Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,474
datasets available to search
ShareScore release 0.9.0
Dataset results
2,474 results for “Northeast”
Drivers of Collembola assemblages along an altitudinal gradient in northeast China
<p> The data sets were analyzed during the current study. Data from: Drivers of Collembola assemblages along an altitudinal gradient in northeast China. </p>
Data from: Watershed classification predicts streamflow regime and organic carbon dynamics in the Northeast Pacific Coastal Temperate Rainforest
<p class="Abstract">Watershed classification has long been a key tool in the hydrological sciences, but few studies have been extended to biogeochemistry. We developed a combined hydro-biogeochemical classification for watersheds draining to the coastal margin of the Northeast Pacific coastal temperate rainforest (1,443,062<i> </i>km<sup>2</sup>), including 2,695 small coastal rivers (SCR) and 10 large continental watersheds. We used cluster analysis to group SCR watersheds into 12 types, based on watershed properties. The most important variables for distinguishing SCR watershed types were evapotranspiration, slope, snowfall, and total precipitation. We used both streamflow and dissolved organic carbon (DOC) measurements from rivers (<i>n</i> = 104 and 90 watersheds respectively) to validate the classification. Watershed types corresponded with broad differences in streamflow regime, mean annual runoff, DOC seasonality, and mean DOC concentration. These links between watershed type and river conditions enabled the first region-wide empirical characterization of river hydro-biogeochemistry at the land-sea margin, spanning extensive ungauged and unsampled areas. We found very high annual runoff (mean > 3000 mm, <i>n</i> = 10) in three watershed types totaling 59,024 km<sup>2</sup> and ranging from heavily glacierized mountain watersheds with high flow in summer to a rain-fed mountain watershed type with high flow in fall-winter. DOC hotspots (mean > 4 mg L<sup>-1</sup>, <i>n</i> = 14) were found in three other watershed types (48,557 km<sup>2</sup>) with perhumid rainforest climates and less-mountainous topography. We described four patterns of DOC seasonality linked to watershed hydrology, with fall-flushing being widespread. Hydro-biogeochemical watershed classification may be useful for other complex regions with sparse observation networks.</p>
Fig. 6 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 6. Type series of Cyrtodactylus exercitus sp. nov.
Fig. 9 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 9. Type series of Cyrtodactylus siahaensis sp. nov.
Model data from GRL paper "Precipitation in Northeast Mexico Primarily Controlled by the Relative Warming of Atlantic SSTs"
<p>This folder includes monthly model data (Specified Chemistry version of the Whole Atmosphere Community Climate Model with CAM4 physics) of sea level pressure (SLP), zonal wind (U), meridional wind (V), convective precipitation rate (P), and vertical velocity (OMEGA) that were used in the Geophysical Research Letters paper "<strong>Precipitation in Northeast Mexico Primarily Controlled by the Relative Warming of Atlantic SSTs</strong>" by Wright et al. Boreal winter files include "DJFM" (December - March) in their title and boreal summer files include "JJAS" (June - September) in their title. Data from nine different experiments is included. These experiments were designed to isolate the large-scale atmospheric response to each combination of Atlantic Multidecadal sea surface temperature Variability (AMV) and Interdecadal Pacific sea surface temperature variability (IPV). Given that each climate mode can exist in a positive, negative, or neutral state, there are nine combinations of AMV and IPV. The first four letters of each filename denote the experiment ID with "A" referring to AMV, "I" referring to IPV, "C" referring to cold, "W" referring to warm, and "N" referring to neutral. For example, "ACIW_JJAS_SLP_1801-2000.nc" is the -AMV/+IPV sea level pressure during boreal summer. Vertical velocity data was lost for some experiments and we are providing what is left. Please refer to the manuscript by Wright et al. for further details on the experimental setup.</p>
Fig. 4 in Ecology Of Avian Settlements In Lake Tonga (Northeast Algeria)
Fig. 4. Evolution of the total abundance of waterbirds in Lake Tonga.
Fig. 5 in Ecology Of Avian Settlements In Lake Tonga (Northeast Algeria)
Fig. 5. Evolution of the diversity index at Lake Tonga.
Fig. 6 in Ecology Of Avian Settlements In Lake Tonga (Northeast Algeria)
Fig. 6. Evolution of the equitability Index at Lake Tonga.
Fig. 1 in Ecology Of Avian Settlements In Lake Tonga (Northeast Algeria)
Fig. 1. Geographical location of wetlands in northeast of Algeria.
