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Manuscript V - Supplementary material

Supplementary material for manuscript V in dissertation: Selection of rye (Secale cereale L.) for powdery mildew and leaf rust resistance through phenotyping, target sequencing, and association genetics

Manuscript II - Supplementary material

Supplementary material for manuscript II in dissertation: Selection of rye (Secale cereale L.) for powdery mildew and leaf rust resistance through phenotyping, target sequencing, and association genetics

Manuscript III - Supplementary material

Supplementary material for manuscript III in dissertation: Selection of rye (Secale cereale L.) for powdery mildew and leaf rust resistance through phenotyping, target sequencing, and association genetics

Manuscript I - Supplementary material

Supplementary material for manuscript I in Thesis: Selection of rye (Secale cereale L.) for powdery mildew and leaf rust resistance through phenotyping, target sequencing, and association genetics

Tracks of Bulk Material Transported on a Conveyor Belt

This data set comprises tracks of different materials (balls, cylinders, peppercorns, and wheat grains) on a conveyor belt. The tracks were obtained by <ol> <li>recording images of transported bulk material on the small-scale optical belt sorter Tablesort,</li> <li>extracting the centroids of the bulk materials' particles,</li> <li>employing a multitarget tracker to extract the tracks of the particles.</li> </ol> In total, the data include the tracks of 7712 balls, 19 200 cylinders, 7170 peppercorns, and 8702 wheat grains. The raw images were recorded on a Bonito CL-400C. The resolution is 2320 x 1720 pixels and each pixel is approximately 0.056 mm long in world coordinates. The frame rate is 192.9 Hz. A thorough description of the Tablesort system can be found in <ul> <li>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking, Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/inside-schuettgut.html">project website</a>.</li> </ul> For the datasets of raw images, see: Images of Balls Transported on a Conveyor Belt - Recording 01 - <a href="https://doi.org/10.5281/zenodo.5095500">https://doi.org/10.5281/zenodo.5095500</a> Images of Balls Transported on a Conveyor Belt - Recording 02 - <a href="https://doi.org/10.5281/zenodo.5095562">https://doi.org/10.5281/zenodo.5095562</a> Images of Balls Transported on a Conveyor Belt - Recording 03 - <a href="https://doi.org/10.5281/zenodo.5095640">https://doi.org/10.5281/zenodo.5095640</a> Images of Balls Transported on a Conveyor Belt - Recording 04 - <a href="https://doi.org/10.5281/zenodo.5096551">https://doi.org/10.5281/zenodo.5096551</a> Images of Balls Transported on a Conveyor Belt - Recording 05 - <a href="https://doi.org/10.5281/zenodo.5096747">https://doi.org/10.5281/zenodo.5096747</a> Images of Balls Transported on a Conveyor Belt - Recording 06 - <a href="https://doi.org/10.5281/zenodo.5097011">https://doi.org/10.5281/zenodo.5097011</a> Images of Balls Transported on a Conveyor Belt - Recording 07 - <a href="https://doi.org/10.5281/zenodo.5102938">https://doi.org/10.5281/zenodo.5102938</a> Images of Balls Transported on a Conveyor Belt - Recording 08 - <a href="https://doi.org/10.5281/zenodo.5102962">https://doi.org/10.5281/zenodo.5102962</a> Images of Balls Transported on a Conveyor Belt - Recording 09 - <a href="https://doi.org/10.5281/zenodo.5103015">https://doi.org/10.5281/zenodo.5103015</a> Images of Balls Transported on a Conveyor Belt - Recording 10 - <a href="https://doi.org/10.5281/zenodo.5103031">https://doi.org/10.5281/zenodo.5103031</a> Images of Balls Transported on a Conveyor Belt - Recording 11 - <a href="https://doi.org/10.5281/zenodo.5104865">https://doi.org/10.5281/zenodo.5104865</a> Images of Balls Transported on a Conveyor Belt - Recording 12 - <a href="https://doi.org/10.5281/zenodo.5104890">https://doi.org/10.5281/zenodo.5104890</a> Images of Balls Transported on a Conveyor Belt - Recording 13 - <a href="https://doi.org/10.5281/zenodo.5104907">https://doi.org/10.5281/zenodo.5104907</a> Images of Balls Transported on a Conveyor Belt - Recording 14 - <a href="https://doi.org/10.5281/zenodo.5105732">https://doi.org/10.5281/zenodo.5105732</a> Images of Balls Transported on a Conveyor Belt - Recording 15 - <a href="https://doi.org/10.5281/zenodo.5105782">https://doi.org/10.5281/zenodo.5105782</a> Images of Cylinders Transported on a Conveyor Belt - Recording 01 - <a href="https://doi.org/10.5281/zenodo.5141471">https://doi.org/10.5281/zenodo.5141471</a> Images of Cylinders Transported on a Conveyor Belt - Recording 02 - <a href="https://doi.org/10.5281/zenodo.5142415">https://doi.org/10.5281/zenodo.5142415</a> Images of Cylinders Transported on a Conveyor Belt - Recording 03 - <a href="https://doi.org/10.5281/zenodo.5142489">https://doi.org/10.5281/zenodo.5142489</a> Images of Cylinders Transported on a Conveyor Belt - Recording 04 - <a href="https://doi.org/10.5281/zenodo.5142540">https://doi.org/10.5281/zenodo.5142540</a> Images of Cylinders Transported on a Conveyor Belt - Recording 05 - <a href="https://doi.org/10.5281/zenodo.5142639">https://doi.org/10.5281/zenodo.5142639</a> Images of Cylinders Transported on a Conveyor Belt - Recording 06 - <a href="https://doi.org/10.5281/zenodo.5142705">https://doi.org/10.5281/zenodo.5142705</a> Images of Cylinders Transported on a Conveyor Belt - Recording 07 - <a href="https://doi.org/10.5281/zenodo.5142738">https://doi.org/10.5281/zenodo.5142738</a> Images of Cylinders Transported on a Conveyor Belt - Recording 08 - <a href="https://doi.org/10.5281/zenodo.5142781">https://doi.org/10.5281/zenodo.5142781</a> Images of Cylinders Transported on a Conveyor Belt - Recording 09 - <a href="https://doi.org/10.5281/zenodo.5142812">https://doi.org/10.5281/zenodo.5142812</a> Images of Cylinders Transported on a Conveyor Belt - Recording 10 - <a href="https://doi.org/10.5281/zenodo.5145279">https://doi.org/10.5281/zenodo.5145279</a> Images of Cylinders Transported on a Conveyor