cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.lcn3n2
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cedrela dugesii S.Watson"
 ]
}

 The dataset includes 150 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020387-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.628sqn
title: Occurrence Download

description: A dataset containing 5628 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Hawaii, United States (ver.2.0, 2022)"
 ]
}

 The dataset includes 5628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058229-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh5sgu
title: Occurrence Download

description: A dataset containing 346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus bungeana Zucc. ex Endl."
 ]
}

 The dataset includes 346 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033128-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjn6ib
title: Occurrence Download

description: A dataset containing 26859363 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 26859363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015870-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p2e6e
title: Occurrence Download

description: A dataset containing 187528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.73764 49.32887,13.82747 49.1989,13.72758 49.07027,13.7445 49.02063,13.85065 48.98812,14.1138 48.98694,14.22888 48.91816,14.15905 48.63481,14.2344 48.57953,14.55715 48.69045,14.678 48.8368,14.96341 48.86915,15.03932 48.99606,15.15674 49.04477,15.64337 49.0191,15.75566 48.87189,15.94171 48.82217,16.06358 48.69671,16.24961 48.76669,16.39088 48.77671,16.65549 48.72959,16.81001 48.65857,17.0419 48.66658,17.18841 48.77864,17.54626 48.84136,17.96646 49.08742,17.92753 49.1858,17.97035 49.31877,17.79628 49.37103,17.63908 49.47967,17.42319 49.47751,17.16831 49.60319,16.76139 49.6571,16.38737 49.65859,16.14933 49.60308,15.87434 49.75793,15.68521 49.64923,15.31042 49.597,15.13943 49.53328,14.52777 49.55787,14.29311 49.65547,14.04876 49.64981,13.71548 49.39983,13.73764 49.32887))",
 "IucnRedListCategory is one of (NE, LC, NT, VU, EN, CR)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 2000-2023"
 ]
}

 The dataset includes 187528 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057713-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgnbx8
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Grossander major (Gross, 1965))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041435-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5r1rb
title: Occurrence Download

description: A dataset containing 1085628 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fungal Records Database of Britain and Ireland"
 ]
}

 The dataset includes 1085628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015877-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm9t87
title: Occurrence Download

description: A dataset containing 1229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia iteaphylla F.Muell. ex Benth.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1229 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004266-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7hee2
title: Occurrence Download

description: A dataset containing 2708711 species occurrences available in GBIF matching the query:
{
 "GenusKey" : [
 "is Prunus L."
 ]
}

 The dataset includes 2708711 records from 4404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004270-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24432/c51w2x
title: Phishing Websites
DOI: 10.25914/5m47-s621
title: SkyMapper Southern Survey (SMSS) Data Release 4 (DR4)

description: The SkyMapper Southern Survey (SMSS) Fourth Data Release (DR4) will provide astronomical data from across the southern sky, covering from the South Celestial Pole to up to +28 deg in declination. DR4 will include fields observed between March 2014 and November 2022, using six optical filters (uvgriz), and with a number of quality cuts applied. Measurements from over 16 billion detections covering over 24,000 square degrees of sky will be available. They correspond to over 700 million unique astrophysical objects from AB magnitudes 8 to 22. This release will also include deep and large co-added sky tiles per filter in native resolution and PSF-homogenised resolution, as well as false-colour images of the entire hemisphere. Details of the DR4 data, processing, and analysis will be described on the SkyMapper website (http://skymapper.anu.edu.au/). IVOAcompliant table access protocol (TAP), cone search, and simple image access protocol (SIAP) services are also available from the SkyMapper website, as well as through tools such as TOPCAT.
DOI: 10.26188/23953200.v1
title: Wave-Coupled Effects on Oceanic Biogeochemistry: Insights from a Global Ocean Biogeochemical Model in the Southern Ocean [Dataset]

