cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13397651
title: REFERENCE DATASET: Expression of 97 surface markers and 462 mRNAs in 49057 cells from healthy young and healthy old bone marrow

description: Seurat v3 object <br> <strong>ASSAYS</strong>: AB: Antibody expression data RNA: mRNA expression data BOTH: mRNA and Antibody expression data, concatenated integrated: Antibody and mRNA expression matrices were concatenated and data was integrated across patients using scanorama <br> <strong>DIMENSIONALITY REDUCTION</strong> <strong>MOFAUMAP</strong>: UMAP performed on MOFA dimensions. Display used in the manuscript. Set reduction="MOFAUMAP"in most cases!<br> Projected MOFA: Multi-OMICS factor analysis to integrate AB and RNA data. MOFA was run on scanorama-integrated data and served as input for clustering and further dimensionality reduction. MOFATSNE: UMAP performed on MOFA dimensions.<br> <br> <strong>METADATA</strong> Batch: Source individual (BM1-3, Aged1-3). class: Type of individual (healthy young, healthy old). <br> <strong>Change log: </strong> v3: Compared to the previous version of this file, the 3 AML patients were removed. A new object with 15 AML patients has been created: https://doi.org/10.6084/m9.figshare.14780127.v1 v4: Objects were slimmed to correspond to the information described in our study. Data now only contains relevant dimensions reductions and metadata columns; unused RNA and antibody targets were excluded from the objects. <br>
DOI: 10.25824/redu/akitw0
title: base_1_noname.csv
DOI: 10.25824/redu/c8wi6e
title: base_6_noname.csv
DOI: 10.25824/redu/jfvud2
title: base_1_noname.csv
DOI: 10.25824/redu/sjemiu
title: base_5_noname.tab
DOI: 10.25824/redu/slheht
title: base_1_noname.xlsx
DOI: 10.25824/redu/ik8qev
title: base_3_noname.tab
DOI: 10.25824/redu/ccth38
title: base_4_noname.tab
DOI: 10.25824/redu/vxo4n6
title: base_7_noname.csv
DOI: 10.25824/redu/xsiaen
title: base_2_noname v2.xlsx
DOI: 10.25824/redu/phbpnw
title: base_6_noname.xlsx
DOI: 10.25824/redu/34ds0v
title: base_5_noname.xlsx
DOI: 10.25824/redu/hvuksc
title: base_7_noname.xlsx
DOI: 10.25824/redu/981qyi
title: base_4_noname.xlsx
DOI: 10.25824/redu/upf1r6
title: base_3__noname.csv
DOI: 10.25824/redu/p4xhi2
title: base_2_noname v2.csv
DOI: 10.25824/redu/jmz5ir
title: liberdade 01_01_2023 - 20_01_2023 No Duplicates-No_name.xlsx
DOI: 10.25824/redu/spbxdm
title: Arquivos pessoais e redes sociais: o twitter construído como documento histórico

description: Base de dados anonimizada extraída do Twitter para uso no artigo Arquivos pessoais e redes sociais: o twitter construído como documento histórico, publicado na Revista Estudos Históricos da CPDOC/FGV As bases_X_noname referem-se às coletas efetuadas durante o evento de janeiro e a base liberdade 01_01_2023 - 20_01_2023 No Duplicates-No_name às coletas posteriores. http://doi.org/10.1590/S2178-149420230204
DOI: 10.18112/openneuro.ds004590.v1.0.0
title: ds004590
DOI: 10.6084/m9.figshare.23284343
title: JDS4_FISH_LONGITUDINAL_OCCURRENCES_RIVER_DANUBE.xlsx

