cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3516723
title: Characterization of p53 family homologs in evolutionary remote branches of Holozoa

description: Supplementary materials to article: Characterization of p53 family homologs in evolutionary remote branches of Holozoa The p53 family of transcription factors plays key roles in development, genome stability, senescence and tumor development, and p53 is the most important tumor suppressor protein in humans. Although intensively investigated for many years, its initial evolutionary history is not yet fully elucidated. Using bioinformatic and structure prediction methods on current databases containing newly-sequenced genomes and transcriptomes, we present a detailed characterization of p53 family homologs in remote members of the Holozoa group, in the unicellular clades Filasterea, Ichthyosporea and Corallochytrea. Moreover, we show that these newly characterized homologous sequences contain domains that can form structures with high similarity to the human p53 family DNA-binding domain, and some also show similarities to the oligomerization and SAM domains. The presence of these remote homologs demonstrates an ancient origin of the p53 protein family.
DOI: 10.5281/zenodo.3516559
title: HySN5, daily, 2001 through 2017

description: Daily HySN5 data from 2001 through 2017. Data from 1979 through 2000 is stored here. HySN5 is a high resolution HYbrid SeNorge data set of daily near surface humidity and surface incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era5) with a national 1-by-1 km gridded temperature data set, SeNorge2018. The assumptions and methods used to downscale humidity and longwave radiation are similar to those used in WATCH/PGMFD/NLDAS-1. The data has the same projection as SeNorge, UTM33, and is stored for precipitation days, i.e. the datestamp is day-month-year 06 UTC and the variable represents average value of the preceding 24 hours. A previous version of the data set, derived from Era-Interim and SeNorge version 2 is described, and compared to surface observations and other data sets here: GitHub, Erlandsen, H. B., Tallaksen, L. M., and Kristiansen, J.: Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain, Earth Syst. Sci. Data, 11, 797-821, https://doi.org/10.5194/essd-11-797-2019, 2019, and in its supplement: Supplement of Earth Syst. Sci. Data, 11, 797–821, 2019 https://doi.org/10.5194/essd-11-797-2019-supplement.
DOI: 10.5281/zenodo.3516560
title: HySN5, daily, 2001 through 2017

description: Daily HySN5 data from 2001 through 2017. Data from 1979 through 2000 is stored here. HySN5 is a high resolution HYbrid SeNorge data set of daily near surface humidity and surface incident shortwave and longwave radiation, and surface pressure created by merging reanalysis data (Era5) with a national 1-by-1 km gridded temperature data set, SeNorge2018. The assumptions and methods used to downscale humidity and longwave radiation are similar to those used in WATCH/PGMFD/NLDAS-1. The data has the same projection as SeNorge, UTM33, and is stored for precipitation days, i.e. the datestamp is day-month-year 06 UTC and the variable represents average value of the preceding 24 hours. A previous version of the data set, derived from Era-Interim and SeNorge version 2 is described, and compared to surface observations and other data sets here: GitHub, Erlandsen, H. B., Tallaksen, L. M., and Kristiansen, J.: Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain, Earth Syst. Sci. Data, 11, 797-821, https://doi.org/10.5194/essd-11-797-2019, 2019, and in its supplement: Supplement of Earth Syst. Sci. Data, 11, 797–821, 2019 https://doi.org/10.5194/essd-11-797-2019-supplement.
DOI: 10.5281/zenodo.3516717
title: LTER Northern Adriatic Sea (Italy) marine data from 1965 to 2015

description: The present database contains observations for 22 parameters of abiotic, phyto and zooplankton data collected in the Northern Adriatic Sea region (Italy). It relies on a Comma Separated Values file and it is composed by 108687 records. Due to its long temporal coverage, it is classifiable as Long Term Ecological data. Due to the long temporal coverage, the great part of parameters changed collection and analysis method in time. These variations are reported in the database. A long term database can be useful for multiple purposes. This database has been released under a research project focused on Open Science principles application to marine ecology, it is also deposited in B2Share repository (https://b2share.fz-juelich.de/records/f772ed02dcd1403a86fac5a6a19005ef) and metadata are available in DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry, https://deims.org/dataset/38d604ef-decb-4d67-8ac3-cc843d10d3ef). A datapaper, discussing methods, results and describing data is under discussion on Earth System Science Data (https://www.earth-syst-sci-data-discuss.net/essd-2019-111/)
description: Compared to the first version of the database, in this new version we deleted a column that resulted to be duplicated.
DOI: 10.5281/zenodo.3516726
title: Assessment of a multiplex PCR and Nanopore-based method for portable dengue virus sequencing in Indonesia

