cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18785699.v1
title: Datasets of productivity and vegetation composition of boreal stands from an experimental design comparing silviculture scenarios of increasing intensity after 20 years

description: Vegetation surveys were conducted in July 2009 in humid boreal stands from an experimental design comparing silviculture scenarios of increasing intensity: (i) careful logging around advance growth (CLAAG); (ii) CLAAG followed by pre-commercial thinning; (iii) plantation followed by mechanical release of crop trees using motor-manual brushsaws; and (iv) plantation followed by chemical release of crop trees using herbicide and within five naturally disturbed sites. The surveys comprise data about the density of snags and of living trees (defined as having a diameter at breast height (1.3 m), DBH ≥ 1.1 cm), dendrometric measurements (DBH, height and basal area) of conifer and deciduous species, percent cover of trees and high regeneration (defined as having a height ≥ 60 cm and a DBH &lt; 1cm), shrub (defined as having a height &lt; 60 cm), herbaceous species and various taxonomic groups (ferns, mosses, sphagnum, lichens, grasses and <i>Lycopodium L.</i>). Data of the ratio of intercepted light to full sunlight conditions averaged by plot, derived from Photosynthetic photon flux density (PPFD) readings, are also provided.<br>This dataset covers raw and analised data. The metadata and the process of cleaning data and calculation are provided in DataInBrief_CleaningData.Rmd.<br>More details in:Urli M., Thiffault N. and Chalifour D. (submit) Datasets of tree and stand productivity and vegetation composition of boreal stands from an experiment comparing silviculture scenarios of increasing intensity after 20 years. Data In Brief<br>
DOI: 10.6084/m9.figshare.19165160
title: Additional file 1 of Musculoskeletal healthcare at a Swiss university hospital chiropractic medicine outpatient clinic in 2019: a health services research study

description: Additional file 1: Data dictionary.
DOI: 10.6084/m9.figshare.19165160.v1
title: Additional file 1 of Musculoskeletal healthcare at a Swiss university hospital chiropractic medicine outpatient clinic in 2019: a health services research study

description: Additional file 1: Data dictionary.
DOI: 10.6084/m9.figshare.19165163
title: Additional file 2 of Musculoskeletal healthcare at a Swiss university hospital chiropractic medicine outpatient clinic in 2019: a health services research study

description: Additional file 2: Concept for ICD-10 codes grouping process.
DOI: 10.6084/m9.figshare.19165163.v1
title: Additional file 2 of Musculoskeletal healthcare at a Swiss university hospital chiropractic medicine outpatient clinic in 2019: a health services research study

description: Additional file 2: Concept for ICD-10 codes grouping process.
DOI: 10.6084/m9.figshare.19165199
title: Additional file 1 of Pango lineage designation and assignment using SARS-CoV-2 spike gene nucleotide sequences

description: Additional file 1.
DOI: 10.6084/m9.figshare.19165199.v1
title: Additional file 1 of Pango lineage designation and assignment using SARS-CoV-2 spike gene nucleotide sequences

description: Additional file 1.
DOI: 10.6084/m9.figshare.19165223
title: Additional file 1 of A validation study of potential prognostic DNA methylation biomarkers in patients with acute myeloid leukemia using a custom DNA methylation sequencing panel

description: Additional file 1. List of analyzed regions (positions according to hg19 assembly).
DOI: 10.6084/m9.figshare.19165223.v1
title: Additional file 1 of A validation study of potential prognostic DNA methylation biomarkers in patients with acute myeloid leukemia using a custom DNA methylation sequencing panel