Belt - Recording 11 - <a href="https://doi.org/10.5281/zenodo.5145385">https://doi.org/10.5281/zenodo.5145385</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 01 - <a href="https://doi.org/10.5281/zenodo.5140321">https://doi.org/10.5281/zenodo.5140321</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 02 - <a href="https://doi.org/10.5281/zenodo.5140358">https://doi.org/10.5281/zenodo.5140358</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 03 - <a href="https://doi.org/10.5281/zenodo.5138524">https://doi.org/10.5281/zenodo.5138524</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 04 - <a href="https://doi.org/10.5281/zenodo.5140378">https://doi.org/10.5281/zenodo.5140378</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 05 - <a href="https://doi.org/10.5281/zenodo.5140411">https://doi.org/10.5281/zenodo.5140411</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 06 - <a href="https://doi.org/10.5281/zenodo.5140436">https://doi.org/10.5281/zenodo.5140436</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 07 - <a href="https://doi.org/10.5281/zenodo.5140456">https://doi.org/10.5281/zenodo.5140456</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 08 - <a href="https://doi.org/10.5281/zenodo.5140863">https://doi.org/10.5281/zenodo.5140863</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 09 - <a href="https://doi.org/10.5281/zenodo.5140968">https://doi.org/10.5281/zenodo.5140968</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 10 - <a href="https://doi.org/10.5281/zenodo.5141033">https://doi.org/10.5281/zenodo.5141033</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 11 - <a href="https://doi.org/10.5281/zenodo.5141143">https://doi.org/10.5281/zenodo.5141143</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 12 - <a href="https://doi.org/10.5281/zenodo.5141210">https://doi.org/10.5281/zenodo.5141210</a> Images of Peppercorns Transported on a Conveyor Belt - Recording 13 - <a href="https://doi.org/10.5281/zenodo.5141382">https://doi.org/10.5281/zenodo.5141382</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 01 - <a href="https://doi.org/10.5281/zenodo.5037096">https://doi.org/10.5281/zenodo.5037096</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 02 - <a href="https://doi.org/10.5281/zenodo.5076022">https://doi.org/10.5281/zenodo.5076022</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 03 - <a href="https://doi.org/10.5281/zenodo.5076129">https://doi.org/10.5281/zenodo.5076129</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 04 - <a href="https://doi.org/10.5281/zenodo.5076163">https://doi.org/10.5281/zenodo.5076163</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 05 - <a href="https://doi.org/10.5281/zenodo.5076229">https://doi.org/10.5281/zenodo.5076229</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 06 - <a href="https://doi.org/10.5281/zenodo.5076251">https://doi.org/10.5281/zenodo.5076251</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 07 - <a href="https://doi.org/10.5281/zenodo.5080533">https://doi.org/10.5281/zenodo.5080533</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 08 - <a href="https://doi.org/10.5281/zenodo.5080547">https://doi.org/10.5281/zenodo.5080547</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 09 - <a href="https://doi.org/10.5281/zenodo.5081016">https://doi.org/10.5281/zenodo.5081016</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 10 - <a href="https://doi.org/10.5281/zenodo.5081063">https://doi.org/10.5281/zenodo.5081063</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 11 - <a href="https://doi.org/10.5281/zenodo.5091432">https://doi.org/10.5281/zenodo.5091432</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 12 - <a href="https://doi.org/10.5281/zenodo.5091458">https://doi.org/10.5281/zenodo.5091458</a> Images of Wheat Grains Transported on a Conveyor Belt - Recording 13 - <a href="https://doi.org/10.5281/zenodo.5091484">https://doi.org/10.5281/zenodo.5091484</a> The multitarget tracker used can be found at <a href="https://github.com/KIT-ISAS/TracksortAlgorithm">https://github.com/KIT-ISAS/TracksortAlgorithm</a>. Algorithms for two key challenges can be developed and evaluated on the data sets: <ol> <li>Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications <ul> <li>Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer, TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials, Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.</li> <li>Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer, Predictive Tracking with Improved Motion Models for Optical Belt Sorting, at – Automatisierungstechnik, April 2020.</li> </ul> </li> <li>Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to <ul> <li>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer, Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information, Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.</li> <li>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer, Motion-Based Material Characterization in Sensor-Based Sorting,  tm – Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> To this date, publications that used these data include <ul> <li>Daniel Pollithy, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck, Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking, Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), Virtual, September 2020.</li> </ul> The used CSV format uses commas as separators. The first line is the header. The number of columns depends on the highest track id. The columns provide the x- and y-coordinates alternatingly, as described in the header. The x-axis is aligned orthogonal to the transport direction, while the y-axis goes along the transport direction. The number of rows corresponds to the length of the longest track that appears in the file. Tracks that are already terminated up to that point are padded with "NaN"s. The values are in pixels. Acknowledgment The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Energy on the basis of a resolution of the German Bundestag.

