cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5734156
title: [Data set]for publication Acidification of Strawberry Puree Affects Color and Volatile Characteristics during Storage

description: Color degradation of strawberry-based products negatively affects consumer acceptance of these products. To improve the color stability of strawberry puree during storage, an acidification step (pH 1.5 and 2.5) prior to pasteurization was performed and quality changes of strawberry puree during storage (35 °C, 40 days) were monitored. Acidification prior to pasteurization resulted in an improved color and anthocyanin stability. However, the volatile fraction of strawberry puree was negatively influenced by acidification of the puree. Low acidic conditions (pH 1.5) resulted in the hydrolysis of esters, oxidation of terpene oxides, and acid-catalyzed reactions of terpene alcohols during storage. The volatile fraction of strawberry puree stored at pH 2.5 and 3.5 (the latter being the original strawberry puree) were more similar. Furthermore, after 4 days of storage, the pH of the acidified purees was brought back to the natural pH of the system (3.5) and subsequently thermally treated and stored. During this second storage, color showed a slightly faster degradation rate in those purees that were previously acidified, whereas anthocyanins exhibited similar trends suggesting that the advantage of acidification to preserve color would be beneficial after thermal processing, but more limited during storage of the regenerated product (second storage).
DOI: 10.5281/zenodo.5734155
title: [Data set]for publication Acidification of Strawberry Puree Affects Color and Volatile Characteristics during Storage

description: Color degradation of strawberry-based products negatively affects consumer acceptance of these products. To improve the color stability of strawberry puree during storage, an acidification step (pH 1.5 and 2.5) prior to pasteurization was performed and quality changes of strawberry puree during storage (35 °C, 40 days) were monitored. Acidification prior to pasteurization resulted in an improved color and anthocyanin stability. However, the volatile fraction of strawberry puree was negatively influenced by acidification of the puree. Low acidic conditions (pH 1.5) resulted in the hydrolysis of esters, oxidation of terpene oxides, and acid-catalyzed reactions of terpene alcohols during storage. The volatile fraction of strawberry puree stored at pH 2.5 and 3.5 (the latter being the original strawberry puree) were more similar. Furthermore, after 4 days of storage, the pH of the acidified purees was brought back to the natural pH of the system (3.5) and subsequently thermally treated and stored. During this second storage, color showed a slightly faster degradation rate in those purees that were previously acidified, whereas anthocyanins exhibited similar trends suggesting that the advantage of acidification to preserve color would be beneficial after thermal processing, but more limited during storage of the regenerated product (second storage).
DOI: 10.5281/zenodo.5660081
title: AI4Agriculture Grape Dataset

description: The AI4Agriculture Grape Dataset is a collection of 250 images taken in a vineyard in Ribera de Duero. The grapefruits are from the Tempranillo variety. The images are annotated using bounding boxes. The goal of this dataset is to provide images and the associated annotations to train and validate object detection models. These models can be used in viticulture applications, such as yield estimation, fruit counting, and field robotics. The images were taken in twelve different parcels. Six areas were defined in each parcel. Each area contains several lines of plants (grapevines). For each line of plants, 4 picture samples have been taken (two on each side). The samples are from non-contiguous grapevines, so the pictures never overlap. The pictures were taken by a Xiaomi Redmi 8 (with resolution 4032x3024), Xiaomi Mi A3 (with resolution 3000x4000) and a Xiaomi Redmi 9 (with resolution 3264x2448). To avoid showing grapes from other rows, the pictures were taken at approximately half the height of the vine-tree rows. For each image, a .xml file was generated, with the Pascal VOC format, containing all the labeled items (with bounding boxes) in that image. Annotations in YOLO format are also provided (*.txt). The labeling methodology is described in this document. Some images have issues: i) reflections caused by the sun ii) group of grapes partially hidden by leaves or iii) hidden by other objects (e.g. irrigation pipes), iv) color and direction similar to a tree trunk v) dead grapes in the floor or vi) grapes from the plant behind the plant analyzed. The images were captured by SmartRural and annotated by ATOS, UPC, Deutsches Zentrum für Luft- und Raumfahrt, and National and Kapodistrian University of Athens in the framework of the AI4Agriculture pilot of the AI4EU project.
DOI: 10.5281/zenodo.5660080
title: AI4Agriculture Grape Dataset

