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38 results for “contiguous united states”
Harmonized Palmer Drought Severity Indices throughout the Contiguous United States for HydroBASINS basins
In times of a changing hydroclimate and growing human population, there is a need to assess how various climatic and demand conditions influence water availability on the landscape. Tendency for drought conditions is a prime example of a key hydroclimatic metric that is useful for understanding water retention in the surrounding landscape. However, merging drought climatological data with co-located aquatic data is challenging. To facilitate national-scale analyses of basin-level drought conditions (i.e., Palmer Drought Severity Index; PDSI) with co-located water quality data, we present aggregated PDSI data for the contiguous United States. Data are aggregated using the HydroBASINS basin shapefiles. HYBAS_ID is retained to enable merging with HydroBASINS parent datasets.
Harmonized Soil Organic Carbon and Phosphorus Data for the Contiguous United States
Soil organic carbon (SOC) and soil phosphorus can strongly influence adjacent water quality by introducing nutrients into aquatic ecosystems and also altering the light environment of those ecosystems. However, national-scale data are uncommon, and even when available, they are usually not aggregated in a manner that is expeditiously merged with basin-level data. To facilitate national-scale analyses of soil data with co-located water quality data, we present aggregated SOC and soil phosphorus data for the Contiguous United States. Data are aggregated using the HydroBASINS basin shapefiles. HYBAS_ID is retained to enable merging with HydroBASINS parent datasets.
Bridging data silos to holistically model plant macrophenology data, Contiguous United States, 2013-2021
Phenological responses to climate change can have dire implications for ecosystem functions. Despite the availability of diverse datasets (e.g., herbarium specimens, community science initiatives, observatory networks, and remote sensing), holistic modeling of plant events across scales remains limited due to fragmented data and disciplinary silos. This is an important topic that has been overdue for attention. Here we use two different plant phenological datasets, herbarium and USA-NPN (includes NEON), to look at the overall flowering period of Acer rubrum between 2013-2021, distributed across the Contiguous United States. We harmonize the data to demonstrate its use to leverage the spatial and biological organizational scales at which these data are captured. Both datasets include phenophase status (presence or absence) across the flowering season (day of year). These harmonized data exemplify their usefulness to holistically model plant phenology using an integrated species distribution model framework, while accounting for the heterogeneity across data types (presence-only, presence-absence). These data can be used to explore general questions about intraspecific synchrony of Acer rubrum flowering phenology across populations, or questions with coarser scales of interest (e.g., community level, global scales).
Lake Shoreline in the Contiguous United States
There are millions of lakes, ponds and reservoirs in the United States. Existing datasets are large and unweildy. With this data product, derived from the US NHD (downloaded Jan 2013), we summarize at a high level the distribution of lakes across the US.
Concentration of daily precipitation in the contiguous United States
<p>The contiguous US exhibits a wide variety of precipitation regimes, first, because of the wide range of latitudes and <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/altitude">altitudes</a>. The physiographic units with a basic meridional configuration contribute to the differentiation between east and west in the country while generating some large <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/continental-interior">interior continental</a> spaces. The frequency distribution of daily precipitation amounts almost anywhere conforms to a negative exponential distribution, reflecting the fact that there are many small daily totals and few large ones. Positive exponential curves, which plot the cumulative percentages of days with precipitation against the cumulative percentage of the rainfall amounts that they contribute, can be evaluated through the Concentration Index. The Concentration Index has been applied to the contiguous United States using a gridded climate dataset of daily precipitation data, at a resolution of 0.25°, provided by CPC/NOAA/OAR/Earth System Research Laboratory, for the period between 1956 and 2006. At the same time, other rainfall indices and variables such as the annual coefficient of variation, seasonal rainfall regimes and the probabilities of a day with precipitation have been presented with a view to explaining spatial CI patterns. The spatial distribution of the CI in the contiguous United States is geographically consistent, reflecting the principal physiographic and climatic units of the country. Likewise, linear correlations have been established between the CI and geographical factors such as latitude, <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/longitude">longitude</a> and altitude. In the latter case the Pearson <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/correlation-coefficient">correlation coefficient</a> (r) between this factor and the CI is −0.51 (<em>p</em>-value < 0.001). For annual probability of days with precipitation and the CI there is also a significant and negative correlation, <em>r</em> = −0.25 (<em>p</em>-value < 0.001).</p> <p> </p> <p>Fig. 8. Concentration Index values (1956–2006).</p> <p>File: ci_raster_USA.tif (geoTIFF)</p> <p>NOTE: After the publication of the research article we calculate the Concentration Index with the <a href="http://www.prism.oregonstate.edu/">PRISM</a> climate data set, which has a higher resolution with 4km (PRISM Climate Group, Oregon State University). Nevertheless, the temporal coverage is limited to the period from 1981 to 2017.</p> <p>File: CI_PRISM_USA.tif (geoTIFF)</p> <p> </p> <p>Fig. 4. Seasonal rainfall regimes (1956–2006) (P, spring, S, summer, A, autumn, W, winter)</p> <p>File: 1) pulvio_regimes_raster_USA.tif (geoTIFF); 2) pulvio_regimes_id.csv (clasification for regimes)</p> <pre>Map projection details:</pre> <p>EPSG:2163; proj4: "+proj=laea +lat_0=45 +lon_0=-100 +x_0=0 +y_0=0 +a=6370997 +b=6370997 +units=m +no_defs"</p>
