cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18094709
title: Empirical Dataset for ECM/DCM: Spatiotemporal Metadata and Field Logs (v1.0)

description: Abstract: This dataset, Empirical Dataset for ECM/DCM: Spatiotemporal Metadata and Field Logs, contains the raw evidence and high-precision spatial records derived from the implementation of the Equitable Collaboration Method (ECM) and Deep Collaboration Methodology (DCM). It serves as the empirical foundation for documenting recursive Human-AI symbiosis across various academic and urban high-stress environments.



Access Conditions for Restricted Files: Due to the sensitive nature of precise GPS metadata and interviewee privacy, the full dataset (Table 1) is restricted. Interested researchers are invited to request access through the Zenodo "Request Access" button or by contacting the author at fanchenchieh1976@gmail.com. Please include your institutional affiliation and a brief statement of research intent.
DOI: 10.17605/osf.io/x6cqt
title: The impact of Facebook status on economic decision-making

description: A number of studies in behavioral economics have reported that perceived relative status greatly impacts economic decisions. Individuals who have acquired high status through competitive gains behave more selfishly in economic transactions when paired with individuals who are ranked lower than themselves. The results of two experiments reported similar results on the basis of Facebook status. When Facebook users who possessed large friend-counts and heavy engagement (High Status) were paired with partners whom they were told had low Facebook friend-counts and engagement (Low Status), they offered significantly less money to their partners in Dictator and Ultimatum Games, and Low Status Facebook users were willing to accept lower offers from High Status users in the Ultimatum Game. Facebook status does impact economic decision-making in the same way as other competitively-acquired relative social status.
DOI: 10.15468/dl.zr56fc
title: Occurrence Download

description: A dataset containing 67947 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rudbeckia hirta"
 ]
}

 The dataset includes 67947 records from 574 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069595-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dr86e
title: Occurrence Download

description: A dataset containing 936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiopogon jaburan"
 ]
}

 The dataset includes 936 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069606-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18041759
title: Supplemental Data For Quantum Coherence
DOI: 10.5281/zenodo.18041758
title: Supplemental Data For Quantum Coherence
DOI: 10.21227/phbx-0k31
title: "AINPP PB LATAM"

description: "This dataset provides a curated and harmonized collection of gridded precipitation fields derivedfrom the GSMaP Near Real-Time (NRT) and GSMaP Moving Vector with Kalman filter (MVK, V8)products, specifically designed to support reproducible machine learning experiments in precipitationnowcasting. The dataset is structured to enable supervised learning, where GSMaP-NRT fields are usedas input data and the higher-quality GSMaP-MVK fields serve as forecast targets, allowing systematicevaluation of models under realistic data latency constraints. The dataset covers the AINPP Latin Americadomain (latitudes \u221255\u00b0 to 33\u00b0, longitudes \u2212120\u00b0 to \u221223\u00b0) on a regular 0.1\u00b0 grid, yielding spatial fieldsof 880\u00d7970 pixels per time step. The temporal extent spans January 1, 2018 to December 31, 2024, withan hourly temporal resolution. To prevent temporal data leakage and ensure fair model development,the data are explicitly partitioned into training (2018\u20132022), validation (2023), and test (2024) subsets.A standardized preprocessing pipeline is applied to both products, consisting of a log1p transformationfollowed by Z-score normalization. The normalization parameters are computed exclusively from theGSMaP-MVK training period and consistently applied to both NRT and MVK across all temporalsplits. The dataset is stored in a compressed Zarr (v2) format with chunking optimized for deep learningworkflows, and the normalization parameters are distributed to allow exact inverse transformation backto physical precipitation units. This dataset provides a robust and scalable foundation for precipitationnowcasting benchmarks and reproducible experimentation."
DOI: 10.15468/dl.zghm74
title: Occurrence Download

description: A dataset containing 55281 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Imperata cylindrica"
 ]
}

 The dataset includes 55281 records from 617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069600-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ud8jn
title: Occurrence Download

description: A dataset containing 4383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asparagus schoberioides"
 ]
}

 The dataset includes 4383 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069607-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2u56n
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysanthemum seticuspe"
 ]
}

 The dataset includes 43 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069608-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u3sfq
title: Occurrence Download

description: A dataset containing 8237 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isodon inflexus"
 ]
}

