cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18498367
title: Data and code for: Multiyear Multiscale Modeling and Future Projections of CO2 Mixing Ratios Using Coupled WRF-GHG Model over the Contiguous U.S.

description: This doi has the processed outputs and some codes for getting the processed outputs. 



table_metar_T2.R is the R code that was used to evaluate the Temperature at 2m (T2) against METAR observation. There are similar codes to evaluate absolute humidity, wind speed and direction. This code can evaluate all the three domains together. These codes are based on another R package called eva3dm. 

 summary_seasonal_six_years.xlsx is the Excel sheet that has the six year average results for all the Met evaluation. This has been used in the paper.

CCGG_NACP_all_sites.xlsx has the CO2 observational data from all the sites that has the data for the period of study. This file is the main file that has been used to do all the evaluation. This file also has the extracted CO2 data from all the runs using all the dataset. 

results_Annual_d01.xlsx is the file that has all the results from the d01 domain

results_Annual_d01_d02.xlsx is the file that has all the results from the d01 and d02 domains

results_Annual_d01_d02_d03.xlsx is the file that has all the results from the d01, d02 and d03 domains

evaluation_final.R is the code used to do the evaluation
DOI: 10.5281/zenodo.18498368
title: Data and code for: Multiyear Multiscale Modeling and Future Projections of CO2 Mixing Ratios Using Coupled WRF-GHG Model over the Contiguous U.S.

description: This doi has the processed outputs and some codes for getting the processed outputs. 



table_metar_T2.R is the R code that was used to evaluate the Temperature at 2m (T2) against METAR observation. There are similar codes to evaluate absolute humidity, wind speed and direction. This code can evaluate all the three domains together. These codes are based on another R package called eva3dm. 

 summary_seasonal_six_years.xlsx is the Excel sheet that has the six year average results for all the Met evaluation. This has been used in the paper.

CCGG_NACP_all_sites.xlsx has the CO2 observational data from all the sites that has the data for the period of study. This file is the main file that has been used to do all the evaluation. This file also has the extracted CO2 data from all the runs using all the dataset. 

results_Annual_d01.xlsx is the file that has all the results from the d01 domain

results_Annual_d01_d02.xlsx is the file that has all the results from the d01 and d02 domains

results_Annual_d01_d02_d03.xlsx is the file that has all the results from the d01, d02 and d03 domains

evaluation_final.R is the code used to do the evaluation
DOI: 10.15468/dl.ppek26
title: Occurrence Download

description: A dataset containing 4345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Symphyotrichum oolentangiense"
 ]
}

 The dataset includes 4345 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014764-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cbhdu
title: Occurrence Download

description: A dataset containing 13477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dryas octopetala, Dryas octopetala, Dryas octopetala, Dryas octopetala)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 13477 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014762-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt425j
title: Occurrence Download

description: A dataset containing 20923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Passiflora incarnata"
 ]
}

 The dataset includes 20923 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014765-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nhsg7
title: Occurrence Download

description: A dataset containing 88210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is GBR.3_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "License is CC-BY 4.0",
 "License is CC0 1.0"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2016-2021"
 ]
}

 The dataset includes 88210 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290178-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cssg6g
title: Occurrence Download

description: A dataset listing the 124 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "TaxonKey is Pipunculidae"
 ]
}

 The dataset's 124 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254169-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fuc0gn
title: Occurrence Download

description: A dataset containing 57425 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vachellia Wight & Arn."
 ]
}

 The dataset includes 57425 records from 504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010113-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rar8gv
title: Occurrence Download

description: A dataset containing 34223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactuca perennis L."
 ]
}

 The dataset includes 34223 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217566-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qc8e5y
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blasia pusilla L.",
 "MediaType is Image",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 114 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000608-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p57e2e
title: Occurrence Download

description: A dataset containing 20852397 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 20852397 records from 3233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292347-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s5fw4
title: Occurrence Download

description: A dataset containing 118680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus hortorum"
 ]
}