Supplemental Material: An Experimental Evaluation of ITL, TDD and BDD: An extended study

The supplementary material is distributed as follows: 1) The list of figures that have not been included in the paper due to formatting limitations.  2) A list of tables that have not been included in the paper due to formatting limitations. 3) The data collection files that are part of the experimental process. 4) The experimental plan document describing the activities performed in the experiment.

opencc-by-4.0Jul 2021View details →

'Psyché' as a Rosetta stone? Assessing collaborative authorship in the French 17th century theatre -- supplementary material

Supplementary material for the paper: ‘Psyché’ as a Rosetta Stone? Assessing Collaborative Authorship in the French 17th Century Theatre presented at Computational Humanities Research 2021.

opencc-by-4.0Jan 2022View details →

Guide for Artificial Intelligence Ethical Requirements Elicitation - RE4AI Ethical Guide - Supplementary Material

This is the Supplementary Material provided for the work accepted on HICSS 55 - 2022. Title of work: Guide for Artificial Intelligence Ethical Requirements Elicitation - RE4AI Ethical Guide.   Guide can be found here: <a href="https://josesiqueira.github.io/RE4AIEthicalGuide/index.html">https://josesiqueira.github.io/RE4AIEthicalGuide/index.html</a> Guide source code can be found here: <a href="https://github.com/josesiqueira/RE4AIEthicalGuide">https://github.com/josesiqueira/RE4AIEthicalGuide</a>   This file presents 4 Tables that add significant information to the paper. Table 1 shows ethical principles present in ECCOLA method by Vakkuri et al. [1]. Table 2 shows principles and their ethical issues presented in the work of Ryan and Stahl [2], as it is. Table 3 shows a standardisation of the principles in ECCOLA with the principles in Ryan and Stahl through a mapping. Table 4 presents a mapping of tools found in our previous study [3] with principles and ethical issues presented by Ryan and Stahl [2].   References: [1] Vakkuri, K. Kemell, and P. Abrahamsson, “ECCOLA - a method for implementing ethically aligned AI systems,” CoRR, vol. abs/2004.08377, 2020. [2] M. Ryan and B. C. Stahl, “Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative  implications,” Journal of Information, Communication and Ethics in Society,2020. [3] J. A. Siqueira De Cerqueira, L. Dos Santos Althoff, P. Santos De Almeida, and E. Dias Canedo, “Ethical perspectives in ai: A two-folded exploratory study from literature and active development projects,” in Proceedings of the 54th Hawaii International Conference on System Sciences, p. 5240, 2021.

