Find research datasets worth reusing

opencc-by-4.0Aug 2022View details →

Data used in: 'Atmospheric impacts of chlorinated very short-lived substances over the recent past – Part 1: Stratospheric chlorine budget and the role of transport' by Bednarz et al. (2022)

Data used in: 'Atmospheric impacts of chlorinated very short-lived substances over the recent past – Part 1: Stratospheric chlorine budget and the role of transport' by Bednarz et al. (2022), which has been accepted for publication in Atmospheric Chemistry and Physics.

opencc-by-4.0Jul 2019View details →

Data set for "Quantification of amorphous siliceous fly ash in hydrating blended cement pastes by X-ray powder diffraction"

The main data is XRD patterns originally collected as xrdml and converted into rd format. The data set for the manuscript: Quantification of amorphous siliceous fly ash in hydrating blended cement pastes by X-ray powder diffraction Xuerun Lia, Ruben Snellingsb and Karen L. Scrivenera aLaboratory of Construction Materials, Swiss Federal Institute of Technology in Lausanne (EPFL), Station 12, CH-1015 Lausanne, Switzerland bSustainable Materials Management, Flemish Institute of Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium

opencc-by-4.0Oct 2024View details →

Data from: Seagrasses in coastal wetlands of the Algarve region (southern Portugal): past and present distribution and extent

