Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,453
datasets available to search
ShareScore release 0.9.0
Dataset results
2,453 results for “Architecture”
Mangrove biomass and root architecture in recycled glass sand, SE Louisiana 2023-2024
As coastal regions experience accelerating land loss, artificial substrates may be useful in restoration efforts to replenish sediment and facilitate plant colonization. Recycled glass sand is a potential artificial substrate for marsh building due to its sustainability, availability, and similarity to natural substrates. However, differences in texture and availability of microbiota necessitate investigating how it affects plant growth. We tested the effect of three substrates (conventionally used dredged river sand, recycled glass sand, and a 50:50 mix) and inoculation with natural soil microbes on the biomass and root architecture of black mangrove (Avicennia germinans) in a 5.5 month greenhouse experiment.
Architectural Sculpture in the Byzantine Negev (Golan 2020)
<p>The database of the decorated architectural elements from the Byzantine Negev, Israel is part of the book “Architectural Sculpture from the Byzantine Negev: Characterization and Meaning.” (DOI: https://doi.org/10.1515/9783110631760)</p> <p>The database is part of a catalogue in which each of the architectural elements has a specific inventory label that provides certain details about the artifact. For example, the first architectural element presented in the catalogue is item SH.A.10.BP.1. The first part of the inventory number – SH – is an abbreviation of the name of the site of its provenance, in this case, Shivta. The second part – A – refers to the structure, unit or feature in the site where the element is located, in this case, the “Pool House”. The third part of the inventory – 10 – refers to the room number within the structure or unit. The fourth part – BP – refers to the architectural function of the element, that is, BP, <strong>B</strong>ases and <strong>P</strong>odia. The last part of the inventory label – 1 – refers to the serial number of this specific element within the group of all of the architectural elements with the same function that are included in the catalogue. 40 Architectural elements that were not documented <em>in situ </em>have shorter inventory labels, because less information is known of their exact location.</p> <p>The database was created in Microsoft’s <em>Access </em>program, specifically, for the purposes of this study. The elements are divided according to their architectonic function. The categories of the forms are: arches, bases and podia, capitals, columns, cornices, decorated stones of undefined architectural context, doorjambs, floor tiles and lintels. The fields in all of the forms are mostly the same, apart from minor adjustments that relate to the data about certain types of elements. For example, the form for “cornices” includes the field “protruding from wall”; since this data is not relevant regarding the other types of architectural elements it does not appear in other forms.</p> <p>The database includes the following information: date of documentation; provenance and current location; state of preservation; citation of publication in which the element appears; general measurements and description; raw material; whether the element was painted; source of photographs; direction of photographs; general description of the decorational composition and a detailed description of the element and its decoration, including specific measurements. Most of the information on the database forms has been filled on site and provides a working description of the elements. The descriptions have not been edited in order to provide the most candid observation of the decorations with as little interpretation as possible. The descriptions were done systematically, most commonly from the top of the element to its bottom and in the case of lintels from left to right. In order to find a specific element in the database one should place the cursor on the “Inventory” field, select the “find” key and type the element’s inventory number in the dialogue box. The inventory numbers can be found in the publication mentioned at the top of the beginning of this description.</p>
Architectural Languages for the Microservices Architecture: A systematic mapping study [Data set]
<p>This repository contains all artifacts related to the study: Architectural Languages for the Microservices Architecture: A systematic mapping study.</p>
Software Architecture Assessment for Sustainability: A Case Study
<h3>Replication Package: Software Architecture Assessment for Sustainability: A Case Study</h3> <p><br>This repository contains the supplementary material to support the paper published at the International Conference on Software Architecture (ECSA) 2024 titled, "Software Architecture Assessment for Sustainability: A Case Study". This repository can be used to replicate the study and carry out a Software Architecture Evaluation of other software systems.<br><br>The online version can be browsed on the linked <a href="https://github.com/S2-group/rep-pkg-ecsa-2024-SA-assessment-for-sustainability-a-case-study/tree/v1.0.0" target="_blank" rel="noopener">Github Repository</a></p> <p> </p> <p> </p>
Architectural Atmospheres — Literature Record
<p>This dataset is an output of the RESONANCES project. <br>It collects bibliographic entries about four topics:</p> <ul> <li>architectural atmospheres</li> <li>phenomenology in architecture</li> <li>emotions, embodiment, and empathy in architecture</li> <li>the biological basis of atmospheric perception.</li> </ul>
An automatic fascicle tracking algorithm quantifying gastrocnemius architecture during maximal effort contractions
<p>This repository includes all the experimental data, tracking code, and tracked trials reported in Drazan JF, Hullfish TJ, Baxter JR. 2019. An automatic fascicle tracking algorithm quantifying gastrocnemius architecture during maximal effort contractions. <em>PeerJ</em> 7:e7120. DOI: <a href="https://doi.org/10.7717/peerj.7120">10.7717/peerj.7120</a>.</p> <p>Updated tracking code will be maintained on github https://github.com/joshrbaxter/ultrasound_tracking</p> <p>To get started - download the 'matlab' and 'Sample Videos' folders and unzip them into a common directory. If you are having path issues (will first appear when trying to pull the Data structure), then these folders are either in the wrong path or the path separators are incorrect (this was developed on Windows and linux/OSX use a different path format). </p>
Investigating instability architectural smells evolution: an exploratory case study
<p>This is the dataset used in our case study on architectural smells evolution. We tracked smells from 524 versions among 14 open source Java systems. </p> <p>More information can be found in our ICSME'19 paper titled: "Investigating instability architectural smells evolution: an exploratory case study".</p> <p>Additionally, you can find the tool on GitHub: <a href="https://github.com/darius-sas/astracker">https://github.com/darius-sas/astracker</a></p>
Exposure to sublethal concentrations of a pesticide or predator cues induces changes in brain architecture in larval amphibians, 2013.
