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766 results for “Baseline”
Baseline glucocorticoids alone do not predict reproductive success across years but in interaction with enzymatic antioxidants
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A baseline for the genetic stock identification of Atlantic herring, Clupea harengus, in ICES Divisions 6.a, 7.b-c
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Data from: harnessing the power of regional baselines for broad-scale genetic stock identification: a multistage, integrated, and cost-effective approach
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Data from: Anthropogenic noise exposure over development increases baseline auditory activity and decision-making time in adult crickets
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Baseline Water Quality Monitoring to support restoration efforts in the Cache Slough Complex, 2013-2021.
The Cache Slough Complex is an ecologically significant area, with many restoration efforts of various kinds set to take place within its boundaries. These efforts which are tied to regulations set forth by the Biological Opinion, will have unknown impacts to in‐stream water quality. For this reason, the Department of Water Resources’ Water Quality Assessment (WQA) unit developed a monitoring program to establish baseline water quality measurements to help understand the environmental impact of these restoration projects and ensure pre‐restoration water quality data is available to compare against post-restoration water quality. To do so, data was collected at various sites that represent all major inputs and outflows within the Cache Slough Complex from September 2013 to December 2021.
Tree recruitment data for the Hubbard Brook Valley Plots, baseline data collected 1995 - 1998
The valley-wide plots are a grid of 431 sites along fifteen N–S transects established at 500-m intervals spanning the entire Hubbard Brook Valley. Multiple above- and below- ground attributes were measured between 1995 and 1998. This dataset includes tree recruitment data; soil data and other measurements are presented in separate datasets. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Baseline Spatial Variability Study at the Kellogg Biological Station, Hickory Corners, MI (1988)
Dataset Abstract A spatial variability study conducted across the LTER Main Site area (45 ha) at KBS prior to dividing the site into 1-ha experimental plots. During the 1988 growing season a stratified unaligned sampling scheme was used to collect 400-600 geo-referenced samples across the site (uniformly planted to a single variety of soybeans) for: geomorphological characteristics (microtopography, soil horizon depths, bulk density, texture); soil chemical characteristics (pH, NO3, NH4, total C, total N, moisture, inorganic P, trace metals); soil biological characteristics (N mineralization potentials, microbial biomass C, microbial biomass N, fungal/bacterial ratios, nematodes and other soil invertebrates; seed bank size); plant weed species abundance, weed biomass at peak standing crop); and insect characteristics (major pest and predator species). Most soil samples were taken before crop emergence, plant phenology samples were taken throughout the growing season, biomass samples were taken at physiological maturity, and insect samples were taken continuously. Dried soil and plant samples are archived for potential future analysis. original data source http://lter.kbs.msu.edu/datasets/6
Chronos-baselines
<p>The baseline CPU implementations that were used to evaluate Chronos performance.</p>
voiceHome-2 corpus - automatic speech recognition baseline - acoustic model
<p>This entry contains the acoustic model used for evaluation of distant-microphone speech recognition performance in:</p> <p>Nancy Bertin, Ewen Camberlein, Romain Lebarbenchon, Emmanuel Vincent, Sunit Sivasankaran, Irina Illina, Frédéric Bimbot<br> <a href="https://hal.inria.fr/hal-01923108">VoiceHome-2, an extended corpus for multichannel speech processing in real homes</a><br> <em>Speech Communication</em>, 2019, 106, pp.68-78. <a href="https://dx.doi.org/10.1016/j.specom.2018.11.002">⟨10.1016/j.specom.2018.11.002⟩</a></p>
A Baseline of Terrestrial Freshwater and Nitrogen Fluxes to the Southern California Bight, USA
