Find research datasets worth reusing

opencc-by-4.0Oct 2019View details →

ENABLE.EU H2020 project dataset and questionnaire from a survey of business enterprises on energy use and energy choices

The ZIP archive includes the anonymized micro-data (survey results) and the respective questionnaire from the online survey among the business enterprises in eleven countries, conducted as part of the H2020 project "<a href="http://www.enable-eu.com/">Enabling the Energy Union through understanding the drivers of individual and collective energy choices in Europe</a>" (ENABLE.EU). The countries are: Bulgaria, France, Germany, Hungary, Italy, Norway, Poland, Serbia, Spain, Ukraine, and the United Kingdom. The dataset consists of 215 completed and 505 uncompleted questionnaires (cases). The ZIP archive includes the following files: <ul> <li>ENABLE.EU survey questionnaire for business enterprises in PDF format;</li> <li>ENABLE dataset from the survey of business enterprises in SAV format for IBM SPSS;</li> <li>ENABLE dataset from the survey of business enterprises in DTA format for STATA (the dataset is produced by simple export from SAV format and could contain some differences due to export limitations; If possible, we recommend to use the SAV-SPSS format);</li> <li>ENABLE dataset from the survey of business enterprises in XLSX format for Microsoft Excel, which includes also corresponding tables for the labels of questions and answers.</li> </ul> For more information about the survey methodology and survey results please see: D3.1 Final report on comparative sociological analysis of the business enterprises' survey under the section <a href="http://www.enable-eu.com/downloads-and-deliverables/">Downloads / Deliverables</a> at the ENABLE.EU web-site.

opencc-by-4.0Nov 2019View details →

GATEMAN project -- D8.2 -- Field experiments raw data

This dataset contains a .zip file (RawData.zip) with some of the raw files recorded during the open-field experimentation campaign in the frame of the GATEMAN project. These files are grouped for each type of validation scenario defined. The scenarios are separated in jamming and spoofing cases (JAM:Jamming, SPO:Spoofing) and classified according to the zone (Z1: Zone 1, Z2: Zone 2) and the vehicle motion (S:Static, D:Dynamic). Also the reference document of the deliverable D8.2 is included here. Dataset Structure: ├── Jamming     ├── OF-JAM-Z2-D-Test 11            └── Test_11.bin     ├── OF-JAM-Z2-D-Test 12            └── Test_12.bin     ├--─ OF-JAM-Z2-D-Test 13            └── Test_13.bin      ├── GNURadio           └── SingleTone.grc ├── Spoofing    ├── OF-SPO-Z2-S-Test 1           └── Master_Test1.sbf           └── Slave_Test1.sbf  ├── OF-SPO-Z2-S-Test 5           └── Master_Test5.sbf           └── Slave_Test5.sbf  ├── OF-SPO-Z2-D-Test 2           └── Master_Test2.sbf           └── Slave_Test2.sbf  ├── OF-SPO-Z2-D-Test 4           └── Master_Test4.sbf           └── Slave_Test4.sbf  ├── OF-SPO-Z2-D-Test 6           └── Master_Test6.sbf           └── Slave_Test6.sbf  ├── OF-SPO-Z1-D-Test 29           └── Master_Test29.sbf           └── Slave_Test29.sbf  ├── GNURadio           └── Scenario1_decimated.iq           └── PreProcessing.grc           └── Signal_to_Usrp.grc

opencc-by-4.0Nov 2019View details →

MAR-M-247 creep assessment through a modified theta projection model - Figures 2 and 5

These two programs provide a way to rebuild the MAR-M-247 creep data presented in the paper: G. Maggiani, M.J. Roy, S. Colantoni, P.J. Withers, MAR-M-247 creep assessment through a modified theta projection model, Materialia, Volume 7, 2019, 100392, ISSN 2589-1529, https://doi.org/10.1016/j.mtla.2019.100392. http://www.sciencedirect.com/science/article/pii/S2589152919301887)   In Paper_Figure_2.m two coefficients of the paper itself are corrected and a comparison with what written in the paper and the corrected value is provided. One typo error for theta 1 at 982°C and 140 MPa where 6.9 must be 1.9. The other is for 1038°C 50 MPa theta4. In the paper it is written e^-11 while it actually should have been e^-10. Paper_Figure_5.m more decimal values are provided for the coefficients a, b, c and d that are used to rebuild the theta values.