These datasets support the scientific article "Seagrasses in coastal wetlands of the Algarve region (southern Portugal): past and present distribution and area extent" published in 2025 (Journal of Sea Research, 205, 102580; <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.seares.2025.102580" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.seares.2025.102580</a>). It contains detailed data on the distribution and area extent of intertidal and subtidal seagrass meadows in the four main wetlands of the Algarve region (Southern Portugal): Ria de Alvor, Arade Estuary, Ria Formosa, Guadiana Estuary. The data is composed by 5 datasets with the following variables: 1) data_field_points.csv Contains data points based on field surveys. <ul> <li>dataset_id [character] - Unique identifier for the data set.</li> <li>data_id [character] - Unique identifier for the data point.</li> <li>wetland [character] - Wetland full name, in Portuguese: Ria de Alvor, Estuário do Arade, Ria Formosa, Estuário do Guadiana.</li> <li>wetland_slug [character] - Short name of the wetland for coding purposes: alvor, arade, riaformosa, guadiana.</li> <li>quadrat_id [character] - Name of the quadrat as recorded in the field.</li> <li>photo_id [character] - Name of the pictured associated to the observation.</li> <li>sampling_id - Name of the observation as recorded in the field.</li> <li>date [date] - Date of observation (YYYY-MM-DD).</li> <li>year [integer] - Year of sample collection (YYYY).</li> <li>month [integer] - Month of sample collection (MM).</li> <li>latitude [numeric] - The geographic latitude (in decimal degrees, WGS84) of data point.</li> <li>longitude [numeric] - The geographic longitude (in decimal degrees, WGS84) of data point.</li> <li>habitat_class [factor] - Type of habitat: unvegetated, seagrass intertidal, seagrass subtidal, seagrass unknown, salt marsh low, caulerpa.</li> <li>species [factor] - Vegetation species: No vegetation, Zostera noltei, Zostera marina, Cymodocea nodosa, unspecified species, Caulerpa prolifera, Sporobolus maritimus.</li> <li>notes [character] - Any relevant notes on the data compilation.</li> <li>method [factor] - Method used for the observation: boat and camera, boat and snorkelling, kayak and camera, on foot.</li> <li>survey_area [character] - Number of the survey area.</li> <li>site [character] - Name of the site.</li> <li>observers [character] - Name of the researcher(s) who collected the data.</li> </ul>   2) data_compilation_records.csv Contains information on the records (i.e. sources) screened during the systematic review for the compilation od seagrass occurrence data. <ul> <li>record_id [character] - unique id for the compiled records.</li> <li>short_citation [character] - short citation of the record, with author and publication year.</li> <li>included [boolean] - whereas the record was used to extract data or informacion.</li> <li>record_type [factor] - type of record: journal article, book or book chapter, PhD or MSc thesis, report, others.</li> <li>publication_year [integer] - year of the publication of the record, YYYY.</li> <li>title_record [character] - title of the record.</li> <li>link [character] - link to access the record, if available (DOI, handle, others URLs).</li> <li>full_citation [character] - full citation of the record, with authors, publication year, title, etc.</li> </ul>   3) data_compilation_points_raw.csv Contains data points of seagrass occurrence based on the systematic review. This is the original raw file with all the compiled points. <ul> <li>data_id [character] - Unique identifier for the data point (same as used in data_compilation_clean.csv).</li> <li>included [boolean] - whether the data point was kept in the clean dataset or not: 1, the point has been validated and it is included in the final dataset; 0, the point is excluded due to unprecise location (on land, open ocean, etc.).</li> <li>reason_exclusion [character] - Reason to exclude the data point from the clean dataset.</li> <li>record_id [character] - unique id for the compiled record from where data was extracted (same as in data_compilation_records.csv).</li> <li>short_citation [character] - Short reference (author(s) and year) (same as in data_compilation_records.csv).</li> <li>wetland [character] - Wetland full name, in Portuguese: Ria de Alvor, Estuário do Arade, Ria Formosa, Estuário do Guadiana.</li> <li>wetland_slug [character] - Short name of the wetland for coding purposes: alvor, arade, riaformosa, guadiana.</li> <li>latitude [numeric] - The geographic latitude (in decimal degrees, WGS84) of data point.