Online Data for 'The role of wildfires in the interplay of forest carbon stocks and wood harvest in the contiguous United States during the 20th century'
<p>This data file (.xlsx) contains all data used to create table 1, figures 1a-d, figure 2, figure S1, S2, and S5 of the study "The role of wildfires in the interplay of forest carbon stocks and wood harvest in the contiguous United States during the 20th century". Main article is available under: https://doi.org/10.1029/2023GB007813</p>
Freshwater insect occurrences and traits for the contiguous United States, 2001 - 2018
Freshwater insects comprise 60% of the diversity of freshwater animals and are essential indicators of ecosystem health. Yet our knowledge of the distribution of freshwater insect diversity in the United States is incomplete because we lack comprehensive data on freshwater insect distributions and traits at a continental scale. We fill this knowledge gap by presenting a database of occurrence records and functional traits for freshwater insects in the contiguous US. We compiled over 2.05 million genus occurrence records for 932 genera in the major freshwater insect orders, at 51,044 stream locations sampled between 2001 and 2018 by federal and state biological monitoring programs. We assembled life history, dispersal, morphology, and ecology traits from existing databases, scientific books, and the primary literature, and present traits and trait affinities for 1,072 insect genera. Our freshwater insects CONUS database can be used to map freshwater insect taxonomic and functional diversity, and when paired with environmental data, will provide a powerful resource for quantifying how the environment shapes diversity patterns as well as taxon-specific distributions across the contiguous US.
Terrestrial water storage changes across the contiguous United States from GPS and GRACE, 2007–2017
<p>In this dataset, we provide terrestrial water storage anomalies (TWSA) from 2007-2017 at weekly time scales derived using Global Positioning System (GPS) displacements, further constrained by lower-resolution TWSA observations from the Gravity Recovery and Climate Experiment (GRACE).</p> <p>There are six fields in the HDF5 product provided here:</p> <ol> <li>'/cmwe', which provides terrestrial water storage in units of cm. of water equivalent.</li> <li>'/latitude', latitude at the center of each 0.5 degree grid cell</li> <li>/longitude', longitude at the center of each 0.5 degree grid cell</li> <li>'/time', time in days since January 1st, 2007. The resolution of our time series is weekly, and the first day in our record is January 3rd, 2007.</li> <li>'/signal_to_noise_ratio', the variance of the signal divided by variance of noise for each grid cell in the dataset. Please read the supplementary information document in the paper below for more details.</li> <li>'/uncertainty', 95% confidence interval for each grid cell in the dataset. Please read the supplementary information document in the paper below for more details.</li> </ol> <p>As a condition of using these data, we request that you acknowledge the authors of this data set by citing the following peer-reviewed publication. </p> <p>Adusumilli, S., Borsa, A. A., Fish, M. A., McMillan, H. K., & Silverii, F. (2019). A decade of water storage changes across the contiguous United States from GPS and Satellite Gravity. <em>Geophysical Research Letters</em>, 46, 13006-13015. <a href="https://doi.org/10.1029/2019GL085370">https://doi.org/10.1029/2019GL085370</a></p>
Modeled maximum and mean lake depths for the contiguous United States
Depth regulates many attributes of aquatic ecosystems, but relatively few lakes are measured, and existing datasets are biased toward large lakes. To address this, we used a large dataset of maximum (Zmax; n = 16,831) and mean (Zmean; n = 5,881) depth observations to create new depth models, focusing on lakes < 1,000 ha. We then used the models to characterize patterns in lake basin shape and volume. We included terrain metrics, water temperature and reflectance, polygon attributes, and other predictors in a random forest model. Our final models generally outperformed existing models (Zmax R^2 = 0.35; RMSE = 8.1 m and Zmean R^2 = 0.36; RMSE = 3.0 m). Our models show that lake depth followed a Pareto distribution, with 2.8 orders of magnitude fewer lakes for an order of magnitude increase in depth. Additionally, despite orders of magnitude variation in surface area, most size classes had a modeled modal maximum depth of ~5 m. Concave (bowl-shaped) lake basins represented 79% of all lakes, but lakes were more convex (funnel-shaped) as surface area increased. Across the conterminous US, 9.8% of all lake water was within the top meter of the water column, and 48% in the top 10 m. Excluding the Laurentian Great Lakes, we estimate the total volume in the conterminous US is 1,068 to 1,298 km3, depending on whether Zmax or Zmean was modeled. Lake volume also exhibited substantial geographic variation, with high volumes in the upper Midwest, Northeast, and Florida and low volumes in the southwestern US.