Participant survey data from the citizen science project FLOW, 2021

This dataset is linked to the following publication: von Gönner, J., Masson, T., Köhler, S., Fritsche, I., Bonn, A. (in press): Citizen science promotes knowledge, skills and collective action to monitor and protect freshwater streams. People and Nature.

Research data from the survey on Smart Cities professional profiles for the Article "Modelling and analyzing the availability of technical professional profiles for the success of Smart Cities projects in Europe"

The file includes the complete version of data collected through the surrvey on recommended profile for two professional roles in the context of Smart Cities  (SC) projects: SC engineer and SC technician. It complements the previous version focused on IoT implementation stired at <a href="../doi/10.5281/zenodo.7492254">https://zenodo.org/doi/10.5281/zenodo.7492254</a>

opencc-by-4.0Jun 2023View details →

Templates for BWS IPA and NPS project evaluations

Templates with example data to facilitate the completion of project evaluations using Excel to undertake three analyses: 1. Importance-Performance Analysis (IPA) with Gap Analysis 2. Net Promoter Score 3. Best-Worst-Scaling template in seperate file in version 1

Phanerozoic-scope supplementary material to "The Cretaceous World: Plate Tectonics, Paleogeography, and Paleoclimate" from the PALEOMAP project

Phanerozoic Supplemental Materials for the study ‘The Cretaceous World: Plate Tectonics, Paleogeography and Paleoclimate’ by C.R. Scotese C. Vérard, L. Burgener, R. P. Elling and A.T. Kocsis (<a href="https://doi.org/10.1144/sp544-2024-28">https://doi.org/10.1144/sp544-2024-28</a>). Please cite this article if you use any material here in your publication. Please see the included 'Phanerozoic Supplemental Materials Explanation.docx' document for description of supplementary items and table of contents.

WageIndicator CBA Database - BARWAGE project sample

The WageIndicator Collective Bargaining Agreements Database (CBA Database) includes the coded content of an increasing number of Collective Labour Agreements (CBAs or CLAs). These Collective Agreements have been gathered, annotated and coded by the WageIndicator team and its partners. The coding scheme has more than 700 variables. This dataset contains a subsample of the database, which was collected and analyzed in the context of the BARWAGE project. It includes 1224 coded collectie agreements from 10 European Union member states (Austria, Bulgaria, Czechia, Estonia, France, Italy, Netherlands, Portugal, Slovakia and Spain).  Information about the CBA Database can be found <a href="https://wageindicator.org/labour-laws/collective-bargaining-agreements" target="_blank" rel="noopener">here </a>https://wageindicator.org/labour-laws/collective-bargaining-agreements Information about the BARWAGE project can be found <a href="https://wageindicator.org/Wageindicatorfoundation/projects/barwage" target="_blank" rel="noopener">here</a>: https://wageindicator.org/Wageindicatorfoundation/projects/barwage

opencc-by-4.0Apr 2024View details →

Projected distribution of invasive plant species in the tropical Andes under climate change

