cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cx7b8tpfk7.1
title: From silos to markets: How data factor marketization drives digital-physical technology integration

description: Paper Title:
From silos to markets: How data factor marketization drives digital-physical technology integration
Authors:
Pengfei Zhang (Xiamen University of Technology)
Ruilin Zhang (Xiamen University of Technology)
Zitong Liu (Xiamen University of Technology)
Date: October 31, 2025
Overview:
This replication package contains all publicly available synthetic data, Stata codes, and documentation necessary to reproduce the main empirical results reported in the above-mentioned paper.
The study investigates how the establishment of data-trading platforms promotes the digital-physical technology integration (DPTI) of Chinese A-share listed firms from 2008 to 2023, using a staggered DID framework. The package is designed to enhance research transparency and facilitate independent verification of all statistical findings.
DOI: 10.17632/94hf36f6jk
title: Disentangling form and material effects: a 2×2 EnergyPlus study of operational energy and CO₂ in a Qajar caravanserai

description: This dataset supports the article “Disentangling form and material effects: a 2×2 EnergyPlus study of operational energy and CO₂ in a Qajar caravanserai.”
It contains the input, output, and plotting files used in the study, including:

Clean BIM-based geometry exported from Revit to DesignBuilder/EnergyPlus;

Envelope properties (U-values, areal heat capacity, layer thickness, density, conductivity, specific heat);

Infiltration and ventilation parameters (ACH_nat values by typology);

Internal gains, lighting, and comfort setpoints;

Annual electricity results (MWh, kWh/m²·yr) and corresponding operational CO₂ (tCO₂e, kgCO₂e/m²·yr) for four configurations (TT, TM, MT, MM — T = traditional, M = modern);

One-factor sensitivity tests (thermal mass ±25%, infiltration ±50%, WWR ±10 p.p., shading ±25%);

Python/Excel plotting scripts for Figures 4–8.

All simulations were performed using DesignBuilder/EnergyPlus v23.x under the TMYx 2009–2023 weather file for Khorramabad, Iran.
The dataset ensures full transparency and reproducibility of the study’s findings.
DOI: 10.17632/94hf36f6jk.1
title: Disentangling form and material effects: a 2×2 EnergyPlus study of operational energy and CO₂ in a Qajar caravanserai

description: This dataset supports the article “Disentangling form and material effects: a 2×2 EnergyPlus study of operational energy and CO₂ in a Qajar caravanserai.”
It contains the input, output, and plotting files used in the study, including:

Clean BIM-based geometry exported from Revit to DesignBuilder/EnergyPlus;

Envelope properties (U-values, areal heat capacity, layer thickness, density, conductivity, specific heat);

Infiltration and ventilation parameters (ACH_nat values by typology);

Internal gains, lighting, and comfort setpoints;

Annual electricity results (MWh, kWh/m²·yr) and corresponding operational CO₂ (tCO₂e, kgCO₂e/m²·yr) for four configurations (TT, TM, MT, MM — T = traditional, M = modern);

One-factor sensitivity tests (thermal mass ±25%, infiltration ±50%, WWR ±10 p.p., shading ±25%);

Python/Excel plotting scripts for Figures 4–8.

All simulations were performed using DesignBuilder/EnergyPlus v23.x under the TMYx 2009–2023 weather file for Khorramabad, Iran.
The dataset ensures full transparency and reproducibility of the study’s findings.
DOI: 10.17632/3fxrm5v4h3
title: THE FOREIGN DIRECT INVESTMENT AND CARBON EMISSIONS NEXUS IN EMERGING ECONOMIES: THE MODERATING ROLE OF RENEWABLE ENERGY CONSUMPTION

description: INN variable were extracted from the Global Innovation Index; FDI, REC, TRA, NRR and GDP variables were extracted from the World Development Indicator (WDI)
DOI: 10.5281/zenodo.15912789
title: When Storms Stir the Mediterranean Depths: Chlorophyll-a Response to Mediterranean Cyclones
DOI: 10.5281/zenodo.15912790
title: When Storms Stir the Mediterranean Depths: Chlorophyll-a Response to Mediterranean Cyclones
DOI: 10.17632/3fxrm5v4h3.1
title: THE FOREIGN DIRECT INVESTMENT AND CARBON EMISSIONS NEXUS IN EMERGING ECONOMIES: THE MODERATING ROLE OF RENEWABLE ENERGY CONSUMPTION

