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opencc-by-4.0Mar 2024View details →

Audio recordings from the opening event for The Art of Ikat: A Cambodian Renaissance exhibition

The Art of Ikat: A Cambodian Renaissance is an exhibition, which took place from 22 February to 31 May 2024 at the Royal Danish Library / University of Copenhagen Library Søndre Campus, Karen Blixens Plads 7, 2300 Copenhagen S. This exhibition sheds light on the formation and subsequent loss of this textile collection and the devastating effects of the Cambodian civil war and Khmer Rouge regime on textiles as material culture and heritage. To this end, the exhibition explores the art and practice of ikat, hol (ហូល) in Khmer, a resist-dyed weaving technique mastered in Cambodia, and the significance of figurative and auspicious motifs used in Buddhist pidan ikat hangings. To exemplify the vitality of Cambodian arts, three artists are invited to create new pieces echoing this lost collection, based on the missing objects’ pictures and descriptions found in the cataloguing records recovered post-conflict at the National Museum of Cambodia. Facing this history of conflict which has led to the tremendous loss of artefacts and ancestral know-how, these creators embrace the vitality and resilience of Cambodian arts relying on the power of making, memory, and imagination. Two talks were recorded during the event: - Opening address by Prof. Eva Andersson Strand, Director of the Centre for Textile Research, University of Copenhagen - Keynote presentation by Dr. Magali An Berthon, postdoctoral fellow at the Centre for Textile Research and curator of The Art of Ikat: A Cambodian Renaissance This event received additional support from the Asian Dynamics Initiative at the University of Copenhagen, the David Fond og Samling and the Design History Society.

opencc-zeroMay 2024View details →

Data for: Characteristics of Selected Open Infrastructures, 2024 State of Open Infrastructure Report

The State of Open Infrastructure report provides an annual snapshot of general characteristics for open infrastructures (OIs) listed in Invest in Open Infrastructure’s (IOI) open infrastructure selection tool, Infra Finder (https://infrafinder.investinopen.org/). The data were summarized and reported in the “2024 State of Open Infrastructure Report” section “Characteristics of selected open infrastructures.” The full report is available at https://doi.org/10.5281/zenodo.10934089. A readme, data dictionary, and additional metadata definition file are provided with the dataset with additional detail.

opencc-by-4.0May 2024View details →

The Pan-Canadian Chemical Library: A Mechanism to Open Academic Chemistry to High-Throughput Virtual Screening

<h1>Pan-Canadian Chemical Library</h1> This Zenodo repository contains the cheap and druglike subset of the Pan-Canadian Chemical Library (PCCL) project. For more information, visit <a href="https://pccl.thesgc.org/" rel="nofollow">https://pccl.thesgc.org</a>. <h2>PCCL library</h2> The PCCL library is splitted by reaction, then by number of heavy atoms. Two types of files are available in zip archives: <ul> <li>The SMILES format files, with the SMILES string and their product name,</li> <li>The CSV format file, with all the information generated during their enumeration: reagents, druglike properties, etc.</li> </ul> Note: Purchasability is defined according to two integers: 1 for products only composed of BB-50 reagents, and 2 for products composed of BB-40 or BB-50 reagents. Read more about the meaning of these reagents groups in the article below. <h2>Citation</h2> If you find the PCCL useful or if you use it, please cite our paper: Bedart, C. et al. The Pan-Canadian Chemical Library: A mechanism to open academic chemistry to high-throughput virtual screening. Scientific Data 11, (2024). doi: <a title="10.1038/s41597-024-03443-5" href="https://www.nature.com/articles/s41597-024-03443-5">10.1038/s41597-024-03443-5</a>

opencc-by-sa-4.0Jun 2024View details →

Open Spina Bifida Aperta Atlas

The Open Spina Bifida Aperta (OSBA) atlas is a set of neuroimaging templates for newborns with open spina bifida (spina bifida aperta, SBA). The OSBA atlas was constructed using structural T2-weighted and diffusion tensor MRI of 28 newborns with SBA. The corrected gestational age at MRI was 38.1 ± 1.1 weeks (mean ± SD). The OSBA atlas consists of T2-weighted and fractional anisotropy templates, along with 9 tissue prior maps and region of interest (ROI) delineations. The OSBA atlas offers a standardized reference space for spatial normalization and anatomical ROI definition.

Open Data in German Forest Information Systems: Towards an EU Forest Resilience Monitor (Original dataset on Forest Resilience Indicators and their compliance with Open data criteria)

This dataset represents the original analysis on which my Master's Thesis in the pioneer master programme at the Universities of Münster, Tallinn (Taltech) and Leuven (KUL), titled "Open Data in German Forest Governance: Towards an EU Forest Resilience Monitor".  <ul> <li>The first sheet contains the coding on information systems on bird species occurrence and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary. </li> <li>The second sheet contains the coding on information systems on tree species distribution and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary. </li> <li>The third sheet contains the coding on information systems on soil water conditions and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary. </li> <li>The fourth sheet contains the coding on information systems on canopy cover and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary. </li> <li>The fifth sheet contains the coding on information systems on carbon sequestration and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary. </li> <li>The sixth sheet contains the data on the individual scores per policy level/state per indicator group and the respective averages. More information on the operationaliation can be found in the methodology section of the thesis. </li> <li>The seventh sheet contains the data on the individual scores per policy level/state per indicator group and the respective averages, ranked from highest to lowest compliance. More information on the operationaliation can be found in the methodology section of the thesis. </li> <li>The last sheet gives information on the coding. </li> </ul>