Naturally occurring environmental factors shape developmental trajectories to produce variable phenotypes. Such developmental phenotypic plasticity can have important effects on fitness, and has been demonstrated for numerous behavioral and morphological traits. However, surprisingly few studies have examined developmental plasticity of the nervous system in response to naturally occurring environmental variation, despite accumulating evidence for neuroplasticity in a variety of organisms. Here, we asked whether the brain is developmentally plastic by exposing larval amphibians to natural and anthropogenic factors. Leopard frog tadpoles were exposed to predator cues, reduced food availability, or sublethal concentrations of the pesticide chlorpyrifos in semi-natural enclosures. Mass, growth, survival, activity, larval period, external morphology, brain mass, and brain morphology were measured in tadpoles and after metamorphosis. Tadpoles in the experimental treatments had lower masses than controls, although developmental rates and survival were similar. Tadpoles exposed to predator cues or a high dose of chlorpyrifos had altered body shapes compared to controls. In addition, brains from tadpoles exposed to predator cues or a low dose of chlorpyrifos were narrower and shorter in several dimensions compared to control tadpoles and tadpoles with low food availability. Interestingly, the changes in brain morphology present at the tadpole stage did not persist in the metamorphs. Our results show that brain morphology is a developmentally plastic trait that is responsive to ecologically relevant natural and anthropogenic factors. Whether these effects on brain morphology are linked to performance or fitness is unknown.
DTI data from 'Fiber architecture in the ventromedial striatum and its relation with the bed nucleus of the stria terminalis'
Open the record for dataset details and reuse information.
Alternative architecture of the E. coli chemosensory array.
<p>We present molecular models for extended patches of the <em>E. coli</em> chemosensory array. The models display either the canonical p6-symmetric architecture or an alternative p2-symmetric architecture recently observed in <em>E. coli</em> minicells. For more information, please see the associated BioRxiv preprint. Questions regarding the coordinates may be directed to Keith Cassidy (keith.cassidy@bioch.ox.ac.uk).</p> <p> </p>
Phenotypic data related to genetic architecture of transmission stage production and virulence in schistosome parasites
<p>These data were generated related to the study of the <strong>Genetic architecture of transmission stage production and virulence in schistosome parasites</strong>.</p> <p><strong>Abstract:</strong> Both theory and experimental data from multiple pathogens suggest that the production of transmission stages should be strongly associated with virulence, but the genetic bases of parasite transmission/virulence traits are poorly understood. In the blood fluke <em>Schistosoma mansoni</em>, parasite genotypes show extensive variation in numbers of cercariae larvae shed from infected snails. Furthermore, high shedding parasites cause high mortality to snails while low shedding parasites cause low mortality, consistent with expected trade-offs between parasite transmission and virulence. To understand the genetic basis of transmission stage production/virulence, we conducted reciprocal crosses between schistosomes from two laboratory populations that differ 8-fold in cercarial shedding and in their virulence to inbred snail hosts. Each parasite generation, we determined four-week cercarial shedding profiles in inbred <em>Biomphalaria glabrata</em> snails infected with single parasite larvae. We sequenced the whole genome of the F0 parents and the exome of the F1 progeny and 188 F2 progeny from each cross, and used linkage mapping to reveal quantitative trait loci (QTLs) underlying transmission stage production. Cercarial production is polygenic: we found three major QTLs on chromosome 1, 3 and 5 (Log-of-the-odds (LOD) = 5.61, 8.19, 6.25) and two minor QTLs on chromosome 2 and 4. These QTLs act additively and explained 28.56% of the phenotypic variation in cercarial shedding. Alleles inherited from the high and low shedding parents were co-dominant at all QTLs, except for chr. 1 and chr. 4 where the “high cercarial shedding” allele is recessive. These results demonstrate that the genetic architecture of key traits directly relevant to schistosome ecology can be dissected using classical linkage mapping approaches, and set the stage for fine mapping and functional validation of the genes involved using the growing armory of functional and cell biology tools available for this parasite.