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Figure 2 in Plant diversity and conservation value of wetlands along a rural-urban gradient
Figure 2. NMDS ordination for the average cover-abundance per transect per site of all species.
Actual rainfall data and estimated values for 10 sub-districts Samarinda City (mm per month)
<p><span>Table 2 displays the comprehensive recorded rainfall data for the three sub-districts in Samarinda, along with the estimated rainfall for the remaining sub-districts using the inverse-square distance method.</span></p>
Database of retrosynthesis, SA-score and Ei values for AI-Design of ET MALDI matrices
Open the record for dataset details and reuse information.
Prognostic value of a modified pathological staging system for gastric cancer based on the number of retrieved lymph nodes and metastatic lymph node ratio raw data
<p><span>Clinical data from the US Surveillance, Epidemiology, and End Results (SEER) Program from 2010-2015 (https://seer.cancer.gov/) was extracted and analyzed as training set, data from 2016-2017 was adopted as internal validation set. Data from The Cancer Genome Atlas Program (TCGA) (https://portal.gdc.cancer.gov/) and prognosis data from Gastrointestinal surgery Department, Third Affiliated Hospital of Sun Yat-sen University were applied as external validation sets. </span></p> <p><span>Screening criteria for gastric cancer cases were as follow: exclusion of cases with only autopsy or death certificate, cases where initial tumor location was not stomach, patients with stage 0 and stage IV, cases without radical surgery, non-adenocarcinoma cases, death cases within one month after operation, and cases with unknown lymph node information and AJCC TNM stage.</span></p> <p><span>The study analyzed various factors such as age of diagnosis (<50 years, 50-69 years, >69 years), gender, race (white, black, other), AJCC T stage (T1-T4b), AJCC TNM stage (I-III), primary tumor location (stomach body, antrum/pylorus, cardia/fundus, greater gastric recurve, lesser gastric recurve, overlapping area, NOS), Clinical features such as tumor size (≥5cm,<5cm, unknown), tumor grade (I-IV), chemotherapy, radiotherapy, number of lymph nodes retrieved and number of metastases, and lymph node positive rate. The populations of American Indian/Alaskan and Asian/Pacific Islander were classified as "other" due to small sample sizes. Tumor grade was also analyzed, with grades I-IV representing highly differentiated, moderately differentiated, poorly differentiated, and signed-ring cell carcinoma, respectively. Overall survival (OS) is the time from cancer diagnosis to death from any cause, while disease-specific survival (DSS) is the time from cancer diagnosis to death specifically due to the disease.</span></p> <p><strong><span> </span></strong></p>
Soil properties and Q10 values along a latitudinal transect and for a 4-year laboratory incubation
<p>Soil physicochemical protection, substrates and microorganisms data were included for soils collected from seven sites along a 5,000-km-long latitudinal transect and from a 4-year laboratory incubation experiment. Q10 values data for microorganism reciprocal transplant experiments and aggregate disruption experiments were also included.</p>
Parameters for SCI value calculation
<p>This collection includes four separate datasets used to calculate the Socioeconomic Capacity Index (SCI) for Thailand, Malaysia, Indonesia, and Montenegro. Each dataset contains various subindices that reflect key socioeconomic indicators for the respective countries. The subindices capture different dimensions of socioeconomic capacity, contributing to a comprehensive understanding of each country's overall SCI.</p> <p>These datasets are integral to the analysis presented in the accompanying scientific paper, facilitating a comparative assessment of socioeconomic capacity across the four nations.</p>
Resources for studying the aesthetic and diversity values of plants and pets in shaping biodiversity loss belief among urban residents
<p><span>Considering the issues of data transparency and the cost of reproduction, all data and code snippets of the study titled "From beauty to belief: The aesthetic and diversity values of plants and pets in shaping biodiversity loss belief among urban residents" are deposited here.</span></p>
Land_Areas&Values_in_Quito
<p>This dataset contains values of land in the City of Quito</p>
1.Figure cut off value of NLRP3 calculation process by R 2.Normality check results and Variance homogeneity.