description: Standardised fish sampling was carried out in 2019 as part of the Joint Danube Survey 4 project to assess the occurrence of fish fauna along the entire length of the Danube River, excluding the delta. The current dataset contains 22 fish families, of which 21 belong to ray-finned fish and one to lampreys. In total, the dataset is composed of 77 taxa and 77,794 individuals of fish. The dataset will be especially relevant for future taxonomic comparisons of the River Danube with other rivers and for examining spatial and temporal fluctuations in species composition throughout the Danube profile.
DOI: 10.6084/m9.figshare.23284343.v1
title: JDS4_FISH_LONGITUDINAL_OCCURRENCES_RIVER_DANUBE.xlsx

description: Standardised fish sampling was carried out in 2019 as part of the Joint Danube Survey 4 project to assess the occurrence of fish fauna along the entire length of the Danube River, excluding the delta. The current dataset contains 22 fish families, of which 21 belong to ray-finned fish and one to lampreys. In total, the dataset is composed of 77 taxa and 77,794 individuals of fish. The dataset will be especially relevant for future taxonomic comparisons of the River Danube with other rivers and for examining spatial and temporal fluctuations in species composition throughout the Danube profile.
DOI: 10.5281/zenodo.7979318
title: Data for Demonstration of quantum-digital payments

description: Timetags that lead to coincidence count events in a 3ns window for Client and TTP.<br> For linear (commitment to M0) and diagonal (M1) basis. Format:<br> &lt;uint8 c&gt;\t&lt;double t&gt; c: channel on timetagger<br> t: photon arrival time in ns <br> TTP Channels:<br> 2: H<br> 3: V<br> 4: +<br> 5: - Client Channels:<br> 2: H / +<br> 4: V / - --------------<br> The files in folder "tagfile_example" are intended as input to the analysis scripts provided under DOI 10.5281/zenodo.7997961
DOI: 10.5281/zenodo.7997998
title: Data for Demonstration of quantum-digital payments

description: Timetags that lead to coincidence count events in a 3ns window for Client and TTP.<br> For linear (commitment to M0) and diagonal (M1) basis. Format:<br> &lt;uint8 c&gt;\t&lt;double t&gt; c: channel on timetagger<br> t: photon arrival time in ns <br> TTP Channels:<br> 2: H<br> 3: V<br> 4: +<br> 5: - Client Channels:<br> 2: H / +<br> 4: V / - --------------<br> The files in folder "tagfile_example" are intended as input to the analysis scripts provided under DOI 10.5281/zenodo.7997961
DOI: 10.14284/605
title: ADST-Shark: Unravelling the movement behaviour of starry smooth hound using ADST tags

description: In this field study the potential of Acoustic-Data-Storage-Tags (ADST) is tested using starry smooth hound (Mustelas asterias) as a model species. ADST tags are a novel product of Vemco -Innovasea combining acoustic tag technology with DST. In this study the movement behaviour of the species in the Southern North Sea is investigated.
DOI: 10.5281/zenodo.7994239
title: Seasonality and strain specificity drive rapid co-evolution in a Ostreococcus-virus system from the Western Baltic Sea

description: Marine viruses are a major driver of phytoplankton mortality and thereby influence biogeochemical cycling of carbon and other nutrients. Phytoplankton-targeting viruses are important components of ecosystem dynamics, but broad-scale experimental investigations of host-virus interactions remain scarce. Here, we investigated in detail a picophytoplankton (size 1 µm) host’s responses to infections by species-specific viruses from distinct geographical regions and different sampling seasons. Specifically, we used <em>Ostreococcus tauri </em>and<em> O. mediterraneus</em> and their viruses (size ca. 100 nm). <em>Ostreococcus</em> sp. are globally distributed and, like other picoplankton species, play an important role in coastal ecosystems at certain times of the year. Further,<em> Ostreococcus</em> sp. are model organisms, and the <em>Ostreococcus</em>-virus system is well-known in marine biology. However, only few studies have researched its evolutionary biology and the implications thereof for ecosystem dynamics. The <em>Ostreococcus</em> strains used here stem from different regions of the Southwestern Baltic Sea that vary in salinity and temperature and were obtained during several cruises spanning different sampling seasons. Using an experimental cross-infection set-up, we explicitly confirm species and strain specificity in <em>Ostreococcus</em> sp. from the Baltic Sea. Moreover, we found the timing of virus-host co-existence, was driver of infection patterns as well. In combination, these findings prove that host-virus co-evolution can be rapid in natural systems.
DOI: 10.5281/zenodo.7994238
title: Seasonality and strain specificity drive rapid co-evolution in a Ostreococcus-virus system from the Western Baltic Sea

