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1,399 results for “manual”
Manual Field Meter Stream Measurements
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This table contains data pertaining to periodic water quality parameters measured with hand meters on streams in this region.
SGS-LTER Standard Met Data: 1971-2010 Manually Collected Soil Temperature Data in English Units on the Central Plains Experimental Range, Nunn, Colorado, USA 1971-2008, ARS Study Number 4
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82446.
Qualitative demonstration of the Manually Driven Harmonic Oscillator
<p>This is a physics teaching <a href="https://youtu.be/Q9A-8cXByHk">video</a> showing a qualitative demonstration of forced oscillations and resonance using a spiral toy and the Harmetronome web application loaded on a smartphone (<a href="https://www.youtube.com/redirect?q=http%3A%2F%2Fharmetronome.glitch.me%2F&event=video_description&v=Q9A-8cXByHk&redir_token=pgUe3w2q3dMSITkYlyNg9tlevF18MTU4MDI0NzU5OEAxNTgwMTYxMTk4">http://harmetronome.glitch.me/</a>). More details can be found in this <a href="https://arxiv.org/abs/1911.12639">article</a>.</p>
Quantitative demonstration of the Manually Driven Harmonic Oscillator
<p>This is a physics teaching <a href="https://youtu.be/74YtezSDFRo">video</a> showing a quantitative demonstration of forced oscillations and resonance using a spiral toy and the Harmetronome web application (<a href="https://www.youtube.com/redirect?q=http%3A%2F%2Fharmetronome.glitch.me%2F&event=video_description&v=74YtezSDFRo&redir_token=lc37dlhIvjIRzadW2Ikx8E_Jgvp8MTU4MDI0ODk5OUAxNTgwMTYyNTk5">http://harmetronome.glitch.me/</a>) projected on a blackboard. More details can be found in this <a href="https://arxiv.org/abs/1911.12639">article</a>.</p>
Supplementary tables S5, S7, S9, S10, original protein models fasta files used for alignments, aligned and manually curated protein modes files used for phylogenies (PHYLIP format), and phylogenetic trees of plant cell wall decomposition gene families from 44 basidiomycete genomes (.tre files)
<p><span><span><span><span><span><span><span><span><span><span><span>Litter-decomposing Agaricales play key role in terrestrial carbon cycling, but little is known about their decomposition mechanisms. We assembled datasets of 42 gene families involved in plant-cell-wall decomposition from seven newly sequenced litter decomposers and 35 other Agaricomycotina members, mostly white-rot and brown-rot species. Using sequence similarity and phylogenetics, we split the families into phylogroups and compared their gene composition across nutritional strategies. Subsequently, we used Raman spectroscopy to examine the ability of litter decomposers, white-rot fungi, and brown-rot fungi to decompose crystalline cellulose. Both litter decomposers and white-rot fungi share the enzymatic cellulose decomposition, whereas brown-rot fungi possess a distinct mechanism that disrupts cellulose crystallinity. However, litter decomposers and white-rot fungi differ with respect to hemicellulose and lignin degradation phylogroups, suggesting adaptation of the former group to the litter environment. Litter decomposers show high phylogroup diversity, which is indicative of high functional versatility within the group, whereas a set of white-rot species shows adaptation to bulk-wood decomposition. In both groups, we detected species that have unique characteristics associated with hitherto unknown adaptations to diverse wood and litter substrates. Our results suggest that the terms white-rot fungi and litter decomposers mask a much larger functional diversity.</span></span></span></span></span></span></span></span></span></span></span></p>
Manual Topic Annotation of German Novels and Parlament Protocols by multiple Annotators
