cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7360010
title: 3D-EdgeAngle_test-dataset

description: This dataset is meant to test 3D-EdgeAngle – A semi-automated 3D digital method to systematically quantify stone tool edge angle and design. The dataset contains a 3D model (stl format), digitalised edges (igs format) as well as the results of the edge angle calculation. The scripts for the 3D-Edge angle have been written with Python in GOM Inspect Professional 2016. The repository containing the scripts is also as available as open access on Zenodo (https://doi.org/10.5281/zenodo.7956767). The 3D model is a model of an archaeological tool (co-called <em>Keilmesser</em>) from the Upper site of Buhlen, Germany. The artefact dates to the Late Middle Palaeolithic. The archaeological finds from Buhlen are normally stored and displayed at the Hessisches Landesmuseum in Kassel, Germany (https://museum-kassel.de/de/museen-schloesser-parks/hessisches-landesmuseum). For more information about the artefact see: Schunk L. Understanding Middle Palaeolithic asymmetric stone tool design and use: functional analysis and controlled experiments to assess Neanderthal technology Verlag des Römisch- Germanischen Zentralmuseums Mainz. https://doi.org/10.11588/propylaeum.1076 The 3D model was produced with an AICON smartSCAN-HE R8 from the manufacturer Hexagon (software version OptoCat 2018R1), featuring a blue light LED and two black and white cameras with 8 megapixels each. The S-150 FOV used has a point-to-point distance of 33 µm. After scanning, the 3D model (STL file) was edited in the free software GOM Inspect 2018 (2018 Hotfix 2, Rev. 111729). The scanning took place at TraCEr, Laboratory for Traceology and Controlled Experiments at MONREPOS Archaeological Research Centre and Museum for Human Behavioural Evolution, RGZM, Neuwied, Germany.
DOI: 10.5281/zenodo.7326241
title: 3D models: BU-072, EAP-flake & WEM-60

description: These 3D models were produced with an AICON smartSCAN-HE R8 from the manufacturer Hexagon (software version OptoCat 2018R1), featuring a blue light LED and two black and white cameras with 8 megapixels each. The S-150 FOV used has a point-to-point distance of 33 µm. After scanning, the 3D models (STL files) were edited in the free software GOM Inspect 2018 (2018 Hotfix 2, Rev. 111729). The scanning took place at TraCEr, Laboratory for Traceology and Controlled Experiments at MONREPOS Archaeological Research Centre and Museum for Human Behavioural Evolution, RGZM, Neuwied, Germany. The 3D models have been used in 3D-EdgeAngle: A semi-automated 3D digital method to systematically quantify stone tool edge angle and design. For more information see ZENODO LINK XXXX & Protocol link XXXX <strong>BU-072:</strong> 3D model of an archaeological tool (co-called <em>Keilmesser</em>) from the Upper site of Buhlen, Germany. The artefact dates to the Late Middle Palaeolithic. The archaeological finds from Buhlen are normally stored and displayed at the Hessisches Landesmuseum in Kassel, Germany (https://museum-kassel.de/de/museen-schloesser-parks/hessisches-landesmuseum). For more information about the artefact see: Schunk L. Understanding Middle Palaeolithic asymmetric stone tool design and use: functional analysis and controlled experiments to assess Neanderthal technology Verlag des Römisch- Germanischen Zentralmuseums Mainz. https://doi.org/10.11588/propylaeum.1076 <strong>EAP-flake:</strong> This object is an experimental elongated laminar flake. The raw material is Baltic flint. One edge of the flake is retouched in the distal part. The retouch is applied on the dorsal face and is performed marginally, i.e., little invasive. <strong>WEM-60:</strong> The third item is a 3D model of a calibrated standard angle (gauge block) made of certified steel. The gauge block has a certified nominal value of 60 degrees and is coated with oil to avoid corosion. Note that for WEM-60 some extra target marks on the sample were needed to make the aligning between the singal scans possible. Thus, adhesive paper tags with symbols were placed on the calibrated standard angle. Despite ungreasing the metal surface of the sample, the adhesive paper tags showed a tendency to peel off after a period of time.
DOI: 10.5281/zenodo.7326242
title: 3D models: BU-072, EAP-flake & WEM-60

