cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0859006.10fu
title: SH0859006.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0859007.10fu
title: SH0859007.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0859008.10fu
title: SH0859008.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0859009.10fu
title: SH0859009.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0859010.10fu
title: SH0859010.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.wwc4w8
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Macaulay Library Audio and Video Collection",
 "TaxonKey is Damon diadema (Simon, 1876)"
 ]
}

 The dataset includes 54 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021206-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/52ht2l/9r9bos
title: Sim_SPAZM-V2_corr_ReachLoop.dat

description: Débits journaliers simulés des différents tronçons composant le réseau hydrographique du bassin versant de l'Arvan à St Jean d'Arves pour la simulation SPAZM V2 corr.
DOI: 10.57745/52ht2l/auof46
title: Sim_SPAZM-V2_TimeLoop.dat

description: Sorties glacio-hydrologiques du modèle J2000 pour la simulation SPAZM V2 (exutoire de l'Arvan à St Jean d'Arves).
DOI: 10.57745/52ht2l/u6gqlm
title: Sim_SPAZM-V2_corr_TimeLoop.dat

description: Sorties glacio-hydrologiques du modèle J2000 pour la simulation SPAZM V2 corr (exutoire de l'Arvan à St Jean d'Arves).
DOI: 10.57745/52ht2l/wxyzl1
title: Sim_Arvan_SPAZM-V2_corr_ReachLoop.dat

description: Débits journaliers simulés des différents tronçons composant le réseau hydrographique du bassin versant de l'Arvan à St Jean d'Arves pour la simulation Arvan SPAZM V2 corr.
DOI: 10.57745/52ht2l/xociko
title: Sim_Arvan_SPAZM-V2_corr_TimeLoop.dat

description: Sorties glacio-hydrologiques du modèle J2000 pour la simulation Arvan SPAZM V2 corr (exutoire de l'Arvan à St Jean d'Arves).
DOI: 10.57745/52ht2l/4m7ecw
title: Sim_Arvan_SPAZM-V2_corr_ReachLoop.dat

description: Débits journaliers simulés des différents tronçons composant le réseau hydrographique du bassin versant de l'Arvan à St Jean d'Arves pour la simulation Arvan SPAZM V2 corr.
DOI: 10.57745/52ht2l/5yelfq
title: Sim_Arvan_SPAZM-V1_corr_TimeLoop.dat

description: Sorties glacio-hydrologiques du modèle J2000 pour la simulation Arvan SPAZM V1 corr (exutoire de l'Arvan à St Jean d'Arves).
DOI: 10.57745/52ht2l/9zgxjz
title: Sim_SPAZM-V2_TimeLoop.dat

description: Sorties glacio-hydrologiques du modèle J2000 pour la simulation SPAZM V2 (exutoire de l'Arvan à St Jean d'Arves).
DOI: 10.57745/52ht2l/hxxswm
title: Sim_SPAZM-V2_corr_ReachLoop.dat

description: Débits journaliers simulés des différents tronçons composant le réseau hydrographique du bassin versant de l'Arvan à St Jean d'Arves pour la simulation SPAZM V2 corr.
DOI: 10.57745/52ht2l/zkgho1
title: Sim_Arvan_SPAZM-V1_corr_ReachLoop.dat

description: Débits journaliers simulés des différents tronçons composant le réseau hydrographique du bassin versant de l'Arvan à St Jean d'Arves pour la simulation Arvan SPAZM V1 corr.
DOI: 10.57745/52ht2l/syklto
title: Sim_SPAZM-V2_ReachLoop.dat

description: Débits journaliers simulés des différents tronçons composant le réseau hydrographique du bassin versant de l'Arvan à St Jean d'Arves pour la simulation SPAZM V2.
DOI: 10.34740/kaggle/dsv/4211545
title: YouTube Daily
DOI: 10.5281/zenodo.7085354
title: Temperatura Mínima diària a la fase de maduració de la vinya al territori de la D.O. Penedès al llarg del segle XXI als escenaris de canvi climàtic RCP 8.5 i RCP4.5 (format SHP)

description: Arxius del shapefile (format SHP de Esri) amb la distribució espacial del valor mitjà de la temperatura mínima diària a la fase de maduració de la vinya al territori de la D.O. Penedès als escenaris de canvi climàtic RCP 8.5 i RCP4.5 projectat per a les dècades del segle XXI i el període Control (1972-2005). A més, un arxiu Word amb les metadades del shapefile.
DOI: 10.5281/zenodo.7085353
title: Temperatura Mínima diària a la fase de maduració de la vinya al territori de la D.O. Penedès al llarg del segle XXI als escenaris de canvi climàtic RCP 8.5 i RCP4.5 (format SHP)