description: Marine viruses are a major driver of phytoplankton mortality and thereby influence biogeochemical cycling of carbon and other nutrients. Phytoplankton-targeting viruses are important components of ecosystem dynamics, but broad-scale experimental investigations of host-virus interactions remain scarce. Here, we investigated in detail a picophytoplankton (size 1 µm) host’s responses to infections by species-specific viruses from distinct geographical regions and different sampling seasons. Specifically, we used <em>Ostreococcus tauri </em>and<em> O. mediterraneus</em> and their viruses (size ca. 100 nm). <em>Ostreococcus</em> sp. are globally distributed and, like other picoplankton species, play an important role in coastal ecosystems at certain times of the year. Further,<em> Ostreococcus</em> sp. are model organisms, and the <em>Ostreococcus</em>-virus system is well-known in marine biology. However, only few studies have researched its evolutionary biology and the implications thereof for ecosystem dynamics. The <em>Ostreococcus</em> strains used here stem from different regions of the Southwestern Baltic Sea that vary in salinity and temperature and were obtained during several cruises spanning different sampling seasons. Using an experimental cross-infection set-up, we explicitly confirm species and strain specificity in <em>Ostreococcus</em> sp. from the Baltic Sea. Moreover, we found the timing of virus-host co-existence, was driver of infection patterns as well. In combination, these findings prove that host-virus co-evolution can be rapid in natural systems.
DOI: 10.4121/c101c837-555a-4c2c-8290-69980f520bdd
title: Data underlying the publication: Asymmetric polyelectrolyte multilayer nanofiltration membranes: Structural characterisation via transport phenomena.

description: This dataset is meant as supplementary information to the publication: Junker, Moritz A., et al. "Asymmetric polyelectrolyte multilayer nanofiltration membranes: Structural characterisation via transport phenomena." Journal of Membrane Science 681 (2023): 121718.In this work, the fabrication and performance of asymmetric polyelectrolyte multilayer based nanofiltration membranes were analysed by a combination of experimental filtration studies and theoretical transport modeling. Experimental methods applied for membrane characterisation include pure water permeability, single salt retention, polyethylene glycol retention, and ternary ion retention. Additionally, polyelectrolyte multilayers were studied on a model surface via spectroscopic ellipsometry. Based on experimental results, different pore flow models were parametrised to describe and predict the filtration behaviour.The dataset contains all relevant data for the study. This includes experimental and theoretical results. More information on the specific files can be found within the README.txt file.
DOI: 10.4121/c101c837-555a-4c2c-8290-69980f520bdd.v1
title: Data underlying the publication: Asymmetric polyelectrolyte multilayer nanofiltration membranes: Structural characterisation via transport phenomena.

description: This dataset is meant as supplementary information to the publication: Junker, Moritz A., et al. "Asymmetric polyelectrolyte multilayer nanofiltration membranes: Structural characterisation via transport phenomena." Journal of Membrane Science 681 (2023): 121718.In this work, the fabrication and performance of asymmetric polyelectrolyte multilayer based nanofiltration membranes were analysed by a combination of experimental filtration studies and theoretical transport modeling. Experimental methods applied for membrane characterisation include pure water permeability, single salt retention, polyethylene glycol retention, and ternary ion retention. Additionally, polyelectrolyte multilayers were studied on a model surface via spectroscopic ellipsometry. Based on experimental results, different pore flow models were parametrised to describe and predict the filtration behaviour.The dataset contains all relevant data for the study. This includes experimental and theoretical results. More information on the specific files can be found within the README.txt file.
DOI: 10.15468/dl.c33xpw
title: Occurrence Download

description: A dataset containing 56305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Fossil)",
 "Country is Colombia",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 56305 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110115-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.948bxz
title: Occurrence Download

description: A dataset containing 6975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Litsea cubeba (Lour.) Pers.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6975 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110117-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9r4e3
title: Occurrence Download

description: A dataset containing 33678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Florisuga mellivora (Linnaeus, 1758)"
 ]
}

