cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dh5n76ntkm.1
title: MDPM

description: We characterize the hydrological processes of a mountainous highway and its surrounding area under heavy rainfall using three arguments: surface runoff, groundwater, and solid matter. The study area is modeled as a network, abstracted into 4,706 nodes. The dataset comprises 47,060,001 rows and 10 columns. Column-wise, the first three columns correspond to the three arguments; columns 4 to 9 represent static data, including elevation, slope, NDVI, LAI, a slope-adjusted Curve Number (CN) value, and soil shear strength. The 10th column records rainfall intensity. Row-wise, the first row contains headers, and each subsequent block of 4,706 rows represents one iteration. With 10,000 iterations in total and a time interval of 1.5 seconds per iteration, the simulation covers approximately 4 hours of the rainfall process.
DOI: 10.17632/vp4nd3b6js
title: Serum and Nasal Fluids Proteomics dataset

description: This study was approved by the Ethics Committee on Scientific Research of the First Affiliated Hospital of Sun Yat-sen University (No. 2023-211), and written informed consent was obtained from all participants prior to surgery. NFs were collected using the Nasal Fluids Absorption Device (NFAD), which was developed in our laboratory. Cytokine levels of nasal fluids (NFs) and serum samples were analyzed using the Target 96 Inflammation panel from OLINK Proteomics® (Uppsala, Sweden).
DOI: 10.17632/vp4nd3b6js.2
title: Serum and Nasal Fluids Proteomics dataset

description: This study was approved by the Ethics Committee on Scientific Research of the First Affiliated Hospital of Sun Yat-sen University (No. 2023-211), and written informed consent was obtained from all participants prior to surgery. NFs were collected using the Nasal Fluids Absorption Device (NFAD), which was developed in our laboratory. Cytokine levels of nasal fluids (NFs) and serum samples were analyzed using the Target 96 Inflammation panel from OLINK Proteomics® (Uppsala, Sweden).
DOI: 10.15468/dl.u5epjw
title: Occurrence Download

description: A dataset containing 1722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((126.00919 34.61449,126.78171 34.61449,126.78171 35.22033,126.00919 35.22033,126.00919 34.61449))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anseriformes",
 "Year 2020-2026"
 ]
}

 The dataset includes 1722 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012299-260108223611665/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.31075306
title: Dataset 3

description: Each H5AD file contains cell position and gene expression. The pickle files have 2d arrays representing the contours of the glands selected for the study
DOI: 10.6084/m9.figshare.31075306.v1
title: Dataset 3

description: Each H5AD file contains cell position and gene expression. The pickle files have 2d arrays representing the contours of the glands selected for the study
DOI: 10.17632/pzspd8rmxs
title: Data for Discovery of stromatolite formation in post-impact hydrothermal lacustrine environments and its implication for early Earth

description: Raw data of the manuscript: " Discovery of stromatolite formation in post-impact hydrothermal lacustrine environments and its implication for early Earth”.
DOI: 10.17632/pzspd8rmxs.2
title: Data for Discovery of stromatolite formation in post-impact hydrothermal lacustrine environments and its implication for early Earth

description: Raw data of the manuscript: " Discovery of stromatolite formation in post-impact hydrothermal lacustrine environments and its implication for early Earth”.
DOI: 10.17632/fnpxrb7cst
title: MATLAB Scripts for Numerical Model Updating

description: This dataset contains two MATLAB scripts designed for model updating. A functional overview of each script is provided below:
input.mat:
Serves as the input layer for training the surrogate model. The input parameters encompass simulation results, experimental results, and update parameter values from both the current stage and the previous stage.
output.mat:
Serves as the output layer for training the surrogate model. The output parameters consist of the updated simulation results and the effectiveness of the update.
NeuralNetwork.m:
This function represents the trained surrogate model. Its input and output parameters correspond to the 'input.mat' and 'output.mat' files, respectively. When using this script, a main program can be pre-written to obtain part of the input parameters, and then combined with optimization algorithms to iteratively solve for the update parameters. The update parameters are selected based on the effectiveness of the output parameters.
Optimization.m:
This script transforms the model updating problem into a multi-objective parameter optimization problem using a genetic algorithm. It enables operations such as modifying, calibrating, running, and extracting results from the Finite Element (FE) model. It can be used to assess the twin fidelity between the real-time digital model and the physical model, thereby completing the model update.
DOI: 10.17632/fnpxrb7cst.1
title: MATLAB Scripts for Numerical Model Updating