opencc-by-4.0May 2021View details →

Snow hyperspectral measurements in Terra Nova Bay (Antarctica) and supplementary materials

SISpec is a database containing spectroradiometric, snow and ancillary (environmental and meteorological) data acquired in polar environments. The project is the result of the co-operation of different expertise, and its main objective is to contribute to the knowledge of the interaction between microphysics characteristic of the snow cover and its reflection properties of the solar incident radiation and to study glacial environment and particularly to monitor the snow/ice covers by multispectral remote sensing data. Field surveys were performed in Antarctica, in the region where the Italian research station of Terra Nova Bay is located, the climatic characteristics and the low human impact allow to study snow/ice surfaces without impurities and with different characteristics with respect to those of the Arctic and the Alpine regions, where seasonal melting of the snow cover occur.

Supplementary material to 'New Equivalent Frame Models for Historical Masonry Structures'

This repository provides the OpenSEES models used for producing the results presented in the paper as well as the data with results of the IDAs.

opencc-by-4.0May 2021View details →

Supplemental Material to Journal Article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers"

This set supplements the figure and table data to the article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers", DOI: <a href="https://doi.org/10.2514/1.J060444">https://doi.org/10.2514/1.J060444</a> The Python code to reproduce the results shown in the article is released as v1.0 of the MAMO toolbox for material models DOI: The latest code development can be cloned at <a href="https://github.com/mrosemeier/mamo">https://github.com/mrosemeier/mamo</a>.

IPCC-AR6-SPM material + info on reference regions

### Contents Included material is from sources indicated below. - `spm/` from **[1]** - `reference-regions/` from **[2]** except for `hexagon_grid_locations.csv` - `reference-regions/hexagon_grid_locations.csv` from **[3]** ### [1] source of the data in `spm/` ``` IPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press. ``` ``` Gillett, N.P.; Malinina, E.; Kaufman, D.; Neukom, R. (2021): Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.1 (v20210809). NERC EDS Centre for Environmental Data Analysis, 09 August 2021. doi:10.5285/76cad0b4f6f141ada1c44a4ce9e7d4bd. http://dx.doi.org/10.5285/76cad0b4f6f141ada1c44a4ce9e7d4bd ``` ### [2] source of the data in csv files ``` Iturbide, Maialen, Fernández, Jesús, Gutiérrez, José Manuel, Bedia, Joaquín, Cimadevilla, Ezequiel, Díez-Sierra, Javier, Manzanas, Rodrigo, Casanueva, Ana, Baño-Medina, Jorge, Milovac, Josipa, Herrera, Sixto, Cofiño, Antonio S., San Martín, Daniel, García-Díez, Markel, Hauser, Mathias, Huard, David, & Yelekci, Özge. (2021). Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas (v2.0-final). Zenodo. https://doi.org/10.5281/zenodo.5171760 ``` ### [3] source of the data in csv files ``` Gael Forget, Lauren Milechin, & Philippe Roy. (2021). JuliaClimate/GlobalOceanNotebooks: new webpage, docker+sysimage+Pluto, add IPCC+other notebooks, cleanup (v0.3.5). Zenodo. https://doi.org/10.5281/zenodo.5537709 ```

Meso-scale patterns of shallow convection in the trades: supplemental material

Supplemental material to the dissertation: Meso-scale patterns of shallow convection in the trades <ol> <li>ICON_EUREC4A_LES.mov Animation of actual (GOES-16 ABI) and synthetic satellite images for the simulated period. GOES-16 ABI; ICON 624m; ICON 312m (from left to right)  </li> </ol>

Supplementary Material for "TITANIA Model-Free Interpretation of Residual Dipolar Couplings in the Context of Organic Compounds"

Simulation input (RDC data, input geometries, keywords) and output files (simulation / geometry trajectories, alignment data, SECONDA analysis) for isopinocampheol, tubocurarine and strychnine runs with the TITANIA software.

opencc-zeroOct 2021View details →

dryad36/100

Supplemental material for: Increased large vessel occlusive strokes following the Christchurch 2019 March 15 terror attack

