contract, working time in current employment and sex, 2009

- Proportion of recent(**) doctorate recipients by field of doctorate degree and primary(*) source of funding during completion doctorate, 2009 

- Employment situation of doctorate holders by sex and year of doctorate award, 2009

- Recent doctorate recipients by employment situation and sex, 2009

- Doctorate recepints' avarage and median age at graduation and gross and net time to compilation their qualification by field of doctorate degree, 2009

- Doctorate holders who moved out Turkey for a period of at least 3 months between January 2000 and December 2009(*)

- Principal job of employed recent doctorate recipients by occupation, 2009

- Reasons of mobility intentions of doctorate holders in the next 12 months

- Proportion of doctorate holders by field of doctorate degree and primary(*) source of funding during completion doctorate, 2009
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.2612009
title: Dataset of FEUTURE Online Paper No. 10 "Knowledge Cohesion in European Regions: Convergence and Cohesion with Turkey" - Data on PhD

description: The dataset of the paper on "Flow of Knowledge" consists of the following variables: 

- Doctorate holders by region of doctoral award 2009

- Mobility intentions of doctorate holders by intended region of destination in year 2009

- Principal job of employed doctorate holders by occupation and field of science, 2009 

- Doctorate holders' satisfaction level on their principal job by selected title,  2009

- Recent doctorate recipients' satisfaction level on their principal job by selected title, 2009

- Doctorate holders by sector of employed and sex, 2009

- Recent doctorate recipients' average and median gross annual earnings by sector of employed and sex, 2009

- Employed doctorate holders : perception regarding their job qualification by field of doctorate degree, 2009

- Doctorate holders by employment situation and sex, 2009

- Doctorate recepients's average and median gross annual earnings by sector of employed and sex, 2009

- Recent doctorate recipients' avarage and median age at graduation and gross and net time to compilation their qualification by field of doctorate degree, 2009

- Doctorate holders by age group and sex, 2009

- Employed doctotare holders by employment situation, type of contract, working time in current employment and sex, 2009

- Proportion of recent(**) doctorate recipients by field of doctorate degree and primary(*) source of funding during completion doctorate, 2009 

- Employment situation of doctorate holders by sex and year of doctorate award, 2009

- Recent doctorate recipients by employment situation and sex, 2009

- Doctorate recepints' avarage and median age at graduation and gross and net time to compilation their qualification by field of doctorate degree, 2009

- Doctorate holders who moved out Turkey for a period of at least 3 months between January 2000 and December 2009(*)

- Principal job of employed recent doctorate recipients by occupation, 2009

- Reasons of mobility intentions of doctorate holders in the next 12 months

- Proportion of doctorate holders by field of doctorate degree and primary(*) source of funding during completion doctorate, 2009
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.2611782
title: Dataset of FEUTURE Online Paper No. 8 "Understanding the EU-Turkey Sectoral Trade Flows During 1990-2016: a Trade Gravity Approach"

description: The dataset provides the following variables for 1990-2016 for Austria Belgium, Bulgaria, China, Denmark, France, Germany, Greece, Hungary, Iran, Ireland, Italy, Japan, Netherlands, Poland, Russia, Spain, Sweden, UK, and USA: 

- Total export and import (in USD and %)

- Intermediate goods exports and imports (in USD and %)

- Household goods exports and imports (in USD and %)

- Capital goods exports and imports (in USD and %)

- Mixed-end exports and imports (in USD and %)

- Miscellaneous exports and imports (in USD and %)
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.2616556
title: Yearly Estimation of Ecological Functional Attributes of vegetation  from 2005-2010 over the Peneda Geres National Park

description: Yearly Estimation of Ecological Functional Attributes of vegetation using MSAVI index based on Landsat data from 2005-2010 over the Peneda Geres National Park
DOI: 10.5281/zenodo.2616557
title: Yearly Estimation of Ecological Functional Attributes of vegetation  from 2005-2010 over the Peneda Geres National Park

description: Yearly Estimation of Ecological Functional Attributes of vegetation using MSAVI index based on Landsat data from 2005-2010 over the Peneda Geres National Park
DOI: 10.5061/dryad.qg41t6k/1
title: measured characteristics of acoustic signals from seismic surveys and pile driving
DOI: 10.21227/y3b4-9x92
title: Footstep analysis using Pressure Sensors

