cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/nxjk6w
title: Apodemus flavicollis - 125777, Zoological collection of the Mammal Research Institute, PAS

description: Apodemus flavicollis (Yellow-necked mouse) from Zoological collection of the Mammal Research Institute, PAS. Collected 1977-10-06, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/q2xapz
title: Apodemus flavicollis - 46546, Zoological collection of the Mammal Research Institute, PAS

description: Apodemus flavicollis (Yellow-necked mouse) from Zoological collection of the Mammal Research Institute, PAS. Collected 1965-09-30, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/l1b3k4
title: Apodemus flavicollis - 110316, Zoological collection of the Mammal Research Institute, PAS

description: Apodemus flavicollis (Yellow-necked mouse) from Zoological collection of the Mammal Research Institute, PAS. Collected 1973-07-13, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/sejcbz
title: Apodemus flavicollis - 128448, Zoological collection of the Mammal Research Institute, PAS

description: Apodemus flavicollis (Yellow-necked mouse) from Zoological collection of the Mammal Research Institute, PAS. Collected 1978-07-06, in: Białowieża National Park, Poland. Material type:
DOI: 10.6084/m9.figshare.19316048
title: A comparison of SARS-CoV-2 RNA extraction with the QuickGene-810 Nucleic Acid Isolation System compared to the EZ1 Advanced DSP Virus Kit

description: Supporting data for 'A comparison of SARS-CoV-2 RNA extraction with the QuickGene-810 Nucleic Acid Isolation System compared to the EZ1 Advanced DSP Virus Kit' as published in <em>Access Microbiology</em>.<br>
DOI: 10.6084/m9.figshare.19316048.v1
title: A comparison of SARS-CoV-2 RNA extraction with the QuickGene-810 Nucleic Acid Isolation System compared to the EZ1 Advanced DSP Virus Kit

description: Supporting data for 'A comparison of SARS-CoV-2 RNA extraction with the QuickGene-810 Nucleic Acid Isolation System compared to the EZ1 Advanced DSP Virus Kit' as published in <em>Access Microbiology</em>.<br>
DOI: 10.6084/m9.figshare.19885831
title: CYP2C19

description: This data includes the sequencing of the three SNP loci of the CYP2C19 gene
DOI: 10.6084/m9.figshare.19885831.v1
title: CYP2C19

description: This data includes the sequencing of the three SNP loci of the CYP2C19 gene
DOI: 10.5281/zenodo.6566821
title: Optimizing Continuous Integration by Dynamic Test Selection

description: Continuous integration (CI) is widely used in modern software engineering. However, it is an expensive practice. Some proposed approaches only focus on either intra- or inter-build cost reduction. In this paper, we propose an adaptive technique for dynamic test selection DTS, which combines intra- and inter-build cost reduction techniques. DTS uses build features to construct machine learning models to predict the probability of a specific build failure and transform the probability into the necessary test proportion, with respect to a selected test case prioritization technique. Based on the output of prediction model, it thus selects a prioritized test suite and a variable proportion of test cases with respect to a build. We constructed a large-scale dataset with approximately 115,000 builds, and conducted a controlled experiment using the dataset. The experiment shows that DTS outperforms existing techniques significantly. It detects 19.9% to 32.5% more failed test cases, compared with state-of-the-art techniques evaluated in the experiment. At the same time, DTS performs better than all three existing peer techniques on approximately 47% of projects. Moreover, the experiment also shows that our failure prediction model has an improvement of 0.15 in Area Under Curve (AUC), compared to prior machine learning models.
DOI: 10.5281/zenodo.6566820
title: Optimizing Continuous Integration by Dynamic Test Selection

description: Continuous integration (CI) is widely used in modern software engineering. However, it is an expensive practice. Some proposed approaches only focus on either intra- or inter-build cost reduction. In this paper, we propose an adaptive technique for dynamic test selection DTS, which combines intra- and inter-build cost reduction techniques. DTS uses build features to construct machine learning models to predict the probability of a specific build failure and transform the probability into the necessary test proportion, with respect to a selected test case prioritization technique. Based on the output of prediction model, it thus selects a prioritized test suite and a variable proportion of test cases with respect to a build. We constructed a large-scale dataset with approximately 115,000 builds, and conducted a controlled experiment using the dataset. The experiment shows that DTS outperforms existing techniques significantly. It detects 19.9% to 32.5% more failed test cases, compared with state-of-the-art techniques evaluated in the experiment. At the same time, DTS performs better than all three existing peer techniques on approximately 47% of projects. Moreover, the experiment also shows that our failure prediction model has an improvement of 0.15 in Area Under Curve (AUC), compared to prior machine learning models.
DOI: 10.5281/zenodo.6574546
title: Tone Discriminator Evolved on iCE40 FPGA