description: This dataset contains two MATLAB scripts designed for model updating. A functional overview of each script is provided below:
input.mat:
Serves as the input layer for training the surrogate model. The input parameters encompass simulation results, experimental results, and update parameter values from both the current stage and the previous stage.
output.mat:
Serves as the output layer for training the surrogate model. The output parameters consist of the updated simulation results and the effectiveness of the update.
NeuralNetwork.m:
This function represents the trained surrogate model. Its input and output parameters correspond to the 'input.mat' and 'output.mat' files, respectively. When using this script, a main program can be pre-written to obtain part of the input parameters, and then combined with optimization algorithms to iteratively solve for the update parameters. The update parameters are selected based on the effectiveness of the output parameters.
Optimization.m:
This script transforms the model updating problem into a multi-objective parameter optimization problem using a genetic algorithm. It enables operations such as modifying, calibrating, running, and extracting results from the Finite Element (FE) model. It can be used to assess the twin fidelity between the real-time digital model and the physical model, thereby completing the model update.
DOI: 10.5281/zenodo.18260153
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18260154
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.17632/rdn4889sxv
title: Data for "Nanophase iron of new nano-lamella and zoned morphology discovered in a lunar meteorite"

description: Data for "Nanophase iron of new nano-lamella and zoned morphology discovered in a lunar meteorite".
DOI: 10.25573/serc.19213938
title: SMARTX Elevation Data_2016-2020

description: The Salt Marsh Accretion Response to Temperature Experiment (SMARTX) was conducted in the Kirkpatrick Marsh, part of the Smithsonian’s Global Change Research Wetland (GCReW). Six replicate transects within the Kirkpatrick Marsh, three in each of the dominant plant communities, were established in 2016. A heating gradient consisting of an ambient temperature plot and heated plots raised to +1.7, +3.4, and +5.1 °C above ambient temperatures was established along each transect. Soil surface elevations were tracked using surface elevation tables (SETs). SETs were installed in each plot to measure soil surface elevation. Elevation benchmarks were installed outside of the experimental plot in June 2016 by driving a series of stainless-steel rods through the entire soil profile to “refusal” (approximately 12.5 meters, but ranging from 6 to 13.5 meters) and then permanently anchored. SET benchmark vertical stability over time was assessed by periodically surveying them relative to each other with a Trimble S5 Total Station and no significant differences in elevation were found. Elevation measurements were collected from approximately 60 “pins” that are 4.5 mm apart and measure the distance from a parallel bar attached to the anchored benchmark to the ground surface, and recorded to the nearest millimeter. This resulted in high-precision measurements of soil surface elevations relative to the base of the benchmark. Measurements were taken every June, August, and January since warming began on June 1, 2016. In addition to this, measurements were taken more frequently (every two months from March 2019 to February 2020) to examine inter-annual variability in marsh elevation. To determine long term trends, marsh surface elevation was regressed against time for each individual SET pin resulting in approximately 60 estimates of linear elevation trends for each plot. Pin linear regressions across replicate plots (~180 linear regressions per treatment) were then averaged together to estimate the average long-term change in elevation at the treatment level. The data in this dataset represent the change in elevation between June 2016 and February 2020 at the pin-level on sheet "PinChange" and at the plot-level on sheet "PlotChange". Within the sheets, the column labeled “PlotLabel” represents the plant community, replication, and warming treatment respectively by the hundreds, tens, and ones place value. “4” and “3” in the hundreds place differentiates between the C<sub>4</sub> and C<sub>3</sub> plant communities. Numbers 1 through 6 in the tends place indicate the heating gradient replications. In the ones place, “0” represents ambient temperature treatments while “1”, “2”, and “3” represent elevated temperature treatments in ascending order.
DOI: 10.25573/serc.19213938.v1
title: SMARTX Elevation Data_2016-2020

