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5,108 results for “North America”
Journey North - Tulip observations by volunteer community scientists across North America (1996-2020)
This data package contains tulip phenology data consisting of 21,148 total observational reports from 1996 - 2020 across North America. These data were collected by 6,645 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Tulip Test Garden Project is an ongoing study of tulip phenology conducted at broad spatial and temporal scales. Since 1996, community scientists have tracked planting, emergence, and blooming of tulips (Tulipa L.) in the United States. Most observations should be of the Red Emperor Tulip, but not all observations can be validated as this species. Researchers are encouraged to read observer comments to confirm tulip species. Observers also provide estimates of the number of tulips sighted. However, observers do not follow standardized methods for counting species observed. Observers do not observe at set times of the day, do not repeat observations regularly, and are not required to provide the length of time during which a specified number of species observed were counted. Therefore, it is recommended that this dataset be analyzed to indicate broad phenological information. Researchers are encouraged to read the rich information provided by volunteers in their comments. These comments provide qualitative information about observational reports. Researchers are also encouraged to refer to submitted photographs that also provide context for observational reports. The Journey North Tulip Test Garden Project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.
From 20,000 years ago to near present climate classification of North America
<p>For North America and most of Central America during 20, 14, 13, 11, 10, 7, 5, and 1 thousand years ago (ka) and recent years, I applied a Köppen-Trewartha classification system. I slightly modified the system by keeping the thermal classes for the dry classes, subdividing boreal and polar classes based on an ecological threshold of the number of months at 5 °C, and condensing the number of rare subclasses.</p> <p>Climate data were from:</p> <p>Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016a. Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100 AD. <em>Scientific Data</em>, 3, 1-19.</p> <p>Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016b. Data from: Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD. Dryad Dataset. Available at https://doi.org/10.5061/dryad.1597g [last accessed 01 December 2020].</p>
Supporting data for "Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America"
<p>This is a supporting dataset for the paper :</p> <div> <div>Yang, J. C., Bowling, D. R., Smith, K. R., Kunik, L., Raczka, B., Anderegg, W. R. L., Bahn, M., Blanken, P. D., Richardson, A. D., Burns, S. P., Bohrer, G., Desai, A. R., Arain, M. A., Staebler, R. M., Ouimette, A. P., Munger, J. W., and Litvak, M. E.: Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America, Agricultural and Forest Meteorology, 353, 110054, <a href="https://doi.org/10.1016/j.agrformet.2024.110054">https://doi.org/10.1016/j.agrformet.2024.110054</a>, 2024.</div> </div> <p>Descriptions and units for each column can be found in a dedicated page within the data file. Methods are decribed in the paper.</p>
A Quantitative Tomotectonic Plate Reconstruction of Western North America and the Eastern Pacific Basin
<p>The two plate model archives in this directory are linked to the paper (<em>Geochemistry, Geophysics, Geosystems</em>, in press):</p> <p>A Quantitative Tomotectonic Plate Reconstruction of Western North America and the Eastern Pacific Basin by Edward J. Clennett1, Karin Sigloch1, Mitchell G. Mihalynuk2, Maria Seton3, Martha A. Henderson2, Kasra Hosseini1,4, Afsaneh Mohammadzaheri1, Stephen T. Johnston5, and R. Dietmar Muller3</p> <p>1. Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK</p> <p>2. British Columbia Geological Survey, P.O. Box Stn Prov Govt, Victoria, BC, V8W 9N3, Canada</p> <p>3. EarthByte Group, School of Geosciences, The University of Sydney, NSW 2006, Australia</p> <p>4. The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB, UK</p> <p>5. Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB T6G 2E3, Canada</p> <p>The zipped archive contains two plate models: <strong>Clennett_etal_2020_M2019.zip</strong> and <strong>Clennett_etal_2020_S2013.zip</strong>. The former is our model in the Müller et al. (2019) reference frame, and the latter is our model implemented into the Shephard et al. (2013) plate reconstruction. Both of these folders contain the same types of files: coastlines, plate boundaries, plate topologies, a rotation file and terrane shapefiles.