<p>Terrestrial freshwater discharges into the Southern California Bight (SCB) contains nutrient and carbonate system constituents that make the region susceptible to eutrophication. This respository contains comprehensive time series discharge and constituent data of point and non-point sources, which consist of ocean outfalls, inland wastewater treatment plants, and rivers, to the SCB from the past twenty years and more. Constituents include nitrogen (N), phosphorus (P), carbon (C), iron (Fe), silica (Si) and carbonate system parameters. Many local and state government and non-government organization databases were accessed to construct this data set. In-house data that was previously not publicly available are published here as well. Predictive models and expert analysis addressed unmonitored sources and data gaps. </p> <p>The spreadsheet 'rivers_1997_2017_daily.xlsx' contains the data from 1997 to 2017 for 75 rivers alphabetically. River constituents include discharge volume, ammonium, nitrate, dissolved oxygen, temperature, pH, total N, total P, phosphate, organic P, total organic C, organic N, total Fe, alkalinity, salinity, dissolved Fe, total inorganic C, and silicate.<br> File 'major_potw_1971_2017.xlsx' contains data from 1971 to 2017 for the four large POTWs in the SCB, of which data before 2007 was not publicly available until now. Constituents in this file are discharge volume, ammonium, nitrate, nitrite, dissolved oxygen, temperature, biological oxygen demand, pH, TP, phosphate, OP, TOC, ON, TN, total Fe, silicate, alkalinity, salinity, and dissolved Fe. <br> The 'minor_potw_1997_2017.xlsx' contains data from 1997 to 2017 for the 19 minor POTWs alphabetically. Data from year 2000 was not publicly available until now. Constituents in this file are discharge volume, ammonium, nitrate, nitrite, dissolved oxygen, temperature, biological oxygen demand, pH, TP, phosphate, OP, TOC, ON, TN, total Fe, silicate, alkalinity, salinity, and dissolved Fe. <br> The 'inland_POTW.xlsx' file contains averaged data from the year 2009, unless otherwise noted, for the 18 inland POTWs. The region and city given for each plant. The discharge volume, TN, TP, dissolved inorganic N, and dissolved inorganic P are listed for each plant. <br> The 'natural_rivers.xlsx' file contains summarized annually averaged input of natural riverine sources for each region of the SCB. The approximate watershed area of each region is given and constituents in this file are TN, TP, DIN, and DIP.</p>
SiEUGreen - Dataset for Baseline study including key indicators and development of a typology
<p>Dataset used for the report (D1.2) presenting the baseline study including key indicators and development of a typology. develops a theoretical and methodological framework that sustains a coherent Urban Agriculture (UA) typology that covers the specificities of the different SiEUGreen showcases. Data contains qualitative and quantitative data in an excel sheet and docx files. The purpose of the dataset is to be used to create a comprehensive conceptual framework about UA including a comparative perspective across different institutional settings and cultures. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning.</p>
Data from: Evaluation of a single nucleotide polymorphism baseline for genetic stock identification of Chinook Salmon (Oncorhynchus tshawytscha) in the California Current Large Marine Ecosystem
Chinook Salmon is an economically and ecologically important species, and populations from the west coast of North America are a major component of fisheries in the North Pacific Ocean. The anadromous life history strategy of this species generates populations (or stocks) that typically are differentiated from neighboring populations. In many cases, it is desirable to discern the stock of origin of an individual fish or the stock composition of a mixed sample to monitor the stock-specific effects of anthropogenic impacts and alter management strategies accordingly. Genetic stock identification (GSI) provides such discrimination, and we describe here a novel GSI baseline composed of genotypes from more than 8000 individual fish from 69 distinct populations at 96 single nucleotide polymorphism (SNP) loci. The populations included in this baseline represent the likely sources for more than 99% of the salmon encountered in ocean fisheries of California and Oregon. This new genetic baseline permits GSI with the use of rapid and cost-effective SNP genotyping, and power analyses indicate that it provides very accurate identification of important stocks of Chinook Salmon. In an ocean fishery sample, GSI assignments of more than 1000 fish, with our baseline, were highly concordant (98.95%) at the reporting unit level with information from the physical tags recovered from the same fish. This SNP baseline represents an important advance in the technologies available to managers and researchers of this species.
