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Data for: A systematic review and meta-analysis of Drosophila short-term-memory genetics: robust reproducibility, but little independent replication
<p>All the data, code, analyses, and figures used in the study entitled: "A systematic review and meta-analysis of Drosophila short-term-memory genetics: robust reproducibility, but little independent replication" <em>(doi: https://doi.org/<a href="http://bb2sz3ek3z.search.serialssolutions.com/?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&__char_set=utf8&rft_id=info:doi/10.1101/247650&rfr_id=info:sid/libx&rft.genre=article">10.1101/247650</a>)</em></p> <p><strong>Abstract</strong></p> <p>Geneticists have long used olfactory conditioning techniques in <em>Drosophila</em> to identify the neurons and genes that mediate learning. While this method has characterized an abundance of memory-related genes, little is known about how these genes induce short-term memory (STM) via signaling pathways; characterizing these networks will be essential to developing mechanistic models of memory formation. Here, we investigated why elucidating the STM pathways has been relatively slow. One possibility is that the STM evidence base is weak due to publication of poorly reproducible results, as has been observed in other fields. We examined this hypothesis by performing a systematic review and subsequent meta-analysis of the STM genetics field. Using several metrics to quantify the variation between discovery articles and follow-up studies, we found that seven genes were highly replicated, showed no publication bias, and had generally high reproducibility. However, the remaining ~80% memory genes have not been replicated since their initial discovery. Although we observed only a few studies that investigated gene interactions, the reviewed genes could together account for >1000% memory. This large summed effect size indicates either that some of the gene findings are not reproducible, that many memory genes participate in shared pathways, or that current protocols lack the specificity needed to identify core plasticity memory genes. Mechanistic theories of memory and cognition will require the convergence of evidence from system, circuit, cellular, molecular, and genetic experiments. As this study demonstrates, systematic data synthesis is an essential tool for this integrated brain science.</p>
Comparative Independent Fiscal Institutions Dataset
<p>The <strong>Comparative Independent Fiscal Institution Dataset (CifiD)</strong> provides information about the legal provisions that constitute the <strong>monitoring scope, powers and institutional design</strong> of <strong>41 Independent Fiscal Institutions (IFIs) in 38 countries</strong> including most EU member states. The dataset covers legislative changes to these institutions until 2018.</p> <p>Furthermore, based on the coding <strong>new indices on the political independence and the level of expertise</strong> of these fiscal monitoring bodies were developed, allowing researchers to investigate the roots and effectiveness of fiscal monitoring and its effects on the fiscal performance of national governments more thoroughly.</p> <p><strong>Institutional properties</strong></p> <p>The CifiD contains 42 items that refer to the institutional properties of fiscal monitoring bodies as they are defined in legislation, classified along the following dimensions:</p> <ul> <li>Institutional model, monitoring and intervention powers</li> <li>IFI design: statutory rules, operations, leadership, composition, term rules, knowledge, transparency</li> </ul> <p>Two main indices were calculated and are part of the dataset:</p> <ul> <li>Formal independence from political interference</li> <li>Level of expertise</li> </ul>
Domain-Independent Reviews' Sentiment Polarity Classification using Shallow Word2Seq Convolutional Neural Network
<p>Reviews and comments are perceptions about specific services or products. They are embedded with hidden sentiments the reviewer has towards certain subjects. Business owners use customer reviews to understand customers’ perceptions about specific services or products. The ability to understand reviews’ sentiment from different domains or areas give decision makers and business owners the opportunity to make critical business decisions which can help them to increase profits of their businesses. Previous studies had focussed on classifying sentiment polarity by using traditional machine learning and deep learning methods. However, these suffered from low model generalization ability, causing the models to perform better only on single domain datasets rather than multiple domain datasets. The problem is the inability of the classification model to learn domain-restricted knowledge from multi-domain datasets. Aiming to improve the accuracy of the cross-domain classification, this paper proposes a method which uses Word2Seq Convolutional Neural Network (CNN) to classify reviews’ sentiment across multiple domain datasets (i.e. digital worker, movie, product, hotel and restaurant reviews). The evaluation showed that the proposed method had achieved the state-of-the-art performance. The high classification performance also promoted the reliability and effectiveness of implementing the Word2Seq CNN to classify reviews’ sentiment across different domains and learn domain restricted knowledge while improving the model generalization ability.</p> <p>The uploaded dataset is a sampled dataset with 5000 observations for both training and testing sets.</p>
