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PLATE 1. Wroughtonia coffeana Long, 2020 in Addition to the review of the genus Wroughtonia Cameron, 1899 (Hymenoptera, Braconidae, Helconinae) from Vietnam: Description of two new species
PLATE 1. Wroughtonia coffeana Long, 2020, female, hototype 4a Head, dorsal 4aa Hind femur, outer side.
Scripts for theory figures in: Spatial Correlations Drive Long-Range Transport and Trapping of Excitons in Single H-Aggregates: Experiment and Theory
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Dataset related to the paper submitted in Journal of Geophysical Research : Solid Earth, named : A Controlled-Source Physical Model for Long Period Events
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Dataset belonging to SNF project: Use of physiologically based pharmacokinetic modelling to simulate dosing requirements of long-acting intramuscular antiretroviral drugs in special populations and to manage drug-drug interactions
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Data and code for Rowan et al. "Long-term biotic homogenization in the East African Rift System over the last 6 Myr of hominin evolution"
<p>Data and code for Rowan et al. "Long-term biotic homogenization in the East African Rift System over the last 6 Myr of hominin evolution" published in <em>Nature Ecology and Evolution</em>.</p>
IMD New High Spatial Resolution (0.25X0.25 degree) Long Period (1901-2022) Daily Gridded Rainfall Data Set Over India: Matlab script for merging into single netcdf/mat file with datetime stamping
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the transcriptome GTFs, FASTA and SQANTI reports for short-read assembled isoforms, long-read assembled isoforms and our assembled isoforms
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Concept Drift Datasets for - LSTM-SCCM: Long Short-Term Memory Stream Cruise Control Method for Automated Drift Adaptation
<p><strong>Datasets Guide:</strong></p> <p><strong>Drift Locations:</strong> Abrupt marks sudden drift onset. Incremental drift recurs every $K$ points. Gradual shows drift as a sequence of concepts c1 and c2.</p> <p><strong>E.D.</strong>: Euclidean distance between coefficients in space. </p> <p><strong>C-Start</strong>: Start Concept.</p> <p><strong>C-End</strong>: End Concept.</p> <p><strong>E.D. (Consec.)</strong>: E.D. between each two consecutive concepts in sequence.</p> <p> </p> <table style="border-collapse: collapse; width: 100.042%; height: 627px;"><colgroup><col style="width: 12.4949%;"><col style="width: 12.4949%;"><col style="width: 12.4949%;"><col style="width: 12.4949%;"><col style="width: 12.4949%;"><col style="width: 12.4949%;"><col style="width: 12.4949%;"><col style="width: 12.4949%;"></colgroup> <tbody> <tr style="height: 58.7812px;"> <td style="height: 58.7812px;"><strong>Dataset</strong></td> <td style="height: 58.7812px;"><strong>Drift Type</strong></td> <td style="height: 58.7812px;"><strong>Data Points</strong></td> <td style="height: 58.7812px;"><strong>Dimensions</strong></td> <td style="height: 58.7812px;"><strong>Noise</strong></td> <td style="height: 58.7812px;"><strong>Drift Locations</strong></td> <td style="height: 58.7812px;"><strong>E.D</strong><br><strong>(C-Start</strong><br><strong>to C-End)</strong></td> <td style="height: 58.7812px;"><strong>E.D.</strong><br><strong>(Consec.)