description: # Surface Wave Mixing Experiment Datasets<br># ## Overview# These datasets contain the outputs of experiments investigating the effects of surface wave mixing on ocean biogeochemistry. # The experiments were conducted by Chinglen Tensubam at the University of Melbourne.## These datasets were used to generate results and figures presented in the paper titled:# **Wave-Coupled Effects on Oceanic Biogeochemsitry:Insights from a Global Ocean Biogeochemical Model in the Southern Ocean**# by CM Tensubam et al. to the Journal of Earth and Space Science (ESS).### ## Datasets# There are a total of six datasets in this directory:## - `OCEAN_3D_NO_WAVES.nc`, `TOPAZ_3D_NO_WAVES.nc`, `TOPAZ_SFC_NO_WAVES.nc`: Outputs from the 'Without Waves Experiment'.# - `OCEAN_3D_WITH_WAVES.nc`, `TOPAZ_3D_WITH_WAVES.nc`, `TOPAZ_SFC_WITH_WAVES.nc`: Outputs from the 'With Waves Experiment'.## ### Dataset Contents# - `OCEAN_3D*.nc` datasets contain monthly 3D upper ocean variables: temperature, salt, u, v, and density.# - `TOPAZ_3D*.nc` datasets contain monthly 3D biogeochemical variables: Chlorophyll, nitrate, and phosphate.# - `TOPAZ_SFC*.nc` datasets contain surface nitrate, phosphate, dissolved iron, chlorophyll, sea surface temperature and mixed layer depth data from 2001 to 2018.## ## Citation# If you use these datasets in your work, please consider citing the paper and doi of the datasets:# **Wave-Coupled Effects on Oceanic Biogeochemistry:Insights from a Global Ocean Biogeochemical Model in the Southern Ocean** by CM Tensubam et al.# Journal: Journal of Earth and Space Science (ESS)# Paper DOI: To be updated# Dataset DOI: To be updated## For further details and inquiries, please contact [Chinglen Tensubam](mailto:ctensubam@student.unimelb.edu.au).# alternate email: chinglenforever@gmail.com:<br><br><br>
DOI: 10.5063/f12v2d1v
title: Winter and summer comparison of biological, chemical, and physical conditions in seasonally ice-covered lakes

description: The goal of this data collection was to compile diverse existing data in order to summarize and contrast ecologically relevant parameters in lakes during ice-on (winter) and ice-free (summer stratification) periods. There are 89 unique lakes in this dataset, ranging from small, shallow lakes to large, deep lakes. Lakes are from eleven different countries, primarily in North America and Europe; Antarctica is the only southern hemisphere location represented in the dataset. Variables collected include physical, chemical, and biological, as well as a suite of metadata variables. Chlorophyll a data are particularly well-represented across lakes, while many variables (e.g. zooplankton variables) are only available for a smaller subset of lakes. Temporal coverage for unique lake/sample stations range from one year to a span of 73 years, with 20 lake/stations having at least 30 years of data.

Synthesis analyses based on this dataset are available in: Hampton et al. (2016). Ecology under lake ice. Ecology Letters. doi: 10.1111/ele.12699. It must be stressed that the data here are not raw values from the original sampling, but aggregated values, based on varying initial sampling efforts and protocols, calculated by individual researchers. Please carefully review Supplemental Document S1 and the methods described in Hampton et al. (2016) for detailed information about how data were collected and aggregated, as well as units associated with each variable.
DOI: 10.5281/zenodo.10491362
title: A year in LES: Standardized daily high-resolution Large Eddy Simulations of the Arctic boundary layer and clouds during the MOSAiC drift [Model Configuration and results]

description: This dataset contains the model configuration files and selected output data of the large-eddy simulation experiments as described in the publication "A year in LES: Standardized daily high-resolution Large Eddy Simulations of the Arctic boundary layer and clouds during the MOSAiC drift" being submitted to Journal of Advances in Modeling Earth Systems (JAMES).

We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -- Projektnummer 268020496 -- TRR 172,  within the Transregional Collaborative Research Center ''ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC3) ''.Matthew D. Shupe was supported by the NOAA Global Ocean Monitoring and Observing Program (FundRef https://doi.org/10.13039/100018302), the Physical Sciences Laboratory (NA22OAR4320151), and a Mercator Fellowship with AC3.ERA5 data was downloaded from the Copernicus Climate Change Service (C3S) (2023). The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.We gratefully acknowledge the  Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for providing computing time on the GCS Supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects VIRTUALLAB and RCONGM. We furthermore thank the Regional Computing Center of the University of Cologne (RRZK) for providing computing time on the DFG-funded (Funding number: INST 216/512/1FUGG) High-Performance Computing (HPC) system CHEOPS as well as support.

This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID 1339.

Data used in this manuscript were produced as part of the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC (AWI_PS122_00}).