 The dataset includes 118680 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016807-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxxd6x
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Country is Montenegro",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016857-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5vtw9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Country is Morocco",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016859-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fg7ny
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADW3898"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016858-250717081556266/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.29605088
title: <b>Cost-Efficient Waste Management through AI: An Environmental Accounting Framework Integrating Mask R-CNN and Graph Neural Networks for Industrial Solid Waste Analysis</b>

description: This study proposes an innovative environmental accounting framework that combines computer vision with cost-benefit analysis to optimize industrial solid waste management. By integrating Mask R-CNN and Graph Convolutional Networks (GCN), we develop a multidimensional feature extraction system that achieves 96.33% classification accuracy while reducing manual auditing costs by 82% compared to traditional methods.
DOI: 10.6084/m9.figshare.29605088.v1
title: <b>Cost-Efficient Waste Management through AI: An Environmental Accounting Framework Integrating Mask R-CNN and Graph Neural Networks for Industrial Solid Waste Analysis</b>

description: This study proposes an innovative environmental accounting framework that combines computer vision with cost-benefit analysis to optimize industrial solid waste management. By integrating Mask R-CNN and Graph Convolutional Networks (GCN), we develop a multidimensional feature extraction system that achieves 96.33% classification accuracy while reducing manual auditing costs by 82% compared to traditional methods.
DOI: 10.6084/m9.figshare.29605082
title: Dataset: Meme Coin Price Reactions to Influencer Tweets (2020–2025)

description: This dataset contains the daily closing prices of select memecoins and the corresponding dates of tweets by public figures such as Elon Musk, Donald Trump, and Iggy Azalea, used to calculate percentage changes in market response
DOI: 10.6084/m9.figshare.29605082.v1
title: Dataset: Meme Coin Price Reactions to Influencer Tweets (2020–2025)

description: This dataset contains the daily closing prices of select memecoins and the corresponding dates of tweets by public figures such as Elon Musk, Donald Trump, and Iggy Azalea, used to calculate percentage changes in market response
DOI: 10.15468/dl.h3cq56
title: Occurrence Download

description: A dataset containing 3141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3141 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016862-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d65gba
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys molitrix",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 199 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016865-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72ecjm
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Torreya grandis"
 ]
}

 The dataset includes 344 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016864-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2113790486
title: Cryo-electron microscopy EPN/Grenoble BAG

description: ESRF is privileged to host two state-of-the-art microscopes. Our BAG unites the majority of local labs that utilise cryo-EM to address their diverse structural biology questions, including researchers from the EPN campus (IBS, ESRF, ILL and EMBL) and its vicinity (Cell & Plant Physiology Laboratory LPCV, Grenoble Institut des Neurosciences - GIN, Institute for Advanced Biosciences - IAB).
In a nutshell, approximately 30 principal investigators would greatly benefit from Krios time, with 100 different samples proposed. The high demand for EM beamtime is partially met by two Glacios microscopes available on the campus, currently charged with the pre-screening, but also frequently yielding satisfactory structural insights. Nonetheless, the use of a Krios is indispensable for challenging samples (with heterogeneity or limited concentration requiring a large number of images, small proteins, etc.). Only such “difficult cases” will be selected for Krios time at the BAG level.
DOI: 10.15468/dl.mt3f2y
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eupristina masoni"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016867-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf27mr
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanganicodus irsacae"
 ]
}

 The dataset includes 418 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016866-250717081556266/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.28517021
title: Deciphering the Assembly Process of PQQ Dependent Methanol Dehydrogenase

description: 3D density maps and models of MxaF/MxaJ complexes
DOI: 10.6084/m9.figshare.28517021.v1
title: Deciphering the Assembly Process of PQQ Dependent Methanol Dehydrogenase

description: 3D density maps and models of MxaF/MxaJ complexes
DOI: 10.15468/dl.eea7er
title: Occurrence Download

description: A dataset containing 8510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Sternula antillarum"
 ]
}

