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4,404 results for “Digitization”

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dryad40/100

Data from: Artificial intelligence enabled multi-purpose smart detection in active-matrix digital microfluidics

<p>Active-matrix digital microfluidics (AM-DMF), integrated with hundreds of thousands of active electrodes, can simultaneously realize multiple on-chip bio-chemical reactions at the single-cell level. An intelligent detection system is critical for fully automating manipulations of thousands of digitalized bio-samples and programming the subsequent experiments in real time. In this work, we developed a series of deep learning algorithms based on an AM-DMF system for sample detections. We used the U-net model to quantitatively evaluate different splitting methods on sample droplet generation uniformity. The results revealed that droplets generated using the "one-to-two" strategy exhibits optimal uniformity. We used the YOLOv5 model to monitor the droplet splitting success rates over 18 different AM-DMF chips, and a 97.7% splitting success rate was observed. The results indicated that the model precision was 99.980% and the model recall was 99.976% through manual verification. In addition, we used an improved YOLOv8 model to detect single cells in nanoliter droplets effectively. In comparison with manual verification, the results showed that the model achieved a precision of 99.260% and a recall of 99.193%. By leveraging an artificial intelligence enabled smart detection system, AM-DMF has shown great potential as a ubiquitous platform for true lab-on-a-chip.</p>

opencc-zeroOct 2023View details →
zenodo40/100

Digitalization indicators and date on FDI for CEE and Balkan countries

<p>The data representing digitalization indicators and data for the foreign direct investment for the CEE and Balkan countries.&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Survey on the implementation of digital technology architecture in teacher training

<p>This file contains the results of a detailed survey exploring the implementation of digital technology architecture in teacher education. The survey was designed to assess how educational institutions are integrating advanced digital tools into their professional development programmes and the impact this has on teaching and learning. The data collected provides valuable insight into the effectiveness of these technologies in the educational environment, areas of success and challenges that still need to be addressed to optimise educator training in the digital age.</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Data on digital perfomance of public sector in South-East Asia

<p>Data on&nbsp;digital perfomance&nbsp;of public sector in South-East Asia includes variables affecting process of digitalization in public sector in South-East Asian countries.&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Digitization of Musu Rma data in Liu 1985

<p>This is a dataset that has been digitized from Liu 1985. The data are Liu's transcriptions of Rma/Qiang words in the Musu variety of Heishui County, SIchuan China.&nbsp;</p><p>This dataset includes the original transcription system which was not standard IPA due to type-setting. It also includes a version of the data in standardized IPA, as well as the Chinese glosses given by Liu.&nbsp;</p><p>Liu, Huiqiang. 1985. Musu Qiang Phonology [Qiangyu Musuhua Yinxi]. Qiang Studies 110– 118.</p><p>&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Fig. 3 in Repatriation of knowledge about insects and types through the DORSA virtual museum (Digital Orthoptera Specimen Access)

Fig. 3: Orthoptera (crickets and grasshoppers) collections in Germany – number of holotypes in major museums. A similar distributed pattern is observed for type material of other groups of organisms housed in German museums or research institutions.

opencc-by-4.0Dec 2005View details →
zenodo40/100

Fig. 4 in Repatriation of knowledge about insects and types through the DORSA virtual museum (Digital Orthoptera Specimen Access)

Fig. 4: Documentation of DORSA specimen data on the internet. Left: species page in SYSTAX (red arrows mark scrolling down); top right: species page in OSF; middle right: image and sound file pages in SYSTAX; bottom right: distribution map from a map server (Canadian Biodiversity Information Facility). External links are marked by yellow arrows, internal links by green arrows.

opencc-by-4.0Dec 2005View details →
zenodo40/100

Fig. 2 in Repatriation of knowledge about insects and types through the DORSA virtual museum (Digital Orthoptera Specimen Access)

Fig. 2: Species group names of Orthoptera worldwide (valid names and synonyms) and types specimens in German collections. The category holotype includes also syntypes, lectotypes and neotypes. [From Ingrisch et al. 2004a].

opencc-by-4.0Dec 2005View details →
zenodo40/100

Fig. 1 in Repatriation of knowledge about insects and types through the DORSA virtual museum (Digital Orthoptera Specimen Access)

Fig. 1: Distribution of Orthoptera type specimens (including Para- and Lectotypes) housed in German Museum collections. Note the high number of types from Africa, South East Asia and Australia, collected in the last centuries. [From Riede 2003].

opencc-by-4.0Dec 2005View details →
zenodo40/100

Digitalization in Balkan Countries

<p>This data was collected based on primary sources like IMF,WB, and secondary sources like ITU about the Balkan countries, represented by Serbia, Montenegro, North Macedonia, Bosna a Hercegovina &nbsp;, Kosovo, and Albania, where the expansion is described. The data is described between the period 2018 to 2022, where it is possible to obtain a general, comprehensive overview about digitalization in Balkan countries .</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