description: The AI4Agriculture Grape Dataset is a collection of 250 images taken in a vineyard in Ribera de Duero. The grapefruits are from the Tempranillo variety. The images are annotated using bounding boxes. The goal of this dataset is to provide images and the associated annotations to train and validate object detection models. These models can be used in viticulture applications, such as yield estimation, fruit counting, and field robotics. The images were taken in twelve different parcels. Six areas were defined in each parcel. Each area contains several lines of plants (grapevines). For each line of plants, 4 picture samples have been taken (two on each side). The samples are from non-contiguous grapevines, so the pictures never overlap. The pictures were taken by a Xiaomi Redmi 8 (with resolution 4032x3024), Xiaomi Mi A3 (with resolution 3000x4000) and a Xiaomi Redmi 9 (with resolution 3264x2448). To avoid showing grapes from other rows, the pictures were taken at approximately half the height of the vine-tree rows. For each image, a .xml file was generated, with the Pascal VOC format, containing all the labeled items (with bounding boxes) in that image. Annotations in YOLO format are also provided (*.txt). The labeling methodology is described in this document. Some images have issues: i) reflections caused by the sun ii) group of grapes partially hidden by leaves or iii) hidden by other objects (e.g. irrigation pipes), iv) color and direction similar to a tree trunk v) dead grapes in the floor or vi) grapes from the plant behind the plant analyzed. The images were captured by SmartRural and annotated by ATOS, UPC, Deutsches Zentrum für Luft- und Raumfahrt, and National and Kapodistrian University of Athens in the framework of the AI4Agriculture pilot of the AI4EU project.
DOI: 10.5281/zenodo.5734130
title: Iterative cell optimization in refinement of small molecule electron diffraction data.

description: Electron diffraction data for the MOF Vie-1 and for Oseltamivir. Associated with the manuscript "Iterative cell optimization in refinement of small molecule electron diffraction data." in submission process.
description: Funding for this research was provided by Swiss Nanoscience Institute (grant No. A12.01 - A3EDPI)
DOI: 10.5281/zenodo.5730526
title: SLF4Web - MPEG-DASH datasets of static light fields

description: MPEG-DASH datasets for the SLF4Web research project. SLF4Web is a Web-based implementation of a static light field consumption system; it allows SLF datasets to be adaptively streamed over the network (via MPEG-DASH) and then to be visualized in a vanilla Web browser. The datasets are encoded using the H.264/AVC video codec. A subset of the datasets are available in multiple qualities to allow for adaptive network streaming. The SLF4Web source code is available on GitHub (https://github.com/EDM-Research/SLF4Web) and as a bundle at https://zenodo.org/badge/latestdoi/432214902.
DOI: 10.5281/zenodo.5730525
title: SLF4Web - MPEG-DASH datasets of static light fields

description: MPEG-DASH datasets for the SLF4Web research project. SLF4Web is a Web-based implementation of a static light field consumption system; it allows SLF datasets to be adaptively streamed over the network (via MPEG-DASH) and then to be visualized in a vanilla Web browser. The datasets are encoded using the H.264/AVC video codec. A subset of the datasets are available in multiple qualities to allow for adaptive network streaming. The SLF4Web source code is available on GitHub (https://github.com/EDM-Research/SLF4Web) and as a bundle at https://zenodo.org/badge/latestdoi/432214902.
DOI: 10.5281/zenodo.5734129
title: Iterative cell optimization in refinement of small molecule electron diffraction data.

