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Responsibilities of the Digital Humanities
<p>The Digital Humanities have the means to question established knowledge, to position knowledge in a new way, and to create new knowledge. What are the responsibilities of the Digital Humanities when it comes to history, politics or political parties, canons, disciplines, social groups, communities, ethics, society? How can we arrive at a more inclusive, sensitive, in the end more human, conceptualisation of the world and the beings who inhabit it, than has been the case in the past?</p> <p>For examples of critical fields see <a href="http://esu.culintec.de/?q=node/1210">http://esu.culintec.de/?q=node/1210</a></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>
Overview of life and death of digital scholarly editions
<p>The dataset is based on the online catalogue for Digital Scholarly Editions (<a href="http://www.digitale-edition.de/">http://www.digitale-edition.de/</a>) on 7/8/2019. Based on the links provided in the catalogue, we queried the Wayback Machine (https://archive.org/web/) for first seen and last seen version of the website and added this information to the dataset. </p>
Figure 4 in Using digital images in the study of fluctuating asymmetry in the spur-thighed tortoise Testudo graeca
Figure 4. The distribution of the differences between the average values for area (A), height (B), and width (C) for the left (LSP) and right (RSP) sides of the plastron relative to straight carapace length (SCL) and the corresponding average value in each SCL class (females n = 79, male n = 76).
Figure 5 in Using digital images in the study of fluctuating asymmetry in the spur-thighed tortoise Testudo graeca
Figure 5. The distribution of the differences between the average values for area (A), height (B), and width (C) for the left (LSP) and right (RSP) sides of the plastron relative to straight carapace length (SCL) and the corresponding average value in each CCL class (females n = 79, male n = 76).
Text-fig. 4. Hindlimb bones of Panthera fossilis (REICHENAU, 1906) from Za Hájovnou Cave (Moravia, the Czech Republic), Middle Pleistocene. a – left patella (Narozeninová chodba, layer 5,> MIS 9), anterior view; b – fragment of left fibula (Narozeninová chodba, layer 5,> MIS 9), anterior view; c – right calcaneus (Narozeninová chodba, layer 5,> MIS 9), dorsal view; d – right astragalus (Chodba naděje, layer 4, ≤ MIS 9), distal end view; e – left Mt IV (Narozeninová chodba, layer 5,> MIS 9), medial view; f – proximal phalanx of the first digit (Narozeninová chodba, layer 5,> MIS 9), dorsal view; g – proximal phalanx with gnaw marks (Narozeninová chodba, layer 5,> MIS 9), plantar view. in Panthera Fossilis (Reichenau, 1906) (Felidae, Carnivora) From Za Hájovnou Cave (Moravia, The Czech Republic): A Fossil Record From 1987-2007
Text-fig. 4. Hindlimb bones of Panthera fossilis (REICHENAU, 1906) from Za Hájovnou Cave (Moravia, the Czech Republic), Middle Pleistocene. a – left patella (Narozeninová chodba, layer 5,> MIS 9), anterior view; b – fragment of left fibula (Narozeninová chodba, layer 5,> MIS 9), anterior view; c – right calcaneus (Narozeninová chodba, layer 5,> MIS 9), dorsal view; d – right astragalus (Chodba naděje, layer 4, ≤ MIS 9), distal end view; e – left Mt IV (Narozeninová chodba, layer 5,> MIS 9), medial view; f – proximal phalanx of the first digit (Narozeninová chodba, layer 5,> MIS 9), dorsal view; g – proximal phalanx with gnaw marks (Narozeninová chodba, layer 5,> MIS 9), plantar view.
Figure 7. Digitized X in A study on European anchovy (Engraulis encrasicolus) swimbladder with some considerations on conventionally used target strength
Figure 7. Digitized X-ray image showing individuals having suitable or damaged/deflated swimbladder for image analyses.