Fig. 2 in Ecology Of Avian Settlements In Lake Tonga (Northeast Algeria)
Fig. 2. Status of avian species in Lake Tonga.
Fig. 2 in Metazoan Parasites And Health State Of European Eel, Anguilla Anguilla (Anguilliformes, Anguillidae From Tonga Lake And El Mellah Lagoon In The Northeast Of Algeria
Fig. 2. Distribution of the swimbladder degenerative index (SDI) in eels from the two localities.
Fig. 1 in Metazoan Parasites And Health State Of European Eel, Anguilla Anguilla (Anguilliformes, Anguillidae From Tonga Lake And El Mellah Lagoon In The Northeast Of Algeria
Fig. 1. Northeast of Algeria; stars show localization of sampling sites of eels.
Fig. 1, 1–10 in Song Repertoire And Comparative Analysis Of Song Structure Of Chaffinch, Fringilla Coelebs (Fringillidae), From The Northeast Of Balkan Region
Fig. 1, 1–10. Sonograms of most frequent song types of Balkan chaffinches.
Fig. 1, 10–18 in Song Repertoire And Comparative Analysis Of Song Structure Of Chaffinch, Fringilla Coelebs (Fringillidae), From The Northeast Of Balkan Region
Fig. 1, 10–18. Sonograms of most frequent song types of Balkan chaffinches.
Results of "Comparison of ice dynamics using full-Stokes and Blatter-Pattyn approximation: application to the Northeast Greenland Ice Stream"
<p>This archive provides ice sheet model output produced as part of the publication:</p> <p>Rückamp, M., Kleiner, T., and Humbert, A.: Comparison of ice dynamics using full-Stokes and Blatter–Pattyn approximation: application to the Northeast Greenland Ice Stream, The Cryosphere, 16, 1675–1696, https://doi.org/10.5194/tc-16-1675-2022, 2022.</p> <p>About the data:<br> The archive contains 2 zipped tar-files for the two 2 different regions 'icestream' and 'outlet'. Each tar-file contains ascii files for the different conducted scenarios. An exemplary filename looks like:<br> FSvsBPlike_icestream_res12800m_E1_SlidingM1_isFS_P1P1GLS_BCstrong.txt</p> <p>'FSvsBPlike' indicates the general study<br> 'icestream' indicates the region (either icestream or outlet)<br> 'res12800m' indicates the horizontal resolution (ranges from 12800 to 100 meter)<br> 'E1' indicates the enhancement factor used (available values E=0.1, 1, 3 and 6)<br> 'SlidingM1' indicates the employed sliding exponent (available values m=1 and 3)<br> 'isFS' indicates that the full-Stokes equation was employed (either isFS or isBPlike)<br> 'P1P1GLS' describes the employed finite element discretization (either P1P1GLS or P2P1)<br> 'BCstrong' indicates that the strong basal boundary implementation was used (either BCstrong or BCweak)<br> <br> An exemplary file structure looks as follows:<br> % Creation date: 03-May-2022<br> % Institution: AWI (Bremerhaven-Germany), BADW (Munich-Germany)<br> % Correspondence: Martin Rueckamp (martin.rueckamp@badw.de), Angelika Humbert (angelika.humbert@awi.de)<br> % Source: COMSOL version 5.6 (www.comsol.com)<br> % Citation: Rückamp et al. (2022): https://tc.copernicus.org/preprints/tc-2021-193/<br> % Projection: EPSG:3413 (proj4 string: +init=epsg:3413)<br> x(m) y(m) z_s(m) z_b(m) vx_s(m/a) vy_s(m/a) vz_s(m/a) p_s(Pa) vx_b(m/a) vy_b(m/a) vz_b(m/a) p_b(Pa)<br> 301099.83 -1256559.78 1840.83 205.40 -0.031 0.028 -5.456 -157729.374 -2.312 2.076 0.012 14684584.911<br> ...<br> <br> The fields x, y contain x- and y coordinates of the grid nodes in EPSG:3413 projection. The fields z_s and z_b are the ice surface and ice base, respectively. The fields vx, vy, and vz are the ice velocities in horizontal (x,y) and vertical (z) direction. The field p is the pressure. The subscripts _s and _b indicate the surface and ice base, respectively.</p>
Transient Freeze-Thaw Responses to the 2018 and 2019 Fires near Batagaika Megaslump, Northeast Siberia
<p>This repository contains the dataset for the Transient Freeze-Thaw Responses to the 2018 and 2019 Fires near Batagaika Megaslump, Northeast Siberia. All files are formatted as CSV. </p> <p>TD_Burn14_site1.csv contains thaw depth data at the site1 in the 2014 fire scar. </p> <p>TD_Burn14_site2.csv contains thaw depth data at the site2 in the 2014 fire scar.</p> <p>TD_Burn18.csv contains thaw depth data in the 2018 fire scar.</p> <p>TD_Unburn-Burn19.csv contains thaw depth data along the transect across the 2019 fire scar and unburned control site.</p> <p>TD_Unburn18.csv contains thaw depth data in the unburned control site for the 2018 fire scar.</p> <p>Temperature_TidbiT_190924-210916.csv contains hourly air and surface temperature data from 24 September 2019 to 16 September 2016. All data were taken by the TidbiT logger. </p> <p> </p> <p> </p>
Fig. 3 in Cladoceras rovumense sp. nov. (Gentianales-Rubiaceae), a new species from southeast Tanzania and northeast Mozambique
Fig. 3. Distribution of Cladoceras rovumense I.Darbysh., J.E.Burrows & Q.Luke sp. nov.
