cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18452395
title: A Multidimensional Bayesian Framework for Modeling Collective Dynamics in Human-AI Symbiosis: Integrating Postphenomenological, Biological, and Engineering Perspectives

description: This conceptual paper proposes a novel multidimensional Bayesian framework for modeling the collective dynamics emerging from human-AI symbiotic interactions. Drawing on postphenomenological insights, we conceptualize human-technology relations as co-constitutive processes that transcend individual agency, incorporating biological analogies (e.g., neural plasticity and ecosystem resilience) and engineering principles (e.g., feedback control systems and fault-tolerant design). The framework employs Bayesian inference and advanced active inference principles to quantify uncertainty and minimize surprise in decision-making processes, supported by rigorous mathematical derivations including stochastic differential equations, detailed free energy minimization, Itô calculus solutions, Fokker-Planck equations, and policy evaluation, Python-based agent-based simulations calibrated using parameters derived from real-world datasets, advanced sensitivity analysis with Sobol indices computed via Monte Carlo methods, quantitative statistics including mutual information, Bayesian evidence synthesis, uncertainty quantification via Kullback-Leibler divergence, and falsifiability assessments. We demonstrate the model's applicability through a detailed case study in robotic surgery, with extensions to other scenarios such as healthcare AI, social robotics, medical robotics, and smart cities, providing a manufacturing roadmap for AI system deployment, laboratory validation protocols, and experimental designs. This work advances the discourse in human-technology relations by offering a falsifiable, replicable model that bridges philosophical, scientific, and practical domains, with implications for ethical AI design in collective contexts.
DOI: 10.5281/zenodo.18453054
title: A Multidimensional Bayesian Framework for Modeling Collective Dynamics in Human-AI Symbiosis: Integrating Postphenomenological, Biological, and Engineering Perspectives

description: This conceptual paper proposes a novel multidimensional Bayesian framework for modeling the collective dynamics emerging from human-AI symbiotic interactions. Drawing on postphenomenological insights, we conceptualize human-technology relations as co-constitutive processes that transcend individual agency, incorporating biological analogies (e.g., neural plasticity and ecosystem resilience) and engineering principles (e.g., feedback control systems and fault-tolerant design). The framework employs Bayesian inference and advanced active inference principles to quantify uncertainty and minimize surprise in decision-making processes, supported by rigorous mathematical derivations including stochastic differential equations, detailed free energy minimization, Itô calculus solutions, Fokker-Planck equations, and policy evaluation, Python-based agent-based simulations calibrated using parameters derived from real-world datasets, advanced sensitivity analysis with Sobol indices computed via Monte Carlo methods, quantitative statistics including mutual information, Bayesian evidence synthesis, uncertainty quantification via Kullback-Leibler divergence, and falsifiability assessments. We demonstrate the model's applicability through a detailed case study in robotic surgery, with extensions to other scenarios such as healthcare AI, social robotics, medical robotics, and smart cities, providing a manufacturing roadmap for AI system deployment, laboratory validation protocols, and experimental designs. This work advances the discourse in human-technology relations by offering a falsifiable, replicable model that bridges philosophical, scientific, and practical domains, with implications for ethical AI design in collective contexts.
DOI: 10.15468/dl.hnv3p3
title: Occurrence Download

description: A dataset containing 2055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Abies",
 "Year 1970-2026"
 ]
}

 The dataset includes 2055 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006212-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kd3gq
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Comptonella microcarpa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 70 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006214-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6m525r
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Yucca filifera"
 ]
}