UN digitalization indices 2003-2022

<p>Data are organized in a separate sheet for each of the indices: E-Government Rank,E-Government Index,E-Participation Index, Online Service Index, Human Capital Index, Telecommunication Infrastructure Index</p><p>Data comes from United Nations Department of Economic and Social Affairs (https://publicadministration.un.org/egovkb/en-us/data-center).</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Country Digitalization Indicators : Thailand

<p>&nbsp;</p> <p>Data collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (<em>Project ID: HORIZON MSCA-SE 101086381)</em></p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

FIGURE 3. Currently available descriptions across different families. The 5 in Towards digital descriptions of all extant reptile species

FIGURE 3. Currently available descriptions across different families. The 5 number columns show the number of species in each family (species), the number of species with descriptions or without (desc, no desc), the percentage of species with descriptions (percent), and the number of species without (left). The left bar chart shows the percentage of species with/out descriptions (blue/yellow). The right bar chart shows the absolute number of species with/out descriptions (blue/orange). Note that Iguanidae contains all 8 families now considered Iguanidae (s.l.), e.g. Opluridae etc. The Lamprophiidae (s.l.) also contain Atractaspididae, Psammophiidae, and Pseudoxyrhophiidae. Gymnophthalmidae (s.l.) contain Alopoglossidae and Anguidae (s.l.) contain Diploglossidae.

opencc-by-4.0Oct 2023View details →
zenodo40/100

FIGURE 2 in Towards digital descriptions of all extant reptile species

FIGURE 2. Number of species with descriptions and images in the Reptile Database (A) 4,206 species descriptions contain information about other species, so even though the latter species do not have a description, information about them may be derived from those species that do. (B) Coverage of species by descriptions and/or photos.

opencc-by-4.0Oct 2023View details →
zenodo40/100

FIGURE 1 in Towards digital descriptions of all extant reptile species

FIGURE 1 Species descriptions in the Reptile Database over time and ranked by information content. (A) Timeline over which descriptions have been added to the Reptile Database. (B) Descriptions ranked by "size". Each species with a description is shown as a vertical bar, with the hight indicating its size in characters (i.e., "bytes" or letters without spaces, Y axis). The X axis shows the ranked series of species. One example is shown in the insert, namely the description of Lampropeltis alterna. This description has 623 characters and is on the shorter end of the spectrum. The tail end of this graph shows ~700 species in which the description only consists of a reference, e.g., "Description: McDowell 1979: 51" (here: for Candoia aspera Ģnther 1877), hence they are very short.

opencc-by-4.0Oct 2023View details →
zenodo40/100

Ethical Issues of Digital Knowledge in War

<p>Talk at the <a href="https://www.digital-philosophy.org/" target="_blank" rel="noopener">Philosophy [in:of:for:and] Digital Knowledge Infrastructures</a> online workshop 2023 (28/09/2023).</p>

opencc-by-4.0Dec 2023View details →
zenodo40/100

The Alteromonas Digital Microbe without Singletons

<p>This describes an <em>Alteromonas</em> digital microbe that contains a pangenome (without singleton genes) as well as corresponding item and layer data. This digital microbe is authored by Michelle DeMers (MIT) and Rogier Braakman (MIT) with help from the Meren Group and Moran Lab. The following files are included:</p> <p>Alteromonas_2_1_1_dbs.tar.gz: A compressed directory of all genomes dbs and the genome storage db used to make the pangenome.</p> <p>Alteromonas_Pangenome_2_1ns-PAN.db.tar.gz: The compressed pangenome without singletons.</p> <p>nsPangneomeFile*.tar.gz: A compressed directory of files produced while making the pangenome.</p> <p>external-genomes-v2.txt: The external genomes file that contains the name of each genome with the genome ID.</p> <p>layer_orders.txt: Phylogeny file from v 2.1.1 of this digital microbe.</p> <p>ANI2_1ns.tar.gz: Compressed directory produced when calculating ANI.</p>

opencc-by-4.0Dec 2023View details →
dryad40/100

Data from: 3D printed digital pneumatic logic for the control of soft robotic actuators

<p>Soft robots are paving their way to catch up with the application range of metal-based machines and to occupy fields which are challenging for traditional machines. Pneumatic actuators play an important role in this development, allowing the construction of bioinspired motion systems. Pneumatic logic gates provide a powerful alternative for controlling pressure-activated soft robots, which are often controlled by metallic valves and electric circuits. Many existing approaches for fully compliant pneumatic control logic suffer from high manual effort and low pressure tolerance. In our work, we invented 3D printable, pneumatic logic gates that perform Boolean operations and imitate electric circuits. Within 7 hours, an FDM printer is able to produce a module that serves as either an OR, AND or NOT gate; the logic function is defined by the assigned input signals. The gate contains two alternately acting pneumatic valves, whose work principle is based on the interaction of pressurized chambers and a 3D printed 1 mm tube inside. The gate design does not require any kind of support material for its hollow parts, which makes the modules ready to use directly after printing. Depending on the chosen material, the modules can operate on a pressure supply between 80 and over 750 kPa. The capabilities of the invented gates were verified by implementing an electronics-free drink dispenser based on a pneumatic ring oscillator and a 1-bit memory. Their high compliance is demonstrated by driving a car over a fully flexible, 3D printed robotic walker controlled by an integrated circuit.</p>

