cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22313686
title: Supplementary Material for: The Diversity of the Brains of Ray-Finned Fishes

description: Brains are very plastic both in response to phenotypic diversity and to larger evolutionary trends. Differences between taxa cannot be easily attributed to either factors. Comparative morphological data on higher taxonomic levels is scarce especially in ray-finned fishes. Here we show the great diversity of brain areas of more than 150 species of ray-finned fishes by volumetric measurements using block face imaging. We found that differences among families or orders are more likely due to environmental needs than to systematic position. Most notable changes are present in the brain areas processing sensory input (chemosenses and lateral line vs. visual system) between salt- and freshwater species due to fundamental differences in habitat properties. Further, some patterns of brain volumetry are linked to characteristics of body morphology. There is a positive correlation between cerebellum size and body depth, as well as the presence of a swim bladder. Since body morphology is linked to ecotypes and habitat selection, a complex character space of brain and body morphology and ecological factors together could explain better the differentiation of species into their ecological niches and may lead to a better understanding of how animals adapt to their environment.
DOI: 10.6084/m9.figshare.22657438
title: Supplementary Material for: Patient and Caregiver Reported Outcome Measures after Single-Level Selective Dorsal Rhizotomy in Pediatric and Young Adult Patients with Spastic Cerebral Palsy

description: Introduction: The aim of this cohort study is to assess the outcome of single-level selective dorsal rhizotomy (SDR) in children and young adults with spastic cerebral palsy (CP) treated at our institution, focusing on patient-reported outcome measures (PROMs) and quality of life (QoL) of patients and their caregivers. Methods: We included consecutive patients undergoing SDR from 2018 to 2020 at our institution. Subjective outcome was measured through PROMs, while functional outcome was measured through baseline characteristics, operative outcome, as well as short- and long-term follow-up. Furthermore, the effect of age at the time of surgery on patient/caregiver satisfaction was analyzed. Results: Seven patients (3 female, 43%) with a median age at surgery of 11.9 years (IQR 8.7-15.5) were included. All patients had a GMFCS score of at least IV before surgery. Five surgeries were palliative and two non-palliative. Based on PROMs, SDR showed very good QoL, and health-related outcome measures for both palliative and non-palliative patients. Patients/caregivers satisfaction was higher for the early subgroup (age ≤ 11) than the late subgroup (age &gt; 11). Functional outcome showed reduced spasticity in both groups. Blood transfusions were never needed, while no CSF leak, infection, or permanent morbidity was seen. Conclusion: Based on PROMs, SDR leads to high satisfaction and improved QoL, especially if done at an early age. Further studies with larger cohorts are necessary to underline and confirm our observations.
DOI: 10.24381/cds.32b04ec5
title: UERRA regional reanalysis for Europe on single levels from 1961 to 2019
DOI: 10.5281/zenodo.4247873
title: Protocol and data analysis scripts for high-throughput phenotyping of specific root respiration

description: This repository contains a PDF written protocol with figures describing a method for measuring root respiration using an infrared gas analyzer (LI-850) and the R script necessary for processing the text files to derive CO<sub>2</sub> flux. Just download the ZIP file, unzip locally, open either the PDF or the .R file. <strong>root_respiration_protocol.pdf </strong>- The illustrated protocol includes instruments and parts needed. <strong>root_respiration_script.R - </strong>A script for processing the included 15 <em>.txt </em>files as examples from a LI-850 Gas Analyzer and extract absolute CO<sub>2</sub> flux with example code for how to incorporate root mass or length to derive specific root respiration. It is intended to run directly in RStudio and will automatically set the working directory in that case. <strong>Please cite this repository if the protocol or R script is used in your work. </strong> Guo, H., Ayalew, H., Seethepalli, A., Dhakal, K., Griffiths, M., Ma, X., York, L. M. (2020). Protocol and data analysis scripts for high-throughput phenotyping of specific root respiration [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4247873 <strong>The first manuscript using and describing this method is available:</strong> Guo, H., Ayalew, H., Seethepalli, A., Dhakal, K., Griffiths, M., Ma, X., York, L. M. (2021). Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture. <em>New Phytologist. DOI: 10.1111/nph.17329</em>
DOI: 10.5281/zenodo.7791447
title: NE Caribbean paleomagnetic dataset

