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6,969 results for “prospecting”
Prospect Hill Forest Plots at Harvard Forest 2013
Northern temperate forests function as an important carbon sink in the global carbon budget. Eddy covariance and plot-based measurements indicate that the Harvard Forest carbon sink is substantial and that the rate of carbon sequestration has increased over the past 20 years. A synthesis effort is underway to better understand how forest development, response to disturbance, and dominant tree species drive the patterns and mechanisms of forest carbon dynamics at the Harvard Forest. The goal of this project is to sample and analyze forest carbon stocks and dynamics across a suite of permanent plots established in 1937 and re-measured in 1992 in order to understand how and why forest carbon stocks have changed between 1937 and 2013. Data from this suite of plots will give spatial and temporal context to a synthesis of detailed, site-specific permanent forest plot studies. Other goals, such as vegetation biodiversity, and a more detailed study of root patterns in soils and belowground carbon distribution, are of strong interest but not addressed in detail in this sampling effort.
Phenology and Vegetation Growth in Prospect Hill Soil Warming Experiment at Harvard Forest 1992-1993
As the mean annual temperature of northeast North America rises as a component of global climatic change, it is important to understand how the predominant vegetation of the region will be affected. Existing experimental and correlative evidence from field sites suggests that temperature rise will significantly modify soil processes, nutrient availability, and plant growth. We investigated the responses of temperate deciduous forest vegetation to artificial soil warming at 20 sampling dates during the 1992 and 1993 growing season. We explored whether soil warming measurably altered growth and the temporal dynamics of leaf and fruit production in 26 species of three contrasting plant growth forms (herbaceous perennials, shrubs, and canopy trees). We hypothesized that soil warming would exert differential effects on emergence, phenology, leaf expansion rates, growth, photosynthesis, and vegetative and sexual reproduction among species, with implications for changing community structure in these forests. Timing of leaf emergence and flower production was not affected by treatment in saplings; however, mature trees and shrubs leafed out slightly earlier and in larger numbers in heated plots. Soil warming significantly enhanced relative growth in stem diameters of woody plants, especially shrubs, in 1992. This effect was less pronounced in 1993. Species richness was lower in heated plots than in intact control plots in both years; disturbed but unheated control plots showed the lowest species richness of all plots. Changes in relative abundance of herbaceous species from 1992 to 1993 were not significantly affected by treatment. Rank abundances of species were more stable between years in the heated and disturbance-control plots than in the intact plots. Total density of herbaceous species was highest in heated plots during April and May of both years, reflecting greatly accelerated emergence of two dominant species, Maianthemum canadense and Uvularia sessilifolia, due t
Longitudinal Streamflow in Headwater Streams on Prospect Hill Tract at Harvard Forest 2003
We have initiated long-term monitoring of streamflow in headwater streams on the Prospect Hill Tract at the Harvard Forest. In addition, we have periodically recorded summer flow conditions longitudinally along the length of headwaters within Harvard Forest to obtain information about spatial heterogeneity of flow and of availability of aquatic habitat within these headwaters. In summer of 2003, we recorded streamflow each week at 20-m intervals along the length of two tributaries of Nelson Brook, Tributary A, from Route 32 to its outlet from the Black Gum Swamp, and Tributary B, from its junction with Tributary A to its origin in wetlands north of Prospect Hill Road.