</li> <li>longitude [numeric] - The geographic longitude (in decimal degrees, WGS84) of data point.</li> <li>year [integer] - Year of sample collection (YYYY).</li> <li>month [integer] - Month of sample collection (MM).</li> <li>year_precision [character] - Precision of the year registred: exact, after, before, or aproximately.</li> <li>habitat_class [factor] - Type of seagrass habitat: seagrass intertidal, seagrass subtidal, or seagrass unknown.</li> <li>species [factor] - Dominant seagrass species: Zostera noltei, Zostera marina, Cymodocea nodosa, unspecified.</li> <li>collection_code [character] - The name identifying the data set or collection from which the record was derived.</li> <li>catalogue_number [character] - An identifier for the record within the data set or collection.</li> <li>original_id [character] - An identifier given to the occurrence at the time it was recorded (specimen collector's number or site collection).</li> <li>duplicated [boolean] - whether the data point was flagged as duplicated or not.</li> </ul>   4) data_compilation_points_clean.csv Contains data points of seagrass occurrence based on the systematic review. This is the clean file after elimitating duplicates and points with unprobable or unprecise location. <ul> <li>data_id [character] - Unique identifier for the data point (same as used in data_compilation_raw.csv).</li> <li>record_id [character] - unique id for the compiled record from where data was extracted (same as in data_compilation_records.csv).</li> <li>short_citation [character] - Short reference (author(s) and year) (same as in data_compilation_records.csv).</li> <li>wetland [character] - Wetland full name, in Portuguese: Ria de Alvor, Estuário do Arade, Ria Formosa, Estuário do Guadiana.</li> <li>wetland_slug [character] - Short name of the wetland for coding purposes: alvor, arade, riaformosa, guadiana.</li> <li>latitude [numeric] - The geographic latitude (in decimal degrees, WGS84) of data point.</li> <li>longitude [numeric] - The geographic longitude (in decimal degrees, WGS84) of data point.</li> <li>year [integer] - Year of sample collection (YYYY).</li> <li>month [integer] - Month of sample collection (MM).</li> <li>year_precision [character] - Precision of the year registred: exact, after, before, or aproximately.</li> <li>habitat_class [factor] - Type of seagrass habitat: seagrass intertidal, seagrass subtidal, or seagrass unknown.</li> <li>species [factor] - Dominant seagrass species: Zostera noltei, Zostera marina, Cymodocea nodosa, unspecified.</li> <li>collection_code [character] - The name identifying the data set or collection from which the record was derived.</li> <li>catalogue_number [character] - An identifier for the record within the data set or collection.</li> <li>original_id [character] - An identifier given to the occurrence at the time it was recorded (specimen collector's number or site collection).</li> </ul>   5) data_compilation_extent.csv Contains area extent data of seagrass meadows based on the systematic review. <ul> <li>data_id [character] - Unique identifier for the data.</li> <li>record_id [character] - unique id for the compiled record from where data was extracted.</li> <li>short_citation [character] - Short reference (author(s) and year).</li> <li>wetland [character] - Wetland full name, in Portuguese: Ria de Alvor, Estuário do Arade, Ria Formosa, Estuário do Guadiana.</li> <li>wetland_slug [character] - Short name of the wetland for coding purposes: alvor, arade, riaformosa, guadiana.</li> <li>value [boolean] -  whether the data extracted from the record is a extent value (i.e., a value of area covered by seagrasses).</li> <li>polygon [boolean] -  whether the data extracted from the record is a polygon.</li> <li>year [integer] - Year of sample collection (YYYY).</li> <li>month [integer] - Month of sample collection (MM).</li> <li>year_precision [character] - Precision of the year registred: exact, after, before, or aproximately.</li> <li>habitat_class [factor] - Type of seagrass habitat: seagrass intertidal, seagrass subtidal, or seagrass unknown.</li> <li>species [factor] - Dominant seagrass species: Zostera noltei, Zostera marina, Cymodocea nodosa, unspecified.</li> <li>area_source [numeric] - The area extent given in the record.</li> <li>area_source_cover [factor] - The cover of the wetland for the compiled extent from the record means: total, partial or unknown.</li> <li>area_gis  [numeric] - The area extent obtained using GIS.</li> <li>area_gis_cover [factor] - The cover of the wetland for the obtained extent from GIS means: total, partial or unknown.</li> <li>notes [character] - Any relevant notes on the data compilation.</li> </ul>

