cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.836211
title: Indicator For The Current And Future Socio-Ecological Burden Caused By The Expansion Of Wind Energy In German Districts

description: The data table lists the calculated present burden (IST-Belastungsgrad) based on the year 2014 and the maximum possible burden (MAX-Belastungsgrad) on the population caused by the further expansion of wind energy. The so-called burden level is calculated accounting for the area occupied by wind turbines, the total area of a district and the population density. Additionally the table holds data on possible future burden levels based on two scenarios for the year 2050. Each district can be identified by its key, "Regionalschlüssel", and corresponding geo data (EPSG: 25832) of the administrative area provided by the Federal Agency for Cartography and Geodesy: © GeoBasis-DE / BKG 2014 (data was changed).

The dataset was created in the context of the interdisciplinary research project VerNetzen and is described in detail in the final project report: VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., pp. 98-118, 143-145.

<strong><em>Deutsch:</em></strong>

Die Tabelle enthält u.a. den derzeitigen Belastungsgrad, festgestellt für das Jahr 2014, und den maximal möglichen Belastungsgrad je Landkreis. Der Belastungsgrad ist ein Indikator für die durch den Zubau von Windenergie betroffene Bevölkerung und berechnet sich aus der Gesamtfläche eines Landkreises, der für die Windenergie genutzten Fläche und der Bevölkerungsdichte. In der Tabelle sind ebenfalls mögliche zukünftige Belastungsgrade auf Grundlage zweier Projektszenarien für das Jahr 2050 enthalten. Die jeweiligen Landkreise können mit dem Regionalschlüssel oder den geographischen Daten (EPSG: 25832) des Bundesamtes für Kartographie und Geodäsie zugeordnet werden: © GeoBasis-DE / BKG 2014 (Daten verändert).

Der Datensatz ist im Kontext des interdisziplinären Forschungsprojekts VerNetzen entstanden und ist ausführlich im Projektabschlussbericht beschrieben: VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., S.98-118, S.143-145.
DOI: 10.5281/zenodo.836212
title: Indicator For The Current And Future Socio-Ecological Burden Caused By The Expansion Of Wind Energy In German Districts

description: The data table lists the calculated present burden (IST-Belastungsgrad) based on the year 2014 and the maximum possible burden (MAX-Belastungsgrad) on the population caused by the further expansion of wind energy. The so-called burden level is calculated accounting for the area occupied by wind turbines, the total area of a district and the population density. Additionally the table holds data on possible future burden levels based on two scenarios for the year 2050. Each district can be identified by its key, "Regionalschlüssel", and corresponding geo data (EPSG: 25832) of the administrative area provided by the Federal Agency for Cartography and Geodesy: © GeoBasis-DE / BKG 2014 (data was changed).

The dataset was created in the context of the interdisciplinary research project VerNetzen and is described in detail in the final project report: VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., pp. 98-118, 143-145.

<strong><em>Deutsch:</em></strong>

Die Tabelle enthält u.a. den derzeitigen Belastungsgrad, festgestellt für das Jahr 2014, und den maximal möglichen Belastungsgrad je Landkreis. Der Belastungsgrad ist ein Indikator für die durch den Zubau von Windenergie betroffene Bevölkerung und berechnet sich aus der Gesamtfläche eines Landkreises, der für die Windenergie genutzten Fläche und der Bevölkerungsdichte. In der Tabelle sind ebenfalls mögliche zukünftige Belastungsgrade auf Grundlage zweier Projektszenarien für das Jahr 2050 enthalten. Die jeweiligen Landkreise können mit dem Regionalschlüssel oder den geographischen Daten (EPSG: 25832) des Bundesamtes für Kartographie und Geodäsie zugeordnet werden: © GeoBasis-DE / BKG 2014 (Daten verändert).

Der Datensatz ist im Kontext des interdisziplinären Forschungsprojekts VerNetzen entstanden und ist ausführlich im Projektabschlussbericht beschrieben: VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., S.98-118, S.143-145.
DOI: 10.5281/zenodo.844604
title: Indicator For The Current And Future Socio-Ecological Burden Caused By The Expansion Of Wind Energy In German Districts - Auxiliary Values

description: The table contains the population and the size of the total area for each German district as of 2013. Furthermore it contains the size of those areas per district, that potentially could be used for wind energy.