</strong></td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>DS1</strong></td> <td style="height: 19.5938px;">Abrupt</td> <td style="height: 19.5938px;">1k</td> <td style="height: 19.5938px;">2</td> <td style="height: 19.5938px;">10</td> <td style="height: 19.5938px;">500</td> <td style="height: 19.5938px;">128.05</td> <td style="height: 19.5938px;">128.05</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>DS2</strong></td> <td style="height: 19.5938px;">Abrupt</td> <td style="height: 19.5938px;">10k</td> <td style="height: 19.5938px;">10</td> <td style="height: 19.5938px;">20</td> <td style="height: 19.5938px;">5k</td> <td style="height: 19.5938px;">327.23</td> <td style="height: 19.5938px;">327.23</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>DS3</strong></td> <td style="height: 19.5938px;">Abrupt</td> <td style="height: 19.5938px;">20k</td> <td style="height: 19.5938px;">50</td> <td style="height: 19.5938px;">30</td> <td style="height: 19.5938px;">10k</td> <td style="height: 19.5938px;">344.95</td> <td style="height: 19.5938px;">344.95</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>DS4</strong></td> <td style="height: 19.5938px;">Abrupt</td> <td style="height: 19.5938px;">100k</td> <td style="height: 19.5938px;">500</td> <td style="height: 19.5938px;">50</td> <td style="height: 19.5938px;">50k</td> <td style="height: 19.5938px;">324.11</td> <td style="height: 19.5938px;">324.11</td> </tr> <tr style="height: 78.375px;"> <td style="height: 78.375px;"><strong>DS5</strong></td> <td style="height: 78.375px;">Incremental</td> <td style="height: 78.375px;">1k</td> <td style="height: 78.375px;">2</td> <td style="height: 78.375px;">10</td> <td style="height: 78.375px;">every 100</td> <td style="height: 78.375px;">399.93</td> <td style="height: 78.375px;">[4.9, 6.1, 7.9,10.5, 14.8, 22.2, 37.0, 74.0, 222.1]</td> </tr> <tr style="height: 97.9688px;"> <td style="height: 97.9688px;"><strong>DS6</strong></td> <td style="height: 97.9688px;">Incremental</td> <td style="height: 97.9688px;">10k</td> <td style="height: 97.9688px;">10</td> <td style="height: 97.9688px;">20</td> <td style="height: 97.9688px;">every 1k</td> <td style="height: 97.9688px;">1205.10</td> <td style="height: 97.9688px;">[14.8, 18.5, 23.9, 31.8, 44.6, 66.9, 111.5, 223.1, 669.5]</td> </tr> <tr style="height: 97.9688px;"> <td style="height: 97.9688px;"><strong>DS7</strong></td> <td style="height: 97.9688px;">Incremental</td> <td style="height: 97.9688px;">20k</td> <td style="height: 97.9688px;">50</td> <td style="height: 97.9688px;">30</td> <td style="height: 97.9688px;">every 2k</td> <td style="height: 97.9688px;">1439.39</td> <td style="height: 97.9688px;">[17.7, 22.2, 28.5, 38.0, 53.3, 79.9, 133.2, 266.5, 799.6]</td> </tr> <tr style="height: 78.375px;"> <td style="height: 78.375px;"><strong>DS8</strong></td> <td style="height: 78.375px;">Incremental</td> <td style="height: 78.375px;">100k</td> <td style="height: 78.375px;">500</td> <td style="height: 78.375px;">50</td> <td style="height: 78.375px;">every 10k</td> <td style="height: 78.375px;">1671.75</td> <td style="height: 78.375px;">[20.6, 25.7, 33.1, 44.2, 61.9, 92.8, 154.7, 309.5]</td> </tr> <tr style="height: 78.375px;"> <td style="height: 78.375px;"><strong>DS9</strong></td> <td style="height: 78.375px;">Gradual</td> <td style="height: 78.375px;">1k</td> <td style="height: 78.375px;">2</td> <td style="height: 78.375px;">10</td> <td style="height: 78.375px;">[250-c1, 100-c2, 100-c1, 200-c2, 100-c1, 250-c2]</td> <td style="height: 78.375px;">601.92</td> <td style="height: 78.375px;">[377.4, 399.9, 829.2, 829.2, 624.36]</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>DS10</strong></td> <td style="height: 19.5938px;">Gradual</td> <td style="height: 19.5938px;">10k</td> <td style="height: 19.5938px;">10</td> <td style="height: 19.5938px;">20</td> <td style="height: 19.5938px;">[2.5k-c1, 1k-c2, 1k-c1, 2k-c2, 1k-c1, 2.5k-c2]</td> <td style="height: 19.5938px;">2049.14</td> <td style="height: 19.5938px;">[1158.3, 1205.1, 1885.4, 1885.4, 2167.7]</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>DS11</strong></td> <td style="height: 19.5938px;">Gradual</td> <td style="height: 19.5938px;">20k</td> <td style="height: 19.5938px;">50</td> <td style="height: 19.5938px;">30</td> <td style="height: 19.5938px;">[5k-c1, 2k-c2, 2k-c1, 4k-c2, 2k-c1, 5k-c2]</td> <td style="height: 19.5938px;">1756.43</td> <td style="height: 19.5938px;">[1469.9, 1439.3, 1875.3, 1875.3, 1843.6]</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>DS12</strong></td> <td style="height: 19.5938px;">Gradual</td> <td style="height: 19.5938px;">100k</td> <td style="height: 19.5938px;">500</td> <td style="height: 19.5938px;">50</td> <td style="height: 19.5938px;">[25k-c1, 10k-c2, 10k-c1, 20k-c2, 10k-c1, 25k-c2]</td> <td style="height: 19.5938px;">1364.12</td> <td style="height: 19.5938px;">[2126.2, 2032.1, 1238.2, 1238.2, 1322.0]</td> </tr> </tbody> </table> <p> </p>
