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zenodo32/100

Quantifying the differrent source of REE in the deep Philippine Sea: Insights from numerical model and field observations

<p><span>Supportive information includes position information, temperature, salinity, and rare earth concentrations in seawater and porewater; FVCOM5.0.1 is the source code for fvcom model.</span></p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Ion Velocity Distributions in Nine Thin Current Sheets Observed in the Magnetotail at Lunar Distances [Dataset]

<p>Each .zip archive contains ion velocity distribution data along with general plasma characteristics (e.g., magnetic field, plasma density, etc.). Ion velocity distributions are provided either as 1D reduced ion velocity distributions along the GSM y-direction over the entire time interval or as 2D cuts in the xz and xy planes at the current sheet center and in the lobes.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Data and code for Recent observations of Thwaites Glacier, West Antarctica are consistent with high rates of loss in next 50 years

<p><span>This repository contains the code and input files needed for running the MITgcm and ISSM experiments in this manuscript, and the relevant outputs from the experiments.</span></p> <p><span>1. STREAMICE</span></p> <p><span>the STREAMICE folder contains the following subfolders:</span></p> <p><span>code: contains all MITgcm source files for calibration experiments that are not included in the MITgcm repository</span></p> <p><span>code_proj: similar to code/ but for projection experiments</span></p> <p><span>model_input: contains subdirectories containing binary inputs and parameter files for all experiments in the manuscript</span></p> <p><span>model_output: output from each projection experiment is contained in a .mat file with the following arrays:</span></p> <ul> <li><span> X, Y: x-and y-coordinates in WGS 84 / Antarctic Polar Stereographic (EPSG:3031)</span></li> <li><span> BED: bed elevation (m)</span></li> <li><span> BETA: \beta described in the manuscript (units: Pa^(1/2) (m/a)^{-1/6})</span></li> <li><span> BGLEN: \overline{B} described in the manuscript (units: Pa^(1/2) a^{-1/6})</span></li> <li><span> SURF: ice surface elevation (m)</span></li> <li><span> THICK: ice thickness (m)</span></li> <li><span> THICK0: initial ice thickness (m)</span></li> <li><span> VX: x-velocity (m/a)</span></li> <li><span> VY: y-velocity (m/a)</span></li> <li><span> times:<span>&nbsp; </span>time in years after 2004</span></li> </ul> <p><span>checkpoint 68y of the MITgcm source code (mitgcm.org) was used for this study.</span></p> <p><span>m1qn3 (https://who.rocq.inria.fr/Jean-Charles.Gilbert/modulopt/optimization-routines/m1qn3/m1qn3.html) was used for optimisation.</span></p> <p><span>details of how to compile and run the forward and adjoint STREAMICE code can be found at https://mitgcm.readthedocs.io/en/latest/</span></p> <p><span>-------------------------------------------</span></p> <p><span>2. ISSM</span></p> <p><span>runme.m contains all ISSM instructions to run the experiments.</span></p> <p><span>output/ contains mat files for all experiments, with array descriptions as above.</span></p> <p><span>ISSM source and documentation can be found at https://issm.jpl.nasa.gov/.</span></p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Direct Observation of the Chemical Transformations in BiVO4 Photoanodes upon Prolonged Light-Aging Treatments

