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Perspectives and experiences of Covid-19: Two Irish studies of families in disadvantaged communities
<p>Data files related to the manuscript <em>Perspectives and experiences of Covid-19: Two Irish studies of families in disadvantaged communities</em>. The manuscript includes two studies. The following materials are shared below.</p> <p>Study 1: </p> <p>- Qualitative data (Microsoft Office Excel file)</p> <p>- Codebook for coding the qualitative data developed through content analysis (pdf file)</p> <p>Study 2:</p> <p>- Qualitative data (Microsoft Office Excel file)</p> <p>Data are named using the following naming convention: Project acronym_Date (YYYYMMDD)_Study_Type of data_Type of participant_Version number of the file.</p> <p>Both studies in the manuscript were developed by the Childhood Development Initiative (CDI), Dublin, Ireland. Study 1 was conducted within the project PEAR_EC, that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 890925. Study 2 was conducted within the Child Poverty research project, funded by Tusla under the Area Based Childhood funding and the Child and Youth Participation Initiatives grant.</p>
BOKURAD X-band radar data of two severe storms in Vienna, Austria
<p>Polarimetric X-band weather radar data of two severe storms in Vienna, Austria occurring on 26 June 2020 and 21 July 2020. The multicell storm on 26 June 2020 produced large hail with reported hail sizes of up to 5 cm. The storm on 21 July passed Vienna as squall line and produced non-severe (< 2 cm) hail.</p> <p>HDF5 data conforms to the OPERA Data Information Model (ODIM) standard.</p>
A dataset of anonymised hospitalised COVID-19 patient data: outcomes, demographics and biomarker measurements for two New York hospitals
<p>These datasets are for a cohort of n=1540 anonymised hospitalised COVID-19 patients, and the data provide information on outcomes (i.e. patient death or discharge), demographics and biomarker measurements for two New York hospitals: State<br> University of New York (SUNY) Downstate Health Sciences University and Maimonides<br> Medical Center.</p> <p>The file "demographics_both_hospitals.csv" contains the ultimate outcomes of hospitalisation (whether a patient was discharged or died), demographic information and known comorbidities for each of the patients.</p> <p>The file "dynamics_clean_both_hospitals.csv" contains cleaned dynamic biomarker measurements for the n=1233 patients where this information was available and the data passed our various checks (see https://doi.org/10.1101/2021.11.12.21266248 for information of these checks and the cleaning process). Patients can be matched to demographic data via the "id" column.</p> <p><strong>Study approval and data collection</strong></p> <p>Study approval was obtained from the State University of New York (SUNY) Downstate Health Sciences University Institutional Review Board (IRB\#1595271-1) and Maimonides Medical Center Institutional Review Board/Research Committee (IRB\#2020-05-07). A retrospective query was performed among the patients who were admitted to SUNY Downstate Medical Center and Maimonides Medical Center with COVID-19-related symptoms, which was subsequently confirmed by RT PCR, from the beginning of February 2020 until the end of May 2020. Stratified randomization was used to select at least 500 patients who were discharged and 500 patients who died due to the complications of COVID-19. Patient outcome was recorded as a binary choice of “discharged” versus “COVID-19 related mortality”. Patients whose outcome was unknown were excluded. Demographic, clinical history and laboratory data was extracted from the hospital’s electronic health records.</p>
ImageNet-Cartoon and ImageNet-Drawing: two domain shift datasets for ImageNet
<p>Benchmarking the robustness to distribution shifts traditionally relies on dataset collection which is typically laborious and expensive, in particular for datasets with a large number of classes like ImageNet. An exception to this procedure is ImageNet-C (Hendrycks & Dietterich, 2019), a dataset created by applying common real-world corruptions at different levels of intensity to the (clean) ImageNet images. Inspired by this work, we introduce ImageNet-Cartoon and ImageNet-Drawing, two datasets constructed by converting ImageNet images into cartoons and colored pencil drawings, using a GAN framework (Wang & Yu, 2020) and simple image processing (Lu et al., 2012), respectively.</p> <p>This repository contains ImageNet-Cartoon and ImageNet-Drawing. Checkout the <a href="https://github.com/oberman-lab/imagenet-shift">official GitHub Repo</a> for the code on how to reproduce the datasets.</p> <p>If you find this useful in your research, please consider citing:</p> <p> @inproceedings{imagenetshift,<br> title={ImageNet-Cartoon and ImageNet-Drawing: two domain shift datasets for ImageNet},<br> author={Tiago Salvador and Adam M. Oberman},<br> booktitle={ICML Workshop on Shift happens: Crowdsourcing metrics and test datasets beyond ImageNet.},<br> year={2022}<br> }</p>
