cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qs78wa
title: Occurrence Download

description: A dataset containing 3136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.23700982660887",
 "DecimalLongitude is less than 7.24006937979326",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3136 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000377-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17661027
title: CastielCai/PMN30PT_Data-and-Codes: PMN30PT-Data&Codes

description: PMN30PT-Data&Codes v1.0

the mesured data & step of process, both reconstruction and analysis
DOI: 10.5281/zenodo.17661026
title: CastielCai/PMN30PT_Data-and-Codes: PMN30PT-Data&Codes

description: PMN30PT-Data&Codes v1.0

the mesured data & step of process, both reconstruction and analysis
DOI: 10.17632/v6wyxgbjf5
title: thermokarst lakes

description: thermokarst lakes
DOI: 10.17632/v6wyxgbjf5.1
title: thermokarst lakes

description: thermokarst lakes
DOI: 10.17632/fs3wcys33h
title: Non-monotonic Ice-core Thawing in Water Pool Leading by Flow Competition

description: This study demonstrates a non-monotonic dependence between pool temperature and thawing time for the ice-core thawing problem. Numerical simulations reveal that this anomaly arises from competing convective mechanisms driven by the density-temperature anomaly at ~4°C of water. The sides come from the anomaly chaotic flow induced by boundary-core thermal gradients, and the normal natural convection stabilized by buoyancy from the density extremum near the core. As the pool temperature increases from 2.5 to 80 °C, the flow transitions from a chaotic to a steady state. Within the transitional regime, however, flow stability decreases with the Fourier number, eventually can leading to re‑chaotization. The pool size modulates the competition between chaotic flow and natural convection through the Rayleigh numbers, which govern both the extreme points in thawing time and the extent of the non‑monotonic effect, thereby enabling precise control over thawing kinetics. These insights clarify how the non‑Oberbeck–Boussinesq effects of density and viscosity govern ice‑core thawing dynamics and pave the way for advanced controlled‑thawing technologies in applications such as cryopreservation and organ resuscitation.
DOI: 10.17632/fs3wcys33h.1
title: Non-monotonic Ice-core Thawing in Water Pool Leading by Flow Competition

description: This study demonstrates a non-monotonic dependence between pool temperature and thawing time for the ice-core thawing problem. Numerical simulations reveal that this anomaly arises from competing convective mechanisms driven by the density-temperature anomaly at ~4°C of water. The sides come from the anomaly chaotic flow induced by boundary-core thermal gradients, and the normal natural convection stabilized by buoyancy from the density extremum near the core. As the pool temperature increases from 2.5 to 80 °C, the flow transitions from a chaotic to a steady state. Within the transitional regime, however, flow stability decreases with the Fourier number, eventually can leading to re‑chaotization. The pool size modulates the competition between chaotic flow and natural convection through the Rayleigh numbers, which govern both the extreme points in thawing time and the extent of the non‑monotonic effect, thereby enabling precise control over thawing kinetics. These insights clarify how the non‑Oberbeck–Boussinesq effects of density and viscosity govern ice‑core thawing dynamics and pave the way for advanced controlled‑thawing technologies in applications such as cryopreservation and organ resuscitation.
DOI: 10.15468/dl.tx2fsc
title: Occurrence Download

description: A dataset containing 12405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Elliotomyia chionogaster"
 ]
}

 The dataset includes 12405 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000379-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pr28vks52k
title: Vertical Wind Velocity Data from NSF and NASA Flight Campaigns

description: Overview: This dataset provides a unified, quality-controlled compilation of in-situ atmospheric measurements focused on vertical velocity at 1-second frequency. It consolidates near-global data from seven NSF and five NASA airborne field campaigns conducted between 2008 and 2016. The data are structured to support research on atmospheric turbulence, vertical velocity trends, and cloud processes. 

Person of contact: Minghui Diao, minghui.diao@sjsu.edu

Dataset Composition
The collection consists of two NetCDF files:

1. File: NSF_sig_w_T_430s.nc
• Source: U.S. National Science Foundation (NSF) campaigns.
• Contains data from: (1) CONTRAST, (2) NSF-DC3, (3) HIPPO, (4) ORCAS, (5) PREDICT, (6) START08, and (7) TORERO. 

2. File: NASA_sig_w_T_430s.nc
• Source: U.S. National Aeronautics and Space Administration (NASA) campaigns.
• Contains data from: (1) ATTREX, (2) MACPEX, (3) NASA-DC3, (4) POSIDON, and (5) SEAC4RS.