description: Additional file 1. List of analyzed regions (positions according to hg19 assembly).
DOI: 10.6084/m9.figshare.18132939
title: Additional file 10 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 10. Detailed description of each novel sRNA locus identified in this work, including the sequence of the most abundant sRNA (“MajorRNA”) and the length distribution and originating strand of the reads within each locus.
DOI: 10.6084/m9.figshare.18132939.v1
title: Additional file 10 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 10. Detailed description of each novel sRNA locus identified in this work, including the sequence of the most abundant sRNA (“MajorRNA”) and the length distribution and originating strand of the reads within each locus.
DOI: 10.6084/m9.figshare.18132942
title: Additional file 11 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 11. CSV files of differentially expressed sRNAs between the different tissues, of the format x_vs_y.csv, indicating that log2 fold changes are calculated relative to y.
DOI: 10.6084/m9.figshare.18132942.v1
title: Additional file 11 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 11. CSV files of differentially expressed sRNAs between the different tissues, of the format x_vs_y.csv, indicating that log2 fold changes are calculated relative to y.
DOI: 10.6084/m9.figshare.18132951
title: Additional file 3 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 3: Supplementary Table 5. List of identified siren21 loci.
DOI: 10.6084/m9.figshare.18132951.v1
title: Additional file 3 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 3: Supplementary Table 5. List of identified siren21 loci.
DOI: 10.6084/m9.figshare.18132954
title: Additional file 4 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 4: Supplementary Table 6. List of potentially siRNA-regulated genes in the embryo.
DOI: 10.6084/m9.figshare.18132954.v1
title: Additional file 4 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 4: Supplementary Table 6. List of potentially siRNA-regulated genes in the embryo.
DOI: 10.6084/m9.figshare.18132957
title: Additional file 5 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 5: Supplementary Table 7. List of potentially siRNA-regulated genes in the endosperm.
DOI: 10.6084/m9.figshare.18132957.v1
title: Additional file 5 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 5: Supplementary Table 7. List of potentially siRNA-regulated genes in the endosperm.
DOI: 10.6084/m9.figshare.18132960
title: Additional file 6 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 6: Supplementary Table 8. Gene ontology enrichment analysis on siRNA targets in the embryo (Additional file 4). GO enrichment analysis was carried out with the Monocots PLAZA 4.5 workbench [35] in default mode. BP = biological process; CC = cellular compartment; MF = molecular function.
DOI: 10.6084/m9.figshare.18132960.v1
title: Additional file 6 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 6: Supplementary Table 8. Gene ontology enrichment analysis on siRNA targets in the embryo (Additional file 4). GO enrichment analysis was carried out with the Monocots PLAZA 4.5 workbench [35] in default mode. BP = biological process; CC = cellular compartment; MF = molecular function.
DOI: 10.6084/m9.figshare.18132963
title: Additional file 7 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 7: Supplementary Table 9. Potential siRNA24 regulators of diterpenoid biosynthesis in the embryo, as annotated in OryzaCyc (v. 7.0) [37].
DOI: 10.6084/m9.figshare.18132963.v1
title: Additional file 7 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 7: Supplementary Table 9. Potential siRNA24 regulators of diterpenoid biosynthesis in the embryo, as annotated in OryzaCyc (v. 7.0) [37].
DOI: 10.6084/m9.figshare.18132966
title: Additional file 8 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 8: Supplementary Table 10. Potential siRNA24 regulators of ethylene levels and response in embryo and endosperm, as annotated in MapMan (V3.6).
DOI: 10.6084/m9.figshare.18132966.v1
title: Additional file 8 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 8: Supplementary Table 10. Potential siRNA24 regulators of ethylene levels and response in embryo and endosperm, as annotated in MapMan (V3.6).
DOI: 10.6084/m9.figshare.18132969.v1
title: Additional file 9 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 9. Combined annotation file of the novel sRNAs identified with ShortStack (v. 3.8.5) and the identified tRNA-derived sRNAs (tsRNAs) in gff3 format.
DOI: 10.6084/m9.figshare.18132969
title: Additional file 9 of Spatiotemporal expression profile of novel and known small RNAs throughout rice plant development focussing on seed tissues

description: Additional file 9. Combined annotation file of the novel sRNAs identified with ShortStack (v. 3.8.5) and the identified tRNA-derived sRNAs (tsRNAs) in gff3 format.
DOI: 10.34740/kaggle/dsv/3175714
title: Sensor Based Aquaponics Fish Pond Datasets
DOI: 10.5281/zenodo.6054397
title: Table of Data originated from EV-ILVO for VIROPLANT project