Geologic Map of Tyre Impact Crater on the Galilean Moon Europa - Digitized and Modified Versions (2024)
<p><strong>Geologic Map of Tyre Impact Crater on the Galilean Moon Europa - Digitized and Modified Versions (2024)</strong></p> <p>Files and deliverable documentation of the process of digitizing the geologic map of Tyre, Kadel et al. 2000. This may be useful if you are looking to learn how to digitize a geologic map using some form of mapping software, or to learn about the surface geology of Jupiter's icy moon Europa. </p> <p>Includes:</p> <ul> <li>read.me with supporting information</li> <li>map package</li> <li>Georeferenced PDF figures </li> <li>Shapefiles </li> </ul>
Figura 2 in Uso del lenguaje de programación Java para el conteo digital-automatizado a partir de imágenes de huevos de Aedes aegypti (Linnaeus, 1762) (Diptera: Culicidae)
Figura 2. Conteo automático de huevos de Aedes aegypti mediante una rutina en lenguaje de programación de Java, aprovechando el alto contraste entre el color de los huevos (negro) y el color de la papeleta (blanco). / Figure 2. A Java programming language routine is used to automatically count Aedes aegypti eggs, taking advantage of the high contrast between the color of the eggs (black) and the color of the strip (white).
Figura 3 in Uso del lenguaje de programación Java para el conteo digital-automatizado a partir de imágenes de huevos de Aedes aegypti (Linnaeus, 1762) (Diptera: Culicidae)
Figura 3. Diagrama de cajas de la comparación de la abundancia de huevos de Aedes aegypti contabilizados por colaboradores y mediante JAVA-CERECOVE en las diferentes categorÍas. A. Papeletas con pocos huevos (poco abundante), P= 0,903. B. Papeletas con abundantes huevos (abundante), P= 0,278. C. Papeletas con muy abundantes huevos (muy abundante), P= 0,01491. / Figure 3. A box plot of the abundance of Aedes aegypti eggs counted in different categories by collaborators and JAVA-CERECOVE. A. Pellon strips with few eggs, P = 0.903. B. Strip with abundant eggs, P = 0.278. C. Strip with very abundant eggs, P = 0.01491.
Figura 1 in Uso del lenguaje de programación Java para el conteo digital-automatizado a partir de imágenes de huevos de Aedes aegypti (Linnaeus, 1762) (Diptera: Culicidae)
Figura 1. Papeletas con huevos de Aedes aegypti recolectados a través de ovitrampas y clasificadas en categorÍas. A. Papeleta con pocos huevos (poco abundante). B. Papeleta con abundantes huevos (abundante). C. Papeleta con huevos muy abundantes (muy abundante). / Figure 1. Pellon strips with Aedes aegypti eggs collected through ovitraps are classified into three categories. A. Strip with few eggs (not abundant). B. Strip with abundant eggs (abundant). C. Strip with very abundant eggs (very abundant).
Digitalización de Mapa de Departamento de Lavalle Provincia de Mendoza año 1918. Digitalization of the Map of the Department of Lavalle, Province of Mendoza, 1918.
<h1><strong>Mapa de Departamento de Lavalle Provincia de Mendoza, año 1918. </strong></h1> <table> <tbody> <tr> <td><strong>Autor</strong></td> <td>Dirección General de Obras Públicas de Mendoza. Escala: 1:100.000. Copia del Original. Confeccionado con las mensuras administrativas judiciales existentes en el archivo de la dirección General de Obras Públicas.</td> </tr> <tr> <td><strong>Origen</strong></td> <td>Biblioteca personal Daniel Cobos, IANIGLA</td> </tr> <tr> <td><strong>Digitalización</strong></td> <td>Cámara Nikon D3200 18-55mm. + Escáner cenital (ver método).</td> </tr> <tr> <td><strong>Operador<br></strong></td> <td>Martín Federico Ortiz - Becario Doctoral del (INCIHUSA - Conicet).</td> </tr> <tr> <td><strong>Método</strong></td> <td>Se dividió el mapa en cuadrantes y se realizaron cuatro fotografías con cámara réflex montada en escáner cenital<strong> </strong>que luego se unieron con ayuda de Adobe Lightroom y Adobe Photoshop. Se realizó retoques de enfoque, contraste y balance de blancos, ya que el estado de la tinta, color y escritos del mapa físico no se encuentran en buenas condiciones.