Find research datasets worth reusing

opencc-by-4.0Jun 2024View details →

STRIDE I-5 Project Materials

This folder contains  products developed from STRIDE I-5 project. This project builds on a previously funded STRIDE project (D4) where a simulation extension was built using the micro simulator VISSIM to accurately represent vehicle autonomy and connectivity, and their operational and environmental effects. In this project, the research team expanded the functionality of the simulation extension to: i.              Model human driven vehicles in the presence of AVs. An aggressive merging behavior model was implemented in VISSIM to study potential queue-jumping behavior at a freeway on-ramp. The research team also considered implementing this model in the open-source simulator SUMO. ii.             Consider advanced vehicle dynamics and enable users to customize driver, vehicle, operating environment, and operating mode separately. iii.            Incorporate a real-time optimization tool (RIO) previously developed with funding from the National Science Foundation (NSF). RIO jointly optimizes vehicle trajectories and signal control by taking advantage of CAV technologies.   In this project, the research team conducted the following educational activities: i.              Developed and conducted a nation-wide survey to understand the needs of the CAV education. ii.             Developed six instructional modules for CAV education. iii.            Developed a training module to model CAVs in microsimulation environment.   The products developed from this project are: i.              An enhanced simulation extension that can be used as a “plug and play” solution to model CAVs and human driven vehicles in presence of CAVs with options to consider advanced vehicle dynamics and incorporate signal/trajectory optimization. ii.             Educational modules on how CAVs impact planning, design, modeling, and analysis of transportation facilities along with a training module to model CAVs using VISSIM.

opencc-by-4.0Jun 2024View details →

Dataset for microbial community and carbon use efficiency determined under SPP project- CueNosc

This dataset encapsulates molecular and biothermal data derived from the CueNosc sub-project, which operates under the umbrella of the German research initiative "SoilSystems: Systems Ecology of Soils – Energy Discharge Modulated by Microbiome and Boundary Conditions." This initiative is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) as part of the priority program 2322. We carried out a microcosm incubation experiment utilizing both intact soil samples and soil-free microbial cell extracts (SFCE). The primary aim was to assess the impact of various carbon substrates—including glucose, glutamine, glycerol, and citric acid—on microbial communities' dynamic and their carbon use efficiency (CUE). The data collected includes detailed analyses of microbial community composition at the phylum level and CUE values. Carbon use efficiency was obtained by calculating the calorespirometric ratio (metabolic heat production to respiration).

Biomass production of experimental grassland communities in urban context within LandKlif project

Mixtures of grassland communities (three different compositions) were sown in urban experimental areas to compare in biodiversity and functioning to standard urban lawns (56 plots, 2 x 4 m each) in Munich and Weihenstephan in 2020. Two samples (20 x 20 cm) per experimental plot were clipped in August 2021, sorted by functional type, oven-dried and weighed. For integrity of the database, all field experimental units of this study are associated to Plot ID 7835_1_U, but the variable PlotID is deprecated. LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif).  Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.

opencc-by-4.0Dec 2011View details →

Fig. 1. Projection cover during vegetation period Fig. 2 in P H E N O L O G Y O F H E R B A C E O U S V Eg E Tat I O N I N Br Oa Dl Eaved Fo Res T O F K Am Sa Bo Tanic Al - Zoological Reserve

Fig. 1. Projection cover during vegetation period Fig. 2. Phenological spectrum of herbs in a) in a) 2009, b) 2010. 2009, b) 2010.

FIGURE 4 in Towards sustainable treatments to preserve fossils from weathering, as part of the garden redevelopment project at the Natural History Museum

FIGURE 4. Graph showing the cumulative weight gain on tape peels, which equate to cumulative loss of surface material.

FIGURE 2 in Towards sustainable treatments to preserve fossils from weathering, as part of the garden redevelopment project at the Natural History Museum

FIGURE 2. One of the ornithopod footprints from the Purbeck Group Durlston Formation, Stair Hole Member, with yellow outline showing approximate shape of impression.

FIGURE 1 in Towards sustainable treatments to preserve fossils from weathering, as part of the garden redevelopment project at the Natural History Museum

FIGURE 1. Ammonites from the Portland Stone Formation Tisbury Member can be seen on the facing-left of this image, and fossil tree sections from the Purbeck Group Lulworth Formation on the facing-right.