description: Multiplex primer sets for amplification of the complete coding region of Indonesian dengue virus.
DOI: 10.5281/zenodo.3516727
title: Assessment of a multiplex PCR and Nanopore-based method for portable dengue virus sequencing in Indonesia

description: Multiplex primer sets for amplification of the complete coding region of Indonesian dengue virus.
DOI: 10.17632/zw2d9p8nk7.1
title: Data for: A Data-driven Interlinked Model (DdIM) for Architectural Design: Exchange of Environmental, Structural and Social Performance Parameters

description: The dataset is generated by Microsoft Excel in CSV format.
DOI: 10.6073/pasta/47361866365740006c8e434b8a676026
title: PRW01 Fine Root Density and Turnover Based on Root Window Observations

description: Eight root windows (40cm x 40cm) were used to measure fine root production and decay over three years in a 2 factor-factorial experiment (Burning, Mowing). Root lengths were traced every two weeks during the growing season. Production, disappearance and standing crops (lengths) were calculated by 10 cm increments.
DOI: 10.5281/zenodo.3517091
title: BCdatabaser - its2.bellis.none.2019-10-23.zip

description: Parameters: --marker-search-string ITS2 OR 'internal transcribed spacer2' --taxonomic-range Bellis --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3517092
title: BCdatabaser - its2.bellis.none.2019-10-23.zip

description: Parameters: --marker-search-string ITS2 OR 'internal transcribed spacer2' --taxonomic-range Bellis --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5519/qd.h4llz78c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6073/pasta/37e8c3186831903142d9c4f2e22cfff0
title: PAB02 Biweekly Measurement of Aboveground Net Primary Productivity on an Unburned and Annually Burned Watershed at Konza Prairie

description: Data set contains estimates of standing crop biomass (grams per square meter) of live graminoids, forbs, woody plants, current year's dead, and previous year's dead vegetation. Twenty quadrats (0.1 square meters) are harvested for each watershed (001a and 020a) on each sample date.
DOI: 10.18430/m36um4
title: X-ray diffraction data for the crystal structure of malate dehydrogenase from Naegleria fowleri ATCC 30863 (6UM4)
DOI: 10.21227/tcmp-9k28
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date bunches covered by bags. The dataset is fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions. If you use the dataset, please cite the following articles:[1] H. Altaheri, M. Alsulaiman, G. Muhammad, S. U. Amin, M. Bencherif, and M. Mekhtiche, “Date Fruit Dataset for Intelligent Harvesting", Data in Brief, vol. 26, p. 104514, Oct. 2019.[2] H. Altaheri, M. Alsulaiman, and G. Muhammad, "Date Fruit Classification for Robotic Harvesting in a Natural Environment Using Deep Learning", IEEE Access, vol. 7, pp. 117115-117133, 2019. Update: Dataset-2 was uploaded. Date: 16/05/2019. The PDF files of dataset documentation and experiment papers were attached. Date: 23/10/2019.
DOI: 10.24417/bmdc.be:dataset:2240
title: test

description: test
DOI: 10.5519/qd.b04efto5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6073/pasta/77a3caa711db3a1c0299ce0d1a3b086f
title: PTN01 Aboveground net primary productivity along transects spanning topographic gradients on an annually burned and unburned watershed at Konza Prairie

description: In 1989, single transects spanning upland-lowland-upland topographic positions were established in a long-term unburned (0020B) and an annually burned (001D) watershed. Standing crop biomass data were collected in late season at 11 sites along each transect and sorted into live graminoids, forbs and woody plants, current year's dead, and previous years dead vegetation. Four 0.1 m2 quadrats were harvested at each of the 11 sites per watershed and all data except previous years' dead were combined to provide an estimate of aboveground NPP. In 1993, soil moisture measurements began along each transect at 15 and 30 cm depths (where possible) with a Time Domain Reflectomerty (TDR) system. Measurements were made twice a month from March - October and intermittently during the winter months.
DOI: 10.17632/v828pjx7sz.1
title: Data for: Asymmetric volatility spillovers between international economic policy uncertainty and the U.S. stock market