<p>This dataset was created in the research project hermA and contains topic annotations for 960 sentences, half of which were taken from transcripts of the German Bundestag and half from recent German novels.</p> <p>For each sentence, 30 different annotators evaluated whether illness is addressed, how central the topic is, if so, and how certain they are in the annotation.</p> <p>The dataset contains the following columns:</p> <ul> <li><strong>item_id </strong>(for each sentence)</li> <li><strong>worker_id </strong>(for each annotator)</li> <li><strong>worker_group </strong>(either "crowdworker" or "student")</li> <li><strong>corpus </strong>(either "protocol_corpus"=transcript corpus or "novel_corpus"=fiction corpus)</li> <li><strong>text_source</strong></li> <li><strong>previous_sentences </strong>(in the text_source)</li> <li><strong>target_sentence</strong></li> <li><strong>following_sentences </strong>(in the text_source)</li> <li><strong>semantic_field_token </strong>(if existing)</li> <li><strong>semantic_field_status </strong>(either "True" or "False")</li> <li><strong>1_wird_im_fett_gedruckten_satz_krankheit_thematisiert </strong>(topic annotations: either "ja" or "nein")</li> <li><strong>1b_wie_zentral_ist_das_thema_krankheit_im_fettgedruckten_satz </strong>(topic centrality: "NaN", "krankheit_kommt_eher_am_rande_des_satzes_vor" or "krankheit_ist_das_zentrale_thema_des_satzes")</li> <li><strong>2_wie_sicher_bist_du_dir_bei_der_antwort_zu_frage_1_ </strong>(annotation certainty: "sehr_sicher", "eher_sicher", "eher_unsicher" or "sehr_unsicher")</li> </ul> <p> </p> <p>We use the annotations to model ambiguity in:</p> <p>Andresen, Melanie; Vauth, Michael & Zinsmeister, Heike. 2020. Modeling Ambiguity with Many Annotators and Self-Assessments of Annotator Certainty. <em>Proceedings of 14th Linguistic Annotation Workshop</em>.</p>
Positive/negative co-evolution samples with manual inspection results
<p><a href="https://zenodo.org/api/files/40580848-f439-4792-bb80-4681cabe81dd/dubbo_coevo_patches.txt">dubbo_coevo_patches.txt </a><br> Co-evolution patches in Duboo.<br> <br> <a href="https://zenodo.org/api/files/40580848-f439-4792-bb80-4681cabe81dd/kafka_coevo_patches.txt">kafka_coevo_patches.txt </a><br> Co-evolution patches in Kafka.</p> <p><a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/negative-findings.xlsx">negative-findings.xlsx </a><br> Inspecting results of negative samples<br> <br> <a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/negative.zip">negative.zip </a><br> Negative sample patches (not co-evolved in 20 days)<br> <br> <a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/positive-findings.xlsx">positive-findings.xlsx </a><br> Inspecting results of positive samples<br> <br> <a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/positive.zip">positive.zip </a><br> Positive sample patches (co-evolved in 2 days)</p> <p> </p> <p><strong>NOTE</strong><br> The item order in _coevo_patches.txt is: proj type prod_sha1 test_sha1 prod_path test_path.<br> The excel data is sorted in "natural sorting" algorithm, the default sorting algorithm in Windows file explorer.<br> It is recommended to use VS Code to browse the patch files.</p>
Fence #2 Manual retopology [Photogrammetry]
Why you ask? ... I don't know I just did it :I Source: Objaverse 1.0 / Sketchfab
Reconfiguring motor circuits for a joint manual and BCI task
<p>Labview experiment details for recordings supporting dual control brain-computer interface.</p>
Reconfiguring motor circuits for a joint manual and BCI task
<p>MEA recordings supporting dual control BCI</p>
How manual object exploration is associated with 7- to 8-month-old infants' visual prediction abilities in spatial object processing.