The data on the population is provided by the Federal Statistical Office and the statistical Offices of the Länder: © Federal Statistical Office and the statistical Offices of the Länder, Regionaldatenbank Deutschland, December 2014, Datenlizenz by-2-0 (https://www.govdata.de/dl-de/by-2-0) (data was changed). The total district area is derived from geo data provided by the Federal Agency for Cartography and Geodesy: © GeoBasis-DE / BKG 2014 (data was changed).

For further information on potential areas see VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., pp. 105-109.

<em><strong>Deutsch:</strong></em>

Die Tabelle umfasst die Bevölkerungsanzahl und Flächengröße je deutschem Landkreis für das Jahr 2013. Außerdem ist die Größe jener Fläche angegeben, die potentiell für die Windenergie genutzt werden könnte.

Die Bevölkerungszahlen werden von den Statistischen Ämtern des Bundes und der Länder zur Verfügung gestellt: © Statistische Ämter des Bundes und der Länder, Regionaldatenbank Deutschland, Dezember 2014, Datenlizenz by-2-0 (https://www.govdata.de/dl-de/by-2-0) (Daten geändert). Die Landkreisflächen werden auf Grundlage von Geodaten des Bundesamtes für Kartographie und Geodäsie berechnet: © GeoBasis-DE / BKG 2014 (Daten geändert).

Für weitere Informationen bzgl. der Potentialflächen siehe VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., S. 105-109.
DOI: 10.15468/k1tp9x
title: Two novel species of Calonectria isolated from soil in a natural forest in China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, QianLi, Chen, ShuaiFei (2017): Two novel species of Calonectria isolated from soil in a natural forest in China. MycoKeys 26: 25-60, DOI: http://dx.doi.org/10.3897/mycokeys.26.14688, URL: http://dx.doi.org/10.3897/mycokeys.26.14688
DOI: 10.17632/5fnxs6b557.1
title: Electromagnetic Calorimeter Shower Images with Variable Incidence Angle and Position

description: Each file is a collection of 500,000 (or 400,000 in the case of pions) calorimeter showers corresponding to the particle specified in the file name (eplus = positrons, gamma = photons, piplus = charged pions). The calorimeter we built is segmented longitudinally into three layer with different depths and granularities. In units of mm, the three layers have the following (eta, phi, z) dimensions: Layer 0: (5, 160, 90) | Layer 1: (40, 40, 347) | Layer 2: (80, 40, 43) In the HDF5 files, the `energy` entry specifies the true energy of the incoming particle in units of GeV. `layer_0`, `layer_1`, and `layer_2` represents the energy deposited in each layer of the calorimeter in an image data format. Given the segmentation of each calorimeter layer, these images have dimensions 3x96 (in layer 0), 12x12 (in layer 1), and 12x6 (in layer 3). The `overflow` contains the amount of energy that was deposited outside of the calorimeter section we are considering. The fields `x0`, `y0`, `z0`, `t0`, `px`, `py`, `pz` provide position and kinematic information of incident particles upon impact.
DOI: 10.17632/5fnxs6b557.2
title: Electromagnetic Calorimeter Shower Images with Variable Incidence Angle and Position

description: Each file is a collection of 500,000 (or 400,000 in the case of positrons) calorimeter showers corresponding to the particle specified in the file name (eplus = positrons, gamma = photons, piplus = charged pions). The calorimeter we built is segmented longitudinally into three layer with different depths and granularities. In units of mm, the three layers have the following (eta, phi, z) dimensions: Layer 0: (5, 160, 90) | Layer 1: (40, 40, 347) | Layer 2: (80, 40, 43) In the HDF5 files, the `energy` entry specifies the true energy of the incoming particle in units of GeV. `layer_0`, `layer_1`, and `layer_2` represents the energy deposited in each layer of the calorimeter in an image data format. Given the segmentation of each calorimeter layer, these images have dimensions 3x96 (in layer 0), 12x12 (in layer 1), and 12x6 (in layer 3). The `overflow` contains the amount of energy that was deposited outside of the calorimeter section we are considering. The fields `x0`, `y0`, `z0`, `t0`, `px`, `py`, `pz` provide position and kinematic information of incident particles upon impact.
DOI: 10.17632/yd78j6s8d9.1
title: On mechanism behind UV-A light enhanced antibacterial activity of gallic acid and propyl gallate against Escherichia coli O157:H7

