cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.m0cfxpp6x
title: Data from: Hydrodynamic analysis of bioinspired vortical cross-step filtration by computational modelling

description: Research on the suspension-feeding apparatus of fishes has led recently to
 the identification of novel filtration mechanisms involving vortices.
 Structures inside fish mouths form a series of ‘backward-facing steps’ by
 protruding medially into the mouth cavity. In paddlefish and basking shark
 mouths, porous gill rakers lie inside ‘slots’ between the protruding
 branchial arches. Vortical flows inside the slots of physical models have
 been shown to be important for the filtration process, but the complex
 flow patterns have not been visualized fully. Here we resolve the
 three-dimensional hydrodynamics by computational fluid dynamics simulation
 of a simplified mouth cavity including realistic flow dynamics at the
 porous layer. We developed and validated a modelling protocol in ANSYS
 Fluent software that combines a porous media model and permeability
 direction vector mapping. We found that vortex shape and confinement to
 the medial side of the gill rakers result from flow resistance by the
 porous gill raker surfaces. Anteriorly directed vortical flow shears the
 porous layer in the centre of slots. Flow patterns also indicate that slot
 entrances should remain unblocked, except for the posterior-most slot.
 This new modelling approach will enable future design exploration of
 fish-inspired filters.
description: This folder contains:<br><br>The CAD geometry input
 files in IGES format (size units in mm)<br>Full CFD domain:
 Geom_full_domain.igs<br>Only the cross-step filter:
 Geom_filter.igs<br><br>Fluent version 2019 R1 case and data
 files for the three cross-step models used in the
 publication:<br><br>(1) the original model:
 Fluent_2019R1_cross_step_01.cas/dat files<br>(2) the model with half
 the porous resistance: Fluent_2019R1_cross_step_02.cas/dat
 files<br>(3) the model without porous resistance:
 Fluent_2019R1_cross_step_03.cas/dat files<br><br>The
 user-defined function used to convert scalar gradients into direction
 vectors is given (C language; to be compiled in Ansys
 Fluent):<br>2046962_UDF_ID11.c<br><br>Fluent version
 2019 R1 case and data files for the porous media model verification - 36
 pore fragment versus porous media model under angle of attack of 30
 degrees<br><br>(1) model with physically modelled pores:
 Fluent_2019R1_filter_fragment_30degrees_physical_pores.cas/dat<br>(2) model using the porous media model: Fluent_2019R1_filter_fragment_30degrees_porous_media_model.cas/dat This information is also given as an 'README.txt' file.
description: Ansys Fluent 2019 R1 .cas and .dat files can be opened with Ansys
 Fluent 2019 R1 or later versions, or the results included in these files
 can be viewed with CFD-post 2019 R1 (Ansys) or later versions. CFD-post
 software included in 'Ansys Student' software can be used for
 this. This software is currently provided for free to run on Windows, and
 can be downloaded from
 https://www.ansys.com/academic/students/ansys-student
DOI: 10.5061/dryad.d51c5b067
title: Dataset from: A curated DNA barcode reference library for parasitoids of northern European cyclically outbreaking geometrid moths

description: Large areas of forests are annually damaged or destroyed by outbreaking
 insect pests. Understanding the factors that trigger and terminate such
 population eruptions has become crucially important, as plants,
 plant-feeding insects, and their natural enemies may respond
 differentially to the ongoing changes in the global climate. In
 northernmost Europe, climate-driven range expansions of the geometrid
 moths Epirrita autumnata and Operophtera
 brumata have resulted in overlapping and increasingly severe
 outbreaks. Delayed density-dependent responses of parasitoids are a
 plausible explanation for the ten-year population cycles of these moth
 species, but the impact of parasitoids on geometrid outbreak dynamics is
 unclear due to a lack of knowledge on the host ranges and prevalences of
 parasitoids attacking the moths in nature. To overcome these problems, we
 reviewed the literature on parasitism in the focal geometrid species in
 their outbreak range, and then constructed a DNA barcode reference library
 for all relevant parasitoid species based on reared specimens and
 sequences obtained from public databases. The combined parasitoid
 community of E. autumnata and O.
 brumata consists of 32 hymenopteran species, all of which can be
 reliably identified based on their barcode sequences. The curated barcode
 library presented here opens up new opportunities for estimating the
 abundance and community composition of parasitoids across populations and
 ecosystems based on mass barcoding and metabarcoding approaches. Such
 information can be used for elucidating the role of parasitoids in moth
 population control, possibly also for devising methods for reducing the
 extent, intensity, and duration of outbreaks.
description: Literature review of parasitoid
 communities Laboratory rearing of larvae and
 parasitoids DNA extraction
 PCR Sanger sequencing
 Sequence editing and alignment (Geneious Prime
 2020.1) Phylogeny reconstruction by a)
 midpoint-rooted Neighbor-joining based on Kimura 2-parameter distances
 (Mega X) and b) maximum-likelihood analysis (RAxML v.8) based on a GTR+G
 substitution model and separated codon positions 1+2 vs. 3
 Species delimitation analyses (bPTP)
DOI: 10.34740/kaggle/dsv/14650645
title: Higher Vocational Education Learning
DOI: 10.25338/b8s646
title: Depression among healthcare workers in Lusaka, Zambia during the COVID-19 pandemic