</td> </tr> </tbody> </table> <p>El mapa llegó al Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA) del Consejo Nacional de Investigaciones Científicas y Técnicas (Conicet) en sus primeros años quizás por el profesor Daniel Cobos. Cuando Daniel se jubiló, los mapas y cartas de aeronavegación fueron desechados. El Lic. Alberto Ripalta recupera este "fondo patrimonial" y lo archiva. Luego, el Doctor Facundo Rojas <strong>(1)</strong>,<strong> </strong>investigador del IANIGLA, al tomar conocimiento de lo anterior establece contacto con Alberto con el interés de digitalizar este mapa. Así, mediante el escáner cenital open source de uso para múltiples dispositivos (cámara réflex, compacta, smartphone) desarrollado en el marco del proyecto SIIP Tipo 4<em> “Las memorias del agua cuentan. Prácticas de </em><em>archivo, investigación y transición digital del Archivo Histórico del Agua de la Provincia de </em><em>Mendoza</em> dirigido por Doctor Facundo Martín del Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA-Conicet). </p> <p> </p> <p><strong>(1)</strong> Director del proyecto "Humanidades digitales en la Geografía e Historia ambiental cuyana. Primera parte: Antecedentes, archivos y patrimonio." (SIIP-UNCUYO 2021).</p>
Fig. 8 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 8. Digital skeleton mount of prosauropod Plateosaurus engelhardti Meyer, 1837 GPIT1, from Trossingen, Germany, posed to conform to drawings by Paul (1987, 2000; Fig. 2A). A. Left antepodium and manus in lateral and dorsal view. B. Right antepodium and manus in medial and dorsal view. C. Right crus and pes in medial view. Note intersection of tarsals and metatarsals with crus. D. Pelvis and femora in lateral view. E. Anteroventral view, parallel with the long axis of the dorsal column, of the pelvis and femora and the last five dorsal ribs. F. Lateral view of "gallop" position. Note gaps in knees and neck. Length of ulna 239 mm, length of fibula 463 mm, length of femur 595 mm.
Fig. 7 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 7. Digital skeleton mount of prosauropod Plateosaurus engelhardti Meyer, 1837 GPIT1, from Trossingen, Germany, posed: head at ground level (A), hands at ground level (B), resting pose in lateral (C) and dorsal (D) views. Length of femur 595 mm.
Fig. 4 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 4. Range of motion of prosauropod Plateosaurus engelhardti Meyer, 1837 using the digital skeleton mount of GPIT, from Trossingen, Germany. A. Lateral view of cervicals in neutral articulation, maximal dorsiflexion and maximal ventriflexion. B. Dorsal view of cervicals in neutral articulation and maximal lateral flexion. C–F. Dorsal vertebral column and ribcage in dorsal view in maximal lateral flexion (C), lateral view in maximal ventriflexion (D), lateral view in maximal dorsiflexion (E); air exchange volume determination (F). Pink ribs and dark green volume = exhaled volume, red ribs and translucent green volume = inhaled volume. See text for further explanation. G. Tail in lateral view, showing (top to bottom) dorsiflexion at 10° and at 5° per joint, neutral articulation, maximum ventriflexion. H. Tail in dorsal view, straight and at 10° lateral flexion. Length of cervical series 103 cm, length of dorsal series 137 cm, length of caudal series 261 cm. Anterior to the left in A–C and F–H, to the right in D and E.
Fig. 3 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 3. Examples for the influence of soft tissues on joint motions. A. Outline drawing of caudals 5 and 6 of salt−water crocodile Crocodylus porosus, IPFUB OS 13 in dorsal view. Anterior is up. Caudal 6 is shown in positions with full, 50% and minimal zyapophysal overlap (0°, 10°, 21°, respectively). Width of caudal 5 across transverse processes is 113 mm. B–D. Ulnae of stegosaur Kentrosaurus aethiopicus Hennig, 1915 from the Upper Jurassic Tendaguru Formation of Tanzania, in anterior (B1–D1) and lateral (B2–D2) views. Right (B, field number St [unknown]) and left (C, field number St 113) ulnae, both part of GPIT 1424 (mounted skeleton). D. Left ulna (part of skeletal mount in MFN) MB.R.4800.33 (length 306 mm) shows cartilage preservation on the distal and especially proximal end, preserving a large olceranon process.