Two Dynamic Attributed Networks: Enron & Jazz LastFM
<p><strong>Description. </strong>This repository contains two dynamic and attributed social networks extracted from the well-known Enron email dataset, and from the LastFM online music platform. We used both networks in the following papers:</p> <ol> <li>G. K. Orman, V. Labatut, M. Plantevit, and J.-F. Boulicaut, “A Method for Characterizing Communities in Dynamic Attributed Complex Networks,” in <em>IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM)</em>, 2014, pp. 481–484. ⟨<a href="https://hal.archives-ouvertes.fr/hal-01011913">hal-01011913</a>⟩ DOI: <a href="http://doi.org/10.1109/ASONAM.2014.6921629">10.1109/ASONAM.2014.6921629</a></li> <li>G. K. Orman, V. Labatut, M. Plantevit, and J.-F. Boulicaut, “Interpreting communities based on the evolution of a dynamic attributed network,” <em>Social Network Analysis and Mining</em>, vol. 5, p. 20, 2015. ⟨<a href="https://hal.archives-ouvertes.fr/hal-01163778">hal-01163778</a>⟩ DOI: <a href="http://doi.org/10.1007/s13278-015-0262-4">10.1007/s13278-015-0262-4</a></li> </ol> <p><strong>Citation. </strong>If you use these data, please cite the paper [1].</p> <p><br><code>@InProceedings{Orman2014,</code><br><code> author = {Orman, Günce Keziban and Labatut, Vincent and Plantevit, Marc and Boulicaut, Jean-François},</code><br><code> title = {A Method for Characterizing Communities in Dynamic Attributed Complex Networks},</code><br><code> booktitle = {IEEE/ACM International Conference on Advances in Social Network Analysis and Mining},</code><br><code> year = {2014},</code><br><code> pages = {481-484},</code><br><code> address = {Beijing, CN},</code><br><code> publisher = {IEEE Publishing},</code><br><code> doi = {10.1109/ASONAM.2014.6921629},</code><br><code>}</code></p> <p>----------------------------------------</p> <p><strong>Enron dataset. </strong>Enron is a well-known dataset in network science and text mining. It has been widely studied in academia. In network science, several different static networks appear in the literature. However, up to now, no dynamic network has been published, even though the email conversations have timestamps.</p> <p>We processed the original dataset to extract a dynamic network. There are 158 nodes representing Enron employees between 1997 and 2002. All the addresses in the <em>From</em> and <em>To</em> fields of each email are considered, resulting in a network of 28,802 nodes representing a distinct email addresses. A time span of one month is chosen for the time slices, generating 46 time slices. Two nodes are connected if the corresponding persons emailed each other during the given time slice. We did not make any distinction between sender and receiver, and thus produced an undirected dynamic network. </p> <p>----------------------------------------</p> <p><strong>LastFM dataset. </strong>LastFM is a music website that allows its members to register and listen to music online. It is also a social network platform, because its members can declare friendship relationships. In LastFM, members can join a predefined group related to their music tastes, and participate in music-related events such as concerts. Using the LastFM API, One can retrieve the information of the artist and track a user has listened to, with the exact timestamp. Moreover, it is also possible to get some information regarding the music-related events the users joined, including the exact timestamps.</p> <p>We extracted a network by focusing on the members of the <em>Jazz</em> group, which is supposed to include users appreciating this type of music. We took advantage of the LastFM API to retrieve the members of this group and the existing friendship connection between them. In the end, our network contains 1,702 nodes representing the <em>Jazz</em> users. The friendship relationships between them is static, though, in the sense that the LastFM API does not give access to any temporal information regarding their beginning or end. So, we decided to take advantage of some additional information to get a dynamic structure. We put a link between two nodes if two conditions were simultaneously true: 1) both considered users listened to at least one common artist for a specific period of time, and 2) they are friends on the LastFM platform. For the mentioned period of time, we decided to use 3 months with 1 month overlap, after having analyzed the dynamics of the platform. In other words, we extracted a dynamic network in which each time slice represents three months of LastFM usage for our 1,702 users of interest. There are one month overlap between two consecutive time slices.</p>
