cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1009519
title: Tno-Co2_Circe Projections (2018-2050)

description: To provide modellers with an emission dataset that is indicative of the possible future emissions in Europe under two different policy pathways we use two global emission scenarios developed by the EDGAR team in the CIRCE project (Doering et al., 2010).  The selected scenarios are a business-as-usual (BAU) and a climate change (CC) scenario. The two CIRCE scenarios contain detailed information about the development of individual source sector categories. By coupling these scenarios to TNO-CAMS gridded CO2 data, the emission changes in each grid-cell and for each region can be estimated in a spatially explicit manner. The projections start from the latest historic year in the the TNO_CAMS-CO2 data set, being 2014. The emission data can be used for e.g. for sensitivity tests, for example when designing a possible future observational system. The years covered in the data set are 2018, 2020, 2023, 2028, 2030, 2033, 2050. This selection has been made to include the 5-year time steps fro the global stocktake in the Paris Agreement. 

The emission grid consists of UNECE-Europe in WGS84 projection (lon-lat) with a spatial resolution of 1/8 x 1/16 degrees (lon x lat). The lower left of the grid is at lon = -60, lat = 30 and the upper right is at lon = 60, lat = 72.

The netcdf grid files (.nc)  contain annual total emissions per grid cell for the years 2018, 2020, 2023, 2028, 2030, 2033, 2050. A separate file has been prepared for each year and each scenario (BAU or CC). The unit in the .nc files is kg/gridcell/yr

Sectoral breakdown  uses the SNAP classification. Compared to the default SNAP1 sectors (1 to 10), the following change was made:


	
	SNAP 3 and SNAP 4 are grouped as SNAP 34
	
	
	SNAP 7 is split in SNAP 71 to 75
	


The dataset is described in 

Denier van der Gon, H.A.C., J.J.P. Kuenen, G. Janssens-Maenhout, U. Döring, S. Jonkers, A.J.H. Visschedijk., TNO_CAMS high resolution European emission inventory for anthropogenic and biogenic CO<sub>2</sub>  for 2000-2014 and future years following two different pathways, ESSD, in preparation, 2017.
DOI: 10.23721/116/1406256
title: Traveling the Silk Road: Non-anonymized datasets (2012-03-04 to 2012-07-23)

description: Non-anonymized subset of the databases used in the paper "Traveling the Silk Road: A measurement analysis of a large anonymous online marketplace" (Christin, 2013). In this dataset,  textual information (item name, description, or feedback text) and handles have *not* been anonymized and are thus available. We don't expect any private identifiers or other PII to be present in the data, which was collected from a publicly available website -- the Silk Road anonymous marketplace -- for a few months in 2012.

For less restricted usage terms, please consider the anonymized version, which is also available without any restrictions. This non-anonymized dataset should only be requested if your project MUST rely on full textual descriptions of items and/or feedback.

Christin (2013) Traveling the Silk Road: A measurement analysis of a large anonymous online marketplace. To appear in Proceedings of the 22nd International World Wide Web Conference (WWW'13). Rio de Janeiro, Brazil. May 2013.
DOI: 10.23721/116/1406257
title: Search redirection datasets: 2011-2014 (04/10/2010 to 09/16/2013)

description: Three SQL databases containing the data used in the "A Nearly Four-Year Longitudinal Study of Search-Engine Poisoning" paper.
DOI: 10.7946/p29s5b
title: Science Citation Knowledge Extractor
DOI: 10.15468/nhtflq
title: Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Osborn, H. F. (1916): Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus. Bulletin American Museum of Natural History 35: 733-771, DOI: 10.5281/zenodo.1040385, URL: http://digitallibrary.amnh.org/handle/2246/1334
DOI: 10.5281/zenodo.1040353
title: Increasing Methane Emissions From Natural Land Ecosystems Due To Sea-Level Rise

description: The file contains the datasets (data, scripts and GIS data) presented in "Increasing methane emissions from natural land ecosystems due to sea-level rise"
DOI: 10.5281/zenodo.1040352
title: Increasing Methane Emissions From Natural Land Ecosystems Due To Sea-Level Rise

description: The file contains the datasets (data, scripts and GIS data) presented in "Increasing methane emissions from natural land ecosystems due to sea-level rise"
DOI: 10.5281/zenodo.1040360
title: Example 16S Metagenomics Dataset