description: Electron diffraction data for the MOF Vie-1 and for Oseltamivir. Associated with the manuscript "Iterative cell optimization in refinement of small molecule electron diffraction data." in submission process.
description: Funding for this research was provided by Swiss Nanoscience Institute (grant No. A12.01 - A3EDPI)
DOI: 10.6084/m9.figshare.17029343
title: Table S1

description: Table S1. Sequencing and assembly statistics for the 121 genomes included in this study. (a) Taxonomy, ecological information, and accession numbers for 121 genomes included in this study. NA indicates where data is not available; (b) Genome sequencing and assembly information for 96 genomes of Hypoxylaceae and Xylariaceae <i>sensu lato</i>.
DOI: 10.6084/m9.figshare.17029343.v1
title: Table S1

description: Table S1. Sequencing and assembly statistics for the 121 genomes included in this study. (a) Taxonomy, ecological information, and accession numbers for 121 genomes included in this study. NA indicates where data is not available; (b) Genome sequencing and assembly information for 96 genomes of Hypoxylaceae and Xylariaceae <i>sensu lato</i>.
DOI: 10.6084/m9.figshare.17029346
title: Table S2

description: Table S2. RepeatMasker, RepeatScout, and RepBase Update classification of repetitive elements for 96 genomes of Xylariaceae s.l. and Hypoxylaceae.<br>
DOI: 10.6084/m9.figshare.17029346.v1
title: Table S2

description: Table S2. RepeatMasker, RepeatScout, and RepBase Update classification of repetitive elements for 96 genomes of Xylariaceae s.l. and Hypoxylaceae.<br>
DOI: 10.6084/m9.figshare.17029349
title: Table S3

description: Table S3. Secondary metabolite gene clusters (SMGCs) and cluster families for the 96 Hypoxylaceae and Xylariaceae s.l. genomes included in this study. (a) Count of SMGCs and BiG- SCAPE cluster families by genome; (b) Distribution and percent similarity of Xylariaceae s.l. and Hypoxylaceae SMGCs to 168 MIBiG accessions; (c) Count and percentage of all SMGCs and SMGC families per category (A-J); (d-j) Count and percentage of SMGCs per type (e.g., NRPS, Terpene, Other PKS, PKS-NRP Hybrids, Other, RiPP) per category (A-J).<br>
DOI: 10.6084/m9.figshare.17029352
title: Table S4

description: Table S4. Catabolic gene clusters (CGCs) and cluster families for the 96 Hypoxylaceae and Xylariaceae s.l. genomes included in this study. (a) Count of catabolic gene clusters (CGCs) by anchor gene; (b) Presence/Absence of CGC families per genome; (c) Composition of the CGC families; (d) Genomic position and annotation of CGCs.<br>
DOI: 10.6084/m9.figshare.17029352.v1
title: Table S4

description: Table S4. Catabolic gene clusters (CGCs) and cluster families for the 96 Hypoxylaceae and Xylariaceae s.l. genomes included in this study. (a) Count of catabolic gene clusters (CGCs) by anchor gene; (b) Presence/Absence of CGC families per genome; (c) Composition of the CGC families; (d) Genomic position and annotation of CGCs.<br>
DOI: 10.6084/m9.figshare.17029361
title: Table S5

description: Table S5. Taxonomic, phylogenetic, and functional annotation information for HGT candidate genes identified by Alien Index (AI) analyses. (a) Taxonomic and phylogenetic information for 4,262 putative HGT candidate genes identified by Alien Index (AI). NA indicates not applicable; (b) Manual curation of phylogenetic trees reveals 168 HGT candidates (each row is a unique transfer event; orthogroups may appear more than once); (c) Distribution of HGT counts per genome (HGT001-HGT- 129 are high confidence transfers and HGT130-HGT290 are ambiguous transfers); (d) Functional annotation of 1,148 SMGC genes identified by the second Alien Index as candidate HGTs.<br>
DOI: 10.6084/m9.figshare.17029361.v1
title: Table S5

