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354 results for “Budget”
Unexpected increase of sulfate concentrations and potential impact on CH4 budgets in freshwater lakes
<p>These data were completed by myself and co-authors, including field surveys and laboratory microcosmic systems.</p>
Ireland Carbon Budget Paris Test: Reanalysis dataset
<p>Re-analysis workbook(s) supporting results presented in "Defining a "Paris Test" of National Contribution to Global Climate Mitigation: the Irish Exemplar", McMullin et al, ERL Perspective (in review). This version includes an update of the IE-CCAC-PT-Scenario-Extra-Charts workbook to extend the chart of mass CH4 emissions back to show the pre-scenario historical period 2001-2020 (as, under GWP* with Δt=20, these affect the GWP* annual emissions over the scenario period of 2021-2040).</p>
Model data for: Analysis of the global atmospheric background sulfur budget in a multi-model framework
<p>The present dataset contains all model data used in the model intercomparison in ACP. All data is provided as monthly means. For more data, please contact the first author. V2 addresses inconsistencies in the time axes, vertical coordinates, and variable names between models.</p>
HRS Hydrogen uncertainty budget
<p>Spreadsheet to determine the HRS total mass uncertainty</p>
Wave Activity Budget Dataset
Open the record for dataset details and reuse information.
Combined CH4, N2O and CO2 fluxes budgets reveal a net carbon sink across a glacier-ocean continuum
<p>This dataset is supplument to a manuscript "Meltwater impacts CH4 and N2O fluxes across a glacier-ocean interface". </p> <p>Dataset includes </p> <ul> <li>timeseries.xlsx <ul> <li>A timeseries dataset conducted at Jökulsárlón Lagoon in Iceland. It includes CH<sub>4</sub> and N<sub>2</sub>O concentration, water flow and environmental variables. </li> </ul> </li> <li>discrete_v3.xlsx <ul> <li>Discrete samples conducted around Jökulsárlón Lagoon in Iceland It includes CH<sub>4</sub> and N<sub>2</sub>O concentration, nutrient. </li> <li>Add lat and lon (updated: 20 Nov 2024) </li> </ul> </li> </ul>
Figure 6 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 6. Behaviours exhibited by captive-born collared peccaries grouped into the territorial and exploratory categories. a) Dorsal gland mark; b) Rub head on ground/object; c) Nose ground; d) Nose air; e) Tasting; f) Root.
Figure 4 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 4. Behaviours exhibited by captive-born collared peccaries grouped into the social affiliative category. a) Head toss; b) Mutual rub neck; c) Mutual rub; d) Weak bite; e) Roll; f) Play in mud.
Figure 3 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 3. Behaviours exhibited by the captive-born collared peccaries grouped into reproductive category. a) Chin on back; b) Chin on head; c) Nurse; d) Mount.
Figure 1 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 1. Behaviours exhibited by the captive-born collared peccaries grouped into the locomotion and inactivity categories. a) Sequence from left to right: inactive, walking, trotting and running; b) Yawning; c) Stretching, and d) Sleeping.
Figure 2 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 2. Behaviours exhibited by the captive-born collared peccaries grouped into the social aggressive category. a) Stand over; b) Agonistic squabble; c) Tooth clack; d) Kneel; e) Lift with snout.
Figure 7 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 7. Behaviours exhibited by captive-born collared peccaries grouped into the exploratory, antipredator and maintenance categories. a) Flehmen; b) Erect dorsal bristles; c) Escaping; d) Scratching; e) Grooming.
Figure 5 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 5. Behaviours exhibited by captive-born collared peccaries grouped into the social affiliative category. a) Nose; b) Nose back; c) Nose rump; d) Nose dorsal gland; e) Nose nose; f) Nose belly.