Prospect Hill Soil Warming Experiment at Harvard Forest since 1991
The soil warming experiment was installed on the Prospect Hill tract in 1991 to allow us to investigate the effects of a 5 deg C temperature increase on soil processes fundamental to the global cycling of carbon and nitrogen. The experiment is located in an even-aged mixed hardwood forest. Six replicates of three treatments, Heated (resistance heating cables buried at 10cm and maintained at a 5 deg C differential from the control plots), Disturbance Control (cables installed but not powered) and Control treatments make up the randomized block design. The temperature differential is maintained with monitoring at five minute increments by an automated thermistor network in the plots, wired to a multiplexer and a datalogger in the control shed. In the plots, measurements of trace gasses (CO2, N2O and CH4), nitrogen mineralization, soil moisture and soil water chemistry have allowed us to quantify changes in the soil system. Ten years of elevated soil temperatures at the Harvard Forest soil warming experiment suggest that there are limits to a positive feedback to the global warming cycle. After many early years of increased CO2 fluxes from the warmed plots, years nine and ten have revealed no significant differences in releases of CO2 between the heated and control plots. Nitrogen mineralization has shown a large response to warming as well, with twice the rate of N mineralized in years 1-4, followed by a gradual decrease in rates to about the 40% level in 1998. Resumption of mineralization measurements in 2001 reveals a continued decrease in mineralization rates. Field results from the soil warming experiment indicate that only a small fraction of the soil carbon in this mid-latitude forest ecosystem will be lost to the atmosphere in response to warming. We find that a 5 deg C warming of the soil for a decade results in a loss of about 11% of the carbon stored in the top 60 cm of soil, with most of this loss occurring in the first four to five years. By the end of the
Historical GIS Data for Prospect Hill Tract at Harvard Forest 1733-1986
This dataset contains elevation, 1986 forest type, land-use history, and soils maps for the Prospect Hill Tract, digitized from paper maps in the Harvard Forest Archives. File format = Idrisi 4.1 binary. Resolution = 10m x 10m. Coordinates = UTM zone 18. Datum = 1927 North American. This dataset has been replaced with a new vector series for the entire Harvard Forest (see HF110).
Prospect Hill Hydrological Stations at Harvard Forest since 2005
To better understand the critical role of headwater streams and wetlands in our forest ecosystem, long-term measurements were initiated in 2005 on two small watersheds in the Prospect Hill Tract of the Harvard Forest. On Nelson Brook, weirs were installed on outlet streams of an 11-ha spruce-hemlock wetland (watershed area = 44 ha). On Arthur Brook (formerly Bigelow Brook), pipes were installed to measure flow above (watershed = 24 ha) and below (watershed = 65 ha) a 3-ha shrub-dominated beaver swamp. The gaged watersheds, though adjacent and comparable in size, differ significantly in topography, soils, wetlands, stream chemistry, stream biota, land-use history, and forest vegetation, and provide an extraordinary opportunity to study the impacts of these factors on small watershed hydrology and ecology. Weekly manual measurements were initiated in April 2005. Continuous automated measurements were initiated at the stream gages in December 2007 and at the wetland gages in October 2008. Data for the current month are available online, updated every 15 minutes, with out-of-range values replaced by NA but values not otherwise checked. Earlier data are checked and archived monthly with missing, questionable, and estimated values flagged, following methods of the LTER ClimbDB project. A log of events affecting station measurements is also posted. For current data, please see: https://harvardforest.fas.harvard.edu/met-hydro-stations.
Raw data for the submitted manuscript entitled "Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis"
<p><span>Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution. </span><span>This file concerns plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. Two improved scenarios were considered, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives. </span></p>
Datasets for practical model selection for prospective virtual screening
