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Evidence Accumulation in Value-Based decisions
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Dataset. Responses to digital disinformation as part of hybrid threats: an evidence-based analysis on the effects of disinformation and the effectiveness of fact-checking/debunking
<p>Dataset from the meta-analysis carried out in the article Responses to digital disinformation as part of hybrid threats: a systematic review on the effects of disinformation and the effectiveness of fact-checking / debunking using the EU-HYBNET Meta-Analysis Survey Instrument for Evaluating the Effects of Disinformation and the Effectiveness of counter-responses</p>
Periodic Hydraulic Testing Dataset for "Borehole-based fracture unclogging experiment: bridging the gap between laboratory- and field-scale evidence (FRANC)"
<p>This dataset is associated with the SNSF-SPARK project “Borehole-based fracture unclogging experiment: bridging the gap between laboratory- and field-scale evidence (FRANC)”. Please read the ReadMe file for more information.</p>
CT-EBM-SP - Corpus of Clinical Trials for Evidence-Based-Medicine in Spanish (version 2)
<p>A collection of <strong>1200 texts</strong> (292173 tokens) about<strong> clinical trials studies</strong> and <strong>clinical trials announcements</strong> in <strong>Spanish</strong>:</p> <p>- 500 abstracts from journals published under a Creative Commons license, e.g. available in PubMed or the Scientific Electronic Library Online (SciELO).<br>- 700 clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos.</p> <p>Texts were annotated with the following entities types:</p> <p>- <strong>Semantic groups from the Unified Medical Language System</strong>: <br> • ANAT: anatomy<br> • CHEM: pharmacological and chemical substances<br> • DEVI: medical devices<br> • DISO: pathologic conditions <br> • LIVB: living beings, included the human being<br> • PHYS: physiological processes<br> • PROC: lab tests, diagnostic or therapeutic procedures<br>- <strong>Medical drug information</strong>:<br> • Contraindicated: a contraindicated drug or treatment<br> • Dose: dose or strength<br> • Form: dosage form<br> • Route: administration route or mode<br>- <strong>Temporal expressions</strong> <br> • Age<br> • Date<br> • Duration<br> • Frequency<br> • Time<br>- <strong>Miscellaneous medical entities</strong>: <br> • Concept: abstract concepts, statistical tests or measurement scales<br> • Food: foods or drinks<br> • Observation: medical observations or clinical findings<br> • Quantifier_or_Qualifier: quantifier or qualifier adjective<br> • Result_or_Value: result or value of a measurement, laboratory analysis or procedure<br>- <strong>Negation/Speculation</strong>: <br> • Neg_cue: negation cue<br> • Negated: negated event<br> • Spec_cue: speculation cue<br> • Speculated: speculated or uncertain event<br>- <strong>Attributes</strong>: <br> • Temporality:<br> ◦ History_of: past event<br> ◦ Future: future event<br> • Experiencer:<br> ◦ Patient: patient or participant on a clinical trial<br> ◦ Family_member<br> ◦ Other: other person different from the patient or the family member</p> <p>86 389 entities and 16 590 attributes were annotated. 10% of the corpus was doubly annotated, and high inter-annotator agreement (IAA) values were achieved: F1-score = 0.84% for entities; and F1-score = 0.88% for attributes (both in strict match). </p> <p>The dataset includes the <strong>texts and annotations used for the human evaluation</strong> of the medical named entity tool:</p> <p>- 100 clinical trial announcements from EudraCT not used for system development: we provide files of the version revised by medical professionals (Reference folder)<br>- 100 clinical cases with Creative Commons license: we provide files with the files revised by medical professionals (Reference folder). These data come from:</p> <p> • Urgencias Bidasoa (https://urgenciasbidasoa.wordpress.com/casos-clinicos-3/)<br> • Hipocampo.org (https://www.hipocampo.org/)<br> • Cases published by Sociedad Andaluza de Medicina Familiar y Comunitaria (SAMFyC): we are greatly thankful for giving us permission to use these cases and we acknowledge that the copyright belongs to the authors' contents. Clinical cases were extracted from books published from 2016 to 2022 (https://www.samfyc.es/tipos-publicacion/publicaciones/).<br> <br>If you use these data, please, acknowledge the copyright and intellectual property rights to the authors' contents.</p> <p>The dataset is freely distributed for research and educational purposes under a Creative Commons Non-Commercial Attribution (CC-BY-NC-A) License.</p> <p>If you use the CT-EBM-SP vs. 2 dataset, please, cite as follows:</p> <p>Campillos-Llanos, L., A. Valverde-Mateos & A. Capllonch-Carrion (2024) Hybrid natural language processing tool for semantic annotation of medical texts in Spanish. BMC Bioinformatics. BioMed Central.</p>
