cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14618235.v1
title: ForestTemp: sub-canopy microclimate temperatures of European forests

description: Combining more than 1,200 time series of <i>in situ</i> near-surface forest temperatures with topographical, biological and macroclimatic variables in a machine learning model, we predicted the mean monthly offset between sub-canopy temperature at 15 cm above the surface and free-air temperature over the period 2000-2020 at a spatial resolution of 25 m across Europe. This offset was used to calculate mean annual and monthly temperatures for European forest understories.When using any of these layers, please cite: Haesen et al. (2021). ForestTemp –Sub-canopy microclimate temperatures of European forests. Global Change Biology, 00, 1–13. https://doi.org/10.1111/gcb.15892 We have followed the generally accepted definition of BIO1:<br>ForestBIO1 = Annual Mean TemperatureTo mask pixels by the proportion of extrapolation, the file 'extrapolation.tif' can be used.Note that we will provide analoguous maps for minimum/maximum as well as the additional bioclimatic variables (ForestBIO2 - ForestBIO11) in the future. Furthermore, we will also provide the mean monthly temperature maps instead of only the offset maps. All layers are projected in epsg:3035.
DOI: 10.20372/aau_rdr/befy9r/hd9lr6
title: IMG_20220630_121632_468.jpg

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title: IMG_20220630_123832_594.jpg

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title: IMG_20220630_123856_725.jpg

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title: IMG_20220630_121708_298.jpg

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title: IMG_20220630_123944_559.jpg

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DOI: 10.20372/aau_rdr/befy9r/6f2ms8
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title: IMG_20220630_121743_770.jpg

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title: IMG_20220630_121741_430.jpg

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DOI: 10.20372/aau_rdr/befy9r/wrh89o
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DOI: 10.20372/aau_rdr/befy9r/8ibzy3
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DOI: 10.20372/aau_rdr/befy9r/gef73d
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DOI: 10.20372/aau_rdr/befy9r/ndimer
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DOI: 10.20372/aau_rdr/befy9r/cllobs
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DOI: 10.20372/aau_rdr/befy9r/jg8ps3
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DOI: 10.20372/aau_rdr/befy9r/35od15
title: IMG_20220630_121600_889.jpg

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DOI: 10.20372/aau_rdr/befy9r
title: Ethiopia’s Readiness to AfCFTA in Macroeconomic Policies and Actions Aspect

description: The data collected comes from primary and secondary sources.
DOI: 10.15151/esrf-es-874772394
title: Belgian BAG

description: The BAG includes groups situated at four Flemish universities: Antwerp, Brussels, Ghent and Leuven. Several of these groups are part of the elite Flemish Institute of Biotechnology (VIB). The proposed projects are highly diverse, including viral, prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Many projects deal with membrane proteins, cell surface receptors and protein-protein complexes. Central to the research in the BAG associated groups is the employment of integrative methods in structural biology combining X-ray crystallography, SAXS, and cryo-electron microscopy. Many crystals in the various proposed projects are small in size and radiation sensitive, requiring the use of the high brilliance MX beam lines, preferably with micro-focused X-rays. This is a continuation of a previous Belgian BAG which has resulted in numerous top-tier publications.
DOI: 10.15151/esrf-es-885249681
title: Structural Biology of Macromolecules and Macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX & SAXS to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Department of Biotechnology (DBT) enables studies that provide fundamental mechanistic insight regarding different biological processes. A brief description of over 50 research groups is provided in the global summary and a summary of their research contributions involving data collected at ESRF is provided in the 2 year BAG report. The ESRF-India partnership is supported by a single grant provided to the RCB by the DBT. Please note that a report listing no. of shifts utilized, details of users and the research output from these visits has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-885252247
title: Munich Crystallography BAG

description: The diverse groups of the Munich Crystallography BAG study a far range of subjects, reaching from structural aspects of fundamental cellular processes - such as RNA processing, protein folding and degradation, DNA repair, chromatin remodelling, enzymes - to the design of foldamers. The research groups are located at the LMU and TUM universities in Munich, at the Max-Planck-Institute of Biochemistry, Martinsried, and the Helmholtz Center, Neuherberg. Out-groups are located at the universities in Darmstadt and Ulm, Germany. The research groups use X-ray crystallography, single-particle cryo-EM, SAXS, NMR, Alphafold and HDX and XL-MS mass-spectrometry for structural studies.
DOI: 10.15151/esrf-es-912128149
title: Inhouse research

description: Test measurements for a proposal.
DOI: 10.6084/m9.figshare.20744767
title: Self-similar Scaling of Carbon

description: Similar behavior of the global carbon stock
DOI: 10.6084/m9.figshare.20744767.v1
title: Self-similar Scaling of Carbon

description: Similar behavior of the global carbon stock
DOI: 10.6084/m9.figshare.20744596
title: relevant data.xlsx

description: We included 315 consecutive patients with a first episode of AIS who were admitted to the Stroke Unit between August 2020 and December 2021. Eligible patients’ baseline clinical data including demographic characteristics (age, sex), risk factors (history of hypertension, diabetes mellitus, atrial fibrillation, coronary artery disease, smoking, alcohol consumption), stroke etiologic subtypes, and treatments (anticoagulation agents, antiplatelet agents, statins) were collected. All patients were subjected to routine blood tests within 6 hours of admission.
DOI: 10.6084/m9.figshare.20744596.v1
title: relevant data.xlsx