<p># Dataset of &ldquo; Direct Observation of the Chemical Transformations in BiVO4 Photoanodes upon Prolonged Light-Aging Treatments&rdquo;</p> <p>-------</p> <p>## GENERAL INFORMATION<br>----------------------</p> <p>1. Dataset title: &ldquo;Direct Observation of the Chemical Transformations in BiVO4 Photoanodes upon Prolonged Light-Aging Treatments&rdquo;</p> <p>2. Authorship: &nbsp;<br>&nbsp; &nbsp; Name: Ram&oacute;n Arcas &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain<br>&nbsp; &nbsp; ORCID: 0000-0001-5813-2768</p> <p>&nbsp; &nbsp; Name: Drialys Cardenas-Morcoso &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;<br>&nbsp; &nbsp; Institution:Material Research and Technology (MRT) Department Luxembourg Institute of Science and Technology (LIST) 4422 Belvaux, Luxembourg<br>&nbsp; &nbsp; ORCID: 0000-0001-9916-4811<br>&nbsp; &nbsp;&nbsp;</p> <p>&nbsp; &nbsp; Name: Maria Chiara Spadaro &nbsp; &nbsp;<br>&nbsp; &nbsp; Institution: &nbsp;Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST Campus UAB, Bellaterra 08193 Barcelona, Spain;<br>&nbsp; &nbsp; ORCID: 0000-0002-6540-0377</p> <p>&nbsp; &nbsp; Name: Miguel Garcia-Tecedor<br>&nbsp; &nbsp; Institution: Photoactivated Processes Unit, IMDEA Energy Institute, Parque Tecnol&oacute;gico de M&oacute;stoles, 28935 M&oacute;stoles, Madrid, Spain;<br>&nbsp; &nbsp; ORCID: 0000-0002-9664-4665</p> <p>&nbsp; &nbsp; Name: Camilo A. Mesa<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain;<br>&nbsp; &nbsp; ORCID: 0000-0002-8450-2563</p> <p>&nbsp; &nbsp; Name: Jordi Albiol<br>&nbsp; &nbsp; Institution: Advanced Electron Nanoscopy (GAeN) ICREA 08010 Barcelona, Catalonia, Spain<br>&nbsp; &nbsp; ORCID: 0000-0002-0695-1726</p> <p>&nbsp; &nbsp; Name: Francisco Fabregat Santiago &nbsp; &nbsp;<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain<br>&nbsp; &nbsp; ORCID: 0000-0002-7503-1245</p> <p>&nbsp; &nbsp; Name: Sixto Gim&eacute;nez<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain<br>&nbsp; &nbsp; Email: &lt;sjulia@uji.es&gt;&nbsp;<br>&nbsp; &nbsp; ORCID: 0000-0002-4522-3174</p> <p>&nbsp; &nbsp; Name: Elena M&aacute;s-Marz&aacute;<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain<br>&nbsp; &nbsp; Email: &lt;emas@uji.es&gt;<br>&nbsp; &nbsp; ORCID: 0000-0002-2308-0635<br>&nbsp; &nbsp;&nbsp;</p> <p>&nbsp; &nbsp;<br>## FILE DESCRIPTION<br>&mdash;&mdash;&mdash;&mdash;&mdash;&mdash;&mdash;&mdash;&mdash;<br>### Figure 1<br>-Fig1.txt : Cyclic voltammograms of Reference (black), 1LA&ndash;BiVO4 (red) and 3LA&ndash;BiVO4 (green) photoanodes measured at 20 mV s 1 in 0.1 M benzyl alcohol in acetonitrile solution with 0.1 M tetrabutylammonium perchlorate (TBAClO4) in the dark (solid lines) and under illumination (100 mW cm 2) [dashed lines].</p> <p>### Figure 2<br>-Fig2d.txt : Raman spectra of Zone A.&nbsp;<br>_fig2e.txt : Raman spectra of Zone B.</p> <p>### Figure 4<br>-Fig4a.txt : Nyquist plot of Reference sample and selected equivalent circuit to fit the experimental data of the Reference and LA samples.<br>-Fig4b.txt : Surface capacitance (Cs), charge transfer resistance (Rct), and photocurrent (J) of Reference BiVO4.<br>-Fig4c.txt : Density of surface states as a function of applied potential. Reference (Black), 1LA&ndash;BiVO4 (Red) and 3LA&ndash;BiVO4 (Green).</p> <p>### Figure 5<br>-Fig5a.txt : Infrared (IR)-chopped chronoamperometry measurements of Reference (Black) and 3LA-BiVO4 (green).</p> <p>### Figure S1<br>-FigS1.txt : Cyclic voltammetry peak of Ferrocene/Ferrocenium (Fc/Fc+). 1.9 mM of ferrocene was used to calibrate the applied voltage to the normal hydrogen electrode (NHE). Conditions: 100 mM of benzyl alcohol, in 0.1 M TBAClO4 in CH3CN, using BiVO4 as WE, Pt film as CE, and Ag/AgNO3 as RE.</p> <p>### Figure S2<br>-FigS2.txt : CV of Reference (black) and 1LA-BiVO4 (red) measured at scan rates of 20 mV&middot;s-1 in a 0.1M KPi buffered aqueous solution (pH 7.8) in the dark (solid lines) and under 100 mW&middot;cm-2 illumination (dashed lines).</p> <p>### Figure S4<br>-FigS4.txt : XRD spectra for Reference (black), 1LA-BiVO4 (red) and 3LA-BiVO4 (green) photoanodes.</p> <p>### Figure S7<br>-FigS7a.txt : Impedance spectroscopy parameters extracted from fitting the experimental data with the selected equivalent circuit showed in Figure 3. Surface capacitance, Cs. Reference (Black), 1LA-BiVO4 (Red), 3LA-BiVO4 (Green), Reference with electrodeposited BiOx on top<br>(purple). Measurements were performed under illumination at 0.1 M benzyl alcohol oxidation conditions.<br>-FigS7b.txt : Impedance spectroscopy parameters extracted from fitting the experimental data with the selected equivalent circuit showed in Figure 3. Charge Transfer Resistance, Rct. Reference (Black), 1LA-BiVO4 (Red), 3LA-BiVO4 (Green), Reference with electrodeposited BiOx on top<br>(purple). Measurements were performed under illumination at 0.1 M benzyl alcohol oxidation conditions.<br>-FigS7c.txt : Impedance spectroscopy parameters extracted from fitting the experimental data with the selected equivalent circuit showed in Figure 3. Bulk Capacitance, Cbulk. Reference (Black), 1LA-BiVO4 (Red), 3LA-BiVO4 (Green), Reference with electrodeposited BiOx on top<br>(purple). Measurements were performed under illumination at 0.1 M benzyl alcohol oxidation conditions.<br>-FigS7d.txt : Impedance spectroscopy parameters extracted from fitting the experimental data with the selected equivalent circuit showed in Figure 3. Bulk Resistance, Rbulk. Reference (Black), 1LA-BiVO4 (Red), 3LA-BiVO4 (Green), Reference with electrodeposited BiOx on top<br>(purple). Measurements were performed under illumination at 0.1 M benzyl alcohol oxidation conditions.</p> <p>### Figure S8<br>-FigS8a.txt : Comparison of Cs, Rct and the J-V as a function of the applied potential for Reference (Black).Measurements were performed under illumination at 0.1 M benzyl alcohol oxidation conditions.<br>-FigS8b.txt : Comparison of Cs, Rct and the J-V as a function of the applied potential for 1LA-BiVO4 (red). Measurements were performed under illumination at 0.1 M benzyl alcohol oxidation conditions.<br>-FigS8b.txt : Comparison of Cs, Rct and the J-V as a function of the applied potential for 3LA-BiVO4 (green). Measurements were performed under illumination at 0.1 M benzyl alcohol oxidation conditions.</p> <p>### Figure S9<br>-FigS9a.txt : Density of surface states as a function of applied potential. 1LA-BiVO4 (Red) and LT-1LA-BiVO4 (Maroon).<br>-FigS9b.txt : Steady-state photocurrent as a function of applied potential. 1LA-BiVO4 (Red) and LT-1LA-BiVO4 (Maroon).</p>