Open the record for dataset details and reuse information.
Supplementary Table S1. Combined analysis of variance containing the degrees of freedom (DF), mean squares (MS), P value (P val.), mean, coefficient of experimental variation (CEV%) and selective accuracy (SA) for the traits of luminosity (L*), chromaticity a* (a*), chromaticity b* (b*), grain length (length, mm), grain width (width, mm), grain thickness (thickness, mm), mass of 100 grains (Mass, g), normal grains (Ng, %), water absorption (absorption, %), cooking time (Ct, min:s), and concentrations of potassium (K, g kg-1 dry matter - DM), phosphorus (P, g kg-1 DM), calcium (Ca, g kg-1 DM), magnesium (Mg, g kg-1 DM), iron (Fe, mg kg-1 DM), zinc (Zn, mg kg-1 DM), and copper (Cu, mg kg-1 DM) obtained in 25 common bean cultivars evaluated in four experiments carried out from 2019 to 2021
<p><strong><span>Table S1.</span></strong><span> Combined analysis of variance.</span></p> <p><strong><span>Indirect selection for multiple technological and nutritional traits in common bean cultivars under different degrees of multicollinearity</span></strong></p> <p><strong><span>Bragantia, 2024.</span></strong></p>
Vs30 and f0 values from the Project: Study of Historical Seismicity in Azuay and Seismic Microzonation of the Soils in Cuenca, Ecuador
<p>This study presents 100 Vs30 values and 530 f0 values derived from the project: Study of Historical Seismicity in Azuay and Seismic Microzonation of the Soils in Cuenca, Ecuador. The article, titled 'Seismic Microzonation of Cuenca: Soil Classification Based on Fundamental Frequency and Shear Wave Velocity,' explores the implications of these measurements for understanding local soil behavior under seismic conditions.</p>
Wind Value: Second Conference 2024 End of Life Choices for Wind Farms, Video
<p>Video of Slides written by Dorcas Mikindani presented by Peter Deeney. The topic is the use of real options in wind farm valuation as a guide for decisions at end of life.</p>
Location and plant spacing affect biomass yield and nutritional value of pigeon pea forage
<p>An experiment was conducted to evaluate the effects of row spacing (RS) and interplant spacing (IPS) on the yield of total biomass, leaf, and edible twigs, and nutritive value of pigeon pea,(<i>Cajanus cajan </i>L. Millsp.<i>)</i> at three locations in the Rift Valley area of Ethiopia, using a randomized completed block design with three replications in 3 × 3 factorial arrangement; three RS ( 25, 50, and 75 cm) and three IPS (15, 30, and 45 cm). Row spacing × IPS of 25 × 30 cm and 50 × 15 cm, gave greater total biomass yield than the other RS and IPS combinations. A similar result was found for edible plant yield. At Hawassa the greater leaf CP was found for the wider IPS of 45 cm than the narrower IPS of 30 cm (318 Vs. 303 g kg<sup>-1 </sup>). At Wondo-Genet, the greater leaf in vitro digestible organic matter (597 Vs. 582 g kg<sup>-1 </sup>) was found for the wider RS of 75 cm than narrower RS. Similar to leaf, a better nutritional value of edible twigs was found for a wider RS and IPS than narrower RS and IPS at Hawassa and Wondo-Genet. In contrast at Aliyu-Amab, a better nutritional value of edible twigs was found for narrower RS and IPS than the wider spacing. Thus, it can be concluded that RS × IPS of 25 × 30 cm or 50 × 15 cm are advisable for pigeon pea forage production.</p>
Delta-15N values for leaf and soil samples from a mesocosm experiment looking at dung beetle presence and the movement of dung-derived nitrogen (DDN)
<b>Description: </b><p>We deployed 18 mesocosms into each of the ecosystem types (logged forest and oil palm) in mid-May 2016, to give the soil one month to recover from the disturbance. We constructed mesocosms from black plastic containers, 40 cm diameter and 25 cm high after removing the base. We dug mesocosms 20 cm into the ground leaving 5cm above the surface. We arranged them in a 6 x 3 grid with a minimum of 3 m between each mesocosm to minimise interaction between the soil nutrient cycling in each mesocosm. As proximity of the seedlings to mature trees may increase competition for nitrogen and other nutrients we recorded the distance of each mesocosm to the nearest mature tree (any species with diameter at breast height > 30 cm) for inclusion in our analyses. <br>We randomly selected 12 of the mesocosms, to receive 15N-labelled dung patties weighing 300 ± SD 2.27 g in logged forest and 