cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19064360
title: A time-series meta-transcriptomic analysis reveals the seasonal, host, and gender structure of mosquito viromes

description: The data sets and R code for the statistical tests and GLM analysis
DOI: 10.48420/16930768
title: Peer-to-Peer, Self-Consumption and Transactive Energy Literature Review Data Extraction Table

description: This document contains data extracted from 139 peer reviewed journal articles about peer-to-peer, community or collective self-consumption and transactive energy markets. The articles were identified through a systematic literature search. Full details of the search methodology are available in the methodology section of the following paper, published as pre-print on SSRN and available at http://dx.doi.org/10.2139/ssrn.3959620.<br>Data has been extracted from each paper about the market presented in the paper, and the businesses which act in that market. Data about the market has been extracted using a modified version of The Business Ecosystem Architecture Modelling (TEAM) framework. Data about the businesses in those markets was extracted using a modified version of the Business Model Canvas. The unit of analysis for data extracted using the TEAM framework was a market and the unit of analysis for data extracted using the Business Model Canvas was a business.
DOI: 10.48420/16930768.v1
title: Peer-to-Peer, Self-Consumption and Transactive Energy Literature Review Data Extraction Table

description: This document contains data extracted from 139 peer reviewed journal articles about peer-to-peer, community or collective self-consumption and transactive energy markets. The articles were identified through a systematic literature search. Full details of the search methodology are available in the methodology section of the following paper, published as pre-print on SSRN and available at http://dx.doi.org/10.2139/ssrn.3959620.<br>Data has been extracted from each paper about the market presented in the paper, and the businesses which act in that market. Data about the market has been extracted using a modified version of The Business Ecosystem Architecture Modelling (TEAM) framework. Data about the businesses in those markets was extracted using a modified version of the Business Model Canvas. The unit of analysis for data extracted using the TEAM framework was a market and the unit of analysis for data extracted using the Business Model Canvas was a business.
DOI: 10.6084/m9.figshare.19064441.v1
title: data_soma.xlsx

description: Dataset of the original.<br><br>
DOI: 10.5281/zenodo.5903189
title: Raw CyTOF images associated with Moldoveanu et al. 2022, Science Immunology

description: This dataset contains the raw CyTOF images associated with the paper "An In-depth Map of the Melanoma Immune Microenvironment and Correlates of Immunotherapy Response by Imaging Mass Cytometry" (Moldoveanu et al. 2022). The MCD files output by CyTOF IMC were exported to one TIFF per channel per sample. This dataset contains one directory per sample (see Supplementary Table S1 for additional information). Each directory contains 46 TIFF images, which includes the 35 channels used in our study, 1 TIFF of the cell segmentation mask, and 10 TIFFs associated with background or unused channels.
DOI: 10.5281/zenodo.5903219
title: Stormwater runoff pollution of an existing catchment consisting essentially of apartment buildings in Braunschweig/Germany.

description: This dataset includes stormwater runoff concentrations of pollutants (COD, TP, DP, NO<sub>3</sub>, NH<sub>4</sub>, TSS) taken from a sampling point in Braunschweig, Germany. The total catchment size is 5 ha with approximately 1.8 ha total imperviousness consisting essentially of apartment buildings from the 1970s and roads. This catchment was chosen for comparatively clear delimitation to different land uses considering location-independent results. Samples were taken as part of the research project TransMiT (https://www.transmit-zukunftsstadt.de/). More information including sampling and analytical methods are detailed in the corresponding journal paper "Dynamization of Urban Runoff Pollution and Quantity" and supplementary data, submitted to the MDPI-journal Water. Description of fields: - SamplingPoint:<br> - storm sewer: stormwater runoff sampled during individual rain events in a storm water sewer manhole receiving runoff from the entire catchment<br> - SamplingTime: time of sampling during individual rain event (CET)<br> - COD: measured value of chemical oxygen demand (COD)<br> - TP: measured value of total phosphorus (TP)<br> - DP: measured value of dissovled phosphorus (COD)<br> - NO<sub>3</sub>: measured value of nitrate (NO3)<br> - NH<sub>4</sub>: measured value of ammonium (NH4)<br> - TSS: measured value of total suspended solids (TSS)<br> - N/A: data not available<br> - UnitsAbbreviation: all data given in milligram per litre (mg/L) The data file is provided in comma separated format ("TransMiT.csv") and contains concentrations of all samples.
description: This research was funded by the Federal Ministry of Education and Research (BMBF) within the RES:Z call: Resource-optimized city of the future; research project Trans-MiT—Resource-optimized transformation of combined and separate drainage systems in exist-ing quarters with high population pressure, Subproject Stormwater quality, grant number 033W105B. Thanks to the Stadtentwässerung Braunschweig (SE|BS), the organization re-sponsible for wastewater collection and treatment in Braunschweig, and the city of Braunschweig for cooperation and access to stormwater systems.
DOI: 10.5281/zenodo.5903218
title: Stormwater runoff pollution of an existing catchment consisting essentially of apartment buildings in Braunschweig/Germany.