description: The data are used for the paleomagnetic analysis presented in the paper : "Paleomagnetic rotations in the North-eastern Caribbean region reveal major intraplate deformation since the Eocene" published in Tectonics in 2023.
DOI: 10.5066/f7w37tdp
title: Estimates of Subsurface Tile Drainage Extent for 12 Midwest States, 2012

description: This dataset is a 30-meter resolution raster of estimated extent of subsurface tile drainage developed from tabular data of state-level estimates of agricultural land drained by tiles combined with geospatial cropland and soils in 12 Midwest States (SD,NE, KS, MN, IA, MO, WI, IL, MI, IN, OH, and KY). This dataset was created from the following four sources: 1) state-level acreages of agricultural &amp;amp;quot;land drained by tiles&amp;amp;quot; from the 2012 Census of Agriculture (U.S. Department of Agriculture, 2015a); 2) the extent of cultivated cropland from the National Land Cover Dataset (NLCD) 2011 (Homer and others, 2015; U.S. Geological Survey, 2014a); 3) the extent of poorly and moderately drained soils from the State Soil Geographic Database (STATSGO) database Version 2 (U.S. Department of Agriculture, 2006); and 4) state administrative boundaries (U.S. Geological Survey, 2014b). The area of drained land was evenly allocated to potentially drained land for agriculture - cropland with poorly drained soil - except in Iowa. For Iowa, because the reported area of land drained by tiles exceeded the area of cropland on poorly drained soils, the additional area of subsurface tile drains above the area of cropland on poorly drained soils was assigned to land characterized as cropland with moderately drained soil. The estimated extent of subsurface tile drains in each cell is expressed in square meters.
DOI: 10.5281/zenodo.6901821
title: Assessing the role of soil microbes in the dynamics of P release from poorly soluble P forms

description: Dataset and script used for the publication <em>Assessing the role of soil microbes in the dynamics of P release from poorly soluble P forms, </em>doi (to be determined).
DOI: 10.5286/isis.e.rb1910412-1
title: 1910412
DOI: 10.6084/m9.figshare.1243545
title: Data for "Hurt feelings and four letter words: Swearing alleviates the pain of social distress"

description: Data sets and codebooks for pilot study and experiment referenced in the article "Hurt feelings and four letter words: Swearing alleviates the pain of social distress"
DOI: 10.6084/m9.figshare.13089296.v1
title: litter decomposition

description: Litter decomposition data is the complete database for litter dynamics analysis. Other files with soil moisture included in the name were used for soil moisture analysis or to paint the graphs. Precipitation1 file was the raw data about rainfall in the study site during the experiment. Basaarea_Data and hemisferic are databases used for the analyses that exclude initial differencesFiles .R have the code for the statistical analysis
DOI: 10.18739/a2ht2gb80
title: Acoustic Dopper Current Profiler (ADCP) from moorings taken in the Eurasian and Makarov basins, Arctic Ocean, 2015-2018

description: This archive includes NABOS-II ADCP (Acoustic Doppler Current Profiler) current meter mooring data collected in the eastern Eurasian Basin and Laptev/East Siberian Sea in 2015-2018. Each file contains the date of ADCP measurements, the depths of the ADCP bins, and data collected on the eastward and northward velocity provided by each ADCP bin. " adcp.zip" is a zipped directory containing all of the files, included for convinience.
DOI: 10.18739/a2n37r
title: NABOS II - Mooring Data 2013 - 2015
DOI: 10.21227/h2xm2p
title: IEEE Signal Processing Cup 2018 Database - Forensic Camera Model Identification
DOI: 10.4121/22059227
title: Data from paper Diameter Dependence of Transport through Nuclear Pore Complex Mimics Studied Using Optical Nanopores

