cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/12265932
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ajwr6j
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.50349 40.811,0.33494 39.50889,1.53539 38.06007,5.13673 40.04459,2.50349 40.811))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bufotes balearicus (Boettger, 1880)"
 ]
}

 The dataset includes 48 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066870-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxsxtv
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Japan, Korea, Republic of, Korea (Democratic People’s Republic of))",
 "TaxonKey is Phoca largha Pallas, 1811",
 "Year 1990-2025"
 ]
}

 The dataset includes 89 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066871-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/pppm-sp69
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2017-07-11
DOI: 10.25326/afcx-kb92
title: Atmospheric simulation chamber study: alpha-pinene + NO3 - Aerosol study - particle formation - 2017-11-02
DOI: 10.25326/jw4q-dd46
title: Atmospheric simulation chamber study: limonene + NO3 - Aerosol study - particle formation - 2017-11-01
DOI: 10.25326/b98s-3k16
title: Atmospheric simulation chamber study: m-cresol + OH - Aerosol study - particle formation - 2017-09-05
DOI: 10.25326/sqdv-2j87
title: Atmospheric simulation chamber study: limonene + OH - Aerosol study - particle formation - 2017-11-03
DOI: 10.25326/07d0-z802
title: Atmospheric simulation chamber study: m-cresol + NO3 - Aerosol study - particle formation - 2017-07-25
DOI: 10.25326/35p6-0h94
title: Atmospheric simulation chamber study: m-cresol + NO3 - Aerosol study - particle formation - 2017-09-01
DOI: 10.25326/6qp4-sa61
title: Atmospheric simulation chamber study: m-cresol + NO3 - Aerosol study - particle formation - 2017-08-31
DOI: 10.25326/1fvy-pp74
title: Atmospheric simulation chamber study: m-cresol + OH - Aerosol study - particle formation - 2017-07-24
DOI: 10.25326/8bez-ky73
title: Atmospheric simulation chamber study: m-cresol + OH - Aerosol study - particle formation - 2017-07-24
DOI: 10.25326/bbjc-3m04
title: Atmospheric simulation chamber study: m-cresol + OH - Aerosol study - particle formation - 2017-09-04
DOI: 10.25326/p1ba-cm11
title: Atmospheric simulation chamber study: limonene + OH - Aerosol study - particle formation - 2017-07-20
DOI: 10.25326/3pny-8n13
title: Atmospheric simulation chamber study: limonene + NO3 - Aerosol study - particle formation - 2017-07-21
DOI: 10.25326/f14v-1d48
title: Atmospheric simulation chamber study: limonene + OH - Aerosol study - particle formation - 2017-11-27
DOI: 10.25326/87yt-xe34
title: Atmospheric simulation chamber study: limonene + NO3 - Aerosol study - particle formation - 2017-11-28
DOI: 10.25326/z90r-x531
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2017-07-14
DOI: 10.15468/dl.n56kct
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110 20,175 20,175 65,110 65,110 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Todarodes pacificus (Steenstrup, 1880)",
 "Year 2000-2025"
 ]
}

 The dataset includes 199 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066873-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/mhbt-f965
title: Atmospheric simulation chamber study: alpha-pinene + NO3 - Aerosol study - particle formation - 2017-07-03
DOI: 10.25326/mxhx-3r18
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2017-07-13
DOI: 10.25326/xwbg-mc82
title: Atmospheric simulation chamber study: alpha-pinene + NO3 - Aerosol study - particle formation - 2017-07-17
DOI: 10.5281/zenodo.15727467
title: Data and Code

description: The XLSX file contains the river CH4 data collected for this study. R scripts are the major codes for concentration/ebullition modelling.
DOI: 10.15468/dl.sw7cv8
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Cerradomys scotti (Langguth & Bonvicino, 2002)"
 ]
}

 The dataset includes 48 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066874-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15727458
title: Data from: Seroprevalence of respiratory coronaviruses of cattle and pigs in Belgian herds
DOI: 10.5281/zenodo.15727459
title: Data from: Seroprevalence of respiratory coronaviruses of cattle and pigs in Belgian herds
DOI: 10.5281/zenodo.15727381
title: IT HelpDesk Dataset
DOI: 10.5281/zenodo.15727382
title: IT HelpDesk Dataset
DOI: 10.5281/zenodo.15721286
title: Dataset - Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production

description: Dataset supporting the results presented in the paper entitled "Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production" by Narayanan, Jiang & Wang et al (https://doi.org/10.1016/j.ymben.2025.06.008).

Dataset contains:



steady_states.csv- The set of 5,000 steady state profiles consistent with the strain ST10284 built using pyTFA- The sample closest to the mean of all the profiles (index 3191) was used for kinetic model construction

ODE nonlinear runs aimed to verify NOMAD-derived designs.