FIGURE 3. Trackway block samples after 3 in Towards sustainable treatments to preserve fossils from weathering, as part of the garden redevelopment project at the Natural History Museum

FIGURE 3. Trackway block samples after 3 treatments with CaLoSiL® E25 (no TiO2) at x10000 magnification, top left: ornithopod trackway before treatment; bottom left: ornithopod trackway after treatment; top right: theropod trackway before treatment; bottom right: theropod trackway after treatment. EHT 6.00kV, Signal A SE2, WD 8.1 mm, Magnification 10000 x.

opencc-by-4.0Jun 2024View details →

Dataset for SNSF Project 'Green Piezo' (Grant no. 179064)

This data set contains the data collected during the FNS project Green Piezo (Green biodegradable piezoelectric electronic and microsystems, Grant no. 179064). With the continuous increase of electronic waste, the main research topic of this project is the development of green electronic and microsystems with a focus on piezoelectric transducers. The latter are currently made using materials can be harmful to the environment, even toxic such as lead zirconate titanate, and structured using mainly cleanroom processes. The realization of more sustainable piezoelectric microsystems is based here on an approach involving the use of degradable materials and their patterning using additive manufacturing, i.e. printing.    The objectives of the project were: •    The development of a piezoelectric ink processed by printing at temperatures compatible with sensitive biodegradable cellulosic and biopolymer substrates;  •    Integration of the piezoelectric material with degradable electrodes fully by printing; •    Demonstration of the applicability and valorisation of the developed technologies through the realization of different types of ecoresorbable and bioresorbable microsystems, such as physical and chemical sensors, and actuators.  The data present in this data set contains the following elements: (i) electrical and piezoelectric properties and process optimization for conductive and piezoelectric eco-friendly and biodegradable inks, (ii) optical and topology images and data of the resulting printed layers, (iii) data pertaining to the behavior and functionality of sensors and actuators based on these inks and finally (iv) the design files used to print these devices. A more in-depth description is given in README.txt file attached to the data set.

opencc-by-4.0Dec 2023View details →

Protein haplotype sequences obtained by ProHap from the 1000 Genomes Project data set

Database of protein sequences obtained using ProHap (<a href="https://github.com/ProGenNo/ProHap">https://github.com/ProGenNo/ProHap</a>) on the data set of phased genotypes published by the 1000 Genomes Project, aligned with the GRCh38 genome build (<a href="https://www.internationalgenome.org/data-portal/data-collection/grch38">https://www.internationalgenome.org/data-portal/data-collection/grch38</a>). We used Ensembl v.110 for the mapping of coordinates between genes, exons, and transcripts. The complete configuration file for each ProHap run is attached to this repository. This data set contains six compressed directories, five representing the superpopulations included in the 1000 Genomes Project (<a href="https://catalog.coriell.org/1/NHGRI/Collections/1000-Genomes-Project-Collection/1000-Genomes-Project">https://catalog.coriell.org/1/NHGRI/Collections/1000-Genomes-Project-Collection/1000-Genomes-Project</a>), and one created using all the samples included in the 1000 Genomes data set: <ul> <li>AFR - African</li> <li>AMR - American</li> <li>EUR - European</li> <li>SAS - South Asian</li> <li>EAS - East Asian</li> <li>ALL - all participants in the 1000 Genomes Project</li> </ul> Each of the directories contains the following files: <ul> <li>F1: The concatenated fasta file ready to be used with search engines, contains the following: <ul> <li>Protein haplotype sequences obtained by ProHap, using alleles with at least 1 % frequency within the selected population</li> <li>Reference proteome as per Ensembl v. 110</li> <li>Contaminant sequences from the cRAP project (<a href="https://www.thegpm.org/crap/">https://www.thegpm.org/crap/</a>)</li> <li>The file is provided in two formats - full and simplified. The simplified fasta contains only the artificial protein identifier and the matching gene name, and is optimised for compatibility with a wide range of tools. For annotation of peptides using the PeptideAnnotator, please provide the header (F1.2) in addition to the simplified fasta file. </li> </ul> </li> <li>F2: Additional information about the haplotype sequences, to be used for mapping identified peptides to the original haplotypes</li> <li>F3: Translations of haplotype cDNA sequences, before merging with the reference proteome</li> </ul> For further description of the files, please refer to <a href="https://github.com/ProGenNo/ProHap/wiki/Output-files">https://github.com/ProGenNo/ProHap/wiki/Output-files</a>. For the usage of these databases with search engines, and downstream anaylsis of identified peptides, please refer to the project's wiki page: <a href="https://github.com/ProGenNo/ProHap/wiki/Using-the-database-for-proteomic-searches">https://github.com/ProGenNo/ProHap/wiki/Using-the-database-for-proteomic-searches</a>. When using these databases in your publication, please cite: Va&scaron;íček, J., Kuznetsova, K.G., Skiadopoulou, D. et al. ProHap enables human proteomic database generation accounting for population diversity. Nat Methods (2024). <a href="https://doi.org/10.1038/s41592-024-02506-0">https://doi.org/10.1038/s41592-024-02506-0</a>