description: The datasets are organized in different parts, one in each zip file. There is a readme that describes the use of them.
DOI: 10.5066/f7h13033
title: Lab tests for specimens from Mukilteo, WA, 2016

description: This data release includes the detailed results from laboratory testing of colluvium and landslide deposit specimens collected from coastal bluffs near Mukilteo, Washington.
DOI: 10.5066/p9o00z44
title: Repeat measurements of bathymetry, streamflow velocity and sediment concentration made during a high flow experiment on the Colorado River in Grand Canyon, March 2008

description: The acoustic Doppler current profiler (ADCP) data were collected and compiled to characterize the velocity patterns in channel of the Colorado River and in an adjacent zone of laterally recirculating flow (eddy). Topographic/bathymetric digital elevation models (DEMs) were collected and compiled to characterize erosion and deposition in the Colorado River and in an adjacent zone of laterally recirculating flow (eddy). Profiles of suspended-sediment concentration were also collected and compiled to characterize suspended sediment in the Colorado River. These datasets were collected during both average flow conditions and during a controlled flood that occurred in March 2008. Objectives of the study were to measure changes in velocity and flow structure, changes in sandbar morphology, and changes in suspended sediment during changes in discharge associated with the controlled flood. These data were collected between March 4 and March 10, 2008 in a 1-mile study reach on the Colorado River within Grand Canyon National Park beginning 44.5 miles downstream from Lees Ferry, Arizona. Data were collected by the USGS Grand Canyon Monitoring and Research Center with cooperators from Northern Arizona University and funding provided by the Glen Canyon Dam Adaptive Management Program. The ADCP data can be used to study streamflow velocity patterns in zones of recirculating flow, which can be used in predictions of sediment transport and can be used to develop, calibrate, and verify streamflow models. DEM data can be used to study changes in channel morphology associated with changes in streamflow conditions. Lastly, the suspended-sediment concentration profile data can be used to study suspended sediment concentration, which can be used in predictions of sediment transport and can be used to develop, calibrate, and verify transport models.
DOI: 10.5281/zenodo.8046792
title: Processed EKE from FESOM-SO3

description: EKE datasets calculated from FESOM model output on the SO3 mesh and interpolated to a regular grid. Data processing is described in https://doi.org/10.5281/zenodo.8046783.
DOI: 10.5286/isis.e.rb1910180
title: Structural and Magnetic Behaviour of PrCrO3 at High Pressure

description: The application of hydrostatic pressure tunes the interatomic separations within a compound, causing changes in the electronic structure. This alters many other material properties, such as the form of magnetic ordering. With pressure tuning, properties can often be more rapidly and cleanly optimised than with chemical tuning, which necessitates the exploratory synthesis of a large number of different materials. We propose to study the changes which  pressure has on the magnetic and structural behaviour of PrCrO3. At ambient pressure the material is  anti-ferromagnetic material and crystallises with orthorhombic symmetry (space group Pnma) see Figure 2. Room temperature compression will allow us to study purely structural phenomena in the sample, whilst compression below the Neel temperature will allow us to determine changes in the magnetic ordering with applied pressure.
DOI: 10.6084/m9.figshare.22132121
title: Supplementary Material for: Comparison of the soluble fms-like tyrosine kinase 1/ placental growth factor-ratio alone versus a multi-marker regression model for the prediction of preeclampsia-related adverse outcomes after 34 weeks of gestation