Fig. 6 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 6. Range of motion of the hind limb of prosauropod Plateosaurus engelhardti Meyer, 1837 using the digital skeleton mount of GPIT1, from Trossingen, Germany. A–H. Left pes in left to right: flexion, probable standing pose, extension, in lateral (A), medial (B), oblique (C–F), plantar (G), and dorsal (H) views. Length of metatarsal III 231 mm. I–K. Pelvis and left hind limb, in lateral (I, J) and anterior (K) views. I, K, probable standing (blue) and minimally possible flexion (resting) pose; J, maximum femur protraction and retraction angles for locomotion, resulting stride length 1.34 m. L. Left hind limb showing knee range of motion. Crus positions left to right: maximal extension, maximum flexion under large loads, maximum flexion for resting. M. Crus in lateral view, showing maximum ankle flexion and extension under load. Length of fibula 463 mm.
Fig. 2 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 2. Skeletal reconstructions of prosauropod Plateosaurus engelhardti Meyer, 1837, redrawn from: A. Paul (1987, 2000). B. Wellnhofer (1994). C. Jaekel (1913–1914). D. Huene (1926). E. Galton (1990). F. Weishampel and Westphal (1986). G. Scott Hartmann. (www.skeletaldrawing.com). Typical femur length of Plateosaurus is 0.6 to 0.8 m.
Fig. 5 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 5. Range of motion of the fore limb of prosauropod Plateosaurus engelhardti Meyer, 1837 using the digital skeleton mount of GPIT1, from Trossingen, Germany. A–E. Left scapula and fore limb in anterior (A), anterolateral (B), anteromedial (C), lateral (D), and dorsal (E) views. Equal colors are identical positions. B is parallel, C is perpendicular to the main axis (flexion/extension) of the glenoid. Length of humerus 350 mm. Dashed line(s) refer to: body midline (A), orthogonal to scapula blade long axis (B), body midline and main axis of glenoid (C). Red numbers in B refer to elbow, black to humerus flexion/extension. Numbers in C refer to humerus abduction/adduction versus the vertical. F. Left radius and ulna in articulation in (top row) proximolateral, medial view, (bottom row) distal and lateral views. Length of ulna 237 mm. G. Radius and ulna in proximal view. Dotted line indicates main joint axis of elbow. Circle and lines show method for determination of theoretical maximal pronation angle. H–M. Left manus. H, I. Left to right: flexion, neutral position and extension in dorsal (H) and palmar (I) views. Digit IV duplicated in neutral position views to show lateromedial deviation range. J–M. Oblique views of flexion (J, K) and extension (L, M). Length of metacarpal III 97 mm.
Fig. 9 in The digital Plateosaurus II: An assessment of the range of motion of the limbs and vertebral column and of previous reconstructions using a digital skeletal mount
Fig. 9. Digital skeleton mount of prosauropod Plateosaurus engelhardti Meyer, 1837 GPIT1, from Trossingen, Germany. A. Anterior view of the pectoral girdle and forelimbs posed to conform to the life−sized, bipedal SMNS model (Fig. 1J) of Plateosaurus engelhardti. Dotted line indicates body outline of the model. Note gaps in elbows and wrists and too large gap between coracoids (arrows). B. Anterior view of the pelvic girdle posed to conform to the life−sized, bipedal SMNS model (Fig. 1J). Note gaps in the pelvis between sacrum and ilia, and between ilia and pubes (arrows). C. Virtual skeleton posed to conform to the toy model version (Fig. 1L) of the new SMNS quadrupedal model (Fig. 1K, L) of Plateosaurus engelhardti. Dotted line indicates body outline of the model. Arrows mark skeleton's (upper) and model's (lower arrow) knee joint. Note gaps in forelimbs and posterior ribs extending below the pubes. Length of the femur 595 mm, length of the ulna 239 mm.
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.