Data Variables & Structure
Each NetCDF file is organized with the following columns:
• Time (UTC)
• Campaign Label (Numerical identifier, see descriptions above)
• Research Flight Number
• Standard Deviation of Vertical Velocity (σw) (m/s)
• Temperature (°C)
• Pressure (Pa)

Processing Notes
• σw Calculation: The standard deviation of vertical velocity was computed using a 430-second moving average. This corresponds to a horizontal length scale of approximately 100 km based on aircraft true airspeed.
• Data Filtering: The beginning and ending segments of each flight are filtered out for the σw calculations (indicated by a campaign variable value of NaN).

Recommended Citation & Documentation
The DOI of this dataset is: Diao, Minghui; Maciel, Flor; Ngo, Derek; Patnaude, Ryan (2025), “Vertical Wind Velocity Data from NSF and NASA Flight Campaigns”, Mendeley Data, V1, doi: 10.17632/pr28vks52k.1

Please cite the following papers when using this dataset:

1. Primary Methodology & Campaign Details:
Maciel, F. V., Diao, M., and Patnaude, R.: Examination of aerosol indirect effects during cirrus cloud evolution, Atmos. Chem. Phys., 23, 1103–1129, https://doi.org/10.5194/acp-23-1103-2023, 2023. 

2. Data Application Through a Machine Learning Approach:
Ngo, D., Diao, M., Patnaude, R. J., Woods, S., and Diskin, G.: Aerosol–cloud interactions in cirrus clouds based on global-scale airborne observations and machine learning models, Atmos. Chem. Phys., 25, 7007–7036, https://doi.org/10.5194/acp-25-7007-2025, 2025.

3. Data Application in Model Evaluation:
Patnaude, R., Diao, M., Liu, X., and Chu, S.: Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6, Atmos. Chem. Phys., 21, 1835–1859, https://doi.org/10.5194/acp-21-1835-2021, 2021.

4. Data Application in Vertical Velocity Trend Analysis:
Barahona, D., Breen, K., Ngo, D., Maciel, F. V., Patnaude, R., and Diao, M.: Trends in vertical wind velocity variability reveal cloud microphysical feedback. Nature Communications, 2025.
DOI: 10.17632/pr28vks52k.1
title: Vertical Wind Velocity Data from NSF and NASA Flight Campaigns

description: Overview: This dataset provides a unified, quality-controlled compilation of in-situ atmospheric measurements focused on vertical velocity at 1-second frequency. It consolidates near-global data from seven NSF and five NASA airborne field campaigns conducted between 2008 and 2016. The data are structured to support research on atmospheric turbulence, vertical velocity trends, and cloud processes. 

Person of contact: Minghui Diao, minghui.diao@sjsu.edu

Dataset Composition
The collection consists of two NetCDF files:

1. File: NSF_sig_w_T_430s.nc
• Source: U.S. National Science Foundation (NSF) campaigns.
• Contains data from: (1) CONTRAST, (2) NSF-DC3, (3) HIPPO, (4) ORCAS, (5) PREDICT, (6) START08, and (7) TORERO. 

2. File: NASA_sig_w_T_430s.nc
• Source: U.S. National Aeronautics and Space Administration (NASA) campaigns.
• Contains data from: (1) ATTREX, (2) MACPEX, (3) NASA-DC3, (4) POSIDON, and (5) SEAC4RS.

Data Variables & Structure
Each NetCDF file is organized with the following columns:
• Time (UTC)
• Campaign Label (Numerical identifier, see descriptions above)
• Research Flight Number
• Standard Deviation of Vertical Velocity (σw) (m/s)
• Temperature (°C)
• Pressure (Pa)

Processing Notes
• σw Calculation: The standard deviation of vertical velocity was computed using a 430-second moving average. This corresponds to a horizontal length scale of approximately 100 km based on aircraft true airspeed.
• Data Filtering: The beginning and ending segments of each flight are filtered out for the σw calculations (indicated by a campaign variable value of NaN).

Recommended Citation & Documentation
The DOI of this dataset is: Diao, Minghui; Maciel, Flor; Ngo, Derek; Patnaude, Ryan (2025), “Vertical Wind Velocity Data from NSF and NASA Flight Campaigns”, Mendeley Data, V1, doi: 10.17632/pr28vks52k.1

Please cite the following papers when using this dataset:

1. Primary Methodology & Campaign Details:
Maciel, F. V., Diao, M., and Patnaude, R.: Examination of aerosol indirect effects during cirrus cloud evolution, Atmos. Chem. Phys., 23, 1103–1129, https://doi.org/10.5194/acp-23-1103-2023, 2023. 