XIS: A daily spatiotemporal machine-learning model for environmental exposures in the contiguous United States
<p>These Parquet files contain the outputs used for many analyses and plots in the linked papers. For temperature and humidity, the full sets of observations for cross-validation aren't included because we used restricted-use MADIS data.</p>
Land use and land cover changes in the contiguous United States from 1630 to 2020
<p>Through integrating multi-source data including high-resolution remote sensing image-based land use and land cover (LULC) data, model-based land use products, and historical land archives, we reconstructed historical LULC at an annual time scale and 1 km x 1 km resolution in the contiguous United States (CONUS) from 1630 to 2020. Compared to other historical LULC datasets, our data can capture the major characters of LULC as well as provide more accurate information with higher spatial and temporal resolution. The LULC data can be used for regional studies in a wide range of topics including LULC impacts on the ecosystem, biodiversity, water resource, carbon and nitrogen cycles, and greenhouse gas emissions.</p>
Remotely sensed crown nutrient concentrations modulate forest reproduction across the contiguous United States
<p>Global forests are increasingly lost to climate change, disturbance, and human management. Evaluating forests' capacities to regenerate and colonize new habitats has to start with the seed production of individual trees and how it depends on nutrient access. Studies on the linkage between reproduction and foliar nutrients are limited to a few locations and few species, due to the large investment needed for field measurements on both variables. We synthesized tree fecundity estimates from the Masting Inference and Forecasting (MASTIF) network with crown nutrient concentrations from hyperspectral remote sensing at the National Ecological Observatory Network (NEON) across the United States. We evaluated the relationships between seed production and foliar nutrients for 56,544 tree-years from 26 species at individual and community scales. We found a prevalent association between high foliar phosphorous (P) concentration and low individual seed production (ISP) at the continental scale. With-species coefficients to nitrogen (N), potassium (K), calcium (Ca), and magnesium (Mg) are related to species differences in nutrient demand, with distinct biogeographic patterns. Community seed production (CSP) decreased four orders of magnitude from the lowest to the highest foliar P. This first study on hyperspectral imagery indicates promise for future monitoring of reproductive potential. The fact that both ISP and CSP decline at high foliar P levels has immediate applications in improving forest demographic and regeneration models by providing more realistic nutrient effects at multiple scales.</p>
Turtle Shell Rattle Use by Indigenous Peoples of the Contiguous United States: Ethnographic Documentation
<p>**When using this data and information, please cite all of the following:</p> <blockquote> <p>Gillreath-Brown, Andrew. 2019. Creation to Rhythm: An Ethnographic and Archaeological Survey of Turtle Shell Rattles and Spirituality in the United States. Journal of Ethnobiology 39(3):425–444. <a href="http://doi.org/10.2993/0278-0771-39.3.425">http://doi.org/10.2993/0278-0771-39.3.425</a></p> <p>Gillreath-Brown, Andrew. 2019*. Turtle Shell Rattle Use by Indigenous Peoples of the Contiguous United States: Ethnographic Documentation. Version 1. Zenodo. Available at: <a href="https://doi.org/10.5281/zenodo.2545989">https://doi.org/10.5281/zenodo.2545989</a>. Date of use: day month year.**</p> <p>*Please update year and DOI if you cite a newer version. The DOI changes with each version in Zenodo, or you can use the DOI to cite all versions.</p> <p>**<em>Example:</em> Date of use: 17 April 2019.