description: INN variable were extracted from the Global Innovation Index; FDI, REC, TRA, NRR and GDP variables were extracted from the World Development Indicator (WDI)
DOI: 10.17632/zmfcpvsbd4
title: Raw data of morphometric parameters and subwatershed prioritization

description: Raw data used for morphometric analysis and identification of erosion- and flood- prone sub-watersheds in the Sewa and Ravi River Basins, Kathua district, Jammu and Kashmir.
DOI: 10.17632/zmfcpvsbd4.1
title: Raw data of morphometric parameters and subwatershed prioritization

description: Raw data used for morphometric analysis and identification of erosion- and flood- prone sub-watersheds in the Sewa and Ravi River Basins, Kathua district, Jammu and Kashmir.
DOI: 10.17632/w2hknypkjw.1
title: Phailin tweets

description: The dataset comprises 58,261 tweets collected through the Twitter Academic API, representing one of the few systematic archives of social media discourse around major disasters in South Asia.

What makes this dataset particularly valuable is its multi-layered structure. Beyond the raw tweets, we have developed a processed user-level dataset with derived metrics such as spread_score and focus_rate that researchers can use to analyze information diffusion patterns. Additionally, we include 1,500 manually annotated tweets with labels for user types and content categories, which we used to train a few-shot classification model achieving a recall score of 0.72. This annotated subset can serve as a benchmark for future machine learning applications in disaster communication research.

The dataset addresses a significant gap in available resources for studying disaster response in the Global South context. Researchers in fields ranging from computational social science to public policy and disaster management will find this resource useful for examining stakeholder communication dynamics, temporal patterns in information flow, and the role of different actors—governments, NGOs, media, and citizens—during crisis events.
DOI: 10.17632/dhyy5kknfj
title: Data of dual DBBs tests and error compensation tests

description: The data of dual DBBs tests and error compensation tests.
DOI: 10.17632/dhyy5kknfj.1
title: Data of dual DBBs tests and error compensation tests

description: The data of dual DBBs tests and error compensation tests.
DOI: 10.17632/fzwts9kp37
title: Data for: Spatial estimation of monthly PM2.5 concentrations with multisource data based on the hybridization of deep learning and geostatistics algorithms

description: This study improves the accuracy of ground-level PM₂.₅ concentration prediction by integrating meteorological, land cover, remote sensing, and socioeconomic factors into a hybrid modeling framework that combines deep neural networks (DNN) and geostatistical techniques (Ordinary Kriging, OK).
Data Description
The dataset contains monthly PM2.5 concentrations and related variables for January to December 2023 across 901 valid monitoring stations in the United States. Each monthly CSV file (01.csv to 12.csv) includes:
1.Ground PM2.5 measurements (µg/m³) from the U.S. EPA Air Quality System (AQS).
2.Meteorological variables from ERA5, including:
2m dew point temperature (2D)
2m air temperature (2T)
10m U- and V-components of wind (10U, 10V)
10m wind speed (S10)
Convective and large-scale precipitation (CP, LSP)
Surface pressure (SP)
Boundary layer height (BLH)
3.Land cover variables: high and low vegetation cover (CVH, CVL) from ERA5; NDVI and EVI from MOD13A3.061.
4.Remote sensing variables: aerosol optical depth (AOD) from MERRA-2, and digital elevation model (DEM) from GLO-90.
5.Socioeconomic variables: population density from USCB, real GDP from BEA, and fire counts from NASA FIRMS.
6.Geospatial coordinates (latitude and longitude) for each station.
All data are processed to remove missing or negative values, ensuring consistency across variables and months.
DOI: 10.17632/fzwts9kp37.1
title: Data for: Spatial estimation of monthly PM2.5 concentrations with multisource data based on the hybridization of deep learning and geostatistics algorithms