description: Data created by an experiment that evolved a tone discriminator on an iCE40 FPGA. The experiment was originally conducted by Adrian Thompson on an Xilinx XC6200 FPGA in 1997. This is the reproduction on a modern FPGA. The tone discriminator is a circuit on the FPGA that creates a 3.3 V output signal if presented with a 10 kHz square wave input and a 0 V output signal for a 1 kHz input signal. The circuit was evolved with a Genetic Algorithm and evaluated in three ways: Clamping: Iterative process to evaluate which cells in the circuit contribute dynamically to the output. A random cell is chosen a and its output set to a random constant value. Afterwards the fitness of the circuit is measured. If it decreases by less than 1 %, the cell is kept clamped, else reset to its original state. Temperature dependence: The FPGA with the circuit was cooled or heated to different temperatures and presented with different input frequencies. The output was averaged over 5 s. Location dependence: The circuit was moved to a different location o the FPGA. The Genetic Algorithm was then continued for additional 200 generations. This upload contains four groups of files: experiment.h5 All measurements and chromosomes from the original run of the Genetic Algorithm clamping.h5 All measurements of the clamping process temperature-XX.h5 All measurements for a different temperature XX is the temperature in degree Celsius new_location-X.h5 All measurements and chromosomes for the continued Genetic Algorithm at a new location on the FPGA X is the running number for hundred generations in the file, e.g. 2 contains generations 101 to 200 Errata: The timestamps for the temperature measurements are missing in all files but experiment.h5.
description: This work was supported by the German Federal Ministry of Education and Research (BMBF, 01IS18026B) by funding the competence center for Big Data and AI "ScaDS.AI Dresden/Leipzig".
DOI: 10.5281/zenodo.6574545
title: Tone Discriminator Evolved on iCE40 FPGA

description: Data created by an experiment that evolved a tone discriminator on an iCE40 FPGA. The experiment was originally conducted by Adrian Thompson on an Xilinx XC6200 FPGA in 1997. This is the reproduction on a modern FPGA. The tone discriminator is a circuit on the FPGA that creates a 3.3 V output signal if presented with a 10 kHz square wave input and a 0 V output signal for a 1 kHz input signal. The circuit was evolved with a Genetic Algorithm and evaluated in three ways: Clamping: Iterative process to evaluate which cells in the circuit contribute dynamically to the output. A random cell is chosen a and its output set to a random constant value. Afterwards the fitness of the circuit is measured. If it decreases by less than 1 %, the cell is kept clamped, else reset to its original state. Temperature dependence: The FPGA with the circuit was cooled or heated to different temperatures and presented with different input frequencies. The output was averaged over 5 s. Location dependence: The circuit was moved to a different location o the FPGA. The Genetic Algorithm was then continued for additional 200 generations. This upload contains four groups of files: experiment.h5 All measurements and chromosomes from the original run of the Genetic Algorithm clamping.h5 All measurements of the clamping process temperature-XX.h5 All measurements for a different temperature XX is the temperature in degree Celsius new_location-X.h5 All measurements and chromosomes for the continued Genetic Algorithm at a new location on the FPGA X is the running number for hundred generations in the file, e.g. 2 contains generations 101 to 200 Errata: The timestamps for the temperature measurements are missing in all files but experiment.h5.
description: This work was supported by the German Federal Ministry of Education and Research (BMBF, 01IS18026B) by funding the competence center for Big Data and AI "ScaDS.AI Dresden/Leipzig".
DOI: 10.5281/zenodo.3541055
title: metadata [IO Islamic 738] تاریخ طبری

description: <strong>Balʻamī, Abū ʻAlī Muḥammad ibn Muḥammad, fl. 946-973, Taʾrīkh-i Ṭabarī تاریخ طبری </strong> <strong>This manuscript is now IO Islamic 738 in the India Office collections at the British Library.</strong> <strong>[metadata: Carl Hermann Ethé, <em>Catalogue of Persian Manuscripts in the Library of the India Office</em>, volume 1, catalogue no. 3].</strong> The same [i.e. as IO Islamic 2669, catalogue no. 2] This excellent copy agrees upon the whole with the preceding one, beginning: سپاس و آفرین مر خدای را که کامگار کامگاران الخ The same chronological tables in the preface, but all except the first are left blank and not filled in. the first page is a little injured at the inner corner. The abridged continuation goes down, as in the preceding copy, to the accession of Alnâṣir-billâh, A.H. 575. [al-Nāṣir Li-Dīn Allāh]. No. 738, ff. 401, 11.29; very clear and equal Nasta’lik; size, 15 ½ in. by 9 ½ in. [<strong>ed note</strong>: Quick link to other copies of the <em>Taʾrīkh-i Ṭabarī</em>]
description: This upload provides the metadata in Libre office format.
DOI: 10.5281/zenodo.3541054
title: metadata [IO Islamic 738] تاریخ طبری

