cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14582486
title: Diverse patterns of responsiveness to fine temporal features of acoustic signals in a temperate austral forest frog, <i>Batrachyla leptopus</i> (Batrachylidae)

description: Phonotactic female and vocal male responses of frogs to advertisement calls have been shown to encompass broader ranges than those of variation of natural mate-attracting signals. Anuran aggressive calls contribute to expand the range of sound features significant for communication. Evoked vocal responses (EVRs) of males of <i>Batrachyla leptopus</i> to synthetic advertisement calls and variants with different temporal features altered parametrically were studied to assess their correspondence with features of natural signals. Frogs responded to stimuli differing in note rate with vocal patterns that depended on the design of the synthetic sounds: lower call rates were obtained with stimuli composed of notes with linear rise-fall times deviating from the average of this parameter for natural calls. However, opposite results were obtained with stimuli composed of sinusoidally amplitude-modulated notes. Calls of longer duration resembling aggressive calls were emitted in response to low note rate sinusoidal stimuli. Stimuli with note durations above and below the natural average, stimuli having low pulse rates and a continuous tone also elicited longer calls of aggressive type. These patterns relate the vocal responses recorded to recognition of conspecific and heterospecific advertisement and aggressive calls, as well as to novel signal features.
DOI: 10.15151/esrf-es-439498611
title: Controlling lattice flexibility in MOF film by structural transformation

description: We recently developed a heat treatment based post-synthetic treatment on ZIF-8 membranes, leading to dissociation of methyl group from the linker (2-methylimidazole) and a formation of linker vacancy defects, which manifests into the shrinkage of lattice parameter by up to 1%. As a result, unprecedented H2/CH4, CO2/CH4, and CO2/N2 selectivities of 170, 32.5, and 29.3, respectively, were achieved. With this significant effect of the heat treatment of ZIF-8 films on the gas-diffusivity, this proposal aims to gain in-depth understanding of the thermal-treatment led structural transformation in MOFs. We seek to decouple strain in the supported polycrystalline film from the lattice shrinkage and generate high precision data correlating lattice parameter to gas diffusivity. Further, we seek to understand whether or not such lattice parameter changes will take place by RHT-led controlled linker modification in a wider range of MOFs (ZIF-67, ZIF-90, ZIF-7) to tune the gas diffusivity.
DOI: 10.48370/ofd/lqhlwu/xdneo2
title: Jurewicz Małgorzata - Załączniki.pdf

description: :unav
DOI: 10.48370/ofd/lqhlwu/9ajcua
title: Jurewicz Małgorzata.pdf

description: :unav
DOI: 10.48370/ofd/lqhlwu
title: Analiza stanu poznania entomofauny Puszczy Knyszyńskiej

description: Promotor: Jerzy M. Gutowski
DOI: 10.48370/ofd/iwfekz/n24qsl
title: Ponurek Schneidera (Boros schneideri)1.JPG

description: :unav
DOI: 10.48370/ofd/iwfekz
title: Ponurek Schneidera (Boros schneideri (Panzer, 1796)), C-379

description: Coleoptera collection
DOI: 10.48370/ofd/tayel3/uhu7la
title: Kaczmarska Sylwia - tabele i ryciny.pdf

description: :unav
DOI: 10.48370/ofd/tayel3/mcsuvw
title: Kaczmarska Sylwia.pdf

description: :unav
DOI: 10.48370/ofd/tayel3/tomfhy
title: Kaczmarska Sylwia - Tabele.pdf

description: :unav
DOI: 10.48370/ofd/tayel3
title: Analiza zmian składu gatunkowego podrostów na siedliskach olsu jesionowego na stałych powierzchniach badawczych IBL w Puszczy Białowieskiej

description: Promotor: Rafał Paluch
DOI: 10.3217/mdpyg-z1338
title: Experimental data of a PCM storage prototype