</p> <p> </p> <p>This dataset is made of 4 tables:</p> <ul> <li>F0_parental_populations.csv</li> <li>F1.csv</li> <li>F2.csv</li> <li>sex.tsv</li> </ul> <p> </p> <p><strong>F0_parental_populations.csv</strong></p> <p> </p> <p>This table contains the number of cercariae produced by each individual <em>Biomphalaria glabrata</em> Bg26 snails infected with single genotypes of <em>Schistosoma mansoni</em> parasite. We have compared the transmission stage production between two different populations of <em>S. mansoni</em> parasite. This dataset was originally published in Le Clec'h et al., 2019 (Striking differences in virulence, transmission and sporocyst growth dynamics between two schistosome populations. Parasites and Vectors. 2019 Oct 16;12(1):485. doi: 10.1186/s13071-019-3741-z).</p> <p> </p> <p>This table is made of 9 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample.</li> <li><strong>schistosoma_population</strong>: the population of schistosome used for the infection of the snail. Each snail was infected with a single parasite genotype. We have used SmLE (high shedder/highly virulent population) and SmBRE (low shedding/low virulent population).</li> <li><strong>Shed.1</strong>: the number of cercariae produced by each parasite genotype at the first shedding week (4 weeks after exposure to parasite).</li> <li><strong>Shed.2</strong>: the number of cercariae produced by each parasite genotype at the second shedding week (5 weeks after exposure to parasite).</li> <li><strong>Shed.3</strong>: the number of cercariae produced by each parasite genotype at the third shedding week (6 weeks after exposure to parasite).</li> <li><strong>Shed.4</strong>: the number of cercariae produced by each parasite genotype at the fourth shedding week (7 weeks after exposure to parasite).</li> <li><strong>sum</strong>: the sum of the cercariae produced by each parasite genotype over the 4 weeks of shedding (Shed.1 + Shed.2 + Shed.3 + Shed.4).</li> <li><strong>average</strong>: the average number of cercariae produced by each parasite genotype over the 4 weeks of shedding.</li> <li><strong>sex</strong>: the sex of each parasite genotype determined by PCR <sup>1</sup>.</li> </ul> <p> </p> <p><strong>F1.csv</strong></p> <p> </p> <p>This table contains the number of cercariae produced by each individual <em>Biomphalaria glabrata</em> Bg26 snails infected with single genotypes of F1 progeny from the cross SmLE x SmBRE (see the manuscript for details).</p> <p> </p> <p>This table is made of 11 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample.</li> <li><strong>cross</strong>: F1A or F1B cross. Each snail was infected with a single parasite genotype from either F1A or F1B progeny.</li> <li><strong>Shed.1</strong>: the number of cercariae produced by each parasite genotype at the first shedding week (4 weeks after exposure to parasite).</li> <li><strong>Shed.2</strong>: the number of cercariae produced by each parasite genotype at the second shedding week (5 weeks after exposure to parasite).</li> <li><strong>Shed.3</strong>: the number of cercariae produced by each parasite genotype at the third shedding week (6 weeks after exposure to parasite).</li> <li><strong>Shed.4</strong>: the number of cercariae produced by each parasite genotype at the fourth shedding week (7 weeks after exposure to parasite).</li> <li><strong>sum</strong>: the sum of the cercariae produced by each parasite genotype over the 4 weeks of shedding (Shed.1 + Shed.2 + Shed.3 + Shed.4).</li> <li><strong>average</strong>: the average number of cercariae produced by each parasite genotype over the 4 weeks of shedding.</li> <li><strong>PO</strong>: the total phenoloxidase activity in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>2</sup>.</li> <li><strong>Hb</strong>: the hemoglobin rate in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>3</sup>.</li> <li><strong>sex</strong>: the sex of each parasite genotype determined by PCR <sup>1</sup>.</li> </ul> <p> </p> <p><strong>F2.csv</strong></p> <p>This table contains the number of cercariae produced by each individual <em>Biomphalaria glabrata</em> Bg26 snails infected with single genotypes of F2 progeny from the cross SmLE x SmBRE (see the manuscript for details).</p> <p> </p> <p>This table is made of 10 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample.</li> <li><strong>cross</strong>: F2A or F2B cross. Each snail was infected with a single parasite genotype from either F2A or F2B progeny.</li> <li><strong>Shed.1</strong>: the number of cercariae produced by each parasite genotype at the first shedding week (4 weeks after exposure to parasite).