410 ± SD 2.04 g in oil palm. We populated six randomly selected mesocoms from within those 12 treated with dung with a standardised dung beetle communities (Fig. 1, Table S2). The remaining six mesocosms were left as soil only controls. We covered each mesocosm with a fine nylon mesh secured with a rubber belt to prevent beetles leaving or colonising the mesocosms, and to standardise any microclimatic effects between treatments. However, after 48 hours we opened the dung beetle treatments for a 24 hours period to allow the beetles to emigrate rather than forcing them to artificially stay in the same pat (cf. Roslin 2000; Slade et al. 2017), and then re-covered the mesocosms with netting.<br>We sampled soil seven times from logged forest over the course of the experiment. Any remaining surface dung was removed prior to soil sampling, and replaced thereafter, in order to reduce the possibility of contamination. If a soil core was unsuccessful (most likely due to beetle channels) a second core was taken directly beside. On each sample day, a core of 10cm depth was taken and split into vertical horizons 0- 2cm, 2-5 cm and 5-10cm. <br>We sampled leaves eight times over the eight-month duration of the experiment, with high frequency during the first month, aimed to capture the initial assimilation of DDN into the plants. We collected one leaf from the Dipterocarpaceae or palm seedlings for each sample event. For dipterocarp seedlings we alternated collection of the terminal leaf from top and bottom (leaving the topmost, newest leaf) between consecutive sample days, and for palm seedlings we sampled the two penultimate leaflets from alternating sides of the mid-stem, from the youngest fully formed frond. As assimilated 15N did not plateau in logged forest during the 8-month timeframe of the experiment, we took a sample after 21 months in order to determine whether all DDN had been turned over in the plant biomass after this time.<br>The leaf and soil samples were dried at 60°C for a minimum of 48 hours. We then ground samples to a fine powder using a ball mill (Retsch UK Ltd., Hope, UK). We weighed ground samples into 6 x 4 mm ultraclean tin capsules (Elemental Microanalysis Ltd., Okehampton, UK) using an ultra-microbalance with readability 1 μg (Mettler-Toledo, Greifensee, Switzerland) to provide sufficient elemental carbon and nitrogen for analysis by continuous flow isotope ratio mass spectrometry (SERCON, Crewe, UK). <br>Isotope ratios are expressed in per mil (‰) relative to international reference standards (Rstandard), which are Atmospheric Nitrogen and Vienna PeeDee Belemnite (VPDB) for nitrogen and carbon, respectively. The delta value describes the isotopic composition of each sample, which signifies a measurement of difference relative to laboratory standards. The calculation of δ values is given by: <br>δHX = [(RSAMPLE /RSTANDARD −1)]*1000</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/11"><b>Using stable isotopes to link biogeochemical processes to biodiversity of conservation concern</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Research grant, NE/K016148/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 (374) )</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 JLD.4 (41))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM.1000-2/2 JLD.5 (153))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=5113431">here</a></p><p><b>Files: </b>This consists of 1 file: 3_Kemp_15N_mesocosms_data.xlsx</p><p><b>3_Kemp_15N_mesocosms_data.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>OP leaf</b> (described in worksheet OP_leaf)</p><p>Description: Details the δ15N of leaves sampled in oil palm from palm seedlings across eight sample days up to day 233. </p><p>Number of fields: 13</p><p>Number of data rows: 144</p><p>Fields: </p><ul><li><b>Name</b>: Code for date (ddmm), mesocosms ID and depth (00 = surface; 02 = 2 cm belowground; 05 = 5 cm belowground, and 10 = 10 cm belowground) (Field type: id)</li><li><b>Day</b>: Experimental day as the number of days since day zero (defined by the planting of the seedlings, either dipterocarps or palms) (Field type: id)</li><li><b>Day2</b>: Experimental day as a factor (Field type: id)</li><li><b>Mesocosm</b>: Unique identifier for each of the 18 mesocosms (Field type: id)</li><li><b>Treatment</b>: Treatment assignment (Field type: categorical)</li><li><b>DistMature</b>: Distance from the nearest mature tree (any species with diameter at breast height > 30 cm). (Field type: numeric)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>d15N</b>: the delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>d13C</b>: the delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li></ul></li><li><p><b>LFE leaf</b> (described in worksheet LFE_leaf)</p><p>Description: Details the δ15N of leaves sampled in logged forest, taken from dipterocarp seedlings across nine sample days, up to day 625.