description: Table of Data originated from EV-ILVO for VIROPLANT project
DOI: 10.5281/zenodo.6054396
title: Table of Data originated from EV-ILVO for VIROPLANT project

description: Table of Data originated from EV-ILVO for VIROPLANT project
DOI: 10.5517/ccdc.csd.cc2b024l
title: CCDC 2145018: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b05wf
title: CCDC 2145134: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b0b8z
title: CCDC 2145270: Experimental Crystal Structure Determination

description: Related Article: J. Hu, V.V. Nesterov, B.W. Smucker|2022|IUCrData|7|x220101|doi:10.1107/S2414314622001018
DOI: 10.5517/ccdc.csd.cc25mn1j
title: CCDC 2014877: Experimental Crystal Structure Determination

description: Related Article: Federica Bianchi, Fabio Fornari, Nicolò Riboni, Costanza Spadini, Clotilde Silvia Cabassi, Mattia Iannarelli, Claudia Carraro, Paolo Pio Mazzeo, Alessia Bacchi, Serena Orlandini, Sandra Furlanetto, Maria Careri|2021|Food Chem.|347|129051|doi:10.1016/j.foodchem.2021.129051
DOI: 10.25345/c5h58x
title: MassIVE MSV000088825 - GNPS - Dataset Creation from GNPS Molcular Networking - 3eb412ec41a149f6a53550db8814ebf9
title: Amoroso, VB, Mendez, RA, Junio, HA., Molino, RJEJ, Pescadero, IR., Villalobos, AP. Characterization of a Natural Fungicide from an Indigenous Plant Tasmannia piperita (Hook.f.) Miers Extract: Stability, Metabolomics, and In silico Studies. Philippine Journal of Science (2021). 150 (2): 355-370 Collaboration between Secondary Metabolites Profiling Laboratory (SMPL), Institute of Chemistry, UP Diliman, and Central Mindanao University.
DOI: 10.5281/zenodo.6054494
title: All Virus sequences originated for VIROPLANT by all partners and deposited in NCBI

description: All Virus sequences originated for VIROPLANT by all partners and deposited in NCBI
DOI: 10.5281/zenodo.6054493
title: All Virus sequences originated for VIROPLANT by all partners and deposited in NCBI

description: All Virus sequences originated for VIROPLANT by all partners and deposited in NCBI
DOI: 10.5281/zenodo.6054476
title: aaronkwc/MQuad_paper_reproduced_results: final_revision_v1.0.0

description: Code and jupyter notebooks used for the MQuad paper final revision.
DOI: 10.5281/zenodo.6054475
title: aaronkwc/MQuad_paper_reproduced_results: final_revision_v1.0.0

description: Code and jupyter notebooks used for the MQuad paper final revision.
DOI: 10.5281/zenodo.6054552
title: Sythetic datasets of road images

description: The detector of elongated boundaries in the image, such as road marking lines, rails, etc., is an important component of the visual system of a highly automated vehicle (HAV). It is used by HAV to solve self-localization problems, maintain the position inside the lane, warning about lane departure. Collecting and labeling data for solving these problems is always a time-consuming task.<br> We present two types of synthetic dataset of road images. The first type is aerial imagery dataset. It is intended to be used for road boundaries detector that works with bird's eye view road images. The second type of dataset is drawn road markings line on a black background. It is designed to optimize the parameters of elongated boundaries detectors that also works with bird's eye view road images but also first step of which is background suppression. Please note that not all parameters can be tuned but only those which affect steps followed by background suppression.<br> <br> There are 2 folders "aerial_imagery_dataset" and "drawn_road_markings_dataset", each corresponds of its own type of dataset. Each folder contains images and corresponding them markup in json files. Pair image and corresponded markup will be called sample. "aerial_imagery_dataset" consists of 5336 samples, "drawn_road_markings_dataset" consists of 660 samples.<br> Markup files contain information of road markings coordinates in the image.
DOI: 10.5281/zenodo.6054551
title: Sythetic datasets of road images