description: Arxius del shapefile (format SHP de Esri) amb la distribució espacial del valor mitjà de la temperatura mínima diària a la fase de maduració de la vinya al territori de la D.O. Penedès als escenaris de canvi climàtic RCP 8.5 i RCP4.5 projectat per a les dècades del segle XXI i el període Control (1972-2005). A més, un arxiu Word amb les metadades del shapefile.
DOI: 10.5281/zenodo.7085319
title: Nombre de nits tropicals a la fase de maduració de la vinya al territori de la D.O. Penedès al llarg del segle XXI als escenaris de canvi climàtic RCP 8.5 i RCP4.5 (format SHP)

description: Arxius del shapefile (format SHP de Esri) amb la distribució espacial del valor mitjà del nombre de nits tropicals a la fase de maduració de la vinya del territori de la D.O. Penedès als escenaris de canvi climàtic RCP 8.5 i RCP4.5 projectat per a les dècades del segle XXI i el període Control (1972-2005). A més, un arxiu Word amb les metadades del shapefile.
DOI: 10.5281/zenodo.7085318
title: Nombre de nits tropicals a la fase de maduració de la vinya al territori de la D.O. Penedès al llarg del segle XXI als escenaris de canvi climàtic RCP 8.5 i RCP4.5 (format SHP)

description: Arxius del shapefile (format SHP de Esri) amb la distribució espacial del valor mitjà del nombre de nits tropicals a la fase de maduració de la vinya del territori de la D.O. Penedès als escenaris de canvi climàtic RCP 8.5 i RCP4.5 projectat per a les dècades del segle XXI i el període Control (1972-2005). A més, un arxiu Word amb les metadades del shapefile.
DOI: 10.5281/zenodo.3906821
title: Suplemental data for the article: Influence of envelope fluctuation on the lateralization of interaurally delayed low-frequency stimuli.

description: Original as well as derived data for the paper: Encke, Jörg, and Dietz Mathias (2021)
DOI: 10.57745/weunps/vsgjej
title: Flux_Guadeloupe_JGR_2022_Database.tab

description: Data file in ASCII format. Column descriptions are the two first lines. Comma as field separator, dot as decimal.
DOI: 10.57745/weunps/upird7
title: README.txt

description: Information on the data set
DOI: 10.5281/zenodo.7085383
title: Data de Verema de la vinya al territori de la D.O. Penedès al llarg del segle XXI als escenaris de canvi climàtic RCP 8.5 i RCP 4.5 (format SHP)

description: Arxius del shapefile (format SHP de Esri) amb la distribució espacial del valor mitjà de la data de verema la vinya al territori de la D.O. Penedès als escenaris de canvi climàtic RCP 8.5 i RCP4.5 projectat per a les dècades del segle XXI i el període Control (1972-2005). A més, un arxiu Word amb les metadades del shapefile.
DOI: 10.5281/zenodo.7085382
title: Data de Verema de la vinya al territori de la D.O. Penedès al llarg del segle XXI als escenaris de canvi climàtic RCP 8.5 i RCP 4.5 (format SHP)

description: Arxius del shapefile (format SHP de Esri) amb la distribució espacial del valor mitjà de la data de verema la vinya al territori de la D.O. Penedès als escenaris de canvi climàtic RCP 8.5 i RCP4.5 projectat per a les dècades del segle XXI i el període Control (1972-2005). A més, un arxiu Word amb les metadades del shapefile.
DOI: 10.34740/kaggle/dsv/4211594
title: 30 Foods having Very High Calories
DOI: 10.6084/m9.figshare.20711101.v2
title: Datasets for "Partitioning of sensible and latent heat fluxes in different vegetation types and their spatiotemporal variations based on 203 FLUXNET sites"

description: This repository is for the datasets and codes for "Partitioning of sensible and latent heat fluxes in different vegetation types and their spatiotemporal variations based on 203 FLUXNET sites". This dataset provides processed FLUXNET data and CLM5.0 simulation results, including sensible heat, latent heat, Bowen ratio, precipitation, temperature, albedo, etc. At present, this article has been submitted to JGR for review.
DOI: 10.21227/6d0z-z244
title: Simultaneous Data Acquisition for Increased Performance in Transit Time Difference Ultrasonic Flowmeters