</p> </blockquote> <p><strong>OVERVIEW OF CONTENTS</strong></p> <p>The purpose of this work is to summarize information from published and unpublished ethnographies that document how Indigenous Peoples of the contiguous United States used—and, in some cases, continue to use—turtle shell rattles. The data contained herein have been used to suggest and support interpretations of turtle shell rattle remains recovered from the archaeological record across the United States.</p> <p>This compendium draws on an extensive database compiled and maintained by the author. The compendium lists the relevant ethnographic references; it gives the state and region of the United States and the Indigenous group that use(d) turtle shell rattles; it identifies the turtle shell rattle type and the various chelonian taxa by both their scientific and common names; and it describes the documented uses for turtle shell rattles for specific ethnic groups. I intend this compendium to serve as a summary of, and a guide to, the extensive ethnographic literature, which I encourage the reader to consult for additional, more-detailed information, as well as to understand the unique context.</p> <p>I used several criteria for deciding which information to include in the compendium. First, I was interested in what Indigenous Peoples used turtle shell rattles or turtle substitute rattles for (see Gillreath-Brown 2019) across the United States. I also try to include alternate or contemporary preferred names of the Native American groups in addition to the group name used in the literature. Second, I include primary ethnographic references in addition to other supporting references. In addition to providing the references in a word document, references are also compiled in the author’s Paperpile account, which is publically available at <a href="https://paperpile.com/shared/KU55Rg">https://paperpile.com/shared/KU55Rg</a>. Third, I was also interested in the type of rattle that was used and what turtle taxa (given by its scientific name according to Turtle Taxonomy Working Group 2017) was used in the construction of the rattle(s). I also provide the common name for scientific names. Fourth, I provide a use category for the rattles, which is comprised of ritual/ceremonial, medicinal/healing, and myth/creation. Finally, an ethnographic description and additional comments are provided to give further context for the turtle shell rattles and to further expand on the use categories. For example, for a use category of ritual/ceremonial, the description and comments field will generally list the dances or ceremonies where turtle shell rattles were used.</p> <p>A goal of the compendium is to aid researchers in their interpretations of archaeological turtle shell rattle remains, as well as to understand and document Indigenous music. Although turtle shell rattles have been present in the United States since the Archaic Period (ca. 8000–1000 BC), the specific uses of turtle shell rattles vary from group to group and over time. Some Indigenous Peoples may not have traditionally used turtle shell rattles or at least not for specific dances (e.g., Stomp Dance). For example, Howard and Kurath (1959:6) explain that the Ponca (of the midwestern United States) likely borrowed the stomp dance from eastern groups. Many Indigenous Peoples were forced from their traditional homelands and were placed in close proximity to other Indigenous Peoples, such as in the state of Oklahoma, that they may not have interacted with the past. Additionally, the Seminoles of Oklahoma may have learned about the use of condensed-milk can rattles as a substitute for turtle shell rattles from the Natchez-Cherokees around 1920 in Gore, Oklahoma (Howard and Lena 1984:117).</p> <p>Turtle shell rattle type is defined by the author and is presented in Gillreath-Brown 2019 (see also Gillreath-Brown and Peres 2017, 2018). In published literature, “turtle shell rattle” is phrased many different ways including: turtle shell rattle, terrapin carapace rattles, turtle carapace rattle, shell shakers, terrapin rattle, turtle shell shakers, terrapin shell rattle, turtle shell shackles, tortoise shell rattle, turtle shell leggings, and tortoise rattle (see Gillreath-Brown 2019: Supplemental Content, Supplementary Table 4). Additionally, sometimes turtle shell is hyphenated (i.e., turtle-shell). Tortoise and terrapin are also used as substitutes for “turtle.”