</p><p>Number of fields: 13</p><p>Number of data rows: 147</p><p>Fields: </p><ul><li><b>Name</b>: Code for date (ddmm), mesocosms ID and depth (00 = surface; 02 = 2 cm belowground; 05 = 5 cm belowground, and 10 = 10 cm belowground) (Field type: id)</li><li><b>Day</b>: Experimental day as the number of days since day zero (defined by the planting of the seedlings, either dipterocarps or palms) (Field type: id)</li><li><b>Day2</b>: Experimental day as a factor (Field type: id)</li><li><b>Mesocosm</b>: Unique identifier for each of the 18 mesocosms (Field type: id)</li><li><b>Treatment</b>: Treatment assignment (Field type: categorical)</li><li><b>DistMature</b>: Distance from the nearest mature tree (any species with diameter at breast height > 30 cm). (Field type: numeric)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>d15N</b>: the delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>d13C</b>: the delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li></ul></li><li><p><b>LFE soil</b> (described in worksheet LFE_soil)</p><p>Description: Details the δ15N of soil sampled in logged forest across seven sample days up to day 64</p><p>Number of fields: 14</p><p>Number of data rows: 375</p><p>Fields: </p><ul><li><b>Name</b>: Code for date (ddmm), mesocosms ID and depth (00 = surface; 02 = 2 cm belowground; 05 = 5 cm belowground, and 10 = 10 cm belowground) (Field type: id)</li><li><b>Day</b>: Experimental day as the number of days since day zero (defined by the planting of the seedlings, either dipterocarps or palms) (Field type: id)</li><li><b>day2</b>: Experimental day as a factor (Field type: id)</li><li><b>Mesocosm</b>: Unique identifier for each of the 18 mesocosms (Field type: id)</li><li><b>Treatment</b>: Treatment assignment (Field type: categorical)</li><li><b>DistMature</b>: Distance from the nearest mature tree (any species with diameter at breast height > 30 cm). (Field type: numeric)</li><li><b>Depth</b>: The depth which the soil sample was taken from, i.e. 0002 is the horizon between the ground surface and 2 cm belowground (Field type: numeric)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>d15N</b>: the delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>d13C</b>: the delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2016-05-01 to 2017-02-01</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p>
Understanding relational values in cultural landscapes in Romania and Germany
<p>Relational values recently emerged as a concept to comprehensively understand and communicate the many values of nature. Relational values can be defined as preferences and principles about human-nature relationships and focus both on human-nature connections, as well as human-human connections.</p> <p>Here, drawing on 819 face-to-face questionnaires, we analysed relational, intrinsic and instrumental values across a total of six agricultural landscapes in Transylvania (Romania) and Lower Saxony (Germany). The landscapes described a gradient of land use intensity, within and across the countries.</p> <p>Our results suggest a bundling of values into four groups: those concerned with individual cognition (including intrinsic values), those that focus on nature as a place for social interaction and relaxation, those that capture cultural identity and spiritual values and one bundle that only includes instrumental values.</p> <p>These different values, in turn, were strongly related to (i) respondents' attitudes towards environmental conservation and the (ii) frequency with which respondents used nature as a resource. </p> <p>Instrumental values have the tendency to be inversely related with relational values and were found to increase with the land use intensity of the focal landscapes.</p>
Dataset for "Nutritional value and sensory properties of common carp (Cyprinus carpio L.) fillets enriched with sustainable and natural feed ingredients. Food and Chemical Toxicology, 151, 112146."
