Find research datasets worth reusing

opencc-by-4.0Jun 2020View details →

Figure 1 in Ecological impact and population status of non-native bees in a Brazilian urban environment

Figure 1 Bipartite network and non-native bees sampled in Curitiba. a) Bipartite network, non-native plant and bees colored, b) Anthidium manicatum, female; c) Distributional range of A. manicatum (SpeciesLink); d) Melipona scutellaris worker on Calliandra brevipes; e) Distributional range of M. scutellaris (SpeciesLink), natural records in green.

openmit-licenseAug 2024View details →

Estimating future climate change impacts on human mortality and crop yields via air pollution: supplemental files

Atmospheric chemistry model output and other gridded data sets necessary to estimate human mortality and crop yield losses associated with future climate change, as used in Murray et al. [PNAS, 2024] doi:10.1073/pnas.2400117121.

Dataset on THE INFLUENCE OF INNOVATION, KNOWLEDGE MANAGEMENT, AND E-COMMERCE ADOPTION ON MSME PERFORMANCE, AND ITS IMPACT ON MSMEs SUSTAINABILITY

Dataset on THE INFLUENCE OF INNOVATION, KNOWLEDGE MANAGEMENT, AND E-COMMERCE ADOPTION ON MSME PERFORMANCE, AND ITS IMPACT ON MSMEs SUSTAINABILITY

Large Language Model-Based Classification of Flash Flood Impacts Across the United States

This repository contains the data sets used for the publication of the journal article titled Large Language Model-Based Classification of Flash Flood Impacts Across the United States. This is the first release of the data with a Zenodo DOI attached to the README.md file.  Further information about the data can be found in the GitHub repository's README.md file.

opencc-by-4.0Mar 2021View details →

Dataset: Seeking feedback and taking action: An evidence based evaluation of the impact of using practice tests with inbuilt feedback in a first-year business class

This data set includes both qualitative and quantitative data. Qualitative, survey data sought student opinions on the purpose of feedback and the actions taken following receipt of feedback. 1. Survey data collection began with a 13 question survey used in classes in early February 2020. This initial feedback survey was conducted via MS Forms. The data from this is available in the following files: a. 2020-2-17_feedbacksurvey_1_rawdata.csv b. 2020-2-17_feedbacksurvey_1_how-many-times-got-feedback.csv c. 2020-2-17_feedbacksurvey_1_take-action-after-feedback.csv d. 2020-2-17_feedbacksurvey_1_type-feedback-you-prefer.csv e. 2020-2-17_feedbacksurvey_1_purpose-of-feedback.csv f. 2020-2-17_feedbacksurvey_1_define-feedback.csv g. 2020-2-17_feedbacksurvey_1_what-makes-feedback-useful.csv h. 2020-2-17_feedbacksurvey_1_know-how-feedback-effective.csv i. 2020-2-17_feedbacksurvey_1_what-can-institute-do-to-improve-feedback.csv 2. The first practice test was followed by a short survey of approximately 3 questions (created using MS Forms, a mix of closed and open questions). The data from this is available in the following files: a. 2020-3-2_feedbacksurvey_2_rawdata.csv b. 2020-3-2_action-comments-coded.csv c. 2020-3-2_other-comments-coded.csv d. 2020-3-2_open-question-comments.csv 3. The second practice test followed by a 3 question short survey (created using MS Forms, all open questions) The data from this is available in the following files: a. 2020-5-12_feedbacksurvey_3_rawdata.csv b. 2020-5-12_feedbacksurvey_3_what-learn-by-participating.csv c. 2020-5-12_feedbacksurvey_3_what-action-taking.csv d. 2020-5-12_feedbacksurvey_3_has-module-changed-view-of-feedback.csv Quantitative data was gathered from Learning Management System, Canvas. This data shows the relationship between number of practice tests taken by students and their resultant grades. 4. I gathered the number of times students had taken the practice test before the midterm summative exam and compared with the student grades from the 30% midterm summative exam. The data from this is available in the following files: a. 2020-11-26_Canvasdata_midterm.csv 5. Following the completion of the second summative exam (worth 70%), Canvas data showing the number of times the students had taken the second practice test and the grade outcomes for the students for the summative 70% test was gathered. The data from this is available in the following files: a. 2020-11-26_Canvasdata_endterm.csv 6. A regression model was created to examine the impact of number of times that the practice test was taken on final grades, whilst controlling for midterm grades. The data from this is available in the following files: a. 2024-2-12_Anonymised_mid_and_final_grades_with_number_of_practices_before_final_exam.csv

