Find research datasets worth reusing

opencc-by-4.0Dec 2023View details →

High-frequency wind (u, w, v, Ts) and gas concentration measurements of CO2 and H2O over an agricultural field in Braunschweig, Germany

This dataset contains high-frequency eddy covariance (EC) measurements over a flat agricultural field at the Thünen Institute in Braunschweig, Germany (52.30° N, 10.45° E). The data collection period spanned 77 days in the year 2020 split into three files   <table> <tbody> <tr> <td>BS2020_06.rds</td> <td>June 11 to July 15</td> </tr> <tr> <td>BS2020_10.rds</td> <td>October 1 to November 10</td> </tr> <tr> <td>BS_2020_07_subset.rds</td> <td>July 11 to July 25</td> </tr> </tbody> </table>   Included in the dataset are 3D wind velocity data, recorded using a uSonic-3 Class A sonic anemometer from Metek GmbH. Additionally, the dataset provides gas concentration measurements for carbon dioxide (CO2) and water vapor (H2O), captured using an LI-7500A open-path infra-red gas analyzer from LI-COR Biosciences GmbH, Germany. Variables in the dataset <table> <tbody> <tr> <th>Variable Name</th> <th>Description</th> <th>Units</th> </tr> </tbody> <tbody> <tr> <td>time</td> <td>Unique time stamp (POSIXct format)</td> <td>Seconds since Unix epoch</td> </tr> <tr> <td>CO2</td> <td>Wet molar density of carbon dioxide</td> <td>µmol m⁻³</td> </tr> <tr> <td>H2O</td> <td>Wet molar density of water vapor</td> <td>mmol m⁻³</td> </tr> <tr> <td>Ts</td> <td>Sonic temperature</td> <td>Kelvin</td> </tr> <tr> <td>u, v, w</td> <td>3D wind velocity components</td> <td>m s⁻¹</td> </tr> </tbody> </table>     <div> <div> <div> The dataset is in RDS format (version 3), compatible with R version 3.5.0 or higher. RDS is a binary file format native to the R programming environment </div> </div> </div>

opencc-by-4.0Jun 2024View details →

Indentation Fracture and Deformation Data, v. 2

This document (2024) updates and supersedes a prior compilation and analysis (2020) of indentation fracture and deformation data.

opencc-by-4.0Jun 2024View details →

V. S. (v0553)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: V. S. musiXplora-ID: v0553 musiXplora-URI: <a href="https://musixplora.de/mxp/v0553">https://musixplora.de/mxp/v0553</a> Gender: m First Mentioned: 1585 Sectors: Instrumentenbau Professions (Musical): Lautenmacher Other Places of Activity: Italien Titel/Medien: <table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Kirsch 2023</td><td>The Long Lives of Old Lutes. The Cultural and Material History of the Veneration of Old Musical Instruments. Dissertation der Universität Leipzig 2022. . Erschienen als Enhanced Publication. LM-enc Band 2. Schriftenreihe der Forschungsstelle DIGITAL ORGANOLOGY am Musikinstrumentenmuseum der Universität Leipzig. herausgegeben von Josef Focht</td><td><a href="https://musixplora.de/mxp/5034090">5034090</a></td></tr></tbody></table> Ereignisse: <table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Hersteller</td><td></td><td>Herstellung</td><td><a href="https://musixplora.de/mxp/6017407">6017407</a></td></tr></tbody></table> Changelog:   - v0.0.1: Initial Upload.

opencc-by-4.0Jun 2024View details →

Alberto V. Macias (m2845)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: Alberto V. Macias musiXplora-ID: m2845 musiXplora-URI: <a href="https://musixplora.de/mxp/m2845">https://musixplora.de/mxp/m2845</a> Gender: m Date of Birth: 23 April 1937 Place of Birth: San Antonio Date of Death: 16 December 2009 Place of Death: San Antonio First Mentioned: 1949 Sectors: Medien, Zupfinstrumentenbau Professions (Musical): Gitarrenbauer Main Place of Activity: San Antonio Changelog:   - v0.0.1: Initial Upload.