2. Data Application Through a Machine Learning Approach:
Ngo, D., Diao, M., Patnaude, R. J., Woods, S., and Diskin, G.: Aerosol–cloud interactions in cirrus clouds based on global-scale airborne observations and machine learning models, Atmos. Chem. Phys., 25, 7007–7036, https://doi.org/10.5194/acp-25-7007-2025, 2025.

3. Data Application in Model Evaluation:
Patnaude, R., Diao, M., Liu, X., and Chu, S.: Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6, Atmos. Chem. Phys., 21, 1835–1859, https://doi.org/10.5194/acp-21-1835-2021, 2021.

4. Data Application in Vertical Velocity Trend Analysis:
Barahona, D., Breen, K., Ngo, D., Maciel, F. V., Patnaude, R., and Diao, M.: Trends in vertical wind velocity variability reveal cloud microphysical feedback. Nature Communications, 2025.
DOI: 10.17632/z9tyhmmc7r
title: Mapping the Social Entrepreneurship Landscape in Sustainable Agricultural Supply Chains

description: a citation of Mapping the Social Entrepreneurship Landscape 
in Sustainable Agricultural Supply Chains
DOI: 10.17632/z9tyhmmc7r.1
title: Mapping the Social Entrepreneurship Landscape in Sustainable Agricultural Supply Chains

description: a citation of Mapping the Social Entrepreneurship Landscape 
in Sustainable Agricultural Supply Chains
DOI: 10.15468/dl.kaktd7
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "GadmGid is MEX.30_1",
 "Geometry POLYGON((-109.32508 16.21935,-88.76508 16.21935,-88.76508 24.43947,-109.32508 24.43947,-109.32508 16.21935))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pecari tajacu"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000385-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqb8jk
title: Occurrence Download

description: A dataset containing 1661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence, Fossil)",
 "TaxonKey is Caracal caracal"
 ]
}

 The dataset includes 1661 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000384-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9buxku
title: Occurrence Download

description: A dataset containing 2126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.24006937979326",
 "DecimalLongitude is less than 7.24312893297766",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2126 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000386-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/pd1ckx
title: Replication Data and Code for: Impact of switching from a quadrivalent to a nonavalent HPV vaccine on HPV infections and cervical cancer in Colombia: a mathematical modeling study

description: Replication Data and Code for: Impact of switching from a quadrivalent to a nonavalent HPV vaccine on HPV infections and cervical cancer in Colombia: a mathematical modeling study. 
This dataset contains the model-generated arrays of carcinogenic HPV prevalence and incidence for Colombia under multiple vaccination scenarios, along with the R scripts used to produce these arrays.
description: R, 4.3.3
DOI: 10.5281/zenodo.15359253
title: A machine learning approach to predict tight-binding parameters for point defects via the projected density of states

description: This dataset contains the data for the article "A machine learning approach to predict tight-binding parameters for point defects via the projected density of states". It includes VASP input and output files and the data for the plots (DFT and TB).
DOI: 10.5281/zenodo.15359254
title: A machine learning approach to predict tight-binding parameters for point defects via the projected density of states

description: This dataset contains the data for the article "A machine learning approach to predict tight-binding parameters for point defects via the projected density of states". It includes VASP input and output files and the data for the plots (DFT and TB).
DOI: 10.15468/dl.xjwz5a
title: Occurrence Download

description: A dataset containing 20083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-70.35 -55.39837, -70.35 -50.39837, -65.35 -50.39837, -65.35 -55.39837, -70.35 -55.39837))"
 ]
}

 The dataset includes 20083 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000387-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kstvbc
title: Occurrence Download

description: A dataset containing 2225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.24312893297766",
 "DecimalLongitude is less than 7.24618848616205",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2225 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000390-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/15589
title: Triple-H with methanol, MN15L+G(d,p)/Lanl2dz, SCRF=methanol G = -4274.865566 DG = 25.78

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15599
title: r2scan-3c/Def2-mTZVPP/SCRF=methanol

description: ORCA Calculation
DOI: 10.15468/dl.fyzvd4
title: Occurrence Download

description: A dataset containing 6615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus chloronotus",
 "Year 2024-2025"
 ]
}

 The dataset includes 6615 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000391-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3h87k
title: Occurrence Download

description: A dataset containing 2150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-60.35 -55.39837, -60.35 -50.39837, -55.35 -50.39837, -55.35 -55.39837, -60.35 -55.39837))"
 ]
}

 The dataset includes 2150 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000392-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy8yh7
title: Occurrence Download

description: A dataset containing 3054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence, Fossil)",
 "TaxonKey is Felis chaus"
 ]
}

 The dataset includes 3054 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000394-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17660987
title: Extended data for the manuscript Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales

description: This repository contains the extended data associated with the manuscript “Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales.”