<p>This repository contains datasets for the manuscript "Practical model selection for prospective virtual screening":</p> <ul> <li><strong>pria_rmi_cv.tar.gz</strong>: A compressed directory containing chemical screening data for the <strong>PriA-SSB AS</strong>, <strong>PriA-SSB FP</strong>, and <strong>RMI-FANCM FP</strong> binary datasets. The files also contain the associated continuous % inhibition values and chemical features represented as SMILES and Morgan fingerprints. The dataset has been split into five folds for cross validation.</li> <li><strong>pria_rmi_pcba_cv.tar.gz</strong>: A compressed directory containing chemical screening data for the <strong>PriA-SSB AS</strong>, <strong>PriA-SSB FP</strong>, and <strong>RMI-FANCM FP</strong> binary datasets as well as public PubChem BioAssay datasets. The files also contain the PriA-SSB and RMI-FANCM continuous % inhibition values and chemical features represented as SMILES and Morgan fingerprints. The dataset has been split into five folds for cross validation. Missing values are left blank.</li> <li><strong>pria_prospective.csv.gz</strong>: A compressed file containing chemical screening data for the binary dataset <strong>PriA-SSB prospective</strong>. The file also contains the continuous % inhibition values and chemical features represented as SMILES and Morgan fingerprints.</li> </ul> <p>If you use these data in a publication, please cite:</p> <p>Shengchao Liu<sup>+</sup>, Moayad Alnammi<sup>+</sup>, Spencer S. Ericksen, Andrew F. Voter, Gene E. Ananiev, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter. Practical Model Selection for Prospective Virtual Screening. Journal of Chemical Information and Modeling. 2018 <a href="https://doi.org/10.1021/acs.jcim.8b00363">doi:10.1021/acs.jcim.8b00363</a></p> <p>PubChem data were provided by the <a href="https://pubchem.ncbi.nlm.nih.gov/">PubChem database</a>. Follow the <a href="https://pubchemdocs.ncbi.nlm.nih.gov/citation-guidelines">PubChem citation guidelines</a> if you use the PubChem data. See <a href="https://doi.org/10.1177/2472555217712001">Voter et al. 2017</a> (PubChem AID <a href="https://pubchem.ncbi.nlm.nih.gov/bioassay/1272365">1272365</a>) for the PriA-SSB screening data and <a href="https://doi.org/10.1177/1087057116635503">Voter et al. 2016</a> (PubChem AID <a href="https://pubchem.ncbi.nlm.nih.gov/bioassay/1159607">1159607</a>) for RMI-FANCM.</p> <p>Version 1.1.0 updates all of the data files. We standardized the SMILES in all files by generating canonical SMILES with RDKit version 2016.03.4. In addition, we removed 2845 chemicals from pria_prospective.csv.gz that were duplicates of compounds in pria_rmi_cv.tar.gz.</p>
Monte da Contenda geomagnetic prospection 2018
<p>Monte da Contenda geomagnetic prospection</p> <p>Report on the archaeological prospection of Monte da Contenda, Nossa Senhora da Graça dos Degolados, Concelho Campo Maior, Alto Alentejo, Portugal.<br> Geophysical prospection of the CRC 1266 "Scales of Transformation", Subproject F1: Climate Constraints of Western Mediterranean Socio-environmental Transformation and Potential Implications for Central Europe (https://www.sfb1266.uni-kiel.de). <br> The prospection took place in context of the “project from Antonio Valera at the Patrimino Cultural Portugal”. The prospection was carried out by the collaborating partners of Kiel University, Department of Pre- and Protohistory. The scientific question was to define the wider extend of the site documented by a first geophysical prospection and further ditches visible in aerial photos (Valera et al., 2014, fig. 5).</p> <p>Ribeiro, A.S.P., Rinne, C., and Valera, A.C., 2019. Geomagnetic investigations at Monte da Contenda, Arronches, Portugal – Results from the 2018 campaign. Journal of Neolithic Archaeology, 21, 61–73. https://doi.org/10.12766/jna.2019.3</p>
Color Classification of Extrasolar Giant Planets: Prospects and Cautions
<p>This dataset contains the reflected light models used in the analysis of<a href="http://adsabs.harvard.edu/abs/2018AJ....156..158B"> Batalha et al. 2018 (Color Classification of Extrasolar Giant Planets: Prospects and Cautions) </a>. The paper explains the full calculation of the models and the parameter space. </p> <p>The public repository <a href="https://github.com/natashabatalha/colorcolor">colorcolor</a> contains <a href="https://github.com/natashabatalha/colorcolor/tree/master/notebooks">notebooks</a> that explain how extract spectra from the database. To show it's simplicity, we post a small code snippet below. </p> <pre><code class="language-python">import colorcolor as c planet_dict = {'cloud': 0.03, 'distance': 0.85, 'gravity': 25, 'metallicity': 0.0, 'phase': 100.0, 'temp': 150} planet = c.select_model(planet_dict) wave, albedo = planet['WAVELN'], planet['GEOMALB']</code></pre> <p> </p> <p>Further explanation can be found at the GitHub repository and within the paper. </p> <p> </p> <p> </p>
Supplementary material 3: World Spider Catalog Bibliographic Data: Treatments from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
List of journal/publisher by ranked by treatment count exported from the World Spider Catalog 14 October 2014 with total treatments by source, cumulative treatments, and cumulative proportion of treatments.