opencc-by-sa-4.0Feb 2018View details →

Appendix S3 from: Droissart V, Dauby G, Hardy OJ, Deblauwe V, Harris DJ, Janssens S, Mackinder BA, Blach-Overgaard A, Sonké B, Sosef MSM, Stévart T, Svenning J-C, Wieringa JJ, Couvreur TLP (2018) Beyond trees: biogeographical regionalization of tropical Africa. Journal of Biogeography. DOI:10.1111/jbi.13190

This dataset corresponds to GIS file that were generated in the study published by Droissart, Dauby et al. in Journal of Biogeography: Droissart V, Dauby G, Hardy OJ, Deblauwe V, Harris DJ, Janssens S, Mackinder BA, Blach-Overgaard A, Sonké B, Sosef MSM, Stévart T, Svenning J-C, Wieringa JJ, Couvreur TLP (2018) Beyond trees: biogeographical regionalization of tropical Africa. Journal of Biogeography. DOI:10.1111/jbi.13190 Please cite the aforementioned article and the dataset herein, when using of any of these files in this dataset.   The GIS file is referred in the paper as Appendix S3 and correspond to the map presented in Figure 1. Each polygons of the shapefile correspond to the main floristic bioregions and transition zones of tropical Africa delimited using bipartite network clustering analysis of 24,719 plant species. The coordinate system of the ESRI shapefile is GCS_WGS_1984. Field descriptions for the associate table are: <ul> <li>bionames: name of the bioregions as given in Table S1.1.</li> <li>bioreg_ID: identifier of the bioregions as given in Table S1.1 and Fig. 1. T= Transition zones</li> <li>cluster_ID: identifier of clusters delimited using bipartite network clustering on the 24,719 plant species of the RAINBIO database, as given in Table S1.1 and Fig. S2.1.</li> </ul>

opencc-zeroNov 2018View details →

Herbarium specimen image of Papaver roseolum M. V. Agab. & Fragman, part of the collection of Botanic Garden and Botanical Museum Berlin

Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published. Content of this deposition: - A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values. - A JPEG image file of the scanned herbarium sheet. - A lossless TIFF image from which the JPEG image has been derived.

opencc-by-sa-4.0Jan 2019View details →

Model of Canine Cancer Incidence (v 2.0)

The table presents the canine cancer incidence and explanatory factors computed within Swiss municipal units. In detail, the table attributes are the following. <ul> <li>localityNumber — the unique identifier of Swiss municipal units in 2013 according to the Swiss Federal Office of Statistics.</li> <li>canineCancer_count — the canine cancer incidence per Swiss municipal unit in 2008 retrieved from Swiss Canine Cancer Registry (SCCR) data.</li> <li>caninePopulation_count — the count of dogs per Swiss municipal unit in 2008 retrieved from Swiss dog census data.</li> <li>canineCancer_ratio — the canine cancer incidence ratio in per thousand per Swiss municipal unit in 2008 combining Swiss Canine Cancer Registry data and Swiss dog census data.</li> <li>femaleRatio_percent — the ratio of female dogs in percent per Swiss municipal unit in 2008 retrieved from Swiss dog census data.</li> <li>ageAverage_years — the average age of dogs in years per Swiss municipal unit in 2008 retrieved from Swiss dog census data.</li> <li>mixedBreed_percent — the ratio of mixed breed dogs in percent per Swiss municipal unit in 2008 retrieved from Swiss dog census data.</li> <li>IncomeTaxProCapita_swissFrancs — the income tax pro capita per Swiss municipal unit in 2008 retrieved from Swiss Federal Tax Administration data.</li> <li>veterinaryCare_distanceMunicipality —distance to the closes veterinary practice in km computed using the areal extent of Swiss municipal units for 2013 computed using Swiss Yellow Page data.</li> <li>veterinaryCare_distanceDasymetric — distance to the closes veterinary practice in km computed using the dasymetrically refined areal extent of Swiss municipal units for 2013 computed using Swiss Yellow Page data.</li> <li>humanDensity_municipality — human population density in 1,000 people/km2 computed using the areal extent of Swiss municipal units in 2008 computed using Swiss Federal Statistical Office data.</li> <li>humanDensity_dasymetric — human population density in 1,000 people/km2 computed using the dasymetrically refined areal extent of Swiss municipal units in 2008  computed using Swiss Federal Statistical Office data.</li> </ul>