<p>Dataset for "<em>Nutritional value and sensory properties of common carp (Cyprinus carpio L.) fillets enriched with sustainable and natural feed ingredients.</em><em> <strong>Food and Chemical Toxicology, 151, 112146. </strong>DOI: <a href="https://doi.org/10.1016/j.fct.2021.112197">doi.org/10.1016/j.fct.2021.112197 </a></em>"</p>
KIR3DL1 allotype binding to HLA by Luminex (W632 nomalised values).
<p>HLA-I recognition by KIR3DL1 allotypes was assessed through binding of KIR3DL1 tetramers to beads coated with a panel of 100 different HLA-A, -B, and -C molecules (LABScreen HLA Class I Single Antigen; One Lambda). PE-conjugated KIR3DL1 tetramer (5 µg per test) was incubated with beads for 30 min at room temperature in the dark in 300 mM of phosphate-buffered NaCl (PBS-300) with 5% fetal calf serum (AusGeneX). The beads were then washed three times in PBS-300 with 0.05% Tween 20 and resuspended in PBS-300. Binding was measured on a Luminex platform (LABScan 100; One Lambda) through identification of the individual HLA allotypes via unique bead labeling and detection of tetramer fluorescence intensity on each bead set. Normalized fluorescence values for analysis were obtained using the HLA Fusion software suite (One Lambda) that subtracted background values using the following formula:</p> <p>(<em>S</em>#<em>N</em> − <em>S</em><em>N</em><em>C</em> <em>b</em><em>e</em><em>a</em><em>d</em>) − (<em>B</em><em>G</em>#<em>N</em> − <em>B</em><em>G</em><em>N</em><em>C</em> <em>b</em><em>e</em><em>a</em><em>d</em>), </p> <p>where <em>S</em>#<em>N</em> is the sample-specific fluorescence value (trimmed mean) for bead #<em>N</em>, <em>SNC bead</em> is the sample-specific fluorescence value for the negative control (nude) bead, <em>BG</em>#<em>N</em> is the background negative control fluorescence value for bead #<em>N</em>, and <em>BGNC bead</em> is the background negative control fluorescence value for negative control bead. To obtain binding values for each HLA-I, mean fluorescence intensity (MFI) values for an isotype control (a PE-conjugated IgG) were subtracted from the raw values obtained for each experiment, and recognition was assessed as being higher than that of the tetramer to beads without conjugated HLA-I. MFI values were normalized to the highest value for each experiment and also provided averaged over three experiments.</p>
Values-Based Scenarios of Water Security: Rights to Water, Rights of Waters, and Commercial Water Rights
<p>Figure 2 of the article published in Bioscience titled "Values-Based Scenarios of Water Security: Rights to Water, Rights of Waters, and Commercial Water Rights"</p>
Data - Sow what you sell: strategies for integrating organic breeding and seed production into value chain partnerships
<p>Online survey targeting organic farmers on organic seed use; 25 questions in the survey. The survey was conducted between November 2018 and June 2019 and distributed through the networks of partners involved in the Horizon2020 project LIVESEED, including 23 breeding & research institutes, seven breeding companies, eight seed companies, and 11 organic associations. 752 complete entries by farmers from 20 countries from Central, Northern, Southern and Eastern Europe could be used from the 1,475 total accesses to the survey.</p>
Stress Drop Catalog for "Spatio-temporal evolution of earthquake static stress drop values in the 2016-2017 Central Italy seismic sequence" - Kemna et al. 2021 JGR - Solid Earth