description: This study improves the accuracy of ground-level PM₂.₅ concentration prediction by integrating meteorological, land cover, remote sensing, and socioeconomic factors into a hybrid modeling framework that combines deep neural networks (DNN) and geostatistical techniques (Ordinary Kriging, OK).
Data Description
The dataset contains monthly PM2.5 concentrations and related variables for January to December 2023 across 901 valid monitoring stations in the United States. Each monthly CSV file (01.csv to 12.csv) includes:
1.Ground PM2.5 measurements (µg/m³) from the U.S. EPA Air Quality System (AQS).
2.Meteorological variables from ERA5, including:
2m dew point temperature (2D)
2m air temperature (2T)
10m U- and V-components of wind (10U, 10V)
10m wind speed (S10)
Convective and large-scale precipitation (CP, LSP)
Surface pressure (SP)
Boundary layer height (BLH)
3.Land cover variables: high and low vegetation cover (CVH, CVL) from ERA5; NDVI and EVI from MOD13A3.061.
4.Remote sensing variables: aerosol optical depth (AOD) from MERRA-2, and digital elevation model (DEM) from GLO-90.
5.Socioeconomic variables: population density from USCB, real GDP from BEA, and fire counts from NASA FIRMS.
6.Geospatial coordinates (latitude and longitude) for each station.
All data are processed to remove missing or negative values, ensuring consistency across variables and months.
DOI: 10.15468/dl.6uajjp
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Persicaria breviochreata)",
 "DecimalLatitude is greater than or equal to 0"
 ]
}

 The dataset includes 248 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017284-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r3ssj7fy3z
title: The analysis of the modern financial and non-financial aspects of employees ’rewards

description: Organisations view employee rewards and innovative performance as the
cornerstone for sustained competitive advantage. This study primarily
analyses modern financial and non-financial employee rewards across
municipal organisations. The fundamental problem discovered in this study
is that in the public sector, employee rewards and innovation performance
have yet to progress in parallel with time. The public sector still uses
traditional rewards, thus demotivating employees' morale and killing
innovative performance.
This study used mixed methods techniques, surveys, research interview
questions, and document reviews. Survey data was analysed using both
descriptive and inferential statistics. The sample included three hundred
employees, and a simple random sampling technique was used to select
each population element. For interviews, data analysis employed thematic
analysis and content analysis methods. The sample included twelve
employees, and a haphazard convenience sampling technique was used to
select each population element. The researcher used reputable sources for
the document review to collect thoughts and facts.
The municipalities do not have a modern total reward system, and their
rewards are outdated and inconclusive. The municipalities have a reward
policy; however, employees are not informed about it. The municipalities
ignore employees' needs, and the culture is neither individualistic nor
collectivistic since the municipalities practice an autocratic management
style. This study confirmed that engagement is a crucial psychological factor
in reward systems and innovative behaviours by showing that non-financial
(intrinsic) rewards greatly increase employee engagement, and this
consequently mediates the interaction between rewards and innovation.
Cultures that value individualism and collectivism have an impact on
participation and may have an impact on innovation. Indirectly, employee
engagement is highly predicted by how innovation is seen and measured,
highlighting the importance of creating a climate that supports innovation in
maintaining staff motivation and output.
DOI: 10.17632/r3ssj7fy3z.1
title: The analysis of the modern financial and non-financial aspects of employees ’rewards