description: Objectives: We sought to assess depression among healthcare workers (HCWs)
 in the context of COVID-19 in Lusaka Province, Zambia.
 Design: This cross-sectional study is nested within the Person
 Centered Public Health for HIV Treatment in Zambia (PCPH), a
 cluster-randomized trial to assess HIV care and outcomes.
 Setting: The research was conducted in 24 government-run health
 facilities during 11 August – 15 October 2020 during the first wave of the
 COVID-19 epidemic in Lusaka, Zambia. Participants: We used
 convenience sampling to recruit HCW participants who were previously
 enrolled in the PCPH study, had more than 6 months of experience working
 at the facility and were voluntarily willing to participate. Primary
 outcome measures: We implemented the well-validated Patient
 Health Questionnaire (PHQ-9) to assess HCW depression. We used
 mixed-effects, adjusted Poisson regression to estimate the marginal
 probability of HCW experiencing depression that may warrant intervention
 (PHQ-9 score ≥5) by healthcare facility.
description: These data were collected across 24 study sites between 11 August
 2020 and 15 Ocotober 2020. All facilities were part of a large Gates
 Foundation funded patient-centered public health (PCPH) study described in
 detail elsewhere (1).
description: Data are in comma seperated value (csv) format which should be
 accessible to a vast variety of data viewers/editors.
DOI: 10.5061/dryad.05qfttf5t
title: The species coalescent indicates possible bat and pangolin origins of the COVID-19 pandemic

description: A consensus species tree is reconstructed from 11 gene trees for human,
 bat, and pangolin beta coronaviruses from samples taken early in the
 pandemic (prior to April 1, 2020). Using coalescent theory, the shallow
 (short branches relative to the hosts) consensus species tree provides
 evidence of recent gene flow events between bat and pangolin beta
 coronaviruses predating the zoonotic transfer to humans. The consensus
 species tree was also used to reconstruct the ancestral sequence of human
 SARS-CoV-2, which was 2 nucleotides different from the Wuhan sequence. The
 time to most recent common ancestor was estimated to be Dec 8, 2019, with
 a bat origin. Some human, bat, and pangolin coronavirus lineages found in
 China are phylogenetically distinct, a rare example of a class II
 phylogeography pattern (Avise et al. in Ann Rev Eco Syst 18:489–422,
 1987). The consensus species tree is a product of evolutionary factors,
 providing evidence of repeated zoonotic transfers between bat and pangolin
 as a reservoir for future zoonotic transfers to humans.
description: Archived closely related Beta-CoV genome sequences were accessed
 from NCBI GenBank “nucleotide” database. Nucleotide sequences for each
 gene were extracted based on the available gene annotation information.
 Additional 5 MERS-CoV sequences were collected from and assembled using
 IRMA ((iterative refinement meta-assembler)(32) with a customized built
 Coronavirus module. The virus annotation data is detailed in Supplementary
 data table S1, some sequences only contain one or some of the genes in
 SARS-CoV-2. These sequences were collected and analyzed together with the
 Beta-CoVs genomes accessed from GISAID. After removing duplicate records,
 our final analysis is based on 5249 sequences including 5209 isolates from
 humans, 19 isolates from pangolins, and 16 isolates from bats and 5
 MERS-CoV isolates. The sequence datasets for each of the 11 genes in
 SARS-CoV-2 and the full-genome sequence dataset were
 constructed.
DOI: 10.5061/dryad.fxpnvx0w3
title: Plant-associate interactions and diversification across trophic levels