<div class="WordSection1"> Background: The impact of sudden catastrophic events such as terror attacks on stroke is unclear. We investigated the association between the 2019 March 15 Christchurch terror attack and ischaemic stroke admissions and reperfusion therapies. Methods: We used a Bayesian Poisson model to estimate the effect of the terror attack on ischaemic stroke admissions, the numbers of intracranial large vessel occlusion (LVO) and reperfusion therapy, in the week after the attack compared with weekly data from 1st January 2018 until 21st April 2019. These analyses were repeated for the rest of New Zealand with Christchurch data omitted. The probability of the rate observed in the week following the terror attack being higher than the background rate was calculated for each measure, with a probability higher than 99.5% providing strong evidence of an effect. Results: In the week starting on Monday, three days after the terror attack, there was an increase in the number of patients with intracranial LVOs (10, background mean rate=2.4, probability P>99.9%) and those receiving reperfusion therapy (9, mean rate=2.6, P=99.9%), compared with the baseline rates. There was no difference in the total number of ischemic stroke admissions (26, mean rate=27). There was no strong evidence of a change in the numbers of reperfusion therapies or ischaemic stroke admissions in the rest of New Zealand. Conclusion: Sudden catastrophic events such as terror attacks may increase the numbers of patients developing intracranial LVO requiring stroke reperfusion therapies within the affected community. </div>

Data of "Interaction-based material network: a general framework for (porous) microstructured materials"

<pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Interaction-based material network: a general framework for (porous) microstructured materials", journal = "Computer Methods in Applied Mechanics and Engineering", pages = " ", year = "202?", issn = "0045-7825", doi = "https://doi.org/10.1016/j.cma.", author = "Nguyen, Van Dung and Noels, Ludovic"</pre>

FURTHER RANGE EXPANSION OF THE SCULPTURED RESIN BEE (MEGACHILE SCULPTURALIS) IN SERBIA AND BOSNIA & HERZEGOVINA (SUPPLEMENTARY MATERIAL)

Table S1. Records of M. sculpturalis from Serbia and Bosnia & Herzegovina during 2020, sorted chronologically. The unit record is defined as unique locality/date combination, hence, some recording sites encompass repeated recording events (being re-visited for various purposes); however, in few cases of extended observation of nesting activity, repeated reports are omitted. Source of data is abbreviated as: OR – Own Research (surveying by co-authors), or CSP – Citizen Science Project reports. Coordinates (Latitude, Longitude) are given in WGS84 system. Locations are given as broader toponyms and/or in combination with smaller units (municipalities, etc.), while coordinates were used to define the basic locality-units. Recorded by: co-authors are shown by initials, full surnames given for CSP contributors (but only initials if withheld by request). Recording context: mostly recorded on blooming Styphnolobium trees (49 out of 64), 7 based on nesting (but #46 includes both the nesting and observation on Styphnolobium within the same site), 9 were other contexts. Sex: F – female, M – males; indicates positively established sex of the observed specimens (some reports likely include both sexes, but undocumented). Sampling: number of collected specimens, followed by "p" if some included pollen.

openother-pdFeb 2023View details →

PUDL Raw Pipelines and Hazardous Materials Safety Administration (PHMSA) Annual Natural Gas Report

Annual reports submitted to PHMSA from gas distribution, gas gathering, gas transmission, liquefied natural gas, and underground gas storage system operators. Annual reports include information such as total pipeline mileage, facilities, commodities transported, miles by material, and installation dates. Archived from <a href="https://www.phmsa.dot.gov/data-and-statistics/pipeline/gas-distribution-gas-gathering-gas-transmission-hazardous-liquids">https://www.phmsa.dot.gov/data-and-statistics/pipeline/gas-distribution-gas-gathering-gas-transmission-hazardous-liquids</a> This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by <a href="https://catalyst.coop">Catalyst Cooperative</a>. It is organized into <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Packages</a>. For additional information about this data and PUDL, see the following resources: <ul> <li><a href="https://github.com/catalyst-cooperative/pudl">The PUDL Repository on GitHub</a></li> <li><a href="https://catalystcoop-pudl.readthedocs.io">PUDL Documentation</a></li> <li><a href="https://zenodo.org/communities/catalyst-cooperative/">Other Catalyst Cooperative data archives</a></li> </ul>

opencc-by-4.0May 2018View details →

The Leprechauns of Quality Requirements: Beliefs and Dispersion in Academia and Practice - Additional Material

This dataset contains additional material for the research paper "The Leprechauns of Quality Requirements: Beliefs and Dispersion in Academia and Practice". More specifically, it contains four files: <ul> <li>Questionaire_Print version.pdf: The survey instrument that we used for the study.</li> <li>Leprechauns.gephi: A Gephi file containing the graphs that we used in the paper.</li> <li>data.csv: A csv file containing the answers of all survey participants.</li> <li>processing_script.R: An R script that we used to analyse and visualize the data.</li> </ul>