cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48668/zgbzmy/8dsuab
title: Data of anthropometric variables, physical behavior, and biomarkers.tab

description: :unav
DOI: 10.48668/zgbzmy
title: Moderate-vigorous physical activity attenuates premature senescence of immune cells in sedentary adults with obesity: a pilot randomized controlled trial

description: Data for responses of behaviors and biomarkers and their correlations in sedentary adults under physical activity intervention.
DOI: 10.24378/exe.3923
title: Observations about utilitarian coherence in the avian compass (dataset)

description: This is the dataset used for the Smith et al. (2022) article "Observations about utilitarian coherence in the avian compass" published in Scientific Reports.
description: This collection comprises the spin correlation tensors (SCTs) for flavin, tryptophan (w) and tyrosine (y) radicals for several applied magnetic fields. The data are collected in individual archives; the file name specifies the radical (flavin, w, or y) and the magnetic field intensity (50 uT, 1 mT or 5 mT). Each archive contains a detailed description of the simulation parameters in the form of a txt-file (parsable as json-file) and 5121 dat-files containing the SCTs for different magnetic field directions as specified in the accompanying txt-file.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/131935
DOI: 10.15159/phytop.93
title: Small lakes 2000

description: Methods of phytoplankton processing. Samples were preserved with Lugol’s (acidified iodine) solution and processed using the Utermöhl (1958) method. Phytoplankton biomass was calculated from counts of cells or colonies using a Nikon Eclipse Ti-S inverted microscope at x200 and x400 magnification. Preserved sample (3 ml) was settled overnight. Identification and measurements took place in the course of counting. Counting units are independent (single) algal cells, colonies or filaments/trichomes. Biovolumes of algal cells, colonies and/or filaments were calculated using assigned geometric shapes dimensions, and converted to biomass assuming the specific density of 1 g cm-3 in accordance with Edler (1979). References of methods accepted Approved by CEN on 14 July 2006 “Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” (CEN 15204, 2006) European Standard EN 15204:2006 Edler, L. (ed.) 1979. Recommendations on methods for marine biological studies in the Baltic Sea. Phytoplankton and chlorophyll. – BMB WG 9. Utermöhl, H., (1958). Zur Vervollkommnung der quantitativen Phytoplankton-Methodik. Mitteilungen der Internationale Vereinigung für Theoretische und Angewandte Limnologie 9: 1-38. Biovolume calculation for pelagic and benthic microalgae | Request PDF. Available from: https://www.researchgate.net/publication/220031275_Biovolume_calculation_for_pelagic_and_benthic_microalgae [accessed Oct 29 2018]. The most commonly used traditional biomass estimate for microalgae is cell biovolume, which is calculated from microscopically measured linear dimensions (Steinman et al. 1991, Snoeijs 1994, Sommer 1994, 1995, Hillebrand and Sommer 1997). Huber-Pestalozzi, G., Komarek, J., Fott, B. 1983. Das Phytoplankton des Süsswassers. 7(1). Chlorophyceae. Chlorococcales. Stuttgart. 1044. S. Komarek, J., Anagnostidis, K. 1999. Süsswasserflora von Mitteleuropa. 19/1. Cyanoprocaryota. 1. Chroococcales. Elsevier Spectrum Academischer Verlag. Heidelberg. Berlin. 548 S. Komarek, J., Anagnostidis, K. 2005. Süsswasserflora von Mitteleuropa. 19/2. Cyanoprocaryota. 2. Oscillatoriales. Elsevier Spectrum Academischer Verlag. 759 S. Komárek, J., 2013. Cyanoprokaryota 3. Teil: Heterocystous Genera. Süsswasserflora von Mitteleuropa. B. 19/3. Springer Spektrum. 1130 S. Krammer, K., Lange-Bertalot, H. 1997-1991. Süsswasserflora von Mitteleuropa. Bacillariophyceae. B. 2, 1-4. Spectrum Academischer Verlag.Heidelberg. Berlin. Popovský, J., Pfiester, L.A. 2008. Dinophyceae (Dinoflagellida). Süsswasserflora von Mitteleuropa. B. 6. Springer Spektrum. 272 S. Косинская Е.К. 1960. Флора споровых растений СССР. Том 5. Конъюгаты и Сцеплянки. (2). Изд. АН СССР. Москва-Ленинград. 706 стр. In Russian.
DOI: 10.6084/m9.figshare.21805239.v1
title: DATA.xlsx

