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6,467 results for “process”
Dataset for article "Measurement report: Molecular characteristics of cloud water in southern China and insights into aqueous-phase processes from Fourier Transform Ion Cyclotron Resonance Mass Spectrometry"
<p>This dataset is the result of molecular composition of cloud water collected in southern China obtained by ESI FT-ICR MS. This dataset is for the article "Measurement report: Molecular characteristics of cloud water in southern China and insights into aqueous-phase processes from Fourier Transform Ion Cyclotron Resonance Mass Spectrometry" published in Atmospheric Chemistry and Physics by Sun et al. (2021).</p>
Processed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper
<p>Processed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper. Each directory in the archive consists of:</p> <p>- metadata.json. Metadata about a test run - tested fuzzer name, run duration, etc</p> <p>- fuzzer.json - Structured fuzzer output</p> <p>- deduplicated_cases.json - Deduplicated reported failures, when fuzzers provide it</p> <p>- sentry.json - Cleaned Sentry events for this run</p> <p>- target.json - Parsed stdout for Gitlab & Disease.sh targets that were tested without Sentry integration</p>
A statistical method to optimize the chemical etching process of Zinc Oxide thin films
<p>Zinc Oxide (ZnO) is an attractive material for micro and nanoscale devices. Its desirable semiconductor, piezoelectric, and optical properties <span>make</span> it useful in applications ranging from microphones to missile warning systems to biometric sensors. This work introduces a demonstration of blending statistics and chemical etching of thin films to identify the dominant factors, and interaction between factors, and <span>develop</span> statistically enhanced models on etch rate and selectivity of ZnO thin films. Over other mineral acids, ammonium chloride (NH<sub>4</sub>Cl) solutions <span>have</span> commonly been used to <span>wet</span> etch microscale ZnO devices because of their controllable etch rate and near-linear behavior. <span>Etchant</span> concentration and temperature were found to <span>have</span> a significant effect on etch rate. Moreover, this is the first demonstration that has identified multifactor interactions between temperature and concentration and between temperature and agitation. A linear model <span>was</span> developed relating etch rate and its variance against these significant factors and multifactor interactions. An average selectivity of 73:1 <span>was </span>measured with none of the experimental factors having a significant effect on the <span>selectivity. </span>This statistical study captures the significant variance observed <span>by</span> other researchers. <span>Furthermore,</span> it enables statistically enhanced microfabrication processes for other materials.</p>
PheneBank: Processed Medline Abstracts and PMC full articles + Phenotype-Disease Associations
<p><strong>The PheneBank project:</strong></p> <p>Free text scientific literature has the potential to be an incredibly valuable source of data for uncovering the often hidden relationships between genes, diseases and phenotypes. Phenotypic descriptions cover abnormalities in anatomical structures, processes and behaviours. For example 'growth delay' and 'body weight loss'. Such descriptions form the basis for determining the existence and treatment of a disease but, because of their inherent complexity, have previously received less attention by the text mining community. In recent years, significant effort has been spent by a small number of expert curators to create coding systems for phenotypes (called "ontologies"), such as the Human Phenotype Ontology (HP) and the Mammalian Phenotype Ontology (MP). The PheneBank project proposes to support and speed up curation using terms discovered directly from the literature and to automatically integrate them with such standard ontologies. <br> <br> The project seeks to harness texts for extracting statistically significant associations between phenotypes, diseases and genes. Earlier approaches have suffered from not providing deep semantic representations of the phenotypes they tried to target. Our deep learning-based approach is an attempt to overcome this issue by reducing the uncertainty between textual and ontological forms