description: These 3D models were produced with an AICON smartSCAN-HE R8 from the manufacturer Hexagon (software version OptoCat 2018R1), featuring a blue light LED and two black and white cameras with 8 megapixels each. The S-150 FOV used has a point-to-point distance of 33 µm. After scanning, the 3D models (STL files) were edited in the free software GOM Inspect 2018 (2018 Hotfix 2, Rev. 111729). The scanning took place at TraCEr, Laboratory for Traceology and Controlled Experiments at MONREPOS Archaeological Research Centre and Museum for Human Behavioural Evolution, RGZM, Neuwied, Germany. The 3D models have been used in 3D-EdgeAngle: A semi-automated 3D digital method to systematically quantify stone tool edge angle and design. For more information see ZENODO LINK XXXX & Protocol link XXXX <strong>BU-072:</strong> 3D model of an archaeological tool (co-called <em>Keilmesser</em>) from the Upper site of Buhlen, Germany. The artefact dates to the Late Middle Palaeolithic. The archaeological finds from Buhlen are normally stored and displayed at the Hessisches Landesmuseum in Kassel, Germany (https://museum-kassel.de/de/museen-schloesser-parks/hessisches-landesmuseum). For more information about the artefact see: Schunk L. Understanding Middle Palaeolithic asymmetric stone tool design and use: functional analysis and controlled experiments to assess Neanderthal technology Verlag des Römisch- Germanischen Zentralmuseums Mainz. https://doi.org/10.11588/propylaeum.1076 <strong>EAP-flake:</strong> This object is an experimental elongated laminar flake. The raw material is Baltic flint. One edge of the flake is retouched in the distal part. The retouch is applied on the dorsal face and is performed marginally, i.e., little invasive. <strong>WEM-60:</strong> The third item is a 3D model of a calibrated standard angle (gauge block) made of certified steel. The gauge block has a certified nominal value of 60 degrees and is coated with oil to avoid corosion. Note that for WEM-60 some extra target marks on the sample were needed to make the aligning between the singal scans possible. Thus, adhesive paper tags with symbols were placed on the calibrated standard angle. Despite ungreasing the metal surface of the sample, the adhesive paper tags showed a tendency to peel off after a period of time.
DOI: 10.4121/e32a9868-c5ea-43d3-8969-b1908662b2b2.v1
title: Simulation data and code underlying the publication: Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects

description: Code and simulation results for a validation study comparing three free-vortex wake models for wind turbine control optimisation.<br>The free-vortex wake models for simulating the wind turbine wake are provided as Julia code. The associated data is presented in the publication demonstrating the validation of the models for predicting downwind dynamics of wind turbine wakes under yaw misalignment.<br>Model code and simulation data supporting the paper "Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects"
DOI: 10.6084/m9.figshare.16917502
title: Literature review database on 7 New World Vultures and Condors. Number of publications by species and research topic

description: This database includes the keywords used for running a literature review on all the scientific studies addressing New World vultures and condors. It also includes the full database of the identified literature, along with metadata on the species addressed, and the topic of the research, whereby a code "1" means the species or the topic was addressed by a specific study (one study per row).<br>
DOI: 10.6084/m9.figshare.16917502.v1
title: Literature review database on 7 New World Vultures and Condors. Number of publications by species and research topic

description: This database includes the keywords used for running a literature review on all the scientific studies addressing New World vultures and condors. It also includes the full database of the identified literature, along with metadata on the species addressed, and the topic of the research, whereby a code "1" means the species or the topic was addressed by a specific study (one study per row).<br>
DOI: 10.6084/m9.figshare.22099739
title: Santangeli et al. Mixed effects of protected areas on terrestrial and freshwater biodiversity. Data & scripts.

