Find research datasets worth reusing

Figure 7 in Pebbled places preferred by people and pipefish in a World Heritage protected area

Figure 7. – Stone-stacking tourism at a beach on the Captain Cook Highway between Cairns and Port Douglas, Aus tralia (Photo: BE).

Figure 4 in Pebbled places preferred by people and pipefish in a World Heritage protected area

Figure 4. – Examples of heavily engineered human structures that modify short-steep-coastal-streams other than large dams. A: A fishway on a tributary of the Aling Aling River, Bali (Photo: PK); B: A concrete weir in Futuna (Photo: PK); C: Road crossing at Routes de sud, New Caledonia (Photo: CL); D: Concrete steps in Okinawa (Photo: KM); E: A small weir and water offtake to supply public toilets at Ellis Beach, Australia (Photo: BE); F: A straight linear concrete realignment of a creek in New Britain (PNG (Photo: CL)).

Figure 1 in Pebbled places preferred by people and pipefish in a World Heritage protected area

Figure 1. – Adult Microphis leiaspis at Cape Tribulation. A: Female (~160 mm TL); B: Male (~150 mm TL) (Photos: BE).

Figure 2 in Pebbled places preferred by people and pipefish in a World Heritage protected area

Figure 2. – Selectivity (± 95% confidence interval (CI)) of Microphis leiaspis for categories of A: Flow velocity; B: Depth; C: Substratum type and D: Flow type, used v. availability across two streams. Selectivity values greater than or equal to 1.0, indicated by the red dashed line (including 95% CI) indicate positive selection by M. leiaspis toward a given category, while values less than 1.0 (including 95% CI) indicate negative selection.

opencc-by-4.0Apr 2018View details →

Prototyping 3D Virtual Learning Environments with X3D-based Content and Visualization Tools-Figure 11. Online accessible repository of digital data on cultural heritage with X3D models (STARC Web Repository, 2017, © Copyright 2017, STARC, Cyprus Institute. Used with permission)

Prototyping can also include the development of toolkits for automatic content generation simulator, but in the case of an architectural environment, the components are too complex to be automatically generated. Furniture elements or the learning artifacts (i.e. content created by learners) can be converted to be viewed in X3D compatible browsers or included in online galleries (Figure 11). After functional and 3D content prototyping, certain components of the virtual campus can be easily modified and adapted as needed.

opencc-zeroJun 2019View details →

A biodiversity dataset graph: Biodiversity Heritage Library (BHL)