Script and data of "Role of Frictional Processes in Mesoscale Eddy Available Potential Energy Budget in the Global Ocean"
<p>% File description:</p> <p>1. Cal_conversions.m: a set of functions calculating the EAPE-EKE and EAPE-EKE conversion terms with CESM output data in B-grid</p> <p>2. smooth2a.m: function of boxcar filtering</p> <p>3. CONV_u100_2d.mat: data of the global distribution of upper 100 m averaged conversion terms used in Figure 2 of the manuscript<br> % Variables inside the file:<br> CONVa_H_u100: MAPE-EAPE conversion driven by frictional process<br> CONVo_H_u100: MAPE-EAPE conversion driven by non-frictional process<br> CONVa_V_u100: EAPE-EKE conversion driven by frictional process<br> CONVo_V_u100: EAPE-EKE conversion driven by non-frictional process</p> <p>4. CONV_profile.mat: data of the vertical profiles of global and regional averaged EAPE-EKE conversion terms used in Figure 3 of the manuscript<br> % Variables inside the file:<br> % Vertical profiles of quasi-global-averaged EAPE-EKE conversion <br> CONVa_V_GLO_profile: driven by frictional process<br> CONVo_V_GLO_profile: driven by non-frictional process<br> CONVttw_V_GLO_profile: reproduced by TTW balance <br> <br> % Vertical profiles of EAPE-EKE conversion averaged in western boundary current regions<br> CONVa_V_WBCE_profile: driven by frictional process<br> CONVo_V_WBCE_profile: driven by non-frictional process<br> CONVttw_V_WBCE_profile: reproduced by TTW balance </p> <p> % Vertical profiles of EAPE-EKE conversion averaged in subtropical gyres<br> CONVa_V_STG_profile: driven by frictional process<br> CONVo_V_STG_profile: driven by non-frictional process<br> CONVttw_V_STG_profile: reproduced by TTW balance <br> <br> % Vertical profiles of EAPE-EKE conversion averaged in subpolar gyres<br> CONVa_V_SPG_profile: driven by frictional process<br> CONVo_V_SPG_profile: driven by non-frictional process<br> CONVttw_V_SPG_profile: reproduced by TTW balance </p> <p> % Vertical profiles of EAPE-EKE conversion averaged in the Southern Ocean<br> CONVa_V_SO_profile: driven by frictional process<br> CONVo_V_SO_profile: driven by non-frictional process<br> CONVttw_V_SO_profile: reproduced by TTW balance </p> <p>5. CONV_SeasDiff.mat: data of the seasonal difference (winter minus summer) of global and regional averaged conversion terms used in Figure 3 of the manuscript<br> % Variables inside the file:<br> % Vertical profiles of the seasonal difference of quasi-global-averaged EAPE-EKE conversion <br> CONVa_V_GLO_SeasDiff: driven by frictional process<br> CONVo_V_GLO_SeasDiff: driven by non-frictional process<br> CONVttw_V_GLO_SeasDiff: reproduced by TTW balance <br> <br> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in western boundary current regions<br> CONVa_V_WBCE_SeasDiff: driven by frictional process<br> CONVo_V_WBCE_SeasDiff: driven by non-frictional process<br> CONVttw_V_WBCE_SeasDiff: reproduced by TTW balance </p> <p> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subtropical gyres<br> CONVa_V_STG_SeasDiff: driven by frictional process<br> CONVo_V_STG_SeasDiff: driven by non-frictional process<br> CONVttw_V_STG_SeasDiff: reproduced by TTW balance <br> <br> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subpolar gyres<br> CONVa_V_SPG_SeasDiff: driven by frictional process<br> CONVo_V_SPG_SeasDiff: driven by non-frictional process<br> CONVttw_V_SPG_SeasDiff: reproduced by TTW balance </p> <p> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in the Southern Ocean<br> CONVa_V_SO_SeasDiff: driven by frictional process<br> CONVo_V_SO_SeasDiff: driven by non-frictional process<br> CONVttw_V_SO_SeasDiff: reproduced by TTW balance </p> <p>6. Coord_lon_lat_zw.mat: coordinate information for the variables in "CONV_u100_2d.mat", "CONV_profile.mat"and "CONV_SeasDiff.mat"<br> % Variables inside the file:<br> lon: longitude for the global distributions of the conversion terms<br> lat: latitude for the global distributions of the conversion terms<br> z_w: depth of each vertical level for vertical profiles of conversion terms</p>
Electrical ocean conductivity variability from observations and its budget from an ocean state estimate
<p>These are the data used to generate the figures in Trossman and Tyler (submitted to GRL, 2022).</p>
Supplementary Data for "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".