description: <strong>Balʻamī, Abū ʻAlī Muḥammad ibn Muḥammad, fl. 946-973, Taʾrīkh-i Ṭabarī تاریخ طبری </strong> <strong>This manuscript is now IO Islamic 738 in the India Office collections at the British Library.</strong> <strong>[metadata: Carl Hermann Ethé, <em>Catalogue of Persian Manuscripts in the Library of the India Office</em>, volume 1, catalogue no. 3].</strong> The same [i.e. as IO Islamic 2669, catalogue no. 2] This excellent copy agrees upon the whole with the preceding one, beginning: سپاس و آفرین مر خدای را که کامگار کامگاران الخ The same chronological tables in the preface, but all except the first are left blank and not filled in. the first page is a little injured at the inner corner. The abridged continuation goes down, as in the preceding copy, to the accession of Alnâṣir-billâh, A.H. 575. [al-Nāṣir Li-Dīn Allāh]. No. 738, ff. 401, 11.29; very clear and equal Nasta’lik; size, 15 ½ in. by 9 ½ in. [<strong>ed note</strong>: Quick link to other copies of the <em>Taʾrīkh-i Ṭabarī</em>]
description: This upload provides the metadata in Libre office format.
DOI: 10.5281/zenodo.6583429
title: TUTA Models

description: TUTA original pre-trained models
DOI: 10.5281/zenodo.6583428
title: TUTA Models

description: TUTA original pre-trained models
DOI: 10.6084/m9.figshare.19886638
title: SnowSurvey_Object1_SnowDepth_Density.cpg

description: This shapefile contains results of the field snow survey from the territory of LLP “North Kazakhstan Agricultural Experimental Station” located in the North Kazakhstan Region. <br> Snow thickness was measured with a metal ruler with a 1-mm scale and the density of snow was calculated with the use of the weight snow gauge VS-43M. The actual snow density (ρ) was calculated from the mass (m) of snow, the snow depth (SD) and the area of the VS-43М weight snow gauge cylinder (S).
DOI: 10.6084/m9.figshare.19886638.v1
title: SnowSurvey_Object1_SnowDepth_Density.cpg

description: This shapefile contains results of the field snow survey from the territory of LLP “North Kazakhstan Agricultural Experimental Station” located in the North Kazakhstan Region. <br> Snow thickness was measured with a metal ruler with a 1-mm scale and the density of snow was calculated with the use of the weight snow gauge VS-43M. The actual snow density (ρ) was calculated from the mass (m) of snow, the snow depth (SD) and the area of the VS-43М weight snow gauge cylinder (S).
DOI: 10.5281/zenodo.6205885
title: another copy of the first seven Parvas [IO Islamic 762] رزم نامه

description: <strong>[رزم نامه] Another copy of the <em>first seven</em> Parvas.</strong> <strong>This manuscript is now IO Islamic 762 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 1931 here with notations and hyperlinks]</strong>. Abû-alfaḍl’s preface on fol. 1a (in a rather incomplete or abridged form). Parva I, on fol. 5a; II, on fol. 101a; III, on fol. 121b; IV, on fol. 181a; V, on fol. 197a; VI, on fol. 229a; VII, on fol. 273a. The first six Parvas are copied in the sixteenth year of Muḥammadshâh’s reign (A.H. 1147=A.D. 1734, 1735), the first being dated the 19<sup>th</sup> Shawwâl, the second the 23<sup>rd</sup> of the same month, the third the 17<sup>th</sup> of Dhû-alka’dah, the fifth the 15<sup>th</sup> of Dhû-alḥijjah, the sixth the 27<sup>th</sup> of the same month (the fourth being without a special date); the seventh Parva is written in another hand in the twenty-fourth year of Muḥammadshâh’s reign (A. H. 1155=A.D. 1742). Worm-eaten throughout. No. 762 ff 384. 26 Shikasta, by two hands; size 10 5/8 in. by 5 ¾ in.
DOI: 10.5281/zenodo.6205884
title: another copy of the first seven Parvas [IO Islamic 762] رزم نامه

