cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b7s55a
title: Occurrence Download

description: A dataset containing 12111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Olea europaea subsp. europaea"
 ]
}

 The dataset includes 12111 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071326-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrtvsp
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Angraecum bicallosum H.Perrier"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003702-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lxypfm
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Octopus tetricus Gould, 1852",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 142 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026777-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7rr7s
title: Occurrence Download

description: A dataset containing 795800 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holcus lanatus L."
 ]
}

 The dataset includes 795800 records from 1061 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085438-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m0hetd
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Retrophyllum vitiense (Seem.) C.N.Page",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026269-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p1v0u1
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barisia planifrons (Bocourt, 1878)"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002837-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjjn6c
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Eleutherococcus wardii (W.W.Sm.) S.Y.Hu"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053382-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qaal1g
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Stangeria eriopus (Kunze) Baill.",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 206 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026278-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcv4yw
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Ficus vallis-choudae Delile"
 ]
}

 The dataset includes 107 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002837-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2w56h
title: Occurrence Download

description: A dataset containing 5317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoplostethus mediterraneus Cuvier, 1829"
 ]
}

 The dataset includes 5317 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050288-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2kkhw
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is United States of America",
 "Country is Australia",
 "Country is Brazil",
 "Country is Mexico",
 "Country is Argentina",
 "Country is India",
 "Country is Paraguay",
 "Country is Papua New Guinea",
 "Country is Costa Rica"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is ff90b050-c256-11db-b71b-b8a03c50a862",
 "TaxonKey is Crocodylidae"
 ]
}

 The dataset includes 222 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060043-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exklyn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 {
 "or" : [
 "Country is Panama",
 "Country is Costa Rica"
 ]
 },
 "Geometry POLYGON ((-85.517578125 6.751896464843375, -85.517578125 11.39387923296741, -77.255859375 11.39387923296741, -77.255859375 6.751896464843375, -85.517578125 6.751896464843375))",
 "DatasetKey is Atlantic and Gulf Rapid Reef Assessment -Benthic (OBIS Australia)",
 "HasCoordinate is true",
 "TaxonKey is Agaricia lamarcki Milne Edwards & Haime, 1851",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002837-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qevc8x
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cleisostoma paniculatum (Ker Gawl.) Garay"
 ]
}

 The dataset includes 273 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053380-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7rvmy
title: Occurrence Download

description: A dataset containing 464132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex crispus L."
 ]
}

 The dataset includes 464132 records from 1217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108078-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7c5ax
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenophora tricuspidata (Fisch. ex Schult.) A.DC."
 ]
}

 The dataset includes 245 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001273-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj759m
title: Occurrence Download

description: A dataset containing 68022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sylvia cantillans (Pallas, 1764))",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)",
 "Year is greater than or equal to 1970",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 68022 records from 460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053379-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7f99zykg6w.1
title: the data for Evolving spiking neural network model for PM2.5 hourly concentration prediction based on seasonal differences: A case study on data from Beijing and Shanghai

description: The files Beijing pollution and Shanghai pollution contain air pollution data of Beijing and Shanghai respectively.
The "txt" file contains meteorological data.
545110, 583211, 583670 represents Beijing Capital International Airport, Shanghai Pudong Airport, and Hongqiao Airport respectively.
2017,2018,2019 represents the year.
DOI: 10.17632/djr93wwgj3.1
title: Bogaziçi University Smartphone Accelerometer Sensor Dataset

description: Mobile devices especially smartphones have gained high popularity and become a part of daily life in recent years. Smartphones have built-in motion sensors such as accelerometer, gyroscope and orientation sensors. Recent researches on smartphones show that behavioral biometrics can be obtained from the smartphone motion sensors. In this context, we develop an Android application that collects accelerometer sensor data while user playing a game. This application records all accelerometer data and touch event information while users touch the screen.  We perform two experiments and collect two different data using this application. In the first experiment, we collect data from 107 child users whose age vary from 4 to 11, and 100 adult users whose age are between 16 and 55. This dataset includes more than 11.000 taps data for child and adult users, in total. In the second experiment, data is collected from 60 female and 60 male users aged 17-57 for different activities like sitting and walking. There are more than 6.000 taps data for sitting and walking scenarios separately in the second dataset. We use popular Android smartphones in the experiments and they have all 100 Hz sampling rate. These data can be used for behavioral biometric analyses such as user age-group and gender detection, user identification and authentication or tap event detection.
DOI: 10.17632/9ssvhcmx4c.1
title:  Chinese atmospheric Pb isotopic signatures

