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Year 2003, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH on the Ipswich R. mainstem at North Reading, just upstream of Rt. 28 (~48 km2 drainage area).
Year 2003, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use watershed. Measurements are for part of the ice free season (March – December). No Discharge was determined because beaver activity prevented rating curve estimate. Several day gaps occur periodically due to removal for recalibration.
Year 2005, 15-30 minute measurements of stage, water temperature, conductivity in a small headwater stream draining draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2005,continuous measurements, every 15-30 minutes, were made of stage, water temperature, conductivity in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2006, 10, 15 or 30 minute measurements of stage, water temperature, conductivity in a small headwater stream draining draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2006, continuous measurements, every 10, 15 or 30 minutes, were made of stage, water temperature, conductivity in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2007, 10 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2007, continuous measurements, every 10-30 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2008, 15 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2008, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2009, 15 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2009, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2010, 15 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2010, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2011, 15 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2011, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
PIE LTER year 2016, 15 minute measurements of conductivity, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Br., draining Cedar Swamp, Reading, MA.
Year 2016, continuous measurements, every 15 minutes were made of conductivity, water temperature in Bear Brook in Reading, MA, a small headwater stream draining Cedar Swamp, a mainly wetland catchment (49% wetlands and swamp + 36% forest) in the Ipswich River watershed.
PIE LTER year 2017, 15 minute measurements of conductivity, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Br., draining Cedar Swamp, Reading, MA.
Year 2017, continuous measurements, every 15 minutes were made of conductivity, water temperature in Bear Brook in Reading, MA, a small headwater stream draining Cedar Swamp, a mainly wetland catchment (49% wetlands and swamp + 36% forest) in the Ipswich River watershed.
Year 2016, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2016, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2017, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2017, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2018, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2018, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2019-2021, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2019, 2020 and 2021 continuous measurements, every 15 minutes, were made of depth and stream temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential) in the Ipswich River watershed. Discharge is determined from stage using discharge vs stage regressions.
Emotion regulation in the Ageing Brain, University of Reading, BBSRC
Open the record for dataset details and reuse information.
Recording of a learner of the Dutch language reading a Dutch position paper about Open Science in the Netherlands
<p>This repo contains a recording I made of me reading the position paper "<a href="https://commons.wikimedia.org/wiki/File:283.002-Erkennen-en-Waarderen-Position-Paper_NL_web.pdf#%7B%7Bint%3Alicense-header%7D%7D">Ruimte voor ieders talent</a>" (<a href="https://commons.wikimedia.org/wiki/File:283.002-Erkennen-en-Waarderen-Position-Paper_EN_web.pdf#%7B%7Bint%3Afiledesc%7D%7D">Room for everyone's talent</a>) upon first contact, albeit after having read the accompanying post "<a href="https://www.scienceguide.nl/2019/11/erkennen-en-waarderen-moet/">Erkennen en waarderen in de wetenschap gaan drastisch veranderen</a>" by Sicco de Knecht, which provides a summary of the position paper and got me interested in knowing more. That post was not openly licensed, so my recording of reading it cannot be shared, but the position paper is available under the <a href="https://en.wikipedia.org/wiki/en:Creative_Commons">Creative Commons</a> <a href="https://creativecommons.org/licenses/by/3.0/nl/deed.en">Attribution 3.0 Netherlands</a> license, which thus also pre-determines the licensing of this recording of me reading it.</p> <p>The reason I am putting this out here is that I am interested in sharing knowledge in general, including the process of how it was acquired, which is usually not very visible, even if all the relevant teaching materials are available, which is getting more popular but still remains rare overall. For the same reasons, by the way, I am running a <a href="https://github.com/Daniel-Mietchen/learning2code">GitHub repo</a> about my progress in learning programming and querying languages.</p> <p>I have no training in Dutch but am a native speaker of German and fluent in English, through which I can understand Dutch texts fairly easily, and I have read a good number of them (including books but more frequently Wikipedia articles) silently over multiple years, which gave me some idea about how the language works.</p> <p>What is usually neglected when reading silently is pronunciation, e.g. while I passively know how numbers and letters are pronounced in Dutch, I normally read them in English or German when reading Dutch texts silently, since that is quicker and less effort for me, and most of the reading I do is to learn about content, not the respective languages.</p> <p>With the bit of extra time afforded by the present holiday period, I can give some more attention to the language part, and since the topic of the position paper (open science and how we need to adapt incentive structures in the research landscape around that) is one that I deeply care about, I could also imagine coming back to the text occasionally to track my progress over time.</p> <p>So if you are interested in the process of language acquisition or in second language acquisition (for me, though, Dutch is far from being second) and especially in open education or open science around these topics, I'd appreciate you getting in touch to learn from each other around how such materials can help me and others learn this language or anything else, and how the workflows around that could be streamlined.</p>