A biodiversity dataset graph: Biodiversity Heritage Library  Biodiversity datasets, or descriptions of biodiversity datasets, are increasingly available through open digital data infrastructures such as the Biodiversity Heritage Library (BHL, https://biodiversitylibrary.org). "The Biodiversity Heritage Library improves research methodology by collaboratively making biodiversity literature openly available to the world as part of a global biodiversity community." - https://biodiversitylibrary.org , June 2019.   However, little is known about how these networks, and the data accessed through them, change over time. This dataset provide snapshots of all OCR item texts (e.g., individual items) available through BHL as tracked by Preston (https://github.com/bio-guoda/preston , https://doi.org/10.5281/zenodo.1410543 ) over period May - June 2019. This snapshot contains about 120GB of uncompressed OCR texts across 227k OCR BHL items. Also, a snapshot of the BHL item catalog at https://www.biodiversitylibrary.org/data/item.txt is included. The archive consists of 256 individual parts (e.g., preston-00.tar.gz, preston-01.tar.gz, ...) to allow for parallel file downloads. The archive contains three types of files: index files, provenance files and data files. Only two index and provenance files are included and have been individually included in this dataset publication. Index files provide a way to links provenance files in time to eestablish a versioning mechanism. Provenance files describe how, when and where the BHL OCR text items were retrieved. For more information, please visit https://preston.guoda.bio or https://doi.org/10.5281/zenodo.1410543).   To retrieve and verify the downloaded BHL biodiversity dataset graph, first concatenate all the downloaded preston-*.tar.gz files (e.g., cat preston-*.tar.gz > preston.tar.gz). Then, extract the archives into a "data" folder. After that, verify the index of the archive by reproducing the following result: $ java -jar preston.jar history <0659a54f-b713-4f86-a917-5be166a14110> <http://purl.org/pav/hasVersion> <hash://sha256/89926f33157c0ef057b6de73f6c8be0060353887b47db251bfd28222f2fd801a> . <hash://sha256/41b19aa9456fc709de1d09d7a59c87253bc1f86b68289024b7320cef78b3e3a4> <http://purl.org/pav/previousVersion> <hash://sha256/89926f33157c0ef057b6de73f6c8be0060353887b47db251bfd28222f2fd801a> . To check the integrity of the extracted archive, confirm that each line produce by the command "preston verify" produces lines as shown below, with each line including "CONTENT_PRESENT_VALID_HASH". Depending on hardware capacity, this may take a while. $ java -jar preston.jar verify hash://sha256/e0c131ebf6ad2dce71ab9a10aa116dcedb219ae4539f9e5bf0e57b84f51f22ca    file:/home/preston/preston-bhl/data/e0/c1/e0c131ebf6ad2dce71ab9a10aa116dcedb219ae4539f9e5bf0e57b84f51f22ca    OK    CONTENT_PRESENT_VALID_HASH    49458087 hash://sha256/1a57e55a780b86cff38697cf1b857751ab7b389973d35113564fe5a9a58d6a99    file:/home/preston/preston-bhl/data/1a/57/1a57e55a780b86cff38697cf1b857751ab7b389973d35113564fe5a9a58d6a99    OK    CONTENT_PRESENT_VALID_HASH    25745 hash://sha256/85efeb84c1b9f5f45c7a106dd1b5de43a31b3248a211675441ff584a7154b61c    file:/home/preston/preston-bhl/data/85/ef/85efeb84c1b9f5f45c7a106dd1b5de43a31b3248a211675441ff584a7154b61c    OK    CONTENT_PRESENT_VALID_HASH    519892 Note that a copy of the java program "preston", preston.jar, is included in this publication. The program runs on java 8+ virtual machine using "java -jar preston.jar", or in short "preston".  Files in this data publication: README - this file preston-[00-ff].tar.gz - preston archives containing BHL OCR item texts, their provenance and a provenance index. 9e8c86243df39dd4fe82a3f814710eccf73aa9291d050415408e346fa2b09e70 - preston index file 2a5de79372318317a382ea9a2cef069780b852b01210ef59e06b640a3539cb5a - preston index file 89926f33157c0ef057b6de73f6c8be0060353887b47db251bfd28222f2fd801a - preston provenance file 41b19aa9456fc709de1d09d7a59c87253bc1f86b68289024b7320cef78b3e3a4 - preston provenance file   This work is funded in part by grant NSF OAC 1839201 from the National Science Foundation.

opencc-by-4.0Sep 2018View details →

Eurocraft: Explore Critical Heritages through Vid-maps (Beta Version)

Serious game prototype under the title “Eurocraft: Explore Critical Heritages through Vid-maps” (Beta Version), created by the research team of NKUA with the aims: (i) to fill the gap in the cultural heritage that is created by programme of studies, the texbooks and the teaching method (ii) to promote the communication of cultural heritage(s) between people within Europe, (iii) to encourage the dialogue and the understanding of the “European Other”

opencc-by-4.0Sep 2019View details →

Wikidata's linked data for cultural heritage digital resources: an evaluation based on the Europeana Data Model

Wikidata is an open data source with many potential applications. Our study aims to evaluate the usability of Wikidata as a linked data source for acquiring richer descriptions of digital objects within the context of Europeana, a data aggregator from the cultural heritage domain. Specifically, we aim to crawl and convert Wikidata using the standard approaches and operations developed for the (Semantic) Web of Data, i.e. using technologies like linked data consumption and RDF(S)/OWL ontology expression and reasoning. We also seek to re-use existing “semantic” specifications, such as conversions to and from generic data models like Schema.org and SKOS. We have developed an experimental set-up and accompanying software to test the feasibility of this approach. We conclude that Wikidata’s linked data is able to express an interesting level of semantics for cultural heritage, but quality can still be improved and a human operator still must assist linked data applications to interpret Wikidata’s RDF.