description: Primary data for each figure in the article cited in the link.
DOI: 10.24388/x30001006
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 4, open circle

description: Initial composition: CO O2 H2O N2
DOI: 10.5258/soton/d0221
title: Dataset supporting the paper entitled "Run-time Performance and Power Optimization of a Parallel Disparity Estimation Algorithm on Many-Core Platforms"

description: This dataset supports the paper entitled "Run-time Performance and Power Optimization of a Parallel Disparity Estimation Algorithm on Many-Core Platforms" accepted for publication in the journal ACM Transactions on Embedded Computing Systems (TECS).
DOI: 10.5281/zenodo.844603
title: Indicator For The Current And Future Socio-Ecological Burden Caused By The Expansion Of Wind Energy In German Districts - Auxiliary Values

description: The table contains the population and the size of the total area for each German district as of 2013. Furthermore it contains the size of those areas per district, that potentially could be used for wind energy.

The data on the population is provided by the Federal Statistical Office and the statistical Offices of the Länder: © Federal Statistical Office and the statistical Offices of the Länder, Regionaldatenbank Deutschland, December 2014, Datenlizenz by-2-0 (https://www.govdata.de/dl-de/by-2-0) (data was changed). The total district area is derived from geo data provided by the Federal Agency for Cartography and Geodesy: © GeoBasis-DE / BKG 2014 (data was changed).

For further information on potential areas see VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., pp. 105-109.

<em><strong>Deutsch:</strong></em>

Die Tabelle umfasst die Bevölkerungsanzahl und Flächengröße je deutschem Landkreis für das Jahr 2013. Außerdem ist die Größe jener Fläche angegeben, die potentiell für die Windenergie genutzt werden könnte.

Die Bevölkerungszahlen werden von den Statistischen Ämtern des Bundes und der Länder zur Verfügung gestellt: © Statistische Ämter des Bundes und der Länder, Regionaldatenbank Deutschland, Dezember 2014, Datenlizenz by-2-0 (https://www.govdata.de/dl-de/by-2-0) (Daten geändert). Die Landkreisflächen werden auf Grundlage von Geodaten des Bundesamtes für Kartographie und Geodäsie berechnet: © GeoBasis-DE / BKG 2014 (Daten geändert).

Für weitere Informationen bzgl. der Potentialflächen siehe VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., S. 105-109.
DOI: 10.17632/jz3ptzjngc.3
title: MOLECULAR-CELL-D-17-00400_Kang et al_raw data

description: We describe the previously described Acylglycerol Kinase, AGK as a subunit of the human TIM22 complex
DOI: 10.17632/jz3ptzjngc.4
title: MOLECULAR-CELL-D-17-00400_Kang et al_raw data

description: We describe the previously described Acylglycerol Kinase, AGK as a subunit of the human TIM22 complex
DOI: 10.17632/smzt8b34kc.1
title: The Theory of Planned Behavior, Past Behavior, and the Decision to Text while Driving among Young Adults

description: The data contain responses to items related to young adults’ beliefs surrounding the decision to text while driving. The data were collected via a Qualtrics survey administered in a lab. Participants were a diverse sample of 259 undergraduates from a medium-sized university in the United States. The data presents age, sex, GPA, distracted driving exposure, and variables related to the Theory of Planned Behavior (TPB).
DOI: 10.17632/xwcyrwpy8k.3
title: Delta-secretase Phosphorylation by SRPK2 Enhances its Enzymatic Activity, Provoking the Pathogenesis in Alzheimer’s Disease- A Study of Zhi-Hao Wang Sample

description: These are the original images of the manuscript "Delta-secretase Phosphorylation by SRPK2 Enhances its Enzymatic Activity, Provoking the Pathogenesis in Alzheimer's Disease", by Wang et al.
DOI: 10.24388/x30001007
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 4, full circle