 The dataset includes 1371 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006213-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18453060
title: MUSNAD ILYHINING HAZF HOLATI ("JAVAHIRU-L-BALAG'A" ASARI ASOSIDA)

description: Ushbu tezisda gapning bosh bo‘laklaridan biri hisoblanuvchi “musnad ilayhi” (ega va unga teng bo‘laklar) tushunchasining qo‘llanish holatlaridan biri – hazf holati va bu holat qo‘llanilishi natijasida kelib chiquvchi ma’nolar, asosan, Ahmad Hoshimiyning “Javahiru-l-balag‘a” asariga asoslangan hamda zaruriy o‘rinlarda boshqa manbalarga ham murojaat qilingan holda ochib berildi.
DOI: 10.5281/zenodo.18453059
title: MUSNAD ILYHINING HAZF HOLATI ("JAVAHIRU-L-BALAG'A" ASARI ASOSIDA)

description: Ushbu tezisda gapning bosh bo‘laklaridan biri hisoblanuvchi “musnad ilayhi” (ega va unga teng bo‘laklar) tushunchasining qo‘llanish holatlaridan biri – hazf holati va bu holat qo‘llanilishi natijasida kelib chiquvchi ma’nolar, asosan, Ahmad Hoshimiyning “Javahiru-l-balag‘a” asariga asoslangan hamda zaruriy o‘rinlarda boshqa manbalarga ham murojaat qilingan holda ochib berildi.
DOI: 10.5281/zenodo.18453056
title: Raw Data for Redefining Creativity in AI Era: Bloom's Taxonomy Framework and Peer Interation Eleveate High-Order Thinking Skills
DOI: 10.5281/zenodo.18453055
title: Raw Data for Redefining Creativity in AI Era: Bloom's Taxonomy Framework and Peer Interation Eleveate High-Order Thinking Skills
DOI: 10.15468/dl.2zv29g
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conchocarpus macrophyllus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 460 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006216-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18453073
title: MUSNAD ILAYHI: STILISTIK VA PRAGMATIK XUSUSIYATLAR (HAZF HOLATI MISOLIDA)

description: Ushbu tezisda gap bo‘laklarining gapda zikr qilinishi yoki tushurib qoldirilishi, odatiy o‘rnidan oldin yoki keyin keltirilishi, gapda aniq yoki noaniq holatda qo‘llanilishi kabi stilistik hodisalar va ular natijasida hosil qilinuvchi semantik qatlamning o‘zaro munosabati hazf holati misolida yoritildi.
DOI: 10.5281/zenodo.18453074
title: MUSNAD ILAYHI: STILISTIK VA PRAGMATIK XUSUSIYATLAR (HAZF HOLATI MISOLIDA)

description: Ushbu tezisda gap bo‘laklarining gapda zikr qilinishi yoki tushurib qoldirilishi, odatiy o‘rnidan oldin yoki keyin keltirilishi, gapda aniq yoki noaniq holatda qo‘llanilishi kabi stilistik hodisalar va ular natijasida hosil qilinuvchi semantik qatlamning o‘zaro munosabati hazf holati misolida yoritildi.
DOI: 10.15468/dl.43ryv6
title: Occurrence Download

description: A dataset containing 9111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus aliena, Quercus durata, Quercus palustris, Quercus mohriana, Quercus jolonensis)",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2026",
 "CoordinateUncertaintyInMeters is less than or equal to 3000"
 ]
}

 The dataset includes 9111 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006215-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gscxpj
title: Occurrence Download

description: A dataset containing 2275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Correa reflexa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2275 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006218-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18453083
title: KLASSIK DETEKTIV JANRNING BELGILARI VA SHERLOK HOLMS HIKOYALARIDA ULARNING AMALGA OSHISHI

description: Ushbu maqolada klassik detektiv janrning asosiy belgilari va ularning Artur Konan Doylning Sherlok Xolms haqidagi hikoyalarida qanday amalga oshishi tahlil qilinadi. Tadqiqot jarayonida janrning mantiqiy izchillik, jinoyat–tergov–yechim ketma-ketligi, sir va intriga yaratish, shuningdek, qahramonlar tizimi kabi asosiy xususiyatlari o‘rganiladi. Tahlil davomida, Sherlok Holms qahramoni mantiqiy tafakkuri, deduktiv metod va kuzatuvchanligi bilan klassik detektiv janr modelini mukammal namoyon etadi. Dr. Uotsonning hikoyachi sifatidagi roli esa o‘quvchining voqealarni kuzatishini osonlashtiradi va syujetda sirni asta-sekin ochish mexanizmini kuchaytiradi. Shu bilan birga, viktorian jamiyat konteksti va ijtimoiy muammolar hikoyalarni nafaqat mantiqiy, balki badiiy mazmunga boyitadi.