opencc-by-4.0Jun 2022View details →
zenodo32/100

Figure 2 in New observations on prey scarab beetles and host plants of the green lynx spider, Peucetia viridans (Hentz, 1832) (Araneae: Oxyopidae) in Oaxaca, Mexico

Figure 2. Prey beetles and host plants of the green lynx spider, Peucetia viridans. (a) Lantana camara; (b) Wigandia urens; (c) Solanum mitlense; (d) P. viridans feeding on Diplotaxis trapezifera on W. urens; (e) P. viridans feeding on Macrodactylus fulvescens on L. camara; (f) Paranomala discoidalis being consumed by P. viridans; (g) Strigoderma costulipennis on the inflorescence of Croton ciliatoglandulifer; (h) Strigoderma sulcipennis on Solanum mitlense leaf; (i) Euphoria pulchella on Solanum mitlense leaf.

opennotspecifiedOct 2024View details →
zenodo32/100

Figure 1 in New observations on prey scarab beetles and host plants of the green lynx spider, Peucetia viridans (Hentz, 1832) (Araneae: Oxyopidae) in Oaxaca, Mexico

Figure 1. (a) Location of the study sites in the Valles Centrales region of Oaxaca, Mexico. (b) Landscape in Villa de Zaachila; (c) landscape in San Pedro Mártir.

opennotspecifiedOct 2024View details →
zenodo32/100

Effects of nonlinear observation operators for visible and infrared radiances in ensemble data assimilation