 The dataset includes 33678 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110118-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p57p68
title: Occurrence Download

description: A dataset containing 1084210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plegadis falcinellus (Linnaeus, 1766)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1084210 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110111-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yt5zky
title: Occurrence Download

description: A dataset containing 76814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lobularia maritima (L.) Desv.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 76814 records from 602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110119-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24235696
title: A unified and validated traffic dataset for 20 U.S. cities

description: <b>Update Notes</b><b>Mar 16 2024,</b> remove spaces in the file and folder names.<b>Mar 31 2024,</b> delete the underscore in the city names with a space (such as San Francisco) in the '02_TransCAD_results' folder to ensure correct data loading by TransCAD (software version: 9.0).<b>Aug 31 2024, </b>add<b> </b>the<b> </b>'cityname_link_LinkFlows.csv' file in the '02_TransCAD_results' folder to match the link from input data and the link from TransCAD results (LinkFlows) with the same Link_ID.<b>Introduction</b>This is a unified and validated traffic dataset for 20 US cities. There are 3 folders for each city.01 Input datathe initial network data obtained from OpenStreetMap (OSM)the visualization of the OSM dataprocessed node / link / od data02 TransCAD results (software version: 9.0)cityname.dbd : geographical network database of the city supported by<b> TransCAD (</b><b>version 9.0</b><b>)</b>cityname_link.shp / cityname_node.shp : network data supported by GIS software, which can be imported into TransCAD manually. Then the corresponding '.dbd' file can be generated for <b>TransCAD with a version </b><b>lower</b><b> than 9.0</b>od.mtx : OD matrix supported by TransCADLinkFlows.bin / LinkFlows.csv : traffic assignment results by TransCADcityname_link_LinkFlows.csv: the input link attributes with the traffic assignment results by TransCADShortestPath.mtx / ue_travel_time.csv : the traval time (min) between OD pairs by TransCAD03 AequilibraE results (software version: 0.9.3)cityname.shp : shapefile network data of the city support by QGIS or other GIS softwareod_demand.aem : OD matrix supported by AequilibraEnetwork.csv : the network file used for traffic assignment in AequilibraEassignment_result.csv : traffic assignment results by AequilibraE<b>Publication</b>Xu, X., Zheng, Z., Hu, Z. et al. (2024). A unified dataset for the city-scale traffic assignment model in 20 U.S. cities. Sci Data 11, 325. https://doi.org/10.1038/s41597-024-03149-8<b>Usage Notes</b>If you use this dataset in your research or any other work, please cite both the dataset and paper above.A brief introduction about how to use this dataset can be found in GitHub. More detailed illustration for compiling the traffic dataset on AequilibraE can be referred to GitHub code or Colab code.<b>Contact</b>If you have any inquiries, please contact Xiaotong Xu (email: kid-a.xu@connect.polyu.hk).<br><br>
DOI: 10.6084/m9.figshare.24235696.v3
title: A unified and validated traffic dataset for 20 U.S. cities