Distribution maps of 11 invasive species now and in the future (2040-70). The projections were the result of the assembly of three algorithms: Adaptive Boosting (AdaBoost), Boosted Regression Trees (BRT), and Extreme Gradient Boosting (XGBoost). Future projections were made for three global circulation models and three climate change scenarios, each with low (SSP126), medium (SSP370), and high (SSP585) levels of carbon emission. Habitat suitability and presence/absence maps are also included. The threshold for establishing a species as present was determined to be the value that maximized the TSS.  For more information, see the article accompanying the dataset by González-Trujillo et al. Mapping the threat: Projecting invasive plant distribution in the tropical Andes under climate change List of modeled invasive plant species and their known impacts in the tropics. <table> <tbody> <tr> <td> Species </td> <td> Biogeographic origin </td> <td> Impacts </td> <td> References </td> <td> GBIF data (DOIs) </td> </tr> <tr> <td> Acacia decurrens </td> <td> Australian </td> <td> Create regular layers of litter on the ground, inhibit or redirect successional processes, inhibit the expression of seed banks, and limit resource supply, leading to displacement of native plants and animals and increasing the frequency of fires. </td> <td>  (Cárdenas López et al., 2017; Le Maitre et al., 2011) </td> <td> https://doi.org/10.15468/dl.mjyxhw </td> </tr> <tr> <td> Acacia melanoxylon </td> <td> Australian </td> <td> Alter the structure and function of their ecosystems, thereby displacing their native flora. It also causes soil erosion and alters hydrological cycles, negatively affecting agriculture. </td> <td> (Kumschick and Jansen, 2023; Le Maitre et al., 2011)   </td> <td> https://doi.org/10.15468/dl.4cugnk </td> </tr> <tr> <td> Arundo donax   </td> <td> Holarctic </td> <td> Alter the natural vegetation structure, outcompete native plant species and diminish the diversity and abundance of animals such as arthropods and birds. It also drives out soil, fuels forest fires, displaces native species, and increases the invasion of ticks that affect livestock. </td> <td> (Cárdenas López et al., 2017; Girotto et al., 2021; Lambert et al., 2010) </td> <td> https://doi.org/10.15468/dl.bfep4t </td> </tr> <tr> <td> Genista monspessulana </td> <td> Holarctic </td> <td> Alter fire regime and nutrient cycling displace native species and decrease native diversity by forming dense monospecific stands. It also facilitates the establishment of other invasive species and produces seeds that are toxic to livestock and humans. </td> <td> (Cárdenas López et al., 2017; Herrera et al., 2016; Pauchard et al., 2008) </td> <td> https://doi.org/10.15468/dl.gyhnxh </td> </tr> <tr> <td> Hedychium coronarium </td> <td> Indo-Malesian </td> <td> Alter hydrological and nutrient cycles in soil. It forms thickets that suppress the successional and regeneration processes of native species, thus affecting the native flora and crops. </td> <td> (Cárdenas López et al., 2017; Costa et al., 2019) </td> <td> https://doi.org/10.15468/dl.6z2jgb </td> </tr> <tr> <td> Melinis minutiflora </td> <td> African </td> <td> Increases the occurrence of fires, displaces native species, and alters soil properties and decomposition. It also inhibits the growth of native species. </td> <td> (Cárdenas López et al., 2017; Nogueira et al., 2019; Sandoval et al., 2022) </td> <td> https://doi.org/10.15468/dl.fsqwsv </td> </tr> <tr> <td> Pteridium aquilinum </td> <td> Holarctic </td> <td> Alter vegetation success processes affect crops and cause livestock poisoning.  It also produces acids that inhibit root growth in native and cultivated species. </td> <td>  (Berget et al., 2015; Cárdenas López et al., 2017; Valdez-Ramírez et al., 2020)   </td> <td> https://doi.org/10.15468/dl.sp4uuv </td> </tr> <tr> <td> Ricinus communis </td> <td> African </td> <td> Alter vegetation success processes affect crops and cause livestock poisoning. It also produces acids that inhibit root growth in native and cultivated species. </td> <td> (Cárdenas López et al., 2017; Sandoval et al., 2022; Silva and Fabricante, 2022) </td> <td> https://doi.org/10.15468/dl.dhbphb </td> </tr> <tr> <td> Senecio madagascariensis </td> <td> African </td> <td> Alter soil nutrient cycles, damage to agricultural crops, and outcompete native species. It also contains substances that are toxic to both animals and humans.  </td> <td> (Wijayabandara et al., 2021) </td> <td> https://doi.org/10.15468/dl.7e8eyx </td> </tr> <tr> <td> Thunbergia alata </td> <td> African </td> <td> Displace native species and reduce habitat heterogeneity, thereby affecting the structure and function of native ecosystems. </td> <td> (Cárdenas López et al., 2017; Quijano-Abril et al., 2021) </td> <td> https://doi.org/10.15468/dl.g9zybc </td> </tr> <tr> <td> Ulex europeaus </td> <td> Holarctic </td> <td> Dry soil and increase the occurrence of fires. Inhibits vegetative growth, including pastures in agricultural and livestock lands. </td> <td> (Anderson and Anderson, 2009; Cárdenas López et al., 2017) </td> <td> https://doi.org/10.15468/dl.6642q9 </td> </tr> </tbody> </table>

embargoedcc-by-4.0Jun 2024View details →

GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - third part)

<a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"]. Devices are 60-Hz triaxial accelerometers. This dataset also contains participantCharacteristics.csv that povides basic information about participants and read_a_binFile_share.R that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section). Participant characteristics: 10 to 16 years old students and some parents. Number of participants: 231 (206 adolescents + 25 adults). Year of the study: 2018 - 2019. Place of the study: New Caledonia. The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets: <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> The accelerometer raw .bin files are available in restricted datasets: <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>. When using this dataset, please cite the following reference: <a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a>

embargoedcc-by-4.0Jun 2024View details →

GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - second part)

