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167 results for “new technologies”

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zenodo32/100

Raw data for "Field and Laboratory Assessment of a New Electrolytic Point-of-Use Water Treatment Technology"

<p>Within these files contains the raw data used for the Figures in &quot;Field and Laboratory Assessment of a New Electrolytic Point-of-Use Water Treatment Technology.&quot;</p>

opencc-by-4.0Jan 2022View details →
dryad32/100

Data from: Stepwise Threshold Clustering: a new method for genotyping MHC loci using next-generation sequencing technology

Genes of the vertebrate major histocompatibility complex (MHC) are of great interest to biologists because of their important role in immunity and disease, and their extremely high levels of genetic diversity. Next generation sequencing (NGS) technologies are quickly becoming the method of choice for high-throughput genotyping of multi-locus templates like MHC in non-model organisms. Previous approaches to genotyping MHC genes using NGS technologies suffer from two problems: 1) a "gray zone" where low frequency alleles and high frequency artifacts can be difficult to disentangle and 2) a similar sequence problem, where very similar alleles can be difficult to distinguish as two distinct alleles. Here were present a new method for genotyping MHC loci – Stepwise Threshold Clustering (STC) – that addresses these problems by taking full advantage of the increase in sequence data provided by NGS technologies. Unlike previous approaches for genotyping MHC with NGS data that attempt to classify individual sequences as alleles or artifacts, STC uses a quasi-Dirichlet clustering algorithm to cluster similar sequences at increasing levels of sequence similarity. By applying frequency and similarity based criteria to clusters rather than individual sequences, STC is able to successfully identify clusters of sequences that correspond to individual or similar alleles present in the genomes of individual samples. Furthermore, STC does not require duplicate runs of all samples, increasing the number of samples that can be genotyped in a given project. We show how the STC method works using a single sample library. We then apply STC to 295 threespine stickleback (Gasterosteus aculeatus) samples from four populations and show that neighboring populations differ significantly in MHC allele pools. We show that STC is a reliable, accurate, efficient, and flexible method for genotyping MHC that will be of use to biologists interested in a variety of downstream applications.

opencc-zeroDec 2013View details →
zenodo32/100

Supplementary material 1 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758

List of localities of Zospeum isselianum: Explanation note: List of localities of Zospeum isselianum. A − Austria, BiH − Bosnia and Herzegovina, Cro − Croatia, Slo − Slovenia, Ita − Italy, CBSS − Collection of Croatian Biospeleological Society, CSR SASA – Malacological collection of the Biological Institute of the Centre for Scientific Research of the Slovenian Academy of Sciences and Arts in Ljubljana, SMNH – Malacological collection of the Slovenian Museum of Natural History, LIT – data from literature.

opencc-by-4.0Dec 2015View details →
zenodo32/100

Supplementary material 3 from: Taylor PJ, Neef G, Keith M, Weier S, Monadjem A, Parker DM (2018) Tapping into technology and the biodiversity informatics revolution: updated terrestrial mammal list of Angola, with new records from the Okavango Basin. ZooKeys 779: 51-88. https://doi.org/10.3897/zookeys.779.25964

Supplementary material 3 from: Taylor PJ, Neef G, Keith M, Weier S, Monadjem A, Parker DM (2018) Tapping into technology and the biodiversity informatics revolution: updated terrestrial mammal list of Angola, with new records from the Okavango Basin. ZooKeys 779: 51-88. https://doi.org/10.3897/zookeys.779.25964

opencc-zeroDec 2019View details →
zenodo32/100

Supplementary material 1 from: Taylor PJ, Neef G, Keith M, Weier S, Monadjem A, Parker DM (2018) Tapping into technology and the biodiversity informatics revolution: updated terrestrial mammal list of Angola, with new records from the Okavango Basin. ZooKeys 779: 51-88. https://doi.org/10.3897/zookeys.779.25964

Supplementary material 1 from: Taylor PJ, Neef G, Keith M, Weier S, Monadjem A, Parker DM (2018) Tapping into technology and the biodiversity informatics revolution: updated terrestrial mammal list of Angola, with new records from the Okavango Basin. ZooKeys 779: 51-88. https://doi.org/10.3897/zookeys.779.25964

opencc-zeroDec 2019View details →
zenodo32/100

Supplementary material 2 from: Taylor PJ, Neef G, Keith M, Weier S, Monadjem A, Parker DM (2018) Tapping into technology and the biodiversity informatics revolution: updated terrestrial mammal list of Angola, with new records from the Okavango Basin. ZooKeys 779: 51-88. https://doi.org/10.3897/zookeys.779.25964