description: Introduction: The objective of this retrospective study was to compare the predictive performance of the soluble fms-like tyrosine kinase 1 (sFlt-1) / placental growth factor (PlGF)-ratio alone or in a multi-marker regression model for preeclampsia-related maternal and/or fetal adverse outcomes in women &gt;34 weeks of gestation. Methods: We analyzed the data collected from 655 women with suspected preeclampsia. Adverse outcomes were predicted by multivariable and univariable logistic regression models. The outcome of patients was evaluated within 14 days after presentation with signs and symptoms of preeclampsia or diagnosed preeclampsia. Results: The full model integrating available, standard clinical information and the sFlt-1/PlGF-ratio had the best predictive performance for adverse outcomes with an AUC of 72.6%, which corresponds to a sensitivity of 73.3% and specificity of 66.0%. The positive predictive value of the full model was 51.4% and the negative predictive value was 83.5%. 24.5% of patients, who did not experience adverse outcomes but were classified as high risk by sFlt-1/PlGF-ratio (≥38), were correctly classified by the regression model. The sFlt-1/PlGF-ratio alone had a significantly lower AUC of 65.6%. Conclusions: Integrating angiogenic biomarkers in a regression model improved the prediction of preeclampsia-related adverse outcomes in women at risk after 34 weeks of gestation.
DOI: 10.6084/m9.figshare.4205226
title: Photo-Identification Catalogue of Norwegian killer whales 2007-2021

description: The identification catalogue presents an overview of individual killer whales identified between 2007 and 2021 in Norwegian coastal and offshore waters.<br>
DOI: 10.48786/edbt.2023.13
title: Maliva: Using Machine Learning to Rewrite Visualization Queries Under Time Constraints
DOI: 10.5066/p97j9gu8
title: LEAN-corrected San Francisco Bay digital elevation model, 2018

description: Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA Sea-Level Rise Viewer DEM to create a new seamless DEM for the San Francisco Bay. Across all GPS points, mean initial lidar error was 22.8 cm (SD=12.0) and root-mean squared error (RMSE) was 25.8 cm. After correction with LEAN, mean error was 0 (SD=0.07) and RMSE was 7.4 cm. References: Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.
DOI: 10.5066/p98ctclj
title: Air, plant, and unsaturated-zone tritium and plant-metrics data, Amargosa Desert Research Site, Nye County, Nevada, 2012?2016
DOI: 10.5067/gpm/dpr/gpm/2a/06
title: GPM DPR Precipitation Profile L2A 1.5 hours 5 km V06
DOI: 10.5281/zenodo.3813145
title: CHAMP and Swarm solar activity- and height-scaled polar cap plasma density measurements

description: Solar activity- and height-adjusted plasma density measurements in the polar cap (i.e., above 80° latitude in Modified Apex<sub>110</sub> coordinates) from the Swarm and CHAMP satellites. covering the entire CHAMP mission period (2002–2009) and the Swarm mission period from launch through February 2020. Plasma density measurements are scaled to a nominal solar activity level of &lt;<em>F</em>10.7&gt;<sub>27</sub> = 80 sfu, and an altitude of 500 km, as described in Hatch et al. (submitted to JGR: Space Physics; ESSOAr pre-print) This dataset was prepared as a part of the "Swarm+ Coupling High-Low Atmosphere Interactions: Ion Outflow" project (project website) (ESA website), and is funded by European Space Agency Contract #4000126731. Data are stored in HDF5 format as a Python Pandas dataframe. They can be loaded into Python via the following. <pre><code class="language-python">import pandas as pd df = pd.read_hdf('CHAMP_Swarm_polarcap_adjDensity.hdf',key='df')</code></pre> The data columns are 'NeAdj' : Solar activity- and height-adjusted plasma density (cm<sup>-3</sup>) 'a110lat' : Modified Apex<sub>110</sub> latitude (deg) 'a110lon' : Modified Apex<sub>110</sub> longitude (deg) 'mlt' : Modified Apex<sub>110</sub> magnetic local time 'h_km' : satellite altitude (km) 'gclat' : geocentric latitude (deg) 'gclon' : geocentric longitude (deg) 'sat' : satellite identifier (string, one of 'A', 'B',' 'C', or 'CHAMP')
description: {"references": ["Hatch et al. (submitted to JGR: Space Physics), \"Seasonal and hemispheric asymmetries in the cold ion outflow source region: Swarm and CHAMP observations of F-region polar cap plasma density\", pre-print doi:10.1002/essoar.10502854.1"]}
DOI: 10.5281/zenodo.4931348
title: THEMIS-derived Thermal Inertia of Jezero Crater, Mars