 The dataset includes 8237 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069609-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/agr7-qw0r-cj07
title: ACE-ASIA: Gosan (Kosan) radiometers. Version 1.0

description: This data set contains continuous daytime measurements of direct and downwelling diffuse solar irradiances and spectral optical depth made during the ACE-Asia project at the Gosan(Kosan) surface site on Cheju Island, South Korea. This data set contains a Microsoft Excel file. It can also be downloaded as a tab delimited ASCII text file.
DOI: 10.15468/dl.szc8ee
title: Occurrence Download

description: A dataset containing 44733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "GadmGid is one of (IDN.18_1, IDN.19_1)",
 "BasisOfRecord is Specimen",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 44733 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051462-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czqxsv
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus cremastogyne)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 765 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051465-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fttbku
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centipeda cunninghamii",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051464-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcgftq
title: Occurrence Download

description: A dataset containing 32704 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus pardalis"
 ]
}

 The dataset includes 32704 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051466-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16983788
title: Dataset for: High-performance machine learning for peptide classification from nanopore translocation events, leveraging event kinetics and duration filtering

description: Abstract

Understanding single-molecule translocation dynamics through biological nanopores is fundamental to advancing next-generation biosensing and sequencing technologies. Here, using the anthrax toxin protective antigen nanopore, we describe a high-performance machine learning (ML) framework for classifying a diverse series of guest-host peptides based on individual translocation events. The approach leverages carefully engineered, event-level biophysical features extracted from either scaled current and conductance state sequences. Through systematic UMAP analysis of this feature space, we reveal that filtering away the shortest events effectively enriches the dataset with more discriminative longer events, leading to improved classification. Various deep learning (DL) and traditional ML architectures, including convolutional neural networks (CNN), temporal convolutional networks (TCN), and eXtreme Gradient Boosting (XGBoost), were investigated. The dual-input CNN-Dense model, which utilized current sequences and features, achieved strong classification performance (accuracy ~0.80). However, the most robust classification was achieved with XGBoost acting solely on the engineered feature set, demonstrating superior performance (accuracy ~0.90). This ML approach provided a significant computational advantage in both training and inference over DL models. Notably, these models consistently discriminated between peptides differing only in backbone stereochemistry, highlighting the exquisite sensitivity of the nanopore to subtle conformational dynamics. These findings underscore that carefully engineered event-level features, particularly from longer translocations, combined with efficient tree-based models, offer a highly effective and computationally favorable strategy for high-fidelity peptide classification for biosensing applications.
DOI: 10.5281/zenodo.17273855
title: Dataset for: High-performance machine learning for peptide classification from nanopore translocation events, leveraging event kinetics and duration filtering

description: Abstract

Understanding single-molecule translocation dynamics through biological nanopores is fundamental to advancing next-generation biosensing and sequencing technologies. Here, using the anthrax toxin protective antigen nanopore, we describe a high-performance machine learning (ML) framework for classifying a diverse series of guest-host peptides based on individual translocation events. The approach leverages carefully engineered, event-level biophysical features extracted from either scaled current and conductance state sequences. Through systematic UMAP analysis of this feature space, we reveal that filtering away the shortest events effectively enriches the dataset with more discriminative longer events, leading to improved classification. Various deep learning (DL) and traditional ML architectures, including convolutional neural networks (CNN), temporal convolutional networks (TCN), and eXtreme Gradient Boosting (XGBoost), were investigated. The dual-input CNN-Dense model, which utilized current sequences and features, achieved strong classification performance (accuracy ~0.80). However, the most robust classification was achieved with XGBoost acting solely on the engineered feature set, demonstrating superior performance (accuracy ~0.90). This ML approach provided a significant computational advantage in both training and inference over DL models. Notably, these models consistently discriminated between peptides differing only in backbone stereochemistry, highlighting the exquisite sensitivity of the nanopore to subtle conformational dynamics. These findings underscore that carefully engineered event-level features, particularly from longer translocations, combined with efficient tree-based models, offer a highly effective and computationally favorable strategy for high-fidelity peptide classification for biosensing applications.
DOI: 10.15468/dl.p7eae2
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus ferdinandi-coburgii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 171 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051467-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17273907
title: Psoriasis, Hashimoto and Schizophrenia within One Family: A Case Study Supporting the Autoimmune Spectrum Hypothesis

description: Psoriasis, Hashimoto and Schizophrenia within One Family: A Case Study Supporting the Autoimmune Spectrum Hypothesis
DOI: 10.26023/c5rp-6x1t-2f0k
title: ACE-ASIA: Gosan (Kosan) radiometers. Version 1.0