description: This data set contains experimental test results carried out in the laboratory of Graz University of Technology, Institute of Thermal Engineering from October 2020 until February 2021. The storage prototype (volume 1 m³) was filled with pure water for the first five experiments. After these experiments the storage was filled with macro-encapsulated phase change material (PCM) (945 modules, 32 % of the storage volume) with the PCM ATS15 from the manufacturer Rubitherm and water. Temperature sensors (Pt100) were mounted at the top and the bottom port of the storage to measure the temperature of the heat transfer fluid (HTF = water), and in close distance to the volume flow measurement device ProMag50 (Vdot_MID). Four temperature sensors were mounted in thermowells equally spaced over the height of the storage tank (T_HTF1 – T_HTF4) to measure the temperature of the water in the storage. The ambient air temperature (T_AMB) was measured at a height of 1.5 m next to the storage.
description: This "document" is supported by European Union's Horizon 2020 research and innovation programme under grant agreement No 818012, project Hybrid-BioVGE (Hybrid Variable Geometry Ejector Cooling and Heating System for Buildings Driven by Solar and Biomass Heat ).
DOI: 10.48370/ofd/1xasy8/7mosey
title: Tabela 14.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/ckbry2
title: Tabela 6.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/n5nhna
title: Tabela 19.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/5sedgb
title: Tabela 10.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/avievr
title: Tabela 12.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/zzyc1t
title: Tabela 8.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/nbzkfv
title: Doroszkiewicz Daniel -Mapa zespołów leśnych.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/gpf2d8
title: Tabela 7.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/mxhzac
title: Tabela 13.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/pfydoz
title: Tabela 3.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/xclhqq
title: Doroszkiewicz Daniel.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/2vwpkw
title: Tabela 18.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/k6b7g4
title: Tabela 11.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/tzikvw
title: Tabela 4.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/6sea28
title: Tabela 15.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/pqxjuv
title: Tabela 16.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/yrfl0h
title: Tabela 2.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/v1pk74
title: Tabela 9.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/9o1qq3
title: Tabela 17.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8/frynxe
title: Tabela 5.pdf

description: :unav
DOI: 10.48370/ofd/1xasy8
title: Inwentartyzacja zbiorowisk roślinnych i flory roślin naczyniowych uroczyska Wojnówka

description: Promotor: Włodzimierz Kwiatkowski
DOI: 10.5281/zenodo.6303537
title: Fluid Transport and Storage in the Cascadia Forearc inferred from Magnetotelluric Data

description: The 3D electrical resistivity model derived from magnetotelluric data inversion. The model file is in netCDF format, which can be viewed using any standard netCDF plotting tools (e.g. Panoply).
DOI: 10.5281/zenodo.6303536
title: Fluid Transport and Storage in the Cascadia Forearc inferred from Magnetotelluric Data

description: The 3D electrical resistivity model derived from magnetotelluric data inversion. The model file is in netCDF format, which can be viewed using any standard netCDF plotting tools (e.g. Panoply).
DOI: 10.34740/kaggle/dsv/3238361
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.19248452
title: Supplementary Material for: A Comparative Study of Serum Phosphate and Related Parameters in Chronic Kidney Disease between the USA and Japan

description: <b><i>Introduction:</i></b> Recent studies have suggested a higher incidence of cardiovascular disease (CVD) among patients with chronic kidney disease (CKD) in the USA than in Japan. Hyperphosphatemia, a possible risk for CVD, may explain this difference; however, international differences in phosphate parameters in CKD have not been well elaborated. <b><i>Methods:</i></b> By using the baseline data from the USA and the Japanese nation-wide, multicenter, CKD cohort studies; the Chronic Renal Insufficiency Cohort Study (CRIC, <i>N</i> = 3,870) and the Chronic Kidney Disease-Japan Cohort Study (CKD-JAC, <i>N</i> = 2,632), we harmonized the measures and compared clinical parameters regarding phosphate metabolism or serum phosphate, fibroblast growth factor-23 (FGF23), and parathyroid hormone (PTH), in the cross-sectional model. <b><i>Results:</i></b> Multivariable linear regression analyses revealed that serum phosphate levels were significantly higher in CRIC across all levels of estimated glomerular filtration rate (eGFR) with the greatest difference being observed at lower levels of eGFR. Serum FGF23 and 25-hydroxy vitamin D (25OHD) levels were higher in CRIC, while PTH levels were higher in CKD-JAC at all levels of eGFR. Adjustments for demographics, 25OHD, medications, dietary intake or urinary excretion of phosphate, PTH, and FGF23 did not eliminate the difference in serum phosphate levels between the cohorts (0.43, 0.46, 0.54, 0.64, and 0.78 mg/dL higher in CRIC within eGFR strata of &gt;50, 41–50, 31–40, 21–30, and ≤20 mL/min/1.73 m<sup>2</sup>, respectively). These findings were consistent when only Asian CRIC participants (<i>N</i> = 105) were included in the analysis. <b><i>Conclusion:</i></b> Serum phosphate levels in CRIC were significantly higher than those of CKD-JAC across all stages of CKD, which may shed light on the international variations in phosphate parameters and thus in cardiovascular risk among CKD patients. The key mechanisms for the substantial differences in phosphate parameters need to be elucidated.
DOI: 10.34740/kaggle/dsv/3238376
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6303450
title: Artificial Intelligence for quality control in manufacturing operations: Micro-mechanical milling in the Pilot Line GAMHE 5.0