Time-series growth data from Saccharomyces cerevisiae cultures measured using the Growth Profiler 960. The values represent green intensity (G-values) from a 24-well plate, recorded every 30 minutes.


The corresponding code can be found at the GitHub repository (https://github.com/EPFL-LCSB/NOMAD/tree/master/ME-p-coumaric-acid)
DOI: 10.5281/zenodo.15432260
title: Dataset - Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production

description: Dataset supporting the results presented in the paper entitled "Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production" by Narayanan, Jiang & Wang et al (https://doi.org/10.1016/j.ymben.2025.06.008).

Dataset contains:



steady_states.csv- The set of 5,000 steady state profiles consistent with the strain ST10284 built using pyTFA- The sample closest to the mean of all the profiles (index 3191) was used for kinetic model construction

ODE nonlinear runs aimed to verify NOMAD-derived designs.

Time-series growth data from Saccharomyces cerevisiae cultures measured using the Growth Profiler 960. The values represent green intensity (G-values) from a 24-well plate, recorded every 30 minutes.


The corresponding code can be found at the GitHub repository (https://github.com/EPFL-LCSB/NOMAD/tree/master/ME-p-coumaric-acid)
DOI: 10.48802/owey.vwkw1tv_
title: Demographic and medical data collected from the electronic Case Report Form (ecRF) in the Milieu Intérieur cohort Phase 3

description: A longitudinal resampling of 415 donors from the original Milieu Intérieur cohort (established in 2012-2013,) was performed in 2022 to evaluate how immune responses vary over time and test whether immune states can predict future disease development. The RedCap questionnaire collected variables ranging from socio-demographic (family status, income, occupational status, educational level, nutritional habits) to medical informations (medical history, Covid infection, infectious diseases, vaccinations, cancers, physiological measurements). The dataset includes txt files in TSV format containing the processed data, in the form of a matrix with 415 subjects as rows and collected variables as columns.
description: As for the original Milieu Intérieur study, donors were recruited at Biotrial, Rennes, France (Contract Research Organization, SIREN: 351 643 523), resulting in the resampling of 415 donors from the original cohort. Donors were interviewed and sampled during a single visit at Biotrial (Rennes, France) between the period of 14th March 2022 and 12th October 2022. After completing a RedCap-based healthcare and lifestyle questionnaire with a medical practitioner, all donors underwent a complete medical check, as originally described.
DOI: 10.15468/dl.gu5f8m
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, Belgium, Austria, Switzerland, Luxembourg, Liechtenstein)",
 "Month is one of (June, July, August, September, October, November, December)",
 "TaxonKey is Dreissena polymorpha (Pallas, 1771)",
 "Year 2023-2023"
 ]
}

 The dataset includes 183 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066878-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbjryj
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oryza rufipogon Griff."
 ]
}

 The dataset includes 146 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066880-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12266014
title: e-IPO Indonesia Data - Investment
DOI: 10.5281/zenodo.15727473
title: Extended Data for "Beyond Biology: AI as Family and the Future of Human Bonds and Relationships"

description:  

Table 1 presents a structured comparative analysis of emerging AI systems that emulate the roles of family members, detailing their primary functions, advantages, and inherent limitations. It further examines the ethical challenges and cultural contexts that shape their acceptance across societies. By positioning each tool within relevant theoretical and ethical frameworks, the table offers critical insights into how AI is reshaping the concept of kinship and the evolving dynamics of human-AI family relationships.

Table 2 matrix illustrates the varying degrees of cultural, ethical, and policy-based acceptance of emotionally intelligent AI across global regions. Symbolic coding denotes acceptance levels: High (Green cell), Moderate (Yellow cell), and Low (Orange cell). Data is synthesized from empirical studies, policy reports, and ethnographic analyses. These acceptance patterns are shaped by regional differences in legal frameworks, cultural norms regarding machine intimacy, religious considerations, and strategic investments in affective AI and eldercare robotics. Refer for detailed source citations.

Table 3 matrix synthesizes the ethical and theological stances of major world religions on emotionally intelligent AI within familial contexts. Acceptance levels—categorized as High (Green), Moderate (Yellow), Low (Orange)—reflect doctrinal interpretations, spiritual philosophies, and emerging religious commentaries on AI's roles as caregivers, companions, ancestors, and moral agents. The classification is informed by doctrinal texts, scholarly articles, and contemporary religious-ethical debates cited in the references. While individual interpretations may vary within each tradition, the matrix offers a comparative overview of prevailing religious orientations toward AI in family life.
DOI: 10.5281/zenodo.15727474
title: Extended Data for "Beyond Biology: AI as Family and the Future of Human Bonds and Relationships"

description:  

Table 1 presents a structured comparative analysis of emerging AI systems that emulate the roles of family members, detailing their primary functions, advantages, and inherent limitations. It further examines the ethical challenges and cultural contexts that shape their acceptance across societies. By positioning each tool within relevant theoretical and ethical frameworks, the table offers critical insights into how AI is reshaping the concept of kinship and the evolving dynamics of human-AI family relationships.