Authors: Michael V. Westbury, Stuart C. Brown, Andrea A. Cabrera, Hernán E. Morales, Bárbara Parreira, Jilong Ma, Moisès Coll Macià, Alba Rey-Iglesia, Arthur Dyke, Camilla Hjorth Scharff-Olsen, Michael B. Scott, Øystein Wiig, Lutz Bachmann, Kit M. Kovacs, Christian Lydersen, Steven H. Ferguson, Paul Szpak, Damien A. Fordham, and Eline D. Lorenzen.

The repository includes Extended Data Figures 1–24 and Extended Data Tables 1–9, with Tables 3 and 8 provided as separate Excel spreadsheets. These materials provide supplementary data supporting the analyses presented in the manuscript.
DOI: 10.5281/zenodo.17660988
title: Extended data for the manuscript Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales

description: This repository contains the extended data associated with the manuscript “Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales.”

Authors: Michael V. Westbury, Stuart C. Brown, Andrea A. Cabrera, Hernán E. Morales, Bárbara Parreira, Jilong Ma, Moisès Coll Macià, Alba Rey-Iglesia, Arthur Dyke, Camilla Hjorth Scharff-Olsen, Michael B. Scott, Øystein Wiig, Lutz Bachmann, Kit M. Kovacs, Christian Lydersen, Steven H. Ferguson, Paul Szpak, Damien A. Fordham, and Eline D. Lorenzen.

The repository includes Extended Data Figures 1–24 and Extended Data Tables 1–9, with Tables 3 and 8 provided as separate Excel spreadsheets. These materials provide supplementary data supporting the analyses presented in the manuscript.
DOI: 10.6084/m9.figshare.30576644.v2
title: Changes in cell cycle machinery as genetic basis for polyploidy stabilization in Australian burrowing frogs (Neobatrachus)

description: <b>Whole-genome duplication can be adaptive in the long term but in the short term can impair chromosome segregation and fertility, obstacles polyploids must overcome to regain fitness. To investigate how animals adapt to polyploidy, we focused on Australian burrowing frogs (genus Neobatrachus), three species of which are established polyploids: </b><b><i>N. aquilonius</i></b><b>, </b><b><i>N. kunapalari </i></b><b>and </b><b><i>N. sudellae</i></b><b>. We assembled a reference genome for diploid </b><b><i>N. pictus</i></b><b> and sequenced 87 individuals from all nine </b><b><i>Neobatrachus </i></b><b>species, finding tetraploid-specific selection on genes with meiotic roles in synaptonemal complex and crossover distribution (SYCE2, PRR19), or chromosome and spindle size (Condensin-2, KifC1). These changes may represent a genetic adaptation in vertebrate polyploids with tetrasomic and mixed inheritance that raises crossover interference and scales chromosome and spindle size to ensure successful chromosomal segregation.</b>
DOI: 10.5281/zenodo.17661033
title: A Discrete-Event Simulation Framework for Waste Reduction: A Case Study in SME Polybag Manufacturing
DOI: 10.5281/zenodo.17661032
title: A Discrete-Event Simulation Framework for Waste Reduction: A Case Study in SME Polybag Manufacturing
DOI: 10.15468/dl.hxymtq
title: Occurrence Download

description: A dataset containing 1803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.24618848616205",
 "DecimalLongitude is less than 7.24924803934645",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1803 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000396-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77sk3r
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Fossil)",
 "TaxonKey is Felis nigripes"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000399-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.31011.11044
title: Academician Professor Dr. G. Litarczek, Chief Physician of Department of the Anesthesia-Intensive Care, agreed with my the topic "Bioxenoperfusion in the context of current efferent therapy methods, and their differentiated indications according to the background of endogenous intoxication" and the scientific supervision of the doctoral thesis. . June 16, 1990 Bucharest Romania https://www.observatorul.com/default.asp?action=articleviewdetail&ID=19071
DOI: 10.5281/zenodo.17292720
title: Synthetic Pill Adherence and Refill Prediction Dataset

description: This dataset was synthetically generated using Python in Google Colab to simulate pill adherence and refill behavior for 300 users over 120 days. It contains daily medication intake, adherence probability, stock levels, refill events, and engineered features used to train machine learning models for refill prediction. The dataset is fully synthetic and contains no personally identifiable information. Files included: synthetic_pill_adherence_dataset.csv, pill_refill_prediction_model.ipynb.