description: Table S5. Taxonomic, phylogenetic, and functional annotation information for HGT candidate genes identified by Alien Index (AI) analyses. (a) Taxonomic and phylogenetic information for 4,262 putative HGT candidate genes identified by Alien Index (AI). NA indicates not applicable; (b) Manual curation of phylogenetic trees reveals 168 HGT candidates (each row is a unique transfer event; orthogroups may appear more than once); (c) Distribution of HGT counts per genome (HGT001-HGT- 129 are high confidence transfers and HGT130-HGT290 are ambiguous transfers); (d) Functional annotation of 1,148 SMGC genes identified by the second Alien Index as candidate HGTs.<br>
DOI: 10.48366/r155191
title: A generalized and global review of Hyperion hyperspectral imagery for geological applications

description: This comparison depicts the capability of the Hyperion hyperspectral datasets in identifying and characterizing minerals all around the globe. It includes the application of various image and signal processing techniques for mineral mapping.
DOI: 10.5281/zenodo.5734208
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.25494/p6/mlpa_kelpforest.3
title: Monitoring and Evaluation of Kelp Forest Ecosystems in the MLPA Marine Protected Area Network

description: The kelp forest monitoring datasets provided here are assembled from four academic institutions involved in the baseline and long-term monitoring phases of California’s statewide Marine Protection Area implementation and evaluation process. These datasets include the baseline periods for all regions, and additional historical data. The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) kelp forest program, administered out of the University of California campuses in Santa Cruz and Santa Barbara and funded primarily by the David and Lucile Packard Foundation, has been monitoring across California since 1999, and with a focus on Marine Protected Areas. The Vantuna Research Group at Occidental College has conducted monitoring in the southern California region since 1966, and has been using similar sampling methods to the PISCO program to monitor kelp forests in the region since the 2004 wide-scale monitoring effort of the Cooperative Research and Assessment of Nearshore Ecosystems (CRANE) Program. Researchers at Humboldt State University began monitoring sites in the north coast region in 2014 and 2015 using the PISCO sampling methodology. Data have been integrated across all four programs. To comprehensively and quantitatively characterize the ecological community and geological features at each kelp forest site, four different sampling methods are employed, all of which are conducted visually by SCUBA divers. Fish transects and benthic macroalgae and invertebrate transects overlap with, but are spatially distinct from one another. Surveys are conducted annually, during the summer or early fall. Typically, two to four sites inside a given MPA and two to four sites outside of the MPA are surveyed in a given year, with the number and shape of sites varying depending on habitat (e.g. onshore-offshore steepness of the reef) and longshore width of the MPA. Sampling history varies by program, MPA, and sampling site.
DOI: 10.6084/m9.figshare.17091116
title: Element content data of winter wheat root under drought stress by two phosphorus treatments

description: Phosphorus-stress and drought-stress are common abiotic stresses for wheat. This study constructed element content of wheat seedling roots using two winter wheat with contrasting drought tolerance and phosphorus utilization efficiency. They were treated with drought stress under conventional–phosphorus level (CP: 1.0 mmol/L) and low-phosphorus levels (LP: 0.05 mmol /L), respectively. Then they were used for element content detection after 7 days of drought and after-rewatering-3day. The objective of the present study was to increase the information about the effect of drought on the element content characteristics of wheat root cultured by two phosphorus levels.
DOI: 10.5281/zenodo.5734201
title: Hands-on: Reducing Number of Timeslices in SAND Interface

description: 1) Support template to reduce the number of timeslices from 96 to 8 in SAND Interface. 2) Example SAND Interface with 8 timeslices. (Kenya LCv2 Starter Kit with 8 timeslices)
DOI: 10.5281/zenodo.5719541
title: Replication package for: "Hobo Economicus"

description: Leeson, Peter T., R. August Hardy, and Paola A. Suarez. "Hobo Economicus." Economic Journal.
DOI: 10.5281/zenodo.5719540
title: Replication package for: "Hobo Economicus"

description: Leeson, Peter T., R. August Hardy, and Paola A. Suarez. "Hobo Economicus." Economic Journal.
DOI: 10.15161/oar.it/74289
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.17029373
title: Table S6