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 4: Series I20

Part 4: Series I20 Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 3: Series I10

Part 3: Series I10 Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 2: Series S

Part 2: Series S Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 1: General information

Part 1: General information Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

Impact of Grid Resolution on Wave-mean Flow Interactions with High Resolution Mars Global Climate Model Simulations

This dataset contains NetCDF files necessary to replicate results from the 2024 paper "Impact of Grid Resolution on Wave-mean Flow Interactions with High Resolution Mars Global Climate Model Simulations" The dataset contains NetCDF files with 1 year of zonally-averaged NASA Ames Mars Global Climate Model (MGCM) fields with 5-sol binning for each of the simulations presented in the paper:  <ul> <li>a "low-resolution" simulation with no parameterization for gravity waves</li> <li>a "high-resolution" simulation with no parameterization for gravity waves</li> <li>a "low-resolution" simulation with parameterizations for orographic and non-orographic gravity waves</li> </ul> Also included are: <ul> <li>a file describing the coordinates for the MGCM's vertical grids used in the study </li> <li> atmospheric fields not provided in the other NetCDF files and necessary to replicate figures 3 and supplemental figure FS2 from the paper.</li> <li>a README.txt detailing the content of each file in the dataset</li> </ul>

openmit-licenseJun 2023View details →

Supporting data and code for: Demographic and genetic impacts of powdery mildew in a young oak cohort

This is a new release following the submission of the related PCI recommended manuscript to the Annals of Forest Science journal. It contains the necessary scripts to produce most of the analyses and figures of the manuscript. Apart from minor modifications following the recommendation in 'PCI Forest and Wood Sciences', the main change is the addition of an extra dataset "Data_S2.txt" to the additional datasets. This dataset was previously included as a table in the 'supplementary material' file.

opencc-by-4.0Apr 2013View details →

Figure 1 in Metazoan ectoparasites of two teleost fish, Boops boops (L.) and Mullus barbatus barbatus L. from Algerian coast: diversity, parasitological index and impact of parasitism

Figure 1. - Number of examined specimens per size classes for Boops boops and Mullus barbatus barbatus from Béjaïa, Algeria.

opencc-by-4.0Apr 2013View details →

Figure 2 in Metazoan ectoparasites of two teleost fish, Boops boops (L.) and Mullus barbatus barbatus L. from Algerian coast: diversity, parasitological index and impact of parasitism

Figure 2. - Variation of the parasitologic indexes according to the month and the size classes of B. boops (A, B) and M. barbatus barbatus (C, D). P (%): prevalence; Im: mean intensity; A: mean abundance.

opencc-by-4.0Jul 2024View details →

Impact attribution of European floods, 1950-2020

This collection contains impact attribution of 1729 riverine, flash, coastal and compound floods that affected Europe between 1950 and 2020. Each event was reconstructed with a modelling chain combining hazard, exposure, and vulnerability. A total of six drivers are included in two versions: factual (historical) being the best estimate of the drivers per each event, and counterfactual, being an estimate of the driver under static, 1950 conditions. All combinations of possible factual and counterfactual drivers results in 64 scenarios. A list of all scenarios is contained in 'Attribution_scenarios_list.csv', where the columns are as follows: <ul> <li>Scenario - scenario number used in attribution results </li> <li>Climate_change - effect of changes in river discharges, storm surge heights, wave run-up, and long-term sea level rise</li> <li>Catchment_alteration - effect of changes in land use, reservoir capacity and water demand on the hydrological cycle</li> <li>Exposure_growth - effect of change in population stock and gross domestic product (GDP) at subnational region level (NUTS3)</li> <li>Exposure_local - effect of local-scale exposure changes: land use structure, GDP composition by sector, asset-to-GDP ratio, building of new infrastructure</li> <li>Flood_protection - effect of change in probability that a hydrological flood will cause significant socioeconomic impacts, primarily through the breach of structural defenses</li> <li>Vulnerability - effect of changing relative loss due to local factors, e.g. private precaution, building material, early warning, emergency measures, etc.</li> </ul> 'Event_data.zip' contains six files per each flood event identified by their HANZE ID number (https://zenodo.org/records/12635205): <ul> <li>'Attribution_mean_ID.csv' - mean estimate of impact per scenario (fatalities, persons affected, economic loss in 2020 euros)</li> <li>'Attribution_params_ID.csv' - additional impact data per scenario: chance of flood protection failure (fraction), change of fatalities (fraction), relative fatalities (%), relative population affected (%), relative economic loss (%), number of impacted NUTS3 regions, potential absolute flood exposure (fatalities, population affected, economic loss)</li> <li>'Attribution_eco_ID.csv' - mean estimate of economic loss in 2020 euros per scenario per NUTS3 region</li> <li>'Attribution_fat_ID.csv' - mean estimate of fatalities in 2020 euros per scenario per NUTS3 region</li> <li>'Attribution_pop_ID.csv' - mean estimate of population affected in 2020 euros per scenario per NUTS3 region</li> <li>'Attribution_unc_ID.npy' - impact per scenario (fatalities, persons affected, economic loss in 2020 euros), 1000 samples of the uncertainty distribution of impact.</li> </ul> 'Aggregated_data.zip' contains six files of aggregated impacts (fatalities, persons affected, economic loss in 2020 euros) per scenario: <ul> <li>'Attribution_aggregate_event_IMPACT.csv' - all events aggregated in one file per impact type, displaying: <ul> <li>HANZE_ID - unique ID of the event in HANZE database</li> <li>Year - year when the event started</li> <li>Code - country two-letter code</li> <li>Type - type of flood</li> <li>scen_X - scenario number X</li> </ul> </li> <li>'Attribution_aggregate_region_IMPACT.csv' - estimated NUTS3-level impacts of all events that affected a given region between 1950 and 2020 (see NUTS3 region map in https://zenodo.org/records/12635205).</li> </ul> Graphs of attribution per event, and maps of aggregated attribution can be viewed online: <a href="https://naturalhazards.eu">https://naturalhazards.eu</a> Results can be reproduced using code (HANZE model v2.4) and input data also available from Zenodo.