description: Stomach contents dataset (raw data) used for the manuscript entitled "Biological invasion of a semi-aquatic vertebrate involves wide-scale predation across the water-land interface of ponds" and authored by Fabien Pille, Laura Pinto and Mathieu Denoël from the Laboratory of Ecology and Conservation of Amphibians (LECA), Freshwater and OCeanic science Unit of reSearch (FOCUS), University of Liège, Liège, Belgium
DOI: 10.6084/m9.figshare.21805239
title: DATA.xlsx

description: Stomach contents dataset (raw data) used for the manuscript entitled "Biological invasion of a semi-aquatic vertebrate involves wide-scale predation across the water-land interface of ponds" and authored by Fabien Pille, Laura Pinto and Mathieu Denoël from the Laboratory of Ecology and Conservation of Amphibians (LECA), Freshwater and OCeanic science Unit of reSearch (FOCUS), University of Liège, Liège, Belgium
DOI: 10.34740/kaggle/dsv/4806420
title: AutoXGB
DOI: 10.20372/eiar-rdm/mtlksh/as943x
title: 142887-Article Text-379725-1-10-20160826.pdf

description: :unav
DOI: 10.20372/eiar-rdm/mtlksh
title: Combining Ability and Heterotic Relationships between CIMMYT and Ethiopian Maize Inbred Lines

description: Knowledge of combining ability and heterotic relation of exotic inbred lines with the locally available ones would be helpful for efficient breeding program. The objectives of the current study were to estimate: (i) combining ability effects between Ethiopian and CIMMYT (International Centre for Maize and Wheat Improvement) maize inbred lines and (ii) possible heterotic relationships between the two sources of inbred lines. Forty-two crosses were produced using North Carolina Design II mating scheme by crossing six Ethiopian with seven CIMMYT inbred lines. Combined analyses over three locations showed significant differences among the hybrids for all the studied traits. Both general (GCA) and specific (SCA) effects were significant for most traits, indicating the importance of both additive and non-additive effects for these traits. Female parents E2 and E4 showed significant and positive GCA effects for grain yield. Other female lines that showed desirable GCA effects were E1 for ear height, E2 for days to anthesis, ear and plant heights and E5 for days to anthesis and silkng. Among male parents, C1 was the best general combiner for all agronomic traits, but not for grain yield. Inbred lines C2 and C6 were good general combiners for plant height and days to silking, respectively. Hybrids E4 x C2 and E5 x C3 showed superior SCA effects for grain yield while few other combinations showed desirable SCA effects for days to anthesis, ear and plant heights. The results of this study indicated potential heterotic relationships between CIMMYT and Ethiopian inbred lines for use in hybrid and synthetic development and introgression of germplasm.
DOI: 10.15159/phytop.94
title: Small lakes 2001

description: Methods of phytoplankton processing. Samples were preserved with Lugol’s (acidified iodine) solution and processed using the Utermöhl (1958) method. Phytoplankton biomass was calculated from counts of cells or colonies using a Nikon Eclipse Ti-S inverted microscope at x200 and x400 magnification. Preserved sample (3 ml) was settled overnight. Identification and measurements took place in the course of counting. Counting units are independent (single) algal cells, colonies or filaments/trichomes. Biovolumes of algal cells, colonies and/or filaments were calculated using assigned geometric shapes dimensions, and converted to biomass assuming the specific density of 1 g cm-3 in accordance with Edler (1979). References of methods accepted Approved by CEN on 14 July 2006 “Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” (CEN 15204, 2006) European Standard EN 15204:2006 Edler, L. (ed.) 1979. Recommendations on methods for marine biological studies in the Baltic Sea. Phytoplankton and chlorophyll. – BMB WG 9. Utermöhl, H., (1958). Zur Vervollkommnung der quantitativen Phytoplankton-Methodik. Mitteilungen der Internationale Vereinigung für Theoretische und Angewandte Limnologie 9: 1-38. Biovolume calculation for pelagic and benthic microalgae | Request PDF. Available from: https://www.researchgate.net/publication/220031275_Biovolume_calculation_for_pelagic_and_benthic_microalgae [accessed Oct 29 2018]. The most commonly used traditional biomass estimate for microalgae is cell biovolume, which is calculated from microscopically measured linear dimensions (Steinman et al. 1991, Snoeijs 1994, Sommer 1994, 1995, Hillebrand and Sommer 1997). Huber-Pestalozzi, G., Komarek, J., Fott, B. 1983. Das Phytoplankton des Süsswassers. 7(1). Chlorophyceae. Chlorococcales. Stuttgart. 1044. S. Komarek, J., Anagnostidis, K. 1999. Süsswasserflora von Mitteleuropa. 19/1. Cyanoprocaryota. 1. Chroococcales. Elsevier Spectrum Academischer Verlag. Heidelberg. Berlin. 548 S. Komarek, J., Anagnostidis, K. 2005. Süsswasserflora von Mitteleuropa. 19/2. Cyanoprocaryota. 2. Oscillatoriales. Elsevier Spectrum Academischer Verlag. 759 S. Komárek, J., 2013. Cyanoprokaryota 3. Teil: Heterocystous Genera. Süsswasserflora von Mitteleuropa. B. 19/3. Springer Spektrum. 1130 S. Krammer, K., Lange-Bertalot, H. 1997-1991. Süsswasserflora von Mitteleuropa. Bacillariophyceae. B. 2, 1-4. Spectrum Academischer Verlag.Heidelberg. Berlin. Popovský, J., Pfiester, L.A. 2008. Dinophyceae (Dinoflagellida). Süsswasserflora von Mitteleuropa. B. 6. Springer Spektrum. 272 S. Косинская Е.К. 1960. Флора споровых растений СССР. Том 5. Конъюгаты и Сцеплянки. (2). Изд. АН СССР. Москва-Ленинград. 706 стр. In Russian.
DOI: 10.5281/zenodo.6631385
title: LetterSampo CKCC data publication