description: We included 315 consecutive patients with a first episode of AIS who were admitted to the Stroke Unit between August 2020 and December 2021. Eligible patients’ baseline clinical data including demographic characteristics (age, sex), risk factors (history of hypertension, diabetes mellitus, atrial fibrillation, coronary artery disease, smoking, alcohol consumption), stroke etiologic subtypes, and treatments (anticoagulation agents, antiplatelet agents, statins) were collected. All patients were subjected to routine blood tests within 6 hours of admission.
DOI: 10.25574/52254
title: Chandra X-ray Observatory ObsId 52254
DOI: 10.25574/52259
title: Chandra X-ray Observatory ObsId 52259
DOI: 10.25574/52263
title: Chandra X-ray Observatory ObsId 52263
DOI: 10.25574/52268
title: Chandra X-ray Observatory ObsId 52268
DOI: 10.25574/52272
title: Chandra X-ray Observatory ObsId 52272
DOI: 10.25574/52277
title: Chandra X-ray Observatory ObsId 52277
DOI: 10.25574/52280
title: Chandra X-ray Observatory ObsId 52280
DOI: 10.25574/52288
title: Chandra X-ray Observatory ObsId 52288
DOI: 10.25574/52294
title: Chandra X-ray Observatory ObsId 52294
DOI: 10.25574/52301
title: Chandra X-ray Observatory ObsId 52301
DOI: 10.25574/52308
title: Chandra X-ray Observatory ObsId 52308
DOI: 10.25574/52316
title: Chandra X-ray Observatory ObsId 52316
DOI: 10.25574/52322
title: Chandra X-ray Observatory ObsId 52322
DOI: 10.25574/52327
title: Chandra X-ray Observatory ObsId 52327
DOI: 10.25574/52332
title: Chandra X-ray Observatory ObsId 52332
DOI: 10.25574/52337
title: Chandra X-ray Observatory ObsId 52337
DOI: 10.25574/52342
title: Chandra X-ray Observatory ObsId 52342
DOI: 10.25574/52347
title: Chandra X-ray Observatory ObsId 52347
DOI: 10.25574/52351
title: Chandra X-ray Observatory ObsId 52351
DOI: 10.25574/52356
title: Chandra X-ray Observatory ObsId 52356
DOI: 10.25574/52361
title: Chandra X-ray Observatory ObsId 52361
DOI: 10.25574/52366
title: Chandra X-ray Observatory ObsId 52366
DOI: 10.25574/52370
title: Chandra X-ray Observatory ObsId 52370
DOI: 10.25574/52372
title: Chandra X-ray Observatory ObsId 52372
DOI: 10.25574/52386
title: Chandra X-ray Observatory ObsId 52386
DOI: 10.25574/52394
title: Chandra X-ray Observatory ObsId 52394
DOI: 10.25574/52402
title: Chandra X-ray Observatory ObsId 52402
DOI: 10.25574/52409
title: Chandra X-ray Observatory ObsId 52409
DOI: 10.25574/52411
title: Chandra X-ray Observatory ObsId 52411
DOI: 10.25574/52417
title: Chandra X-ray Observatory ObsId 52417
DOI: 10.25574/52425
title: Chandra X-ray Observatory ObsId 52425
DOI: 10.25574/52433
title: Chandra X-ray Observatory ObsId 52433
DOI: 10.25574/52440
title: Chandra X-ray Observatory ObsId 52440
DOI: 10.25574/52449
title: Chandra X-ray Observatory ObsId 52449
DOI: 10.25574/52456
title: Chandra X-ray Observatory ObsId 52456
DOI: 10.25574/52461
title: Chandra X-ray Observatory ObsId 52461
DOI: 10.25574/52465
title: Chandra X-ray Observatory ObsId 52465
DOI: 10.25574/52470
title: Chandra X-ray Observatory ObsId 52470
DOI: 10.25574/52478
title: Chandra X-ray Observatory ObsId 52478
DOI: 10.25574/52485
title: Chandra X-ray Observatory ObsId 52485
DOI: 10.25574/52493
title: Chandra X-ray Observatory ObsId 52493
DOI: 10.6084/m9.figshare.20745013
title: SPSS Data

description: All statistical analyses were performed using SPSS 20.0 (IBM Corp, Armonk, NY, USA) and GraphPad Prism 5.0 (GraphPad, San Diego, CA, USA). <em>P-</em>values &lt;0.05 were considered statistically significant.
DOI: 10.6084/m9.figshare.20343903.v1
title: Finger tapping data for Plos

description: This exploratory, cross-sectional study was conducted at the National Center for Geriatrics and Gerontology. This study included patients diagnosed with AD at the Center for Comprehensive Care and Research on Memory Disorders.
DOI: 10.6084/m9.figshare.20745236
title: Additional file 2 of Whole genome sequence analysis of equid gammaherpesvirus -2 field isolates reveals high levels of genomic diversity and recombination