Supplementary material 2: World Spider Catalog Bibliographic Data: Publications from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Ranked list of journal/publisher exported from the World Spider Catalog 14 October 2014 with total articles by source, cumulative articles, and cucmulative proportion of articles.
Audio recordings of COVID-19 positive individuals from the prospective Predi-COVID cohort study with their ageusia and anosmia status
<p>We uploaded 1636 audio recordings originating from 259 distinct participants in the prospective Predi-COVID cohort study recruited between May 2020 and May 2021. The audios have been converted from their original format into WAV files. The audio name structure integrates the participant ID, the recording date and time of the audio recording, the type of audio (Type 1: reading of a text, Type2: hold the [a] vowel), the original audio format, and the symptomatic status for ageusia and anosmia (1: symptomatic, 0: asymptomatic) as such:</p> <p>predi-covid_{participant}{recording date and time}{type of audio}{original format}{sympyomatic status}.wav</p>
Data Evolution of Blended Learning and its Prospects in Management Education
<p>Data Scopus - Article "Evolution of Blended Learning and its Prospects in Management Education"</p>
PROSPECT
<p><strong>PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics</strong></p> <p><strong>PROSPECT</strong> (PROteometools SPECTrum compendium) is a large annotated dataset leveraging the raw data from ProteomeTools.</p> <p>The dataset consists of 12 packages and has two main parquet file formats; meta-data and annotation files. Each package has one meta-data file, while the annotations file is split into multiple files per package to facilitate reading the data.</p> <p>Annotation files are sub-organized by pools, where a pool is a set of ~1k peptides measured in one analysis to keep the complexity low and the identification rate high. The annotation files are also zipped together into archives.</p> <p>In all files, a unique identifier to trace back any example to its original raw data file in ProteomeTools is provided. This identifier is the combination of the raw file ID and the scan number.</p> <p>The original ProteomeTools dataset is available on PRIDE: <a href="https://www.ebi.ac.uk/pride/archive/projects/PXD004732">Part1</a>, <a href="https://www.ebi.ac.uk/pride/archive/projects/PXD010595">Part2</a>, <a href="https://www.ebi.ac.uk/pride/archive/projects/PXD021013">Part3</a>.</p> <p> </p>
Data and Code for "Early complications after mild to moderate ischemic stroke and their impact on 3-months outcome: The prospective Stroke Unit Plus Cohort Study"
<p>This repository consists of the data and code for the publication "Early complications after mild to moderate ischemic stroke and their impact on 3-months outcome: The prospective Stroke Unit Plus Cohort Study"<br> <br> - Analysis code:<br> - Analysis.R<br> - Functions.R</p> <p>- Data:<br> - AnalysisSet in .Rdata, .csv, and .xlsx formats<br> <br> - Variable codebook in .xlsx format</p> <p>Responsibility for the upload lies with Prof. Jan Sobesky, e-mail: j.sobesky@ak-neuss.de<br> For inquiries regarding the data please contact Dr. Vince Madai, e-mail: vince_istvan.madai@bih-charite.de</p>
Prospective dynamic and probabilistic material flow analysis of graphene-based materials in Europe from 2004 to 2030
<p>This dataset is related to the following publication:</p> <p>Title: Prospective dynamic and probabilistic material flow analysis of graphene-based materials in Europe from 2004 to 2030</p> <p>Authors: Hyunjoo Hong, Florian Part, Bernd Nowack </p> <p>Submitted to the journal Environmental Science & Technology in June 2022.</p> <p>The files contain an input file and final codes and raw results of the DMFA model for graphene-based materials.</p>
Data and materials for Wallace et al (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: comparison of two prospective cohort studies v1.2