description: The pressure sensors are represented by black circles, which are located in the three zones of each foot. For the left foot: S1 and S2 cover the forefoot area. S3, S4, and S5 the midfoot area. S6 and S7 the rearfoot or heel area. Similarly, for the right foot: S8 and S9 represent the forefoot area. S10, S11, S12 the midfoot area. S13 and S14 the heel area. The values of each sensor are read by the analog inputs of an Arduino mega 2560.
DOI: 10.21227/kbdc-h438
title: FOOTSTEP ANALYSIS USING PRESSURE SENSORS

description: The pressure sensors are represented by black circles, which are located in the three zones of each foot. For the left foot: S1 and S2 cover the forefoot area. S3, S4, and S5 the midfoot area. S6 and S7 the rearfoot or heel area. Similarly, for the right foot: S8 and S9 represent the forefoot area. S10, S11, S12 the midfoot area. S13 and S14 the heel area. The values of each sensor are read by the analog inputs of an Arduino mega 2560.
DOI: 10.25545/mnkr4e/0ewhyv
title: tasmin.7z

description: Monthly average of daily minimum temperature for 1900-2015
DOI: 10.25545/mnkr4e/durwnc
title: cmi.7z

description: Monthly Climate Moisture Index (ppt-pet) from 1900 to 2015
DOI: 10.25545/mnkr4e/qesetv
title: pr.7z

description: Monthly sum of precipitation from 1900 to 2015
DOI: 10.25545/mnkr4e/wwp4pj
title: tasmax.7z

description: Monthly average of daily maximum temperature (1900-2015)
DOI: 10.18430/m36o3f
title: X-ray diffraction data for the crystal Structure of Lysyl-tRNA Synthetase from Chlamydia trachomatis with complexed with L-lysine and a difluoro cyclohexyl chromone ligand (6O3F)
DOI: 10.18430/m36nup
title: X-ray diffraction data for the structure of thioredoxin (trxA) from Rickettsia prowazekii str. Madrid E. (6NUP)
DOI: 10.5286/isis.e.rb1820439-1
title: 1820439
DOI: 10.21227/58pm-y678
title: Footstep analysis using Pressure Sensors

description: The pressure sensors are represented by black circles, which are located in the three zones of each foot. For the left foot: S1 and S2 cover the forefoot area. S3, S4, and S5 the midfoot area. S6 and S7 the rearfoot or heel area. Similarly, for the right foot: S8 and S9 represent the forefoot area. S10, S11, S12 the midfoot area. S13 and S14 the heel area. The values of each sensor are read by the analog inputs of an Arduino mega 2560.
DOI: 10.18141/1503686
title: Oklahoma Wellbore Rasters

description: Seven raster surfaces generated from wellbore information that are thought to influence fluid and or gas migration in the subsurface. Wellbore information was originally retrieved from the IHS Energy Group (current as of April 2015), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Processing of wellbore information into gridded cells was performed to provide a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. These rasters were developed to serve as inputs to the SIMPA (Spatially Weighted Multivariate Probabilistic Assessment) tool. Each raster surface is a derivative product of wellbore dataset. Each raster represents a single wellbore attribute or combination of attributes that speak to the following wellbore characteristics: number of recompletions, year spud, year abandoned, year completed, number of abandoned wells, hole direction, switch from production to injection. The original wellbore information, retrieved from the IHS Energy Group, are in the form of points – these derivative rasters aggregate point attributes to approximately 1,000-meter resolution grid cells. Each raster only includes cells that contain wellbores with the characteristics represented in each surface (i.e. if the wellbores in a given cell have no year abandoned data, the cell is not included in the raster). Since the raster cells combine data from multiple points in many cases, methods such as the average, minimum, and count are used to summarize the information in each cell. The specific operations used to develop each raster are detailed in its metadata.
DOI: 10.18141/1503707
title: Oklahoma structural complexity data

description: Zipped file contains raster data (TIF) files and thumbnail image (PNG) files associated with modeling known and predicting structural complexity (SC) for the state of Oklahoma, two SIMPA simulation files (.SIJN) and two README (.txt) files to run both the known SC and proxy SC models using the SIMPA tool, and a "Source data catalog.xlsx" file that provides information on the source data and how it was used to represent each raster Note: Metadata including processing steps can be viewed in ESRI's ArcCatalog software
DOI: 10.5286/isis.e.rb1910185-1
title: 1910185
DOI: 10.17632/nnj86jjmhr.1
title: Data for: How Effective Are Early Grade Reading Interventions? A Review of the Evidence