description: Baker's EPU data and Stock Volatility
DOI: 10.5257/oecd/mei/2019-10
title: Main Economic Indicators (MEI) (October 2019 Edition)

description: The Main Economic Indicators database includes a wide range of areas from 1961, such as quarterly national accounts, business surveys, retail sales, industrial production, construction, consumer prices, total employment, unemployment rates, interest rates, money and domestic finance, foreign finance, foreign trade, and balance of payments for OECD countries and non-member economies.
DOI: 10.15151/esrf-es-187132524
title: Lipid Bilayers at Soft Liquid/Liquid interfaces
DOI: 10.21227/jzky-ta78
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date bunches covered by bags. The dataset is fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions. If you use the dataset, please cite the following articles:[1] H. Altaheri, M. Alsulaiman, G. Muhammad, S. U. Amin, M. Bencherif, and M. Mekhtiche, “Date Fruit Dataset for Intelligent Harvesting", Data in Brief, vol. 26, p. 104514, Oct. 2019.[2] H. Altaheri, M. Alsulaiman, and G. Muhammad, "Date Fruit Classification for Robotic Harvesting in a Natural Environment Using Deep Learning", IEEE Access, vol. 7, pp. 117115-117133, 2019. Update: Dataset-2 was uploaded. Date: 16/05/2019. The PDF files of dataset documentation and experiment papers were attached. Date: 23/10/2019.
DOI: 10.5525/gla.researchdata.894
title: A community-based cooking programme “Eat Better Feel Better” can improve child and family eating behaviours in low socioeconomic groups

description: The data is quantitative. The purpose was to evaluate the "Eat Better Feel Better" cooking programme. The programme was developed and funded by NHS Greater Glasgow and Clyde Public Health (2016-2017). The data will open using IBM SPSS Statistics 24 software. The SPSS file contains two views, one showing all raw data from 516 participants, the second view is the list of all variables with corresponding labels (definitions). The data is from participants answers to the questionnaire used for the evaluation of the programme. The questionnaire is also included in the repository.
DOI: 10.5281/zenodo.3517116
title: ICPE 2020 experiments

description: Results of both normal and noised experiments
DOI: 10.5281/zenodo.3517117
title: ICPE 2020 experiments

description: Results of both normal and noised experiments
DOI: 10.25387/g3.10013024
title: Supplemental Material for Alioto et al., 2019

description: Figure S1: 17-mer analysis of the sequenced genome<br>Figure S2: Fragment size distributions of sequencing libraries<br>Figure S3: Fosmid pool assembly pipeline flowchart<br>Figure S4: Phylogeny of interferon (IFN) protein family.<br>Figure S5: Phylogeny of Toll-like receptor (TLR) protein family<br>Table S1: DNA concentration data Table S2: Animals used to provide tissue samples. Table S3: Mapping rates for liver infection time-course RNA-seq Table S4: EVM weights Table S5: list of woodchuck genes and their orthologs in mouse and human<br>
DOI: 10.25387/g3.10013024.v1
title: Supplemental Material for Alioto et al., 2019

description: Figure S1: 17-mer analysis of the sequenced genome<br>Figure S2: Fragment size distributions of sequencing libraries<br>Figure S3: Fosmid pool assembly pipeline flowchart<br>Figure S4: Phylogeny of interferon (IFN) protein family.<br>Figure S5: Phylogeny of Toll-like receptor (TLR) protein family<br>Table S1: DNA concentration data Table S2: Animals used to provide tissue samples. Table S3: Mapping rates for liver infection time-course RNA-seq Table S4: EVM weights Table S5: list of woodchuck genes and their orthologs in mouse and human<br>
DOI: 10.5281/zenodo.3516788
title: PPP endotoxin study

description: This excel file describes the results of these inventories found in the literature study and put in the context of impacting Gram-negative bacteria in intestinal and the subsequent effect on the production, health and welfare of broiler chickens (and mice) with several nutritional interventions.
DOI: 10.5281/zenodo.3516789
title: PPP endotoxin study