Fig. 4. Female genitalia, scale bars 0.25 in On Anchonidium Bedel, 1884 sensu stricto, with descriptions of two new species from the Iberian peninsula (Coleoptera, Curculionidae: Molytinae)
Fig. 4. Female genitalia, scale bars 0.25 mm. A. spathiferum sp. nov., Serra da Estrela: (A) Ventrite VIII. (D) Spermatheca. (G) Gonocoxite of ovipositor. (L-M) Sclerotized bursal atrium (dorso-ventral and lateral view). A. braunerti sp. nov., Serra do Monchique: (B) Ventrite VIII. (E) Partly broken spermatheca. (ovipositor and bursal atrium are missing). A. unguiculare, France, St.-Coulomb: (C) Ventrite VIII. (F) Spermatheca. (H) Gonocoxite of ovipositor. (J-K) Sclerotized bursal atrium (dorso-ventral and lateral view) A. spathiferum sp. nov.: (I) Dissected female genitalia. Abbreviations: te = tergite VIII; ve = ventrite VIII; ov = ovipositor; in = intesticals; bu = strongly sclerotized bursal atrium; sp = spermatheca. A. caucasicum: (N-O) Sclerotized bursal atrium. Caulomorphus lederi: (P-Q) Sclerotized bursal atrium. ►
Two-sex integrated population model reveals intersexual differences in life history strategies in Cooper's Hawks
<p>This site contains data files and model code for a dynamic nesting territory occupance model and 2-sex integrated population model for Cooper's hawks in Albuquerque, New Mexico, USA, 2011 - 2020.</p>
Fig. 2. The 5 in The family Cretapsychidae (Insecta, Trichoptera) from mid- Cretaceous Burmese amber, with descriptions of two new species
Fig. 2. The 5-segmented maxillary palps of species of Cretapsyche Wichard, Neumann, Müller & Wang, 2018. A–B. C. elegans Wichard, Neumann, Müller & Wang, 2018. C–D. C. circula Wichard, Neumann, Müller & Wang, 2018. E–F. C. palpinova Wichard & Neumann, 2019.
Fig. 3 in The family Cretapsychidae (Insecta, Trichoptera) from mid- Cretaceous Burmese amber, with descriptions of two new species
Fig. 3. Cretapsyche kachini sp. nov., holotype, ♂ (ZFMK-TRI000829). A. Dorsal view. B. Drawing of a forewing. C. Maxillary and labial palps. D. Drawing of the maxillary palp. E. Male genitalia in ventrolateral view, distinctly flattened and partially distorted. F. Drawing of male genitalia, left half.
Fig. 4 in The family Cretapsychidae (Insecta, Trichoptera) from mid- Cretaceous Burmese amber, with descriptions of two new species
Fig. 4. Cretapsyche myanmari sp. nov., holotype, ♂ (ZFMK-TRI000830). A. Dorsal view. B. Drawing of a forewing. C. Head in dorsal view, with scapus, compound eye and maxillary palp. D. Left maxillary palp. E. Drawing of a maxillary palp. F. Male genitalia in ventral view. G. Drawing of male genitalia.
Fig. 1 in The family Cretapsychidae (Insecta, Trichoptera) from mid- Cretaceous Burmese amber, with descriptions of two new species
Fig. 1. Cretapsyche Wichard, Neumann, Müller & Wang, 2018, wing venation in forewing with forks II, III, and V present, discoidal and thyridial cells open or closed, nygmata absent, in hindwing with forks I, III, and V usually present.
Fig. 5. A in Shell Morphology, Growth Pattern And Population Dynamics Of The Land Snail Xerolenta Obvia (Menke, 1828) In Two Areas Of Different Climatic Conditions Within A Temperate Climate Region
Fig. 5. A) Mean monthly whorl increment of Xerolenta obvia in two growth seasons in SW (solid line) and NE (dashed line) populations; B) mean (black lines), maxi- mum and minimum (grey lines) monthly temperature, and C) total monthly precipitation during the study period in SW (solid lines) and NE (dashed lines) sites. Data from nearest meteorological stations in Wrocław and Suwałki (IMGW-PIB data)
Fig. 2 in Shell Morphology, Growth Pattern And Population Dynamics Of The Land Snail Xerolenta Obvia (Menke, 1828) In Two Areas Of Different Climatic Conditions Within A Temperate Climate Region
Fig. 2. Distribution of shell pattern types of Xero- lenta obvia snails in the two populations studied, SW (n = 781) and NE (n = 1387)
Data from two studies of learning in visual span working memory tasks.