<p>Data set of Kubicek, C., Jovanovic, B., & Schwarzer, G. (in press). How manual object exploration is associated with 7- to 8-month-old infants’ visual prediction abilities in spatial object processing. <em>Infancy.</em></p>
Manually Curated Library of Transposable Elements (TEs) and TE Annotations for Drosophila amaguana
<p>This data collection provides a manually curated library of transposable elements (TEs) for <em>Drosophila amaguana</em>, including consensus sequences, genome-wide TE annotations, and individual TE copy sequences. The library was built using <em>de novo</em> generated by EDTA (Extensive <em>de novo</em> TE Annotator) and RepeatModeler, curated with MCHelper, and further processed for genome annotation using RepeatMasker and OneCodeToFindThemAll. </p> <p>Below is a description of the included files:</p> <ul> <li><strong><code>Dama_curated_TE_library.fasta</code>:</strong> Contains 737 consensus TE sequences manually curated for <em>D. amaguana</em>. Sequence identifiers include classification and origin (e.g., new families or similarity to known elements). The identifier for each sequence in the FASTA file includes information about its classification:<br><br> <ul> <li><strong>For sequences corresponding to potentially new families</strong>: The identifier consists of a three-letter abbreviation for <em>D. amaguana</em> (Dama), followed by the new family identifier and the superfamily name, all separated by underscores. <em>Example: </em>Dama_NF_BELPAO_1.</li> <li><strong>For consensus sequences that show similarity to TE sequences previously reported in other species</strong>: The identifier includes the abbreviation Dama, followed by the superfamily name and an abbreviation for the species in which the TE was previously reported, all separated by underscores. Example: Dama_Helitron-1_DVir.<br><br></li> </ul> </li> <li><strong><code>Dama_TE_annotations.out</code>:</strong> Genome-wide annotation file of TE insertions produced with RepeatMasker and post-processed using OneCodeToFindThemAll to merge fragmented elements.</li> <li><strong><code>Dama_TE_copies.fasta</code>: </strong>FASTA file containing the extracted sequences of all annotated TE copies from the <em>D. amaguana</em> genome.</li> <li><strong><code>TEcopies_sequences.sh</code>:</strong> Shell script used to extract TE copy sequences from the genome using the annotation coordinates.</li> <li><strong><code>Dynamics_Dama.ipynb</code>: </strong>Jupyter Notebook for the analysis of transposable element (TE) dynamics in<strong> </strong><em>D. amaguana.</em></li> </ul>
A!ex autonomous car driving in manual mode dataset
<p>Dataset from autonomous car A!ex (https://www.aalto.fi/en/news/invisible-powers-are-driving-cars-and-cranes-but-what-goes-on-behind-the-scenes-to-get-these) driven manually around Otaniemi. </p>
Mantequera Manual
Source: Objaverse 1.0 / Sketchfab
Research database - Regulations, Manuals and Technical Standards Professional Career Pharmaceutical Sciences and Biochemistry
<p><span>This database contains information on Regulations, Manuals and Technical Standards of the Professional Career of Pharmaceutical Sciences and Biochemistry. Inca Garcilaso de la Vega University. Lima Peru</span></p> <p><span> </span></p>
Manually validated PageXML files for images in book "Lettres du sieur de Balzac"
<p>Transcription of 57 pages of the 637-page printed book "Lettres du sieur de Balzac" by Jean-Louis de Balzac (1597-1654), publication date 1624. Transcription contains pages in PageXML format, useful for training an optical character recognition (OCR) model. The PageXML files were created by applying a public multilingual Transkribus model ("Transkribus print M1") on the images at https://github.com/Heresta/OCR17plus/blob/main/Data/Balzac1624_Lettres_btv1b86262420_corrected and by manually validating the result. During manual validation, the transcription was normalized (spelling adapted to modern French).</p>
Are some effector systems harder to switch to? In search of cost asymmetries when switching between manual, vocal, and oculomotor tasks
<p>Data of "Are some effector systems harder to switch to? In search of cost asymmetries when switching between manual, vocal, and oculomotor tasks ", Hoffmann, Koch, & Huestegge.</p> <p>Raw data of Experiment 1 and Experiment 2.</p>
Automated bird sound classifications of long-duration recordings produce occupancy model outputs similar to manually annotated data