description: Organisations view employee rewards and innovative performance as the
cornerstone for sustained competitive advantage. This study primarily
analyses modern financial and non-financial employee rewards across
municipal organisations. The fundamental problem discovered in this study
is that in the public sector, employee rewards and innovation performance
have yet to progress in parallel with time. The public sector still uses
traditional rewards, thus demotivating employees' morale and killing
innovative performance.
This study used mixed methods techniques, surveys, research interview
questions, and document reviews. Survey data was analysed using both
descriptive and inferential statistics. The sample included three hundred
employees, and a simple random sampling technique was used to select
each population element. For interviews, data analysis employed thematic
analysis and content analysis methods. The sample included twelve
employees, and a haphazard convenience sampling technique was used to
select each population element. The researcher used reputable sources for
the document review to collect thoughts and facts.
The municipalities do not have a modern total reward system, and their
rewards are outdated and inconclusive. The municipalities have a reward
policy; however, employees are not informed about it. The municipalities
ignore employees' needs, and the culture is neither individualistic nor
collectivistic since the municipalities practice an autocratic management
style. This study confirmed that engagement is a crucial psychological factor
in reward systems and innovative behaviours by showing that non-financial
(intrinsic) rewards greatly increase employee engagement, and this
consequently mediates the interaction between rewards and innovation.
Cultures that value individualism and collectivism have an impact on
participation and may have an impact on innovation. Indirectly, employee
engagement is highly predicted by how innovation is seen and measured,
highlighting the importance of creating a climate that supports innovation in
maintaining staff motivation and output.
DOI: 10.15468/dl.bqxfeq
title: Occurrence Download

description: A dataset containing 96064 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Indigofera limosa, Indigofera vestita, Fumana paradoxa, Pavetta kotzei, Scrophularia alpestris, Indigofera oxalidea, Eysenhardtia byei, Leontodon pinetorum, Scrophularia grandiflora, Eysenhardtia platycarpa, Seddera latifolia, Nemophila heterophylla, Lindsaea microphylla, Echiochilon simonneaui, Ceruana pratensis, Indigofera cuspidata, Indigofera fractiflexa, Schinus molle, Russelia sonorensis, Phyllangium paradoxum, Scrophularia nachitschevanica, Synaphea decorticans, Synaphea parviflora, Aconitum aquilonare, Argemone gracilenta, Armeria castellana, Armeria macropoda, Armeria malinvaudii, Armeria mauritanica, Gonocarpus micranthus, Indigofera articulata, Indigofera flabellata, Prunus lusitanica, Scrophularia laevigata, Scrophularia tenuipes, Gonocarpus ephemerus, Indigofera triquetra, Indigofera volkensii, Melica spectabilis, Epipactis ariosica, Scrophularia mesopotamica, Scrophularia valdesii, Aconitum tauricum, Indigofera pappei, Indigofera poliotes, Indigofera rubroglandulosa, Prunus gentryi, Diplacus graniticola, Leontodon crispus, Indigofera gilesii, Miersia raucoana, Anisodontea gracilis, Cyclospermum leptophyllum, Hereroa brevifolia, Indigofera warburtonensis, Fumana neverensis, Lonchocarpus lanceolatus, Synaphea rangiferops, Synaphea diabolica, Synaphea pandurata, Aconitum acutum, Andersonia parvifolia, Armeria grajoana, Scrophularia olympica, Scrophularia oblongifolia, Armeria ebracteata, Indigofera guthriei, Indigofera hantamensis, Indigofera jucunda, Pavetta granitica, Pavetta natalensis, Epipactis graberi, Scrophularia erzincanica, Leontodon biscutellifolius, Scrophularia lepidota, Nemacladus longiflorus, Nemacladus rubescens, Lindsaea dimorpha, Gonocarpus implexus, Indigofera wenholdiae, Indigofera decipiens, Cneorum tricoccon, Orchis macra, Westringia discipulorum, Melica frutescens, Melica geyeri, Synaphea canaliculata, Synaphea petiolaris, Synaphea oulopha, Synaphea polypodioides, Hymenocallis clivorum, Andersonia setifolia, Armeria brutia, Armeria capitella, Armeria genesiana, Indigofera filipes, Indigofera velutina)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 96064 records from 972 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017271-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3zkswty7f2
title: Supplementary 2 - scoring of results after correction for multiplicity

description: Scoring of results in papers after correction for multiplicity in hypothesis testing. Supplementary file for manuscript entitled "Vaccine policy changes require more than weak secondary findings from underpowered trials - a reanalysis of randomized trials on nonspecific vaccine effects"
DOI: 10.17632/3zkswty7f2.3
title: Supplementary 2 - scoring of results after correction for multiplicity