description: Ultrasonic transit time difference meters are prevelent in industry due to their ease of use and lack of moving parts. But, They often suffer from a cross-sensitivity to the speed of sound in the fluid, which is dependent on the temperature. Other factors like changes in the flow profile or trigger jitter in the signal can also have a large impact on the accuracy to which measurements can be made. This dataset contains all of the original time-domain signals used to obtain figures 6, 7 and 8 in the article "Simultaneous Data Acquisition for Increased Performance in Transit Time Difference Ultrasonic Flowmeters". They show the importance of careful consideration of exactly how data is acquired in transit time difference flow metering. It is shown in the article that fluctuations in the measured time difference can, in some cases, be reduced by an order of magnitude by acquiring the upstream and downstream signals simultaneously rather than sequentially.
DOI: 10.6084/m9.figshare.6741422.v16
title: COCI CSV dataset of all the citation data

description: This dataset contains all the citation data (in CSV format) included in COCI, released on 31 August 2022. In particular, each line of the CSV file defines a citation, and includes the following information: <strong>[field "oci"]</strong> the Open Citation Identifier (OCI) for the citation; <strong>[field "citing"]</strong> the DOI of the citing entity; <strong>[field "cited"]</strong> the DOI of the cited entity; <strong>[field "creation"]</strong> the creation date of the citation (i.e. the publication date of the citing entity); <strong>[field "timespan"]</strong> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity); <strong>[field "journal_sc"]</strong> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal); <strong>[field "author_sc"]</strong> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<br> This version of the dataset contains: 1,363,718,366 citations; 75,030,924 bibliographic resources. The size of the zipped archive is 34.81 GB, while the size of the unzipped CSV file is 221.8 GB. <br> Additional information about COCI can be retrieved in the <sub>official webpage</sub>.<br>
DOI: 10.34943/f6c90714-c16b-42d2-8e4a-51c457d58826
title: Gold River Accelerometer Deployed 2022-03-23

description: The Nanometrics Titan SMA (S/N 001571) was deployed on 2022-03-23 at Gold River. Gold River is a community located on Vancouver Island in British Columbia. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.21954/ou.rd.19646784
title: Dataset: Impacts of Heterogeneous Chemistry on Vertical Profiles of Martian Ozone

description: Data used to plot figures in the paper "Impacts of Heterogeneous Chemistry on Vertical Profiles of Martian Ozone", by Brown et al. Observed Vertical Profiles Files labelled _profiles_ls0-180.dat are the vertical profile observations from the NOMAD spectrometer suite aboard the ExoMars Trace Gas Orbiter (TGO), which include the variable in parts per million by volume, the altitude, and solar longitude. Data are from Mars Year 35, Ls = 0 -180. NPH and SPH are the North and South Polar Hood respectively, and refer to observations &gt;45 N/S. For more information, the ozone, water ice, and water vapour data have been processed in the same way as described by Patel et al. (2021), Liuzzi et al. (2020), and Villaneuva et al. (under review) respectively. 1-D Model Netcdf files are outputted from the 1-D Mars Photochemical Model (1-D MPM), which is extracted from the Open University Mars Global Climate Model. The model is compiled with 70 vertical layers (sigma). File names are formatted by: <br> [run number]_[heterogeneous status]_[latitude]_[sol]_100.nc heterogeneous status: ihc = improved heterogeneous chemistry nhc = no heterogeneous chemistry The figures to compare between the original heterogeneous scheme, the one used in the paper and when the model is run without heterogeneous chemistry are given by s30_diagfi_[label].nc. The key for the [label] describes switch run it is: _noh2o2 = with new heterogeneous scheme, without the H2O2 heterogeneous reaction _old = the old heterogeneous scheme used in Lefevre et al. (2021) _nhc = no heterogeneous chemistry .nc (no label) = new heterogeneous scheme <br> <br>
DOI: 10.21954/ou.rd.19646784.v1
title: Dataset: Impacts of Heterogeneous Chemistry on Vertical Profiles of Martian Ozone