<p>Occupancy modeling is used to evaluate avian distributions and habitat associations, yet it typically requires extensive survey effort because a minimum of three repeat samples are required for accurate parameter estimation. Autonomous recording units (ARUs) can reduce the need for surveyors on site, yet ARUs utility were limited by hardware costs and the time required to manually annotate recordings. Software that identifies bird vocalizations may reduce expert time needed, if classification is sufficiently accurate. We assessed the performance of BirdNET – an automated classifier capable of identifying vocalizations from >900 North American and European bird species – by comparing automated to manual annotations of recordings of 13 breeding bird species collected in northwestern California. We compared the parameter estimates of occupancy models evaluating habitat associations supplied with manually annotated data (9 min recording segments) to output from models supplied with BirdNET detections. We used three sets of BirdNET output to evaluate the duration of automatic annotation needed to approach manually annotated model parameter estimates: 9-min, 87-min, and 87-min of high-confidence detections. We incorporated 100 3-sec manually validated BirdNET detections per species to estimate true and false positive rates within an occupancy model. BirdNET correctly identified 90% and 65% of the bird species a human detected when data were restricted to detections exceeding a low or high confidence score threshold, respectively. Occupancy estimates, including habitat associations, were similar regardless of method. Precision (proportion of true positives to all detections) was >0.70 for 9 of 13 species, and a low of 0.29. However, processing of longer recordings was needed to rival manually annotated data. We conclude that BirdNET is suitable for annotating multispecies recordings for occupancy modeling when extended recording durations are used. Together, ARUs and BirdNET may benefit monitoring and, ultimately, conservation of bird populations by greatly increasing monitoring opportunities. </p>
Percussion test: description and diagnostic accuracy of a new manual test for bone marrow edema of the knee - RAW DATASET
<p>Background</p> <p>Prompt diagnosis of bone marrow lesion (BML) is difficult but critical for correct treatment. Magnetic resonance imaging is the gold standard, although expensive and time consuming. Simple and reliable clinical test for BML detection is lacking. Aim of the study is to describe a new manual clinical test called Percussion Test (PT) and to statistically determine its diagnostic accuracy in BML, compared to MRI imaging.</p> <p>Methods</p> <p>After evaluation of the inclusion and exclusion criteria, 218 consecutive patients with unilateral knee pain and age comprised between 18 and 80 years old were enrolled in our observational prospective study. Informed consent was obtained for each patient. After medical history collection, PT was performed by a single operator as described. MRI was performed in the affected knee to detect the presence of BML. Coherence in PT and MRI assessment was evaluated in each quadrant of the knee via contingency tables, as sensitivity, specificity, NPV, PPV and diagnostic accuracy were calculated.</p> <p>Results</p> <p>No correlation with a positive PT was demonstrated for the covariables gender (<em>p</em> =&thinsp;0.156), age (<em>p</em> =&thinsp;0.272) and BMI (<em>p</em> =&thinsp;0.639).</p> <p>PT showed a sensitivity ranging from 60.6 (40.6–80.6) to 79.5 (63.0–96.0) and a specificity ranging from 85.7 (80.0–91.5) to 96.0 (93.1–98.9) depending on knee quadrant. Diagnostic accuracy ranged from 81.6 (75.9–86.6) to 89.4 (84.6–93.2), and <em>p</em>-value was < 0.00001 in a chi-squared analysis for all quadrants.</p> <p>Conclusions</p> <p>PT showed sensitivity and specificity values that are comparable with other clinical tests routinely adopted in clinical practice. In the absence of other reliable clinical test, PT has the potential to become a useful bedside tool in the diagnosis and management of BMLs.</p>
Dataset for Stack overflow Manual Results about challenges in developing Spark applications
<p>This dataset contains Stack Overflow manual study results for the paper "An Empirical Study on the Challenges that Developers Encounter When Developing Apache Spark Applications".</p> <ul> <li>the <em>data</em> folder contains the <em>Stackoverflow Manual Results.csv </em>file that is the manual analysis result for the Stack Overflow posts. The CSV file contains information on the classification of the data, the reasons and the number of views, etc. </li> </ul> <p> </p> <ul> <li>the <em>scripts</em> folder contains the python and SQL files that are used for data collection and data analysis. <ul> <li><em>query_data.sql</em> is used to collect data from the Stack Exchange website.</li> <li><em>sample.py</em> is used to sample data for the manual analysis in the paper.</li> <li><em>common_issue.py</em> is used to study the percentage of common issues in rq1. </li> <li><em>popularity.py </em>is used to calculate the average of normalized view counts in rq2.</li> <li><em>popularity_difficulty.py</em> is used to calculate the average of raw view counts and the median hours to receive an answer in rq2.</li> <li><em>root_cuase.py</em> is used to study the percentage of root causes in rq3. </li> </ul> </li> </ul>
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.