<p>Supplementary data tables for Ma et al. (2022) associated with the paper entitled "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".</p>
CESM1.2 simulations of Tropical Pacific heat budget and other properties across Pleistocene and Holocene climatic boundary intervals
<p>These .mat datasets contain output from Version 1.2 of the Community Earth System Model (CESM1.2) for the Tropical Pacific heat budget pertaining to ENSO feedback analysis under the following climatic boundary conditions: 0 ka, 3 ka, 6 ka, 9 ka, 12 ka, 15 ka, 18 ka, 21 ka, and 2xCO2 and 4xCO2 boundary conditions. For more information refer to Thirumalai et al. (2024; Nature).</p>
Advanced Materials - Epitaxial Growth of Large-Scale 2D CrTe2 Films on Amorphous Silicon Wafers With Low Thermal Budget
<p>2D van der Waals (vdW) magnets open landmark horizons in the development of innovative spintronic device architectures. However, their fabrication with large scale poses challenges due to high synthesis temperatures (>500 °C) and difficulties in integrating them with standard complementary metal-oxide semiconductor (CMOS) technology on amorphous substrates such as silicon oxide (SiO<sub>2</sub>) and silicon nitride (SiN<em><sub>x</sub></em>). Here, a seeded growth technique for crystallizing CrTe<sub>2</sub> films on amorphous SiN<em><sub>x</sub></em>/Si and SiO<sub>2</sub>/Si substrates with a low thermal budget is presented. This fabrication process optimizes large-scale, granular atomic layers on amorphous substrates, yielding a substantial coercivity of 11.5 kilo-oersted, attributed to weak intergranular exchange coupling. Field-driven Néel-type stripe domain dynamics explain the amplified coercivity. Moreover, the granular CrTe<sub>2</sub> devices on Si wafers display significantly enhanced magnetoresistance, more than doubling that of single-crystalline counterparts. Current-assisted magnetization switching, enabled by a substantial spin–orbit torque with a large spin Hall angle (85) and spin Hall conductivity (1.02 ×  10<sup>7</sup> ℏ/2e  Ω⁻¹  m⁻¹), is also demonstrated. These observations underscore the proficiency in manipulating crystallinity within integrated 2D magnetic films on Si wafers, paving the way for large-scale batch manufacturing of practical magnetoelectronic and spintronic devices, heralding a new era of technological innovation.</p>
The role of the discount rate for negative emissions under a carbon budget
<p>Data of the figures from the 'The role of the discount rate for negative emissions under a carbon budget'.</p>
Data for Greenhouse gas budgets of Central and West Asia (2000-2020)
<p>The data and code provided are utilized to support the conclusions of "Greenhouse gas budgets of Central and West Asia (2000-2020): A significant net source to the atmosphere" (submitted). The dataset comprises the processed ensemble mean values at both national and regional scales. Please note that in the dataset, "NBP" represents the NBP fluxes from TRENDY v11 models, "Wetland CH4" represents the wetland CH4 emission estimates from Terrestrial Biosphere Models in the Global Methane Budget, "Natural Soil N2O" represents the natural soil N2O emissions as estimated by NMIP2 models, and "Inversions" represents the inversion fluxes for each GHG. More detailed information about the meaning and data sources of each sector can be found in the Methods section of the manuscript and in Supplementary Information S1.</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.