description: Data used to plot figures in the paper "Impacts of Heterogeneous Chemistry on Vertical Profiles of Martian Ozone", by Brown et al. Observed Vertical Profiles Files labelled _profiles_ls0-180.dat are the vertical profile observations from the NOMAD spectrometer suite aboard the ExoMars Trace Gas Orbiter (TGO), which include the variable in parts per million by volume, the altitude, and solar longitude. Data are from Mars Year 35, Ls = 0 -180. NPH and SPH are the North and South Polar Hood respectively, and refer to observations &gt;45 N/S. For more information, the ozone, water ice, and water vapour data have been processed in the same way as described by Patel et al. (2021), Liuzzi et al. (2020), and Villaneuva et al. (under review) respectively. 1-D Model Netcdf files are outputted from the 1-D Mars Photochemical Model (1-D MPM), which is extracted from the Open University Mars Global Climate Model. The model is compiled with 70 vertical layers (sigma). File names are formatted by: <br> [run number]_[heterogeneous status]_[latitude]_[sol]_100.nc heterogeneous status: ihc = improved heterogeneous chemistry nhc = no heterogeneous chemistry The figure to compare between the original heterogeneous scheme and the one used in the paper are given by s30_comp_lat0.nc and s30_het_lat0.nc respectively. <br>
DOI: 10.12751/g-node.25jp6z
title: Atlas and test images required for AIDAhisto

description: Contains mouse spinal cord and brain atlas files derived from the Allen Mouse Brain Atlas and test images required for processing immunostainings with AIDAhisto.
description: IsSupplementTo: Pallast N, Wieters F, Fink GR, Aswendt M. Atlas-based imaging data analysis tool for quantitative mouse brain histology (AIDAhisto). J Neurosci Methods. 2019 Oct 1;326:108394. doi: 10.1016/j.jneumeth.2019.108394. Epub 2019 Aug 12. PMID: 31415844. (https://doi.org/10.1016/j.jneumeth.2019.108394)
DOI: 10.5281/zenodo.7085453
title: Water vapor vertical distribution on Mars during perihelion season of MY 34 and MY 35 with ExoMars-TGO/NOMAD observations [Dataset]

description: 1. Description of methods used for collection/generation of data:<br> NOMAD SO channel acquires transmittance spectra at different diffraction orders sounding the limb of the Martian atmosphere in solar occultation. It uses an echelle grating with a density of ∼4 lines/mm in a litrow configuration. An Acousto-Optical Tunable Filter (AOTF) is used to select different spectral windows (with a width that varies from 20 to 35 cm−1). Each window corresponds to the desired diffraction order to be used during the atmospheric scan. The spectral resolution of the SO channel is λ/∆λ=20,000.<br> After spectral calibration, the inversion problem is solved by fitting the data with a forward model and the vertical profiles are obtained. 2. Methods for processing the data:<br> For the H2O inversion we use the Retrieval Control Program (RCP) developed at Institut für Meteoriologie und Klimaforschung (IMK), which incorporates the Karlsruhe Optimized and Precise Radiative transfer Algorithm (KOPRA) forward model. After providing an a priori, a first-guess and the measured spectra, RCP solves the inversion problem iteratively until the convergence of the solution. The IMK-IAA level-2 processor relies on multi-parameter non-linear least squares fitting of measured and modeled spectra (von Clarmann et al., 2003). Further information about RCP and the inversion problem can be found in (Jurado Navarro et al., 2016).<br> Retrievals of NOMAD diffraction orders 134 (3011-3035 cm−1) and 168 (3775-3805 cm−1) have been obtained and merged when collocated.
DOI: 10.5281/zenodo.7085557
title: 12 selected stations from NVE Hydra II for QDF analysis

description: Streamflow data, in cubic meters per second, and date in YYYMMDD/HHMM for twelve hydrologic gauging stations in Norway. Filename - station name: 35_2000013 - Sjodalsvatn 35_6000010 - Gryta 35_11000004 - Elgtjern 35_12000070 - Etna 35_16000066 - Grosettjern 35_19000079 - Gravå 35_55000004 - Røykenes 35_55000005 - Dyrdalsvatn 35_83000002 - Viksvatn 35_122000017 - Hugdal Bru 35_138000001 - Øyungen 35_206000003 - Manndalen Bru
DOI: 10.5281/zenodo.7085556
title: 12 selected stations from NVE Hydra II for QDF analysis

description: Streamflow data, in cubic meters per second, and date in YYYMMDD/HHMM for twelve hydrologic gauging stations in Norway. Filename - station name: 35_2000013 - Sjodalsvatn 35_6000010 - Gryta 35_11000004 - Elgtjern 35_12000070 - Etna 35_16000066 - Grosettjern 35_19000079 - Gravå 35_55000004 - Røykenes 35_55000005 - Dyrdalsvatn 35_83000002 - Viksvatn 35_122000017 - Hugdal Bru 35_138000001 - Øyungen 35_206000003 - Manndalen Bru