opencc-by-4.0Aug 2024View details →

The Time Variable Ionospheric Electric Field (TiVIE) Model Outputs v 1.0

These are the outputs for the TiVIE model v 1.0 produced by Maria-Theresia Walach, Lancaster University for the publication Walach, M.-T., and Grocott, A. (submitted 2024).

opencc-by-4.0Aug 2023View details →

EnergyPROSPECTS Energy Citizenship Factsheet Series, Part 9: Aspects of ENCI V.: Contesting the current system

This document is Part 9 of the EnergyPROSPECTS Factsheet Series. We have created the Series to publish the results of a mapping of energy citizenship in Europe, along with the first stage of our analysis of the respective data. The EnergyPROSPECTS consortium mapped 596 cases of energy citizenship (ENCI) between November 2020 and May 2021 using desk research, collecting data on many aspects of the cases. Although the analysis is a work in progress, we believe it is important to share our data and, through doing this, contribute to the understanding of energy citizenship in Europe. EnergyPROSPECTS (PROactive Strategies and Policies for Energy Citizenship Transformation), a H2020 project between 2021-2024, works with a critical understanding of energy citizenship that is grounded in state-of-the-art social sciences and humanities (SSH) insights.

opencc-by-4.0Sep 2023View details →

Reevaluated P-V-T Dataset for (Mg,Fe)SiO3 post-Perovskite

This is a collection of pressure, volume, and temperature data for (Mg,Fe)SiO3 post-perovskite collected in laser-heated diamond anvil cells.  The volumes and temperatures are collected from previous studies, and the pressures are reevaluated according to the internally consistent pressure scale of Dorogokupets and Dewaele (2007).  A Monte Carlo sampling routine was used to propagate uncertainty from the measured volumes and temperatures, as well as uncertainties in the pressure scale parameters, to the final pressure uncertainties.

openOpenMar 2009View details →

Nitrogen cycling at treeline V. Insitu Nitrogen mineralization

To assess spatial and seasonal patterns of pools and fluxes of dissolved inorganic- N (DIN), amino acid- N (AAN) and microbial biomass N (MBN), we conducted in situ soil incubations at four time periods during May 2001 - May 2002: spring thaw, peak growing season, fall senescence and over-winter. The goal was to be consistent in sampling each of these time periods within each mountain range, which was possible due to the 3-4 week lag in phenology (e.g. budbreak or initiation of senescence) between the southernmost and northernmost sites. Sites were sampled in order from south to north. During the spring 2002 sampling period, soils in the Brooks Range thawed prior to those in the White Mts. and the sampling sequence was adjusted to accommodate this. Within each treeline or forested sub-site, a 50 m transect was established parallel with the slope contour of the mountain. Six points were randomly selected along each transect, and soils were sampled near these points for the entire year. Rates of net DIN mineralization and net AAN production were measured using an in situ buried bag technique (Robertson et al., 1999). We used a 6.7 cm diameter steel corer fitted with a perforated, plastic sleeve to collect paired adjacent soil cores, and sampled below the live moss and detritus layers to a depth of 20 cm. The function of the perforated sleeve was to maintain structural integrity of the soil core during sampling. The perforated sleeve containing the intact core was then placed in a 1 mil breathable polyethylene bag followed by a fine mesh bag, gently returned to the original location, covered with litter and left to incubate. Incubation length was 4 weeks for the spring, growing season, and senescence sampling periods, and from September 2001 to early June 2002 for the over-winter sampling period. The second core in each pair was stored on ice and transported to the laboratory in Fairbanks. Soils were rocky at some sites and sampling to 20 cm was not possible; for these

openOpenAug 2011View details →

Alaskan Peatland Experiment: Community structure and productivity data for 2007-2010 V - Moss NPP