description: This zipped folder includes all data and the scripts to replicate the analyses from the study by Santangeli et al. <em>Mixed effects of protected areas on terrestrial and freshwater biodiversity.</em> Specifically, we include in the main folder the script (R file, suitable for R software - "<strong>SiteMatchingBirdExample</strong>") and site level data ("<strong>BirdData.csv</strong>") used to run the matching analyses of protected and unportected sites (data and script provided for the birds data only due to data ownership agreements). This example is easily applicable to the other three taxonomic groups. We also include the data and scripts to run the Joint Species Distribution Modeling on the occurrence data separately for each of the four taxonomic groups studied in the folder "<em>HMSC_models</em>". Here the user will find four separate sub-folders, each including in turn a folder named <strong>data </strong>which hosts the occurrence data from sites selected after matching for that taxon (CSV file named <strong>SXY,</strong> includes also site level information), as well as a script file (named e.g. <em>birds_HMSC </em>in the case of birds folder) that can be used to replicate the joint species distribution model on that specific taxonomic group.
DOI: 10.17632/9g6646pvd4.1
title: supervised exercise vs regular care in breast cancer

description: supervised exercises were given to breast cancer patient and was compared with regular care.
DOI: 10.17632/f3kfnddts5.1
title: Data on heart disease

description: Data containing information on 154 patients, of which only 6 did not have missing values for the characteristics of interest to us. Due to the fact that there are a large number of observations with gaps, we cannot exclude them from consideration. All patients underwent heart surgery; they were divided into g = 2 groups according to gender — female (41 patients) and male (113 patients). For each patient data, the data is measured at t = 4 time points.
DOI: 10.17632/3stzwdp4n2.1
title: Falling head calculation spreadsheet

description: MS Excel spreadsheet based on an automated formula with a solver. It serves for hydraulic conductivity calcuclation and error estimation by fitting the parameters of the theoretical formula (Darcy Equation) to the field data. The spreadsheet was developed to analize data collected by the falling head method in permeability investigation of riverbed sediments.
DOI: 10.17632/3stzwdp4n2.2
title: Falling head calculation spreadsheet

description: MS Excel spreadsheet based on an automated formula with a solver. It serves for hydraulic conductivity calcuclation and error estimation by fitting the parameters of the theoretical formula (Darcy Equation) to the field data. The spreadsheet was developed to analize data collected by the falling head method in permeability investigation of riverbed sediments.
DOI: 10.17632/3stzwdp4n2.3
title: Falling head calculation spreadsheet

description: MS Excel spreadsheet based on an automated formula with a solver. It serves for hydraulic conductivity calcuclation and error estimation by fitting the parameters of the theoretical formula (Darcy Equation) to the field data. The spreadsheet was developed to analize data collected by the falling head method in permeability investigation of riverbed sediments.
DOI: 10.17632/44mmyb4hxv.1
title: Data on iron therapy for pregnant women

description: The data contains information on n= 160 women during pregnancy and after childbirth who were treated with iron preparations, the data are divided into g= 3 groups (0 - control group, 1 - drugs were administered intravenously, 2 - drugs in the form of tablets) . Further, we will be interested in the following features measured at t = 5 time points.
DOI: 10.6084/m9.figshare.23090465
title: Data from Rodríguez-Hernández et al. (2023) "Detection of <em>Mycobacterium tuberculosis</em> complex field infections in cattle using faecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics".