Coordinates of post-WW2 churches opened 07-06-2024 in Czechia

The following table contains the coordinates, i.e., latitude and longitude, of especially post-World War 2 churches and chapels that will be opened as part of the Night of Churches 2024 in the Czech Republic, which takes place on June 7, 2024. The third column contains the name of the tabernacle and some brief information on the reasons for inclusion, such as years of construction or architects. The list was created by manually going through the list of all open churches and prayer rooms this year of the festival[1] and verifying whether it could be a building that was created in the second half of the 20th century. Information about the buildings was found on the Internet, or estimated from the buildings' visual appearance or historical orthophotos. [1] https://www.nockostelu.cz/kostely

opencc-zeroJul 2023View details →

A Year of Journal of Open Humanities Data

I asked myself, "What can I learn by applying distant reading computing techniques against a single year of content from the Journal of Open Humanities Data?" In a sentence, I learned a great deal about the Journal, and it very much lives up to is name.

Figure 8. F1 scores for YOLOv5 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 8. F1 scores for YOLOv5 indicating the harmonic mean between precision and recall scores. Data indicated that detection results for both species would be best at a confidence threshold of 0.298.

Figure 11. YOLOv5 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 11. YOLOv5 precision (A), recall (B), and F1 score (C) changes as a function of Amoronthus polmeri density (plants m−2).

Figure 10. Detection results for YOLOv5 with a in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 10. Detection results for YOLOv5 with a confidence interval of 0.15. False-positive detections of Mollugo verticillata and Abutilon theophrasti as Amoronthus polmeri are denoted by arrows pointing from "A" and "B," respectively.

Figure 9. YOLOv5 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 9. YOLOv5 detection results for Amoronthus polmeri and soybean using confidence thresholds of 0.15 (A) and 0.70 (B). The likelihood of false-negative (FN) detections increases as confidence thresholds increase, as can be seen in B. Objects assigned a confidence interval of less than 0.70 are not detected in B. FN A. palmeri and soybean detections in B are indicated by the orange and white arrows, respectively.

Figure 7 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 7. Image annotation of soybean at the R2 growth stage. As soybean populations were much higher than Amoronthus polmeri populations, there was a high level of soybean overlap. Therefore, it was necessary to include multiple soybean plants in each image. However, A. polmeri plants typically did not have as much overlap, and in most cases, it was much easier to identify and label individual plants.

Figure 3 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 3. Intersection over union (IoU) equation, defined as the overlap between the ground truth annotation and the computer prediction bounding box, divided by the total area of the two bounding boxes.IoU overlaps greater than 0.5 were considered true-positive predictions,whereas overlaps less than 0.5 were considered false-positive predictions.

Figure 2 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 2. Illustration of the annotation process. Amoronthus polmeri and soybean plants are labeled in this figure with orange and white boxes, respectively. Bounding boxes overlap with neighboring bounding boxes when plant features are irregular. In cases where a single bounding box could not encompass a plant without including a plant of another species, multiple irregular bounding boxes were drawn on a single specimen.

Figure 4 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 4. Mean average precision (mAP) results of each model after training. YOLOv5 was considered the best-performing algorithm of each tested model with a mAP of 0.77.

Figure 6. Precision–recall curve for YOLOv5. Amoronthus polmeri achieved a in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 6. Precision–recall curve for YOLOv5. Amoronthus polmeri achieved a slightly higher average precision (AP) (0.788) than soybean. Solid blue line represents mean average precision (mAP) computed on the test data set. The AP for each class and the mAP for the overall algorithm were representative of the area of the graph under each respective curve.

Figure 5 in Use of open-source object detection algorithms to detect Palmer amaranth (Amoronthus polmeri) in soybean

Figure 5. Change in mean average precision (mAP) @ 0.5 over each epoch during training. mAP was reported after the completion of each epoch. Training was terminated after visual inspection of curve and when mAP @ 0.5 curve was seen to "plateau."

A small body open-source dataset for image processing algorithms

Crater-analog dataset acquired with a drone setup at the RIC-DFKI center. The dataset can be used to bridge the domain gap for image processing applications for lunar and small-body missions.

Phenotype variation in Niphargus (Amphipoda: Niphargidae): possible explanations and open challenges: data and R code

Data and R code for performing the analyses of phylogenetic signal presented in the manuscript titled "Phenotype variation in Niphargus (Amphipoda: Niphargidae): possible explanations and open challenges. Data contains phylogenetic tree (Delić et al., 2023) and functional trait data in the RDS format (Premate & Fi&scaron;er, 2024). The R code is available in the html format. References/data sources: Delić, T., Borko, S., Premate, E., Rexhepi, B., Alther, R., Knuesel, M., ... & Altermatt, F. (2023). Evolutionary origin of morphologically cryptic species imprints co-occurrence and sympatry patterns. bioRxiv, 2023-09. Premate, E., & Fi&scaron;er, C. (2024). Functional trait dataset of European groundwater Amphipoda: Niphargidae and Typhlogammaridae. Scientific Data, 11(1), 188.