Quantitative phase microscopy timelapse dataset of PNT1A, DU-145 and LNCaP cells with annotated caspase 3,7-dependent and independent cell death
<p>Time-lapse dataset of prostatic cell lines (DU-145, PNT1A, LNCaP) exposed to cell death-inducing compounds (staurosporine, doxorubicin) and black phosphorus. The time-lapse dataset is annotated as follows: (1) cell masks and cell numbers, (2) by cell death type and timepoint of death in the attached xlsx file. This dataset is supplementary to the article:</p> <p>Vicar, T., Raudenska, M., Gumulec, J. <em>et al.</em> The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death. <em>Sci Rep</em> <strong>10, </strong>1566 (2020). <a href="https://doi.org/10.1038/s41598-020-58474-w">https://doi.org/10.1038/s41598-020-58474-w</a></p> <p>Correlative fluorescence microscopy is in a separate dataset <a href="https://doi.org/10.5281/zenodo.4531900">10.5281/zenodo.4531900</a></p> <p>Code is available at <a href="https://github.com/tomasvicar/CellDeathDetect">https://github.com/tomasvicar/CellDeathDetect</a></p> <p><strong>Methods</strong></p> <p><em>Cell culture and cultured cell conditions</em><br> LNCaP cell line was established from a lymph node metastase of the hormone-refractory patient and contains a mutation in the AR gene. This mutation creates a promiscuous AR that can bind to different types of steroids. LNCaP cells are AR-positive, PSA-positive, PTEN-negative and harbor wild-type p53 {Skjoth, 2006 #150; Mitchell, 2000 #149}. PNT1A is immortalized non-tumorigenic epithelial cell line. PNT1A cells harbour wild-type p53. However, SV40 induced T-antigen expression inhibits the activity of p53. This cell line had lost the expression of androgen receptor (AR) and prostate-specific antigen (PSA) (Raudenska, 2019). DU-145 cell line is derived from the metastatic site in the brain and contains P223L and V274F mutations in p53. This cell line is PSA and AR-negative and androgen independent (Chappell, 2012). All cell lines used in this study were purchased from HPA Culture Collections (Salisbury, UK). and were cultured in RPMI-1640 medium with 10 % FBS. The medium was supplemented with antibiotics (penicillin 100 U/ml and streptomycin 0.1 mg/ml). Cells were maintained at 37°C in a humidified (60%) incubator with 5% CO2 (Sanyo, Japan).</p> <p><em>Correlative time-lapse quantitative phase-fluorescence imaging</em></p> <p>QPI and fluorescence imaging were performed by using multimodal holographic microscope Q-PHASE (TESCAN, Brno, Czech Republic). To determine the amount of caspase-3/7 product accumulation, cells were loaded with 2 µM CellEventTM Caspase-3/7 Green Detection Reagent (Life Technologies, Carlsbad, CA, USA) according to the manufacturer’s protocol and visualized using FITC 488 nm filter. To detect the cells with a loss of plasma membrane integrity, cells were stained with 1 ug/ml propidium iodide (Sigma Aldrich Co., St. Louis, MO, USA) and visualized using TRITC 542 nm filter. Nuclear morphology and chromatin condensation were analyzed using Hoechst 33342 nuclear staining (ENZO, Lausen, Switzerland) and visualized using DAPI 461 nm filter. Cells were cultivated in Flow chambers μ-Slide I Lauer Family (Ibidi, Martinsried, Germany). To maintain standard cultivation conditions (37°C, humidified air (60%) with 5% CO2) during time-lapse experiments, cells were placed in the gas chamber H201 - for Mad City Labs Z100/Z500 piezo Z-stages (Okolab, Ottaviano NA, Italy). To image enough cells in one field of view, lens Nikon Plan 10/0.30 were chosen. For each cell line and each treatment, seven fields of view were observed with the frame rate 3 mins/frame for 24 or 48 h respectively. Holograms were captured by CCD camera (XIMEA MR4021 MC-VELETA), fluorescence images were captured using ANDOR Zyla 5.5 sCMOS camera. Complete quantitative phase image reconstruction and image processing were performed in Q-PHASE control software. Cell dry mass values were derived according to {Prescher, 2005 #177} and {Park, 2018 #178} from the phase (eq. (1)), where m is cell dry mass density (in pg/μm2), φ is detected phase (in rad), λ is wavelength in μm (0.65 μm in Q-PHASE), and α is specific refraction increment (≈0.18 μm3/pg). All values in the formula except the Phi are constant. Phi (Phase) is the value measured directly by the microscope. Integrated phase shift through a cell is proportional to its dry mass, which enables studying changes in cell mass distribution (Park et al., 2018).