description: <b>Update Notes</b><b>Mar 16 2024,</b> remove spaces in the file and folder names.<b>Mar 31 2024,</b> delete the underscore in the city names with a space (such as San Francisco) in the '02_TransCAD_results' folder to ensure correct data loading by TransCAD (software version: 9.0).<b>Introduction</b>This is a unified and validated traffic dataset for 20 US cities. There are 3 folders for each city.01 Input datathe initial network data obtained from OpenStreetMap (OSM)the visualization of the OSM dataprocessed node / link / od data02 TransCAD results (software version: 9.0)cityname.dbd : geographical network database of the city supported by<b> TransCAD (</b><b>version 9.0</b><b>)</b>cityname_link.shp / cityname_node.shp : network data supported by GIS software, which can be imported into TransCAD manually. Then the corresponding '.dbd' file can be generated for <b>TransCAD with a version </b><b>lower</b><b> than 9.0</b>od.mtx : OD matrix supported by TransCADLinkFlows.bin / LinkFlows.csv : traffic assignment results by TransCADShortestPath.mtx / ue_travel_time.csv : the traval time (min) between OD pairs by TransCAD03 AequilibraE results (software version: 0.9.3)cityname.shp : shapefile network data of the city support by QGIS or other GIS softwareod_demand.aem : OD matrix supported by AequilibraEnetwork.csv : the network file used for traffic assignment in AequilibraEassignment_result.csv : traffic assignment results by AequilibraE<b>Publication</b>Xu, X., Zheng, Z., Hu, Z. et al. (2024). A unified dataset for the city-scale traffic assignment model in 20 U.S. cities. Sci Data 11, 325. https://doi.org/10.1038/s41597-024-03149-8<b>Usage Notes</b>If you use this dataset in your research or any other work, please cite both the dataset and paper above.A brief introduction about how to use this dataset can be found in GitHub. More detailed illustration for compiling the traffic dataset on AequilibraE can be referred to GitHub code or Colab code.<b>Contact</b>If you have any inquiries, please contact Xiaotong Xu (email: kid-a.xu@connect.polyu.hk).<br><br>
DOI: 10.6084/m9.figshare.26885410
title: <b>Why are tourists willing to wait longer for Disneyland?</b> <b>The positive effects of film narratives and destination brand love</b>

description: This article takes the newly opened Zootopia park at Shanghai Disneyland as the research background and adopts a positive view of the phenomenon that tourists are willing to spend more time waiting for Disneyland. Accordingly, a novel concept of "willingness to wait longer" is extracted. Through three questionnaire surveys, this paper explores the mechanisms how film narratives and article brand love affect tourists' willingness to wait longer. This research revealed that film narratives exhibit a sustained long-term transportation effect, significantly influencing tourists' willingness to wait longer at the theme park across various stages. Meanwhile, destination brand love exerts a varying impact on tourists' willingness to wait longer across different stages. Moreover, during the travel experience stage, flow experience plays a crucial mediating role. Furthermore, during both the travel decision-making and travel experience stages, the scene replication degree positively moderates the relationship between film narratives and tourists' willingness to wait longer.
DOI: 10.6084/m9.figshare.26885410.v1
title: <b>Why are tourists willing to wait longer for Disneyland?</b> <b>The positive effects of film narratives and destination brand love</b>

description: This article takes the newly opened Zootopia park at Shanghai Disneyland as the research background and adopts a positive view of the phenomenon that tourists are willing to spend more time waiting for Disneyland. Accordingly, a novel concept of "willingness to wait longer" is extracted. Through three questionnaire surveys, this paper explores the mechanisms how film narratives and article brand love affect tourists' willingness to wait longer. This research revealed that film narratives exhibit a sustained long-term transportation effect, significantly influencing tourists' willingness to wait longer at the theme park across various stages. Meanwhile, destination brand love exerts a varying impact on tourists' willingness to wait longer across different stages. Moreover, during the travel experience stage, flow experience plays a crucial mediating role. Furthermore, during both the travel decision-making and travel experience stages, the scene replication degree positively moderates the relationship between film narratives and tourists' willingness to wait longer.
DOI: 10.15468/dl.nr4h8d
title: Occurrence Download

description: A dataset containing 253887888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123.25423 25.76103,-101.93521 25.76103,-101.93521 46.63133,-123.25423 46.63133,-123.25423 25.76103))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 253887888 records from 2542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110116-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh3373225.08fu
title: SH3373225.08FU

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.