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001008
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 6, open square

description: Initial composition: CO O2 H2O N2
DOI: 10.17632/97zwpbfzdm.3
title: NGS analysis of HTT editing in vitro and in vivo

description: Tables S2-S3: Next-generation sequencing (NGS; MiSeq) analysis of on-target editing evaluating deletions and insertions (indels) in the CRISPR-HTT group in vitro and in vivo. For each experiment (in vitro and in vivo), the dataset is composed of an excel file giving for each read, the length, the alignment score (to the reference sequence), the CIGAR string and whether indels were detected closed to expected cleavage site or not. Tables S4-S5: Potential off-target sites for sgHTT and sgCas9 were assessed with the Bioconductor package CRISPRseek with default parameters. The tables report the potential off-targets for each sgRNA with a score equal or above 1.
DOI: 10.24388/x30001009
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 6, full triangle

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001010
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 6, full circle

description: Initial composition: CO O2 H2O N2
DOI: 10.17632/4w7mhmm2ry.1
title: Intrusion data and deformation structures at Piton des Neiges volcano (La Réunion Island)

description: This dataset contains the structural data measured on Piton des Neiges volcano (La Réunion island) from 2009 to 2016. The data are composed of intrusion data and of brittle deformation structures found in the field. Most of the data were measured in highly eroded areas in the central part of the edifice called the cirques: - Cirque of Cilaos : files PDN_CIL - Cirque of Salazie: files PDN_SAL - Cirque of Mafate: files PDN_MAF Other data were measured on the outer flanks of the edifice : files PDN_FLKS. Data are provided in two formats : .csv and .wtd. This latter can be opened with the free TENSOR program (http://www.damiendelvaux.be/Tensor/WinTensor/win-tensor.html) PLEASE DOWNLOAD THE "READ ME FIRST" TEXTFILE FOR A COMPLETE DESCRIPTION OF THE DATA FILES Related articles : Chaput, M., Famin, V. and Michon, L., 2017. Sheet intrusions and deformation of Piton des Neiges, and their implication for the volcano-tectonics of La Réunion, Tectonophysics, accepted Chaput, M., Famin, V. and Michon, L., 2014. Deformation of basaltic shield volcanoes under cointrusive stress permutations. Journal of Geophysical Research: Solid Earth, 119(1): 274-301. Famin, V. and Michon, L., 2010. Volcano destabilization by magma injections in a detachment. Geology, 38(3): 219-222.
DOI: 10.17632/w2ym383bp8.1
title: Adaptive evolution leads to cross-species incompatibility in the piRNA transposon silencing machinery

description: Contains mass spectrometry scaffold files for immuno-precipitated samples and also cloned rhi and del gene sequences used in this study
DOI: 10.24388/x30001011
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 9, open circle

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001012_x
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 9, open triangle

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001013_x
title: T. J. Kim; R. A. Yetter; F. L. Dryer, in: Proceedings of the Combustion Institute, 1994; Vol. 25, pp 759-766, Fig. 9, full triangle

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001014
title: P. Glarborg; D. Kubel; K. DamJohansen; H. M. Chiang; J. W. Bozzelli, International Journal of Chemical Kinetics 1996, 28, (10), 773-790, Fig. 6 top, set 2, open circle, CO profile measured (CO/O2/H2O/N2)

description: Initial composition: CO O2 H2O N2
DOI: 10.5066/f7w9582w
title: Evapotranspiration within Blue Cypress Marsh, Vero Beach, Florida, 2014 to 2016

description: The dataset consists of a table in CSV format of daily evapotranspiration (ET) from an ET station within the Blue Cypress Marsh Conservation Area. Evapotranspiration data were estimated using eddy-covariance methods from 10/21/2014 to 9/30/2016.  Data processing followed methods outlined by Shoemaker and others (2011).  Ancillary data includes net radiation, latent heat, sensible heat, relative humidity, air temperature, water distance above (+) or below (-) land surface, and Bowen's ratio.  Net radiation data were bad from 3/17/2015 to 5/14/2015 due to missing values for long-wave radiation.  During this time period, net radiation was gap-filled using a linear regression of continuous GOES incoming solar radiation with high quality net radiation data collected from 1/1/2000 to 9/1/2005. The site location is 27°41'46",  -80°42'43".
DOI: 10.24388/x30001015
title: P. Glarborg; D. Kubel; K. DamJohansen; H. M. Chiang; J. W. Bozzelli, International Journal of Chemical Kinetics 1996, 28, (10), 773-790, Fig. 6 bottom, set 3, open circle, CO profile measured (CO/O2/H2O/N2)