description: The Salt Marsh Accretion Response to Temperature Experiment (SMARTX) was conducted in the Kirkpatrick Marsh, part of the Smithsonian’s Global Change Research Wetland (GCReW). Six replicate transects within the Kirkpatrick Marsh, three in each of the dominant plant communities, were established in 2016. A heating gradient consisting of an ambient temperature plot and heated plots raised to +1.7, +3.4, and +5.1 °C above ambient temperatures was established along each transect. Soil surface elevations were tracked using surface elevation tables (SETs). SETs were installed in each plot to measure soil surface elevation. Elevation benchmarks were installed outside of the experimental plot in June 2016 by driving a series of stainless-steel rods through the entire soil profile to “refusal” (approximately 12.5 meters, but ranging from 6 to 13.5 meters) and then permanently anchored. SET benchmark vertical stability over time was assessed by periodically surveying them relative to each other with a Trimble S5 Total Station and no significant differences in elevation were found. Elevation measurements were collected from approximately 60 “pins” that are 4.5 mm apart and measure the distance from a parallel bar attached to the anchored benchmark to the ground surface, and recorded to the nearest millimeter. This resulted in high-precision measurements of soil surface elevations relative to the base of the benchmark. Measurements were taken every June, August, and January since warming began on June 1, 2016. In addition to this, measurements were taken more frequently (every two months from March 2019 to February 2020) to examine inter-annual variability in marsh elevation. To determine long term trends, marsh surface elevation was regressed against time for each individual SET pin resulting in approximately 60 estimates of linear elevation trends for each plot. Pin linear regressions across replicate plots (~180 linear regressions per treatment) were then averaged together to estimate the average long-term change in elevation at the treatment level. The data in this dataset represent the change in elevation between June 2016 and February 2020 at the pin-level on sheet "PinChange" and at the plot-level on sheet "PlotChange". Within the sheets, the column labeled “PlotLabel” represents the plant community, replication, and warming treatment respectively by the hundreds, tens, and ones place value. “4” and “3” in the hundreds place differentiates between the C<sub>4</sub> and C<sub>3</sub> plant communities. Numbers 1 through 6 in the tends place indicate the heating gradient replications. In the ones place, “0” represents ambient temperature treatments while “1”, “2”, and “3” represent elevated temperature treatments in ascending order.
DOI: 10.25573/serc.19213938.v2
title: SMARTX Elevation Data_2016-2020

description: The Salt Marsh Accretion Response to Temperature Experiment (SMARTX) was conducted in the Kirkpatrick Marsh, part of the Smithsonian’s Global Change Research Wetland (GCReW). Six replicate transects within the Kirkpatrick Marsh, three in each of the dominant plant communities, were established in 2016. A heating gradient consisting of an ambient temperature plot and heated plots raised to +1.7, +3.4, and +5.1 °C above ambient temperatures was established along each transect. Soil surface elevations were tracked using surface elevation tables (SETs). SETs were installed in each plot to measure soil surface elevation. Elevation benchmarks were installed outside of the experimental plot in June 2016 by driving a series of stainless-steel rods through the entire soil profile to “refusal” (approximately 12.5 meters, but ranging from 6 to 13.5 meters) and then permanently anchored. SET benchmark vertical stability over time was assessed by periodically surveying them relative to each other with a Trimble S5 Total Station and no significant differences in elevation were found. Elevation measurements were collected from approximately 60 “pins” that are 4.5 mm apart and measure the distance from a parallel bar attached to the anchored benchmark to the ground surface, and recorded to the nearest millimeter. This resulted in high-precision measurements of soil surface elevations relative to the base of the benchmark. Measurements were taken every June, August, and January since warming began on June 1, 2016. In addition to this, measurements were taken more frequently (every two months from March 2019 to February 2020) to examine inter-annual variability in marsh elevation. To determine long term trends, marsh surface elevation was regressed against time for each individual SET pin resulting in approximately 60 estimates of linear elevation trends for each plot. Pin linear regressions across replicate plots (~180 linear regressions per treatment) were then averaged together to estimate the average long-term change in elevation at the treatment level. The data in this dataset represent the change in elevation between June 2016 and February 2020 at the pin-level on sheet "PinChange" and at the plot-level on sheet "PlotChange". Within the sheets, the column labeled “PlotLabel” represents the plant community, replication, and warming treatment respectively by the hundreds, tens, and ones place value. “4” and “3” in the hundreds place differentiates between the C<sub>4</sub> and C<sub>3</sub> plant communities. Numbers 1 through 6 in the tends place indicate the heating gradient replications. In the ones place, “0” represents ambient temperature treatments while “1”, “2”, and “3” represent elevated temperature treatments in ascending order.
DOI: 10.17632/rdn4889sxv.2
title: Data for "Nanophase iron of new nano-lamella and zoned morphology discovered in a lunar meteorite"

