Find research datasets worth reusing

opencc-by-4.0Mar 2024View details →

[Raw data collection] - Granular skeleton optimisation and influence of the cement paste content in bio-based oyster shell mortar with 100% aggregate replacement

<h1>Raw data collection</h1> <h2>Associated paper information</h2> - Year: 2024  - Journal: Sustainability - DOI/link: https://doi.org/10.3390/su16062297  - Title: Granular skeleton optimisation and influence of the cement paste content in bio-based oyster shell mortar with 100% aggregate replacement   - Authors: Ana Cláudia Pinto Dabés Guimarães (1,2), Olivier Nouailletas (3), Céline Perlot (2,3,4) and David Grégoire (1,3,4,*)   - Affiliation:           (1) Universite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, LFCR, Anglet, France,           (2) Universite de Pau et des Pays de l’Adour, E2S UPPA, SIAME, Anglet, France,           (3) Universite de Pau et des Pays de l’Adour, E2S UPPA, ISA BTP, Anglet, France,           (4) Institut Universitaire de France, Paris, France,             * Correspondence: david.gregoire@univ-pau.fr

opencc-by-4.0Mar 2024View details →

Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers

<div>Supplemental material for the paper "Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers" published in DLSP 2024.</div> <div> <div> </div> </div>

opencc-by-4.0Mar 2024View details →

Dutch landscapes have lost insect-pollinated plants over the past 87 years

Data associated with the publication "Dutch landscapes have lost insect-pollinated plants over the past 87 years". Abstract: 1. The interruption of plant-pollinator interactions may threaten global plant diversity, food security, and ecosystem stability. Recent reports of strong declines in both insects and plants point to insect decline as a driver of plant decline. However, it is still unknown whether these trends are related as plants often produce seeds without the need for insect pollinators, and to what extent insect-pollinated plants have declined in relation to plants not pollinated by insects. 2. In this study, we hypothesise that natural plant communities have shifted away from insect-pollination. We combined 365,768 vegetation plots from 1930 to 2017 in the Netherlands and plant traits to assess the changes in occurrences of plants pollinated by different modes. Furthermore, we included key drivers in plant decline—specifically nitrogen, moisture, and habitat types—as interaction factors to explore the persistence of the observed changes under different environmental conditions. 3. The proportion of insect-pollinated plants has declined while that of wind-pollinated plants has increased over the last 87 years. This proportional change reflects an absolute decrease in the number of insect-pollinated species and an increase in the number of wind-pollinated species. 4. Synthesis and applications. This study implies that Dutch landscapes are losing insect-pollinated plant species, which is likely due, at least in part, to the decline in pollination services. Our results of quantifying the decline in insect-pollinated plants support the necessity and urgency of taking conservation initiatives. Several management strategies and policy recommendations could be applied to alleviate the decline of insect-pollinated plants and ensure crop safety. For example, conserving natural environments by reducing nitrogen deposition may support local plants and insect pollinators. Additionally, there is a particular need for focused efforts to protect natural grasslands, as these areas harbor many insect-pollinated plants, which have experienced declines. Finally, monitoring and assessing the state of both pollinators and (insect-pollinated) plants is needed to assess the progress of conservation measures. While recognizing the interdependence of pollinators and pollinated plants, it is crucial to extend efforts beyond pollinator conservation alone to effectively safeguard insect-pollinated plants and ensure crop safety.

Data and code for : 'Interactive effects of temperature, aridity, and plant stoichiometry on insect herbivory: past and present', The American Naturalist