Supplementary material 2 from: Taylor PJ, Neef G, Keith M, Weier S, Monadjem A, Parker DM (2018) Tapping into technology and the biodiversity informatics revolution: updated terrestrial mammal list of Angola, with new records from the Okavango Basin. ZooKeys 779: 51-88. https://doi.org/10.3897/zookeys.779.25964

opencc-zeroDec 2019View details →
zenodo32/100

Identifying continuing education resources on new data standards and technologies through an automatic crawling system

<p><span>This presentation discusses part of a project that aims to create a continuing education repository for information professionals. The presentation covers: the current challenges that information professionals face; issues in accessing continuing education resources; the design of the project and in particular its automatic crawler; and the results.</span></p>

openJul 2015View details →
zenodo32/100

MOOC: ''The development of new technologies for CO2 capture and conversion''

<p>This MOOC on &#39;&#39;The development of new technologies for CO2 capture and conversion&#39;&#39; is given by international professors. Full playlist: https://youtube.com/playlist?list=PLc88uGJ1RIFWKci0m0opuUSQSUfPylYKU</p> <p>MODULE 1: CCUS Carbon Capture Storage and Utilization approach within CO2MPRISE project, introduction by Gabriele Mulas (UNISS).</p> <p>MODULE 2: Mechanochemical activation of Olivine, introduction by Sebastiano Garroni, senior researcher at University of Sassari (UNISS).</p> <p>MODULE 3: Innovative catalytic materials, introduction by Vasiliki Alexiou, project manager at Monolithos Ltd.</p> <p>MODULE 4: Metal hydrides, by Fabiana Gennari, researcher at Comisi&oacute;n Nacional de Energ&iacute;a At&oacute;mca (CNEA) &ndash; Argentina. || Chapter 4.1: Material synthesis and processes implementation.</p> <p>MODULE 5: Solid-oxides and graphene based systems for CO2 activation and conversion, by Francisco Gracia, professor at University of Chile.</p> <p>MODULE 6: Diffraction experiments for material characterization, by Stefano Enzo, senior researcher at University of Sassari (Italy).</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

FIGURE 1 in Harnessing the power of AI language models for taxonomy and systematics: a follow-up to "Can ChatGPT be leveraged for taxonomic investigations? Potential and limitations of a new technology" by Davinack (2023)

FIGURE 1. Python code generated by ChatGPT that allows the preparation of a NEX file format. For Python tutorials, source code and installers, see https://www.python.org.

opennotspecifiedJun 2023View details →
ClinicalTrials.gov32/100

QUality of Control and slEep in Children With diabeteS, Using New Technology

ClinicalTrials.gov study NCT03103867. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

New Technologies in the Management of Lumbopelvic Pain

ClinicalTrials.gov study NCT04685837. IPD Sharing: NO. Countries: 1. Publications: 12.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Treatment of Relapsed or Refractory B-cell Lymphoma With Chimeric Antigen Receptor (CAR) T-cell Therapy Produced by a New Technology

ClinicalTrials.gov study NCT06378190. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

New AI-based Technologies in Nuclear Medicine

ClinicalTrials.gov study NCT07174089. IPD Sharing: Not stated. Countries: 1. Publications: 8.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

A New Technological Intervention to Address Childhood Obesity:

ClinicalTrials.gov study NCT06409962. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

New Technology and Child Health

ClinicalTrials.gov study NCT02622035. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Human Empowerment Aging and Disability (HEAD): New Technologies for Neurorehabilitation

ClinicalTrials.gov study NCT03025126. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Comparing a New 3D Technology Used to Measure Thyroid Nodule Volume to Standard Ultrasound

ClinicalTrials.gov study NCT07178080. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Cardiac Linear and Torsional Contractility Measurements With a New Technology: Multi Dimensional Kineticardiography

ClinicalTrials.gov study NCT03107351. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

New Technology for Individualised, Intensive Training of Gait After Stroke Study I

ClinicalTrials.gov study NCT02545205. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Validation of Kinocardiography, a New Technology Measuring Cardiac Mechanical Activity Via Accelerometers and Gyroscopes

ClinicalTrials.gov study NCT04772807. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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