description: Bovine tuberculosis is considered a re-emerging disease caused by different species from the <em>Mycobacterium tuberculosis</em> complex (MTC), not only important for the livestock sector but also for public health due its zoonotic character. Despite numerous efforts that have been carried out to improve the performance of the current <em>antemortem</em> diagnostic procedures, nowadays they still pose several drawbacks, such as moderate to low sensitivity, highlighting the necessity to develop alternative and innovative tools to complement control and surveillance frameworks. Volatilome analysis is considered an innovative approach which has been widely employed in animal science, including animal health field and diagnosis, due to the useful and interesting information provided by volatile metabolites. Therefore, this study assesses the potential of Gas Chromatography coupled to Ion Mobility Spectrometry (GC-IMS) to discriminate cattle naturally infected (field infections) by MTC from non-infected animals. Volatile Organic Compounds (VOCs) produced from faeces were analysed, employing the subsequent information through chemometrics. After the evaluation of Variable Importance for the Projection (VIP) of compounds, the final discriminant models achieved a robust performance in cross-validation, as well as high percentages of correct classification (&gt;90%) and optimal data of sensitivity (91.66%) and specificity (99.99%) in external validation. The tentative identification of some VOCs revealed some coincidences with previous studies, although potential new compounds associated with the discrimination of infected and non-infected subjects were also addressed. These results provide strong evidence that a volatilome analysis of faeces through GC-IMS coupled to chemometrics could become a valuable methodology to discriminate the infection by MTC in cattle. <br> Steps to reproduce: 1.5 grams of fresh faeces were placed in a 20 mL glass headspace vial, it was subsequently closed with a magnetic screw cap and a PTFE silicone septum and, finally, volatile organic compounds were analysed through gas chromatography coupled to ion mobility spectrometry. The final database is result of the selection of 260 features in the topographic plots of GC-IMS equipment.
DOI: 10.6084/m9.figshare.23090465.v1
title: Data from Rodríguez-Hernández et al. (2023) "Detection of <em>Mycobacterium tuberculosis</em> complex field infections in cattle using faecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics".

description: Bovine tuberculosis is considered a re-emerging disease caused by different species from the <em>Mycobacterium tuberculosis</em> complex (MTC), not only important for the livestock sector but also for public health due its zoonotic character. Despite numerous efforts that have been carried out to improve the performance of the current <em>antemortem</em> diagnostic procedures, nowadays they still pose several drawbacks, such as moderate to low sensitivity, highlighting the necessity to develop alternative and innovative tools to complement control and surveillance frameworks. Volatilome analysis is considered an innovative approach which has been widely employed in animal science, including animal health field and diagnosis, due to the useful and interesting information provided by volatile metabolites. Therefore, this study assesses the potential of Gas Chromatography coupled to Ion Mobility Spectrometry (GC-IMS) to discriminate cattle naturally infected (field infections) by MTC from non-infected animals. Volatile Organic Compounds (VOCs) produced from faeces were analysed, employing the subsequent information through chemometrics. After the evaluation of Variable Importance for the Projection (VIP) of compounds, the final discriminant models achieved a robust performance in cross-validation, as well as high percentages of correct classification (&gt;90%) and optimal data of sensitivity (91.66%) and specificity (99.99%) in external validation. The tentative identification of some VOCs revealed some coincidences with previous studies, although potential new compounds associated with the discrimination of infected and non-infected subjects were also addressed. These results provide strong evidence that a volatilome analysis of faeces through GC-IMS coupled to chemometrics could become a valuable methodology to discriminate the infection by MTC in cattle. <br> Steps to reproduce: 1.5 grams of fresh faeces were placed in a 20 mL glass headspace vial, it was subsequently closed with a magnetic screw cap and a PTFE silicone septum and, finally, volatile organic compounds were analysed through gas chromatography coupled to ion mobility spectrometry. The final database is result of the selection of 260 features in the topographic plots of GC-IMS equipment.
DOI: 10.6084/m9.figshare.22210723.v1
title: Data for "A large-scale field experiment of artificially caused landslides with replications revealed the response of the ground-dwelling beetle community to landslides".