</p> <p>Download the current version of the excel file below.</p> <p>References cited in the description above are in the word document “References Cited” and in Paperpile, except for Turtle Taxonomy Working Group (2017).</p> <p>Turtle Taxonomy Working Group [Rhodin AGJ, Iverson JB, Bour R, Fritz U, Georges A, Shaffer HB, et al]. 2017. Turtles of the world: Annotated checklist and atlas of taxonomy, synonymy, distribution, and conservation status. 8th ed. In: Rhodin AGJ, Iverson JB, van Dijk PP, Saumure RA, Buhlmann KA, Pritchard PCH, et al, editors. Conservation biology of freshwater turtles and tortoises: A compilation project of the IUCN/SSC tortoise and freshwater turtle specialist group. Chelonian Research Monographs 2017;7: 1–292. <a href="https://doi.org/10.3854/crm.7.checklist.atlas.v8.2017">https://doi.org/10.3854/crm.7.checklist.atlas.v8.2017</a></p> <p><strong>Acknowledgments</strong></p> <p>This publication would not have been possible without the support of many people and institutions. I also thank the editors and reviewers for the original article (DOI) that was published in the <em>Journal of Ethnobiology </em>Special Issue, “Ethnobiology Through Song.” I also thank my colleague Dr. Tanya Peres, who I have worked extensively with on this topic.</p> <p><em>Andrew Gillreath-Brown</em> is currently a PhD Candidate in the Department of Anthropology at Washington State University.</p>
Vulnerability of estuarine systems in the contiguous United States to water quality change under future climate and land-use
<p>Changes in climate and land-use and land-cover (LULC) are expected to influence surface water runoff and nutrient characteristics of estuarine watersheds, but the extent to which estuaries are vulnerable to altered nutrient loading under future conditions is poorly understood. The present work aims to address this gap through the development of a new vulnerability assessment framework that accounts for (1) estuarine exposure to projected changes in total nitrogen (TN) and total phosphorus (TP) loads as a function of LULC and climate change under several scenarios to altered nutrient loads, (2) sensitivity (i.e., how responsive estuaries are to altered nutrient loads), and (3) adaptive capacity (i.e., how the socio-ecological system can use existing resources to reduce the impacts associated with increased exposure). The framework was applied to 112 estuaries and their contributing watersheds across the contiguous U.S., specifically to look at regional variability in estuarine vulnerability to nutrient loading. Study findings revealed that the largest increases in estuarine nutrient loads are expected in the North and South Atlantic regions and eastern Gulf of Mexico, while the lowest increase is expected in the North and South Pacific regions and the western Gulf of Mexico. However, the North Atlantic and the South Pacific had the highest adaptive capacity, which could potentially counteract the effects of LULC and climate change on nutrient loads. Our findings illustrate the benefits of integrating natural and socio-ecological factors to identify opportunities to develop adaptation plans and policies to mitigate ecological degradation in vitally important estuaries. A<a href="https://lisemontefiore.shinyapps.io/estuarine_vulnerability/"> web-based application</a> has been developed to visualize and download the data.</p>
Remotely sensed crown nutrient concentrations modulate forest reproduction across the contiguous United States
Open the record for dataset details and reuse information.
Climate change scenarios forecast increased drought exposure for terrestrial vertebrates in the contiguous United States
Open the record for dataset details and reuse information.
Vulnerability of estuarine systems in the contiguous United States to water quality change under future climate and land-use
Open the record for dataset details and reuse information.