Rapid Review Dataset for Seeking Enlightenment: Incorporating Evidence-Based Practice Techniques in a Research Software Engineering Team
<p>A collection of evidence briefings produced through a rapid literature review protocol the Department of Software Engineering and Research at Sandia National Laboratories. These briefings are described in our research paper, "Seeking Enlightenment: Incorporating Evidence-Based Practice Techniques in a Research Software Engineering Team", which was accepted for publication at the 1st Annual Conference of the United States Research Software Engineer Association (US-RSE'23).</p> <p>Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. SAND2023-06549O.</p>
Data presented in figure 2 of "Evidence of nitrate based nighttime atmospheric nucleation driven by marine microorganisms in the South Pacific"
<p>Data collected at the Maïdo observatory between April 24th and April 29th 2018 used in the calculation of statistics presented in Figure 2 of "Evidence of nitrate based nighttime atmospheric nucleation driven by marine microorganisms in the South Pacific". Data were obtained by an API-ToF-MS; molecular clusters are grouped by family as described in Chamba et al. 2023. Data were first filtered based on SO2 mixing ratios to exclude the periods when the station was under the influence of the volcanic plume of the Piton de la Fournaise. Hourly averages of the signals of interest were then calculated and only the data corresponding to the periods during which the station was in the free troposphere were considered.</p>
High MHC gene copy number maintains diversity despite homozygosity in a Critically Endangered single-island endemic bird, but no evidence of MHC-based mate choice
<p>Raw sequence data from two amplicon libraries of MHC class I exon 3 of Raso Lark <em>Alauda razae</em>, sequenced on an Illumina Miseq. The two different libraries (two different Illumina runs) are collected in separat tar archive (.tar). Within each of those are individual sequence reads as gzipped fastq files (.fastq.gz). Each sample has two files, one for read 1 (R1) and one for read 2 (R2), with file names structured as follows. Delimited by underscore (_) are:</p> <ol> <li>sample name as referred to in the data and paper (“RingNo” in the Supporting data table);</li> <li>formal ID (also referred to in data table, often corresponding to full ring number);</li> <li>Illumina sample number (i.e. based on the order that samples are listed in the sample sheet);</li> <li>Illumina lane number (static as L001, as Miseq instruments have a single lane on their flow cells);</li> <li>read number (R1 [forward] or R2 [reverse]);</li> <li>static identifier from Illumina (001).</li> </ol> <p>Thus, the file 83304_TJ83304_S163_L001_R2_001.fastq.gz is the reverse (read 2) MHC class I exon 3 sequence of individual 83304 (ring number TJ83304).</p>
FIGURE 6 in CLADISTIC ANALYSIS OF THE ARGENTINIAN SPECIES OF THE GENUS BOSTRYX (GASTROPODA, STYLOMMATOPHORA) BASED ON MORPHOLOGICAL EVIDENCE
FIGURE 6: (A) Character 58. Penis sheath and retractor penis muscle (arrow). (B) Characters 59, 60. Inner wall sculpture in distal portion of the penis. (C) Character 61. Inner wall sculpture in proximal portion of the penis. (D) Characters 62-64. Inner wall sculpture in proximal portion of the penis. (E) Character 68. Inner wall sculpture in duct of bursa copulatrix. (F) Character 69. Inner wall sculpture in epiphallus. (G) Characters 71-73. Shape of bursa copulatrix duct in proximal, middle and distal portion. (H) Characters 70, 75-77. Shape of penis, position of penis retractor muscle and thickness and position of vas deferens. Abbreviations: I: number of area; II: number of area; bc: bursa copulatrix; bd: bursa copulatrix duct; dp: distal portion; mp: middle portion; p: penis; pp: proximal portion; ps: penis sheath; prm: penis retractor muscle; s: smooth inner wall; sf: straight folds; vd: vas deferent; zzf: zigzag folds.
