cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17155002
title: Open Dataset of Research Papers on A No-Code Platform for Smart Building Simulation: Integrating Artificial Intelligence for Energy and Thermal Comfort Prediction

description: Buildings The building sector contributes over 40% of global energy consumption and one-third of greenhouse gas emissions, creating a dual challenge of reducing carbon footprints while maintaining indoor comfort. Traditional physics-based simulation platforms, such as EnergyPlus, provide accurate predictions but are computationally heavy and inaccessible to non-experts. Recent advances in Artificial Intelligence (AI)—including AutoML for automated model selection, Long Short-Term Memory (LSTM) networks for energy forecasting, and Reinforcement Learning (RL) for adaptive HVAC control—offer high predictive accuracy but remain code-intensive and difficult to implement in practice. This study develops a no-code smart building simulator that integrates AutoML, LSTM, and RL within a drag-and-drop interface, enabling accessible modeling of energy consumption and thermal comfort. A monitoring dashboard visualizes forecasts, comfort indices (PMV, PPD), and AI-driven recommendations while embedding compliance with Indonesia’s SE PUPR 22/2024 on Smart Buildings. Experimental results show that the simulator achieves reliable forecasting accuracy (RMSE < X, MAE < Y), reduces computational time compared to baseline simulations, and maintains thermal comfort with PPD ≤ 10%. The novelty of this research lies in unifying three elements rarely combined in prior studies: (i) AI adaptability through AutoML, LSTM, and RL; (ii) no-code accessibility for non-technical stakeholders; and (iii) regulatory compliance within national smart building standards. This integrative framework bridges the gap between research-oriented AI models and real-world building management, contributing both to sustainable building operations and policy-driven implementation.
DOI: 10.5281/zenodo.17155003
title: Open Dataset of Research Papers on A No-Code Platform for Smart Building Simulation: Integrating Artificial Intelligence for Energy and Thermal Comfort Prediction

description: Buildings The building sector contributes over 40% of global energy consumption and one-third of greenhouse gas emissions, creating a dual challenge of reducing carbon footprints while maintaining indoor comfort. Traditional physics-based simulation platforms, such as EnergyPlus, provide accurate predictions but are computationally heavy and inaccessible to non-experts. Recent advances in Artificial Intelligence (AI)—including AutoML for automated model selection, Long Short-Term Memory (LSTM) networks for energy forecasting, and Reinforcement Learning (RL) for adaptive HVAC control—offer high predictive accuracy but remain code-intensive and difficult to implement in practice. This study develops a no-code smart building simulator that integrates AutoML, LSTM, and RL within a drag-and-drop interface, enabling accessible modeling of energy consumption and thermal comfort. A monitoring dashboard visualizes forecasts, comfort indices (PMV, PPD), and AI-driven recommendations while embedding compliance with Indonesia’s SE PUPR 22/2024 on Smart Buildings. Experimental results show that the simulator achieves reliable forecasting accuracy (RMSE < X, MAE < Y), reduces computational time compared to baseline simulations, and maintains thermal comfort with PPD ≤ 10%. The novelty of this research lies in unifying three elements rarely combined in prior studies: (i) AI adaptability through AutoML, LSTM, and RL; (ii) no-code accessibility for non-technical stakeholders; and (iii) regulatory compliance within national smart building standards. This integrative framework bridges the gap between research-oriented AI models and real-world building management, contributing both to sustainable building operations and policy-driven implementation.
DOI: 10.15468/dl.hyw894
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larkinia grandis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 72 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015967-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17155076
title: Self-organizing map containing mixtures of NO2, O3, PM2.5, and temperature for Utah 2013-2016

description: This dataset contains a self-organizing map trained on weekly mean and max values for NO2, O3, PM2.5, and temperature for 1 km2 grid cells in Utah from 2013–2016. This is a high-resolution SOM, with 22,750 nodes. The SOM was created in order to link environmental mixtures to pregnancy outcomes for individuals based on the timing of their pregnancy and their residential location. Included in the data are:



U-matrix (.umx). Contains the average distance bewteen each node and its neighbors.

Feature weights (.wts). A codebook of each node's weights for features used in training.

Best-matching units (.bm). Assigns each observation in the spatiotemporal dataset to it's best-fitting node in the SOM surface.


See Skupin & Esperbé (2008) for an introduction to high-resolution SOMs and Agarwal & Skupin (2008) for additional guidance on SOMs.
DOI: 10.5281/zenodo.17155077
title: Self-organizing map containing mixtures of NO2, O3, PM2.5, and temperature for Utah 2013-2016

description: This dataset contains a self-organizing map trained on weekly mean and max values for NO2, O3, PM2.5, and temperature for 1 km2 grid cells in Utah from 2013–2016. This is a high-resolution SOM, with 22,750 nodes. The SOM was created in order to link environmental mixtures to pregnancy outcomes for individuals based on the timing of their pregnancy and their residential location. Included in the data are:



U-matrix (.umx). Contains the average distance bewteen each node and its neighbors.