description: This is a 16S Metagenomics example dataset obtained by transforming data originally from Batista et al. (2015). It consists of data corresponding to 2 conditions (WT untreated and WT after Streptomycin treatment) with 5 replicates each, where exactly 10000 reads were obtained from the original forward raw reads of each sample. This dataset includes a metadata file, sequencing reads as well as the greengenes reference dataset, which is given here for convenience and reproducibility.
DOI: 10.5281/zenodo.1040361
title: Example 16S Metagenomics Dataset

description: This is a 16S Metagenomics example dataset obtained by transforming data originally from Batista et al. (2015). It consists of data corresponding to 2 conditions (WT untreated and WT after Streptomycin treatment) with 5 replicates each, where exactly 10000 reads were obtained from the original forward raw reads of each sample. This dataset includes a metadata file, sequencing reads as well as the greengenes reference dataset, which is given here for convenience and reproducibility.
DOI: 10.5281/zenodo.1040370
title: Increasing Methane Emissions From Natural Land Ecosystems Due To Sea-Level Rise

description: The file contains the datasets (data, scripts and GIS data) presented in "Increasing methane emissions from natural land ecosystems due to sea-level rise"
DOI: 10.6084/m9.figshare.12978203.v1
title: R0225_20180526a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12978359.v1
title: Additional file 1 of An analysis of the strategic plan development processes of major public organisations funding health research in nine high-income countries worldwide

description: Additional file 1. Data abstraction form. (a) Table of the included and excluded organisations with reasons; (b) table of the included organisations with budget; (c) the organisations’ profiles according to the fields of the conceptual framework; and (d) full list of the consulted references and web pages for each organisation’s profile.
DOI: 10.6084/m9.figshare.12978359
title: Additional file 1 of An analysis of the strategic plan development processes of major public organisations funding health research in nine high-income countries worldwide

description: Additional file 1. Data abstraction form. (a) Table of the included and excluded organisations with reasons; (b) table of the included organisations with budget; (c) the organisations’ profiles according to the fields of the conceptual framework; and (d) full list of the consulted references and web pages for each organisation’s profile.
DOI: 10.6084/m9.figshare.12978372
title: Additional file 1 of Mutation profiling in eight cases of vagal paragangliomas

description: Additional file 1. Pathogenic/likely pathogenic variants identified in the patients with vagal paragangliomas. (XLS 339 kb)
DOI: 10.6084/m9.figshare.12978372.v1
title: Additional file 1 of Mutation profiling in eight cases of vagal paragangliomas

description: Additional file 1. Pathogenic/likely pathogenic variants identified in the patients with vagal paragangliomas. (XLS 339 kb)
DOI: 10.6084/m9.figshare.12978411.v1
title: Additional file 1 of Impact of abiotic factors, habitat type and urban wildlife on the ecology of hard ticks (Acari: Ixodidae) in urban and peri-urban habitats

description: Additional file 1: Table S1. The schedule used for the flagging, micromammal trapping, and bird and hedgehog sampling campaigns in Cluj-Napoca during 2018. Numbers indicate weeks of the year. The timeline of the protocol used for the flagging, sampling, and trapping campaigns performed in the seven recreational locations in Cluj-Napoca during 2018 is provided.
DOI: 10.6084/m9.figshare.12978411
title: Additional file 1 of Impact of abiotic factors, habitat type and urban wildlife on the ecology of hard ticks (Acari: Ixodidae) in urban and peri-urban habitats

description: Additional file 1: Table S1. The schedule used for the flagging, micromammal trapping, and bird and hedgehog sampling campaigns in Cluj-Napoca during 2018. Numbers indicate weeks of the year. The timeline of the protocol used for the flagging, sampling, and trapping campaigns performed in the seven recreational locations in Cluj-Napoca during 2018 is provided.
DOI: 10.6084/m9.figshare.12978423
title: Additional file 2 of Multiple paragangliomas: a case report

description: Additional file 2. Pathogenic/likely pathogenic somatic variants in carotid and vagal paragangliomas.
DOI: 10.6084/m9.figshare.12978435.v1
title: Additional file 2 of Estimating the number of usability problems affecting medical devices: modelling the discovery matrix

description: Additional file 2. Tabulated version of the results of the simulation study presented in the main manuscript. S-Table 5: Bias in the prediction of m: the mean error (as a percentage of the true m) as a function of the sample size (n). S-Table 6: Consistency in the prediction of m: the RMSE for the prediction of m as a function of the sample size (n). S-Table 7: Coverage probability (in % of the 95% confidence interval) of m ̂ $$ \hat{m} $$ with each combination (m, μ, σ, n).
DOI: 10.6084/m9.figshare.12978423.v1
title: Additional file 2 of Multiple paragangliomas: a case report