Techno-economics of Geothermal Power in the Contiguous United States Under Baseload and Flexible Operations (Dataset)
<p>This dataset was created as part of a project that is undergoing journal peer-review. Here is the abstract:</p> <p> </p> <p>As geothermal technology continues to gain momentum, it becomes increasingly essential for stakeholders to assess the economic feasibility of geothermal power projects when integrated into electricity markets. This study aimed to evaluate the techno-economic viability of identified and undiscovered hydrothermal systems across the contiguous United States. Multiple data and methods were developed and integrated to model the lifecycle techno-economics of geothermal projects at hourly resolution. Additionally, flexible operations through wellhead throttling were evaluated to estimate the potential improvement compared to business-as-usual power plant operations. A total of 3,632 and 17,789 MWe of identified and undiscovered hydrothermal resources, respectively, were found to be economically competitive. Multiple sites were profitable under a typical 70 USD/MWh power purchase agreement, with return on investment close to 400%. However, operating in the open power market yielded non-profitable projects across the majority of sites. Opting for flexible dispatch resulted in an improved economic performance. Particularly, the most profitable site had nearly 20\% relative improvement in return on investment upon switching from baseload to flexible dispatch.</p>
Effect of meteorological variability on fine particulate matter simulations over the contiguous United States
<p>Supporting data files for the paper titled "Effect of meteorological variability on fine particulate matter simulations over the contiguous United States" submitted to JGR-Atmosphere for publication.</p>
Diagnostic Evaluation of Large-domain Hydrologic Models calibrated across the Contiguous United States
<p>Data repository for: Rakovec, O., Mizukami, N., Kumar, R., Newman, A., Thober, S., Wood, A. W., et al. ( 2019). Diagnostic evaluation of large‐domain hydrologic models calibrated across the contiguous United States. <em>Journal of Geophysical Research: Atmospheres</em>, 2019; 124: 13991–14007. <a href="https://doi.org/10.1029/2019JD030767">https://doi.org/10.1029/2019JD030767</a></p> <p>If you use this dataset in scientific publication, the aforementioned publication needs to be acknowledged.</p> <p><strong>rakovec_JGRA_2019.tar.gz </strong>refers to the mHM model simulations</p> <p><strong>Mizukami_etal_2017_WRR_results.calib.basin.tar.gz</strong> refers to a dataset published earlier in Mizukami et al. (2017, doi: 10.1002/2017WR020401)</p> <p>#########################################################################</p> <p>## BASIN-WISE DISCHARGE SIMULATIONS:</p> <p>#########################################################################</p> <p><strong>(1) VIC model: CONUS-wide runs based on the Mizukami et al. 2017 WRR paper</strong></p> <p>stored under: Mizukami_etal_2017_WRR_results.calib.basin.tar.gz</p> <p>meaning, 1 parameter set applied across all basins.</p> <ul> <li>Calibration period: ./$BASIN_ID/output/hcdn_calib_case04_rgn0.txt</li> <li>Validation period: ./$BASIN_ID/output/hcdn_vali_case04_rgn0.txt</li> </ul> <p>Note the time stamp is missing in the VIC files, and should be following for</p> <ul> <li>calibration period: init_date="1999-10-01"</li> <li>validation periods: init_date="1989-10-01"</li> </ul> <p>Finally, headers are missing for the VIC files, should be:</p> <ul> <li>qsim is first column</li> <li>qobs is second column</li> </ul> <p><strong>(2) VIC model: onsite calibrations </strong></p> <p>stored under: Mizukami_etal_2017_WRR_results.calib.basin.tar.gz</p> <p>meaning, each basin has different parameter set </p> <ul> <li>Calibration period: ./$BASIN_ID/output/hcdn_calib_case04.txt</li> <li>Validation period: ./$BASIN_ID/output/hcdn_vali_case04.txt</li> </ul> <p><strong>(3) mHM model: CONUS-wide runs based on Rakovec et al. 2019 JGR-A</strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <p>meaning, 1 parameter set applied across all basins.</p> <ul> <li>Calibration period: ./mHM_basins/$BASIN_ID/calib_001/output_calibMB_eval/daily_discharge.out</li> <li>Validation period: ./mHM_basins/$BASIN_ID/calib_001/output_validMB_eval/daily_discharge.out</li> </ul> <p><strong>(4) mHM model: onsite calibrations </strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <p>meaning, each basin has different parameter set </p> <ul> <li>Calibration period: ./mHM_basins/$BASIN_ID/calib_001/output/daily_discharge.out</li> <li>Validation period: ./mHM_basins/$BASIN_ID/calib_001/output_valid/daily_discharge.out</li> </ul> <p><strong>(5) mHM model: default parameter set from EU/Germany</strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <p>the prior parameter set taken from the develop git branch of mhm</p> <p>Note that the calibration and validation periods are in one file:</p> <ul> <li>./mHM_basins/$BASIN_ID/def_000/output/daily_discharge.out </li> </ul> <p>#########################################################################</p> <p>## CONUS-WISE FLUXES,STATES,PARAMETERS</p> <p>#########################################################################</p> <p><strong>(1) mHM model: CONUS-wide runs based on Rakovec et al. 2019 JGR-A</strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <ul> <li>Fluxes/states: mHM_entire_domain/calib_001/output/mHM_Fluxes_States.nc (monthly time step: 1950-2010)</li> <li>Model parameters (from the restart file): mHM_entire_domain/calib_001/output/mHM_restart_001.nc</li> </ul> <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.