Long-term SW simulations of Jupiter's GRS
<p>Data and input files for the SW2 software regarding the simulations presented in "The origin of Jupiter’s Great Red Spot".</p>
Figure 2 in From Tasmania to the world: long and strong traditions in seaweed use, research, and development
Figure 2: Examples of the diversity of seaweed species in Tasmania. (A) Hormosira banksii, (B) Asparagopsis armata, (C) Lessonia corrugata, (D) Durvillaea potatorum, (E) front: Caulerpa trifaria; back: Phyllotrichia verruculosa, (F) Macrocystis pyrifera, (G) Phyllospora comosa, (H) Delisea sp., (I) assemblage of red seaweeds including Ballia callitricha, Corallina officinalis, Delisea plumosa, Phymatolithon maisonianum, Pterocladiella capillacea, Spnderphycus coriaceus, (J) Durvillaea spp. and Xiphophora gladiata, (K) reef assemblage including: Ecklonia radiata, Caulerpa trifaria, Plocamium cirrhosum, (L) encrusting red algal assemblage, (M) Ecklonia radiata, (N) assemblage of crustose coralline algae, (O) Sargassum sp. Photo credits:(A, D, E, F) Joanna Smart,(B) Elysha Kennedy, (C) Michael Guiry (AlgaeBase), (G, K) Matthew Doggett, (N) Elisabeth (Beth) Strain, (I) Christopher Cornwall, (J) Scott Ling, (H and L) Cayne Layton, (M) Jo Lane, (O) Emilliano Cimoli.
Figure 1 in From Tasmania to the world: long and strong traditions in seaweed use, research, and development
Figure 1: Map of Tasmania with regional oceanographic currents, and locations referred to in the text and Table 1, including the East Australian Current (EAC) and Zeehan Current (ZC).
Figure 2 in No sex-related dispersal limitation in a dioecious, oceanic long-distance traveller: the bull kelp Durvillaea antarctica
Figure 2: Durvillaea antarctica: frequency of holdfasts with different numbers of stipes, and with only vegetative stipes, only male stipes, only female stipes, and both sexes within one holdfast. Samples collected at (A) 33 beaches on the coast of Chile between 28°S and 42°S (n=1044 stranded holdfasts during the winters 2013, 2014 and 2015), and (B) two sites near the northern distribution limit of D. antarctica (n =56 holdfasts from Puerto Oscuro and n=62 holdfasts from Totoralillo Sur).
Figure 5 in No sex-related dispersal limitation in a dioecious, oceanic long-distance traveller: the bull kelp Durvillaea antarctica
Figure 5: Durvillaea antarctica: average (mean±SD) concentration (% dry wt) of phlorotannins in blade samples of different sexual stage and locality, Puerto Oscuro and Totoralillo Sur. Different letters above the columns indicate differences between sexual stages significant at p =0.05. Numbers of stipes from each site and sexual stage are listed at the bottom of each column.
Figure 1 in No sex-related dispersal limitation in a dioecious, oceanic long-distance traveller: the bull kelp Durvillaea antarctica
Figure 1: Study area and spatial distribution of the stranded and benthic D. antarctica in central Chile. PTOS, Puerto Oscuro; TOT, Totoralillo Sur.
Figure 4 in No sex-related dispersal limitation in a dioecious, oceanic long-distance traveller: the bull kelp Durvillaea antarctica
Figure 4: Durvillaea antarctica: average (mean±SD) concentration (mg/g wet wt) of pigments in blade samples of different sexual stage and locality, Puerto Oscuro and Totoralillo Sur. Different letters above the columns indicate differences between sexual stages significant at p =0.05. Numbers of stipes from each site and sexual stage are listed at the bottom of each column.
