cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/8vka7i
title: Diverging roles of TRPV1 and TRPM2 in warm-temperature detection [data]

description: The accurate perception of innocuous temperatures, particularly those experienced as pleasantly warm, is essential for achieving thermal comfort and maintaining thermoregulatory balance. Warm-sensitive neurons (WSN) innervating the skin play a central role in non-painful warmth detection. The TRP ion channels TRPV1 and TRPM2 have been suggested as sensors of warm temperature in WSNs. However, the precise contribution of these channels to the process of warmth detection is not fully understood.
A significant challenge in analysing WSNs lies in their scarcity: fewer than 10 % of sensory neurons in the rodent dorsal root ganglion (DRG) respond to innocuous warm temperatures. In this study, we examined &gt;20,000 cultured mouse DRG neurons using calcium imaging and discovered distinct contributions of TRPV1 and TRPM2 to warm temperature sensitivity. TRPV1 and TRPM2 affect the abundance of WSNs, with TRPV1 mediating the rapid, dynamic response to warmth.
By carefully tracking animal movement in a whole-body thermal preference paradigm, we observe that these cellular differences correlate with nuanced thermal behaviours. Utilizing a driftdiffusion model to quantitatively analyse the decision-making process of animals exposed to different environmental temperatures, we found that: TRPV1 primarily impairs the precision of evidence accumulation, whereas TRPM2 significantly increases the total duration of exposure to uncomfortably warm environments.
Our findings provide valuable insights into the distinct molecular responses to warmth stimuli, and underpin the subtle aspects of thermal decision-making when encountering minor temperature variations.
DOI: 10.13026/czw8-9p62
title: VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients

description: In modern anesthesia, multiple medical devices are used simultaneously to
comprehensively monitor real-time vital signs to optimize patient care and
improve surgical outcomes. However, interpreting the dynamic changes of time-
series biosignals and their correlations is a difficult task even for
experienced anesthesiologists. Recent advanced machine learning technologies
have shown promising results in biosignal analysis, however, research and
development in this area is relatively slow due to the lack of biosignal
datasets for machine learning. The VitalDB (Vital Signs DataBase) is an open
dataset created specifically to facilitate machine learning studies related to
monitoring vital signs in surgical patients. This dataset contains high-
resolution multi-parameter data from 6,388 cases, including 486,451 waveform
and numeric data tracks of 196 intraoperative monitoring parameters, 73
perioperative clinical parameters, and 34 time-series laboratory result
parameters. All data is stored in the public cloud after anonymization. The
dataset can be freely accessed and analysed using application programming
interfaces and Python library. The VitalDB public dataset is expected to be a
valuable resource for biosignal research and development.
DOI: 10.13133/uniroma1/a1rmx1
title: Reconstructed trajectories of the MESSENGER spacecraft

description: This archive includes information regarding the reconstructed trajectories of the MESSENGER spacecraft.
DOI: 10.15151/esrf-es-893681585
title: Italian CryoEM Bag (ICB)

description: This BAG application builds on the development of single particle cryo-EM in the Italian Structural Biology community, as in Italy there is no top-end instrument available. The groups in this application have acquired know-how in cryo.EM through international collaborations or by acquiring medium-level in-house equipment. Access to the CM01 beamline at the ESRF has been instrumental for the achievement of high-profile scientific results and publications in top journals. Presently three screening microscopes are available in Italy, these instruments will boost sample production and the number of applications to CM01. Given these premises a BAG from Italian institutions could ensure timely data collection, nurturing the expansion of the field in Italy and a high-level scientific production.
DOI: 10.15468/dl.4u59r3
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cycas nathorstii J.Schust."
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025609-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17190/amf/1985451
title: AmeriFlux FLUXNET-1F US-xSB NEON Ordway-Swisher Biological Station (OSBS)

description: This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-xSB NEON Ordway-Swisher Biological Station (OSBS). This is the FLUXNET version of the carbon flux data for the site US-xSB NEON Ordway-Swisher Biological Station (OSBS) produced by applying the standard ONEFlux (1F) software. Site Description - The Ordway-Swisher Biological Station (OSBS) is operated by the University of Florida and comprises over 9,300 acres. It is a year-round field station established for the long-term study and conservation of unique ecosystems through management, research and education. The Station is located approximately 20 miles east of Gainesville in Melrose (Putnam County, Florida). There are two aquatic arrays at Ordway-Swisher, representing the two dominant aquatic features on the landscape: 1) Suggs lake, a shallow surface water lake that is rich in taxa and biologically active in structure and function; and 2) Barco lake, a deep lake connected to ground water. The forest is maintained by fire and has a relatively open structure: it is managed with prescribed burns at a frequency of 3-4 years.
DOI: 10.17190/amf/1985458
title: AmeriFlux FLUXNET-1F US-xUN NEON University of Notre Dame Environmental Research Center (UNDE)