<p><br>Description</p> <p>Dataset to accompany the first revision of the manuscript "Effects of nonlinear observation operators for visible and infrared radiances in ensemble data assimilation" for the QJRMS.</p> <p>Contains&nbsp;<br>- experiments (one folder per experiment)<br>&nbsp; each contains&nbsp;<br>&nbsp; - diagnostics (DART format) for each assimilation time<br>&nbsp; &nbsp; - obs_seq.final: assimilation output&nbsp;<br>&nbsp; &nbsp; - obs_seq.final-linear: contains linear posterior as "prior" ("evaluate" at +1s after analysis)<br>&nbsp; &nbsp; - obs_seq.final-evaluate: at analysis time (includes DART clamping), at 1s after analysis time: "nonlinear posterior"<br>&nbsp; - config file DART-WRF for each experiment (python format)</p> <p>- code<br>&nbsp; &nbsp; assim_tools_mod.f90: DART code modification to compute the linear posterior</p> <p>- other data: &nbsp;see v1 of this repository!<br>&nbsp; &nbsp; nature run initial conditions (WRF format)<br>&nbsp; &nbsp; forecast ensemble initial conditions (WRF format)<br>&nbsp; &nbsp; script to read "obs_seq.final"-files into pandas.DataFrame (python format)</p> <p><br>Experiment naming:<br>VIS ... visible reflectance 0.6 micrometer assimilation<br>WV73 ... infrared 7.3 micrometer assimilation<br>obs10 ... observation density: 1 observation per 10x10 km of domain area<br>obs30 ... 1 observation per 30x30 km<br>loc10 ... localization radius: 10 km<br>inf0 ... no prior nor posterior covariance inflation in the assimilation<br>sec0 ... no sampling error correction<br>reject ... not assimilating observations with a small first-guess departure &lt;= 0.03</p> <p><br>Experiment names used in Figures</p> <p>Section 3.1<br>- Figure 2a: exp_v1.23_P2_rr+1_VIS_obsi211_loc20_inf0<br>- Figure 2b: exp_v1.23_P2_rr+1_VIS_obsi360_loc20_inf0</p> <p>Section 3.2.1&nbsp;<br>- Figure 3: exp_v1.23_P2_rr+1_VIS_obs30_loc14_inf0</p> <p>Section 3.2.2<br>- Figure 4: exp_v1.23_P2_rr+1_VIS_obs10_loc20, exp_v1.23_P2_rr+1_VIS_obs10_loc20_reject</p> <p>Section 3.3<br>- Figures 5a,c: exp_v1.23_P2_rr+1_T2M_obs10_loc20_inf0_sec0<br>- Figures 5b,5d,7a: exp_v1.23_P2_rr+1_VIS_obs10_loc20_inf0_sec0<br>- Figure 6a,6b,7b: exp_v1.23_P2_rr+1_WV73_obs10_loc20_inf0_sec0</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Dataset for "On the quantification of thermodynamic phases of raining clouds: insights from multi-year CloudSat and ground-based radar observations over Longmen, Southern China"

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2024View details →
zenodo32/100

Simulation of HLVK Configuration for O5 and O6 Observation Runs: Gravitational Wave Detection Rates, Skymaps, and Multimessenger Parameters (November 2024 edition)

<p>We conducted a simulation of the<strong> HLVK </strong>configuration for the upcoming O5 and O6 observing runs, estimating the expected gravitational wave (GW) detection rates based on a signal-to-noise (S/N) <strong>threshold of 10</strong>. This dataset includes skymap files and essential parameters for multimessenger studies. Additionally, a Python script is provided to facilitate the separation of BNS, BBH, and NSBH events based on mass, with a default recommendation of setting neutron star (NS) mass to &lt;3 solar masses and black hole (BH) mass to &ge;3 solar masses. Previous simulations for the O4 and O5 runs used an <strong>S/N of 8</strong> and can be found here: <a href="https://doi.org/10.5281/zenodo.7026209" target="_new" rel="noopener">https://doi.org/10.5281/zenodo.7026209</a>.&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Remote sensing measurements of the nighttime D-region ionosphere based on very low frequency tweek observations in China

<p>Figures, data, and code used in my paper describing "Remote sensing measurements of the nighttime D-region ionosphere based on very low frequency tweek observations in China"</p>

opencc-by-4.0Dec 2024View details →
zenodo32/100

Dataset of "Stochastic multi-observables inversion for 3D thermochemical structure of lithosphere in spherical coordinates"