</p> <p><strong>File description</strong></p> <p>There are three archives included for particular cell lines:</p> <ul> <li>QPI_annotated_timelapse_DU145.zip for DU-145 cells</li> <li>QPI_annotated_timelapse_PNT1A.zip for PNT1A cells</li> <li>QPI_annotated_timelapse_LNCaP.zip for LNCaP cells</li> </ul> <p>The archive includes of following files:</p> <ul> <li><strong>Tiff with time-lapse</strong> quantitative phase image (32-bit files 600x600px with values in pg/um2 with framerate 1 frame/3minutes with 1.59 px/um), named <em>QPI_cellline_treatment_FOV.tiff</em></li> <li><strong>Tiff file with segmentation</strong> mask for particular cells named <em>mask_cellline_treatment_FOV.tiff</em></li> <li><strong>xlsx table</strong> with cell death type (1 for apoptosis, 2 for necrosis, 3 for ambiguous/surviving) and time of death for representative cell number from mask, named <em>labels_cellline_treatment_FOV.xlsx</em></li> </ul> <p>file naming has following conventions:</p> <ul> <li>cell names: DU145, PNT1A, LNCaP for particular cell line</li> <li>treatments: st, bp, do for staurosporine, black phosphorus and doxorubicin</li> <li>fields of view: 1 to 7</li> </ul> <p>e.g. QPI_DU145_st_4.tif, mask_DU145_st_4.tif, labels_DU145_st_4.xlsx</p> <p>Note that correlative fluorescence images are available at <a href="https://doi.org/10.5281/zenodo.4531900">10.5281/zenodo.4531900</a></p>
Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment — IROS 2019
<p>This video accompanies a conference paper prepared for IEEE IROS 2019.</p> <p>Using multi-robot systems for autonomous construction allows for parallelization and scalability. Swarm construction furthermore exploits robot interactions and collaboration, such that the robot swarm collectively constructs artifacts beyond what a single comparable robot could achieve. Here we present an alternative concept of swarm construction that is distinct because it uses continuous building material. Our approach is unique in its use of braiding techniques for construction. We deploy fibres that potentially allow for structures that are not possible with building blocks. To achieve maximal scalability we restrict ourselves to a decentralized approach. The main challenges are the local coordination of the robot teams, self-organized task allocation, and the dynamic reconfiguration of the braiding scheme at runtime. We successfully validate our approach in multi-robot experiments that show both braiding and branching of the braid. In addition, we show options for implementing an open system—that is robots can join and leave the braiding process on the fly.</p>
Robot view — Supplementary dataset of experiment videos, IROS 2019 — Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment
<p>This is a supplementary dataset of experiment videos of self-organized multi-robot fibre deployment. Each video is true speed and shows the full respective experiment. These videos show the <strong>robot view</strong> of each experiment.</p> <p><em>For a 2-minute summary video of these experiments, refer to:</em></p> <pre>https://doi.org/10.5281/zenodo.3357187</pre> <p>This supplementary dataset accompanies a conference paper prepared for IEEE IROS 2019.</p> <p>Using multi-robot systems for autonomous construction allows for parallelization and scalability. Swarm construction furthermore exploits robot interactions and collaboration, such that the robot swarm collectively constructs artifacts beyond what a single comparable robot could achieve. Here we present an alternative concept of swarm construction that is distinct because it uses continuous building material. Our approach is unique in its use of braiding techniques for construction. We deploy fibres that potentially allow for structures that are not possible with building blocks. To achieve maximal scalability we restrict ourselves to a decentralized approach. The main challenges are the local coordination of the robot teams, self-organized task allocation, and the dynamic reconfiguration of the braiding scheme at runtime. We successfully validate our approach in multi-robot experiments that show both braiding and branching of the braid. In addition, we show options for implementing an open system—that is robots can join and leave the braiding process on the fly.</p>
Fibre view — Supplementary dataset of experiment videos, IROS 2019 — Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment
<p>This is a supplementary dataset of experiment videos of self-organized multi-robot fibre deployment. Each video is true speed and shows the full respective experiment. These videos show the <strong>fibre view</strong> of each experiment.</p> <p><em>For a 2-minute summary video of these experiments, refer to:</em></p> <pre>https://doi.org/10.5281/zenodo.3357187</pre> <p>This supplementary dataset accompanies a conference paper prepared for IEEE IROS 2019.</p> <p>Using multi-robot systems for autonomous construction allows for parallelization and scalability. Swarm construction furthermore exploits robot interactions and collaboration, such that the robot swarm collectively constructs artifacts beyond what a single comparable robot could achieve. Here we present an alternative concept of swarm construction that is distinct because it uses continuous building material. Our approach is unique in its use of braiding techniques for construction. We deploy fibres that potentially allow for structures that are not possible with building blocks. To achieve maximal scalability we restrict ourselves to a decentralized approach. The main challenges are the local coordination of the robot teams, self-organized task allocation, and the dynamic reconfiguration of the braiding scheme at runtime. We successfully validate our approach in multi-robot experiments that show both braiding and branching of the braid. In addition, we show options for implementing an open system—that is robots can join and leave the braiding process on the fly.</p>
Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial (Data for independent validation study)
<p>Digital technologies and advanced analytics have drastically improved our ability to capture and interpret health relevant data from patients. However, to date, limited data and results have been published detailing real-world patient compliance, demonstrating accuracy in target indications or examining what novel insights and clinical value can be derived. Here we present novel, digital mobility data from two studies: an independent, non-interventional validation study with elderly, naturally slow walking subjects, and a global, multi-site phase IIb clinical trial involving patients with age-related muscle loss and slow walking speed (sarcopenia). Based on these data, we validate the accuracy of a novel algorithm for capturing in-clinic and real-world gait speed in frail, slow-walking adults. We demonstrate the feasibility of continuous monitoring with a wearable inertial sensor in elderly adults in real-world settings, and propose minimum thresholds for compliance required for robust capture of gait behaviors in this population. We also show how simple, inferred contextual information, describing the length of a given walking bout, can explain some of the variation in real-world gait speed, and use this information to demonstrate for the first time a relationship between in-clinic performance and real-world gait speed behavior. This work lays a foundation for exploration of the clinical relevance and value of such measures and is a first step in building a more complete chain of evidence between standardized physical performance assessment, real-world behavior, and subjective perceptions of mobility, independence and health.</p> <p>This dataset contains data collected during the independent validation study: derived data from raw accelerometry data, and summary performance data.</p> <p>The full dataset, including raw accelerometry data, is available here: <a href="https://mueller-et-al-2019.s3.amazonaws.com/index.html">https://mueller-et-al-2019.s3.amazonaws.com/index.html</a></p>
Fig. 4 in Unique bone histology in partial large bone shafts from Upper Triassic of Aust Cliff, England: An early independent experiment in gigantism
Fig. 4. Flow diagram explaining the peculiar patterns of remodelling seen in the Aust Cliff bones BRSMG Cb3869 and Cb3870. In a simple vascular canal, lamellar bone is deposited centripetally forming a primary osteon. In the Aust Cliff shafts, the inner lamellae of this primary osteon are later resorbed from the inside. When erosion stops before the entire primary osteon is resorbed, leaving a resorption line within the primary osteon, new lamellae can be deposited and a secondary osteon forms within the primary one. With ongoing resorption, an erosion cavity forms, the size of which exceeds the one of the former primary osteon. When resorption stops, deposition of lamellar bone can resume.
Fig. 1 in Unique bone histology in partial large bone shafts from Upper Triassic of Aust Cliff, England: An early independent experiment in gigantism
Fig. 1. Photographs in different views of long bone shafts of BRSMG Cb3870 (A) and Cb3869 (B) from the Westbury Formation of Aust Cliff near Bristol, UK; in anterior (A 1, B 1),?lateral (A 2, B 2), posterior (A 3, B 3),?medial (A 4, B 4), proximal (B 5) and distal (A 6, B 6) views; cut and ground surface in distal view (A 5). The specimens represent notably straight shafts of large long bones, presumably femora. Core sample location indicated by the black circle. Note that in BRSMG Cb3870 only a small area of outer bone surface is preserved, constraining the sample location. Modified from Galton (2005).
Fig. 2 in Pellets independent of or associated with Bohemian Ordovician body fossils
Fig. 2. The Ordovician stratigraphy in the Prague Basin with shaded stratigraphic levels of occurrences of pellets.