opencc-by-4.0Dec 2022View details →

Supplementary material for "Increased sensitivity of marine invertebrates to metal toxicity in the past two decades linked to Climate Change and Ocean Acidification: revelations from a natural population of sea urchins in the Mediterranean Sea." by "Davide Sartori, Guido Scatena, Cristina Vrinceanu, Andrea Gaion".

Satellite observations of environmental factors and effect concentration 50 for copper to sea urchin, from 2003 to 2022.

opencc-by-4.0Feb 2023View details →

The modelling pastes of the monumental terracruda sculpture of the Silk Roads: archaeometric study of the Tepe Narenj and Qol-e-tut examples (Kabul, Afghanistan)

These data are the results of the mineralogical, petrographic and chemical study of different archaeological samples related to terracruda sculptures and other elements that were part of the architectural decoration of the Buddhist sites of Tepe Narenj and Qol-e-tut (Kabul, Afghanistan - 5th to 11th centuries CE). The main objective of the study was to characterize the samples using an archaeometric approach. The study helped to better understand the materials involved in the modelling of Afghan sculptures and their processing, such as the different nature of the clay layers and the finishing "stucco" coating. The results further indicate that similarities exist among the manufacturing process of the studied samples and that used today by an ancient caste of clay-artists in West Bengal (India), suggesting the existence of a continuous technological tradition that deserves to be further explored in the future.  Supplementary materials – S1. Bengali artist adding bele-mati to model the final shape of a terracruda sculpture (Kumortuli, Kolkata, 2019). Supplementary materials - S2. Pictures of the sculpture samples Supplementary materials - S3. Pictures of the relief and mural painting samples Supplementary materials - S4. Pictures of the wall samples Table 1. Samples analyzed, location, subsamples ID and description. Table 2. Results of petrographic and mineralogic analyses. Table 3. List of the main components for each sample [FA=fatty acid; C18:0 = stearic acid; C18:1 = oleic acid; C16:0 = palmitic acid; S27= cholesterol; βS= β-sitosterol, TA= tartaric acid; N= none; Y= yes]. Figure 2. Microphotographs in thin section under crossed nicols. (a) Phyllite in sample QT3. (b) Quartzite in sample TN4. (c) Cryptocrystalline limestone in TN1. (d) Muscovite (Ms) and calcite (Cal) in TN2. (e) Amphiboles (Amp) in QT3. (f) Microcline in QT1. Figure 3. Powder X-ray diffraction patterns from untreated clay samples (on the right) and samples after ethylene-glycol treatment (on the left) Mnt: montmorillonite. Figure 4. Microphoto by EMPA. (a) Particular of sample TN2 in which the phyllosilicate origin of the matrix is evident. (b), (c) and (d) Cuticles in sample TN4. (e) Pollen in sample TN4. (f) Oogonia in sample QT4. Figure 5. (a) Different layers in QT2, scan of the thin section under parallel nicols. (b) Stucco layer in TN1_a, arrows indicate the voids left by the fibers, micro photo in thin section under parallel nicols. (c) Different layer in TN2, scan of thin section under crossed nicols. (d) TN2_b layer where the red colour of the clay is evident, micro photo in thin section under parallel nicols. (e) Sample TN5, micro photo in thin section under parallel nicols. (f) SEM Image with particular of a fiber in TN5. Figure 6. Remains and imprints of a fabric between the stucco layer and the underlying earthen mortar in sample QT2. Left: OM Image 8x LEICA-EZ4W. Right: macroscopic view of a fragment of the internal part of QT2. Figure 7. Microphoto by EMPA. (a) Crushed pure gypsum in TN1_a. (b) Crushed gypsum in TN5 (yellow arrows) and amorphous areas (red arrows) corresponding to the organic matter. Figure 8. Microphotographs in thin section under Epifluorescence microscopy. (a) Stucco layer TN1_a. (b) Sample TN5. (c) Layers b and c in sample TN2. (d) Clay layer TN1_b  Figure 9. Partial gas chromatograms from exctracts (i) of samples (a) QT2_c, (b) QT2_b and (c) QT2_a.  [Cn:0 TMS= trimethylsilylated fatty acids with a specific number (n) of carbons, S27= cholesterol, β= β-sitosterol, dots= phthalates and IS= internal standard].   Figure 10. (a) Raman spectra of the blue pigment analyzed in sample QT1 and of lazurite present in the RRUFF database (RRUFF ID: R040023). (b) Raman spectra of the red pigment analyzed in sample QT1 and of hematite present in the Unical database. (c) Raman spectra of the QT1 binder and of calcite present in the Unical database. (d) Raman spectrum of the red pigment analyzed in sample QT2 and comparison with the hematite and gypsum spectra present in the Unical database. This work has been supported by National Geographic Society (EC-59568C-19) and is part of results of the doctoral research of M. López-Prat and the Juan de la Cierva contract (FJC2021-046803-I). The results have been obtained in the framework of the activities of the DIBEST department of the University of Calabria, the ERAAUB (a recognized and financed research group of the Generalitat de Catalunya - 2021 SGR 00696), the Institut d’Arqueologia of the Universitat de Barcelona, the Conservació-Restauració del Patrimoni research group (a recognized research group of the Generalitat de Catalunya - 2021 SGR 00089),and the CASEs research group (a recognized and financed research group of the Generalitat de Catalunya – 2021 SGR-00950).

opencc-by-4.0Feb 2022View details →

A past and present perspective on the European summer vapour pressure deficit

Here, we present the first gridded reconstruction of the European summer vapour pressure deficit (VPD) for the past four centuries (see https://doi.org/10.5194/essd-2022-47 for the study). The gridded reconstruction is based on 26 European tree-ring oxygen isotope records and is performed using a Random Forest approach.  Furthermore, we provide summer VPD data derived from 20CRV3 for the period 1836 to 2015 (Slivinski et al., 2019).  The data is structured as follows: <ul> <li>VPD_final_nested_reconstruction.nc -> contains the summer VPD reconstruction for the past 400 years</li> <li>CE_final_*_.nc -> provides the Coefficient of Efficiency metric for each time slice of the rec. (Nash and Sutcliffe, 1970)</li> <li>VPD_20CR_JJA.nc -> VPD data derived from 20CRV3 for the period 1836 to 2015 (Slivinski et al., 2019)</li> </ul>

opencc-by-4.0Mar 2023View details →

Frequency counts of all adjectives and past participles in the Dutch LassyGroot corpus

This record contains two datasets with the frequency counts of all adjectives and all past participles in the Dutch <a href="https://taalmaterialen.ivdnt.org/download/tstc-lassy-groot-corpus/">LassyGroot</a> corpus. Some of the tokenisation has been cleaned up. For more information, visit the <a href="https://github.com/AntheSevenants/Adjectiveness">GitHub repository</a>.

opencc-by-4.0Jun 2023View details →

Ports, Past and Present Blog (perma.cc link tabular data)

A list of blog and calendar posts from the Ports, Past and Present project written on Wordpress. This tabular data is a modified output from the <a href="https://perma.cc/">perma.cc</a> folder containing a series of WARC records captured on the 26th of June, 2023.

opencc-by-4.0Jul 2023View details →

A cropland cover dataset for the middle and lower reaches of the Yellow River over the past millennium

We developed a new gridding allocation model for croplands with unequal weight factors and reconstructed 58 time-point cropland cover maps at a 10-km resolution for the past millennium in the middle and lower reaches of the Yellow River in China. The cropland dataset can be used to model past climate change, estimate carbon emissions, assess human-activity-induced ecological effects, and improve global historical land use scenarios.

opencc-by-4.0Jul 2023View details →

Ports, Past and Present web archive - All Stories

This .wacz file is the web archive for the story collection at https://portspastpresent.eu/, completed on the 13th of July 2023. It captures the navigation options, user experience and story structure of the Omeka story collection at that time for posterity. For more information, see the attached README.