description: Concentrations of Pb and Pb isotope ratios in PM2.5 in BTH, China
DOI: 10.17632/5bk8d95pcy.1
title: Real-world evidence on atopic dermatitis: Baseline characteristics and predictors of treatment choice in the TARGET-DERM cohort: Supplemental Files

description: Supplemental Figures for manuscript entitled "Real-world evidence on atopic dermatitis: Baseline characteristics and predictors of treatment choice in the TARGET-DERM cohort."
DOI: 10.6084/m9.figshare.13836668
title: Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary

description: Miminal data set for the manuscript "Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary"<br>
DOI: 10.6084/m9.figshare.13836668.v2
title: Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary

description: Miminal data set for the manuscript "Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary"<br>
DOI: 10.6084/m9.figshare.13836668.v1
title: Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary

description: Miminal data set for the manuscript "Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary"<br>
DOI: 10.17632/5kbzn5nv8x.1
title: Plasma proteomic biomarkers identify non-responders and reveal biological insights about the tumor microenvironment in melanoma patients after PD1 blockade

description: Most patients treated with immune checkpoint blockade (ICB) do not have durable treatment responses. Therefore, there is a critical need to identify early non-invasive biomarkers of response. We performed plasma proteomic analysis (>700 proteins) at three timepoints on 174 metastatic melanoma patients treated with ICB. We leverage independent training and testing cohorts to build a predictor of immunotherapy response that outperforms several tissue-based approaches. We found 217 differentially expressed proteins between ICB responders (R) and non-responders (NR), including a co-regulated module of proteins enriched in certain NR patients. By analyzing single-cell RNA-sequencing data of tumor biopsies from 32 patients, we dissected the relative contribution of cells in the tumor to proteins in circulation. The majority of proteins in the co-regulated NR module derived from tumor and myeloid cells. Amongst myeloid cells, we identified a subset of tumor-associated macrophages (TAMs) with a suppressive phenotype that expressed high levels of the co-regulated NR module, thus suggesting they are key drivers of non-response signatures. Together, our data demonstrates the utility of plasma proteomics in biomarker discovery and in understanding the biology of host response to tumors.
DOI: 10.17632/w2b89yr6x5.1
title: Carbon monoxide (CO) on Mars from ACS occultations (MY34-35)

description: Dataset for the publication "Climatology of the CO vertical distribution on Mars based on ACS TGO measurements"
by Fedorova et al.

Includes a list of orbits, and CO mixing ratio in ppm from ACS/TGO solar occultation observations for Martian years  34 and 35.

Data contain folders with the list of orbits and CO volume mixing ratio for each orbit of TGO where ACS had measurements.
CO data files are named "orbXXXXXX_NY_CO_NIR(MIR).txt",
where XXXXXX is the decimal orbit number,
Y is the occultation number in orbit.
DOI: 10.26188/19252103
title: First description of ventilation strategy-specific phenotypes involved in initiating preterm lung injury

description: Supplementary methods and results for the manuscript entitled First description of ventilation strategy-specific phenotypes involved in initiating preterm lung injury<b></b>
DOI: 10.26188/19252103.v1
title: First description of ventilation strategy-specific phenotypes involved in initiating preterm lung injury

description: Supplementary methods and results for the manuscript entitled First description of ventilation strategy-specific phenotypes involved in initiating preterm lung injury<b></b>
DOI: 10.25494/p6qg7k
title: North Central Coast: Aerial surveys and classification of San Francisco South Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS San Francisco South orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.5281/zenodo.6315226
title: Linear Kinematic Feature detected and tracked in sea-ice deformation simulationed by all models participating in the Sea Ice Rheology Experiment and from RGPS