description: <strong>LetterSampo CKCC Knowledge Graph</strong> The documentation of LetterSampo CKCC dataset is available on Linked Data Finland page and explained in more detail on the project page. This dataset is available on a public SPARQL endpoint (https://ldf.fi/ckcc/sparql).
DOI: 10.5281/zenodo.6631357
title: LetterSampo correspSearch data publication

description: <strong>LetterSampo correspSearch Knowledge Graph</strong> The documentation of LetterSampo correspSearch dataset is available on Linked Data Finland page and explained in more detail on the project page. This dataset is available on a public SPARQL endpoint (https://ldf.fi/corresp/sparql).
DOI: 10.5287/bodleian:ov8j62enk
title: An Artifact Evaluation of NDP, Dataset
DOI: 10.6073/pasta/bbb278091dee3c96972087b7dee3673c
title: Chlorophyll and phaeopigments measured from discrete bottle samples from CCE LTER process cruises in the California Current System, determined by extraction and bench fluorometry, 2006 - 2017 (ongoing).

description: Discrete bottle samples taken from various depths in the CCE region are filtered (known volumes) onto GF/F filters onboard the CCE Process cruises (since 2006, ongoing). The filters are placed into culture tubes containing 90% acetone, and the fluorescence of the samples is read on a fluorometer after 24 to 48 hours. The samples are then acidified to degrade the chlorophyll to phaeopigments (non-photosynthetic pigments) and a second reading is taken. The readings prior to and after acidification are used to calculate concentrations of both chlorophyll a and phaeopigments (i.e. phaeophytin).
DOI: 10.6084/m9.figshare.14816634.v1
title: CER Empiricism Assessment Dataset (2014 & 2015)

description: Dataset for paper "A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature" by Sarah Heckman (NC State University), Jeffrey C. Carver (University of Alabama), Mark Sherriff (University of Virginia), and Ahmed Al-Zubidy (University of Alabama).<br>The dataset contains the results of applying the CER Empiricism Assessment Rubric to 427 papers published at the SIGCSE Technical Symposium, ICER, ITiCSE, TOCE, and CSE in 2014 and 2015.
DOI: 10.17021/1179829
title: Comprehensive, Multi-Source Cyber-Security Events Data Set

description: This data set represents 58 consecutive days of de-identified event data collected from five sources within Los Alamos National Laboratory’s corporate, internal computer network. The data sources include Windows-based authentication events from both individual computers and centralized Active Directory domain controller servers; process start and stop events from individual Windows computers; Domain Name Service (DNS) lookups as collected on internal DNS servers; network flow data as collected on at several key router locations; and a set of well-defined red teaming events that present bad behavior within the 58 days. In total, the data set is approximately 12 gigabytes compressed across the five data elements and presents 1,648,275,307 events in total for 12,425 users, 17,684 computers, and 62,974 processes. Specific users that are well known system related (SYSTEM, Local Service) were not de-identified though any well-known administrators account were still de-identified. In the network flow data, well-known ports (e.g. 80, 443, etc) were not de-identified. All other users, computers, process, ports, times, and other details were de-identified as a unified set across all the data elements (e.g. U1 is the same U1 in all of the data). The specific timeframe used is not disclosed for security purposes. In addition, no data that allows association outside of LANL’s network is included. All data starts with a time epoch of 1 using a time resolution of 1 second. In the authentication data, failed authentication events are only included for users that had a successful authentication event somewhere within the data set.
DOI: 10.18112/openneuro.ds003751.v1.0.3
title: Dataset on Emotion with Naturalistic Stimuli (DENS)
DOI: 10.34740/kaggle/dsv/1576225
title: Bangla Newspaper Dataset
DOI: 10.5281/zenodo.1304454
title: NEMA image quality phantom acquisition on the Siemens mMR scanner