Xulosa sifatida, Sherlok holms hikoyalari klassik detektiv janrning belgilari va strukturaviy qonuniyatlarini namoyon etuvchi asosiy model sifatida baholanadi, bu esa janrni yanada mustahkamlash va rivojlantirishda muhim ahamiyat kasb etadi.
DOI: 10.5281/zenodo.18453084
title: KLASSIK DETEKTIV JANRNING BELGILARI VA SHERLOK HOLMS HIKOYALARIDA ULARNING AMALGA OSHISHI

description: Ushbu maqolada klassik detektiv janrning asosiy belgilari va ularning Artur Konan Doylning Sherlok Xolms haqidagi hikoyalarida qanday amalga oshishi tahlil qilinadi. Tadqiqot jarayonida janrning mantiqiy izchillik, jinoyat–tergov–yechim ketma-ketligi, sir va intriga yaratish, shuningdek, qahramonlar tizimi kabi asosiy xususiyatlari o‘rganiladi. Tahlil davomida, Sherlok Holms qahramoni mantiqiy tafakkuri, deduktiv metod va kuzatuvchanligi bilan klassik detektiv janr modelini mukammal namoyon etadi. Dr. Uotsonning hikoyachi sifatidagi roli esa o‘quvchining voqealarni kuzatishini osonlashtiradi va syujetda sirni asta-sekin ochish mexanizmini kuchaytiradi. Shu bilan birga, viktorian jamiyat konteksti va ijtimoiy muammolar hikoyalarni nafaqat mantiqiy, balki badiiy mazmunga boyitadi.

Xulosa sifatida, Sherlok holms hikoyalari klassik detektiv janrning belgilari va strukturaviy qonuniyatlarini namoyon etuvchi asosiy model sifatida baholanadi, bu esa janrni yanada mustahkamlash va rivojlantirishda muhim ahamiyat kasb etadi.
DOI: 10.15468/dl.mreepq
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasylirion lucidum"
 ]
}

 The dataset includes 179 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006219-260129131611470/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.30452750
title: Global Reservoir Observed Water Levels (GROWL) dataset

description: The GROWL dataset provides comprehensive reservoir information, including static attributes and long-term water level or storage time series. The dataset consists of four main components:GROWL_Metadata.csv: Contains static attributes for each of the 4,197 reservoirs in the dataset, including identifiers, names, geographic coordinates, and links to the original data sources.GROWL_Timeseries: A directory containing the complete long-term time series of water level or storage for each reservoir, organized as individual files corresponding to each reservoir.GROWL_Location: A point shapefile showing the geographic locations of stations and reservoirs, referenced to the WGS84 coordinate system (EPSG:4326).README.md: A documentation file summarizing the GROWL dataset structure, contents, and usage, and providing guidance for interpreting metadata and citing the dataset.For an interactive visualization of the dataset (Google Earth Engine App), please visit:<br>https://ee-zmy18888536368.projects.earthengine.app/view/growl
DOI: 10.6084/m9.figshare.30452750.v1
title: Global Reservoir Observed Water Levels (GROWL) dataset

description: The GROWL dataset provides comprehensive reservoir information, including static attributes and long-term water level or storage time series. The dataset consists of four main components:GROWL_Metadata.csv: Contains static attributes for each of the 4,197 reservoirs in the dataset, including identifiers, names, geographic coordinates, and links to the original data sources.GROWL_Timeseries: A directory containing the complete long-term time series of water level or storage for each reservoir, organized as individual files corresponding to each reservoir.GROWL_Location: A point shapefile showing the geographic locations of stations and reservoirs, referenced to the WGS84 coordinate system (EPSG:4326).README.md: A documentation file summarizing the GROWL dataset structure, contents, and usage, and providing guidance for interpreting metadata and citing the dataset.For an interactive visualization of the dataset (Google Earth Engine App), please visit:<br>https://ee-zmy18888536368.projects.earthengine.app/view/growl
DOI: 10.15468/dl.6khmxu
title: Occurrence Download

description: A dataset containing 33566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Xanthium spinosum"
 ]
}