description: Quality is defined as the extent to which a product conforms to the design specifications and how it complies with the requirements of component functionality. For some industries, such as automotive and aeronautical, the quality of of manufactured parts is very important due to the high requirements. However, difficulties arise from the fact that a measure of quality can only be evaluated ‘‘out-of-process”, resulting in losses because there is no alternative to removing defective parts from the production line. Therefore, it is necessary to incorporate AI-based kits/solutions that provide in-process estimation to predict quality from some measured variables. The main goal of these datasets is to enable monitoring of final quality of the manufactured components or parts by estimating surface roughness from vibration signals and cutting parameters information. Surface roughness is an essential feature in quality control defined by the deviation in the direction of the normal vector of a real surface from its ideal form. Because the roughness measurement is an offline and post process procedure, being able to estimate this value online brings a series of benefits in terms of time and cost reduction in manufacturing lines, energy efficiency, unnecessary wear of tools and machines, etc. Once a part has been detected with a surface quality below what is desired, a series of corrective measures can be applied for the following operations, such as: reducing the feed rate percentage, increasing the percentage of spindle speed or reducing the axial depth per pass, etc. Workstation 4 (WS4) of the GAMHE 5.0 pilot line is a Kern Evo high-precision machining centre, with a maximum spindle speed of 50 000 rpm and Blum laser system and is used to run micro-milling and micro-drilling operations. In this experimental dataset, five cutting parameters were considered in the processes: spindle speed, <em>n</em>; feed rate, <em>f</em>; and axial depth of cut, <em>a<sub>P</sub></em>. The radial depth of cut, <em>a<sub>e</sub></em>; was equal to the mill tool radius, <em>r</em>, in all of the slots. These experiments were micro-milling operations with 0.3 mm, 0.5 mm, 0.8 mm and 1 mm-diameter mills on a sintered tungsten-copper alloy (W78Cu22). The data collected for each micro milling operation was the rms and peak value of the vibrations in the three-machine axis. In addition, five cutting parameters were also collected: position in <em>X</em> of the last point of the sample, feed rate, spindle speed, tool radius and axial depth.
DOI: 10.5281/zenodo.6303449
title: Artificial Intelligence for quality control in manufacturing operations: Micro-mechanical milling in the Pilot Line GAMHE 5.0

description: Quality is defined as the extent to which a product conforms to the design specifications and how it complies with the requirements of component functionality. For some industries, such as automotive and aeronautical, the quality of of manufactured parts is very important due to the high requirements. However, difficulties arise from the fact that a measure of quality can only be evaluated ‘‘out-of-process”, resulting in losses because there is no alternative to removing defective parts from the production line. Therefore, it is necessary to incorporate AI-based kits/solutions that provide in-process estimation to predict quality from some measured variables. The main goal of these datasets is to enable monitoring of final quality of the manufactured components or parts by estimating surface roughness from vibration signals and cutting parameters information. Surface roughness is an essential feature in quality control defined by the deviation in the direction of the normal vector of a real surface from its ideal form. Because the roughness measurement is an offline and post process procedure, being able to estimate this value online brings a series of benefits in terms of time and cost reduction in manufacturing lines, energy efficiency, unnecessary wear of tools and machines, etc. Once a part has been detected with a surface quality below what is desired, a series of corrective measures can be applied for the following operations, such as: reducing the feed rate percentage, increasing the percentage of spindle speed or reducing the axial depth per pass, etc. Workstation 4 (WS4) of the GAMHE 5.0 pilot line is a Kern Evo high-precision machining centre, with a maximum spindle speed of 50 000 rpm and Blum laser system and is used to run micro-milling and micro-drilling operations. In this experimental dataset, five cutting parameters were considered in the processes: spindle speed, <em>n</em>; feed rate, <em>f</em>; and axial depth of cut, <em>a<sub>P</sub></em>. The radial depth of cut, <em>a<sub>e</sub></em>; was equal to the mill tool radius, <em>r</em>, in all of the slots. These experiments were micro-milling operations with 0.3 mm, 0.5 mm, 0.8 mm and 1 mm-diameter mills on a sintered tungsten-copper alloy (W78Cu22). The data collected for each micro milling operation was the rms and peak value of the vibrations in the three-machine axis. In addition, five cutting parameters were also collected: position in <em>X</em> of the last point of the sample, feed rate, spindle speed, tool radius and axial depth.
DOI: 10.48370/ofd/oie0px
title: Hygrocybe coccinea (Schaeff.: Fr.) P.Kumm., 2086