IG. 6. — A, Trunk vertebra of Alsophis sp. 2 from Pointe du Helleux archaeological site (Square 2 – crab layer) located on Grande-Terre Island; B, trunk vertebra of Erythrolamprus juliae cf. copeae (Parker, 1936) from Sainte-Rose La Ramée archaeological site (US 2058) located on Basse-Terre Island. Abbreviations: cd., condyle; ct., cotyle; di., diapophysis; h. k., hemal keel; m. c., medial constriction; n. a., neural arch; n. s., neural spine; p. c., precondylar constriction; p. d., paracotylar depression; p. n., postero-medial notch of the zygantrum; pa., parapophysis; pz. f., prezygapophyseal facet; pz. p., prezygapophyseal process; s. d., subcentral depression; s. r., subcentral ridge; s. t., sub-cotylar tubercle; zs., zygosphene. Scale bars: 4 mm in Fossil dipsadid snakes from the Guadeloupe Islands (French West-Indies) and their interactions with past human populations

IG. 6. — A, Trunk vertebra of Alsophis sp. 2 from Pointe du Helleux archaeological site (Square 2 – crab layer) located on Grande-Terre Island; B, trunk vertebra of Erythrolamprus juliae cf. copeae (Parker, 1936) from Sainte-Rose La Ramée archaeological site (US 2058) located on Basse-Terre Island. Abbreviations: cd., condyle; ct., cotyle; di., diapophysis; h. k., hemal keel; m. c., medial constriction; n. a., neural arch; n. s., neural spine; p. c., precondylar constriction; p. d., paracotylar depression; p. n., postero-medial notch of the zygantrum; pa., parapophysis; pz. f., prezygapophyseal facet; pz. p., prezygapophyseal process; s. d., subcentral depression; s. r., subcentral ridge; s. t., sub-cotylar tubercle; zs., zygosphene. Scale bars: 4 mm

FIG. 4 in Fossil dipsadid snakes from the Guadeloupe Islands (French West-Indies) and their interactions with past human populations

FIG. 4. — Cranial bones of Alsophis antillensis (Schlegel, 1837) from La Désirade and Marie-Galante islands: A, right maxilla from Pointe Gros Rempart 6 (Dec. 7) located on La Désirade Island; B, right palatine from Blanchard Cave (Layer 8) located Marie-Galante Island; C, D, left pterygoid anterior (C) and posterior (D) fragments from Blanchard Cave (layers 8 and 10) located Marie-Galante Island; E, left compound bone from Blanchard Cave (Layer 8) located Marie-Galante Island; F, right dentary from Pointe Gros Rempart 6 (Dec. 3) located on La Désirade Island. Abbreviations: c. p., choanal process; d. n., dorsal notch; di., diastema; e. p. m., ectopterygoid process of the maxilla; e. p. p., ectopterygoid process of the pterygoid; f. m. n., foramen for the maxillary nerve; g. f., glenoid

FIG. 2 in Fossil dipsadid snakes from the Guadeloupe Islands (French West-Indies) and their interactions with past human populations

FIG. 2. — Morphological variability among four specimens of Alsophis Fitzinger, 1843. From left-to-right: smallest and largest available specimens of Alsophis rijgersmaei Cope, 1869 and Alsophis antillensis (Schlegel, 1837) varieties A and B (of Duméril et al. 1854). The two figured vertebrae for each specimen correspond to the most different morphologies observed among the trunk vertebrae (anterior vertebra on the left and median vertebra on the right).