<p>Data from two working memory span tasks. The span set size could be up to six, and each row in each .csv is one response (i.e., one "click" on an item). Thus, each trial's data is spread out on multiple rows, with accuracy being a binary variable.</p>
Fig. 9. N-dimensional morphospace for the 28 in Taxonomic implications of describing a new species of Loimia (Annelida, Terebellidae) with two size-dependent morphotypes
Fig. 9. N-dimensional morphospace for the 28 species of Loimia Malmgren, 1866, calculated for the larger (body length>100 mm, grey) and smaller (body length <100 mm, pink) species separately; red dots = larger and smaller individuals of Loimia davidi sp. nov.; large points with white borders = centroids of each hypervolume; hypervolume shape and boundaries defined by 5000 random points; table = summary of hypervolume richness, dispersion and evenness.
Fig. 10 in Taxonomic implications of describing a new species of Loimia (Annelida, Terebellidae) with two size-dependent morphotypes
Fig. 10. Original drawing of Terebella gigantea Montagu, 1819 by Eliza Dorville, included in Montagu (1819: pl. xi) and downloaded at http://biodiversitylibrary.org/page/758907 [accessed 12 Dec. 2018].
Fig. 5 in Taxonomic implications of describing a new species of Loimia (Annelida, Terebellidae) with two size-dependent morphotypes
Fig. 5. Loimia davidi sp. nov.A–C, G–H. Paratype CEAB A.P. 935B.D–F. Paratype MNCN 16.01/19140. A. Anterior fragment in ventral view. B. Anterior end in ventral view. C. Anterior end in lateral view. D. Anterior end in dorsal view. E. Anterior end in frontal view. F. Anterior end in lateral view, showing ocular spots. G. Posterior end in dorsal view. H. Detail of the pygidial papillae. Abbreviations: ll = lower lip; ll1 = first pair of lateral lappets; ll2 = second pair of lateral lappets; tm = tentacular membrane; ul =
Fig. 8 in Taxonomic implications of describing a new species of Loimia (Annelida, Terebellidae) with two size-dependent morphotypes
Fig. 8. Phylogenetic reconstruction after Maximum Likelihood analyses of the cox1 fragment. Bootstrap
Data from: Local adaptation to seasonal cues at the fronts of two parallel, climate-induced butterfly range expansions
<p>Climate change allows species to expand polewards, but non-changing environmental features may limit expansions. Daylength is unaffected by climate and drives life cycle timing in many animals and plants. Because daylength varies over latitudes, poleward-expanding populations must adapt to new daylength conditions. We studied local adaptation to daylength in the butterfly <em>Lasiommata megera</em>, which is expanding northwards along several routes in Europe. Using common garden laboratory experiments with controlled daylengths, we compared diapause induction between populations from the southern-Swedish core range and recently established marginal populations from two independent expansion fronts in Sweden. Caterpillars from the northern populations entered diapause in clearly longer daylengths than those from southern populations, with the exception of caterpillars from one geographically isolated population. The northern populations have repeatedly and rapidly adapted to their local daylengths, indicating that the common use of daylength as seasonal cue need not strongly limit climate-induced insect range expansions.</p>
Fig. 4 in Taxonomic implications of describing a new species of Loimia (Annelida, Terebellidae) with two size-dependent morphotypes
Fig. 4. Schematic drawings of the thoracic uncini. A. Loimia davidi sp. nov., holotype (CEAB A.P. 935A). B. L. ramzega Lavesque, Bonifácio, Londoño-Mesa, Le Garrec & Grall, 2017, redrawn after Lavesque et al. (2017). C. L. davidi sp. nov., paratype (CEAB A.P. 935B). D. L. salazari LondoñoMesa & Carrera-Parra, 2005, redrawn after Londoño-Mesa & Carrera-Parra (2005). E. L. minuta Treadwell, 1929 from Florida (USA), redrawn after Londoño-Mesa (2009). F. L. minuta from the Mexican Caribbean, redrawn after Londoño-Mesa & Carrera-Parra (2005). G. L. medusa (Savigny, 1822) from the Persian Gulf, redrawn after Hutchings & Glasby (1995). H. L. medusa from the Mexican
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.