description: NEMA image quality (IQ) phantom data acquired on the Siemens Biograph mMR PET/MR scanner. 60 minutes of PET data were acquired. The list mode acquisition and associated files required for reconstruction are provided.
DOI: 10.5281/zenodo.240493
title: The CERDI-seadistance database V1.1

description: The database provides information on bilateral sea distances between any pair of countries; see Bertoli, S., M. Goujon, O. Santoni (2016), "The CERDI-seadistance database", CERDI Working Paper No. 2016/07 for a description of the methodology used to build the database. Paper available here : http://cerdi.org/production/show/id/1791/type_production_id/1 It's an update of the database published at the following adress : https://zenodo.org/record/46822 See <em>readme</em> file for details.
DOI: 10.5281/zenodo.3609789
title: REASSURE (H2020 731591) ECC Dataset

description: Datasets collection for ECC (C25519) side-channel traces, as part of REASSURE H2020 731591 project. The set “REASSURE_c25519_arithm_6k + PatternExtract From 5997 traces + StaticAlign.trs” contains electromagnetic traces coming from 5997 executions of Curve25519 $\mu$NaCl Montgomery Ladder scalar multiplication:<br> http://munacl.cryptojedi.org/curve25519-cortexm0.shtml<br> running on the Pi\~{n}ata target:<br> https://www.riscure.com/product/pinata-training-target/<br> which is a 32-bit STM32F4 microcontroller with an ARM-based architecture, running at the clock frequency of 168 MHz.<br> <br> The implementation employs arithmetic-based conditional swap and is additionally protected with projective coordinate re-randomization and scalar randomization.<br> Each trace from the dataset represent a single iteration of the Montgomery Ladder scalar multiplication that is cut from the whole execution trace; such trace is labeled with the corresponding cswap condition bit.<br> Observe that a full scalar can be trivially recovered from the cswap condition bits used in the 255 Montgomery Ladder iterations.<br> Furthermore, all these cut traces (5997*255=1529235) are aligned to exploit the leakage efficiently.<br> Details about the implementation and how the traces are aligned are in:<br> https://eprint.iacr.org/2016/923.pdf<br> <br> The set “REASSURE_c25519_arithm_6k + PatternExtract From 100 traces + StaticAlign.trs” contains a part of the 5997 set, but limited to the first 100 full traces.<br> <br> The set “REASSURE_c25519_arithm_6k_100 full traces.trs” contains the full 100 traces (before division).<br> <br> Each traces is in the TRS format that is described under the following links:<br> https://github.com/Riscure/python-trsfile<br> https://github.com/Riscure/java-trsfile<br> https://github.com/Riscure/Jlsca<br> <br> Moreover, note that each trs file include a short description inside the file itself.
description: Contact: chmielewski@riscure.com
DOI: 10.5281/zenodo.4273969
title: Neutron tomography data of high-purity metal rods using golden-ratio angular acquisition (IMAT, ISIS)