 The dataset includes 33566 records from 712 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006217-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46mw3b
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neelipleona",
 "Year 1999-2001",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 263 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049729-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/i2lni5
title: A collection of global geotagged tweets with COVID-19 related mentions in 2020.

description: A dataset of over 1.75 million global geotagged tweets that contain COVID-19 related keywords or hashtags, updated weekly from January 15 to December 31, 2020, as well as the summary of totals by national and subnational levels. All individual tweet data are geotagged at national levels, and US tweets are geotagged at subnational levels.
DOI: 10.7910/dvn/i9tgte
title: Longitudinal high-dimensional analysis identifies immune features associating with response to anti-PD-1 immunotherapy

description: Longitudinal high-dimensional analysis identifies immune features associating with response to anti-PD-1 immunotherapy
DOI: 10.7910/dvn/29015
title: Bolivia Social Accounting Matrix, 2012

description: The Bolivia Social Accounting Matrix (SAM), 2012 was built with a focus on analyzing the structure and importance of the agricultural sector and gender differences in the Bolivian economy, and understanding the linkages between agricultural production, factor income distribution, and households' incomes and expenditures. It is the most detailed, openly accessible SAM for Bolivian economy to date. The 2012 Input-Output (I-O) was the main data source used in building the disaggregated activity sector and commodity accounts of the 2012 Bolivia SAM.
description: Social Accounting Matrix (SAM)
description: EXCEL, 2013
DOI: 10.7910/dvn/cok6xe
title: Africa: Slavery and the World Economy

description: Data for Fig. 10.2 and Fig. 10.3 in Manning, "Africa: Slavery and the World Economy, 1700-1870," in Broadberry and Fukoa, eds., Cambridge Economic History of the Modern World (2021), Vol. 1.
description: Excel, null
DOI: 10.7910/dvn/gkbuuk
title: Raw Data for: Unrepresentative Big Surveys Significantly Overestimate US Vaccine Uptake

description: &lt;p&gt;
This Dataverse stores the &lt;b&gt;raw&lt;/b&gt; data analyzed in Bradley et al. The data is taken directly from public domains. Because links to these datasets may change or specifications may change, we store the versions used in Bradley et al. for preservation.
&lt;/p&gt;

&lt;p&gt;
See the paper and README in the Github https://github.com/vcbradley/ddc-vaccine-US for more details. Abstract of the paper below.
&lt;/p&gt;




&lt;p&gt;&lt;b&gt;Abstract&lt;/b&gt;: Accurate surveys are the primary tool for understanding public opinion towards and barriers preventing COVID-19 vaccine uptake. We compare three prominent surveys about vaccination in the US: Delphi-Facebook (n≈250,000 per week), Census Household Pulse (n≈75,000), and Axios-Ipsos (n≈1,000). We find that the two larger surveys are biased compared to the benchmark from the Centers for Disease Control and Prevention (CDC), and that their sample sizes lead to devastating overconfidence in those incorrect estimates. By April 26, 2021, Delphi-Facebook and Census Household Pulse estimated that at least 73% and 69% of US adults had received a first dose of COVID-19 vaccine, which was 16 and 12 percentage points higher, respectively, than the CDC's estimate (57%). Moreover, estimates of vaccine hesitancy disagree significantly between surveys -- we find that these differences cannot be explained entirely by Delphi-Facebook's under-representation of racial minorities and non-college educated adults. These are examples of the Big Data Paradox: when a confidence interval based on a large but biased sample exhibits both a seriously displaced center and a grossly underestimated width, thus leading us (confidently) away from the truth. With sufficient attention to quality control, small surveys like Axios-Ipsos can be far more reliable than large ones. We leverage a recently established data quality identity (Meng, Annals of Applied Statistics, 2018) to quantify sources of the estimation errors and to conduct a scenario analysis for implications on vaccine willingness and hesitancy. Our study quantifies how bias in large samples can lead to overconfidence in incorrect inferences, which is particularly problematic in studies, like those examined here, that inform high-stakes public policy decisions.&lt;/p&gt;
DOI: 10.7910/dvn/h83umd
title: [ Infinispan ] Normalized Requirement Files