description: Linear Kinematic Features (LKFs) detected and tracked in sea-ice deformation fields simulated by sea-ice models participating in the Sea Ice Rheology Experiment (SIREx), a model intercomparison project of the Forum of Arctic Modeling and Observational Synthesis (FAMOS). These data are the basis of the feature-based evaluation of sea-ice deformation in Hutter et al., Sea Ice Rheology Experiment (SIREx), Part II: Evaluating linear kinematic features in high-resolution sea-ice simulations, Journal of Geophysical Research: Oceans (2022). This paper also provides further details on the parameters of the LKF extraction. The LKF data sets in this archive are stored in a csv-files for each year (1997 and/or 2008), which use semi-colons as delimiters. Each row corresponds to a pixel that was identified as LKF and the following information for this pixels is stored: Start Year, Start Month, Start Day, End Year, End Month, End Day, LKF No., Parent LKF No., lon, lat, ind_x, ind_y, divergence rate, shear rate. All pixels belonging to the same LKF have the same LKF number. Tracked LKFs are linked by the parent LKF number, where "0" denotes LKFs that newly formed. Detailed information on all variables is provided in the additional notes.
description: Start Year, Start Month, Start Day -&gt; Start date of the time interval in which LKFs are detected End Year, End Month, End Day -&gt; End date of the time interval in which LKFs are detected LKF No. -&gt; each LKF in one winter has its unique identifier number that can be used to track the feature Parent LKF No. -&gt; LKF No. of the LKF from the previous time records, for that this LKF is a temporal continuation determined by the tracking algorithm. This entry can contain multiple numbers if the current LKF was formed from multiple LKFs. '0' is used as a fill value, if there is no parent LKF. ind_x,ind_y -&gt; Indexes of the LKF pixel in the subset of the original netcdf data covering of Arctic Ocean. The indexes can be used to index original netcdf files of the model output, due to the subsetting for some model runs, we recommend to use the lat/lon position instead. lon, lat -&gt; position of LKF pixel divergence and shear rate -&gt; The divergence and shear rate of RGPS deformation data at LKF pixel. The divergence rate can be used to distinguish leads and pressure ridges in the data-set, please see Hutter et al. (2019). Hutter, N., Zampieri, L. & Losch, M. Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm. Cryosphere 13, 627–645 (2019)
DOI: 10.5281/zenodo.6315225
title: Linear Kinematic Feature detected and tracked in sea-ice deformation simulationed by all models participating in the Sea Ice Rheology Experiment and from RGPS

description: Linear Kinematic Features (LKFs) detected and tracked in sea-ice deformation fields simulated by sea-ice models participating in the Sea Ice Rheology Experiment (SIREx), a model intercomparison project of the Forum of Arctic Modeling and Observational Synthesis (FAMOS). These data are the basis of the feature-based evaluation of sea-ice deformation in Hutter et al., Sea Ice Rheology Experiment (SIREx), Part II: Evaluating linear kinematic features in high-resolution sea-ice simulations, Journal of Geophysical Research: Oceans (2022). This paper also provides further details on the parameters of the LKF extraction. The LKF data sets in this archive are stored in a csv-files for each year (1997 and/or 2008), which use semi-colons as delimiters. Each row corresponds to a pixel that was identified as LKF and the following information for this pixels is stored: Start Year, Start Month, Start Day, End Year, End Month, End Day, LKF No., Parent LKF No., lon, lat, ind_x, ind_y, divergence rate, shear rate. All pixels belonging to the same LKF have the same LKF number. Tracked LKFs are linked by the parent LKF number, where "0" denotes LKFs that newly formed. Detailed information on all variables is provided in the additional notes.
description: Start Year, Start Month, Start Day -&gt; Start date of the time interval in which LKFs are detected End Year, End Month, End Day -&gt; End date of the time interval in which LKFs are detected LKF No. -&gt; each LKF in one winter has its unique identifier number that can be used to track the feature Parent LKF No. -&gt; LKF No. of the LKF from the previous time records, for that this LKF is a temporal continuation determined by the tracking algorithm. This entry can contain multiple numbers if the current LKF was formed from multiple LKFs. '0' is used as a fill value, if there is no parent LKF. ind_x,ind_y -&gt; Indexes of the LKF pixel in the subset of the original netcdf data covering of Arctic Ocean. The indexes can be used to index original netcdf files of the model output, due to the subsetting for some model runs, we recommend to use the lat/lon position instead. lon, lat -&gt; position of LKF pixel divergence and shear rate -&gt; The divergence and shear rate of RGPS deformation data at LKF pixel. The divergence rate can be used to distinguish leads and pressure ridges in the data-set, please see Hutter et al. (2019). Hutter, N., Zampieri, L. & Losch, M. Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm. Cryosphere 13, 627–645 (2019)