description: This excel file describes the results of these inventories found in the literature study and put in the context of impacting Gram-negative bacteria in intestinal and the subsequent effect on the production, health and welfare of broiler chickens (and mice) with several nutritional interventions.
DOI: 10.15468/fswarl
title: The squat lobster genus Phylladiorhynchus Baba, 1969 in New Zealand and eastern Australia, with description of six new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schnabel, Kareen E., Ahyong, Shane T. (2019): The squat lobster genus Phylladiorhynchus Baba, 1969 in New Zealand and eastern Australia, with description of six new species. Zootaxa 4688 (3): 301-347, DOI: https://doi.org/10.11646/zootaxa.4688.3.1
DOI: 10.7910/dvn/gcpext/e3mqtm
title: maindata.tab

description: main dataset
DOI: 10.7910/dvn/gcpext/ewrzbo
title: midata.tab

description: multiply imputed dataset
DOI: 10.7910/dvn/gcpext/ndqrtc
title: tober_ser_code.do

description: :unav
DOI: 10.15468/x6fmfg
title: A new species of Elaphidion Audinet-Serville, 1834, from Antigua and comparison with E. excelsum Gahan, 1895, from Guadeloupe (Coleoptera: Cerambycidae: Elaphidiini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vlasak, Josef (2019): A new species of Elaphidion Audinet-Serville, 1834, from Antigua and comparison with E. excelsum Gahan, 1895, from Guadeloupe (Coleoptera: Cerambycidae: Elaphidiini). Zootaxa 4688 (3): 442-446, DOI: https://doi.org/10.11646/zootaxa.4688.3.10
DOI: 10.7910/dvn/aetftf/dediwf
title: ptc_2_info_geo.txt

description: :unav
DOI: 10.7910/dvn/aetftf/jmklg5
title: ptc_dis_inv.txt

description: :unav
DOI: 10.15468/zwqoq6
title: Two new species of Schizomyia (Diptera: Cecidomyiidae) from Japan, with an updated key to larval, pupal and adult Schizomyia in Japan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Elsayed, Ayman Khamis, Yukawa, Junichi, Tokuda, Makoto (2019): Two new species of Schizomyia (Diptera: Cecidomyiidae) from Japan, with an updated key to larval, pupal and adult Schizomyia in Japan. Zootaxa 4688 (3): 348-360, DOI: https://doi.org/10.11646/zootaxa.4688.3.2
DOI: 10.17632/tdk23c73n9.1
title: Data for: Temporal and Spatial Evolution of Instrumented Seismicity in the Trans-Mexican Volcanic Belt.

description: Catalog of events within and in the vicinity of the Trans-mexican Volcanic Belt region, employed in the analysis.
DOI: 10.17632/yt43trrky7.1
title: Dateset for: Examining bulk and iron-associated organic carbon through depth in margin sea sediments (China) under contrasting depositional settings: chemical and NEXAFS spectral characterization

description: The dataset contains two tables and one figure. Table S1 presents sediment compositions and relevant parameters for iron-associated organic carbon and non-iron-associated organic carbon in three cores (A6-4, H12 and C08). Table S2 presents the relative abundances of organic carbon functionalities and ratios of carboxylic/aromatic and O-alkyl/aromatic in the three cores before and after reactive iron extractions. Figure S1 shows some selected carbon-1s NEXAFS spectra for sediments in the three cores before and after reactive iron extractions.
DOI: 10.15468/qnmipt
title: On some lesser known sea cucumbers in the Natural History Museum, UK (Echinodermata: Holothuroidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Thandar, Ahmed S. (2019): On some lesser known sea cucumbers in the Natural History Museum, UK (Echinodermata: Holothuroidea). Zootaxa 4688 (3): 361-381, DOI: https://doi.org/10.11646/zootaxa.4688.3.3
DOI: 10.15468/08rqcy
title: New Zealand forest-dwelling skinks of the Oligosoma oliveri (McCann) species-complex (Reptilia: Scincidae): reinstatement of O. pachysomaticum (Robb) and an assessment of historical distribution ranges

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jewell, Tony R. (2019): New Zealand forest-dwelling skinks of the Oligosoma oliveri (McCann) species-complex (Reptilia: Scincidae): reinstatement of O. pachysomaticum (Robb) and an assessment of historical distribution ranges. Zootaxa 4688 (3): 382-398, DOI: https://doi.org/10.11646/zootaxa.4688.3.5
DOI: 10.17632/td4zyd6zv2.1
title: uprooting data

description: These datasets were made available by the authors. Bywater-Reyes et al.'s dataset, Calvani et al.'s dataset can be also found on the Supporting information in their online publications, whereas Edmaier et al.'s dataset can be available from the author upon request.