description: This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-xUN NEON University of Notre Dame Environmental Research Center (UNDE). This is the FLUXNET version of the carbon flux data for the site US-xUN NEON University of Notre Dame Environmental Research Center (UNDE) produced by applying the standard ONEFlux (1F) software. Site Description - NEON's Domain 5 core site is located at the University of Notre Dame Environmental Research Center (UNDERC) East. Straddling the border between Northern Wisconsin and Michigan’s Upper Peninsula, the UNDERC property comprises approximately 7500 acres and is maintained as an environmental education and research facility. UNDERC also has 30 lakes comprising 1350 acres, including Crampton Lake, a NEON aquatics site. Region-wide logging for pine in the late 1800s and early to mid-1900's led to clear cutting of most forested areas on the property. The main parcel was donated to the University in the 1930s. Timber harvest continued into the 1950s and later, leaving a mixture of successional forest regrowth. Since the 1970s, the site has been minimally managed to maintain access for recreational, educational and research goals.
DOI: 10.17632/dpyzwbws6k.2
title: Reprocessed Mercury Laser Altimeter (MLA) profiles and a Digital Elevation Model (DEM)

description: The h5 file mla_reprs_77_90_0_360.h5 stores the reprocessed Mercury Laser Altimeter (MLA) profiles and the python script MLA_reprocessed_profiles_extration.py is the tool to extract the data as dictionaries of pandas dataframes. 

For the pandas dataframe for each of the profiles, there are a total of 12 columns. "et" is the laser pulse emission time; "chn" denotes the quality flag of the footprint; "tof" is the laser pulse time-of-flight; "offndr" is the off-nadir pointing angle in degree; "orbit" denotes the number of orbit; "spot_ix", "spot_iy", and "spot_iz" denote the inertial coordinates of the footprint in the International Celestial Reference Frame (ICRF) frame centered at the Center-of-Mass of Mercury; "spot_et" is the time of the laser pulse reflection on Mercury's surface; "spot_lat", "spot_lon", and "spot_radius" are the spherical coordinates of the footprint in the body-fixed frame of Mercury. 

Mla_reprocessed_self_reg_77_84_250m.tif is the digital elevation model (DEM) generated from self-registration of the reprocessed profiles, for the purposes of measuring the tidal deformation of Mercury. NoData is set to be -32768 in the metadata. 

Details of the techniques applied to obtain these data products can be found at Xiao, H., Stark, A., Steinbrügge, G. B., Briaud, A., Lara, L. M., & Gutiérrez, P. J. (2024). Mercury's tidal Love number h2 from co-registration of MLA profiles. Authorea Preprints. In Revision with Geophysical Research Letters.
DOI: 10.18128/d020.v7.5
title: Integrated Public Use Microdata Series, International: Version 7.5

description: IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. Historical census data are included in the collection, and the project has begun adding data from household and labor force surveys. All data are coded and documented consistently across countries and over time to facilitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.
DOI: 10.18140/flx/1669646
title: FLUXNET-CH4 JP-BBY Bibai bog

description: This is the FLUXNET-CH4 version of the carbon flux data for the site JP-BBY Bibai bog.
DOI: 10.18140/flx/1669649
title: FLUXNET-CH4 KR-CRK Cheorwon Rice paddy

description: This is the FLUXNET-CH4 version of the carbon flux data for the site KR-CRK Cheorwon Rice paddy.
DOI: 10.21415/t5911k
title: ASDBank Dutch Asymmetries Corpus
DOI: 10.25493/mtwf-x4v
title: Probabilistic cytoarchitectonic map of Area FG4 (FusG) (v7.2)

description: This dataset contains the distinct architectonic Area FG4 (FusG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area FG4 (FusG). The probability map of Area FG4 (FusG) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area FG4 (FusG): Lorenz et al. (2018) [Data set, v6.0] [DOI: 10.25493/6A73-MZS](https://doi.org/10.25493%2F6A73-MZS) Lorenz et al. (2019) [Data set, v6.1] [DOI: 10.25493/13RG-FYV](https://doi.org/10.25493%2F13RG-FYV) Lorenz et al. (2020) [Data set, v7.0] [DOI: 10.25493/5PSJ-ENT](https://doi.org/10.25493%2F5PSJ-ENT) The most probable delineation of Area FG4 (FusG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.48364/isimip.398165.1
title: ISIMIP3a Simulation Data from the Global Water Sector