Radiation data was obtained from the Atmospheric Radiation Measurement (ARM) User Facility, a U.S. Department of Energy Office of Science User Facility managed by the Biological and Environmental Research Program.
DOI: 10.5281/zenodo.10959560
title: A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects

description: A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects | Nature Communications

 

Inference notebooks (usage of trained models to produce final submission) were run on Docker images available through Google's container registry: 






Rank



ImageDigest





1st Place



8ac7a063aca3e6bb70689a681b51a9974d456255f79ddf2723e3fefce7ef44be





2nd Place



29091414ae3b30c84c4374fdc879954e4f3ed7226b7753baae5fcd511d762d5f





3rd Place



8a151f075ccff2e272bcada1d6ae32f4f527fdd1aadcb710f25c2eb557e91d55





4th Place



2e7e3f1b87810248aa8129ce5d7e1d38bd89ae202cc59d29763625abc5bbaba8





5th Place



3ddeed23c2c0b927c3c80d676e0fe5babcff0c0e429aa1c445ff268897f1a087
DOI: 10.5281/zenodo.6393223
title: Planned behaviour in the COVID-19 context

description: This dataset contains information about the intentions of Spanish tourists to travel to destinations that have a low impact of COVID-19, their risk perceptions in times of uncertainty, and past behaviour.
DOI: 10.5439/1608608
title: ARM: ICERAD

description: prp
DOI: 10.5439/1647174
title: Large-scale continuous forcing data for SGP based on RAP analysis 201205-201901, 201903-201908

description: The ARM large-scale forcing data from the constrained variational analysis (VARANAL) version 2
DOI: 10.6084/m9.figshare.26585884
title: Supplementary datasets for the eLife manuscript "Genetic Stability of <i>Mycobacterium smegmatis</i> under the Stress of First-Line Antitubercular Agents: Assessing Mutagenic Potential"

description: The sustained success of <i>Mycobacterium tuberculosis</i> as a pathogen arises from its ability to persist within macrophages for extended periods and its limited responsiveness to antibiotics. Furthermore, the high incidence of resistance to the few available antituberculosis drugs is a significant concern, especially since the driving forces of the emergence of drug resistance are not clear. Drug-resistant strains of <i>Mycobacterium tuberculosis</i> can emerge through <i>de novo</i> mutations, however, mycobacterial mutation rates are low. To unravel the molecular mechanisms of antibiotic pressure on genetic variability and their impact on mycobacterial survival, we systematically explored the effects of current antibiotics on genome stability, DNA repair system activation, and the dNTP pool using <i>Mycobacterium smegmatis</i>. Whole-genome sequencing revealed no significant increase in mutation rates after prolonged exposure to first-line antibiotics. However, the phenotypic fluctuation assay indicated rapid adaptation to antibiotics, likely mediated by non-genetic factors. The upregulation of DNA repair genes measured using qPCR suggests that genomic integrity is maintained through the activation of specific DNA repair pathways. Our results, indicating that antibiotic exposure does not result in <i>de novo </i>adaptive mutagenesis under laboratory conditions, do not lend support to the model suggesting antibiotic resistance development through drug pressure-induced microevolution.
DOI: 10.6084/m9.figshare.27878034
title: Supplementary Material for: Association of the Brain White Matter Hyperintensity with the Cognitive Performance in Middle-Aged Population

description: Introduction: White matter hyperintensity (WMH) is typically classified into periventricular- and deep-WMH (PVWMH and DWMH) based on its proximity to the ventricles. While WMH volume has been associated with the cognitive performance and decline in patients with cerebral small vessel disease (cSVD), the relative contributions of PVWMH and DWMH to the cognitive profile of these patients remain unclear. Therefore, we aimed to determine the differences in association of PVWMH and DWMH with a battery of cognitive tests in a group of middle-aged population at risk for cardiovascular disease. 
Methods: Participants in the Genetic Study for Atherosclerosis Risk (GeneSTAR) who had a brain MRI, a cognitive battery, and were older than 50 years of age were studied. The relative association of PVWMH and DWMH with each of the cognitive measures was tested using multilevel linear regression models adjusting for age, intracranial volume, and cardiovascular risk factors. Adjustment for multiple comparisons was completed by using Benjamini-Hochberg procedure for the primary outcome and q-value of &lt; 0.1 was considered significant. Maximal likelihood estimation analysis was used to explore whether age moderated the difference in association of PVWMH and DWMH with the cognitive tests. 
Results: 435 participants (age 58.9±6.14 years, 58.38% women, and 39.54% black) were studied. We identified a greater association of PVWMH than DWMH with a worse performance on grooved peg board test (q-value=0.06) including the dominant (q-value=0.098) and non-dominant hand (q-value=0.098) performance as well as the delayed word recall test in its short form (q-value=0.098). Age did not moderate the differences in the association of PVWMH and DWMH with these cognitive tests. 
Conclusions: Our findings indicate a greater effect of PVWMH than DWHM on manipulative manual dexterity and delayed word recall functions suggesting potential injury of the white matter tracts that are relevant to these function by PVWMH. These findings need to be confirmed in future large prospective studies.
DOI: 10.24432/c5w593
title: Dota2 Games Results
DOI: 10.5281/zenodo.10888769
title: Dataset: Polarization-driven band topology evolution in twisted MoTe2 and WSe2
DOI: 10.6084/m9.figshare.27861840
title: Supplementary Material for: Botulism: An overlooked cause of bulbar weakness in intensive care: A case report