description: This dataset includes stormwater runoff concentrations of pollutants (COD, TP, DP, NO<sub>3</sub>, NH<sub>4</sub>, TSS) taken from a sampling point in Braunschweig, Germany. The total catchment size is 5 ha with approximately 1.8 ha total imperviousness consisting essentially of apartment buildings from the 1970s and roads. This catchment was chosen for comparatively clear delimitation to different land uses considering location-independent results. Samples were taken as part of the research project TransMiT (https://www.transmit-zukunftsstadt.de/). More information including sampling and analytical methods are detailed in the corresponding journal paper "Dynamization of Urban Runoff Pollution and Quantity" and supplementary data, submitted to the MDPI-journal Water. Description of fields: - SamplingPoint:<br> - storm sewer: stormwater runoff sampled during individual rain events in a storm water sewer manhole receiving runoff from the entire catchment<br> - SamplingTime: time of sampling during individual rain event (CET)<br> - COD: measured value of chemical oxygen demand (COD)<br> - TP: measured value of total phosphorus (TP)<br> - DP: measured value of dissovled phosphorus (COD)<br> - NO<sub>3</sub>: measured value of nitrate (NO3)<br> - NH<sub>4</sub>: measured value of ammonium (NH4)<br> - TSS: measured value of total suspended solids (TSS)<br> - N/A: data not available<br> - UnitsAbbreviation: all data given in milligram per litre (mg/L) The data file is provided in comma separated format ("TransMiT.csv") and contains concentrations of all samples.
description: This research was funded by the Federal Ministry of Education and Research (BMBF) within the RES:Z call: Resource-optimized city of the future; research project Trans-MiT—Resource-optimized transformation of combined and separate drainage systems in exist-ing quarters with high population pressure, Subproject Stormwater quality, grant number 033W105B. Thanks to the Stadtentwässerung Braunschweig (SE|BS), the organization re-sponsible for wastewater collection and treatment in Braunschweig, and the city of Braunschweig for cooperation and access to stormwater systems.
DOI: 10.25625/vossrz/xzdc09
title: filename_identity.xlsx

description: :unav
DOI: 10.25625/vossrz
title: fly metadata

description: maps experiment names in the data to experimental groups
DOI: 10.6084/m9.figshare.19064441.v2
title: data_soma.xlsx

description: Dataset of the original.<br><br>
DOI: 10.6084/m9.figshare.18393689
title: Bias-adjusted AGB and associated SD

description: Maps of Above-ground Biomass (AGB) at pantropical scale from four epochs adjusted for map bias. See Araza et al. 2022 for details.
DOI: 10.34740/kaggle/dsv/3053264
title: divvy trips data 20192020
DOI: 10.6084/m9.figshare.16952875
title: Mercurio et al., Tmem119 expression in TBI

description: Dataset from the work by Mercurio et al.<br>
DOI: 10.6084/m9.figshare.16952875.v1
title: Mercurio et al., Tmem119 expression in TBI

description: Dataset from the work by Mercurio et al.<br>
DOI: 10.5281/zenodo.5903287
title: Greek Text to Trajectories Sign Language Dataset