description: Scoring of results in papers after correction for multiplicity in hypothesis testing. Supplementary file for manuscript entitled "Vaccine policy changes require more than weak secondary findings from underpowered trials - a reanalysis of randomized trials on nonspecific vaccine effects"
DOI: 10.17632/b7xfrvfbyx
title: Out of Pocket Expenditure - PSLM 2018-19

description: Out of Pocket Expenditure section of Pakistan Social and Living Measurement (PSLM) 2018-19.
DOI: 10.17632/b7xfrvfbyx.1
title: Out of Pocket Expenditure - PSLM 2018-19

description: Out of Pocket Expenditure section of Pakistan Social and Living Measurement (PSLM) 2018-19.
DOI: 10.17632/nxjsxdn8hm
title: An Evaluation of the Impact of Training and Development on Organisational Performance: A Case Study of the Department of Economic Development in the Gauteng Province

description: In contemporary studies, most organisations consider employee training and
development as the foundation for gaining a sustainable competitive advantage.
Contrarily, the influence of training and development on organisational performance in
the South African public-sector remains fundamentally unexamined. This study is thus
concerned with an evaluation of the impact of training and development on
organisational performance using a case study of the Provincial Department of
Economic Development in the Gauteng Province.
The main problem identified in this study is that there is a lack of knowledge of the
impact of training and development on organisational performance within the Gauteng
Provincial Department of Economic Development. In South Africa, public-sector
organisations do not evaluate the impact of training and development programmes
and/or they repeatedly evaluate training inadequately. This study argues that the
impact of training and development in the public-sector organisations lacks evaluation.
This study used a descriptive quantitative research design. A survey enabled the
collection of primary data (structured questionnaire). Data analysis employed
descriptive statistics and inferential statistics. The sample included 131 employees.
This study used a simple random sampling technique to select each population
element.
The main findings of the study are that training has a positive impact on the
performance of the employees in the department. The department provides training
programmes that are not relevant to the tasks of employees. Training evaluation is the
most ignored step in the training process and the department do not know how to
evaluate training. The department does not have a tool to measure the impact of
training and development. The study therefore recommends that the department
should implement training and development programmes strategically. It should
provide continuous training programmes and should adopt Kirkpatrick’s model for
evaluating training. It should provide its employees with feedback. Employees must
receive training in areas relevant to their tasks.
DOI: 10.17632/nxjsxdn8hm.1
title: An Evaluation of the Impact of Training and Development on Organisational Performance: A Case Study of the Department of Economic Development in the Gauteng Province

description: In contemporary studies, most organisations consider employee training and
development as the foundation for gaining a sustainable competitive advantage.
Contrarily, the influence of training and development on organisational performance in
the South African public-sector remains fundamentally unexamined. This study is thus
concerned with an evaluation of the impact of training and development on
organisational performance using a case study of the Provincial Department of
Economic Development in the Gauteng Province.
The main problem identified in this study is that there is a lack of knowledge of the
impact of training and development on organisational performance within the Gauteng
Provincial Department of Economic Development. In South Africa, public-sector
organisations do not evaluate the impact of training and development programmes
and/or they repeatedly evaluate training inadequately. This study argues that the
impact of training and development in the public-sector organisations lacks evaluation.
This study used a descriptive quantitative research design. A survey enabled the
collection of primary data (structured questionnaire). Data analysis employed
descriptive statistics and inferential statistics. The sample included 131 employees.
This study used a simple random sampling technique to select each population
element.
The main findings of the study are that training has a positive impact on the
performance of the employees in the department. The department provides training
programmes that are not relevant to the tasks of employees. Training evaluation is the
most ignored step in the training process and the department do not know how to
evaluate training. The department does not have a tool to measure the impact of
training and development. The study therefore recommends that the department
should implement training and development programmes strategically. It should
provide continuous training programmes and should adopt Kirkpatrick’s model for
evaluating training. It should provide its employees with feedback. Employees must
receive training in areas relevant to their tasks.
DOI: 10.18112/openneuro.ds006893.v1.0.1
title: The interplay of central insulin and menstrual cycle on functional brain networks and neural food cue reactivity in women
DOI: 10.15468/dl.kqrk5n
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba subalpina"
 ]
}

 The dataset includes 240 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017220-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.