Variable vertical land motion for sea level rise projections

<h1>Data for Govorcin et al., 2024:  Variable vertical land motion for sea level rise projections [submitted for publication].</h1> Disclaimer: Data is subject to change due to the review process. Repository Contains: <ul> <li> Vertical Land Motion over California <ul> <li>Reference: International Terrestrial Reference System, solution 2014 (ITRF2014)</li> <li>Period: 2015-2023</li> <li>Data Type: GeoTIFF</li> <li>Unit: mm/yr</li> </ul> </li> <li> Vertical Land Motion (Propagated) Formal Uncertainties (Rates Std.) over California <ul> <li>Reference: International Terrestrial Reference System, solution 2014 (ITRF2014)</li> <li>Period: 2015-2023</li> <li>Data Type: GeoTIFF</li> <li>Unit: mm/yr</li> </ul> </li> <li> Vertical Land Motion Temporal Variability over California <ul> <li>Period: 2015-2023</li> <li>Data Type: GeoTIFF</li> <li>Unit: mm/yr</li> </ul> </li> <li> Archive: Output HDF5 (Mintpy format) and GNSS Files <ul> <li>Includes <code>velocity.h5</code>, <code>geometry.h5</code>, <code>gnss_model</code>, <code>calibrated_velocity.h5</code>, <code>CA_3D_rates.h5</code>, and <code>temporal variability</code> per track and merged, projected to vertical. See README for more information.</li> </ul> </li> </ul> <h2>Citation:</h2> If you use this data in your work, research or publication, please cite the following article: Govorcin, M. Bekaert, D., Hamlington, B., Sangha, S., Sweet, W. (2024). Variable Vertical Land Motion for Sea Level Rise Projections, 01 August 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-4676043/v1] <h2>Acknowledgment</h2> The research was conducted at the Jet Propulsion Laboratory, California Institute of Technology. This research was supported by the Observational Products for End-Users from Remote Sensing Analysis (OPERA) project (<a href="https://www.jpl.nasa.gov/go/opera" target="_blank" rel="noopener">https://www.jpl.nasa.gov/go/opera</a>), managed by the Jet Propulsion Laboratory and funded by the Satellite Needs Working Group, that is creating remote sensing products to address Earth observation needs across U.S. civilian federal agencies.

FIGURE 8 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists

FIGURE 8. Social network graphs of myFOSSIL. (1) friendships on myFOSSIL.org with the FOSSIL Project staff (blue triangles), PaleoBlitz participants (orange circles), and myFOSSIL members (purple squares). (2) Friendships on myFOSSIL.org between PaleoBlitz participants and myFOSSIL members, without the FOSSIL Project staff. Created on NodeXL Pro (http://nodexl.codeplex.com) from the Social Media Research Foundation (http://www.smrfoundation.org).

FIGURE 6 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists

FIGURE 6. Changes made by participants to their existing collections two months after the PaleoBlitz.

FIGURE 4 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists

FIGURE 4. Self-perceived knowledge regarding the museum curation process, from the point a fossil enters the museum until it is recorded in a collection, prior to the PaleoBlitz. (1) responses from all applicants (N=23) and (2) responses from applicants selected to participate in the PaleoBlitz (N=13).

FIGURE 2 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists

FIGURE 2. Flow chart indicating the alignment of data collection methods to the program goals. Desired outcomes are aligned to each goal: adoption of best practices throughout the museum curation process (Improved Practice); support the practice of paleontology by increasing confidence and expanding participants' personal paleontology network (Sustained Practice); and improve the structure of the PaleoBlitz through participant feedback (Refined Design).

FIGURE 1 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists

FIGURE 1. Participants engaging in the museum curation process during the PaleoBlitz: (1) participants working together to identify and catalog specimens from the Belgrade Quarry; (2) collaborative collecting in Possum Creek, Gainesville, Florida; (3) PaleoBlitz participant and FLMNH staff discussing fossil identifications; (4) field sorting specimens; and (5) experiencing curation and exhibiting practices in the Gordon Hubbell collection. Photographs by Jeff Gage.

Рис. 4. Нора поΑземной поΛевки (компΛекс KS-11, октябрь 1984 г., «Αес на ВорскΛе»). А — горизонтаΛьная проекция; Б — боковая реконструкция Fig. 4. A common pine vole burrow (complex No. KS-11, October, 1984; "Forest on the Vorskla"). A — horizontal projection; Б — lateral projection in Spatial Organization Of Common Pine Vole (Microtus Subterraneus Selys-Longchamps, 1836) Colonies

Рис. 4. Нора поΑземной поΛевки (компΛекс KS-11, октябрь 1984 г., «Αес на ВорскΛе»). А — горизонтаΛьная проекция; Б — боковая реконструкция Fig. 4. A common pine vole burrow (complex No. KS-11, October, 1984; "Forest on the Vorskla"). A — horizontal projection; Б — lateral projection

opencc-by-4.0Feb 2023View details →

Fig. 36 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II

Fig. 36. Gerdocypris nipponica (Okubo, 1980). A. whole animal (up) and left valve (bottom) (female); B. hemipenis; C. distal part of L7 (male); D. Uropodal Ramus (male); E. A1 (male); F. A2 and Md.

opencc-by-4.0Feb 2023View details →

Fig. 27 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II

Fig. 27. Paramphiascella vararensis (Scott T., 1903), female. A. dorsal view; B, lateral view. Scale bars = 200 μm.