opencc-zeroJan 2024View details →
zenodo40/100

Colour Palettes for Digital Elevation Models

<p>We provide a collection of 18 colour palettes for the efficient visualisation of Digital Elevation Models (DEMs), for example in the form of heatmaps. More precisely, we propose a combination of palettes from our own production and palettes extracted from the GEneral Bathymetric Chart of the Oceans (GEBCO), including their most recent charts as well as first editions of their paper charts from 1910-1930, 1932-1966, 1958-1973 and 1973-1982. These colour palettes have been harmonised in order to span a wide range of elevations, extending from the lowest depth of 11 000 metres, found in the Challenger Deep of the Mariana Trench, to the greatest height of 9 000 metres, reached atop Mount Everest. Moreover, these 18 colour palettes are supplied in the following 5 colour spaces: RGB (Red, Green, Blue), RGB 01, Hexadecimal, HSL (Hue, Saturation, Lightness) and HSV (Hue, Saturation, Value).&nbsp;</p> <p><strong>Related article</strong>: Owein Thuillier, Nicolas Le Josse, Alexandru-Liviu Olteanu, Marc Sevaux, and Herv&eacute; Tanguy, Catalogue of coastal-based instances with bathymetric and topographic data. Earth System Science Data Discussions 2024, 1&ndash;48. doi:<a href="https://doi.org/10.5194/essd-2024-58" target="_blank" rel="noopener">10.5194/essd-2024-58</a>.</p>

opencc-by-4.0Jan 2024View details →
zenodo40/100

Data and code from: SIDERITE: Unveiling Hidden Siderophore Diversity in the Chemical Space Through Digital Exploration

<h1>TMAP of COCONUT database</h1> <p>The script and data used in SIDERITE paper to generate TMAP picture (Figure S3 in supplementart material).</p> <p>Requirement: tmap</p> <p>You can install tmap by conda.</p> <blockquote> <p>conda create -n tmap python=3.7</p> <p>conda activate tmap</p> <p>conda install -c tmap tmap</p> <p>pip install faerun</p> <p>pip install matplotlib</p> <p>conda install scipy</p> <p>conda install -c rdkit rdkit</p> <p>conda install -c conda-forge mhfp</p> </blockquote> <p>&nbsp;</p> <p>Usage: python plot_COCONUT.py</p> <p>Then it will use &nbsp;COCONUT.csv to generate &nbsp;index.html and index.js. Open index.html to see result.</p> <h1>Other large input files</h1> <p>Tanimoto_COCONUT_SIDERITE.xlsx is the input file in <a href="https://github.com/RuolinHe/SIDERITE/blob/main/predicted_new/Clustering_coconut.m">SIDERITE/predicted_new/Clustering_coconut.m at main &middot; RuolinHe/SIDERITE</a>.</p> <p>&nbsp;</p> <p>Sid_structure_output3.xlsx is used in <a href="https://github.com/RuolinHe/SIDERITE/blob/main/statistics/Figure1.m" target="_blank" rel="noopener">SIDERITE/statistics/Figure1.m at main &middot; RuolinHe/SIDERITE</a>, <a href="https://github.com/RuolinHe/SIDERITE/blob/main/TAMP/tmap_code.m" target="_blank" rel="noopener">SIDERITE/TAMP/tmap_code.m at main &middot; RuolinHe/SIDERITE</a> and <a href="https://github.com/RuolinHe/SIDERITE/blob/main/siderophore_process/Sid_process_code.m" target="_blank" rel="noopener">SIDERITE/siderophore_process/Sid_process_code.m at main &middot; RuolinHe/SIDERITE</a>.</p> <p>&nbsp;</p> <p>COCONUT4MetFrag_Canonical.xlsx is the input file in <a href="https://github.com/RuolinHe/SIDERITE/blob/main/TAMP/tmap_code.m" target="_blank" rel="noopener">SIDERITE/TAMP/tmap_code.m at main &middot; RuolinHe/SIDERITE</a>.</p> <p>&nbsp;</p> <p>COCONUT_r.txt is the output file in <a href="https://github.com/RuolinHe/SIDERITE/blob/main/TAMP/tmap_code.m" target="_blank" rel="noopener">SIDERITE/TAMP/tmap_code.m at main &middot; RuolinHe/SIDERITE</a>. and the input file in <a href="https://github.com/RuolinHe/SIDERITE/blob/main/predicted_new/isSiderophore1.py" target="_blank" rel="noopener">SIDERITE/predicted_new/isSiderophore1.py at main &middot; RuolinHe/SIDERITE.</a></p> <p>&nbsp;</p> <p>COCONUT4MetFrag.xlsx is the input file in <a href="https://github.com/RuolinHe/SIDERITE/blob/main/TAMP/CheckSMILES2.py" target="_blank" rel="noopener">SIDERITE/TAMP/CheckSMILES2.py at main &middot; RuolinHe/SIDERITE</a>.</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record