<p>### Introduction</p> <p>This repository contains source codes and raw data files associated with the manuscript entitled "<strong>Stochastic multi-observables inversion for 3D thermochemical structure of a lithosphere in spherical coordinates</strong>" by Yi Zhang (yizhang-geo@zju.eud.cn) and Xu Yixian at the School of Earth Sciences, Zhejiang University,&nbsp;Hangzhou 310027, China. Please see the copyright file before you use the enclosed files.</p> <p>Please check former versions for more code and data files.</p> <p>&nbsp;</p> <p>### Abbreviations</p> <p>* **GCTL**: Geophysical Computational Tools &amp; Library &nbsp;(<a href="http://sanqian.synology.me:8418/zhangyiss/gctl">http://sanqian.synology.me:8418/zhangyiss/gctl</a>);</p> <p>* **GIST**: Geophysical Inversions under the Spherical coordinates using Tetrahedral meshes (see former versions of this repository).</p> <p>&nbsp;</p> <p>### Files</p> <p>* CNTS_DATA: data files for the field application.</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Bridging the gap between total peroxyl radical observations and models by measuring OH reactivity to improve estimates of ozone production: a case study from the 24th Winter Olympics Games-

Open the record for dataset details and reuse information.

openapache2.0Nov 2024View details →
zenodo32/100

Direct observation of the chemical transformations in BiVO4 photoanodes upon prolonged light exposure treatments

<p>Exposing BiVO<sub>4</sub> photoanodes to light pre-treatments leads to a significant photocurrent enhancement. The interpretation given for this phenomenon until now, has not taken into consideration the chemical nature of the processes taking place within the material. Here, we present a direct observation of the chemical transformations on the BiVO<sub>4</sub> surface upon prolonged light exposure and their implications on the photoelectrochemical oxidation of benzyl alcohol. Upon the light-aging treatment, structural characterization of our BiVO<sub>4</sub> shows a chemical segregation process of Bi species toward the surface of the photoanode. We found that this observation correlates with the formation of intra-band gap electronic states associated with oxygen vacancies, observed by impedance spectroscopy. Continuous infra-red wavelength excitation allowed us to monitor such oxygen vacancy states and, for the first time, to report infra-red steady-state photocurrent production in BiVO<sub>4</sub>. Our results highlight the significance of the chemical nature of light-induced phenomena on metal oxide semiconductors and its implications when developing photosensitizers for photoelectrochemical applications</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Himalayan Re-gridded and Observational EXperiment (HiROX): Part I and Part II

<p>1.&nbsp;<strong>Himalayan Re-gridded and Observational Experiment (HiROX): Part I - Development </strong></p> <p>Modules/Codes for the development of HiROX-1 and HiROX-2 datasets.</p> <p>2.&nbsp;<strong>Himalayan Re-gridded and Observational Experiment (HiROX): Part II - Application</strong></p> <p>HiROX-1 precipitation dtaset at 5km x 5 km spatial resolution, daily scale, ~50 year temporal coverage from 1972-2018, and improved spatial distribution of precipitaiton over the Central (Uttarakhand) Himalayas including the Upper Ganga Basin. This is a fixed period (static) dataset.</p> <p>HiROX-2&nbsp;precipitation dtaset at 5km x 5 km spatial resolution, daily scale, ~20 year temporal coverage from 2000-2021, and improved spatial distribution of precipitaiton over the Central (Uttarakhand) Himalayas including the Upper Ganga Basin. This is a continuosly upgradable (dynamic) dataset.</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Subspecies and Distribution. S. J. fuscicollis Spix, 1823 — W Brazil (states of Acre & Amazonas) and Peru, S of the Rio Solimoes, between the Rio Javari in the W, E through the Rio Jutai Basin to the Rio Jurua (left bank), also in Peru, W of the Rio Yavari as far as the Rio Tapiche, an E tributary of the Rio Ucayali, and extending N from there as far as the Rio Blanco (left bank), where it meets the distribution of Geoffroy's Saddle-back Tamarin, S. nigrifrons (right bank of the Rio Blanco). S. f. auvilapiresi Hershkovitz, 1966 — W Brazil in the Amazonas State (type locality is the mouth of the Lago de Tefé, Rio Solimoes), found along the S of the Rio Solimoes between the rios Jurua and Purus, including the basins of the rios Urucu and Coari, and probably the Rio Tefé; the S limits are not known but possibly in the region of the N bank of the Rio Tapaua, an affluent of the Rio Purus. S. f. eruzlimai Hershkovitz, 1966 — W Brazil, described by Hershkovitz without provenance (based on a single individual "said to be from the upper Rio Purus"); M. G. M. van Roosmalen reported in 2003 that it had been observed by T. van Roosmalen on 21 June 2002, on the W bank of the Rio Purus, opposite the mouth of the Rio Sepatini, and noted that Hershkovitz was correct in supposing that it occurred between the rios Pauini and Tapaua, W of the Rio Purus. S. J. mura Rohe et al, 2009 — C Brazil (Amazonas State), interfluvium of the rios Madeira and Purus, S of the Rio Amazonas, probably S to the Rio Igapo-Acu. S. f. primitivus Hershkovitz, 1977 — W Brazil (Amazonas State), the distribution is believed to extend from the left bank of the Rio Pauini, along the left bank of the upper Rio Purus, N to the Rio Tapaua (right bank), as far W the right bank of the Rio Jurua, and the Rio Tarauaca. in Callitrichiade