Table 2 matrix illustrates the varying degrees of cultural, ethical, and policy-based acceptance of emotionally intelligent AI across global regions. Symbolic coding denotes acceptance levels: High (Green cell), Moderate (Yellow cell), and Low (Orange cell). Data is synthesized from empirical studies, policy reports, and ethnographic analyses. These acceptance patterns are shaped by regional differences in legal frameworks, cultural norms regarding machine intimacy, religious considerations, and strategic investments in affective AI and eldercare robotics. Refer for detailed source citations.

Table 3 matrix synthesizes the ethical and theological stances of major world religions on emotionally intelligent AI within familial contexts. Acceptance levels—categorized as High (Green), Moderate (Yellow), Low (Orange)—reflect doctrinal interpretations, spiritual philosophies, and emerging religious commentaries on AI's roles as caregivers, companions, ancestors, and moral agents. The classification is informed by doctrinal texts, scholarly articles, and contemporary religious-ethical debates cited in the references. While individual interpretations may vary within each tradition, the matrix offers a comparative overview of prevailing religious orientations toward AI in family life.
DOI: 10.15468/dl.qetzcp
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Gonystylus Teijsm. & Binn.",
 "Year 1965-1984"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066882-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8391
title: ECLectic. WP3 Task 3.1. Gamma Correction and Color Space Transformations for Quantitative Analysis of Electrochemiluminescence Images Using Smartphone Cameras

description: This dataset was produced as part of the ECLectic project and contains data related to the electrochemiluminescence (ECL) response of [Ru(bpy)₃]²⁺ under electrochemical stimulation. It includes potentiostat measurements (cyclic voltammetry and chronoamperometry), video recordings of the electrogenerated chemiluminescent response, and reference videos for color calibration. The dataset supports the development of standardized image-based quantification workflows, addressing challenges such as gamma correction and device-dependent variability. It enables analysis in multiple color spaces (RGB, CIEXYZ, CIELAB) to identify optimal channels for ECL signal quantification and supports both linear and nonlinear modeling approaches.
DOI: 10.5281/zenodo.15727541
title: Acceptance of educational AI
DOI: 10.5281/zenodo.15727542
title: Acceptance of educational AI
DOI: 10.15468/dl.mnvhmw
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.50349 40.811,0.33494 39.50889,1.53539 38.06007,5.13673 40.04459,2.50349 40.811))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bufo viridis Laurenti, 1768"
 ]
}

 The dataset includes 109 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066884-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffsgnm
title: Occurrence Download

description: A dataset containing 157426603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "Year 2020-2020"
 ]
}

 The dataset includes 157426603 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066831-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15727565
title: The results of analysis at  T1/T0 for all samples are reported
DOI: 10.5281/zenodo.15727566
title: The results of analysis at  T1/T0 for all samples are reported
DOI: 10.15468/dl.vbm2hf
title: Occurrence Download

description: A dataset containing 5141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is TRUE",
 "TaxonKey is one of (Macaca brunnescens (Matschie, 1901), Macaca fascicularis (Raffles, 1821), Macaca hecki (Matschie, 1901), Macaca maura (Schinz, 1825), Macaca nemestrina (Linnaeus, 1766), Macaca nigra (Desmarest, 1822), Macaca nigrescens (Temminck, 1849), Macaca ochreata (Ogilby, 1841), Macaca pagensis (Miller, 1903), Macaca siberu Fuentes & Olson, 1995, Macaca tonkeana (Meyer, 1899), Nasalis larvatus (van Wurmb, 1787), Presbytis bicolor Aimi & Bakar, 1992, Presbytis canicrus Miller, 1934, Presbytis chrysomelas (Müller, 1838), Presbytis comata (Desmarest, 1822), Presbytis fredericae (Sody, 1930), Presbytis frontata (Müller, 1838), Presbytis hosei (Thomas, 1889), Presbytis melalophos (Raffles, 1821), Presbytis mitrata Eschscholtz, 1821, Presbytis natunae (Thomas & Hartert, 1894), Presbytis percura Lyon, 1908, Presbytis potenziani (Bonaparte, 1856), Presbytis rubicunda (Müller, 1838), Presbytis sabana (Thomas, 1893), Presbytis siamensis (Müller & Schlegel, 1841), Presbytis siberu (Chasen & Kloss, 1928), Presbytis sumatrana (Müller & Schlegel, 1841), Presbytis thomasi (Collett, 1893), Simias concolor Miller, 1903, Trachypithecus auratus (É.Geoffroy Saint-Hilaire, 1812), Trachypithecus cristatus (Raffles, 1821))"
 ]
}