of phenotypes. Specifically, the model treats multitoken named entities as a single token which allows more reliable handling of multiword expressions. The approach builds on ground breaking research at the European Bininformatics Institute by the PI (Nigel Collier) and the Co-investigator (Damian Smedley, Queen Mary University London), including terminology alignment of phenotypes using pairwise scoring of the conceptual elements that make up the phenotype. </p> <p><a href="http://www.phenebank.org">http://www.phenebank.org</a></p> <p><br> <strong>The dataset:</strong></p> <p>As an output of the PheneBank project, we release the set of 24 million MEDLINE abstracts as well as 3.8M open-access PMC full articles annotated with 9 classes of entity: Phenotype, Disease, Anatomy, Cell, Cell_line, GPR, Gene_variant, Molecule, and Pathway. The entities have been mapped to five major ontologies: SNOMED, HPO, MeSH, PRO, and FMA.</p> <p>In addition, we release the phenotype-disease associations that are automatically extracted based on co-occurrences statistics in Medline abstracts. Among different statistical measures we evaluated, the Fisher test best corresponded to the known tuples available from the curated associations available from the Monarch Initiative (https://monarchinitiative.org).</p> <p><br> <strong>Processing:</strong></p> <p>The NER tagging has been done using a BiLSTM-CRF neural model (<a href="https://github.com/pilehvar/phenebank">https://github.com/pilehvar/phenebank</a>) trained on expert-annotated data (to be released for research). The grounding to ontologies relies on semantic embedding of concepts and entities in a unified semantic space.</p> <p><br> <strong>Data format:</strong></p> <p><strong>PheneBank_Processed_PubMed.part[x].tar.gz </strong>contains 24,359,010 .txt files that are classified into 812 directories. Each .txt file is named with a PubMed article ID and contains the corresponding article's abstract and its annotations. The dataset is split into four (unequal) parts based on PubMed's structure:<br> part1: medline16n00* medline16n01* medline16n02* [299 directories, 2.8GB]<br> part2: medline16n03* medline16n04* [200 directories, 4.7GB]<br> part3: medline16n05* medline16n06* [200 directories, 5.3GB]<br> part4: medline16n07* medline16n08* [113 directories, 3.1GB]</p> <p>The <strong>PheneBank_Processed_PMC.tar.gz</strong> files has 6,180 directories which are named after the journal titles from which the articles have been drawn. There are three files per each article (i.e., 3 .txt files for the 3,751,770 distinct articles), containing text from different parts of the article: .title.txt, .abstract.txt, and .body.txt. </p> <p>Each line starts with a word; for those words that are identified as entities, entity type and mapping information are followed in the same line (tab separated), with the following format:</p> <p>word <TAB> ::: <TAB> entity_type <TAB> entity_concept_ID_1##confidence_score_1 entity_concept_ID_2##confidence_score_2 ...</p> <p>Note that the concepts are sorted according to their mapping confidence scores.</p> <p><br> As for the <strong>PheneBank_Associations.tsv</strong> file, there are ten columns that correspond to the following (left to right):</p> <p>- Disease Name<br> - Disease (MONDO) ID<br> - Phenotype Name<br> - Phenotype (HPO) ID<br> - Co-occurrence Frequency<br> - Disease Frequency<br> - Phenotype Frequency<br> - Fisher (log)<br> - Dice<br> - Normalized PMI</p> <p> </p> <p> </p>
Processed Data and codes for visualization
<p>Processed Data and codes for visualization</p>
FIGURE 1 in Three new species of Scolytoplatypus Schaufuss from China, and notes on the movement and functions of the prosternal processes (Coleoptera: Curculionidae: Scolytinae)
FIGURE 1. Habitus and details of Scolytoplatypus spp. nov.: S. costatus male (2.2‒2.3 mm), habitus dorsal (A), habitus lateral (C), frons anterior (D); S. costatus female (2.3‒2.4 mm), habitus dorsal (B), habitus lateral (E), frons anterior (F); S. geminus male (2.9‒3.3 mm), habitus dorsal (G), pronotum (H), habitus lateral (I), frons anterior (J), pronotum anteroventral with f = fovea (K), declivity (L), prosternum (M); S. peniculatus male (4.7‒4.8 mm), habitus dorsal (N), habitus lateral (P), frons anterior (Q); S. peniculatus female (4.9‒5.3 mm), habitus dorsal (O), habitus lateral (R), frons anterior (S). The bars represent 0.5 mm.