Subspecies and Distribution. S. J. fuscicollis Spix, 1823 — W Brazil (states of Acre &amp; Amazonas) and Peru, S of the Rio Solimoes, between the Rio Javari in the W, E through the Rio Jutai Basin to the Rio Jurua (left bank), also in Peru, W of the Rio Yavari as far as the Rio Tapiche, an E tributary of the Rio Ucayali, and extending N from there as far as the Rio Blanco (left bank), where it meets the distribution of Geoffroy's Saddle-back Tamarin, S. nigrifrons (right bank of the Rio Blanco). S. f. auvilapiresi Hershkovitz, 1966 — W Brazil in the Amazonas State (type locality is the mouth of the Lago de Tefé, Rio Solimoes), found along the S of the Rio Solimoes between the rios Jurua and Purus, including the basins of the rios Urucu and Coari, and probably the Rio Tefé; the S limits are not known but possibly in the region of the N bank of the Rio Tapaua, an affluent of the Rio Purus. S. f. eruzlimai Hershkovitz, 1966 — W Brazil, described by Hershkovitz without provenance (based on a single individual "said to be from the upper Rio Purus"); M. G. M. van Roosmalen reported in 2003 that it had been observed by T. van Roosmalen on 21 June 2002, on the W bank of the Rio Purus, opposite the mouth of the Rio Sepatini, and noted that Hershkovitz was correct in supposing that it occurred between the rios Pauini and Tapaua, W of the Rio Purus. S. J. mura Rohe et al, 2009 — C Brazil (Amazonas State), interfluvium of the rios Madeira and Purus, S of the Rio Amazonas, probably S to the Rio Igapo-Acu. S. f. primitivus Hershkovitz, 1977 — W Brazil (Amazonas State), the distribution is believed to extend from the left bank of the Rio Pauini, along the left bank of the upper Rio Purus, N to the Rio Tapaua (right bank), as far W the right bank of the Rio Jurua, and the Rio Tarauaca.

opennotspecifiedMar 2013View details →
zenodo32/100

Continous observations of chlorophyll fluorescence and photosynthesis at XTS site (October 2020- June 2021)

<p>This is the dataset of continuous observations of&nbsp;chlorophyll fluorescence and photosynthesis at the Xiaotangshan (XTS, Beijing) site. The dominant species during the observation period was winter wheat, and the data was provided at an interval of half an hour.</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

FUV and NUV observations of the bulge of M31

<p>This is the set of FUV and NUV filter images (F148W, F169M, F172M, N219M and N279N) of Field 1 of M31, containing the bulge of M31.</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Lidar ratio–depolarization ratio relations of atmospheric dust aerosols: the T-matrix modeling and high spectral resolution polarization lidar observations

<p><strong>Data for publication:</strong></p> <p><em><strong>Lidar ratio&ndash;depolarization ratio relations of atmospheric dust aerosols: the T-matrix modeling and high spectral resolution polarization lidar observations.</strong></em></p> <p>Mail:</p> <p>sato@riam.kyushu-u.ac.jp&nbsp;</p> <p><a href="mailto:bilei@zju.edu.cn">bilei@zju.edu.cn</a></p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Data for "Electrically Controlling and Optically Observing the Membrane Potential of Supported Lipid Bilayers"

<p>Raw data of all EIS, imaging and time-resolved fluorescence measurements presented in &quot;Electrically Controlling and Optically Observing the Membrane Potential of Supported Lipid Bilayers&quot;.</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

FIGURE 85 in Observations on the Biology of Afrotropical Hesperiidae (Lepidoptera). Part 5. Hesperiinae incertae sedis: Dicotyledon Feeders

FIGURE 85. Final instar caterpillar of Platylesches tina, collected on Parinari cutatellifolia, Mufindi, Tanzania, TCEC. 1, dorsolateral view in opened shelter, 3 Feb 1998; 2–6, detail of head, anterior view, showing range of variation: 2–4, 22 Dec 1995; 5, undated; 6, 2 May 1998.

opennotspecifiedOct 2013View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.