This dataset contains net primary productivity (NPP, g/m2/yr) for sphagnum, feather moss, brown moss and dicranum moss types estimated for 2009 and 2010 at both bog and fen sites of the Alaskan peatland experiment. Within the fen site a water table manipulation has been ongiong since 2005, with control, lowered and raised water table treatment plots. Samples at the bog were collected in a plot established within the lowland black spruce permafrost plateau (permafrost), and two plots established within collapse scars embedded within the plateau. One collapse scar formed ~ 45 years ago (old collapse) and the other formed ~ 25 years ago based upon aerial photography provided by the BCEF LTER. The data provided in this data set can be sorted by site and plot.

openOpenOct 2015View details →

Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: V - Isotape Data 2013

This dataset examines shifts in foliar del N 15 concentations for three plant species found across a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest.

openOpenMar 2020View details →

Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences V - Releve 2015

This data set was collected as a part of Brian Houseman's MS Thesis, Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences (December 2017). Data include releve plant cover estimates (2015). Data were collected on study plots established across two burn scars (2004 Boundary Fire and 1971 Wickersham Dome Fire) within the Yukon-Tanana Uplands ecoregion of interior Alaska.

opencc-by-4.0Jan 2018View details →

Figure 6. Neotrichia collierorum, n in The Trichoptera of Panama V. Descriptions of new species, new country records, and a synonymy

Figure 6. Neotrichia collierorum, n. sp., male genitalia. A) Lateral view. B) Dorsal view. C) Ventral view. D) Phallus, lateral view. E) Phallus apex, dorsal view.

opencc-by-4.0Jan 2018View details →

Figure 3 in The Trichoptera of Panama V. Descriptions of new species, new country records, and a synonymy

Figure 3. Enlarged map showing the two study drainages (Quebrada Grande-left and Quebrada Jaramillo-right), colored in red. Sample stations are indicated by black and blue dots, and their respective altitudes are indicated by the dashed lines and the lateral altitudinal axes (in m asl). Blue dots signify where new species or new country records were taken (see Type Material or Material Examined subsections that follow).

opencc-by-4.0Dec 2019View details →

Abb. 4-7 in Zur Taxonomie und Verbreitung einiger westpaläarktischer Arten der Gattung Planeustomus J V (Coleoptera, Staphylinidae, Oxytelinae)

Abb. 4-7: Aedoeagi von (4) Planeustomus palpalis (ERICHSON), Deutschland, Brandenburg; (5) P. rosti REITTER, Griechenland, Zakynthos; (6) P. elegantulus (KRAATZ), Griechenland, Kreta und (7) P. filiformis QUEDENFELDT, 1882, Holotypus. Massstäbe 0,1 mm.

opencc-by-4.0Dec 2019View details →

Abb. 1-3 in Zur Taxonomie und Verbreitung einiger westpaläarktischer Arten der Gattung Planeustomus J V (Coleoptera, Staphylinidae, Oxytelinae)

Abb. 1-3: Habitus von (1) Planeustomus palpalis (ERICHSON), Deutschland, Brandenburg; (2) P. flavicollis FAUVEL, Deutschland, Rheinland-Pfalz und (3) P. rosti REITTER, Griechenland, Korfu. Massstab 1,0 mm

opencc-by-4.0Jun 2010View details →

Figure 4. Odontoxenus thailandicus. A elytron B pronotum C male abdominal tergite VIII D male abdominal sternite VIII E male abdominal tergite IV & V F female abdominal tergite VIII G in Two new species of Aleocharinae (Coleoptera, Staphylinidae) found in fungus gardens of Odontotermes termites (Isoptera, Termitidae, Macrotermitinae) in Khao Yai National Park, Thailand

Figure 4. Odontoxenus thailandicus. A elytron B pronotum C male abdominal tergite VIII D male abdominal sternite VIII E male abdominal tergite IV & V F female abdominal tergite VIII G median lobe of aedeagus, and H spermatheca.