description: This data set contains continuous daytime measurements of direct and downwelling diffuse solar irradiances and spectral optical depth made during the ACE-Asia project at the Gosan(Kosan) surface site on Cheju Island, South Korea. This data set contains a tab delimited ASCII text file. It can also be downloaded as a Microsoft Excel file.
DOI: 10.15468/dl.c45ed5
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheirolophus sempervirens",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051468-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dc3dh8
title: Occurrence Download

description: A dataset containing 161874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mugil cephalus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 161874 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051411-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238643
title: Dynamic Time Warping of Physiologic Synchrony Predicts High Stakes Interpersonal Trust

description: We trust strangers every day. Deciding to trust another depends on the social and legal environments that influence calculative trust as well as unconsciously processed neural signals. Moreover, unenforceable communication ("cheap talk") has been shown to increase cooperative behaviors. Herein we test whether neurophysiologic synchrony during pre-decision communication explains why one would trust a stranger when the money at risk is meaningful. Working-age adults discussed how to share $480 before making sequential decisions in private. The social interaction was structured so that the first decision-maker had to sacrifice money s/he controlled by sending it to the second decision-maker in order to grow the money at stake. High-frequency neurophysiology was captured during communication and two measures of neural synchrony, intersubject correlation and dynamic time warping, were evaluated for their predictive accuracy. We found that the dynamic time warping of synchrony predicted trust with a stranger with 60% accuracy, a 15% improvement over the accuracy using the intersubject correlation measure of synchrony. Our findings demonstrate that dynamic time warping is a more effective measure of neurophysiologic synchrony, leading to new insights into how communication about how to share a meaningful amount of money influences the decision to trust a stranger.
DOI: 10.3886/e238643v1
title: Dynamic Time Warping of Physiologic Synchrony Predicts High Stakes Interpersonal Trust

description: We trust strangers every day. Deciding to trust another depends on the social and legal environments that influence calculative trust as well as unconsciously processed neural signals. Moreover, unenforceable communication ("cheap talk") has been shown to increase cooperative behaviors. Herein we test whether neurophysiologic synchrony during pre-decision communication explains why one would trust a stranger when the money at risk is meaningful. Working-age adults discussed how to share $480 before making sequential decisions in private. The social interaction was structured so that the first decision-maker had to sacrifice money s/he controlled by sending it to the second decision-maker in order to grow the money at stake. High-frequency neurophysiology was captured during communication and two measures of neural synchrony, intersubject correlation and dynamic time warping, were evaluated for their predictive accuracy. We found that the dynamic time warping of synchrony predicted trust with a stranger with 60% accuracy, a 15% improvement over the accuracy using the intersubject correlation measure of synchrony. Our findings demonstrate that dynamic time warping is a more effective measure of neurophysiologic synchrony, leading to new insights into how communication about how to share a meaningful amount of money influences the decision to trust a stranger.
DOI: 10.15468/dl.chyfe5
title: Occurrence Download

description: A dataset containing 995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus formosana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 995 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051469-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aeugb2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium canum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051470-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpdwk9
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium canum",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051472-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcaa6q
title: Occurrence Download

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

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051471-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/dnjz-7wdc-030h
title: ACE-ASIA: NSF/NCAR C-130 Auxiliary Sampler Bulk Aerosol Mass of Anions and Cations. Version 1.0

description: This data was collected from the NCAR/NSF C-130 during the ACE-Asia program. It consists of samples collected using a 90mm auxiliary Teflon filter sampler (AUX) and analyzed using ion chromatography on site. This dataset has been updated 12 May 2004. For details, see the README file.
DOI: 10.15468/dl.s8k7ye
title: Occurrence Download

description: A dataset containing 3584489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.05303 32.38359,-112.84258 32.38359,-112.84258 37.55777,-121.05303 37.55777,-121.05303 32.38359))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 3584489 records from 504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051431-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8jx2h
title: Occurrence Download

description: A dataset containing 15753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philypnodon grandiceps",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15753 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051473-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cccm5v
title: Occurrence Download

description: A dataset containing 5801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus hirsuta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5801 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051474-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vda5t6
title: Occurrence Download

description: A dataset listing the 28292 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 28292 records were derived from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017645-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3087708/2554583
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087709/2554584
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087710/2554585
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087711/2554586
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087712/2554587
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087713/2554588
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087714/2554589
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087715/2554590
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087716/2554591
title: Data for EMSL Project 51287 from April 2024