The files are for the manuscript 'Interactive effects of temperature, aridity, and plant stoichiometry on insect herbivory: past and present' consist of the following major parts:   1.     FILE “all site summary.xlsx”: Summary data of all the fossil sites used in the study. This is an MS Excel file and has three sheets, namely: a.     All_sites: This sheet lists various metadata related to each of the 39 fossil sites used in this study. The name of the site is listed as ‘Flora’, and each site has the following data associated with it: Epoch, Latitude Bin, Region, Geographic location, Lat(itude), Long(itude), Depositional.Environment, Age, Age.error, MAT.C (Mean Annual Temperature in degrees C), MAT.Error, MAP.mm.yr (Mean Annual Precipitation in mm), MAP.error, and No.Leaves (number of leaf specimens). b.     PEB sites list (Bighorn): This sheet specifically lists the 8 Paleocene-Eocene boundary (PEB) sites from the Bighorn basin along with relevant metadata. These sites are also present in the All_sites tab. c.     PEB sites list (Hanna): This sheet lists the 2 Hanna Basin sites from the PEB with relevant metadata. 2.     FOLDER “fossil site herbivory data”: This folder contains the leaf-level herbivory data from all the fossil sites used in this study (including the PEB sites from Hanna Basin) in .csv format. Each file has the following data structure: the first column lists the morphotaxa name of the leaf and the subsequent columns represent whether a particular DT (Damage Type, represented by individual column names) is present (1) or absent (0/NA) in that leaf. 3.     FOLDER “modern site herbivory data”: This folder contains the leaf-level level herbivory data from all the modern sites used in this study in .txt format. “presab_data_HFmatrix” is the data from the three sites in Harvard Forest, “presab_data_LSmatrix” from three sites in La Selva and “presab_data_SERCmatrix” from the three sites in the Smithsonian Environmental Research Center. The quarry number is the name of the site in each file. The rest of the structure is same as fossil data: the second column lists the taxa name for the leaf and the subsequent columns represent whether a particular DT (Damage Type, represented by individual column names) is present (1) or absent (0/NA) in that leaf. 4.     FOLDER “masks for FFGs”: This folder has two files, namely: a.     “ffgdef_DT.csv”: This file lists which Functional Feeding Group does each DT belong to. Oviposition =0, Skeletonization=1, Surface feeding =2, Galling=3, Hole Feeding=4, Mining =5, Margin Feeding =6,  Piercing and Sucking=7. b.    “mask_DT.csv”: This file lists whether a given DT is a herbivory damage, a specialized damage, gall or mining damage (T/F). 5.     FOLDER “N2_fixing_site_level_taxa”: This folder contains 8 files in .csv format corresponding to each of the 8 PEB Bighorn Basin sites. Each file has the same structure: the first column corresponds to a specific morphotaxa and the next column indicates whether it is a N2 fixing plant (1) or not (0). 6. FILE "Analyais_base.Rmd" gives base code to replicate all the results.

Evolutionary Overview of Surface Wave Method Based on Bibliometric Analysis: Past, Current and Future

The surface wave method has been a cornerstone in seismic imaging and monitoring across diverse scenarios for the past 70 years. We offers an objective snapshot of the current landscape in surface wave method research through a comprehensive bibliometric analysis. Utilizing both bibliographic and structured network analysis techniques, including Biblioshiny and VOSviewer applications, we meticulously examine the literature spanning from 1952 to 2024, sourced from the Web of Science Core Collection database. This work has been submitted to "SCIENCE CHINA earth science" for peer review ( Guan et al., 2024 ). The package includes the datasets utilized for bibliometric analysis in the submitted manuscript. It includes a text file named "Refined_TabDelimited_Data.txt" for VOSviewer software and a spreadsheet "Refined_Bibliometrix_Data.xlsx" for Biblioshiny application.

DArTseq genetic dataset associated with the article "Hybrids as mirrors of the past: genomic footprints reveal spatio-temporal dynamics and extinction risk of alpine extremophytes in the mountains of Central Asia"

Description: This file stores genetic information on the single nucleotide polymorphism markers (SNPs) in the examined alkali grasses (Poaceae: Puccinellia). The dataset was generetad by Genome-Wide Restriction Fragment Analysis via the DArTseq platform (Diversity Arrays Technology Pty Ltd, Canberra, Australia), which combines complexity reduction methods, fragment size selection, and high-throughput sequencing, optimised for a target organism. The file contains raw data.   Usage notes: We used R (version 4.2.2, 2022-10-31; https://www.R-project.org/) and RStudio (version 2022.07.2+576 "Spotted Wakerobin" Release (e7373ef832b49b2a9b88162cfe7eac5f22c40b34, 2022-09-06; http://www.rstudio.com/) on Windows 8.1 to handle this file. We used the dartR R-package (version 2.7.2) with necessary dependencies to import, proccess and analyse this data file as an object of a class genlight (dartR) in the R environment. You may also handle the file as an object of a class genlight using the adegenet and ade4 R-packages. To learn more about installation procedure and how to use of the R-packages visit: https://cran.r-project.org/web/packages/available_packages_by_name.html.