Bermuda Reef Ecosystem Assessment and Mapping Programme: Baseline Coral Reef and Fish data
<p>BREAM: Bermuda Reef Ecosystem Analysis and Mapping Programme, mapped all coral reefs across the Bermuda platform in 2003. We then surveyed over 200 sites for benthic and fish assemblages using the AGRRA.org v4 methods, with local modifications. See www.bermudaBREAM.org for more information about the baseline monitoring work, or to contact us for additional data and information.</p> <p>Contributors:</p> <p>Research Associates:</p> <p>Jessie Murdoch MSc; Robert Fisher, BFA; Gretchen Goodbody-Gringley, PhD, Matthew Strong BSc; Struan R. Smith PhD</p> <p>Undergraduate Interns</p> <p>Taylor Gorham, Anke Moesinger, Molly Sinnott, D’mitri Williams</p> <p>Graduate Interns</p> <p>Gerardo Toro-Farmer, Mike Colella, Brittany Huntington, Katherine Yates</p> <p>Volunteers</p> <p>Ian Murdoch; Judie Clee; Teddy Gosling; Gil Nolan; Lynn Wolfe</p> <p>RV Endurance Captain: Tim Hasselbring</p> <p> </p>
Myotis myotis baseline trajectory
<p>Myotis myotis baseline trajectory Myotis myotis baseline trajectory x(t), y(t), z(t)</p>
Geographic, seasonal and ontogenetic variations of δ15N and δ13C of Japanese sardine explained by baseline variations and diverse fish movements
<p><span>Understanding and predicting variability in the stable isotope ratios of nitrogen and carbon (δ15N and δ13C, respectively) of small pelagic fish is crucial to enable isotopic studies of a variety of marine predators that feed on them. However, because the isotope ratios reflect plastic feeding habits and fish migration in addition to baseline variation, their predictions require a mechanistic understanding of how each factor contributes. Here, we investigated the habitat-wide variability of δ<sup>15</sup>N and δ<sup>13</sup>C of the Japanese sardine <em>Sardinops melanostictus</em> in the western North Pacific and its marginal seas (the East China Sea and the Sea of Japan). By combining this with the archived particulate organic matter (POM) dataset as a baseline, we aimed to understand how ecological processes and baseline fluctuations affect isotope ratios of the sardine. Both δ<sup>15</sup>N and δ<sup>13</sup>C of sardine showed significant geographical and seasonal trends, with higher values in southern nearshore areas, including the Seto Inland Sea, intermediate values in marginal seas and lower values in Pacific offshore areas. As the variations were largely consistent with the geographic and temporally integrated seasonal trends of isotope ratios of POM, respectively, the baseline variations are the main determinant of sardine isotope composition. The trophic levels of sardine are therefore not significantly different between regions, with possible minor increases in the southern nearshore area. Adults showed less geographic variation than larvae and juveniles, likely due to slower turnover periods and wider migration ranges. Although larval and juvenile isotope ratios in marginal seas mostly reflected the local baseline, those in the Pacific offshore often reflected the baseline in the neighbouring southern region, suggesting contrasting juvenile movements between regions. Our results suggest that the δ<sup>15</sup>N and δ<sup>13</sup>C of Japanese sardine strongly reflect baseline variations, but can also be influenced by life-stage- and region-dependent fish movements, thereby demonstrating both the possibility and difficulty of mechanistically modelling the isoscapes of lower trophic level species.</span></p>
Sampling results for InterDiff and other baseline methods
<p>Sampling results for evaluating the Interactions recovering accuracy of InterDiff and baseline methods</p>
baseline_predict
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Outputs from new LBA simulations. Part I: Baseline case
<p>MIMICA model outputs for new LBA simulations. The case, model configuration and output files are all described in the attached TRANSITION_setup.pdf file. This is the first of a three part dataset containing only results from the baseline simulations (see below for a very quick overview of all data).</p> <p>Three sets of data outputs are available: One corresponding to the original, idealized LBA case, one in which cold pools have been suppressed by nudging temperature and moisture tendencies below cloud base(_nocp extension), and one in which the fixed surface fluxes have been replaced by interactive fluxes (_sst extension). For each set of simulations, five horizontal grid spacings were employed to test the sensitivity of the results to resolution (specified as file name extensions): 1.6 km (64 grid points), 800 m (128 grid points), 400 m (256 grid points), 200 m (512 grid points) and 100 m (1024 grid points). Finally, for each case, a series of various output files are available, including time series of domain averaged quantities (T_S), time series of horizontally averaged quantities (profiles_tot.nc), and two-dimensional horizontal slices extracted at various altitudes (slice_z_XXXX.nc). Note that all files present except T_S follow the NetCDF standard.</p>