Fig. 1 in Pellets independent of or associated with Bohemian Ordovician body fossils
Fig. 1. Map showing the sample localities and position of localities. Šárka Formation: 1, Osek; 2, Díly; 3, Borek; 4, Těškov; 5, Praha−Šárka; 6, Popovice near Brandýs nad Labem. Dobrotivá Formation: 7, Svatá Dobrotivá; 8, Praha−Šárka (pole u vily). Zahořany Formation: 9, Dubeč. Bohdalec Formation: 10, Nová Ves. Králův Dvůr Formation: 11, Králův Dvůr, 12; Lejškov.
Fig. 3 in Pellets independent of or associated with Bohemian Ordovician body fossils
Fig. 3. Clusters of pellets, especially associated with trilobites (A–D, F). A. Pricyclopyge binodosa (Salter, 1859); incomplete cephalon with the accumulation of pellets visible in the lateral part of the glabella; NM L 35062; Osek; Šárka Formation; × 4.7. B. Ormathops atavus (Barrande, 1872); cephalon with part of thorax and pellets; MR 529; Osek; Šárka Formation; × 2.5. C, F. Parabarrandia crassa (Barrande, 1872); NM L 16862; Sv. Dobrotivá; Dobrotivá Formation. C. Cephalothorax with hundreds of pellets in the anterior part of cephalon; × 1.4. F. Detail of the anterior part of cephalon with pellets; × 3.6. D. Ormathops atavus (Barrande, 1872);cephalonwithpelletsinitsanteriorpart;NML 36007;Díly;ŠárkaFormation;×2.7. E. Tomaculum problematicum Groom, 1902;S−shapedaccumulationof pellets;thenearby trilobitecranidiumis Ormathops atavus;NM L 23513;Osek; Šárka Formation;× 3.5. Allspecimens from the Ordovician of the Prague Basin, Czech Republic.
Fig. 5 in Pellets independent of or associated with Bohemian Ordovician body fossils
Fig. 5. Clusters of pellets associated with echinoderms (A, E), hyolithids (B, F), gastropods (C), and independent of body fossils (D, G). A. Sagittacystis prima (Barrande, 1887); specimen with pellets in the posterior part of the plastron; NM L 36008; Osek; Šárka Formation; × 2.5. B. Bactrotheca teres (Barrande, 1867); specimen with several pellets in the adapertural portion of the shell; NM L 36137; Praha−Šárka (pole u vily); Dobrotivá Formation; × 5.4. C. Trochonema excavatum Barrande in Perner, 1903; shell with one convolution filled by thousands of pellets; NM L 36502; Dubeč; Zahořany Formation; × 10.3. D. Tomaculum problematicum Groom, 1902; row with several tens of pellets; MR 9615; Díly; Šárka Formation; × 3.3. E. Mitrocystites mitra Barrande, 1887; specimen with cluster of pellets in the antero−lateral part of theca; CGU JH 1199; Díly; Šárka Formation; × 2.7. F. Elegantilites elegans (Barrande, 1847); specimen with several pellets; MR 22454; Díly; Šárka Formation; × 10. G. Tomaculum problematicum Groom, 1902; row with several tens of pellets; MR 9614; Rokycany; Šárka Formation; × 3. All specimens from the Ordovician of the Prague Basin, Czech Republic.
Fig. 4. SEMphotographsofclustersofpellets. A in Pellets independent of or associated with Bohemian Ordovician body fossils
Fig. 4. SEMphotographsofclustersofpellets. A. Detailofpelletsin Parabarrandia crassa (Barrande, 1872), note thatin the terminalpartsofsome pelletsthere are indications of central canals; NM L 16862, overall views of specimen are figured in Fig. 3C and F; × 21. B. Cross section through the cephalon of Pricyclopyge binodosa (Salter,1859)showingarrangementofpelletsinsidetheinteriorspaceoftheglabella;NML35062,overallviewofspecimenisfiguredin Fig.3A;orientationofthetrilobiteexoskeletonisdorsalsideup,thecrosssectionisorientedperpendicularlytothesagittalaxisofthetrilobitespecimen;×10.
Data of "Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics"
<p>The data reported in the paper: Sajjadi et al. (2021) Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics. PLoS ONE 16(7): e0253563. https://doi.org/10.1371/journal.pone.0253563<br> Each directory contains the data illustrated in one figure. The data structure and properties are described in .info files within each directory.</p> <p><br> All the simulations, analyses and illustrations have been conducted via the Epyc package (written in C++ and Python), developed by Sina Sajjadi. Epyc is available under GPLv3, at https://github.com/Sepante/Epyc.</p>
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain.
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.