<p>Catalog with stress drop estimates for "Spatio-temporal evolution of earthquake static stress drop values in the 2016-2017 Central Italy seismic sequence"</p> <p>Kemna et al., 2021, JGR: Solid-Earth, https://doi.org/10.1029/2021JB022566.</p> <p>Description of columns:</p> <p><strong>Earthquake information</strong></p> <ul> <li>ID - INGV Earthquake ID</li> <li>Latitude - Latitude in Degrees</li> <li>Longitude - Longitude in Degrees</li> <li>Depth - Depth in km</li> <li>Magnitude_INGV - Magnitude reported by INGV</li> <li>Origin_UTC - UTC Origin Time in ISO Format</li> <li>Catalog - Catalog source of specific event. See section 2.1 for details</li> <li>Profile_distance_norcia - Distance of earthquake from Norcia Mainshock location projected onto a NW-SE trending line</li> <li>Dayafter_20160101 - Day after start of catalog in float</li> </ul> <p><strong>Single spectra fitting estimates</strong></p> <ul> <li>mw_s_mean - Moment Magnitude averaged over station estimates</li> <li>mw_s_err - 95% error (from delete-one jackknife-mean)</li> <li>m0_s_mean - Seismic Moment in Nm averaged over station estimates</li> <li>m0_s_err - 95 % error(from delete-one jackknife-mean)</li> <li>fc_s_sssa_mean - Corner frequency estimate averaged over station estimates</li> <li>fc_s_sssa_err - 95 % error(from delete-one jackknife-mean)</li> <li>strdrop_s_sssa_mean - Stress drop estimate averaged over station estimates</li> <li>strdrop_s_sssa_err - 95 % error(from delete-one jackknife-mean)</li> <li>sample_size_s_sssa - Number of stations with an estimate</li> <li>azimuthal_gap_s_sssa - Maximum azimuthal gap</li> <li>alpha_vel - P-wave velocity in m/s at Hypocenter</li> <li>beta_vel - S-wave velocity in m/s at Hypocenter</li> </ul> <p><strong>Cluster-event method estimates</strong></p> <ul> <li>fc_s_cema_mean - Corner frequency estimated averaged over clusters</li> <li>fc_s_cema_err - 95 % error(from delete-one jackknife-mean)</li> <li>strdrop_s_cema_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> <li>strdrop_s_cema_err - 95 % error</li> </ul> <p><strong>Spectral Ratio fitting estimates</strong></p> <ul> <li>fc1_s_rsta_mean - Target event corner frequency estimate using automatic source spectra fitting averaged over eGfs</li> <li>fc1_s_rsta_err - 95 % error(from delete-one jackknife-mean)</li> <li>strdrop_s_rsta_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> <li>strdrop_s_rsta_err - 95 % error</li> <li>egf_number_rsta_s - Number of eGfs for each target event</li> <li>fc1_s_rrta_mean - Target event corner frequency estimate using semi-automatic spectral ratiofitting averaged over eGfs</li> <li>fc1_strdrop_s_rrta_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> <li>fc2_s_rrea_mean - eGf event corner frequency estimate using semi-automatic spectral ratiofitting averaged over eGfs</li> <li>fc2_strdrop_s_rrea_mean - Stress drop estimate using Magnitude estimate from single spectra fitting</li> </ul> <p><strong>Magnitude-normalized stress drop</strong></p> <ul> <li>prio_strdrop_s - Which type of estimate is used</li> <li>magbin_s - Magnitude bin to which event is associated</li> <li>prio_strdrop_s_magbinmean - Stress drop mean for specific magnitude bin</li> <li>prio_strdrop_s_magbinstderr - 95 % error(from delete-one jackknife-mean)</li> <li>prio_strdrop_s_magnitude-normalized - Magnitude-normalized stress drop estimate</li> </ul>
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.