Supplemental data files for: Magnetotelluric data reveals subduction polarity and reactivation of the Mudanjiang suture zone, Northeast China
<p>Data files for a 3-D electrical resistivity model in the Mudanjiang suture zone area, including the observed MT data (the data format is for 3-D inversion using ModEM), and the preferred resistivity model.</p>
Data and Code: Detecting Blue Whale Calls in the Northeast Pacific Using Seismic Systems (Undergraduate Thesis)
<p><strong>SeismoData.ipynb</strong>: This Jupyter notebook is adapted from seismosocialdistancing.ipynb created by Thomas Lecocq, Fred Massin and Claudio Satriano. SeismoData.ipynb was used to retrieve seismic waveform data from the Incorporated Research Institutions for Seismology (IRIS) Data Management Center (DMC) (https://ds.iris.edu/ds/ nodes/dmc/) and convert files from miniSEED to SAC format. It was also used to preview waveform and spectrogram plots.</p> <p><strong>BlueWhaleDetectionResults_J53A_Dec132011.mat</strong>: This .mat file summarizes whale detection results from OBS J53A on December 13th 2011. The objective was to calibrate a detection algoritm created for Northwest Atlantic blue whale A calls by Plourde and Nedimovic (2022), so that it can target Northeast Pacific blue whale B calls using seismometers off Washington and California. Three tests were performed to find optimal parameters. <em>BlueWhaleDetections_J53A_Test1</em><strong> </strong>are the detection results of a control that uses Northwest Atlantic blue whale parameters (16.25-18Hz frequency and 68-78s period ranges). <em>BlueWhaleDetections_J53A_Test2</em> <strong> </strong>are the detection results using Northeast Pacific blue whale B call parameters (14-17Hz frequency and 45-55s period ranges). <em>BlueWhaleDetections_J53A_Test2 </em>are the detection results using Northeast Pacific blue whale B call and C call parameters (10.5-12Hz and 14-17Hz frequency and 45-55s period ranges). <em>BlueWhaleDetections_J53A_SCC</em> are the 95% probability detection results from the Wilcock and Hilmo (2021) blue whale catalogue created using spectrogram cross-correlation. </p> <p><strong>NEPBlueWhaleMATLABcodes.zip</strong>: Contains scripts to run the recurrence interval power ratio method created by Plourde and Nedimovic (2022), adjusted to detect Northeast Pacific blue whale B calls and plot waveforms/spectrograms. First run <em>DetectBlueWhales.m </em>to calculate the recurrence power ratio every 12 minutes, then run C<em>reateBlueWhaleDetectionList.m </em>to classify detections with high power ratios and likely blue whale call detections.</p> <p><strong>BlueWhaleDetectionResults_CapeMendocino_Dec15to292014.mat</strong>: This .mat file summarizes the blue whale detection results from 2 OBS (FS02D and FS07D) and 1 land seismometer (CM09A) in close proximity, using Test 2 parameters. Note if there are less than 3 BWD in a given day, these are likely false detections.</p>
FIGURE 5 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 5 | Canonical Variables Analysis discriminating for six pilombetas species.
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.