description: Entails the 2D human pose trajectories of Greek Elementary Sign Language Dataset and Greek News Sign Language Dataset (31681 examples).
DOI: 10.5281/zenodo.5810629
title: Greek Text to Trajectories Sign Language Dataset

description: Entails the 2D human pose trajectories of Greek Elementary Sign Language Dataset and Greek News Sign Language Dataset (31681 examples).
DOI: 10.5517/ccdc.csd.cc28h8jl
title: CCDC 2100049: Experimental Crystal Structure Determination

description: Related Article: Rui-Dong Wang, Liancheng He, Rong-Rong Zhu, Mingxuan Jia, Sihan Zhou, Jinsheng Tang, Wen-Qian Zhang, Lin Du, Qi-Hua Zhao|2021|J.Hazard.Mater.|427|127852|doi:10.1016/j.jhazmat.2021.127852
DOI: 10.6084/m9.figshare.13010549
title: Cotesia glomerata genome [MPM_Cglom_v2.0/v2.3]

description: Genome assembly data associated with, Pinto et al. (2021). A chromosome-level genome assembly of the parasitoid wasp, Cotesia glomerata (Hymenoptera: Braconidae). J Hered. https://doi.org/10.1093/jhered/esab032 <br>If you use these data in your work, please cite this paper.<br>UPDATE: MPM_Cglom_v2.3 has been made available on GenBank and re-annotated by RefSeq (available here: https://www.ncbi.nlm.nih.gov/genome/?term=txid32391[orgn] ). Files in this folder should be used sparingly and generally only to reproduce analyses from Pinto et al. 2021.<br>Version of the genome finally accepted by NCBI almost exactly the same as v2.0 with some trimmed adapters, etc:MPM_Cglom_v2.3.fasta.gz - final NCBI accepted genome assembly.MPM_Cglom_v2.3.gff3.gz - final NCBI accepted genome annotation.<br>MPM_Cglom_v2.3.transcripts.fa.gz - final NCBI accepted transcripts.<br>MPM_Cglom_v2.3.proteins.fa.gz - final NCBI accepted proteins.<br>MPM_Cglom_v2.0.hic.gz - post-3D-DNA whole genome HiC contact map for visualization in Juicebox.MPM_Cglom_v2.0.assembly.gz - assembly overlay of HiC contact map (.hic) for Juicebox visualization.MPM_Cglom_v2.0.fasta.gz - Final annotated genome assembly with soft repeatmasking.MPM_Cglom_v2.0.gff3.gz - gff3 gene annotation file paired with "MPM_Cglom_v2.0.fasta"MPM_Cglom_v2.0.fasta.mod.EDTA.intact.gff3.gz - repeat and TE annotation paired with "MPM_Cglom_v2.0.fasta"MPM_Cglom_v2.0.proteins.fa.gz - list of annotated protein sequences from genome annotation.MPM_Cglom_v2.0.transcripts.fa.gz - list of annotated transcript sequences from genome annotation.<br>Refer to README.txt file for more information regarding this repository.<br><br><br>
DOI: 10.6084/m9.figshare.13010549.v1
title: Cotesia glomerata genome [MPM_Cglom_v2.0]

description: Genome assembly data associated with, Pinto et al. (2021). A chromosome-level genome assembly of the parasitoid wasp, Cotesia glomerata (Hymenoptera: Braconidae). J Hered. https://doi.org/10.1093/jhered/esab032 <br>If you use these data in your work, please cite this paper.<br>MPM_Cglom_v2.0.hic.gz - post-3D-DNA whole genome HiC contact map for visualization in Juicebox.MPM_Cglom_v2.0.assembly.gz - assembly overlay of HiC contact map (.hic) for Juicebox visualization.MPM_Cglom_v2.0.fasta.gz - Final annotated genome assembly with soft repeatmasking.MPM_Cglom_v2.0.gff3.gz - gff3 gene annotation file paired with "MPM_Cglom_v2.0.fasta"MPM_Cglom_v2.0.fasta.mod.EDTA.intact.gff3.gz - repeat and TE annotation paired with "MPM_Cglom_v2.0.fasta"MPM_Cglom_v2.0.proteins.fa.gz - list of annotated protein sequences from genome annotation.MPM_Cglom_v2.0.transcripts.fa.gz - list of annotated transcript sequences from genome annotation.<br><br>Refer to README.txt file for more information regarding this repository.
DOI: 10.6073/pasta/a72fb7541105b371ee4769c7f9da5004
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Bird Abundance