description: The detector of elongated boundaries in the image, such as road marking lines, rails, etc., is an important component of the visual system of a highly automated vehicle (HAV). It is used by HAV to solve self-localization problems, maintain the position inside the lane, warning about lane departure. Collecting and labeling data for solving these problems is always a time-consuming task.<br> We present two types of synthetic dataset of road images. The first type is aerial imagery dataset. It is intended to be used for road boundaries detector that works with bird's eye view road images. The second type of dataset is drawn road markings line on a black background. It is designed to optimize the parameters of elongated boundaries detectors that also works with bird's eye view road images but also first step of which is background suppression. Please note that not all parameters can be tuned but only those which affect steps followed by background suppression.<br> <br> There are 2 folders "aerial_imagery_dataset" and "drawn_road_markings_dataset", each corresponds of its own type of dataset. Each folder contains images and corresponding them markup in json files. Pair image and corresponded markup will be called sample. "aerial_imagery_dataset" consists of 5336 samples, "drawn_road_markings_dataset" consists of 660 samples.<br> Markup files contain information of road markings coordinates in the image.
DOI: 10.5281/zenodo.6054578
title: Table of NGS data originated for VIROPLANT from IPSP-CNR, UPM, LUKE beneficiaries for VIROPLANT

description: Table of NGS data originated for VIROPLANT from IPSP-CNR, UPM, LUKE beneficiaries for VIROPLANT
DOI: 10.5281/zenodo.6054577
title: Table of NGS data originated for VIROPLANT from IPSP-CNR, UPM, LUKE beneficiaries for VIROPLANT

description: Table of NGS data originated for VIROPLANT from IPSP-CNR, UPM, LUKE beneficiaries for VIROPLANT
DOI: 10.25345/c5cc60
title: MassIVE MSV000088826 - GNPS - Dataset Creation from GNPS Molcular Networking - 6a8c58a81fad4ab8ae5587b86d3e3070
title: Molino, RJEJ., Rellin, KFB, Nellas, RB., Junio, HA. Small in size, big on taste: Metabolomics analysis of flavor compounds from Philippine garlic. PLoS ONE (2021) 16(5): e0247289. https://doi.org/10.1371/journal.pone.0247289
DOI: 10.34740/kaggle/dsv/3175831
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.3886/e162321
title: Hyperbolic modeling of hypothetical health behavior during a viral outbreak

description: Unprocessed Qualtrics outputs from MTurk surveys conducted on decision-making during a hypothetical viral outbreak and other delay and discounting questions. IP addresses and geolocation have been removed. A csv that ends with "v1" or "v2" indicate changes in wording to the viral scenario to improve clarity.
DOI: 10.3886/e162321v1
title: Hyperbolic modeling of hypothetical health behavior during a viral outbreak

description: Unprocessed Qualtrics outputs from MTurk surveys conducted on decision-making during a hypothetical viral outbreak and other delay and discounting questions. IP addresses and geolocation have been removed. A csv that ends with "v1" or "v2" indicate changes in wording to the viral scenario to improve clarity.
DOI: 10.6084/m9.figshare.17041496
title: Data for Locomotor activity patterns of wild Natal mole-rats suggest entrainment of circadian activity to burrow temperatures

description: We utilized an RFID reader array (LID650/608, DorsetID, The Netherlands) to monitor mole-rat activity during winter (August - October 2020) and summer (February - April 2021). Mole-rats wree implanted with a subcutaneous transponder and released into their burrow. Animals were weighed, sexed, and assigned a reproductive class upon capture. The array was programed to scan continuously for transponder tags within range with a read delay of 3 seconds and save transponder codes with a time stamp. Thus, if an animal remained in the range of the panel for longer than 3 seconds, it would have multiple entries at 3-second intervals. The reader would then store the transponder code and the date and time. We assumed activity bouts lasted for 1 hour and animals were given an active score of 1 if a reading was detected on the array during a 60-minute period, and a score of 0 if not detected. An animal would not gain a further activity point until detected beyond the activity period. Individuals captured in the group but not recorded by the RFID reader array were assigned activity scores of zero.<br>Hourly air pressure, air temperature, soil temperature, and rainfall for winter 2020 and summer 2021 were obtained from the global atmospheric reanalysis dataset ERA5-Land which is freely available from the Copernicus Climate Change Service, which holds the intellectual property rights of the raw climate data. The results contain modified Copernicus Climate Change Service information. Soil temperatures in the dataset correspond to the depths of foraging tunnels and the nest of mole-rats. The change in hourly air pressure (ΔP) from hour 1 to hour 2 was calculated to determine whether changes in air pressure predicted activity. These data were then combined with the activity data to determine the environmental effects of daily and seasonal activity patterns.<br>
DOI: 10.6084/m9.figshare.17041496.v3
title: Data for Locomotor activity patterns of wild Natal mole-rats suggest entrainment of circadian activity to burrow temperatures