Data from: environmental DNA reveals temporal variation in mesophotic reefs of the Humboldt upwelling ecosystems of central Chile: towards a baseline for biodiversity monitoring of unexplored marine habitats
<p>Temperate mesophotic reef ecosystems (TMREs) are among the least known marine habitats. Information on their diversity and ecology is geographically and temporally scarce, especially in highly productive large upwelling ecosystems. Lack of information remains an obstacle to understanding the importance of TMREs as habitats, biodiversity reservoirs and their connections with better-studied shallow reefs. Here, we use environmental DNA (eDNA) from water samples to characterize the community composition of TMREs on the central Chilean coast generating the first baseline for monitoring the biodiversity of these habitats. We analyzed samples from two depths (30 and 60m) over four seasons (spring, summer, autumn, and winter) and at two locations approximately 16 km apart. We used a panel of three metabarcodes, two that target all eukaryotes (18S rRNA and mitochondrial COI) and one specifically targeting fishes (16S rRNA). All panels combined encompassed eDNA assigned to 42 phyla, 90 classes, 237 orders, and 402 families. The highest family richness was found for the phyla Arthropoda, Bacillariophyta and Chordata. Overall, family richness was similar between depths but decreased during summer, a pattern consistent at both locations. Our results indicate that the structure (composition) of the mesophotic communities varied predominantly with seasons. We analyzed further the better-resolved fish assemblage and compared eDNA with other visual methods at the same locations and depths. We recovered eDNA from nineteen genera of fish, six of these have also been observed on towed underwater videos, while thirteen were unique to eDNA. We discuss the potential drivers of seasonal differences in community composition and richness. Our results suggest that eDNA can provide valuable insights for monitoring TMRE communities but highlight the necessity of completing reference DNA databases available for this region.</p>
Baseline model runs along with detailed result files presented in "pepMTL"
<p>Within Article "pepMTL: a synchronous multi-properties predictor for peptides enabled by multi-task framework and pre-trained protein language model", there exists a collection of executable files and detailed records of the operation results pertaining to the pepMTL model along with several benchmark models in the context of Retention Time (RT), Collision Cross Section (CCS), and Tandem Mass Spectrometry (MS/MS) methodologies. This compendium encompasses the source code for both the benchmark models and the pepMTL model itself—altered as necessary to accommodate the benchmark datasets—the specific datasets designed to execute these models effectively, the raw output files resulting from three parallel runs of each model, and corresponding log files meticulously documenting the execution history. Readers can garner extensive raw data concerning the direct comparisons between the pepMTL model and the array of benchmark models across the RT, CCS, and MS/MS domains as presented in the article. Furthermore, they have the ability to retrain these benchmark models on the designated datasets using the optimized code provided by the authors.<br>这是文章 "pepMTL: a synchronous multi-properties predictor for peptides enabled by multi-task framework and pre-trained protein language model"中,pepMTL模型以及RT、CCS、MS/MS方面各个基准模型的运行文件以及详细运行结果的记录文件。该文件中包含了各个基准模型以及pepMTL模型运行的代码(有必要的话会经过作者的修改以适应基准数据集)、适应模型运行的基准数据集、模型平行运行三次后产生的原始结果文件以及运行日志记录文件。读者可以从这些数据中获取文章中关于pepMTL在RT、CCS、MS/MS方面与各个基准模型进行对比的详细原始信息,并可以通过运行作者优化后的代码将这些基准模型在基准数据集上进行模型训练。<br><br></p> <p> </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.