description: The Thermal Emission Imaging System (THEMIS) inertia mosaic of Jezero Crater was created following the methods of Edwards et al. (2011) and Edwards et al. (2018) with modifications following THEMIS thermal inertia generation in Piqueux et al. (2019). First individual THEMIS images were processed following standard nighttime image processing procedures for THEMIS data (Edwards et al., 2011). Then individual images where processed to thermal inertia using the methods of Edwards et al. (2018), which were updated in Piqueux et al. (2019) to modify the derivation method to use TES albedo as opposed to THEMIS albedo. The outcome of this process results in a product that is similar to the thermal inertia derived by Edwards and Ehlmann (2015) where small scale albedo differences can cause ~20 J/m<sup>2</sup>/K<sup>1</sup>/s<sup>1/2</sup> differences with units of the same thermal inertia. Following the production of thermal inertia, individual images were allowed to be offset by matching the average thermal inertia of overlapping regions, resulting in a maximum of ~20 J/m<sup>2</sup>/K<sup>1</sup>/s<sup>1/2</sup> offset, well within the derivation uncertainty when accounting for THEMIS temperature uncertainty (e.g. Fergason et al., 2006). Images were then mosaicked following the standard processes for creating quantitative mosaics (Edwards et al., 2011) with overlapping regions being linearly blended together via a two dimensional linear ramp. The image is in GeoTIFF format, has a null (black space) value of 0, and units of J/m<sup>2</sup>/K<sup>1</sup>/s<sup>1/2</sup> <br>
description: Funding for this dataset is provided by the 2001 Mars Odyssey Project - THEMIS Instrument
description: {"references": ["Edwards, C. S., Nowicki, K. J., Christensen, P. R., Hill, J., Gorelick, N., & Murray, K. (2011). Mosaicking of global planetary image datasets: 1. Techniques and data processing for Thermal Emission Imaging System (THEMIS) multi-spectral data. Journal of Geophysical Research-Planets, 116. doi: 10.1029/2010JE003755", "Edwards, C. S., Piqueux, S., Hamilton, V. E., Fergason, R. L., Herkenhoff, K. E., Vasavada, A. R., Bennett, K. A., Sacks, L., Lewis, K. W., & Smith, M. D. (2018). The Thermophysical Properties of the Bagnold Dunes, Mars: Ground-Truthing Orbital Data. Journal of Geophysical Research: Planets, 123(5), 1307-1326. doi: 10.1029/2017je005501", "Edwards, C. S., & Ehlmann, B. L. (2015). Carbon sequestration on Mars. Geology, 43(10), 863-866. doi: 10.1130/G36983.1", "Fergason, R. L., Christensen, P. R., & Kieffer, H. H. (2006). High resolution thermal inertia derived from THEMIS: Thermal model and applications. J. Geophys. Res., 111, E12004. doi: 10.1029/2006JE002735", "Piqueux, S., Buz, J., Edwards, C. S., Bandfield, J. L., Kleinb\u00f6hl, A., Kass, D. M., Hayne, P. O., MCS, & Teams, T. (2019). Widespread Shallow Water Ice on Mars at High Latitudes and Midlatitudes. Geophysical Research Letters, 46(24), 14290-14298. doi: 10.1029/2019GL083947"]}
DOI: 10.5281/zenodo.8022823
title: Effects of Precipitation Latent Heating on Structure and Evolution of Northeast China Cold Vortex: A PV Perspective

description: This is the dataset used in the paper entitled "Effects of Precipitation Latent Heating on Structure and Evolution of Northeast China Cold Vortex: A PV Perspective" by Ziqi Fan, Ming Xue, Kefeng Zhu, Liping Luo, Zongting Gao and Shangfeng Li.