description: Data used for "How Effective Are Early Grade Reading Interventions? A Review of the Evidence"
DOI: 10.17632/vpmzh9wc39.1
title: Data for: Variation in nestling feather mercury concentrations at individual, brood, and breeding colony levels: implications for sampling mercury in birds.
DOI: 10.21227/fx3k-4149
title: Footstep analysis using Pressure Sensors

description: The pressure sensors are represented by black circles, which are located in the three zones of each foot. For the left foot: S1 and S2 cover the forefoot area. S3, S4, and S5 the midfoot area. S6 and S7 the rearfoot or heel area. Similarly, for the right foot: S8 and S9 represent the forefoot area. S10, S11, S12 the midfoot area. S13 and S14 the heel area. The values of each sensor are read by the analog inputs of an Arduino mega 2560.
DOI: 10.17632/kz9nr385gz.1
title: Data for: Weight-Bearing in Ankle Fractures: UK adherence to the NICE Guidance

description: Map of collaborators
DOI: 10.17632/s4xj73x6m5.1
title: Data for: Weight-Bearing in Ankle Fractures: UK adherence to the NICE Guidance

description: Weight-bearing practise for non-operatively treated ankle fractures listed by hospital
DOI: 10.21227/xwbb-7b09
title: Footstep analysis using Pressure Sensors

description: The pressure sensors are represented by black circles, which are located in the three zones of each foot. For the left foot: S1 and S2 cover the forefoot area. S3, S4, and S5 the midfoot area. S6 and S7 the rearfoot or heel area. Similarly, for the right foot: S8 and S9 represent the forefoot area. S10, S11, S12 the midfoot area. S13 and S14 the heel area. The values of each sensor are read by the analog inputs of an Arduino mega 2560.
DOI: 10.25919/5c9efd123eb98
title: Parkes observations for project P789 semester 2018OCTS_18

description: Recently there has been great success at Parkes discovering millisecond pulsars (MSPs), a class that includes some of the most interesting and scientifically valuable pulsars known. In the last few years, we have discovered more than 40 MSPs though the High Time Resolution Universe Survey (P630) and Fermi searches (P675/P814). Here we propose to carry out precision timing of these sources to fully exploit these discoveries. Additionally, we continue to study the most significant of the discoveries from the Parkes Multibeam Pulsar Survey (P268). 
To maximise scientific impact, we have combined the most important sources from various previous proposals into this project, reducing total observation time required and easing the burden on the scheduler.
DOI: 10.25919/5c9efdc048867
title: Parkes observations for project P789 semester 2018OCTS_19

description: Recently there has been great success at Parkes discovering millisecond pulsars (MSPs), a class that includes some of the most interesting and scientifically valuable pulsars known. In the last few years, we have discovered more than 40 MSPs though the High Time Resolution Universe Survey (P630) and Fermi searches (P675/P814). Here we propose to carry out precision timing of these sources to fully exploit these discoveries. Additionally, we continue to study the most significant of the discoveries from the Parkes Multibeam Pulsar Survey (P268). 
To maximise scientific impact, we have combined the most important sources from various previous proposals into this project, reducing total observation time required and easing the burden on the scheduler.
DOI: 10.25919/5c9efe4102be9
title: Parkes observations for project P991 semester 2018OCTS_01

description: Finding radio pulsars orbiting near Sgr A* is a major goal of pulsar surveys with existing telescopes and future telescopes such as the Square Kilometer Array (SKA). The discovery of such pulsars will allow us to measure relativistic effects through timing of pulsars in tight orbits around Sgr A*, to characterise the distribution of dark matter near Sgr A*, to study the stellar population in the GC region and to probe the scattering region around Sgr A*. Although several surveys of the GC region have done, the Ultra-Wideband Low (UWL) receiver provides us a much wider frequency coverage with great sensitivity and therefore it is an excellent chance to revisit the GC region. At around 4GHz, a survey with UWL will achieve a sensitivity significantly higher than previous Parkes and Green Bank surveys, especially for pulsars with short spin periods and high dispersion measures.
DOI: 10.17632/r7nr3269w9.1
title: Data for: Distant swells and their impacts on atolls and tropical coastlines. The example of submersions produced by lagoon filling and flushing currents in French Polynesia during 1996 and 2011 mega swells.