Figure 3 in No sex-related dispersal limitation in a dioecious, oceanic long-distance traveller: the bull kelp Durvillaea antarctica
Figure 3: Durvillaea antarctica: average (mean±SD) colour values of algal samples of different sexual stages and from two localities, Puerto Oscuro and Totoralillo Sur. Different letters above the columns indicate differences between sexual stages significant at p=0.05. Numbers of stipes from each site and sexual stage are listed at the bottom of each column.
Replication package for: "The Short- and Long-Run Impacts of Free Education on Schooling: Direct Effects and Intra-household Spillovers"
<p>The replication package contains the following folders: (1) The "do" folder, which contains all ".do" and ".R" files used to reproduce all figures and tables in the paper and the appendix; (2) The "outputs" folder, which stores all figures and tables; and (3) The "add-ons" folder, which includes all necessary Stata or R add-on packages. Additionally, the replication package contains a README PDF file to illustrate the result replication procedure.</p>
Long Simulation of Global Sea Surface Temperature using Linear Inverse Model
<p>The content of this dataset includes (a) observed product, which is the averaged product of the Hadley Centre Sea Ice and Sea Surface Temperature (HadISST), the Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5), and the Centennial in situ Observation-Based Estimates (COBE). This is called "global_sst_1958to2017.mat", i.e., 60 yrs of monthly SST over 1958-2017; it also contains the trend, the seasonal climatology, the anomaly field after subtracting trend and seasonal climatology, longitude, latitude, time, and land-sea mask. (b) 20 realizations of long SST simulation generated by a Linear Inverse Model (LIM). Each realization contains 6000 months (or 500 yrs) of SST. The file is named "stochastic_simulation_lim_sst_mem*.mat". </p> <p>To cite dataset if plot or extracted used in any publication, use the reference below:</p> <p>Xu, T., et al. (2022). "An increase in marine heatwaves without significant changes in surface ocean temperature variability." <span>Nature Communications</span> <strong>13</strong>(1): 7396.</p>
Long-term electrocardiogram and wrist-based photoplethysmogram recordings with annotated atrial fibrillation episodes
<p><strong>Rationale</strong></p> <p>Atrial fibrillation (AF) has emerged as a worldwide cardiovascular epidemic affecting more than 33 million individuals worldwide and carrying a 5-fold increased risk of brain stroke and a 3-fold increased risk of heart failure (Hindricks et al. 2021). AF is a progressive disease, with primary paroxysmal episodes being self-terminating; therefore, the success of complication management highly depends on early arrhythmia detection, which often requires long-term AF monitoring (Keach et al. 2015). Unfortunately, existing devices for long-term AF monitoring are either expensive (implantable cardiac monitors) or inconvenient due to skin irritation (Holter monitors, electrocardiogram (ECG) patches). Thus, it is desirable to develop inexpensive technologies ensuring wearing comfort. Recently, biooptical photoplethysmography (PPG) signal has emerged as such technology with immense potential for convenient long-term AF monitoring (Pereira et al. 2020). However, due to the lack of guidelines for arrhythmia interpretation in PPG, simultaneous ECG recording is needed for verification of the episodes detected in PPG. The present dataset contains simultaneously acquired wrist-based PPG and reference ECG signals with annotated AF episodes, and thus, is particularly suitable for use in the development and testing of automatic PPG-based AF detectors.</p> <p><strong>Subjects and data acquisition protocol</strong></p> <p>The dataset contains long-term ECG and PPG signals from 45 patients with suspected AF monitored for 5 to 8 days (306 days in total). Detailed demographic (sex, age, height, weight) and clinical (diagnosed comorbidities, medications) characteristics of the patients are provided in the supplementary file <strong><em>subject_info.xlsx</em></strong>.