description: Data for "Nanophase iron of new nano-lamella and zoned morphology discovered in a lunar meteorite".
DOI: 10.17632/n6yfhrz824
title: Raw gamma-ray spectra and attenuation data from a LaBr3(Ce) detector for laboratory NORM measurements

description: This dataset includes raw spectra obtained from a Labr3(Ce) detector for background, RG reference materials, and various coal, fly ash, and bottom ash spectra. It also provides data necessary to correct for self-attenuation. This dataset is intended to be used to develop methods to analyze low-level NORM samples for uranium, thorium, potassium, and decay progeny.
DOI: 10.17632/n6yfhrz824.1
title: Raw gamma-ray spectra and attenuation data from a LaBr3(Ce) detector for laboratory NORM measurements

description: This dataset includes raw spectra obtained from a Labr3(Ce) detector for background, RG reference materials, and various coal, fly ash, and bottom ash spectra. It also provides data necessary to correct for self-attenuation. This dataset is intended to be used to develop methods to analyze low-level NORM samples for uranium, thorium, potassium, and decay progeny.
DOI: 10.15468/dl.txnhxa
title: Occurrence Download

description: A dataset containing 5062030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Circus cyaneus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 5062030 records from 2841 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012283-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ykdzg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Buchloe dactyloides (Nutt.) Engelm."
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011583-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwr2wx
title: Occurrence Download

description: A dataset containing 1931 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podarcis guadarramae (Boscá, 1916)"
 ]
}

 The dataset includes 1931 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011584-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zz2xsv
title: Occurrence Download

description: A dataset containing 2067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podarcis carbonelli Perez Mellado, 1981"
 ]
}

 The dataset includes 2067 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011585-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n948wc
title: Occurrence Download

description: A dataset containing 31626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rivina humilis L."
 ]
}

 The dataset includes 31626 records from 492 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011579-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8srxg3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sorex ornatus juncensis Nelson & Goldman, 1909"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000598-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2peq6
title: Occurrence Download

description: A dataset containing 8719 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primno macropa Guérin-Méneville, 1836"
 ]
}

 The dataset includes 8719 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002740-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9q9-cen-k5g
title: Elephantidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wwg-qpv-9t5
title: Elephantidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/10j-ecj-1y6
title: Raja

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vy9-jcm-mkh
title: Chondrichthyes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cjq-kg4-32p
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.60707/zvhx-ej52
title: Noble gas isotopes in extraterrestrial rocks
DOI: 10.3535/lz2-yzw-dj5
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qge-fp8-l45
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b01-sjd-5qs
title: Terebratula Müller, 1776

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vb7-frg-z49
title: Raja

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/av9-t5s-x22
title: Chondrichthyes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gfk-ncn-xs0
title: Odontaspis

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b2z-w0l-lsd
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qfw-0zc-hgp
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mgl-sbl-wbb
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qk9-ksd-2x0
title: Alasmidonta Say, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.60707/fe9d-pe42
title: Noble gas isotopes in extraterrestrial rocks
DOI: 10.3535/e64-sed-kss
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f6p-nhe-2x8
title: Mustela Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jzc-qb5-c6j
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.