FIGURE 5 in CLADISTIC ANALYSIS OF THE ARGENTINIAN SPECIES OF THE GENUS BOSTRYX (GASTROPODA, STYLOMMATOPHORA) BASED ON MORPHOLOGICAL EVIDENCE
FIGURE 5: Reproductive system dissected out. (A) Character 48. Length of bursa copulatrix duct in relation to spermoviduct length. (B) Characters 49, 54. Length of flagellum in relation to epiphallus length and external transition from epiphallus to penis. (C) Characters 50, 51. Inner wall sculpture of flagellum. (D) Character 52. Length of epiphallus in relation to penis length. (E) Character 53. Shape of epiphallus. (F) Characters 55, 56, 67. Phallic complex showing the thinning in the middle portion of penis and a vas deferens in relation to penis sheath. (G) Character 57. Length of penis sheath in relation to penis length. Abbreviations: bc: bursa copulatrix; bd: bursa copulatrix duct; dp: distal portion; ep: epiphallus; f: flagellum; p: penis; pp: proximal portion; ps: penis sheath; s: spermoviduct; t: thinner middle section.
FIGURE 4 in CLADISTIC ANALYSIS OF THE ARGENTINIAN SPECIES OF THE GENUS BOSTRYX (GASTROPODA, STYLOMMATOPHORA) BASED ON MORPHOLOGICAL EVIDENCE
FIGURE 4: Pallial system dissected out. (A) Character 38. Length of kidney in relation to total pulmonary roof length. (B) Characters 39, 40, 42. Degree of occlusion of secondary ureter. (C) Characters 40. Position of secondary ureter opening. Reproductive system dissected out. (D) Characters 43, 45, 46. Vagina inner wall sculpture. (E) Characters 47, 74. Shape and length of vagina in relation to penis length. Abbreviations: ap.su: aperture of secondary ureter; ia: interramus area; k: kidney; p: penis; pr: pulmonary roof; su: secondary ureter; v: vagina.
FIGURE 3 in CLADISTIC ANALYSIS OF THE ARGENTINIAN SPECIES OF THE GENUS BOSTRYX (GASTROPODA, STYLOMMATOPHORA) BASED ON MORPHOLOGICAL EVIDENCE
FIGURE 3: (A) Character 25. Lateral view of Bostryx martinezi (Hylton Scott, 1965) (0) and Bostryx willinki Weyrauch, 1964 (1). (B) Character 26. Lateral view of Bostryx pastorei (Holmberg, 1912) (0) and Bostryx peristomatus (Doering, 1879) (1). (C) Character 27. Ventral view of Bostryx roselleus Miranda & Cuezzo, 2014 (0) and Bostryx scaber (Parodiz, 1948) (1). (D) Characters 30-34. Microsculpture of protoconch of B. peristomatus (0) and B. scaber (1). (E) Character 35. Ventral view of the shell showing aperture in Bostryx torallyi (d'Orbigny, 1835) (0) and a presence of apertural teeth (arrow) in Plagiodontes daedaleus (Parodiz, 1946) (1). (F) Character 36. Lateral view of Bostryx mendozanus (Strobel, 1874) (0) and Bostryx solutus Troschel, 1847 (1), showing the presence of carina (arrow). (G) Character 37. Carina around of umbilicus in B. peristomatus (0) and around of whorl in Bostryx cuyanus (Pfeiffer, 1867) (1) (arrows). Abbreviations: as: axial sculpture; ss: spiral sculpture.
FIGURE 8 in CLADISTIC ANALYSIS OF THE ARGENTINIAN SPECIES OF THE GENUS BOSTRYX (GASTROPODA, STYLOMMATOPHORA) BASED ON MORPHOLOGICAL EVIDENCE
FIGURE 8: Optimal tree obtained from the matrix under implied weighting. Numbers within empty squares are node numbers. Symmetric Resampling support (left), Absolute (middle) and Relative (right) Bremer support scores are the numbers in below nodes. Black squares are synapomorphies.
FIGURE 7 in CLADISTIC ANALYSIS OF THE ARGENTINIAN SPECIES OF THE GENUS BOSTRYX (GASTROPODA, STYLOMMATOPHORA) BASED ON MORPHOLOGICAL EVIDENCE
FIGURE 7: Cladogram showing relationships of the Bostryx with Odontostomidae and remaining Bulimulidae. Numbers within empty squares are node numbers. Symmetric Resampling support (left), Absolute (middle) and Relative (right) Bremer support scores are the numbers in below nodes. Black squares are synapomorphies.
FIGURE 1 in CLADISTIC ANALYSIS OF THE ARGENTINIAN SPECIES OF THE GENUS BOSTRYX (GASTROPODA, STYLOMMATOPHORA) BASED ON MORPHOLOGICAL EVIDENCE
FIGURE 1: Continuous characters: Shell measurements. Abbreviations: ad: apertural diameter; ah: apertural height; ap: apertural perimeter; asa: apertural surface area; bwh: body whorl height; bwp: body whorl perimeter; bwsa: body whorl surface area; mad: major diameter; mid: minor diameter; ps: parietal space length; pwd: penultimate whorl diameter; pwh: penultimate whorl height; sh: spire height; sp: spire perimeter; ssa: spire surface area; th: total height; tp: total perimeter; tsa: total surface area.