</p> <p>The acquisition of the PPG and ECG signals was started at Vilnius University Hospital Santaros Klinikos (Vilnius, Lithuania) and continued for a week at the patient’s home. The PPG signal was acquired at a sampling frequency of 100 Hz using a green LED embedded in a wrist-worn device developed at the Biomedical Engineering Institute (Kaunas, Lithuania). The reference ECG signal was acquired at a sampling frequency of 500 Hz using the Bittium Faros™ 180 ECG device together with the Bittium OmegaSnap™ patch electrode (Oulu, Finland). Additionally, triaxial acceleration signals were acquired with both devices at sampling frequencies of 50 and 25 Hz using wrist-worn and reference ECG devices, respectively. The occurrence times of QRS-complexes in ECG signals were obtained using an open-source QRS detector (Moeyersons et al. 2020), and initial AF episodes were automatically detected using a low-complexity AF detector relying on rhythm irregularity information (Petrėnas et al. 2015). Then, the AF detector output was visually inspected and manually corrected by medical specialists experienced in arrhythmia diagnosis with the aim to find undetected and discard falsely detected episodes.</p> <p>The data acquisition protocol was in accordance with the ethical principles of the Declaration of Helsinki and was approved by Vilnius Region Biomedical Research Ethics Committee (No. 158200-18/7-1052-557). All patients gave written informed consent to participate.</p> <p><strong>Technical details</strong></p> <p>The acquired signals are provided in MAT-files named as follows:</p> <p><strong>XX_YYY</strong>,</p> <p>where <strong>XX</strong> is the patient ID, <strong>YYY</strong> is ECG for the signals from the Bittium Faros™ 180 ECG device and PPG for the signals from the wrist-worn device. For each patient, there are a single continuous ECG recording and multiple PPG recordings because the acquisition of the PPG could be interrupted for a short time due to technical reasons or for a longer time to allow battery charging of the wrist-worn device.</p> <p>In addition to PPG, ECG, and acceleration signals, each file contains a signal header, the day when the recording started with respect to the first monitoring day of the patient, and the time of day when the recording started. The ECG files also contain QRS time indices and calculated RR intervals together with AF annotations on a beat-to-beat basis. PPG and acceleration signals from a wrist-worn device were synchronized to correspond time of ECG acquisition device. </p> <p>In the <strong><em>subject_info.xlsx</em></strong> file, physical inactivity is defined as < 5000 steps/day or < 150 min/week of moderate-intensity exercise or < 75 min/week of high-intensity exercise, excessive physical activity is defined as > 750 min/week of moderate-intensity exercise, and hypertension is classified into stages based on systolic/diastolic blood pressure: stage I corresponding to 140/90–159/99 mmHg, stage II to 160/100–179/109 mmHg, and stage III to ≥ 180/100 mmHg.</p> <p><strong>Limitations</strong></p> <p>When using the resource, researchers should be aware that the PPG and ECG acquisition devices have been synchronized, however, the exact alignment of the signals cannot be reached due to physiological features, e.g., the heart rate obtained from the PPG and ECG signals. Users should also be aware that the sampling frequencies of the devices can vary slightly.</p>
Experimental data from long-term elevated pCO2 exposure in Pacific herring. Datasets include measurements of enviromental treatment conditions, growth and developmental traits, and mortality data from a disease challenge.
<p>This study evaluated the effects of ocean acidification on the health, survival, fitness, and disease susceptibility of early life stage Pacific herring. Wild larvae were reared from hatching under three pCO2 treatments [low (~650 μatm), intermediate (~1,500 μatm), and high (~3,000 μatm)] to determine the effects of elevated pCO2 on larval growth, yolk consumption, and foraging capabilities and to evaluate how chronic exposure to elevated pCO2 affects long-term growth and maximum swimming speed. After prolonged exposure (98 d), we tested how elevated pCO2 experienced during development altered the susceptibility of juvenile Pacific herring to VHS following water-borne exposure to VHSV. This directory includes datasets for: 1) daily pH and temperature measurements from replicate rearing tanks; 2) carbon chemistry measurements from discrete seawater samples; 3) morphometric and feeding data for larval herring (1 - 16 days post hatch); 4) standard length measurements from larval and juvenile samples (1 - 98 days post hatch); 5) All dry mass measurements from larval and juvenile samples (1 - 98 days post hatch); 6) survival statistics for whole experiment ( 1- 98 days post hatch); 7) maximum swim speed measurements on juvenile herring; 8) disease challenge mortality and viral titer data; 8) a README file containing information on the dataset. </p>
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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.