</p> <p>To view the models, open GPlates (downloadable at: <a href="https://www.gplates.org">www.gplates.org</a>), click 'File' > 'Open Project', navigate to the folder containing the desired model, and then click on the file <strong>Clennett_etal_2020_G3_XXXX.gproj</strong>. This will simultaneously open all the files that comprise the model. A layers panel will appear, with the option to turn on/off certain files. The view can be changed by clicking on the globe, and the model can be run by clicking the play button in the animation bar, starting from 170Ma. Features can be inspected by clicking the 'choose feature' tab, selecting a feature, and clicking 'query feature'.</p> <p>The files that comprise the model are described below:</p> <p>1. <strong>Clennett_etal_2020_Coastlines.gpml</strong>: Coastlines used in the reconstruction. The coastlines of western North America and Mexico were edited from the global model to account for later terrane accretions. </p> <p>2. <strong>Clennett_etal_2020_NAm_bounds.gpml</strong>: File containing the new plate boundaries digitised in this study.</p> <p>3. <strong>Clennett_etal_2020_Plates.gpml</strong>: File containing the edited plate boundaries of the global model, as well as our new continuously-closing plate topologies.</p> <p>4. <strong>Clennett_etal_2020_Rotations.rot</strong>: This is the rotation file that contains the relative motions between plates, terranes and plate boundaries for western North America and the eastern Pacific basin. The first column specifies the plate ID, the second column the timestep, the third, fourth and fifth columns are the latitude, longitude and angle of the stage rotations, and the sixth column is the plate that the feature moves relative to. Most lines are accompanied with a comment describing the rotation.</p> <p>5. <strong>Clennett_etal_2020_Terranes.gpml</strong>: This file contains all the terranes shown in the model. We further divided these into superterranes, so that each can be coloured accordingly for better visualisation purposes: a. Angayucham.gpml b. Farallon.gpml c. Guerrero.gpml d. Insular.gpml e. Intermontane.gpml f. Kula.gpml g. North_America.gpml h. Western_Jurassic.gpml</p> <p>6. <strong>Movie</strong> <strong>S1</strong>. Movie showing plate evolution at 1 million-year intervals, embedded within the Muller et al. (2019) global model. Blue boundaries are subduction zones, red boundaries are mid-ocean ridges, green boundaries are transform faults, and pink boundaries are other unspecified boundaries. Plates are not labelled but can be identified from figures 5-10.</p> <p>7. <strong>Movie S2</strong>. Movie showing plate evolution at 1 million-year intervals, embedded within the Shephard et al. (2013) global model. Blue boundaries are subduction zones, red boundaries are mid-ocean ridges, green boundaries are transform faults, and pink boundaries are other unspecified boundaries. Plates are not labelled but can be identified from figures 5-10.</p> <p> </p> <p>The agegrids and spreading rate grids associated with this model can be accessed at: <a href="https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Clennett_etal_2020_G3/" target="_blank" rel="noopener">https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Clennett_etal_2020_G3/</a></p>
Final model for "Automated Large-Scale Full Seismic Waveform Inversion for North America and the North Atlantic" by Krischer et al. (2018)
<p>The HDF5 file contains the final model of the paper "Automated Large-Scale Full Seismic Waveform Inversion for North America and the North Atlantic" by Krischer et al. (2018), soon to be published in the Journal of Geophysical Research - Solid Earth.</p> <p>The "coordinates_0", "coordinates_1", and "coordinates_2" data sets are the coordinates along each dimension, here colatitude in degree, longitude in degree, and radius in meter, respectively. The regularly sampled data is available in five 3D-arrays in the "data" group: "vp", "vsv", "vsh", "rho", and "Q". Velocities are defined at 1 Hertz and are given in km/s, the density in kg/m^3. Q is Q_mu.</p> <p>The coordinates have to be rotated to yield true spherical Earth coordinates. They have to be rotated around on axis vector of 0.766044443118978/0.6427876096865393/0.0 in cartesian x/y/z coordinates by -30.0 degrees. Conversion of spherical to cartesian coordinates happens with the standard convention:</p> <p>x = r sin(theta) cos(phi)<br> y = r sin(theta) sin(phi)<br> z = r cos(theta)</p>
Supplementary Material for "Formal methods in dependable systems engineering: a survey of professionals from Europe and North America"
<p>This report contains supplemental material for <a href="https://link.springer.com/article/10.1007%2Fs10664-020-09836-5">this paper</a>, including a detailed analysis of responses to certain questions, further visualizations of the collected data, details on our analysis of related work, and a copy of the whole questionnaire. This material was shared for the period of peer review and has been significantly updated, extended, and included in <a href="https://link.springer.com/article/10.1007%2Fs10664-020-09836-5">this journal publication</a>.</p>
Regional model results (combined) for the six transition potentials (one for Africa, Australia, Asia, Europe, North America, and South America)