description: Botulism is a rare but potentially life-threatening syndrome caused by botulinum neurotoxin. The classic presentation of botulism is the acute onset of bilateral cranial neuropathies associated with symmetric descending weakness. The antitoxin is the main therapeutic option for botulism, in addition to supportive care with intubation and mechanical ventilation when necessary. The outcome is usually favorable, with a slow but full neurological recovery. This case present a difficult diagnosis of the sporadic form of adult intestinal toxemia, with a delayed diagnosis. 
We report a 64-year-old patient who presented in a confused state with weakness in the limbs, bilateral ptosis and dysarthria. Because of disease progression with respiratory compromise, the patient was transferred to the intensive care unit (ICU) and intubated. The diagnosis of botulism was eventually confirmed in the stool 46 days after presentation. By the end of follow-up, the patient still received rehabilitation. The outcome was good, except for the concomitant neurodegenerative disorder with the need for institutionalization at a residential care center.
This case report illustrates the difficulties in diagnosing a patient with botulism in the ICU, especially if associated with comorbidities. Delayed diagnosis and misdiagnosis are common because of the rarity of the disease and overlapping signs and symptoms with other neurological diseases. Increasing the awareness of this disease is important to prevent mortality and morbidity.
DOI: 10.18112/openneuro.ds003192.v1.0.1
title: EuskalIBUR
DOI: 10.26180/25954768
title: Online Resource Learning Transfer.docx

description: This document reports analyses in support of Lintern, G., Kugler, P.N., & Motavalli, A. (2024). An Ecological Theory of Learning Transfer in Human Activity. <i>Theoretical Issues in Ergonomics Science, </i>https://doi: 10.1080/1463922X.2024.2365429.
DOI: 10.5281/zenodo.10782134
title: TWISTER_Catalogue_20240305

description: This is a catalogue which accompanies the manuscript entitled “Cluster-MMS simultaneous observations of Earth’s magnetosheath region in 2017-2021”, authored by: Costel Munteanu, Eliza Teodorescu, Marius Echim, et al., 2024. The manuscript, sent for publication to Earth and Space Science (ESS), describes the creation of a database of simultaneous Cluster-MMS observations of Earth’s magnetosheath (MSH). A systematic inspection of quicklook images from the respective missions, and a subsequent detailed investigation of in-situ magnetic field measurements from Cluster 4 (C4) and MMS 4 (M4) spacecraft, resulted in the identification of a number of 117 simultaneous MSH crossings.
DOI: 10.5281/zenodo.10849357
title: Data for the AGU journal submission 2023RS007925R

description: This file contains data required to reproduce plots in "Design and Characterization of the Engineering Model of the Spectrometer Onboard
LuSEE-Night" by Emi Tamura et al, which has been accepted for publication in Radio Science.
DOI: 10.5281/zenodo.13974204
title: Fault Traces Dataset for Zou and Fialko Earth and Space Sciences Manuscript

description: The 'xx_fault.dat' contains the linked fault traces of different regions (nz: Northern New Zealand; nv: Basin and Range Province; ca: Ventura County, California; np: Pennsylvania and Northern New Jersey); The 1st and 2nd columns are UTM coordinates; The 3rd column is the random number assigned for distinguishing each fault traces.

The 'xx_len.dat' contains the length of each fault trace in the corresponding regions, in km.

The other '.dat' files and the 'SunData.xls' contain the length of fractures from outcrop and lab data. All of them are frequency distribution, except the 'LaHouve_Villemin.dat' which is already in cumulative distribution. The unit of 'SunData.xls' is mm; for the two 'Bahat' datasets is cm; for the rest of the outcrop data is m.

The .m files are the codes for calculating cumulative length distribution, frequency density distribution, and fault connection.

 

 

For any questions please contact Xiaoyu Zou via x3zou@ucsd.edu
DOI: 10.5281/zenodo.3524917
title: International survey of the ECHOES project

description: International survey of the ECHOES project is a large survey dataset than contains responses from 31 countries: EU-28 (2018) + 3 countries. The dataset contains raw data in four different formats: dta, rdata, sav and xlsx. Codebook and survey questionnaire are included.
description: For inquiries, please contact the authors.