</li> <li><strong>Shed.2</strong>: the number of cercariae produced by each parasite genotype at the second shedding week (5 weeks after exposure to parasite).</li> <li><strong>Shed.3</strong>: the number of cercariae produced by each parasite genotype at the third shedding week (6 weeks after exposure to parasite).</li> <li><strong>Shed.4</strong>: the number of cercariae produced by each parasite genotype at the fourth shedding week (7 weeks after exposure to parasite).</li> <li><strong>sum</strong>: the sum of the cercariae produced by each parasite genotype over the 4 weeks of shedding (Shed.1 + Shed.2 + Shed.3 + Shed.4)</li> <li><strong>average</strong>: the average number of cercariae produced by each parasite genotype over the 4 weeks of shedding.</li> <li><strong>PO</strong>: the total phenoloxidase activity in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>2</sup>.</li> <li><strong>Hb</strong>: the hemoglobin rate in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>3</sup>.</li> </ul> <p> </p> <p><strong>sex.csv</strong></p> <p> </p> <p>This table contains the <em>in silico</em> sexing of F0 parents, F1 parents and F2 progeny of <em>S. mansoni</em> parasites.</p> <p>This table is made of 4 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample</li> <li><strong>read_depth</strong>: the read depth ratio between the Z-linked and pseudo-autosomal regions.</li> <li><strong>ratio</strong>: computed ratio between the Z-linked and pseudo-autosomal regions.</li> <li><strong>sex</strong>: the sex of each parasite genotype determined <em>in silico</em>: a ratio around 1 corresponds to a male carrying two Z chromosomes while a ratio around 0.5 corresponds to a female carrying only one Z chromosome.</li> </ul> <p><strong>Notes:</strong></p> <p><sup>1</sup>. Le Clec’h W, Chevalier F et al. Real-time PCR for sexing Schistosoma mansoni cercariae. Mol Biochem Parasitol. Jan-Feb 2016; 205(1-2):35-8.doi: 10.1016/j.molbiopara.2016.03.010. Epub 2016 Mar 26.</p> <p><sup>2</sup>. Le Clec’h W et al. Characterization of hemolymph phenoloxidase activity in two Biomphalaria snail species and impact of Schistosoma mansoni infection. Parasit Vectors. 2016 Jan 22; 9:32.doi: 10.1186/s13071-016-1319-6.</p> <p><sup>3</sup>. Le Clec'h et al. Striking differences in virulence, transmission and sporocyst growth dynamics between two schistosome populations. Parasit Vectors. 2019 Oct 16; 12(1):485. doi: 10.1186/s13071-019-3741-z.</p>
Lithospheric architecture of the Paranapanema Block and adjacent nuclei using multiple-frequency P-wave seismic tomography
<p>We provide: the tomographic model for dephts 68 to 768 km as text files, where the first column is the longitude, the second is the latitude and the third if the velocity perturbation; the proposed limits for the Paranapanema Block, Luiz Alves Craton and Rio Apa Craton as a csv file (Figure 12 of the paper), where the first column is the name of the feature, the second is the longitude and the third is the latitude; and the abstract for the paper "Lithospheric architecture of the Paranapanema Block and adjacent nuclei using multiple-frequency P-wave seismic tomography".</p>
Raw data corresponding to the scientific paper: "A modular telerehabilitation architecture for upper limb robotic therapy" (Advances in Mechanical Engineering 2017, Vol. 9(1) 1-13)
<p>Acquired raw data necessary to implement the adaptive control strategy grounded on multimodal information.<br> In addition, raw data for the computation of the communication parameters needed for the assessment of the implemented telerehabilitation architecture are provided.</p> <p>a) End-effector positions and velocities (x, y, vx, vy) in three conditions: healthy (Fig 9) and constraint simulated stroke behaviour (Fig 10) without robotic assistance and simulated stroke behavior with robotic assistance (Fig 11)</p> <p>b) Performance indicators and control parameters for all the recruited subjects in both conditions healthy behaviour and simulated stroke behaviour (Fig 12a and Fig 12b)</p> <p>c) Computational values for evaluating telerehabilitation performance (Table 1)</p> <p> </p> <p> </p>
The impact of graphene composite surfaces in the architecture of cyanobacterial biofilms
<p>Glass, epoxy resin and graphene nanoplatelet (GNP) composite were analyzed regarding wettability and roughness. Cyanobacterial biofilms from Lusitaniella coriacea LEGE 07157 were developed on these surfaces for seven weeks and under controlled hydrodynamic conditions. Biofilm wet weight, structural parameters (biofilm thickness, empty spaces, and average size of empty spaces) obtained from Optical Coherence Tomography (OCT), and biovolume and surface coverage obtained by Confocal Laser Scanning Microscopy (CLSM) were analyzed.</p>