opencc-by-nc-nd-4.0Jul 2019View details →

Our Mythical History: Children's and Young Adults' Culture in Response to the Heritage of Ancient Greece and Rome

A short movie from the international conference  Our Mythical History: Children’s and Young Adults’ Culture in Response to the Heritage of Ancient Greece and Rome held at the Faculty of "Artes Liberales", University of Warsaw, May 22-26, 2019 available at <a href="https://www.youtube.com/watch?v=jVeEjWSCXD8">https://www.youtube.com/watch?v=jVeEjWSCXD8</a>  Music: Brave by WildKitty Tunes, Video: Mirosław Kaźmierczak, Coordination: Katarzyna Marciniak Art works used in the movie: Matylda Tracewska, Zbigniew Karaszewski

opencc-by-4.0Nov 2019View details →

Analysis of heritage stones and model wall paintings by pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals with a hybrid system

Analysis of heritage stone samples, alabaster, gypsum, limestone and marble, and model wall paintings was carried out with a laboratory, hybrid system based on the pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals. The system is based on a nanosecond Q-switched Nd:YAG laser operating at its second (532 nm), third (355 nm) and fourth (266 nm) harmonics and a spectrograph coupled to a time-gated intensified charge coupled device for spectral analysis allowing detection with temporal resolution. For the stone samples, Raman spectra display the characteristic vibration modes of SO42- of calcium sulfate, in alabaster and gypsum, and of free CO32- of calcium carbonate, in limestone and marble. Simultaneously acquired laser-induced fluorescence spectra reveal characteristic bands that help to distinguish between heritage stone types. The elemental composition of stone samples is obtained by laser-induced breakdown spectroscopy upon excitation at 355 nm. Spectra of all stone samples reveal their elemental composition that includes Ca, Na, Mn and Sr and the presence of molecular species, such as CN, C2 and CaO. Additional emission lines, ascribed to Mg, Si, Al and K, appear with different intensities according to the nature of the stone material. Model wall paintings, based on a red pigment, prepared as fresco or mixed with two different binders, were also studied. The complementary information provided by the three spectroscopic modes allows the identification of the pigment as red vermillion and of the different preparations based on the pigment alone or in mixtures with linseed oil and egg yolk binders.

opencc-by-4.0Nov 2019View details →

Influence of wavelength on the laser removal of lichens colonizing heritage stone-Associated dataset

Stone samples from Alpedrete quarry front, Madrid (Spain), which were used to construct heritage buildings and monuments in the Central area of Spain, and from Valonsadero Church (Spain), presenting different types of biological crusts were investigated in order to find the conditions for efficient laser treatment. Samples presenting superficial areas colonized by 6 different lichens: Protoparmeliopsis volcana and muralis (foliose), Aspicilia vidrescensa and contorta, Candelariella vitelina and Rhizocarpon disporum (crustose) were selected for laser treatment. In order to determine the best laser irradiation conditions UV-Visible absorption spectroscopy was performed from ethanol diluted bioderioration crust of each sample and ablation threshold was found for each stone substrate. A comparative study was carried out on the mentioned samples with infrared, ultraviolet and sequences of both nanosecond laser pulses using the fundamental (1064 nm), 3rd (355 nm) and 4th (266 nm) harmonic output of a Q-switched Nd:YAG laser system (pulse duration 17 ns, repetition rate 1-10 Hz) at fluences just below umbral threshold.