Feature weights (.wts). A codebook of each node's weights for features used in training.

Best-matching units (.bm). Assigns each observation in the spatiotemporal dataset to it's best-fitting node in the SOM surface.


See Skupin & Esperbé (2008) for an introduction to high-resolution SOMs and Agarwal & Skupin (2008) for additional guidance on SOMs.
DOI: 10.15468/dl.ekh8b5
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "DatasetKey is one of (Herbario HSS Finca La Orden-Valdesequera (CICYTEX). Junta de Extremadura, iNaturalist Research-grade Observations)",
 "Geometry POLYGON((-6.89286 40.74364,-7.58967 40.80698,-7.51225 40.16649,-6.826 40.01516,-6.89286 40.74364))",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia dealbata",
 "Year 1979-2025"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015968-250914085247600/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/13101819
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30121735.v7
title: Logic 14 pdf NEW

description: Logic innovation
DOI: 10.25574/25871
title: Chandra X-ray Observatory ObsId 25871

description: Chandra Observations of The Most Distant Galaxy Protocluster Anchored by A Luminous Quasar at z=6.63
DOI: 10.25574/26554
title: Chandra X-ray Observatory ObsId 26554

description: Using the LMC to Understand X-ray Binary Evolution: Mind the Metallicity Gap
DOI: 10.15468/dl.zsredc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera issleri",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015970-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg8trf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvelinus salvelinoinsularis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015969-250914085247600/datasets/export for details.
DOI: 10.25574/26784
title: Chandra X-ray Observatory ObsId 26784

description: An Ultrafast Outflow Near the Peak of AGN Activity
DOI: 10.48623/aperta.286276
title: Synthesis, Biological Evaluation And Theoretical Calculation Of 2-Amino-3-Cyano-4-Phenylalaninquinolines: Anticancer Potential And Egfr Inhibition

description: Quinoline derivatives have attracted considerable attention due to their broad spectrum of biological activities, particularly their anticancer potential. In the present study, six novel 4-aminoquinoline derivatives bearing a phenylalanine methyl ester moiety were synthesized and structurally characterized. The cytotoxic activities of the compounds were evaluated against A549 and MCF7 cancer cell lines, as well as the healthy NIH3T3 cell line. Compounds <strong>4d</strong> and <strong>4e </strong>exhibited potent anticancer activity, with low IC₅₀ values, while showing no significant toxicity toward healthy cells. Additionally, these compounds demonstrated moderate inhibitory activity against the EGFR enzyme. Molecular docking studies were performed to reveal the binding modes of compounds <strong>4d </strong>and <strong>4e </strong>at the EGFR active site. To understand better their electronic structures and reactivity profiles, DFT calculations were performed to obtain frontier molecular orbital energies, global reactivity descriptors, dipole moments, and molecular electrostatic potential (MEP) maps. The theoretical data were correlated with the observed biological activities, revealing consistent trends particularly among the active compounds. Furthermore, theoretical NMR chemical shift calculations were also conducted for the synthesized molecules.
DOI: 10.25574/27088
title: Chandra X-ray Observatory ObsId 27088

description: Beyond the GRB jet: searching for the remnant of a neutron star merger
DOI: 10.15468/dl.u2ygnu
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larkinia multicostata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015971-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/is-40e/tempo/hcho_nrt_l3.002
title: TEMPO gridded formaldehyde total column V02 (NRT)
DOI: 10.15468/dl.zaa6sr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cabomba caroliniana",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015972-250914085247600/datasets/export for details.
DOI: 10.15468/dl.dn3kgr
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015974-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z24fw
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Hyalinobatrachium"
 ]
}

 The dataset includes 625 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015973-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wy5rsx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cabomba caroliniana",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015976-250914085247600/datasets/export for details.
DOI: 10.15468/dl.4nka6b
title: Occurrence Download

description: A dataset containing 3657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lunarca ovalis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 3657 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015975-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e229523
title: National Dementia Workforce Study (NDWS): Assisted Living Staff, Wave 1 (2024-2025)

description: The National Dementia Workforce Study, sponsored by the National Institute on Aging of the NIH, is comprised of a family of surveys of the dementia care workforce in the United States. Surveys include the Community Clinician, Nursing Home Staff, Assisted Living Staff, and Home Care Staff. Researchers can use the survey data to answer critical questions about the workforce and its impact on care and outcomes for people with dementia. Restricted-access versions of the surveys are available on the NIA-funded LINKAGE platform, while public use files (PUFs) are available through NACDA.
description: Response Rates: 67.4%
description: NDWS sampling approach and the data collection methods are described in the Survey Report document
description: Staff at Assisted Living Communities in the United States who care for older adults, including those with dementia.
description: paper and pencil interview (PAPI); web-based survey; NDWS sampling approach and the data collection methods are described in the Survey Report document
DOI: 10.15468/dl.vrfsp5
title: Occurrence Download

description: A dataset containing 6243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Adelges tsugae"
 ]
}