opencc-by-4.0Dec 2017View details →

Figure 1 in Notes on specimens of the Glossy Mangrove Snake (Gerarda prevostiana) in the collection of the Zoological Survey of India, Kolkata along with past records from India

Figure 1. Gerarda prevostiana.

Present and past presence of Santolina ligustica

The data frame reports the presence of Santolina ligustica. Distribution is reported as presence in a grid at 0.0003825773 x 0.000266708 degrees centigrade of resolution (extent: 9.480258, 9.637115, 44.15192, 44.26713; crs: +proj=longlat +datum=WGS84 +no_defs). The column "x" and "y" reported the centroids of the cells where specie occur. The column "Distribution_1999" shows the presence of the species as reported in Torricelli et al. 1999. In the file "Distribution_2021.tif" is reported the presence of the species detected by the authors during field surveys carried out in 2020 and 2021.

opencc-by-4.0Feb 2024View details →

CpAug: Refining Copy-Paste Augmentation for Speech Anti-Spoofing

Conventional copy-paste augmentations generate new training instances by concatenating existing utterances to increase the amount of data for neural network training. However, the direct application of copy-paste augmentation for anti-spoofing is problematic. This paper refines the copy-paste augmentation for speech anti-spoofing, dubbed CpAug, to generate more training data with rich intra-class diversity. The CpAug employs two policies: concatenation to merge utterances with identical labels, and substitution to replace segments in an anchor utterance. Besides, considering the impacts of speakers and spoofing attack types, we craft four blending strategies for the CpAug. Furthermore, we explore how CpAug complements the Rawboost augmentation method. Experimental results reveal that the proposed CpAug significantly improves the performance of speech anti-spoofing. Particularly, CpAug with substitution policy leads to relative improvements of 43% and 38% on the ASVspoof’ 19LA and 21LA, respectively. Notably, the CpAug and Rawboost synergize effectively, achieving an EER of 2.91% on ASVspoof’ 21LA.

Data from the article "Past large earthquakes influence future strong ground motion in subduction zones".

Rupture and Ground motion data (version 2) in the central zone of Chile using kinematic seismic simulation data published in https://doi.org/10.1007/s11069-024-06651-9. The rupture process is derived from coupling and geometry data incorporated into the Heterogeneous Energy-Based method (https://doi.org/10.1515/geo-2022-0522). A video summarizing the data and results can be found in: <a href="https://youtu.be/VDIgko7ieEY?si=U_hoXBcO3OlM6XY8">https://youtu.be/VDIgko7ieEY?si=U_hoXBcO3OlM6XY8</a>  Please note that this is a revised version where the data code has been slightly modified compared to its previous version.

opencc-by-4.0Dec 2023View details →

Massaciuccoli Lake basin in Tuscany, Italy. Datasets of 75 environmental, geomorphologic, and socio-economic variables associated from remote past to remote future

Collection of 148 datasets representing 75 environmental, geomorphologic, and socio-economic variables associated with the Massaciuccoli Lake basin in Tuscany, Italy.  The data cover five temporal snapshots: remote past (1950-1980), recent past (1981-2015), present (2016.2024), near future (2050 under RCP4.5 and 8.5), and remote future (2100 under RCP4.5 and 8.5) Raster data have been harmonised and resampled at 0.0005° (~50 m) resolution. Vector data have been aligned and cut over the basin boundaries. A QGIS project using the WGS84 EPSG:4326 projection is included in the ZIP file.  A metadata file (in MS Excel format) reports data content descriptions, the primary sources, their FAIRness levels, and the direct links to the primary sources when available.  The dataset numbers are aligned to the table Id-column entries.

opencc-by-4.0May 2024View details →

Supplementary files for 'Adding 'flavour' to past cuisines: first steps towards a phytolith reference collection of modern Mediterranean herbs'