<p>This comprises the data and materials for the study: Wallace E, Moriarty F, McGarrigle C, Smith SM, Kenny RA, Fahey T. (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies. PLOS ONE 13(10): e0206201. <a href="https://doi.org/10.1371/journal.pone.0206201">https://doi.org/10.1371/journal.pone.0206201</a></p> <p>The anonymised TILDA dataset is publicly available to researchers who meet the criteria for access, at no monetary cost, from the Irish Social Science Data Archive (ISSDA) at University College Dublin (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ucd.ie%2Fissda%2Fdata%2Ftilda%2F&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=%2Fcochi1RuRtYSUa5sF9uA%2BjOOoNYIg7DPpk0mZl5D2s%3D&reserved=0">http://www.ucd.ie/issda/data/tilda/</a>) and the Interuniversity Consortium for Political and Social Research (ICPSR) at the University of Michigan (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.icpsr.umich.edu%2Ficpsrweb%2FICPSR%2Fstudies%2F34315&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=7LHSSqU8xotACMsalpAjVrV5m95DlapgQViyr4P%2FsXY%3D&reserved=0">http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315</a>). For the CPCR cohort, no provision for data sharing was included in the original ethical approval and participant consent form. As a minimal data set necessary to replicate the present study could not be deidentified due to the large number of demographic variables considered, a synthetic version of the study dataset was produced using the synthpop package in R: <a href="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fsynthpop%2Findex.html&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128229884&sdata=j3If%2FNe%2F1eGsGAt9hyg3ICMqmLec4aOrjRVKppaRSFU%3D&reserved=0">https://cran.r-project.org/web/packages/synthpop/index.html</a>. This dataset and the analytical code for the present study are presented here. Code developed on the synthetic data can be sent to frankmoriarty@rcsi.ie or <a href="mailto:enquiries.cpcr@rcsi.ie">enquiries.cpcr@rcsi.ie</a> to be run on the original data.</p> <p>v1.2 includes a more detailed description of how the dataset was synthesised.</p>
Incidences of community onset severe sepsis, Sepsis-3 sepsis, and bacteremia in Sweden – a prospective population-based study.
<p>Sepsis epidemiology study 2011-2012 Sweden</p> <p>Ljungström, Lars; Andersson, Rune; Jacobsson, Gunnar</p> <p> </p> <p>Data collected during the prospective "Sepsis Skaraborg study" performed 2011-2012 in the western region of Sweden. Adult patients admitted to the emergency department for suspicion of a community-onset sepsis were evaluated. The study was approved by the Regional Ethical Review Board of Gothenburg (376-11). The file includes data for patient characteristics, vital signs, biomarker measurements, cases of bacteremia, and patient classifications using Sepsis-2 and Sepsis-3 criteria.</p>
Data and code for "First Principles Assessment of ZnTe and CdSe as Prospective Tunnel Barriers at the InAs/Al Interface"
<p>This is the complete release of data and code for publication "First Principles Assessment of ZnTe and CdSe as Prospective Tunnel Barriers at the InAs/Al Interface", <a href="https://chemrxiv.org/engage/chemrxiv/article-details/66ffec1acec5d6c1422377f8" target="_blank" rel="noopener">10.26434/chemrxiv-2024-w17ws-v2</a></p> <p>Contains VASP inputs (POSCAR, KPOINTS, INCAR) and partial data (large VASP output data files not included), post processed numpy files for plotting, python and jupyter scripts for processing and plotting, and workflows. Jupyter scripts that lead to figures in publication are labeled with figure number. Requires python packages of "<a href="https://github.com/caizefeng/vaspvis.git">https://github.com/caizefeng/vaspvis.git</a>" and "https://github.com/DerekDardzinski/OgreInterface" to plot and make structures respectively.</p> <p>Zip files each contain the different sections for the data, with bulk calculations, single material slab calculations, SM-SM bilayers, SM-Al bilayers, ZnTe and CdSe trilayers, interface matching and optimization, and OGRE structure provided.</p>
ScienceDex guides
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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.