FIG. 7 in Fossil dipsadid snakes from the Guadeloupe Islands (French West-Indies) and their interactions with past human populations

FIG. 7. — Results of statistical analyses of fossil and modern dipsadid snake vertebrae on the Guadeloupe Islands: A, two first axes of the PCA conducted on the maximum number of specimens (first analysis); B, Mahalanobis distance tree obtained from the results of the LDA (first analysis); C, two first axes of the PCA conducted on the maximum number of measurements (second analysis); D, Mahalanobis distance tree obtained from the results of the LDA (second analysis).

opencc-by-4.0Aug 2020View details →

Fig. 5 in First insights into past biodiversity of giraffes based on mitochondrial sequences from museum specimens

Fig. 5. Giraffe subspecies of the Nile region. The map (extracted from Google Earth; https://www.google.com/intl/de/earth/) shows the geographical barriers (rivers and mountains) that may have isolated (at least temporarily) the subspecies Giraffa camelopardalis camelopardalis (Linnaeus, 1758) (red), G. c. antiquorum (Jardine, 1835) (yellow), G. c. rothschildi Lydekker, 1903 (green) and G. c. reticulata de Winton, 1899 (magenta). The question mark refers to the uncertain geographic origin of Zarafa (left) and the two specimens from Abyssinia (right) (see Discussion for more details).

opencc-by-4.0Aug 2020View details →

Fig. 2 in First insights into past biodiversity of giraffes based on mitochondrial sequences from museum specimens

Fig. 2. Illustrations of historical giraffe specimens. A. The ʻGiraffe of Levaillantʼ, anonymous painting made in the late 18th century and early 19th century, exhibited in ʻhôtel de Magnyʼ, Jardin des Plantes in Paris (France). B. The ʻGiraffe from Sennaarʼ, representing a lithography of Zarafa (MNHN-1845-211) and the skull of a giraffe from the Cape region (Geoffroy Saint-Hilaire 1827). C. Drawing of the holotype of Giraffa camelopardalis congoensis Lydekker, 1903 (RMCA-452), housed in the Royal Museum of Central Africa, Tervuren (Belgium) (Lydekker 1904). D. Head drawings of the holotypes of G. c. cottoni Lydekker, 1904 (NHMUK-1904.1.21.1, left) and G. g. wardi Lydekker, 1904 (NHMUK-1903.11.18.1, right) (Lydekker 1914).

opencc-by-4.0Feb 2015View details →

Figure 1 in The role of female cephalopod researchers: past and present

Figure 1. Bibliometric analysis of the papers presented during the CIAC 2012 Symposium. (A) Registrations by gender; (B) authorship of oral presentations by gender; (C) presenters of oral presentations by gender; (D) authorship of poster presentations by gender.

dryad40/100

Data from: Effects of past mating behavior versus past ejaculation on male mate choice and male attractiveness

Past reproductive effort allows males to assess their ability to acquire mates, but it also consumes resources that can reduce their future competitive ability. Few studies have examined how a male's reproductive history affects his subsequent mate choice; and, to date, no study has determined the relative contribution of past mating behavior and past ejaculate production because these two forms of investment are naturally highly correlated. Here, we disentangled the relative effects of past mating behavior and past ejaculate production in male mosquitofish (Gambusia holbrooki) by experimentally preventing some males from ejaculating when trying to mate. We assessed the effect of mating behavior on mate choice by comparing males that had previously been with or without access to females and male rivals for 16 weeks; and assessed the effect of ejaculation on mate choice by comparing males that either could or could not ejaculate when they had access to females for 16 weeks. We compared (1) time females spent with each male, (2) total distance males swam, (3) total time males spent inspecting females, (4) proportion of time males spent with the solitary females in separate models, with age (week 8, week 16) and treatment of reproductive history ("naive male", "mating only male" and "mating and ejaculation males") as fixed factors. We showed that reproductive history did not affect male attractiveness, but it did affect male mate choice. Somewhat surprisingly, in two-choice trials males from all three treatments preferred females in the vicinity of a rival over solitary females. This preference was marginally stronger for males engaging in previous mating behavior but was unaffected by past ejaculate production. This is the first study to quantify the relative influence of pre- and post-copulatory reproductive investment on male mate choice.

opencc-zeroJan 2024View details →

opencc-by-4.0Sep 2023View details →

On the Helpfulness of Answering Developer Questions on Discord with Similar Conversations and Posts from the Past

Replication Package for "On the Helpfulness of Answering Developer Questions on Discord with Similar Conversations and Posts from the Past".