 The dataset includes 5141 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066889-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9znxwy
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oryza rufipogon Griff."
 ]
}

 The dataset includes 146 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066888-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvwnrn
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CO1 Amplicon Sequence Variants of soil and leaf litter arthropod communities collected at Malaise traps from the Insect Biome Atlas project in Sweden",
 "TaxonKey is BOLD:ADX5586"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066891-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15717907
title: The dataset used by TGEOS

description: The multi-scenario datasets for training and validation of TGEOS, along with the corresponding GEOS-Chem outputs.
DOI: 10.5281/zenodo.15717908
title: The dataset used by TGEOS

description: The multi-scenario datasets for training and validation of TGEOS, along with the corresponding GEOS-Chem outputs.
DOI: 10.25326/e0ep-qr41
title: Atmospheric simulation chamber study: ortho-cresol+isoprene + OH - Aerosol study - particle formation - 2019-04-24
DOI: 10.25326/ffte-ed96
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2019-02-28
DOI: 10.25326/59rg-y252
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2019-07-13
DOI: 10.25326/rb9y-af97
title: Atmospheric simulation chamber study: isoprene + OH - Aerosol study - particle formation - 2019-04-02
DOI: 10.25326/0qta-sm15
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2019-03-28
DOI: 10.25326/gmzk-yx22
title: Atmospheric simulation chamber study: ortho-cresol + OH - Aerosol study - particle formation - 2019-07-16
DOI: 10.25326/5aj0-6150
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2019-07-06
DOI: 10.25326/gxv6-3646
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2019-03-29
DOI: 10.25326/3atz-0780
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2019-07-13
DOI: 10.25326/vm0n-q983
title: Atmospheric simulation chamber study: alpha-pinene + OH - Aerosol study - particle formation - 2019-04-17
DOI: 10.25326/g0x4-tb38
title: Atmospheric simulation chamber study: ortho-cresol + OH - Aerosol study - particle formation - 2019-04-19
DOI: 10.25326/rngc-1628
title: Atmospheric simulation chamber study: ortho-cresol + OH - Aerosol study - particle formation - 2019-07-16
DOI: 10.25326/y7rc-mk49
title: Atmospheric simulation chamber study: ortho-cresol + OH - Aerosol study - particle formation - 2019-04-12
DOI: 10.25326/3wy2-d921
title: Atmospheric simulation chamber study: isoprene + OH - Aerosol study - particle formation - 2019-04-10
DOI: 10.25326/4xsn-ab47
title: Atmospheric simulation chamber study: isoprene + OH - Aerosol study - particle formation - 2019-04-02
DOI: 10.25326/gv1j-ce17
title: Atmospheric simulation chamber study: isoprene+ortho-cresol + OH - Aerosol study - particle formation - 2019-04-24
DOI: 10.25326/vtcr-kd24
title: Atmospheric simulation chamber study: isoprene+ortho-cresol + OH - Aerosol study - particle formation - 2019-04-18
DOI: 10.25326/7nbs-c877
title: Atmospheric simulation chamber study: alpha-pinene+ortho-cresol + OH - Aerosol study - particle formation - 2019-04-23
DOI: 10.25326/jbmd-1d11
title: Atmospheric simulation chamber study: alpha-pinene+ortho-cresol + OH - Aerosol study - particle formation - 2019-07-09
DOI: 10.25326/3gch-nt90
title: Atmospheric simulation chamber study: alpha-pinene+isoprene + OH - Aerosol study - particle formation - 2019-04-05
DOI: 10.25326/p859-2t83
title: Atmospheric simulation chamber study: alpha-pinene+isoprene+ortho-cresol + OH - Aerosol study - particle formation - 2019-07-30
DOI: 10.25326/sy6a-h369
title: Atmospheric simulation chamber study: alpha-pinene+isoprene + OH - Aerosol study - particle formation - 2019-04-08
DOI: 10.25326/28km-b382
title: Atmospheric simulation chamber study: alpha-pinene+isoprene+ortho-cresol + OH - Aerosol study - particle formation - 2019-07-19
DOI: 10.25326/e3wh-dx73
title: Atmospheric simulation chamber study: alpha-pinene+isoprene + OH - Aerosol study - particle formation - 2019-04-03
DOI: 10.25326/5nxy-wn10
title: Atmospheric simulation chamber study: alpha-pinene+isoprene+ortho-cresol + OH - Aerosol study - particle formation - 2019-07-15