description: The normalized requirements of Infinispan.
DOI: 10.7910/dvn/w2ubdl
title: Replication Data for: Intra-breath oscillometry is a sensitive test for assessing disease control in adults with severe asthma

description: Severe asthma dataset. Demographic, Asthma Control Test score and lung function data on 60 adults with severe asthma. Spirometry and oscillometry data.
DOI: 10.7910/dvn/29427
title: English Bacon: Co-partisan Bias in Intergovernmental Grant Allocation in England

description: Replication data and do file for the paper: "English Bacon: Co-partisan Bias in Intergovernmental Grant Allocation in England". The data contains information on central government grants and partisan composition of English local authorities 1992-2012.
DOI: 10.7910/dvn/cgd5ep
title: Wright Files I-Z Edited; Docketed Case: 24379
DOI: 10.7910/dvn/fgl1ls
title: hou00200c00006

description: Carter, Hamilton, recipient. Envelopes, various dates.
description: URN-3:FHCL.HOUGH:100182336
DOI: 10.7910/dvn/h8lx1v
title: Topological pumping of a 1D dipolar gas into strongly correlated prethermal states

description: Contains the data plotted in the figures of arXiv:2002.10475, in units as shown in the axis labels.
DOI: 10.7910/dvn/pmy766
title: Indonesian Palm Oil Export and Import

description: The database holds monthly and yearly data on the weight (expressed in kilogram) and value (expressed in $) of oil palm export and import from/to Indonesia. Data are organized by commodity type and country of destination or country of sources.
DOI: 10.7910/dvn/wctwrn
title: A90_3840.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/20aade94-f306-db61-ac22-901a7f720ecb'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/20aade94-f306-db61-ac22-901a7f720ecb
DOI: 10.7910/dvn/9icicy
title: Replication Data for: Not Just Conspiracy Theories: Vaccine Opponents and Proponents add to the COVID-19 ‘Infodemic’ on Twitter

description: These files contain the data required to replicate all findings in the referenced paper. Files include:

1) 2000_Account_IDs.txt -- a tab-separated text file listing the top 2000 accounts mentioning vaccine-related keywords in CY 2019.
2) users_ids.csv -- a comma-separated file listing all tweet IDs containing coronavirus-related keywords generated by each of the 2000 accounts. The first entry on each line is a username, followed by a list of tweet IDs.
3) users_botscores.txt -- a tab-separated text file listing the bot scores generated from querying Botometer on March 2, 2020. The first entry is the raw (English) bot score and the second entry is the CAP score. 
4) corona_topic_keys.txt -- the top 20 words for each of 35 topics generated using the LDA algorithm fit to all tweets listed in users_ids.csv
5) corona_doc_topics.txt -- LDA model topic results fit to each tweet in users_ids.csv. The second column corresponds to the tweet ID, and the following 35 columns are topic proportions for topics 0-34, respectively.
DOI: 10.7910/dvn/c0hytd
title: Replication Data for: Intrauterine Growth Restriction and Patent Ductus Arteriosus in Very Preterm Infants: A Systematic Review and Meta-Analysis

description: Excel database with all extracted data used for the meta-analysis and systematic review on growth restriction and patent ductus arteriosus
DOI: 10.7910/dvn/gkvohy
title: Replication Code for "Institutional Brokerage Networks: Facilitating Liquidity Provision"

description: Replication code and pseudo data for "Institutional Brokerage Networks: Facilitating Liquidity Provision"