Mapping the DeFi Crime Landscape: An Evidence-based Picture
<p><br><strong>README - Crime Events Dataset</strong></p> <p>This document provides a detailed overview of the structure of the dataset for the paper: "Mapping the DeFi crime landscape: An Evidence-based Picture", published in the Journal of Cybersecurity, and available here: https://academic.oup.com/cybersecurity/article/11/1/tyae029/7962044</p> <p>The following fields are included, each representing different aspects of the events collected.</p> <p><strong>Data Fields</strong></p> <p><strong>1. unique_key</strong><br> <em>Description: </em>A unique number assigned to identify each event in the dataset.</p> <p><strong>2. Agregators </strong><br> <em>Description: </em>The sources where the event is listed. Aggregators include:<br> - De.Fi REKT<br> - SlowMist<br> - CryptoSec (rebranded to ChainSec as of February 2023)</p> <p><strong>3. DeFi actor involved </strong><br> <em>Description: </em>The name of the DeFi actor involved in the event (target, perpetrator, or intermediary).<br> Sources: <br> - On De.Fi REKT: Found as the "Title" of the event’s listing.<br> - On SlowMist: Found under the “Hacked target” title.<br> - On CryptoSec: Found in the "Title" of the event’s listing with the date.</p> <p><strong>4. REKT URL </strong><br> <em> Description: </em>The URL to the event's listing on De.Fi REKT.<br> <em>Process: </em>Found by searching for the DeFi actor involved in the REKT Database: https://de.fi/rekt-database</p> <p><strong>5. SlowMist URL </strong><br> <em>Description: </em>The URL to the event's listing on SlowMist.<br> <em>Process: </em>Available via https://hacked.slowmist.io/search/. Note that searching the actor's name will lead to the event but without an individualized URL.</p> <p><strong>6. CryptoSec URL </strong><br> <em>Description: </em>The URL to the event's listing on CryptoSec.<br> <em>Process: </em>Found at https://chainsec.io/defi-hacks/. Events are listed on a single page; use traditional keyboard search to locate specific events.</p> <p><strong>7. Aggregator Summary </strong><br> <em> Description</em>: A summary of the event provided by the aggregator.<br> <em>Sources: </em><br> - On De.Fi REKT: Found under "Quick Summary" and "Details of the Exploit".<br> - On SlowMist: Under "Description of the event".<br> - On CryptoSec: Below the title in quotation marks.</p> <p><strong>8. Aggregator sources URL </strong><br> <em>Description: </em>The URLs of references linked by the aggregator in the event’s listing.<br> <em>Sources:</em><br> - On De.Fi REKT: Found at the bottom by clicking "Source" or "Archived link".<br> - On SlowMist: Found by clicking "View Reference Sources".<br> - On CryptoSec: Available by clicking the source’s name at the end of the summary.</p> <p><strong>9. Event date </strong><br> <em>Description: </em>The date the event occurred.<br> <em>Sources:</em><br> - On De.Fi REKT: Listed under the "Date" field.<br> - On SlowMist: At the top right of the listing.<br> - On CryptoSec: Listed in parentheses behind the actor’s name.</p> <p><strong>10. Event year </strong><br> <em> Description: </em>The year the event occurred, extracted from the Event date.</p> <p><strong>11. Stolen amount USD </strong><br> <em>Description:</em> The total amount stolen, converted to USD.<br> <em>Sources:</em><br> - On De.Fi REKT: Found under "Funds lost".<br> - On SlowMist: Under the title “Amount of loss”.<br> - On CryptoSec: Behind the title "Amount stolen".<br> <em>Note: </em>If needed, conversions were manually performed using CoinMarketCap’s historical data as explained in the paper. </p> <p><strong>12. Implication of actor </strong><br> <em>Description: </em>Indicates whether the DeFi actor was a target, perpetrator, or intermediary in the event. Manually coded after reviewing the aggregator’s summary and linked sources.</p> <p><strong>13. Strategy </strong><br> <em>Description: </em>The main approach used to steal funds. Six categories are possible: Technical vulnerability, Human risks, Undetermined, Malicious use of contract, Misappropriation of funds, and Imitation. This was manually coded from the event summary and sources.</p> <p><strong>14. General tactic </strong><br> <em> Description: </em>The common techniques or methods used by malicious actors. Eleven categories are possible, defined in the appendix. Manually coded after reviewing the summary and linked sources.