description: Fungarium Macromycetes
DOI: 10.48370/ofd/gs38bi/fxdqnz
title: Ponurek Schneidera (Boros schneideri)3.JPG

description: :unav
DOI: 10.48370/ofd/gs38bi
title: Ponurek Schneidera (Boros schneideri (Panzer, 1796)), C-380

description: Coleoptera collection
DOI: 10.25625/6gsjse/zeglal
title: 20220131-MSc-Decker.pdf

description: :unav
DOI: 10.6084/m9.figshare.19248527
title: Dataset "Initial oak regeneration responses to experimental warming along microclimatic and macroclimatic gradients"

description: Dataset for the paper "Initial oak regeneration responses to experimental warming along microclimatic and macroclimatic gradients" published in Plant Biology.<br>
DOI: 10.6084/m9.figshare.19248527.v1
title: Dataset "Initial oak regeneration responses to experimental warming along microclimatic and macroclimatic gradients"

description: Dataset for the paper "Initial oak regeneration responses to experimental warming along microclimatic and macroclimatic gradients" published in Plant Biology.<br>
DOI: 10.5281/zenodo.6277081
title: Street Spectra individual classifications

description: CSV file containing individual classifications for subjects data and metadata.
DOI: 10.5281/zenodo.6277079
title: Street Spectra aggregated classifications

description: CSV file containing aggregated classifications for light sources data and metadata.
DOI: 10.5281/zenodo.6277080
title: Street Spectra individual classifications

description: CSV file containing individual classifications for subjects data and metadata.
DOI: 10.5281/zenodo.6277078
title: Street Spectra aggregated classifications

description: CSV file containing aggregated classifications for light sources data and metadata.
DOI: 10.48370/ofd/ls8lwn/lw2k0l
title: Rozmiazg płaski (Pytho depressus).JPG

description: :unav
DOI: 10.48370/ofd/ls8lwn
title: Rozmiazg płaski (Pytho depressus (Linnaeus, 1767)), C-381

description: Coleoptera collection
DOI: 10.5281/zenodo.6303481
title: Replication Package for "Trust Enhancement Issues in Program Repair"

description: This is the replication artifact for our work on "Trust Enhancement Issues in Program Repair". The corresponding paper has been published at the International Conference of Software Engineering (ICSE) 2022, and is available under the following URL: https://doi.org/10.1145/3510003.3510040. A pre-print of our work is available on arXiv: https://arxiv.org/pdf/2108.13064.pdf. The artifacts is organized in two parts: the artifacts for our <strong>developer survey</strong>, and the artifacts for our <strong>empirical assessment</strong> of state-of-the-art automated program repair (APR) techniques. <strong>1. Survey Artifacts</strong> The <code>survey</code> folder includes: <code>Survey_Form.pdf</code> -- It shows the PDF version of the web form of our survey. <code>Study_Results.pdf</code> -- It shows a summary of the questions and responses. <code>Codebooks.xlsx</code> -- It shows all created codebooks. <code>CodedResults.xlsx</code> -- It shows the responses for all questions, the corresponding coding, and statistics we applied during our analysis. Additionally, it includes plots for all responses and also the plots that are included in our paper. <strong>2. Experiment Artifacts</strong> The <code>experiments</code> folder includes: <code>tools.md</code> -- It lists and describes the APR techniques that we used in our experiments. <code>Results.xlsx</code> -- Contains the results of the experiments for each tool we considered, configuration details, and all the data from the ManyBugs benchmark. <code>protocols/</code> -- This folder includes the analysis protocols, which describe for each tool "how" we extracted the values for our evaluation metrics (see Table 3 in our paper). <code>results/</code> -- Contains the log files and relevant outputs for all tools and configurations. In particular, it includes the generated patches. <code>subjects/</code> -- Contains the subjects taken from the ManyBugs benchmark. For our experiments, we made some changes to the instrumentations, test-ids, etc. The file <code>meta-data.json</code> states the configurations, relevant test cases, etc. <code>tool-snapshots/</code> -- Contains the snapshots for the tools, which we used in our evaluation.
DOI: 10.5281/zenodo.5376903
title: Replication Package for "Trust Enhancement Issues in Program Repair"