<p>Results for the six regional models showing areas of high potential to transition from tree cover to tree cover loss to areas of low potential to transition.</p>
National Checklists 2017: North America Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from North America inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2019: North America Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>List of species from North America inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2019: North America Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>List of species from North America inferred from individual country lists that were derived from effechecka and modified geonames polygons
Potential tree species distributions from the Last Glacial Maximum in North America
<p>Modern tree distributions modeled under current climate and predicted to past climate.</p> <p>Values of '2' represent presence.</p> <p>The column mark is current presence, while _20000 is 20 ka, _14000 is 14 ka, _13000 is 13 ka, etc.</p> <p>For quick download, the .dbf for each species can be joined to the shapefile (us_can_ecosub). Alternatively, download and use the zipped folder of shapefiles (glac_shapes)..</p>
Carbon data for: Evidence for the Multiple Benefits of Wetland Conservation in North America
<p>These data were synthesized as part of a rapid evidence assessment of the scientific literature on a wide range of benefits associated with wetland conservation and restoration. Our synthesis emphasized data from North America and especially the United States, although many of the high priority meta-analyses and reviews we incorporated were global in scope. The data in these files represent a range of metrics related to carbon sequestration, storage, or flux compiled from multiple sources for the purposes of summarizing the range of observed values and how they vary across wetland classes or by restoration status. For more detail on the synthesis methods and each set of metrics, please see the full report: </p> <p>Conlisk E, Chamberlin L, Vernon M, Dybala KE. 2022. Evidence for the Multiple Benefits of Wetland Conservation in North America: Carbon, Biodiversity, and Beyond. Point Blue Conservation Science, Petaluma, CA.</p>
Increased impact of heat domes on 2021-like heat extremes in North America under global warming
<p>The key codes and processed data for the paper.</p>
A lack of population structure characterizes the invasive Lonicera japonica in West Virginia and across eastern North America
<p>Figure S1. Mig-seq primers used in the current study.</p> <p>Dataset S1. SNP data in .vcf format for Lonicera japonica.</p> <p>Figure S2: STRUCTURE analyses. Left: Delta K plot showing the optional number of ancestral population clusters (based on Evanno et al. 2015 method). Right: Ancestry plots from analysis with ParallelStructure for k = 3 (above) and k = 5 (below). Colors correspond to each ancestral cluster.</p>
Data for "A New Year-Round Weather Regime Classification for North America"
<p>This dataset supports the work presented in <em>"A New Year-Round Weather Regime Classification for North America" </em>by Lee et al. (2023), published in <em>Journal of Climate</em>: <a href="https://doi.org/10.1175/JCLI-D-23-0214.1">https://doi.org/10.1175/JCLI-D-23-0214.1</a> </p> <p>The dataset includes the Z500 climatology and anomalies, the EOFs/PCs, and the parameters required to attribute each day to a regime, alongside the regimes as assigned over 1979-2022 (time series in netCDF and csv formats). In addition, we also supply the standardized projection of each day onto the cluster-mean normalized Z500 anomalies for each regime, termed the Weather Regime Index (WRI).</p>
High-frequency water temperature and dissolved oxygen data and derived stability and metabolism metrics for nine lakes in northeastern North America for months before and after Tropical Cyclone Irene, Fall 2011
This dataset is used in the analysis published in the following manuscript: Klug, J.L., D.C. Richardson, H.A. Ewing, B.R.Hargreaves, N. R. Samal, D. Vachon, D.C. Pierson, A. E. Lindsey, D. O'Donnell, S.W. Effler, and K.C. Weathers. 2012. Ecosystem effects of a tropical cyclone on a network of lakes in northeastern North America. Environmental Science and Technology 46(21): 11693–11701. We include Quality Assurance Quality Controlled (QAQC) high-frequency dissolved oxygen, wind speed, and water temperature data from nine lakes and reservoirs in northeastern North America which were near the track of Tropical Cyclone Irene in August 2011. These data were collected using a set of in situ, automated monitoring systems associated with the Global Lake Ecological Observatory Network (GLEON) that record data at high frequency (10 min to 6 h). These sensor data were the basis for the derived measures of Schmidt stability, net ecosystem production, respiration, and gross primary production included in the dataset. We also include daily rainfall data collected at on-site or nearby weather stations. All data cover the period from 01 August through 15 October 2011.