ESM1. Supplementary tables: <ul> <li> Table S1. List of samples analysed in this study. Phytolith concentration per gram of original plant tissue. BBG: Barcelona Botanical Garden. BGPC: Botanical Park & Gardens of Crete. PPFF: Park for the Preservation of Fauna and Flora of the Technical University of Crete. Aerial parts: mix of leaves and flowers/inflorescences. </li> <li> Table S2. Protocol for extracting phytoliths from modern plants. </li> <li> Table S3. Weight (in grams) of the original dry plant tissue and the ash left after processing the samples, number of phytoliths observed in each sample and phytolith concentration per gram of original dry plant tissue. </li> <li> Table S4. Code used for describing phytolith morphotypes and sub-morphotypes according to the ICPN 2.0 (ICPT 2019). </li> <li>Table S5. Results of the microscopic analysis of phytolith samples from modern Mediterranean herbs.</li> </ul> ESM2. Reference atlas of phytoliths observed in modern Mediterranean herbs.

opencc-by-4.0Oct 2021View details →

Revisiting the Building of Past Snapshots – A Replication and Reproduction Study

This dataset contains all the data that could not be included in the original repository: https://github.com/BuildabilityResearcher/BuildabilityStudy

dryad36/100

Rapid morphological change in a small mammal species after habitat fragmentation over the past half-century

Study Aim: To compare the rapid shifts in body size of mainland and island populations of a native rodent and examine the mechanisms underlying these changes. Location: Thousand Island Lake, China, which was created in 1959 when the Xin'anjiang Dam was constructed for generating hydroelectricity. Taxon: The Chinese white-bellied rat, Niviventer confucianus. Methods: Field surveys were conducted from 2015 to 2018 to collect data on body size of the rodents from a set of islands and nearby mainland sites. We constructed multiple linear models to examine the relationships between body size (length and mass) of rodents and biological variables (predators, interspecific and intraspecific competitors, and food availability). We also conducted structural equation modeling (SEM) by constructing models via confirmatory path analysis. Results: All island populations of N. confucianus had significantly larger body size (both body mass and body length) than their mainland counterparts. Moreover, populations on small and more isolated islands had larger body size than their relatives on big islands. The relative absence of predators (large-bodied mammals, snakes, and raptors) on islands was most strongly associated with shifts in the body size of rodents. The documented changes occurred after only a half-century of fragmentation. Main conclusions: The observed rapid body enlargement of rodents after habitat fragmentation is consistent with a release from predation pressure. SEM indicated that island area, rather than island isolation, had positive effects on the richness of predators, interspecific competitors and food resources, which then had an indirect impact on body size of the rodents. In this study, we report a remarkably rapid case of mammal morphological shifts in a small mammal in response to habitat fragmentation. Given the omnipresence of dams and other anthropogenic disturbances, our findings suggest that a wave of rapid phenotypic shifts in terrestrial vertebrates is taking place in the Anthropocene.

opencc-zeroSep 2021View details →

opencc-by-4.0Apr 2021View details →

Teaser | The past, present and future, of African language dictionaries - from Eurocentric to Afrocentric compilations

Professor D.J. Prinsloo (University of Pretoria, South Africa) gives us a glimpse of the course he will lecture in Lisbon Summer School in Linguistics 2021: "The past, present and future, of dictionaries for African Languages - from Eurocentric to Afrocentric compilations". Further information: https://clunl.fcsh.unl.pt/en/lisbon-summer-school-in-linguistics-2021/

Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Kortrijk Kennedy Park, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Kortrijk Kennedy Park (50°48'2"N 3°16'13" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016).  The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).

Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Antwerp Berchem, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Antwerp Berchem (51°12'00"N 4°26'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016).  The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).

Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Leuven Casa Blanca, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of the Casa Blanca Neighbourhood Leuven (50°52'48"N 4°43'48"E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016).  The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).

Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Uccle KMI, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Uccle KMI (50°47'49"N 4°21'29" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016).  The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).

Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Leuven City centre, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of city centre of Leuven (50°52'48"N, 4°42'0"E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016).  The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).