Virome analysis of PRJNA361402 - reads
<p>Raw output files from virome analysis of [PRJNA361402](https://www.ncbi.nlm.nih.gov/sra?term=PRJNA361402) study using [virome-quant workflow](https://github.com/avilab/vs).</p> <p>## Files</p> <p>samples_norm.tsv -- ids and ftp links of analysed runs (see 'analyse' variable)</p> <p>treatments.csv -- treatments info</p> <p>Contents of tar archives:</p> <ol> <li><a href="/api/files/73acc472-0860-4091-b3d2-0007dfd212f1/prjna361402_phages.tar.gz?versionId=d50f3e0d-c044-4cd2-888f-c65c0f236597">prjna361402_phages.tar.gz</a> -- reads assigned to phages, csv files with blast results</li> <li><a href="/api/files/73acc472-0860-4091-b3d2-0007dfd212f1/prjna361402_phages-viruses.tar.gz?versionId=de66043e-da9c-4072-a11a-3291f859ecf1">prjna361402_phages-viruses.tar.gz</a> -- reads assigned to viruses, csv files with blast results</li> <li><a href="/api/files/73acc472-0860-4091-b3d2-0007dfd212f1/prjna361402_non-viral.tar.gz?versionId=ea1671ce-a916-4a0e-8e90-606c5af8e790">prjna361402_non-viral.tar.gz</a> -- reads assigned to other taxa, csv files with blast results</li> <li><a href="/api/files/73acc472-0860-4091-b3d2-0007dfd212f1/prjna361402_unassigned.tar.gz?versionId=b9196f22-ca96-4340-9b05-89d1dcbf8545">prjna361402_unassigned.tar.gz</a> -- fasta files with unassigned reads</li> <li><a href="/api/files/73acc472-0860-4091-b3d2-0007dfd212f1/prjna361402_stats.tar.gz?versionId=88c4b792-9dfc-47b0-b55f-b69936381c66">prjna361402_stats.tar.gz</a> -- intermediate file stats</li> </ol> <p> </p> <p> </p>
LRRo: A Lip Reading Data Set for the Under-resourced Romanian Language
<p>Two distinct collections are presented in this repository:</p> <p>(i) wild LRRo data is designed for an Internet in-the-wild, ad-hoc scenario, coming with more than 35 different speakers, 1.1k words, a vocabulary of 21 words, and more than 20 hours;</p> <p>(ii) lab LRRo data, addresses a lab controlled scenario for more accurate data, coming with 19 different speakers, 6.4k words, a vocabulary of 48 words, and more than 5 hours.</p>
Data for Bovine breed-specific augmented reference graphs facilitate accurate sequence read mapping and unbiased variant discovery
<p><strong>Description of the datasets</strong></p> <p>Data are organized as folders and compressed with tar.gz.</p> <p>There are two compressed data folder: <strong>data </strong>which used for cattle genome graphs experiment and <strong>data_human</strong> which we used for human genome graphs experiment. </p> <p><strong>Cattle genome graphs experiments</strong></p> <p>First you need to unzip the file using command <em>tar -xvzf data.tar.gz</em>. After unzipping, the data folder is organized as follows:</p> <ul> <li>Utilities: contain bovine ARS-UCD 1.2 fasta reference with the accompanying index.</li> <li>Bin: contain the softwares used in the paper (vg, liftover, vcf2diploid)</li> <li>Part1: data for analysis in variant prioritization section, further subdivided into: <ul> <li>vcf_sim: variant files from four animal in each breed used to simulate reads</li> <li>reads_sim: simulated short reads used for read mapping</li> <li>vcf_freq: variants augmented to graphs filtered based on allele frequency</li> </ul> </li> <li>Part2: data used for analysis in the section of graph mapping with breeds-filtered variants, further subdivided into: <ul> <li>vcf_breed: variant files used to graphs construction.</li> </ul> </li> <li>Part3: data used for analysis in the section of consensus genome, further subdivided into: <ul> <li>read_sims: simulated reads as in the part1, but the coordinates are liftovered to the new consensus genomes.</li> <li>reference: contain the original reference and consensus references.</li> <li>vcf_consensus: contain major allele variants to construct consensus genomes.</li> </ul> </li> <li>Part4: data analysis in the section of whole genome graph construction and variant genotyping. <ul> <li>vcf_construct: variants from chromosome 1-29 from 82 Brown Swiss used to construct BSW whole genome graph.</li> <li>BSW_graph: whole genome Brown Swiss graph with the three accompanying indexes (xg,gcsa, and gbwt).</li> </ul> </li> </ul> <p><strong>Human genome graphs experiments</strong></p> <p>First you need to unzip the <em>data_human</em> file using command <em>tar -xvzf data</em><em>_hum.tar.gz</em>. After unzipping, the data folder is organized as follows:</p> <ul> <li>reference: the g1k_v37 reference used as a graph backbone</li> <li>vcf_sim: variant files from four individuals in each population used to simulate reads</li> <li>reads_sim: simulated short reads used for read mapping</li> <li>vcf_freq: variants augmented to graphs filtered based on allele frequency</li> </ul>
The SV callsets of the HG002 human sample produced by cuteSV with multi long-read sequencing platforms.
<p>The SV callsets of the HG002 human sample produced by cuteSV with multi long-read sequencing platforms.</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.