description: We utilized an RFID reader array (LID650/608, DorsetID, The Netherlands) to monitor mole-rat activity during winter (August - October 2020) and summer (February - April 2021). Mole-rats wree implanted with a subcutaneous transponder and released into their burrow. Animals were weighed, sexed, and assigned a reproductive class upon capture. The array was programed to scan continuously for transponder tags within range with a read delay of 3 seconds and save transponder codes with a time stamp. Thus, if an animal remained in the range of the panel for longer than 3 seconds, it would have multiple entries at 3-second intervals. The reader would then store the transponder code and the date and time. We assumed activity bouts lasted for 1 hour and animals were given an active score of 1 if a reading was detected on the array during a 60-minute period, and a score of 0 if not detected. An animal would not gain a further activity point until detected beyond the activity period. Individuals captured in the group but not recorded by the RFID reader array were assigned activity scores of zero.<br>Hourly air pressure, air temperature, soil temperature, and rainfall for winter 2020 and summer 2021 were obtained from the global atmospheric reanalysis dataset ERA5-Land which is freely available from the Copernicus Climate Change Service, which holds the intellectual property rights of the raw climate data. The results contain modified Copernicus Climate Change Service information. Soil temperatures in the dataset correspond to the depths of foraging tunnels and the nest of mole-rats. The change in hourly air pressure (ΔP) from hour 1 to hour 2 was calculated to determine whether changes in air pressure predicted activity. These data were then combined with the activity data to determine the environmental effects of daily and seasonal activity patterns.<br>
DOI: 10.6084/m9.figshare.17041496.v2
title: Data for Locomotor activity patterns of wild Natal mole-rats suggest entrainment of circadian activity to burrow temperatures

description: We utilized an RFID reader array (LID650/608, DorsetID, The Netherlands) to monitor mole-rat activity during winter (August - October 2020) and summer (February - April 2021). Mole-rats wree implanted with a subcutaneous transponder and released into their burrow. Animals were weighed, sexed, and assigned a reproductive class upon capture. The array was programed to scan continuously for transponder tags within range with a read delay of 3 seconds and save transponder codes with a time stamp. Thus, if an animal remained in the range of the panel for longer than 3 seconds, it would have multiple entries at 3-second intervals. The reader would then store the transponder code and the date and time. We assumed activity bouts lasted for 1 hour and animals were given an active score of 1 if a reading was detected on the array during a 60-minute period, and a score of 0 if not detected. An animal would not gain a further activity point until detected beyond the activity period. Individuals captured in the group but not recorded by the RFID reader array were assigned activity scores of zero.<br>Hourly air pressure, air temperature, soil temperature, and rainfall for winter 2020 and summer 2021 were obtained from the global atmospheric reanalysis dataset ERA5-Land which is freely available from the Copernicus Climate Change Service, which holds the intellectual property rights of the raw climate data. The results contain modified Copernicus Climate Change Service information. Soil temperatures in the dataset correspond to the depths of foraging tunnels and the nest of mole-rats. The change in hourly air pressure (ΔP) from hour 1 to hour 2 was calculated to determine whether changes in air pressure predicted activity. These data were then combined with the activity data to determine the environmental effects of daily and seasonal activity patterns.<br>