description: Data for Furusawa, J., Makoto, K., & Utsumi, S. (2023). A large‐scale field experiment of artificially caused landslides with replications revealed the response of the ground‐dwelling beetle community to landslides. Ecology and Evolution, 13(3), e9939. <br> These files contain species composition and abundance data of ground-dwelling beetles and body size data of all individuals of collected beetles. Species composition and abundance data were collected in the Teshio, Nakagawa, and Uryu Experimental Forests of Hokkaido University in northern Hokkaido, Japan in July and August 2021. The setting in which species composition and abundance data were collected were artificially caused landslide sites or undisturbed forests. Body size data were obtained by measuring all individuals of the collected beetles in the following manner: 1) digital images of all individuals of the collected beetles were taken with a digital camera (Tough TG-6, Olympus, Tokyo), 2) the lengths of the head, pronotum, and elytron were measured, using ImageJ 1.53k, 3) the sum of these lengths was used as body size.
DOI: 10.5281/zenodo.7951404
title: Simulation results from WRF-CMAQ without aerosol feedbacks in eastern China for January-April 2017

description: Simulation results from WRF-CMAQ without aerosol feedbacks in eastern China for January-April 2017 including meteorology and air quality:YYYYMM_wrfout.zip:Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for January-April 2017, which contains these variables:T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHBYYYYMM_CCTM_ACONC.zip:Air quality file including CCTM_ACONC_v3852_YYYYMMDD.nc on each day for January-April 2017, which contains these variables:ASO4I, ANO3I, ANH4I, ANAI, ACLI, AECI, ALVPO1I, ASVPO1I, ASVPO2I, ALVOO1I, ALVOO2I, ASVOO1I, ASVOO2I, AOTHRI, ASO4J, ANO3J, ANH4J, ANAJ, ACLJ, AECJ, AOTHRJ, AFEJ, ASIJ, ATIJ, ACAJ, AMGJ, AMNJ, AALJ, AKJ, ALVPO1J, ASVPO1J, ASVPO2J, AXYL1J, AXYL2J, AXYL3J, ATOL1J, ATOL2J, AXYL2J, AXYL3J, ATOL1J, ABNZ3J, AISO1J, AISO2J, AISO3J, ATRP1J, ATRP2J, ASQTJ, AALK1J, AALK2J, APAH1J, APAH2J, APAH3J, AORGCJ, AOLGBJ, AOLGAJ, ALVOO1J, ALVOO2J, ASVOO1J, ASVOO2J, ASVOO3J, APCSOJ, ASOIL, ACORS, ACLK, ASO4K, ANO3K, ANH4K, O3, SO2, NO2, CO, and NH3.YYYYMM_CCTM_APMDIAG.zip:Air quality file including CCTM_APMDIAG_v3852_YYYYMMDD.nc on each day for January-April 2017, which contains these variables:PM25AT, PM25AC and PM25CO.YYYYMM_CCTM_PHOTDIAG1.zip:Air quality file including CCTM_PHOTDIAG1_v3852_YYYYMMDD.nc on each day for January-April 2017, which contains these variables:OZONE_COLUMN, NO2_COLUMN, CO_COLUMN, SO2_COLUMN, HCHO_COLUMN, TROPO_O3_COLUMN and AOD_W550_ANGST.
DOI: 10.5281/zenodo.7951403
title: Simulation results from WRF-CMAQ without aerosol feedbacks in eastern China for January-April 2017