description: These data describe annual estimates of bird density collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. The abundance of birds is determined from twenty plots spread across each wetland.
DOI: 10.6073/pasta/66947224ba27c6b2125e0b9cdde4b7c0
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Bird Feeding Activity

description: These data describe annual estimates of shorebird bird feeding activity, measured as the percentage of birds observed feeding, collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Point Mugu Lagoon in Ventura County. Bird feeding activity was estimated for twenty plots in each wetland having at least one targeted shorebird species present on the ground.
DOI: 10.20351/29sg20200929_ctd_ros_ladcp
title: CTD data, SUMMER Cruise, RV Sarmiento de Gamboa 

description: Water column data from 23 CTDs acquired on board the RV Sarmiento de Gamboa with a SeaBird SBE911 plus CTD, rosette and LADCP during SUMMER cruise
DOI: 10.6073/pasta/9dde36c2c8361ed49da104d6d8c89803
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Fish Abundance

description: These data describe annual estimates of the density of fish in main channel and tidal creek habitats collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. The abundance of fish is determined using beach seine and enclosure trap sampling at six main channel and six tidal creek locations at each wetland. Both seine and enclosure trap sampling consist of several hauls through an enclosed volume of water. Sampling is conducted annually in early fall.
DOI: 10.6084/m9.figshare.19064585
title: Embioptera COI K2P

description: The number of base substitutions per site from between sequences are shown. Analyses were conducted using the Kimura 2-parameter model. This analysis involved 160 nucleotide sequences.
DOI: 10.6084/m9.figshare.19064585.v1
title: Embioptera COI K2P

description: The number of base substitutions per site from between sequences are shown. Analyses were conducted using the Kimura 2-parameter model. This analysis involved 160 nucleotide sequences.
DOI: 10.5519/qd.d6epj1ib
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (132 records)
DOI: 10.5281/zenodo.5813321
title: Data set for "Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas"

description: Data set for: Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. https://doi.org/10.3389/fnana.2021.791015 There are 2 files in this upload: 1. The file named "<strong>2022_Liu_FrontNeuroanat.pdf</strong>" is the Open Access pdf of the online publication in Frontiers in Neuroanatomy. 2. The file named "<strong>Liu_data_code.zip</strong>" (~1 GB) is a zipped version of a folder ‘<em>Liu_data_code</em>’, which contains the data analyzed in the study along with the Python codes used to generate the published figures. The original high resolution image stacks obtained through whole-brain two-photon serial tomography are unfortunately too large for Zenodo, and only highly-downsampled data are included in this upload, which were used for registration with the Allen CCFv3. Instructions on how to view and analyse the anatomical data are provided in the 'README.docx' file, which you will find upon unzipping the folder.
description: {"references": ["Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. doi: 10.3389/fnana.2021.791015"]}
DOI: 10.5281/zenodo.5813320
title: Data set for "Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas"

description: Data set for: Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. https://doi.org/10.3389/fnana.2021.791015 There are 2 files in this upload: 1. The file named "<strong>2022_Liu_FrontNeuroanat.pdf</strong>" is the Open Access pdf of the online publication in Frontiers in Neuroanatomy. 2. The file named "<strong>Liu_data_code.zip</strong>" (~1 GB) is a zipped version of a folder ‘<em>Liu_data_code</em>’, which contains the data analyzed in the study along with the Python codes used to generate the published figures. The original high resolution image stacks obtained through whole-brain two-photon serial tomography are unfortunately too large for Zenodo, and only highly-downsampled data are included in this upload, which were used for registration with the Allen CCFv3. Instructions on how to view and analyse the anatomical data are provided in the 'README.docx' file, which you will find upon unzipping the folder.
description: {"references": ["Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. doi: 10.3389/fnana.2021.791015"]}
DOI: 10.6084/m9.figshare.18986876
title: Population estimates