description: Swell (Hs, period, azimuth) South of Makemo (17.5 ° S and 144 ° W) between 1979 and 2008. (WW3 forecasting model). Excel
DOI: 10.6073/pasta/f46e24e3092544a5404ed35d85876f77
title: Land Cover Classification for Hog Island, VA, 2018

description: Image processing/classification of Sentinel-2 imagery (2018 Summer scene) was used to produce a land cover classification of Hog Island, Virginia. Using Random Forests classifier the accuracy obtained was 86%. 
      The different cover types include:
       1. Trees
       2. Shadow
       3. Spartina patens (Sprobolus pumilus)
       4. SeaWater
       5. Brackish
       6. Morella cerifera
       7. Beach Sand
       8. Inter Tidal
       9. Water
DOI: 10.5066/p9xigjt0
title: Indo-West Pacific species of Trachinotus with spots on their sides as adults, with description of a new species endemic to the Marquesas Islands (Teleostei: Carangidae)

description: The dataset is a composite of morphological data used in the description of a new species of marine fish, Trachinotus macrospilus (Teleostei: Carangidae), endemic to the Marquesas Islands of the Indo-West Pacific. In the addition to the newly described species, three previously named (nominate) species of the same genus are compared and redescribed in this same manuscript. The morphological data include both mensural (morphometric) and meristic (count) data. Synonymies are provided for all species, since many misidentifications have been made in the literature, which dates to the early 1800's.
DOI: 10.21227/8sy0-xk27
title: Self-Writing of Tapered Pillars in UV-Curable Resin for Spot-Size Conversion

description: A new approach for fabricating spot size converters (SSCs), using self-written tapered pillars, is reported. The method uses a UV-curable resin and mask transfer technique in order to fabricate pillar structures. These structures are designed to couple from Si-wire waveguides to silica single mode fiber (SMF).The technique improvises upon classic single shot fabrication, previously reported using an aperture-limited self-written waveguide (SWW) approach. Design optimization of the SSC was inferred through using a beam propagation method (BPM). A prototype of 24 arrayed SSCs with a 250 µm pitched separation was successfully fabricated using a photomask. Measurement of the Near Field Pattern (NFP) and Far Field Pattern (FFP) verified that the arrayed SSCs share similar light propagation characteristics.
DOI: 10.21227/ryj2-qy89
title: Self-Writing of Tapered Pillars in UV-Curable Resin for Spot-Size Conversion

description: A new approach for fabricating spot size converters (SSCs), using self-written tapered pillars, is reported. The method uses a UV-curable resin and mask transfer technique in order to fabricate pillar structures. These structures are designed to couple from Si-wire waveguides to silica single mode fiber (SMF).The technique improvises upon classic single shot fabrication, previously reported using an aperture-limited self-written waveguide (SWW) approach. Design optimization of the SSC was inferred through using a beam propagation method (BPM). A prototype of 24 arrayed SSCs with a 250 µm pitched separation was successfully fabricated using a photomask. Measurement of the Near Field Pattern (NFP) and Far Field Pattern (FFP) verified that the arrayed SSCs share similar light propagation characteristics.
DOI: 10.21227/s9r6-ar57
title: Self-Writing of Tapered Pillars in UV-Curable Resin for Spot-Size Conversion

description: A new approach for fabricating spot size converters (SSCs), using self-written tapered pillars, is reported. The method uses a UV-curable resin and mask transfer technique in order to fabricate pillar structures. These structures are designed to couple from Si-wire waveguides to silica single mode fiber (SMF).The technique improvises upon classic single shot fabrication, previously reported using an aperture-limited self-written waveguide (SWW) approach. Design optimization of the SSC was inferred through using a beam propagation method (BPM). A prototype of 24 arrayed SSCs with a 250 µm pitched separation was successfully fabricated using a photomask. Measurement of the Near Field Pattern (NFP) and Far Field Pattern (FFP) verified that the arrayed SSCs share similar light propagation characteristics.