description: Additional file 2. Pathogenic/likely pathogenic somatic variants in carotid and vagal paragangliomas.
DOI: 10.6084/m9.figshare.12978435
title: Additional file 2 of Estimating the number of usability problems affecting medical devices: modelling the discovery matrix

description: Additional file 2. Tabulated version of the results of the simulation study presented in the main manuscript. S-Table 5: Bias in the prediction of m: the mean error (as a percentage of the true m) as a function of the sample size (n). S-Table 6: Consistency in the prediction of m: the RMSE for the prediction of m as a function of the sample size (n). S-Table 7: Coverage probability (in % of the 95% confidence interval) of m ̂ $$ \hat{m} $$ with each combination (m, μ, σ, n).
DOI: 10.6084/m9.figshare.12978485
title: Additional file 3 of Cardioprotective effect of garlic extract in isoproterenol-induced myocardial infarction in a rat model: assessment of pro-apoptotic caspase-3 gene expression

description: Additional file 3.
DOI: 10.6084/m9.figshare.12978485.v1
title: Additional file 3 of Cardioprotective effect of garlic extract in isoproterenol-induced myocardial infarction in a rat model: assessment of pro-apoptotic caspase-3 gene expression

description: Additional file 3.
DOI: 10.6084/m9.figshare.12978497
title: Additional file 1 of Smoking-associated increase in mucins 1 and 4 in human airways

description: Additional file 1: Figure S1. Immunohistochemical stainings performed with consecutive tissue. Sections were cut in consecutive order, and stained in carefully selected order. In Images A-B p63 and MUC1 staining from healthy current smoker is presented. Basal cells were detected with a specific antibody, p63, which stains nucleus in basal cells showing a dark brown staining (A). Positive MUC1 staining in the basal cells with the score of 285 (B). Cytosolic positivity of the basal cells was considered significant. Red arrows show the staining in the basal cells. In Images C-D AB-PAS and MUC4 stainings from healthy current smoker is presented. Goblet cells were detected with AB-PAS staining, in which goblet cells are stained in clear blue (C). Positive MUC4 staining in all cell types with scores of 300 (D). All the airway epithelial cells types are MUC4 positive, as well as the endothelial cells in small veins. Cytosolic positivity was considered significant. Thin black arrows in both C and D images show the goblet cells and green arrows point to the small veins. Table S1. Comparison between the groups. Scoring of the immunohistochemical stainings mucins and EGFRs with p-value and FDR value. p ≤ 0.05 and FDR ≤0.2 were considered significant. Table S2. Comparison between the groups. Concentration of the soluble MUC1 in bronchial wash with p-value and FDR value. p ≤ 0.05 and FDR ≤0.2 were considered significant. Table S3. Results of correlations between mucins, EGFRs, lung functions and smoking history. p ≤ 0.05 and FDR ≤0.2 were considered significant.
DOI: 10.6084/m9.figshare.12978497.v1
title: Additional file 1 of Smoking-associated increase in mucins 1 and 4 in human airways

description: Additional file 1: Figure S1. Immunohistochemical stainings performed with consecutive tissue. Sections were cut in consecutive order, and stained in carefully selected order. In Images A-B p63 and MUC1 staining from healthy current smoker is presented. Basal cells were detected with a specific antibody, p63, which stains nucleus in basal cells showing a dark brown staining (A). Positive MUC1 staining in the basal cells with the score of 285 (B). Cytosolic positivity of the basal cells was considered significant. Red arrows show the staining in the basal cells. In Images C-D AB-PAS and MUC4 stainings from healthy current smoker is presented. Goblet cells were detected with AB-PAS staining, in which goblet cells are stained in clear blue (C). Positive MUC4 staining in all cell types with scores of 300 (D). All the airway epithelial cells types are MUC4 positive, as well as the endothelial cells in small veins. Cytosolic positivity was considered significant. Thin black arrows in both C and D images show the goblet cells and green arrows point to the small veins. Table S1. Comparison between the groups. Scoring of the immunohistochemical stainings mucins and EGFRs with p-value and FDR value. p ≤ 0.05 and FDR ≤0.2 were considered significant. Table S2. Comparison between the groups. Concentration of the soluble MUC1 in bronchial wash with p-value and FDR value. p ≤ 0.05 and FDR ≤0.2 were considered significant. Table S3. Results of correlations between mucins, EGFRs, lung functions and smoking history. p ≤ 0.05 and FDR ≤0.2 were considered significant.
DOI: 10.6084/m9.figshare.12978534.v1
title: Additional file 2 of Extracellular vesicles from the apoplastic fungal wheat pathogen Zymoseptoria tritici