description: This dataset contains ISIMIP3a (www.isimip.org, Frieler et al. 2023) simulation data from 9 global water models: CLASSIC (Melton et al. 2020), CWatM (Burek et al. 2020), ELM-ECA (Zhu et al. 2019), H08 (Hanasaki et al. 2017, Yoshida et al. 2021), HydroPy (Stacke et al. 2021), JULES-W2, JULES-W2-DDM30, MIROC-INTEG-LAND (Yokohata et al. 2020, Pokhrel et al. 2014, Takata et al. 2003), and WaterGAP2-2e (Müller Schmied et al. 2021).<br>The outputs are based on simulations according to the ISIMIP3a protocol (https://protocol.isimip.org). A more detailed description of the models are available on https://www.isimip.org.<br>Version 1.1 of this dataset adds data from ELM-ECA and additional variables for WaterGAP2-2e, and solves an issue with MIROC-INTEG-LAND (https://data.isimip.org/caveats/40/) .
DOI: 10.5066/p941xkst
title: Biogeochemical and source characteristics of preferential groundwater discharge in the Farmington River watershed (Connecticut and Massachusetts, 2017 - 2021)

description: We used spatial data from previously mapped preferential groundwater discharges throughout the Farmington River watershed in Connecticut and Massachusetts (https://doi.org/10.5066/P915E8JY) to guide water sample collection at known locations of groundwater discharging to surface water. In 2017 and 2019 - 2021, samples were collected during general river baseflow conditions (July ? November, less than 30.9 cms mean daily discharge (USGS gage 01189995, statistics 2010-2022) when the riverbank discharge points were exposed. We collected a suite of dissolved constituents and stable isotopes of water directly in the shallow saturated sediments of active points of discharge, and coincident stream chemical samples were also collected adjacent to locations of groundwater discharge. Data collected includes nutrients (NO3, NH4, Cl, SO4, PO4, dissolved organic carbon (DOC), and total nitrogen (TN)), greenhouse gases (CO2, CH4, and N2O), dissolved gases (N2, dissolved oxygen (DO)), conductivity, sediment characteristics, temperature, and spatial information. This dataset includes 2 main files: 1) Farmington_Chemistry_2017_2021.csv contains attribute information for each biogeochemical constituent collected at preferential groundwater discharges along the Farmington River network. 2)Farmington_Temporal_Cl_Rn_Iso_2020.csv contain attribute information for source characteristic data (Chloride, Radon, Isotope) collected at locations of repeat sampling at 5 groundwater seep faces along the Farmington River (Alsop and Rainbow Island).
DOI: 10.5067/a7s6xp56vzws
title: MERRA-2 inst6_3d_ana_Np: 3d,6-Hourly,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields V5.12.4
DOI: 10.5067/rfkiz5qy5abn
title: SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture, Version 2
DOI: 10.5281/zenodo.10247275
title: Van Allen Probes toroidal standing Alfvén wave frequencies

description: This dataset consists of files containing toroidal standing Alfvén wave frequencies at the Van Allen Probes (RBSP) spacecraft. The frequencies were determined for the fundamental (mode 1) thorough third (mode 3) harmonics using the method described by Takahashi et al. (2021). The files cover the RBSP mission period for which both the fluxgate magnetometer data and the spinfit electric field data are available.  Main programs used to generate the data files are also included.
DOI: 10.5281/zenodo.10273969
title: Multi-process driven unusually large equatorial perturbation electric fields during the  April 2023 geomagnetic storm

description: Dataset of the article entitled "Multi-process driven unusually large equatorial perturbation electric fields during the April 2023 geomagnetic storm" submitted to Frontiers in Astronomy and Space Sciences. The data include the outputs of simulations from the four empirical vertical drift models used in the article: Fejer and Scherliess (1997), Scherliess and Fejer (1999), Kelley and Retterer (2008), and Manoj and Maus (2012).
DOI: 10.5281/zenodo.12156765
title: ESA Cryo-TEMPO - Northern hemisphere land/ocean flag and distance to coast at resolution of 250 m.

description: Land/Ocean flag nd distance to coast at high spatial resolution (250m) in the northern hemisphere. The land/ocean flag is computed from merged Open Street Map and Natural Earth land polygons. The shapefiles were rasterized and reprojected to northern hemisphere using gdal. All land mass with the exception of Greenland are based on Open Street Map. Distance to coast was computed with gdal (gdal_proximity.py). 

The file format is netCDF-4 and the datafile contains two variables (land_ocean_flag & distance_to_coast). The coordinate reference system of the variables is defined by EPSG:6931 (WGS 84 / NSIDC EASE-Grid 2.0 North) and the bounds of the data set are supplied as xc and yc variables in the data file. 