SyDRA: An Approach to Understand Game Engine Architecture
<p>Game engines are tools to facilitate video game development. They provide graphics, sound, and physics simulation features, which would have to be otherwise implemented by developers. Even though essential for modern commercial video game development, game engines are complex and developers often struggle to understand their architecture, leading to maintainability and evolution issues that negatively affect video game productions. In this paper, we present the Subsystem-Dependency Recovery Approach (SyDRA), which helps game engine developers understand game engine architecture and therefore make informed game engine development choices. By applying this approach to 10 open-source game engines, we obtain architectural models that can be used to compare game engine architectures and identify and solve issues of excessive coupling and folder nesting. Through a controlled experiment, we show that the inspection of the architectural models derived from SyDRA enables developers to complete tasks related to architectural understanding and impact analysis in less time and with higher correctness than without these models.</p>
Raw data: Diversity in root architecture of durum wheat at stem elongation under drought stress
<p>Raw data on above and below ground traits from a greenhouse drought stress experiment with six durum wheat varieties performed at Tuscia University, Viterbo, Italy. Measurements were performed at stem elongation stage; recorded traits: plant shoot length, dry weight, number of leaves and tillers; total root length, root surface area, mean diameter, volume, number of tips, forks, crossings, root dry weight and root angle. Root measurments were performed on the whole root system and the topsoil area (upper 5 cm). </p>
Harvesting the Value of Data: A Data Architectural Smart Solutions Approach for Enabling Digital Water - Dataset
<p>This database includes the test data used to produce the results for the following article:</p> <p>Harvesting the Value of Data: A Data Architectural Smart Solutions Approach for Enabling Digital Water by S. Seshan, D. Vries, M. Zandvoort, A. W. C. van der Helm, J. Poinapen, Smart Water - WaterAge Magazine, February 16-23</p>
Fiware4Water Reference Architecture
<p>Fiware4Water Reference Architecture developed in the Fiware4Water EU Project founded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 821036.</p>
Dataset of - Comparative architectural analysis of Cerberiopsis genus (Apocynaceae) -
<p>This dataset was used for a comparative architectural analysis of the genus <em>Cerberiopsis</em> (Apocynaceae), endemic to New Caledonia.<br> The data were collected on several areas of the territory (GPS coordinates provided) from 11/05/2021 to 28/07/2021.<br> For each individual described an architectural drawing is associated.</p>
Generators of Architectural Atmosphere Symposium
<p>This dataset is an output of the ‘Generators of Architectural Atmosphere’ Symposium, an Interfaces event of the Academy of Neuroscience for Architecture (ANFA), sponsored by the EU’s Horizon 2020 MSCA Program — RESONANCES Project, the Perkins Eastman Studio, and the 2020 Regnier Chair. The symposium was hosted in the College of Architecture, Planning and Design (APDesign), Kansas State University, Manhattan (Kansas, USA), on April 12, 2022. Speakers: Bob Condia (Kansas State University), Elisabetta Canepa (University of Genoa and Kansas State University), Kutay Güler (Kansas State University), and Tiziana Proietti (Oklahoma University).</p> <p><br> Recent advances in science confirm many of the architect’s expert intuitions opening new doors to the perception of space and the meaning of architectural and urban design. The symposium ‘Generators of Architectural Atmosphere’ presented to an audience of students, educators, architects, and scientists a conversation about human perception of design and building, specifically speaking to the significance of atmosphere, mood, architectural proportion, and virtual reality.</p> <p><br> This dataset is made of six files:<br> no. 1 dataset summary (.pdf)<br> no. 1 symposium poster (.pdf)<br> no. 4 videos containing speakers’ presentations (.mp4).</p> <p><br> Recorded videos of each lecture are also available on the RESONANCES project website (www.resonances-project.com/harvest) and its YouTube channel (UCk32skDiT4Bz1AHnltT51Yg).</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.