description: Additional file 2: Table S1. Metadata for EV samples/fungal cultures presented in Fig. 1 and Fig. 2. Table S2. List of proteins identified in ≥ 4/5 biological replicate samples of Z. tritici WAI332 EVs. Table S3. List of proteins identified in ≥ 2/3 SS samples, with at least 2 unique peptides detected using LC–MS/MS. Proteins found in the SS samples and also in EVs are indicated. Table S4. List of Z. tritici WAI332 EV proteins predicted to be effectors by EffectorP. Proteins were included when predicted as effectors by both EffectorP v1.0 and v2.0. Table S5a. List of studies used to source fungal EV proteins to define orthogroups with Orthofinder. Table S5b. Summary of proteins used for Orthofinder analysis. Table S6. OrthoFinder output showing fungal EV proteins grouped by orthogroup (OG) and species. Uniprot-KB or ensembl protein names are followed by a species ‘code’ defined for Orthofinder. CAAL = C. albicans; CRNE = C. neoformans, FOTG = F. oxysporum f. sp. vasinfectum; HICA = H. capsulatum; PABR = P. brasiliensis; SACE = S. cerevisiae; ZYTR = Z. tritici. Table S7. List of proteins identified with ≥ 2 unique peptides in ≥ 4/5 cell lysate (CL) samples (n = 533). Table S8. Potential Z. tritici WAI332 homologues for C. albicans EV marker proteins defined by Dawson et al., (2020). Homologous proteins were identified using reciprocal blastp searches of marker proteins against predicted proteins encoded in the Z. tritici WAI332 genome. Table S9. This data was generated by Orthofinder (v 2.3.11), using EV proteins described in previous fungal EV studies. Protein sequences were downloaded from Uniprot or Ensembl fungi and duplicate sequences removed within each species. Information on the studies listed and the proteins from each species is shown in Table S5.
DOI: 10.6084/m9.figshare.12978540
title: Additional file 1 of Assessing the requirements of prenatal UBE3A expression for rescue of behavioral phenotypes in a mouse model for Angelman syndrome

description: Additional file 1: Table 1. Summary of the statistical tests used for the behavioral paradigms performed on each experimental group. Green cells indicate where a Greenhouse-Geisser correction was used in repeated ANOVAs when the assumption of sphericity was not met.
DOI: 10.6084/m9.figshare.12978534
title: Additional file 2 of Extracellular vesicles from the apoplastic fungal wheat pathogen Zymoseptoria tritici

description: Additional file 2: Table S1. Metadata for EV samples/fungal cultures presented in Fig. 1 and Fig. 2. Table S2. List of proteins identified in ≥ 4/5 biological replicate samples of Z. tritici WAI332 EVs. Table S3. List of proteins identified in ≥ 2/3 SS samples, with at least 2 unique peptides detected using LC–MS/MS. Proteins found in the SS samples and also in EVs are indicated. Table S4. List of Z. tritici WAI332 EV proteins predicted to be effectors by EffectorP. Proteins were included when predicted as effectors by both EffectorP v1.0 and v2.0. Table S5a. List of studies used to source fungal EV proteins to define orthogroups with Orthofinder. Table S5b. Summary of proteins used for Orthofinder analysis. Table S6. OrthoFinder output showing fungal EV proteins grouped by orthogroup (OG) and species. Uniprot-KB or ensembl protein names are followed by a species ‘code’ defined for Orthofinder. CAAL = C. albicans; CRNE = C. neoformans, FOTG = F. oxysporum f. sp. vasinfectum; HICA = H. capsulatum; PABR = P. brasiliensis; SACE = S. cerevisiae; ZYTR = Z. tritici. Table S7. List of proteins identified with ≥ 2 unique peptides in ≥ 4/5 cell lysate (CL) samples (n = 533). Table S8. Potential Z. tritici WAI332 homologues for C. albicans EV marker proteins defined by Dawson et al., (2020). Homologous proteins were identified using reciprocal blastp searches of marker proteins against predicted proteins encoded in the Z. tritici WAI332 genome. Table S9. This data was generated by Orthofinder (v 2.3.11), using EV proteins described in previous fungal EV studies. Protein sequences were downloaded from Uniprot or Ensembl fungi and duplicate sequences removed within each species. Information on the studies listed and the proteins from each species is shown in Table S5.
DOI: 10.6084/m9.figshare.12978540.v1
title: Additional file 1 of Assessing the requirements of prenatal UBE3A expression for rescue of behavioral phenotypes in a mouse model for Angelman syndrome