The file is used in the ESA CryoSat-2 Thematic Products (Cryo-TEMPO) Polar Ocean and Sea Ice products in the northern hemisphere.
DOI: 10.5281/zenodo.12821195
title: Greenland Ice Sheet precipitation and surface temperature from CloudSat and ECMWF

description: This dataset contains code, data, and instructions for recreating the figures and analysis in Thompson-Munson et al. (submitted), "An Observational Constraint for Future Greenland Rainfall in a Warmer Atmosphere". Please see the readme for instructions and descriptions of the data and code.
DOI: 10.5281/zenodo.13891013
title: Saturn's magnetospheric proton and electron intensities from Cassini

description: Differential intensities of 3keV – 40MeV protons and 10eV – 10MeV electrons in Saturn’s magnetosphere and radiation belts at L-shell distances between 1 and 20 Saturn radii from mission-averages of the MIMI/LEMMS, MIMI/CHEMS, and CAPS/ELS instruments on the Cassini spacecraft that was in orbit between 2004 and 2017.
DOI: 10.5281/zenodo.14776071
title: Dataset for "Observational Characteristics of Electron Distributions in the Martian Induced Magnetotail"

description: This dataset is utilized in the manuscript titled "Observational Characteristics of Electron Distributions in the Martian Induced Magnetotail."

The list of current sheet crossings is provided in the .txt file.

The .mat file includes the complete dataset, containing information on pitch angle, energy, position, and solar wind conditions.
DOI: 10.5281/zenodo.14942111
title: Precise Characterization of the Presence and Fate of Plastic Oligomers in Water

description: These data were collected in the project "Precise Characterization of the Presence and Fate of Plastic Oligomers in Water." The source codes, along with a user manual, are available for scientific research purposes at https://github.com/FangLabNTU/Oligomer-Finder.
DOI: 10.5281/zenodo.14947934
title: Data for "Anyon braiding and telegraph noise in a graphene interferometer"

description: Repository containing all data sets and analysis codes for the main and supplementary figures of "Anyon braiding and telegraph noise in a graphene interferometer." 

Powerpoint files track data taken and notes recorded during measurement.
DOI: 10.5281/zenodo.15032394
title: Source Dataset for "Anomalous Transient Enhancement of Planetary Ion Escape at Mars"

description: This dataset contains the source data for the paper "Anomalous Transient Enhancement of Planetary Ion Escape at Mars".

Readers can use this data to reproduce all the figures presented in the paper.
DOI: 10.5281/zenodo.3592453
title: AgMIP's GGCMI Phase II: Crop model Emulators at 0.5 degree global resolution

description: GGCMI Phase II crop model polynomial emulator parameters. See https://www.geosci-model-dev.net/special_issue1062.html for more details. A0: no growing season adaptation. A1: with growing season adaptation.
DOI: 10.5281/zenodo.4595941
title: A Harmonized Global Land Evaporation Dataset from Model-based Products Covering 1980-2017

description: A long-term (1980-2017) land evaporation (E) product with a spatial resolution of 0.25 degree. This is a merged product from three model-based E products using the Reliability Ensemble Averaging (REA) method which minimizes errors. These include the fifth-generation ECMWF Re-Analysis (ERA5), the second Modern-Era Retrospective analysis for Research and Applications (MERRA2), and the Global Land Data Assimilation System (GLDAS). To facilitate user-friendly access and download the dataset is stored individually for each year in a separate file. These files contain daily and monthly mean data (e.g., REA_1980_day.nc and REA_1980_mon.nc). The dataset is stored in NetCDF format, containing the variable E, representing land evaporation, produced in millimeters (mm) as a unit. There are three dimensions included in the dataset: longitude, latitude, and time, with the longitude ranging from -179.875E to 179.875E, the latitude from -59.875N to 89.875N. Complete time coverage is from January 1, 1980, to December 31, 2017.
DOI: 10.5281/zenodo.4625300
title: Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI

description: This dataset contains a two-column CSV file, where the first column ("Valid_citing_DOI") contains the DOI of a citing entity retrieved in Crossref, while the second column ("Invalid_cited_DOI") contains the invalid DOI of a cited entity identified by looking at the field "reference" in the JSON document returned by querying the Crossref API with the citing DOI. These citations to invalid DOIs have been retrieved while processing Crossref data for adding open citations in COCI, the OpenCitations Index of Crossref open DOI-to-DOI citations. The citations listed in the present dataset have not been added in COCI since they point to a non-resolvable cited document.