description: Interactions between species are widely understood to have promoted the
 diversification of life on Earth, but how interactions spur the formation
 of new species remains unclear. Interacting species often become locally
 adapted to each other, but they may also be subject to shared dispersal
 limitations and environmental conditions. Moreover, theory predicts that
 different kinds of interactions have different effects on diversification.
 To better understand how species interactions promote diversification, we
 compiled population genetic studies of host plants and intimately
 associated herbivores, parasites, and mutualists. We used Bayesian
 multiple regressions and the BEDASSLE modeling framework to test whether
 host and associate population structures were correlated over and above
 the potentially confounding effects of geography and shared environmental
 variation. We found that associates' population structure often
 paralleled their hosts' population structure, and that this effect is
 robust to accounting for geographic distance and climate. Associate
 genetic structure was significantly explained by plant genetic structure
 somewhat more often in antagonistic interactions than in mutualistic ones.
 This aligns with a key prediction of coevolutionary theory, that
 antagonistic interactions promote diversity through local adaptation of
 antagonists to hosts, while mutualistic interactions more often promote
 diversity via the effect of hosts' geographic distribution on
 mutualists' dispersal.
description: Data were compiled from published papers describing population
 genetic structure in host plants and at least one herbivore, pathogen,
 parasite, or mutualist, sampled across the same geographic sites.
 Literature search parameters for included studies, data extraction and
 processing, and data analysis are described in the paper's
 Methods.
description: Data are provided as delimited text files, with R scripts for all
 analysis and visualization in the paper.
DOI: 10.5061/dryad.sf7m0cg92
title: Joint coding of visual input and eye/head position in V1 of freely moving mice dataset

description: Visual input during natural behavior is highly dependent on movements of
 the eyes and head, but how information about eye and head position is
 integrated with visual processing during free movement is unknown, since
 visual physiology is generally performed under head-fixation. To address
 this, we performed single-unit electrophysiology in V1 of freely moving
 mice while simultaneously measuring the mouse’s eye position, head
 orientation, and the visual scene from the mouse’s perspective. From these
 measures, we mapped spatiotemporal receptive fields during free movement
 based on the gaze-corrected visual input. Furthermore, we found a
 significant fraction of neurons tuned for eye and head position, and these
 signals were integrated with visual responses through a multiplicative
 mechanism in the majority of modulated neurons. These results provide new
 insight into coding in mouse V1, and more generally provide a paradigm for
 performing visual physiology under natural conditions, including active
 sensing and ethological behavior.
description: See https://github.com/nielllab/pytorchGLM/blob/main/Utils/io_dict_to_hdf5.py to load data in python. See https://www.hdfgroup.org/downloads/hdfview/ to view data directly.
DOI: 10.15468/dl.mkg38r
title: Occurrence Download

description: A dataset containing 570760953 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset includes 570760953 records from 19449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003099-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qk44v
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Algeria",
 "TaxonKey is Miniopterus schreibersii"
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009796-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhwj3t
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haastia sinclairii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 282 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009797-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j33kf3
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haeckeria cassiniiformis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 51 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009798-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18362792
title: Architectural Program and Functional Data for the 500-Bed University Hospital Project in Sétif (El Baz)
DOI: 10.5281/zenodo.18362791
title: Architectural Program and Functional Data for the 500-Bed University Hospital Project in Sétif (El Baz)
DOI: 10.15468/dl.eq3h8b
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haegiela tatei",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 101 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009800-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8djb2
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplocarpha lyrata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009801-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66h5ck
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haploesthes greggii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 229 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009802-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cptmpt
title: Occurrence Download

description: A dataset containing 66207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia esula",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66207 records from 633 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009787-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjb3a2
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplopappus glutinosus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 148 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009803-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apkyey
title: Occurrence Download

description: A dataset containing 123553 records in GBIF matching the query:
SELECT
 '334' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 28.773895969281842
 AND decimalLatitude &lt;= 33.06103686093294
 AND decimalLongitude &gt;= -100.19009778061415
 AND decimalLongitude &lt;= -92.0210150976321
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 123553 records were derived from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009799-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q34znw
title: Occurrence Download

description: A dataset containing 7576084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 7576084 records from 842 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009788-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24414/rob-euref-zada00hrv
title: GNSS data of ZADA00HRV, Zadar, Croatia

description: Permanent GNSS station dataset as daily RINEX files
DOI: 10.34740/kaggle/dsv/12816544
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17615307
title: Underwater images collected by a Kite surf in Le-Morne-Passe-Saint-Jacques, Mauritius - 2019-03-24

description: This dataset was collected by a Kite surf in Le-Morne-Passe-Saint-Jacques, Mauritius - 2019-03-24. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!