Fig. 5 in Two parasitoids of Diaphorina citri (Hemiptera: Liviidae) have shared, stage-specific preference for host nymphs that does not impact pest mortality rates

Fig. 5. Mean (± SE) development time of parasitoid eggs to adult emergence of (A) Diaphorencyrtus aligarhensis and (B) Tamarixia radiata that developed on different Diaphorina citri instars in no-choice experiments. Treatment means with the same letters are not significantly different (P> 0.05).

Fig. 3 in Two parasitoids of Diaphorina citri (Hemiptera: Liviidae) have shared, stage-specific preference for host nymphs that does not impact pest mortality rates

Fig. 3. Mean (± SE) emergence of adult Diaphorencyrtus aligarhensis from second through fifh instar Diaphorina citri nymphs in no-choice experiments when females foraged alone or with hetero- and conspecific competitors. Foraging scenario only affected parasitoid emergence when D. aligarhensis foraged for fourth instar D. citri nymphs (means with the same letters are not significantly different; P> 0.05).

Fig. 2 in Two parasitoids of Diaphorina citri (Hemiptera: Liviidae) have shared, stage-specific preference for host nymphs that does not impact pest mortality rates

Fig. 2. The effect of foraging scenario on mean (± SE) Diaphorina citri mortality when (A) second, (B) third, (C) fourth, and (D) fifh instar Diaphorina citri nymphs were exposed to female parasitoids in no-choice experiments. In each panel, means with the same letters are not significantly different (P> 0.05).

Fig. 1 in Two parasitoids of Diaphorina citri (Hemiptera: Liviidae) have shared, stage-specific preference for host nymphs that does not impact pest mortality rates

Fig. 1. Mean (± SE) proportion of oviposition events (αi), indicating preference of female parasitoids for second through fifh instar Diaphorina citri nymphs in choice arenas. For each parasitoid species, means with the same letters are not significantly different (P> 0.05).

Fig. 4 in Two parasitoids of Diaphorina citri (Hemiptera: Liviidae) have shared, stage-specific preference for host nymphs that does not impact pest mortality rates

Fig. 4. Mean (± SE) adult Tamarixia radiata emergence from second through fifh instar Diaphorina citri nymphs in no-choice experiments. Means with the same letters are not significantly different (P> 0.05). *Only 1 F1 Tamarixia radiata emerged from second instar D. citri nymphs (mean [± SE] = 0.028 ± 0.028 F1 adults).

Fig. 6 in Two parasitoids of Diaphorina citri (Hemiptera: Liviidae) have shared, stage-specific preference for host nymphs that does not impact pest mortality rates

Fig. 6. The survival probability of adult (A) Diaphorencyrtus aligarhensis and (B) Tamarixia radiata that emerged from second, third, fourth, and fifh instar Diaphorina citri nymphs in no-choice experiments.