FIGURE 3 in Three new species of Scolytoplatypus Schaufuss from China, and notes on the movement and functions of the prosternal processes (Coleoptera: Curculionidae: Scolytinae)
FIGURE 3. Male prosternum of Scolytoplatypus brahma Blandford with moveable processes: (A) right process moved in vertical plane slightly to the right; (B) left process moved in vertical plane slightly to the left; (C) left process removed to show flexible, unsclerotised cuticle at the base of the process. The bars represent 0.2 mm.
FIGURE 2 in Three new species of Scolytoplatypus Schaufuss from China, and notes on the movement and functions of the prosternal processes (Coleoptera: Curculionidae: Scolytinae)
FIGURE 2. Male prosternum of Scolytoplatypus costatus, S. geminus and S. peniculatus in comparison to their close relatives: S. costatus (A), S. geminus (B), S. peniculatus (C), S. zahradniki (D), S. blandfordi (E), S. pubescens (F). The bars represent 0.5 mm.
Forest spider data to study the response of assemblages to regional and local processes
<p>Understanding species richness variation among local communities is one of the central topics in ecology, but the complex interplay of regional processes, environmental filtering and local processes hampers generalization on the importance of different processes. Here, we aim to unravel drivers of spider community assembly in temperate forests by analyzing two independent data sets covering gradients in elevation and forest succession. We test the following four hypotheses: (H1) Spider assemblages within a region are limited by dispersal; (H2) Local environment has a disproportionate influence on species composition; and (H3) resources and (H4) biotic interactions both affect species richness patterns. Spider data were collected by pitfall traps in two independent projects within a region along elevation and canopy cover gradients.</p>
rOMT processed data: Cerebral amyloid angiopathy is associated with glymphatic transport reduction and time-delayed solute drainage along the neck arteries
<p>This dataset contains the speed map and Péclet map data processed by regularized optimal mass transport method (<a href="https://zenodo.org/record/5809635#.YczuJy2ZNBw">https://zenodo.org/record/5809635#.YczuJy2ZNBw</a>, <a href="https://github.com/xinan-nancy-chen/rOMT">https://github.com/xinan-nancy-chen/rOMT</a>).</p> <p>All files are in nifty format. This dataset contains in total 55 rat cases which are divided by age (3-month, 6-month and 12-month) and status of health ("WT" for wild-type and "CAA" for those who have developed Cerebral Amyloid Angiopathy).</p>
Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single crystal Cathode materials during degradation process
<p>Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single-crystal Cathode materials during the degradation process</p>
800G Coherent FSO Demonstration: Datasets and Post-Processing Routines
<p>This repository includes a set of experimental data and post-processing routines for the study of ultra-high capacity free-space optics (FSO) systems enabled coherent optical fiber transceivers operating at bit rates of 800 Gbps and above. </p> <p>The repository is organized into the following subfolders:<br> i) <strong>800G experiment</strong>: includes the system performance data (NGMI, SNR, etc) obtained from a 92 Gbaud coherent optical transmission over an outdoor 42 m FSO link under varying weather conditions during 48 hours;<br> ii) <strong>atmospheric turbulence</strong>: includes the raw measured received optical power and post-processing routines to analyze the impact of atmospheric turbulence during a 1-hour period at a sample rate of 10 kHz; <br> iii) <strong>channel estimation</strong>: includes the implementation of an adaptive channel estimator driven by the least mean squares (LMS) or recursive least squares (RLS) algorithms, enabling a highly accurate prediction of the channel state in an outdoor FSO link;<br> iv) <strong>optical beam alignment</strong>: includes the post-processing routines that exploit the sensitivity of an FSO system towards pointing errors using direct air-to-fiber coupling.</p>
From glacial refugia to hydrological microrefugia: factors and processes driving the persistence of the climate relict tree Zelkova sicula