description: <strong>General description:</strong> This is a neutron tomography projection data set acquired at the IMAT beamline of the ISIS Neutron and Muon Source, Harwell, UK. It was acquired using a 512-by-512 pixel MCP time-of-flight detector (pixel size 0.055 mm) binned into 2332 energy intervals between 1.7Å and 5.5Å using a parallel-beam scan geometry. 186 projections, each with 30 min exposure time (20 micro A), in the golden-ratio angular acquisition-mode. That is, a constant angular increment of (sqrt(5)-1)/2*180 degrees = 111.2461 degrees was used, and if an angle was outside 0 to 180 it was wrapped to that interval. Data was preprocessed to compensate for distortions caused by detector electronics and then summed over energy bins to simulate a white-beam data set. The data has not been corrected for centre-of-rotation offset. This can be achieved for example by cropping 52 pixels off all images from the left. The sample was an Al cylinder (Ø 22mm) with cylindrical inset holes drilled from the top: A central 10mm hole (left empty) and 5 holes of 3mm in pentagon corner positions and 5 holes of 1mm in pentagon corner positions offset from the 3mm set. High-purity elemental Cu, Fe, Ni, Ti, and Zn were inserted in the 3mm and 1mm holes with a single 1mm hole left empty. <strong>File descriptions:</strong> The data consists of a single ZIP file with the following contents: 186 TIFF files - these are the individual projection images. golden_ratio_angles.txt - this text file lists the 186 angles in degrees at which the projections were acquired. scan_parameters.txt - this text file contains geometric metadata about the experimental scan configuration.
description: We gratefully acknowledge access to beamtime at the IMAT Beamline of the ISIS Neutron and Muon Source, Harwell Campus under experiment number RB1820541. The full beamtime data, from which the present data is prepared, is available at https://doi.org/10.5286/ISIS.E.100529645
description: {"references": ["J\u00f8rgensen, J. S. et al. (2019). Neutron TOF imaging phantom data to quantify hyperspectral reconstruction algorithms. Available from https://doi.org/10.5286/ISIS.E.100529645"]}
DOI: 10.5281/zenodo.4474932
title: Yannoulis Chalepas (Γιαννούλης Χαλεπάς), Angel (Άγγελος), 1875

description: A three-dimensional model of Angel, by Yannoulis Chalepas. Yannoulis Chalepas (Γιαννούλης Χαλεπάς), Angel (Άγγελος), 1875, 35x70x150 cm<sup>3</sup>, Bellu Cemetery (Șerban Vodă Cemetery) Bucharest, Romania. This dataset contains a textured 3D model of the marble sculpture "Angel", attributed to Yannoulis Chalepas. The 3D model is encoded as a mesh of 2368454 textured triangular faces and 1178631 vertices, stored in the Wavefront Technologies OBJ format. The texture is encoded in four 8192 x 8192 pixel<sup>2</sup> images. Two MP4 video files that render texture and non-textured visualizations of the model are also provided. Yannoulis Chalepas (Greek: Γιαννούλης Χαλεπάς, August 14, 1851 – September 15, 1938) was a Greek sculptor from the Island of Tinos, Greece, a significant figure of Modern Greek Art, and a practitioner of Tinian marble craftsmanship (Inscription 10.COM 10.b.17 in the UNESCO Representative List of the Intangible Cultural Heritage of Humanity, https://ich.unesco.org/en/RL/tinian-marble-craftsmanship-01103, https://ich.unesco.org/en/decisions/10.COM/10.B.17 ) <br> For any questions please contact Xenophon Zabulis at zabulis@ics.forth.gr <br>
DOI: 10.5281/zenodo.4716877
title: Hybrid Build and Test Selection Strategies in Continuous Integration

description: Data set for combining existing build and test selection approaches in a hybrid way.
DOI: 10.5281/zenodo.6373645
title: dairy_spatial_uwb_lying_behaviour

description: Data that belongs to the manuscript "Detecting dairy cows' lying behavior using noisy 3D ultra-wide band positioning data" by Adriaens, Ouweltjes, Pastell, Ellen, Kamphuis.
DOI: 10.5281/zenodo.6992403
title: Supplementary Data of "Introgression between highly divergent sea squirt genomes: an adaptive breakthrough?"

description: <strong>Datasets used in the analyses (see Table S5 for a detailed description).</strong> ► Dataset #1: phased SNPs with offspring.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle.vcf<br> ► Dataset #2: all SNPs with missing data.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_parents_oNA5.vcf<br> ► Dataset #3a: phased SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents.vcf<br> ► Dataset #3b: CDS version of “phased SNPs”.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents_SNP_CHRall.orf.cds<br> ► Dataset #3c: FASTA version of “phased SNPs”.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents_SNP_chr5.sub_${START}-${END}.fasta<br> ► Dataset #4: ancestry informative phased SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents.frq.fixed.vcf<br> ► Dataset #5: all SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_parents_oNA.vcf<br> ► Dataset #6: all polarized SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_parents_raw_refine_HQ_edwardsi_oNA3_polar.vcf<br> ► Dataset #7: unfiltered mapping files.<br> ciona_bwa-mapping_${IND}_bwa_mem_mdup_IR_chromosome5:700000-1500000_sorted_nodup.bam