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001016
title: M. U. Alzueta; R. Bilbao; P. Glarborg, Combustion and Flame 2001, 127, (4), 2234-2251, Fig. 4 top, open circle, set 1a

description: Initial composition: CO O2 H2O N2
DOI: 10.5281/zenodo.846638
title: Supplement_Stochastic_Reconstruction_And_Interpolation_Of_Precipitation_Fields_Using_Combinded_Information_Cml_And_Rg

description: This file includes the synthetic dataset used in the study "Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges", including the full synthetic reference fields (VR_precip_h_30052013_02062013.nc) as well as the used synthetic rain gauge (precip_VRObs_dry+wet_30052013_02062013_Pgr1mm.csv) and commercial microwave links (VROBS_MWL_selection_Pgr1mm.csv) input data.

The simulated ensembles of possible realizations of the precipitation fields are stored for the synthetic (simulation_VR) and real (simulation_realworld) world dataset. A corresponding description of the grid can be found in gridinfo.txt.
DOI: 10.5281/zenodo.846639
title: Supplement_Stochastic_Reconstruction_And_Interpolation_Of_Precipitation_Fields_Using_Combinded_Information_Cml_And_Rg

description: This file includes the synthetic dataset used in the study "Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges", including the full synthetic reference fields (VR_precip_h_30052013_02062013.nc) as well as the used synthetic rain gauge (precip_VRObs_dry+wet_30052013_02062013_Pgr1mm.csv) and commercial microwave links (VROBS_MWL_selection_Pgr1mm.csv) input data.

The simulated ensembles of possible realizations of the precipitation fields are stored for the synthetic (simulation_VR) and real (simulation_realworld) world dataset. A corresponding description of the grid can be found in gridinfo.txt.
DOI: 10.24388/x30001017
title: M. U. Alzueta; R. Bilbao; P. Glarborg, Combustion and Flame 2001, 127, (4), 2234-2251, Fig. 4 bottom, open square, set 2a

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001018
title: M. U. Alzueta; R. Bilbao; P. Glarborg, Combustion and Flame 2001, 127, (4), 2234-2251, Fig. 5 top, open circle, set 3a

description: Initial composition: CO O2 H2O N2
DOI: 10.24388/x30001019
title: M. U. Alzueta; R. Bilbao; P. Glarborg, Combustion and Flame 2001, 127, (4), 2234-2251, Fig. 5 middle, open square, set 4a

description: Initial composition: CO O2 H2O N2
DOI: 10.17036/researchdata.aston.ac.uk.00000283
title: Data underpinning article "Changing beliefs about past public events with believable and unbelievable doctored photographs"
DOI: 10.24388/x30001020
title: M. U. Alzueta; R. Bilbao; P. Glarborg, Combustion and Flame 2001, 127, (4), 2234-2251, Fig. 5 bottom, open triangle, set 5a

description: Initial composition: CO O2 H2O N2
DOI: 10.5281/zenodo.846883
title: K5It/K5Pm 2017 Eclipse Expedition Wsprnet Recordings

description: WSPR recordings on 20m and 40m during HamSCI Solar Eclipse QSO Party Collected August 21, 2017 from grid square EM29ex in Northeast Kansas.

Rx Antenna was a 113' Carolina Windom configured in an inverted V with the center at 32' AGL and legs at 10' AGL oriented with a 50' element oriented NNE and a 83' element oriented SSW with 100' of LMR400 and 25' RG58 feedline and a 4:1 balun at the feedpoint.

Operators: John Laur, K5IT and Arthur Castillo, K5PM