 The dataset includes 6243 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015977-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e229523v3
title: National Dementia Workforce Study (NDWS): Assisted Living Staff, Wave 1 (2024-2025)

description: The National Dementia Workforce Study, sponsored by the National Institute on Aging of the NIH, is comprised of a family of surveys of the dementia care workforce in the United States. Surveys include the Community Clinician, Nursing Home Staff, Assisted Living Staff, and Home Care Staff. Researchers can use the survey data to answer critical questions about the workforce and its impact on care and outcomes for people with dementia. Restricted-access versions of the surveys are available on the NIA-funded LINKAGE platform, while public use files (PUFs) are available through NACDA.
description: Response Rates: 67.4%
description: NDWS sampling approach and the data collection methods are described in the Survey Report document
description: Staff at Assisted Living Communities in the United States who care for older adults, including those with dementia.
description: paper and pencil interview (PAPI); web-based survey; NDWS sampling approach and the data collection methods are described in the Survey Report document
DOI: 10.3886/e234042
title: National Dementia Workforce Study (NDWS): Nursing Home Staff, Wave 1 (2024-2025)

description: The National Dementia Workforce Study, sponsored by the National Institute on Aging of the NIH, is comprised of a family of surveys of the dementia care workforce in the United States. Surveys include the Community Clinician, Nursing Home Staff, Assisted Living Staff, and Home Care Staff. Researchers can use the survey data to answer critical questions about the workforce and its impact on care and outcomes for people with dementia. Restricted-access versions of the surveys are available on the NIA-funded LINKAGE platform, while public use files (PUFs) are available through NACDA.
description: Response Rates: 55.2%
description: NDWS sampling approach and the data collection methods are described in the Survey Report document
description: Staff at Nursing Homes in the United States who care for older adults, including those with dementia.
description: paper and pencil interview (PAPI); web-based survey; NDWS sampling approach and the data collection methods are described in the Survey Report document
DOI: 10.3886/e234042v2
title: National Dementia Workforce Study (NDWS): Nursing Home Staff, Wave 1 (2024-2025)

description: The National Dementia Workforce Study, sponsored by the National Institute on Aging of the NIH, is comprised of a family of surveys of the dementia care workforce in the United States. Surveys include the Community Clinician, Nursing Home Staff, Assisted Living Staff, and Home Care Staff. Researchers can use the survey data to answer critical questions about the workforce and its impact on care and outcomes for people with dementia. Restricted-access versions of the surveys are available on the NIA-funded LINKAGE platform, while public use files (PUFs) are available through NACDA.
description: Response Rates: 55.2%
description: NDWS sampling approach and the data collection methods are described in the Survey Report document
description: Staff at Nursing Homes in the United States who care for older adults, including those with dementia.
description: paper and pencil interview (PAPI); web-based survey; NDWS sampling approach and the data collection methods are described in the Survey Report document
DOI: 10.15468/dl.4wajs9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cabomba caroliniana",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015981-250914085247600/datasets/export for details.
DOI: 10.15468/dl.gp4n2q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mosambicarca erythraeonensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015982-250914085247600/datasets/export for details.
DOI: 10.15468/dl.uc3c5n
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Otothyropsis piribebuy)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015978-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsehdh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cabomba caroliniana",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015980-250914085247600/datasets/export for details.
DOI: 10.21227/av54-xf54
title: "Housing Price Prediction Using AI Agent with Causal Inference for Societal Factor Selection dataset"

description: "The dataset used in this study consists of two main components. The first component comprises housing transaction records provided by Leju Technology Co., Ltd., which include detailed attributes of residential sales such as transaction dates, prices, floor area, and building characteristics. The second component encompasses societal factor data collected from multiple sources, including macroeconomic indicators, housing policies, demographic statistics, urban development plans, transportation networks, and educational resources.To evaluate regional variations, societal factor datasets were constructed for four administrative districts in Taipei City\u2014Nangang, Wenshan, Neihu, and Beitou. Each district-level dataset integrates both transaction-based information and societal factors, enabling a comprehensive analysis of the determinants of housing price dynamics across different urban contexts."
DOI: 10.15468/dl.ef5cb7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potiarca pilula",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015983-250914085247600/datasets/export for details.
DOI: 10.60748/pt02-av46
title: SpeciesLink Project – Minimum Temperature Data – Level 00 – 1d (1985–present)
DOI: 10.15468/dl.h9u8zj
title: Occurrence Download

description: A dataset containing 881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis dillenii",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 881 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015984-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dch3ad
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis dillenii",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015985-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.