description: Table S6. Counts and statistical comparisons of genome content as a function of major clade (Xylariaceae s.l. vs. Hypoxylaceae) and ecological mode (endophyte vs. non-endophyte). (a) Ecological information and functional annotations for 96 genomes of Hypoxylaceae and Xylariaceae <i>sensu lato</i>; (b) Statistical comparisons between clades. Colors differentiate results for Hypoxylaceae (blue) vs. Xylariaceae s.l. (yellow). (c) Statistical comparison between endophytic and non-endophytic genomes with phylogenetic independent contrasts (PICS). Colors differentiate results for endophytes (blue) vs. non-endophytes (yellow); (d) Statistical analysis of genomic features for paired endophyte/non- endophyte sister taxa using least-squares means contrasts; (e) Pearson correlation of genomic features as a function of ecological mode and clade.
DOI: 10.6084/m9.figshare.17029373.v1
title: Table S6

description: Table S6. Counts and statistical comparisons of genome content as a function of major clade (Xylariaceae s.l. vs. Hypoxylaceae) and ecological mode (endophyte vs. non-endophyte). (a) Ecological information and functional annotations for 96 genomes of Hypoxylaceae and Xylariaceae <i>sensu lato</i>; (b) Statistical comparisons between clades. Colors differentiate results for Hypoxylaceae (blue) vs. Xylariaceae s.l. (yellow). (c) Statistical comparison between endophytic and non-endophytic genomes with phylogenetic independent contrasts (PICS). Colors differentiate results for endophytes (blue) vs. non-endophytes (yellow); (d) Statistical analysis of genomic features for paired endophyte/non- endophyte sister taxa using least-squares means contrasts; (e) Pearson correlation of genomic features as a function of ecological mode and clade.
DOI: 10.6084/m9.figshare.16924369
title: Additional file 9

description: Appendix S9. (a) Orthogroup summary statistics; (b) Orthogroup annotations; (c) Count and percentage of orthogroups and proteins per orthogroup category (A-J). (d) Orthogroups that comprise each category (A-J)
DOI: 10.6084/m9.figshare.16924369.v1
title: Additional file 9

description: Appendix S9. (a) Orthogroup summary statistics; (b) Orthogroup annotations; (c) Count and percentage of orthogroups and proteins per orthogroup category (A-J). (d) Orthogroups that comprise each category (A-J)
DOI: 10.6084/m9.figshare.16924384
title: Additional file 10

description: Appendix S10. Comparison of functional annotations for core and dispensable orthogroups. Bar graphs showing the relative abundance of different functional categories represented by “core” vs. “dispensable” orthogroups. Orthogroups were annotated with euKaryotic Orthologous Groups (KOGs; see Appendix S9f).<br><br>
DOI: 10.6084/m9.figshare.16924384.v1
title: Additional file 10

description: Appendix S10. Comparison of functional annotations for core and dispensable orthogroups. Bar graphs showing the relative abundance of different functional categories represented by “core” vs. “dispensable” orthogroups. Orthogroups were annotated with euKaryotic Orthologous Groups (KOGs; see Appendix S9f).<br><br>
DOI: 10.6084/m9.figshare.14067383
title: Additional file 1

description: This file contains the InterProScan annotations.<br>
DOI: 10.6084/m9.figshare.14067383.v1
title: Additional file 1

description: This file contains the InterProScan annotations.<br>
DOI: 10.6084/m9.figshare.14067392
title: Additional file 3

description: This file contains tables summarizing the ancestral gene reconstruction by Count v10.04. The ancestral gene content was reconstructed for the entire data set, as well as for subsets of orthologous gene families corresponding to different functional groups including (i) CAZymes; (ii) plant cell wall degrading enzymes (PCWDEs); (iii) PCWDEs involved in the degradation of cellulose, hemicellulose, lignin, pectin, starch and inulin; (iv) peptidases; (v) peptidase inhibitors; (vi) transporters; (vii) transporters involved in the exchange of carbohydrates; (viii) transporters involved in the exchange of amino acids; (ix) transporters involved in the exchange of lipids; (x) transporters involved in the exchange of nitrogen; and (xi) effectors. <br>