description: Additional file 2: Table S1. Summary of sequencing metrics and assembly for EHV2 isolates. Table S2. Percentage nucleotide identity between EHV2 isolates. Table S3. Analysis of the overall selective pressure acting on EHV2 genes. Calculations of non-synonymous substitutions per non-synonymous site (Ka) to synonymous substitution per synonymous site (Ks) ratios for all EHV2 genes, along with standard errors based on 1,000 bootstrap replicates. Table S4. Details of the genes included in the study and their accession numbers. Table S5. Recombination breakpoint analysis of 20 EHV2 strains including strains 86/67 and G9/92.
DOI: 10.6084/m9.figshare.20745236.v1
title: Additional file 2 of Whole genome sequence analysis of equid gammaherpesvirus -2 field isolates reveals high levels of genomic diversity and recombination

description: Additional file 2: Table S1. Summary of sequencing metrics and assembly for EHV2 isolates. Table S2. Percentage nucleotide identity between EHV2 isolates. Table S3. Analysis of the overall selective pressure acting on EHV2 genes. Calculations of non-synonymous substitutions per non-synonymous site (Ka) to synonymous substitution per synonymous site (Ks) ratios for all EHV2 genes, along with standard errors based on 1,000 bootstrap replicates. Table S4. Details of the genes included in the study and their accession numbers. Table S5. Recombination breakpoint analysis of 20 EHV2 strains including strains 86/67 and G9/92.
DOI: 10.6084/m9.figshare.20745302
title: Additional file 6 of Analysis of lineage-specific protein family variability in prokaryotes combined with evolutionary reconstructions

description: Additional file 6: Table S2. Selected examples of potential subfunctionalization of paralogs (proteins which belong to the same COG). Selected by the following criteria: (1) present in most genomes in the respective lineage; (2) have small number of paralogs (3) have low and high variability estimates.
DOI: 10.6084/m9.figshare.20745302.v1
title: Additional file 6 of Analysis of lineage-specific protein family variability in prokaryotes combined with evolutionary reconstructions

description: Additional file 6: Table S2. Selected examples of potential subfunctionalization of paralogs (proteins which belong to the same COG). Selected by the following criteria: (1) present in most genomes in the respective lineage; (2) have small number of paralogs (3) have low and high variability estimates.
DOI: 10.6084/m9.figshare.20745311
title: Additional file 9 of Analysis of lineage-specific protein family variability in prokaryotes combined with evolutionary reconstructions

description: Additional file 9: Table S4. Genomes accessions and summary of genomic data used in this work.
DOI: 10.6084/m9.figshare.20745311.v1
title: Additional file 9 of Analysis of lineage-specific protein family variability in prokaryotes combined with evolutionary reconstructions

description: Additional file 9: Table S4. Genomes accessions and summary of genomic data used in this work.
DOI: 10.6084/m9.figshare.20745327
title: Additional file 1 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 1.
DOI: 10.6084/m9.figshare.20745327.v1
title: Additional file 1 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 1.
DOI: 10.6084/m9.figshare.20745333
title: Additional file 2 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 2.
DOI: 10.6084/m9.figshare.20745333.v1
title: Additional file 2 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 2.
DOI: 10.6084/m9.figshare.20745336
title: Additional file 3 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 3.
DOI: 10.6084/m9.figshare.20745336.v1
title: Additional file 3 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 3.
DOI: 10.6084/m9.figshare.20745339
title: Additional file 4 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 4.
DOI: 10.6084/m9.figshare.20745339.v1
title: Additional file 4 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 4.
DOI: 10.6084/m9.figshare.20745342
title: Additional file 5 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 5.
DOI: 10.6084/m9.figshare.20745342.v1
title: Additional file 5 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 5.
DOI: 10.6084/m9.figshare.20745348.v1
title: Additional file 7 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 7. Figure S1: Venn diagram representing the overlap between samples identified as having &gt; 1000 reads associated with either A) Wolbachia or B) Spiroplasma. MetaPhlan results are represented in Green and Kraken in Blue.
DOI: 10.6084/m9.figshare.20745345
title: Additional file 6 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 6.
DOI: 10.6084/m9.figshare.20745345.v1
title: Additional file 6 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 6.
DOI: 10.6084/m9.figshare.20745348
title: Additional file 7 of One’s trash is someone else’s treasure: sequence read archives from Lepidoptera genomes provide material for genome reconstruction of their endosymbionts

description: Additional file 7. Figure S1: Venn diagram representing the overlap between samples identified as having &gt; 1000 reads associated with either A) Wolbachia or B) Spiroplasma. MetaPhlan results are represented in Green and Kraken in Blue.
DOI: 10.6084/m9.figshare.20745473.v1
title: Additional file 1 of Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge

description: Additional file 1.
DOI: 10.6084/m9.figshare.20745473
title: Additional file 1 of Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge

description: Additional file 1.
DOI: 10.6084/m9.figshare.20745476
title: Additional file 2 of Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge

description: Additional file 2.
DOI: 10.6084/m9.figshare.20745476.v1
title: Additional file 2 of Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge

description: Additional file 2.