description: <strong>[رزم نامه] Another copy of the <em>first seven</em> Parvas.</strong> <strong>This manuscript is now IO Islamic 762 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 1931 here with notations and hyperlinks]</strong>. Abû-alfaḍl’s preface on fol. 1a (in a rather incomplete or abridged form). Parva I, on fol. 5a; II, on fol. 101a; III, on fol. 121b; IV, on fol. 181a; V, on fol. 197a; VI, on fol. 229a; VII, on fol. 273a. The first six Parvas are copied in the sixteenth year of Muḥammadshâh’s reign (A.H. 1147=A.D. 1734, 1735), the first being dated the 19<sup>th</sup> Shawwâl, the second the 23<sup>rd</sup> of the same month, the third the 17<sup>th</sup> of Dhû-alka’dah, the fifth the 15<sup>th</sup> of Dhû-alḥijjah, the sixth the 27<sup>th</sup> of the same month (the fourth being without a special date); the seventh Parva is written in another hand in the twenty-fourth year of Muḥammadshâh’s reign (A. H. 1155=A.D. 1742). Worm-eaten throughout. No. 762 ff 384. 26 Shikasta, by two hands; size 10 5/8 in. by 5 ¾ in.
DOI: 10.6084/m9.figshare.19886656
title: SnowSurvey_Object2_SnowDepth_Density

description: This shapefile contains results of the field snow survey from the territory of LLP “Naidorovskoe” located in Karagandy Region, Kazakhstan. <br> Snow thickness was measured with a metal ruler with a 1-mm scale and the density of snow was calculated with the use of the weight snow gauge VS-43M. The actual snow density (ρ) was calculated from the mass (m) of snow, the snow depth (SD) and the area of the VS-43М weight snow gauge cylinder (S).
DOI: 10.6084/m9.figshare.19886656.v1
title: SnowSurvey_Object2_SnowDepth_Density

description: This shapefile contains results of the field snow survey from the territory of LLP “Naidorovskoe” located in Karagandy Region, Kazakhstan. <br> Snow thickness was measured with a metal ruler with a 1-mm scale and the density of snow was calculated with the use of the weight snow gauge VS-43M. The actual snow density (ρ) was calculated from the mass (m) of snow, the snow depth (SD) and the area of the VS-43М weight snow gauge cylinder (S).
DOI: 10.6084/m9.figshare.19886809
title: SnowSurvey_Object3_SnowDepth_Density

description: This shapefile contains results of the field snow survey from the territory of LLP A.I. Barayev “Research and Production Center for Grain Farming” located in Aqmola Region, Kazakhstan. <br> Snow thickness was measured with a metal ruler with a 1-mm scale and the density of snow was calculated with the use of the weight snow gauge VS-43M. The actual snow density (ρ) was calculated from the mass (m) of snow, the snow depth (SD) and the area of the VS-43М weight snow gauge cylinder (S).
DOI: 10.6084/m9.figshare.19886809.v1
title: SnowSurvey_Object3_SnowDepth_Density

description: This shapefile contains results of the field snow survey from the territory of LLP A.I. Barayev “Research and Production Center for Grain Farming” located in Aqmola Region, Kazakhstan. <br> Snow thickness was measured with a metal ruler with a 1-mm scale and the density of snow was calculated with the use of the weight snow gauge VS-43M. The actual snow density (ρ) was calculated from the mass (m) of snow, the snow depth (SD) and the area of the VS-43М weight snow gauge cylinder (S).
DOI: 10.5281/zenodo.4613146
title: Computer Vision Values Dataset

description: This is a corpus of about 500 computer vision datasets, from which we sampled 114 dataset publications across different vision tasks and coded for themes through both structured and qualitative content analysis. This work most closely pairs with research question 1 in the genealogies of data project (https://arxiv.org/abs/2007.07399): How do dataset developers in CV and NLP research, describe and motivate the decisions that go into their creation?
DOI: 10.5281/zenodo.4613145
title: Computer Vision Values Dataset

description: This is a corpus of about 500 computer vision datasets, from which we sampled 114 dataset publications across different vision tasks and coded for themes through both structured and qualitative content analysis. This work most closely pairs with research question 1 in the genealogies of data project (https://arxiv.org/abs/2007.07399): How do dataset developers in CV and NLP research, describe and motivate the decisions that go into their creation?
DOI: 10.15129/1fdf4efb-8c0b-4d8c-8824-6c8471623522
title: Data for: "Electro-catalytic Enhancement of [Ru(bpy)3]2+ Electrochemiluminescence for Gemcitabine Detection Toward Precision Measurement via Gold Nanoparticle Addition"