opencc-by-4.0Mar 2019View details →

CHAS - Cultural Heritage Architectural Segmentation dataset

CHAS is a point cloud dataset from cultural heritage aimed to provide data for semantic segmentation techniques. The data in this repository were generated by terrestrial laser scanning and pictures from aerial survey using UAV. This dataset comprises relevant buildings representing religious and colonial Brazilian architecture. We hope to allow future research in point cloud segmentation and automatic Building Information Modeling. We use the .7z file format to compact the clouds, providing high compression ratio. File names with "raw" suffix refers to RGB registered cloud. The "gt" suffix stands for ground truth clouds.   Raw point cloud description Name                                      Architectural Style         Construction Year            TLS         UAV         Points*      ID Good Death's Church                Neoclassical                       1867                         Yes          Yes          210      boa_morte Central Mill                                   Industrial                           1881                         Yes          Yes           26        engenho Ball House                                    Modern                             1940                         Yes           No          370          baile Quilombo Farm                             Colonial                           1891                         Yes          Yes           55        quilombo                         St. Francis of Assisi Church          Modern                          1943                        Yes           Yes           46           curia * millions    Equipment <ul> <li>FARO Focus3D X 330 HDR*</li> <li>DJI Inspire 2 with Gimbal DJI Zenmuse X4S 4K | H264 | F2.8 - F11 | 20MP**</li> <li>DJI Spark 12 MP Full HD GPS **</li> </ul> *Terrestrial Laser Scanner (TLS) **Unmanned Aerial Vehicle (UAV)   Software The following third-party software have been used to register the clouds.: FARO SCENE, CloudCompare and Pix4D Mapper. For a better understanding of the hybrid point cloud registration approach used in this dataset we recommend the following article: <a href="http://papers.cumincad.org/cgi-bin/works/paper/ecaade2018_295">BIM for Heritage Documentation An ontology-based approach</a>.   Ground-truth Ground-Truth in this dataset was manually created with the Interactive Segmentation Tool on CloudCompare. Distinct colors represent different architectural elements. An “optimal” segmentation algorithm must partition the raw point clouds into equivalent single-color ground-truth clusters.       How to cite this dataset? Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G. "Historical building point cloud segmentation combining hierarchical watershed transform and curvature analysis." Pattern Recognition Letters 135 (2020): 114-121. DOI: <a href="https://doi.org/10.1016/j.patrec.2020.04.010">https://doi.org/10.1016/j.patrec.2020.04.010</a> Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G. "CHAS - Cultural Heritage Architectural Segmentation dataset". Zenodo, March 26 2019. DOI: <a href="https://doi.org/10.5281/zenodo.2609498">https://doi.org/10.5281/zenodo.2609498</a>

Fig. 6 in Role of landscape context in Toxoplasma gondii infection of invasive definitive and intermediate hosts on a World Heritage Island

Fig. 6. Relative density of black rats in different land-use types, as expressed by the capture rate by traps, i.e., number of individuals captured per 100 trapdays. Numerals above the bars indicate total trap-days.

Fig. 5 in Role of landscape context in Toxoplasma gondii infection of invasive definitive and intermediate hosts on a World Heritage Island

Fig. 5. Anti-Toxoplasma gondii seroprevalence and OD values of black rats as a function of the number of cattle barns within 1 ha or individual body weight. Gray areas indicate 95% confidence intervals. Dots represent individuals. The color becomes darker with increasing sample size.

Fig. 4 in Role of landscape context in Toxoplasma gondii infection of invasive definitive and intermediate hosts on a World Heritage Island

Fig. 4. Model averaged coefficients of variables (GLM) explaining seroprevalence and OD values of black rats. Bars indicate 95% confidence intervals.

Fig. 2 in Role of landscape context in Toxoplasma gondii infection of invasive definitive and intermediate hosts on a World Heritage Island

Fig. 2. Model averaged coefficients of variables (GLM) explaining seroprevalence and OD values of cats. Bars indicate 95% confidence intervals.

Fig. 3 in Role of landscape context in Toxoplasma gondii infection of invasive definitive and intermediate hosts on a World Heritage Island

Fig. 3. Anti-Toxoplasma gondii seroprevalence and OD values of cats as a function of the number of cattle barns within 1 ha or individual body weight. Gray areas indicate 95% confidence intervals. Dots represent individuals. The color becomes darker with increasing sample size.

Fig. 1 in Role of landscape context in Toxoplasma gondii infection of invasive definitive and intermediate hosts on a World Heritage Island

Fig. 1. Map showing the study area. Open circles and black triangles in the map indicate, respectively, capture sites of cats and black rats.

opencc-by-4.0Dec 2014View details →

FIGURE 6 in New genus of primitive wombat (Vombatidae, Marsupialia) from Miocene deposits in the Riversleigh World Heritage Area (Queensland, Australia)

FIGURE 6. Lingual view of lower molars to show presence of enamel tracts (indicated by asterisks). 1, Nimbavombatus boodjamullensis. 2, Rhizophascolonus crowcrofti. 3, Warendja encorensis.