Multichannel Seismic Reflection Data from RV Pelagia during cruise 64PE-445 (SALTAX project)

We present digital multichannel seismic reflection data from the central Red Sea. They were collected on RV Pelagia during cruise 64PE-445 as part of the SALTAX project (Augustin et al., 2019). A Delta Sparker system with 6 kJ and a dominant frequency of ~300 Hz was used as the seismic source. Seismic energy was recorded using a Microeel solid-state streamer with 24 channels and a length of 100 m. Data processing was carried out using VISTA software and comprised trace-editing, simple frequency filtering (50–2000 Hz), normal moveout correction (1500 m/s), common mid-point stacking, finite-difference post-stack migration, as well as top-muting and white noise removal. Interpretation of the seismic data was carried out using the KingdomSuite software of IHS.

SSP-aligned projected European water withdrawal/consumption at 5 arcminutes

Release 0.9.1 – What is new? ·         Industrial water withdrawals were initially overestimated due to a problem with the input data, but they are now fixed. ·         Historical water withdrawal covering 1960-2020 added. Consistency between historical and projected water withdrawals is maintained. Contents and naming conventions Annual European water withdrawal: {scenario}_{sector} _year_millionm3_5min_Europe_{from_year}_{to_year}.nc Scenarios: historical, ssp1, ssp2, ssp3, ssp5 Sector: dom, ind; stand for domestic/industrial                 From/to_year: 1960/2020, 2020/2100; historical/ssp projections. Each file holds two variables: {sector}ww and {sector}wc representing gross and net (i.e. consumptive use) water withdrawal. For exmaple, for the industrial sector, there are two variables: indww and indwc. The fraction ‘1 – indwc/indww ‘ represents the share of return flows. ------------------------- The dataset provides annual water withdrawal and consumption estimates for Europe at a spatial resolution of 5 arcminutes, covering the periods 1960-2020 (historical) and 2020-2100 for four SSPs (1, 2, 3, and 5). Below, we outline the procedure used to downscale the population projections to a 5-arcminute resolution and describe the main equations applied to project water withdrawal and consumption under different SSPs. The development of the high-resolution (5 arcminute) projected water withdrawal and consumption for Europe follows the methodology outlined by Wada et al. (2011a, 2011b). This new release incorporates new projections for population, GDP per capita, and urbanization patterns from the latest SSP database (v3.0.1; available at <a href="https://data.ece.iiasa.ac.at/ssp/" target="_new">https://data.ece.iiasa.ac.at/ssp/</a>). Since this update is still in progress as of August 25th, 2024, some necessary input data are sourced from an earlier version of the SSP data (SSP 2013, see Table 1).  All data and methods used to generate the results provided in this dataset are described in the Readme - Data and Methods file. <a name="_Ref175610392"></a>Table 1: Data availability in different versions of the SSP database as of August 25th 2024. <table> <tbody> <tr> <td> Data </td> <td> SSP DatabaseVersion </td> <td> Module </td> </tr> <tr> <td> Population </td> <td> SSP v3.0.1 2024 </td> <td> Domestic </td> </tr> <tr> <td> GDP per capita </td> <td> SSP v3.0.1 2024 </td> <td> Domestic/industrial </td> </tr> <tr> <td> Energy use per capita </td> <td> SSP 2013 </td> <td> Industrial </td> </tr> <tr> <td> Electricity use per capita </td> <td> SSP 2013 </td> <td> Industrial </td> </tr> </tbody> </table>

Survey on the social impact of the citizen science in the projects LIFE MIPP and InNat