description: This is the replication artifact for our work on "Trust Enhancement Issues in Program Repair". The corresponding paper has been published at the International Conference of Software Engineering (ICSE) 2022, and is available under the following URL: https://doi.org/10.1145/3510003.3510040. A pre-print of our work is available on arXiv: https://arxiv.org/pdf/2108.13064.pdf. The artifacts is organized in two parts: the artifacts for our <strong>developer survey</strong>, and the artifacts for our <strong>empirical assessment</strong> of state-of-the-art automated program repair (APR) techniques. <strong>1. Survey Artifacts</strong> The <code>survey</code> folder includes: <code>Survey_Form.pdf</code> -- It shows the PDF version of the web form of our survey. <code>Study_Results.pdf</code> -- It shows a summary of the questions and responses. <code>Codebooks.xlsx</code> -- It shows all created codebooks. <code>CodedResults.xlsx</code> -- It shows the responses for all questions, the corresponding coding, and statistics we applied during our analysis. Additionally, it includes plots for all responses and also the plots that are included in our paper. <strong>2. Experiment Artifacts</strong> The <code>experiments</code> folder includes: <code>tools.md</code> -- It lists and describes the APR techniques that we used in our experiments. <code>Results.xlsx</code> -- Contains the results of the experiments for each tool we considered, configuration details, and all the data from the ManyBugs benchmark. <code>protocols/</code> -- This folder includes the analysis protocols, which describe for each tool "how" we extracted the values for our evaluation metrics (see Table 3 in our paper). <code>results/</code> -- Contains the log files and relevant outputs for all tools and configurations. In particular, it includes the generated patches. <code>subjects/</code> -- Contains the subjects taken from the ManyBugs benchmark. For our experiments, we made some changes to the instrumentations, test-ids, etc. The file <code>meta-data.json</code> states the configurations, relevant test cases, etc. <code>tool-snapshots/</code> -- Contains the snapshots for the tools, which we used in our evaluation.
DOI: 10.5285/feb1e0b5426d4f5c80f791909a3a2d37
title: High resolution Standardized Precipitation Evapotranspiration Index (SPEI) dataset for Central Asia

description: This dataset contains high-resolution (5 km) Standardized Precipitation Evaporation Index (SPEI-HR) drought data for Central Asia. There are forty-eight different SPEI time scales and the available period is from 1981 - 2018, the data was produced using Climate Hazards group InfraRed Precipitation with Station’s (CHIRPS) precipitation dataset and Global Land Evaporation Amsterdam Model’s (GLEAM) potential evaporation dataset. The SPEI-HR dataset, over time and space, correlates fairly well with SPEI values estimated from coarse-resolution Climate Research Unit (CRU) dataset. Furthermore, the SPEI-HR dataset, for 6-month timescale, displayed a good correlation of 0.66 with GLEAM root zone soil moisture and a positive correlation of 0.26 with normalized difference vegetation index (NDVI) from Global Inventory Monitoring and Modelling System (GIMMS).
DOI: 10.48370/ofd/fadbyl/b8eh5f
title: Rozmiazg płaski (Pytho depressus)1.JPG

description: :unav
DOI: 10.48370/ofd/fadbyl
title: Rozmiazg płaski (Pytho depressus (Linnaeus, 1767)), C-382

description: Coleoptera collection
DOI: 10.21954/ou.rd.16832266
title: Oxia Planum ExoMars 2022 Rover Landing Site Mounds: Morphometric Data

description: Two files containing morphometric data on a population of kilometre-scale mounds in Oxia Planum, Mars – the landing site of the ExoMars 2022 Rover, 'Rosalind Franklin'.<br>Morphometric data is given in two files, one .xls and one .zip containing .shp files for use in GIS software.
DOI: 10.21954/ou.rd.16832266.v1
title: Oxia Planum ExoMars 2022 Rover Landing Site Mounds: Morphometric Data

description: Two files containing morphometric data on a population of kilometre-scale mounds in Oxia Planum, Mars – the landing site of the ExoMars 2022 Rover, 'Rosalind Franklin'.<br>Morphometric data is given in two files, one .xls and one .zip containing .shp files for use in GIS software.
DOI: 10.48370/ofd/hfhaqf
title: Pseudohydnum gelatinosum (Scop.: Fr.) P. Karst., 1578

description: Fungarium Makromycetes