description: Additional file 1: Table 1. Summary of the statistical tests used for the behavioral paradigms performed on each experimental group. Green cells indicate where a Greenhouse-Geisser correction was used in repeated ANOVAs when the assumption of sphericity was not met.
DOI: 10.6084/m9.figshare.12978636
title: Additional file 1 of High-throughput screening identifies modulators of sarcospan that stabilize muscle cells and exhibit activity in the mouse model of Duchenne muscular dystrophy

description: Additional file 1: Table S1. Plate quality. Robust strictly standardized mean difference (SSMD*) was used to assess plate quality and for hit selection.
DOI: 10.6084/m9.figshare.12978636.v1
title: Additional file 1 of High-throughput screening identifies modulators of sarcospan that stabilize muscle cells and exhibit activity in the mouse model of Duchenne muscular dystrophy

description: Additional file 1: Table S1. Plate quality. Robust strictly standardized mean difference (SSMD*) was used to assess plate quality and for hit selection.
DOI: 10.6084/m9.figshare.12978657
title: Additional file 8 of High-throughput screening identifies modulators of sarcospan that stabilize muscle cells and exhibit activity in the mouse model of Duchenne muscular dystrophy

description: Additional file 8: Table S2. Half-life of 1 μM of OT-9 and PC1-36 in CD-1 mouse plasma.
DOI: 10.6084/m9.figshare.12978660
title: Additional file 9 of High-throughput screening identifies modulators of sarcospan that stabilize muscle cells and exhibit activity in the mouse model of Duchenne muscular dystrophy

description: Additional file 9: Table S3. Half-life of 1 μM of OT-9 and PC1-36 in PBS pH 7.4.
DOI: 10.6084/m9.figshare.12978660.v1
title: Additional file 9 of High-throughput screening identifies modulators of sarcospan that stabilize muscle cells and exhibit activity in the mouse model of Duchenne muscular dystrophy

description: Additional file 9: Table S3. Half-life of 1 μM of OT-9 and PC1-36 in PBS pH 7.4.
DOI: 10.6084/m9.figshare.12978657.v1
title: Additional file 8 of High-throughput screening identifies modulators of sarcospan that stabilize muscle cells and exhibit activity in the mouse model of Duchenne muscular dystrophy

description: Additional file 8: Table S2. Half-life of 1 μM of OT-9 and PC1-36 in CD-1 mouse plasma.
DOI: 10.6084/m9.figshare.12978704.v1
title: Additional file 1 of Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments

description: Additional file 1. Clinically annotated datasets and samples they contain.
DOI: 10.6084/m9.figshare.12978717
title: Additional file 2 of Genome scale analysis of pathogenic variants targetable for single base editing

description: Additional file 2. Code of the script.
DOI: 10.6084/m9.figshare.12978717.v1
title: Additional file 2 of Genome scale analysis of pathogenic variants targetable for single base editing

description: Additional file 2. Code of the script.
DOI: 10.6084/m9.figshare.12978714.v1
title: Additional file 1 of Genome scale analysis of pathogenic variants targetable for single base editing

description: Additional file 1. Table with the full list of all targetable pathogenic variants.
DOI: 10.6084/m9.figshare.12978714
title: Additional file 1 of Genome scale analysis of pathogenic variants targetable for single base editing

description: Additional file 1. Table with the full list of all targetable pathogenic variants.
DOI: 10.6084/m9.figshare.12978704
title: Additional file 1 of Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments

description: Additional file 1. Clinically annotated datasets and samples they contain.
DOI: 10.6084/m9.figshare.12978735.v1
title: Additional file 10 of Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis

description: Additional file 10: Table S8. Full table of all tested peptides with essential results from each test and whether they passed or failed the tests.
DOI: 10.6084/m9.figshare.12978747.v1
title: Additional file 1 of Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis

description: Additional file 1: Table S1. 133 proteins significantly changed (=/± 50%) between MS and Non-MS from CSF-PR. Quantified in minimum two studies, and changed in same direction in minimum two studies.
DOI: 10.6084/m9.figshare.12978735
title: Additional file 10 of Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis

description: Additional file 10: Table S8. Full table of all tested peptides with essential results from each test and whether they passed or failed the tests.
DOI: 10.6084/m9.figshare.12978747
title: Additional file 1 of Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis

description: Additional file 1: Table S1. 133 proteins significantly changed (=/± 50%) between MS and Non-MS from CSF-PR. Quantified in minimum two studies, and changed in same direction in minimum two studies.