description: Simulation results from WRF-CMAQ without aerosol feedbacks in eastern China for January-April 2017 including meteorology and air quality:YYYYMM_wrfout.zip:Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for January-April 2017, which contains these variables:T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHBYYYYMM_CCTM_ACONC.zip:Air quality file including CCTM_ACONC_v3852_YYYYMMDD.nc on each day for January-April 2017, which contains these variables:ASO4I, ANO3I, ANH4I, ANAI, ACLI, AECI, ALVPO1I, ASVPO1I, ASVPO2I, ALVOO1I, ALVOO2I, ASVOO1I, ASVOO2I, AOTHRI, ASO4J, ANO3J, ANH4J, ANAJ, ACLJ, AECJ, AOTHRJ, AFEJ, ASIJ, ATIJ, ACAJ, AMGJ, AMNJ, AALJ, AKJ, ALVPO1J, ASVPO1J, ASVPO2J, AXYL1J, AXYL2J, AXYL3J, ATOL1J, ATOL2J, AXYL2J, AXYL3J, ATOL1J, ABNZ3J, AISO1J, AISO2J, AISO3J, ATRP1J, ATRP2J, ASQTJ, AALK1J, AALK2J, APAH1J, APAH2J, APAH3J, AORGCJ, AOLGBJ, AOLGAJ, ALVOO1J, ALVOO2J, ASVOO1J, ASVOO2J, ASVOO3J, APCSOJ, ASOIL, ACORS, ACLK, ASO4K, ANO3K, ANH4K, O3, SO2, NO2, CO, and NH3.YYYYMM_CCTM_APMDIAG.zip:Air quality file including CCTM_APMDIAG_v3852_YYYYMMDD.nc on each day for January-April 2017, which contains these variables:PM25AT, PM25AC and PM25CO.YYYYMM_CCTM_PHOTDIAG1.zip:Air quality file including CCTM_PHOTDIAG1_v3852_YYYYMMDD.nc on each day for January-April 2017, which contains these variables:OZONE_COLUMN, NO2_COLUMN, CO_COLUMN, SO2_COLUMN, HCHO_COLUMN, TROPO_O3_COLUMN and AOD_W550_ANGST.
DOI: 10.5281/zenodo.7951467
title: Simulation results from WRF-CMAQ without aerosol feedbacks in eastern China for May-August 2017

description: Simulation results from WRF-CMAQ without aerosol feedbacks in eastern China for May-August 2017 including meteorology and air quality:YYYYMM_wrfout.zip:Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for May-August 2017, which contains these variables:T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHBYYYYMM_CCTM_ACONC.zip:Air quality file including CCTM_ACONC_v3852_YYYYMMDD.nc on each day for May-August 2017, which contains these variables:ASO4I, ANO3I, ANH4I, ANAI, ACLI, AECI, ALVPO1I, ASVPO1I, ASVPO2I, ALVOO1I, ALVOO2I, ASVOO1I, ASVOO2I, AOTHRI, ASO4J, ANO3J, ANH4J, ANAJ, ACLJ, AECJ, AOTHRJ, AFEJ, ASIJ, ATIJ, ACAJ, AMGJ, AMNJ, AALJ, AKJ, ALVPO1J, ASVPO1J, ASVPO2J, AXYL1J, AXYL2J, AXYL3J, ATOL1J, ATOL2J, AXYL2J, AXYL3J, ATOL1J, ABNZ3J, AISO1J, AISO2J, AISO3J, ATRP1J, ATRP2J, ASQTJ, AALK1J, AALK2J, APAH1J, APAH2J, APAH3J, AORGCJ, AOLGBJ, AOLGAJ, ALVOO1J, ALVOO2J, ASVOO1J, ASVOO2J, ASVOO3J, APCSOJ, ASOIL, ACORS, ACLK, ASO4K, ANO3K, ANH4K, O3, SO2, NO2, CO, and NH3.YYYYMM_CCTM_APMDIAG.zip:Air quality file including CCTM_APMDIAG_v3852_YYYYMMDD.nc on each day for May-August 2017, which contains these variables:PM25AT, PM25AC and PM25CO.YYYYMM_CCTM_PHOTDIAG1.zip:Air quality file including CCTM_PHOTDIAG1_v3852_YYYYMMDD.nc on each day for May-August 2017, which contains these variables:OZONE_COLUMN, NO2_COLUMN, CO_COLUMN, SO2_COLUMN, HCHO_COLUMN, TROPO_O3_COLUMN and AOD_W550_ANGST.