description: This file contains for each country available in the database population estimates.
DOI: 10.6084/m9.figshare.18986876.v1
title: Population estimates

description: This file contains for each country available in the database population estimates.
DOI: 10.6084/m9.figshare.18986873
title: Metadata file

description: Pooled metadata set containing a sheet entitled "all" with the main characteristics of the data for proper international comparisons, such as the definition of deaths attributable to COVID-19, confirmation criteria, data coverage, co-variables, and the collection and publication patterns of each data source. Another sheet entitled "population" contains information on the data sources used to retrieve the data available in the data file "Population Estimates".<br>
DOI: 10.6084/m9.figshare.18986870
title: COVID-19 death counts by date of publication

description: Pooled data file containing COVID-19 cumulative death counts by date of publication for all countries covered by the database.
DOI: 10.6084/m9.figshare.18986870.v1
title: COVID-19 death counts by date of publication

description: Pooled data file containing COVID-19 cumulative death counts by date of publication for all countries covered by the database.
DOI: 10.6084/m9.figshare.18986867
title: COVID-19 death counts by date of occurrence of the deaths - 2020

description: A zipped folder containing a pooled data file per month in 2020. Each of these files contains COVID-19 cumulative death counts by date of occurrence of the deaths for all the countries covered in the database for which these data are available.
DOI: 10.6084/m9.figshare.18986864
title: COVID-19 death counts by place of deaths

description: Pooled data file containing COVID-19 cumulative death counts by place of death, for all the countries covered in the database for which data by place of death are available.
DOI: 10.6084/m9.figshare.18986861.v1
title: COVID-19 death counts by date of occurrence of the deaths – November 2021

description: Pooled data file containing COVID-19 cumulative death counts by date of occurrence of the deaths published in November 2021, for all the countries covered in the database for which these data are available.
DOI: 10.6084/m9.figshare.18986861
title: COVID-19 death counts by date of occurrence of the deaths – November 2021

description: Pooled data file containing COVID-19 cumulative death counts by date of occurrence of the deaths published in November 2021, for all the countries covered in the database for which these data are available.
DOI: 10.6084/m9.figshare.18986858.v1
title: COVID-19 death counts by date of occurrence of the deaths – 2021

description: A zipped folder containing a pooled data file per month from January to November 2021. Each of these files contains COVID-19 cumulative death counts by date of occurrence of the deaths for all the countries covered in the database for which these data are available.
DOI: 10.6084/m9.figshare.18986858
title: COVID-19 death counts by date of occurrence of the deaths – 2021

description: A zipped folder containing a pooled data file per month from January to November 2021. Each of these files contains COVID-19 cumulative death counts by date of occurrence of the deaths for all the countries covered in the database for which these data are available.
DOI: 10.6084/m9.figshare.18986855
title: COVID-19 death counts by age and sex

description: Pooled data file containing COVID-19 cumulative death counts by age and sex for all countries covered by the database.
DOI: 10.6084/m9.figshare.18986855.v1
title: COVID-19 death counts by age and sex

description: Pooled data file containing COVID-19 cumulative death counts by age and sex for all countries covered by the database.
DOI: 10.6084/m9.figshare.18986852
title: Codebook and Variables Description

description: A file containing the codebook of the "Metadata file" (sheet "all") and the description of the variables included in each dataset containing COVID-19 death counts.
DOI: 10.6084/m9.figshare.14798634
title: Data for Spatial differentiation of sediment organic matter isotopic composition and inferred sources in a temperate forest lake catchment

description: Data on soil and sediment organic matter elemental (C,N), stable isotope (C-13, N-15), and radiocarbon composition from a temperate forest lake catchment used to understand soil inputs to sediments, and spatial differentiation in sediment organic matter sources.<br>
DOI: 10.6084/m9.figshare.14798634.v2
title: Data for Spatial differentiation of sediment organic matter isotopic composition and inferred sources in a temperate forest lake catchment

description: Data on soil and sediment organic matter elemental (C,N), stable isotope (C-13, N-15), and radiocarbon composition from a temperate forest lake catchment used to understand soil inputs to sediments, and spatial differentiation in sediment organic matter sources.<br>