Data for 'Weak latitudinal gradients in insect herbivory for dominant rangeland grasses of North America'
Data for Kent et al. Accepted manuscript in Ecology and Evolution, with abstract: Patterns of insect herbivory may follow predictable geographical gradients, with greater herbivory at low latitudes. However, biogeographic studies of insect herbivory often do not account for multiple abiotic factors (e.g. precipitation, soil nutrients) that could underlie gradients. We tested for latitudinal clines in insect herbivory as well as climatic, edaphic, and trait-based drivers of herbivory. We quantified herbivory on five dominant grass species over 23 sites across the Great Plains, USA. We examined the importance of climate, edaphic factors, and traits as correlates of herbivory. Herbivory increased at low latitudes when all grass species were analysed together and for two grass species individually, while two other grasses trended in this direction. Higher precipitation was related to more herbivory for two species but less herbivory for a different species, while higher specific root length was related to more herbivory for one species and less herbivory for a different species. Taken together, results highlight that climate and trait-based correlates of herbivory can be highly contextual and species specific. Patterns of insect herbivory on dominant grasses supports the hypothesis that herbivory increases towards lower latitudes, though weakly, and indicates that climate change may have species-specific effects on plant-herbivore interactions.
Mechanisms influencing physically sequestered soil carbon in temperate restored grasslands in South Africa and North America
This dataset contains a measurement of physically protected carbon (microaggregate-within-macroaggregate C) and potential drivers of physically protected C accumulation during grassland restoration. The data were collected from three independent grassland restorations from agriculture in North America and South Africa. Northeast Kansas, USA data were collected in May 2013. Northeast Free State, RSA data were collected in September–November 2005. Southeast Nebraska, USA data were collected in October 2008–May 2008. Aggregate fractionations were performed by hierarchical wet sieving (Six et al 2000). Carbon and N quantification were done by flash combustion-gas chromatography. Microbial biomass C quantification was performed with chloroform fumigation-incubation (chloroform fumigation-extraction in the case of northeast Kansas). Phospholipid fatty acid biomass analysis was conducted using the methods of Bligh and Dyer (1959).
Daily water temperature and dissolved oxygen data in summer months from 2011 to 2015 for Lake Lillinonah in Northeastern North America
This dataset was used in the analysis described in the manuscript by Macuch, C. & J. Klug. 2020. High-Frequency Temperature and Oxygen Data Reveal the Potential for Stressful Fish Conditions in a Southern New England Impoundment. Northeastern Naturalist 27(3): 520-533. We include high-frequency dissolved oxygen and water temperature data from Lake Lillinonah in Northeastern North America. These data were collected using in situ, automated monitoring sensors deployed each year into the lake in the spring or early summer months. Data were collected from 07 July 2011 through 14 October 2015. These data were used to assess conditions in the lake as they relate to specific stress thresholds for Northern Pike and Largemouth Bass. We found that summer water temperature was nearly always in an acceptable range for Largemouth Bass growth but was frequently in the stressful range for Northern Pike growth. Dissolved oxygen data show consistent hypoxia at the bottom of the lake during some summers, reducing the potential thermal refuge.
Global Lake Ecological Observatory Network: Long term chloride concentration from 529 lakes and reservoirs around North America and Europe: 1940-2016
This dataset compiles long term chloride concentration data from 529 freshwater lakes and reservoirs in Europe and North America. All lakes in the dataset had greater than or equal to ten years of data. For each lake the following landscape and climate metrics were calculated: mean annual precipitation, mean monthly air temperatures, road density and impervious surface in 100 to 1500 m buffer zones, sea salt deposition. The dataset includes three files: 1) Descriptive data of lake sites (physical lake metrics, climate, land-cover characteristics), 2) Chloride time-series, and 3) GIS shapefiles.
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.