<p>With only two tiny populations, the climate relict <i>Zelkova sicula</i> (Sicily, Italy) is one of the rarest trees in the world. It also represents the most marginal member of genus <i>Zelkova</i> that was widespread in the broadleaved forests thriving in warm-temperate climates throughout Eurasia until the Last Glacial Age. Occurring at the westernmost range of the genus under typical Mediterranean climate, the micro-topographic settings have always appeared crucial for the survival of this Sicilian relict. However, the factors and processes actually involved in its persistence in the current refugia, as well as the response of similar relict trees in arid environments are poorly understood worldwide. In the aim to elucidate these aspects, in the two sites hosting <i>Z. sicula</i> analyses of topographical attributes were combined with investigations on soil moisture dynamics. Additionally, plants' growth and spatial distribution patterns were analysed to detect fine-scale differences between populations and assess the possible ecological amplitude of the species.</p> <p>Results revealed that convergent topographies are basic determinants of microrefugia in arid environments. Within the investigated sites, underground moisture never decreases below 25%, buffering seasonal rainfall fluctuations. Therefore, hydrological microrefugia play a key-role in decoupling from regional climate, supporting the target species in coping with an unsuitable climatic envelope. Additionally, the inter-population variability of biometric attributes showed that individual growth is site-dependent and the species retains a relative ecological plasticity, whereas the strongly clumped spatial patterns confirmed the exclusive vegetative propagation and the common clonal growth. On one hand, deeply incised landforms have acted as effective hydrologic microrefugia, on the other clonality coupled with triploidy supposedly improved the resistance of <i>Z. sicula</i> to harsh environments, though entailing inability to reproduce sexually. Most likely, sterility and environmental/physical barriers prevent since millennia this relict from leaving the last suitable microrefugia, resulting in the two current rear-edge populations.</p>
Selected processed 5G base station RF-EMF measurement data
<p>This presents the selected processed 5G base station (BS) radio frequency electromagnetic field (RF-EMF) measurement data acquired under measurement campaign in outdoor environment. This data links to the findings shown in Section 5 of D1 report at http://empir.npl.co.uk/5grfex/wp-content/uploads/sites/55/2022/01/updated-EMPIR-18SIP02-5GRFEX-Deliverable-Report-D1.pdf. </p> <p>This work was supported by the EU project 5GRFEX entitled – ‘Metrology for RF exposure from Massive MIMO 5G base station: Impact on 5G network deployment’ (this project has received funding from the support for impact (SIP) programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme), under European Association of National Metrology Institutes (EURAMET) Reference 18SIP02.</p>
Table S1 Full factorial combination of laser process parameters and experimental results.
<p>This dataset is experimental results from a research topic of Prediction and optimization of dross formation in laser cutting of electrical steel sheet in different environments.</p>
Use of Gamification as Implementation for Software Process Improvement
<p>Studies carried out in the context of software process improvement (SPI) report problems and difficulties that organizations face to implement process models and standards, mainly related to the inability to overcome some critical factors. Thus, properly conducting SPI can facilitate the development of more efficient processes to overcome such difficulties, using gamification elements. Therefore, this article aims to identify problems in the implementation phase of an SPI effort and use gamification as a tool to mitigate barriers during SPI implementation in a company that opted for an SPI program such as CMMI Dev 2.0 and /or MR-MPS-SW and create the applicability guide using gamification in SPI that can be used by software organizations. The search string returned 499 (Four hundred and Ninety-Nine) works, of which 7 (Seven) were selected according to the Systematic Review of Literature criteria.</p>
Impact of rapid thermal processing on bulk and surface recombination mechanisms in FZ silicon with fired passivating contacts
<p>Data underlying the article</p>
TopiOCQA processed datasets
Processed datasets for TopiOCQA
TopiOCQA processed Wikipedia data
Processed Wikipedia data for TopiOCQA
Transcriptomics processed data outputs for Sofen et al 2022
<p>Processed data ouputs for transcripomtics analysis of Southern Ocean Time Series eukaryotic microbial communities. Files include: protein and HMM database used for iron stress biomarker screening, Proteins that hit to the HMM database curated to search the metatranscriptomic dataset for iron stress biomarker proteins with protein ID's, taxonomic annotation (EUKulele, MMTESP) and calculated transcripts per million (TPM) values, DNA-directed RNA Polymerase (RPB1) proteins used for taxonomic charecterization of the surface eukaryotic community with protein ID's, taxonomic annotation (EUKulele, MMTESP) and calculated transcripts per million (TPM) values.</p>
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.