 The dataset includes 8510 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016868-250717081556266/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.28975622
title: Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels

description: full data for the manuscript 'Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels'
DOI: 10.6084/m9.figshare.28975622.v1
title: Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels

description: full data for the manuscript 'Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels'
DOI: 10.6084/m9.figshare.28658603
title: BladeSynth: A High-Quality Rendering-Based Synthetic Dataset for Aero Engine Blade Defect Inspection

description: A synthetic dataset for aero engine blade defect detection
DOI: 10.15468/dl.pj3qch
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 207 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016870-250717081556266/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.28658603.v1
title: BladeSynth: A High-Quality Rendering-Based Synthetic Dataset for Aero Engine Blade Defect Inspection

description: A synthetic dataset for aero engine blade defect detection
DOI: 10.6084/m9.figshare.28200101
title: Melt-Pool-Kinetics: A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing

description: Additive manufacturing (AM) is a technique used to fabricate physical objects by layering materials from a 3D digital model. Melt pool represents the region of superheated molten material in metallic AM. Melt pool monitoring in AM processes has been shown to be effective for a range of downstream analytics tasks. However, metallic AM processes are characterized by a wide variety of process parameters, materials, and monitoring conditions. This diversity has driven the need for a comprehensive dataset that can standardize melt pool image data across process, monitoring, and application contexts. To this end, the current work presents a diverse collection of melt pool images sourced from a range of process monitoring applications. The dataset is systematically collected from research institutions, government organizations, scientific articles, and open databases. A total of 32 datasets across 23 sources, amounting to 1.9 terabytes of data were down sampled and processed to a 48.6 gigabytes general dataset in an HDF5 file format. We release this first compilation as Melt-Pool-Kinetics. This dataset aims to facilitate downstream analytics applications such as machine learning (ML) for in-situ monitoring, process optimization, and closed-loop feedback for AM quality prediction and process repeatability. The dataset is organized into structured levels, offering both raw and processed image data in the standardized HDF5 file format. Additionally, we provide a diverse subset for large datasets, which could enhance model training efficiency and boost performance on AM-related tasks. The current version can be extended in the future by adding latest datasets to enhance its applicability.
DOI: 10.6084/m9.figshare.28200101.v1
title: Melt-Pool-Kinetics: A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing

description: Additive manufacturing (AM) is a technique used to fabricate physical objects by layering materials from a 3D digital model. Melt pool represents the region of superheated molten material in metallic AM. Melt pool monitoring in AM processes has been shown to be effective for a range of downstream analytics tasks. However, metallic AM processes are characterized by a wide variety of process parameters, materials, and monitoring conditions. This diversity has driven the need for a comprehensive dataset that can standardize melt pool image data across process, monitoring, and application contexts. To this end, the current work presents a diverse collection of melt pool images sourced from a range of process monitoring applications. The dataset is systematically collected from research institutions, government organizations, scientific articles, and open databases. A total of 32 datasets across 23 sources, amounting to 1.9 terabytes of data were down sampled and processed to a 48.6 gigabytes general dataset in an HDF5 file format. We release this first compilation as Melt-Pool-Kinetics. This dataset aims to facilitate downstream analytics applications such as machine learning (ML) for in-situ monitoring, process optimization, and closed-loop feedback for AM quality prediction and process repeatability. The dataset is organized into structured levels, offering both raw and processed image data in the standardized HDF5 file format. Additionally, we provide a diverse subset for large datasets, which could enhance model training efficiency and boost performance on AM-related tasks. The current version can be extended in the future by adding latest datasets to enhance its applicability.
DOI: 10.6084/m9.figshare.28656233
title: Constructing the commuting backbone network dataset for the United States

description: This data product includes two commuting backbone network GIS datasets and two CSV files. 
1. Commuter connection backbone network – A CSV file representing this backbone network, with each record containing the following attributes: origin_tract, dest_tract, commuter_count, CBSA, CBSA_type, x_lon, x_lat, y_lon, y_lat. In addition, a corresponding line shapefile is included to support direct visualization and analysis in GIS software.
2. Backbone road network – A line shapefile mapping primary road segments most likely used by commuters traveling along the identified commuter connection backbones. Each record includes the following attributes: commuter_count, CBSA, and CBSA_type, representing the estimated commuter traffic volume and geographic context for each backbone road segment.
3. CBSA-level network metrics – A CSV file is provided containing network-related metrics for both backbone networks within each CBSA. Each record includes the following attributes: CBSA, CBSA Type, Number of Nodes, Number of Edges, Average Degree, Network Density, Average Clustering Coefficient, Total Commuters, Assortativity, Reciprocity, Modularity, and Average Commuting Distance (in miles). Note that the Average Commuting Distance is derived from the backbone road network, while all other metrics correspond to the commuter connection backbone network.