</p> <p><strong>15. Specific tactic </strong><br> <em> Description:</em> The precise technique used to commit the crime. Thirty-seven categories are possible, defined in the appendix. This was manually coded based on the event summary and sources.</p> <p><strong>16. Paper category </strong><br> <em>Description: </em>The main area of operation of the involved DeFi actor. Twelve categories are possible: Blockchain, Bridge, DApp, Derivatives, Exchange, Fungible Token (FT), Non-Fungible Token (NFT), Oracle, Yield, Staking, and Others. This was determined by the event summary and research on the actor.</p> <p><strong>17. Stack category </strong><br> <em>Description: </em>The technical layer of the DeFi Stack Reference (DSR) model corresponding to the paper category. Five categories are possible: DeFi Compositions (CP), DeFi Protocols (P), Cryptoassets (CA), Distributed Ledger Technology (DLT), and Interfaces (INT).</p> <p>---</p> <p>For more detailed information on the tactics, strategies, or categories used, please refer to the appendix of the dataset or the associated documentation.</p> <p>The previous version included duplicates. They have been removed in the second version.</p>
Data from: Molecular Dating of Phylogeny of Sturgeons (Acipenseridae) Based on Total Evidence Analysis
<p>Bayesian chronograms (original and updated 08.10.2022) of cladogenesis of fossil and recent Acipenseriformes reconstructed on the basis of combined (mtDNA, morphological characters) data.</p>
Figure 1 in Hydrodroma angelieri (Acari, Hydrachnidia: Hydrodromidae) a new water mite species from Corsica based on morphological and DNA barcode evidence
Figure 1 Hydrodroma angelieri sp. nov., holotype ♀, Tributary of Ruisseau de Canne, France: A – integument papillae; B – coxal field; C – genital field; D – palp, lateral view; E – palp, medial view; F – gnathosoma; G – chelicera. Scale bars = 100 μm.
Text-fig. 4. Juglandaceae Carya (a–w). Scale bars = 1 cm. a–d: USNM PAL 772352, reflected light, palladium coated. a: Obliquelateral view of nut, apex up. b: Basal view with damage to left and clear depiction of meridional grooves. c, d: Two lateral views oriented about 130° from each other and avoiding the area of damage; the meridional grooves clear in (c). e–l: USNM PAL 772350. e: Intact nut, lateral view, apex up, reflected light. f: One half of split nut revealing in situ chalcedony locule cast, reflected light. g–k: Virtual sections from micro-CT data. g: Longitudinal section parallel to the exposed face in (f). h: Longitudinal section at 90° from (g). i: Transverse section in apical 1/3 showing locule bracketed by C-shaped lacunae (arrows). j: Equatorial transverse section showing two lobes of the locule separated by primary septum, lacuna evident below as white line. k: Transverse section near base in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 4. Juglandaceae Carya (a–w). Scale bars = 1 cm. a–d: USNM PAL 772352, reflected light, palladium coated. a: Obliquelateral view of nut, apex up. b: Basal view with damage to left and clear depiction of meridional grooves. c, d: Two lateral views oriented about 130° from each other and avoiding the area of damage; the meridional grooves clear in (c). e–l: USNM PAL 772350. e: Intact nut, lateral view, apex up, reflected light. f: One half of split nut revealing in situ chalcedony locule cast, reflected light. g–k: Virtual sections from micro-CT data. g: Longitudinal section parallel to the exposed face in (f). h: Longitudinal section at 90° from (g). i: Transverse section in apical 1/3 showing locule bracketed by C-shaped lacunae (arrows). j: Equatorial transverse section showing two lobes of the locule separated by primary septum, lacuna evident below as white line. k: Transverse section near base
FIGURE 3 in Description of a new species of glass knifefish genus Eigenmannia (Gymnotiformes: Sternopygidae) from the upper rio Paraná basin, based on anatomical, karyotypic, and molecular evidences
FIGURE 3 | Maxilla, suspensorium and opercular series of Eigenmannia catira, paratype, MZUSP 121047, inverted image, left side, medial view, anterior on left.
FIGURE 7 in Description of a new species of glass knifefish genus Eigenmannia (Gymnotiformes: Sternopygidae) from the upper rio Paraná basin, based on anatomical, karyotypic, and molecular evidences
FIGURE 7 | Branchial arches of Eigenmannia catira, paratype, MZUSP 121047. A. Dorsal view, anterior on top; B. Ventral view anterior on top.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.