description: Data set containing all data pertaining to the publication "Electro-catalytic Enhancement of [Ru(bpy)3]2+ Electrochemiluminescence for Gemcitabine Detection Toward Precision Measurement via Gold Nanoparticle Addition". This includes data for all cyclic voltammograms and Electrochemiluminescent signals obtained.
DOI: 10.6084/m9.figshare.11266013
title: Cell cycle markers and apoptotic proteins in oral tongue squamous cell carcinoma in young and elderly patients

description: Abstract The immunoexpression of p16, p53, and Bax in oral tongue squamous cell carcinoma (OTSCC) in young and elderly patients is assessed based on clinical and morphological parameters. The sample consists of 60 OTSCC cases: 30 in young (age ≤ 45 years) and 30 in elderly (age ≥ 60 years) patients. Clinical (tumor size, regional node metastasis, distant metastasis, and clinical stage) and morphological (histological grade of malignancy) parameters were evaluated. Immunohistochemical quantitative analysis was performed using anti-p16, anti-p53, and anti-Bax antibodies. None of the evaluated proteins exhibited statistically significant differences between young and elderly patients (p&gt;0.05). There was a significant association of p16 immunoexpression with clinical parameters in elderly patients. There were no associations of p53 and Bax with any of the clinico-morphological parameters. Correlations between p16 and Bax and between p53 and Bax immunoexpression were observed in young patients (r = 0.363; p = 0.048) and in elderly patients (r = 0.433; p = 0.017), respectively. In conclusion, the assessed proteins could not be used to determine differences in the biological behavior of OTSCC between young and elderly patients. Therefore, all proteins activated the pro-apoptotic pathway of OTSCC in both groups.
DOI: 10.6084/m9.figshare.11266013.v1
title: Cell cycle markers and apoptotic proteins in oral tongue squamous cell carcinoma in young and elderly patients

description: Abstract The immunoexpression of p16, p53, and Bax in oral tongue squamous cell carcinoma (OTSCC) in young and elderly patients is assessed based on clinical and morphological parameters. The sample consists of 60 OTSCC cases: 30 in young (age ≤ 45 years) and 30 in elderly (age ≥ 60 years) patients. Clinical (tumor size, regional node metastasis, distant metastasis, and clinical stage) and morphological (histological grade of malignancy) parameters were evaluated. Immunohistochemical quantitative analysis was performed using anti-p16, anti-p53, and anti-Bax antibodies. None of the evaluated proteins exhibited statistically significant differences between young and elderly patients (p&gt;0.05). There was a significant association of p16 immunoexpression with clinical parameters in elderly patients. There were no associations of p53 and Bax with any of the clinico-morphological parameters. Correlations between p16 and Bax and between p53 and Bax immunoexpression were observed in young patients (r = 0.363; p = 0.048) and in elderly patients (r = 0.433; p = 0.017), respectively. In conclusion, the assessed proteins could not be used to determine differences in the biological behavior of OTSCC between young and elderly patients. Therefore, all proteins activated the pro-apoptotic pathway of OTSCC in both groups.
DOI: 10.6084/m9.figshare.14288885
title: THORACOLUMBAR BURST FRACTURE: STRUCTURAL CHANGES AND CLINICAL OUTCOME OF TREATMENT

description: ABSTRACT Objective: To evaluate the correlation between structural changes in burst fractures of thoracic and lumbar spine with clinical outcome of the treatment. Methods: A retrospective study in 25 patients with fractures of thoracic and lumbar spine burst fractures without neurological deficit. Eleven patients underwent conservative treatment and for the remaining the treatment was surgical. All patients were followed up for at least 24 months. The cases were evaluated by a protocol that included: posttraumatic measurement of kyphosis, vertebral body collapse and narrowing of the spinal canal, the visual analog scale of pain, and the quality of life questionnaire SF-36 at the follow-up. For statistical analysis, the significance level was 5% and the software SPSS 18.0 was used. Results: No statistically significant difference was observed when comparing the clinical outcomes of one treatment over another. Similarly, there was no statistically significant correlation between kyphosis and post-traumatic narrowing of the spinal canal with clinical worsening in the follow-up, regardless of the treatment used. We found a positive correlation (p&lt;0.05) between initial collapse and SF-36 domains in both groups (operated and non-operated). Conclusion: There was no significant superiority of one treatment over the other, and no correlation was found between kyphosis and spinal canal narrowing in burst fractures of the thoracic and lumbar spine without neurological deficit. However, there was correlation between initial collapse and clinical outcome in some domains of the SF-36 questionnaire.