The present dataset consists in a sociological survey addressed to the volunteers involved in MIPP and InNat projects, a citizen science initiative aimed at the collection of distribution data of protected species and habitats all over Italian national territory. In particular, two different files are provided:  <ol> <li>the original survey (questions and answers) addressed to the volunteers in Italian</li> <li>the English translation of the questionnaire </li> </ol> The survey covers different topics: socio-demographic data (section 1), opinions on the role of volunteering in a citizen science project (section 2), possible previous citizen science experience (section 3), test on the acquired skills on the monitored insect species with MIPP/InNat (section 4), opinions concerning the ecological crisis and the trust in the ability of humankind to solve environmental issues (section 5), possibility to be further contacted for additional interviews (section 6). A total of 364 completed questionnaires have been collected and relative results are provided here. Moreover, the above-mentioned results are  thoroughly investigated and analysed in a scientific paper which also explores drivers that might keep volunteers active in a biodiversity monitoring project. Indeed, the engagement of volunteers in citizen science projects is a remarkable issue to address in order to ensure long-term sustainability, scientific relevance and public participation. The MIPP/InNat initiative started in 2012, with the project MIPP “Monitoring of insects with public participation” (LIFE11 NAT/IT/000252) which ended in 2017, and was then continued by the InNat project thanks to Italian National fundings. Data gathered in both projects converged in the same database. This research was supported by the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of Italian Ministry of University and Research funded by the European Union – 1034 of 17 June 2022 adopted by the Italian Ministry of University and Research, CUP B83D21014060006, Project title “National Biodiversity Future Center” – NBFC.

Araneae isotope analysis in pitfall traps in sub project 7 in KiLi project

Isotope analysis was conducted by Friederike Gerschlauer, together with Gustavo Seiz and Ralf Kiese. The Spiders were sorted, measured and prepared for analysis by Michael Haas for his master thesis. The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Araneae morphospecies in pitfall traps in sub project 7 in KiLi project

Morphospecies of reasonable quality, but not checked by a taxonomist. identification at family level should hold. We sampled arthropod assemblages in disturbed and undisturbed vegetation types along an elevational gradient of 860–4550 m asl on the southern slopes of Mt. Kilimanjaro, Tanzania. On each site, ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100–200 ml of a mixture of ethylene glycol and water (1:1 vol/vol) with a drop of liquid soap to break surface tension. Traps were exposed for 7 days each during two to five sampling events in both the dry and wet seasons between May 2011 and October 2012. As the number of individuals collected in ten traps was very high, we had to confine the sorting and subsequent analysis to sub-sets of at least three traps per sampling site and sampling event. Unfortunately, we had to find out later that the ethylen glycol procured locally was actually a mixture of ethylen glycol and 2-ethoxyethanol, which is a strong oxidizing chemical. Therefore, any sequencing of specimen caught in pitfall traps was impossible. Haas, Michael. 2014. Master thesis. The influence of elevation on community composition and trophic position of spiders. University of Marburg The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Coleoptera morphospecies abundance in pitfall traps in sub project 7 in KiLi project

Carabidae identified to species, and other Coleoptera identified to morphospecies by Peter Schüle, Tenebrionidae identified by Dr. Wolfgang Schawaller. Assemblages of ground-dwelling beetles were sampled with pitfall traps8. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species. <div> The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed. </div>

Pitfall traps Collembola morphospecies abundance in sub project 7 in KiLi project

Abundances of Collembola, resolution morphospecies. See "<a href="../doi/10.5281/zenodo.13829067">Collembola morphospecies in sub project 7 in KiLi project</a>" for actual species names. Assemblages of springtails were sampled with pitfall traps. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species. The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Araneae families abundance in pitfall traps in sub project 7 in KiLi project

Abundances of spiders, resolution at least family level, FER2 was not sampled. We sampled arthropod assemblages in disturbed and undisturbed vegetation types along an elevational gradient of 860–4550 m asl on the southern slopes of Mt. Kilimanjaro, Tanzania. On each site, ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100–200 ml of a mixture of ethylene glycol and water (1:1 vol/vol) with a drop of liquid soap to break surface tension. Traps were exposed for 7 days each during two to five sampling events in both the dry and wet seasons between May 2011 and October 2012. As the number of individuals collected in ten traps was very high, we had to confine the sorting and subsequent analysis to sub-sets of at least three traps per sampling site and sampling event. Unfortunately, we had to find out later that the ethylen glycol procured locally was actually a mixture of ethylen glycol and 2-ethoxyethanol, which is a strong oxidizing chemical. Therefore, any sequencing of specimen caught in pitfall traps was impossible. Haas, Michael. 2014. Master thesis. The influence of elevation on community composition and trophic position of spiders. University of Marburg The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Coleoptera Carabidae body size in pitfall traps in sub project 7 in KiLi project

There are still some unsolved qustions regarding plot level information, but means per Carabid species are available. Abacetus spec., Afrotarus kilimanus, Neosipelus sp. 1 and sp 2., Tyronia lateralis and Tyronia spec. nov. - measurements are available, but without information for the plot. Assemblages of ground-dwelling beetles were sampled with pitfall traps8. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species. The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.