cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15062860
title: Database for A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings

description: This database contains data from 406 papers included in the systematic review A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings. The study that led to this database employed the evidence-gap map method to critically examine the scope, methodologies, and focus of research investigating the influence of the built environment on inpatient healthcare settings over a decade (2010–2021). It followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and analyzed 406 articles, primarily from North America and Europe.

The dataset includes details on the author(s), year, journal, title, DOI/URL, type of inpatient healthcare setting, research design, methods used, data collection instruments, and study aim. It also specifies per the study which health-related outcomes are adressed including person-centered care, shared decision-making, self-care support, patient participation, safety, timeliness, equity, efficiency, or effectiveness. Additionally, it records the main findings, study summary, country, region, study quality, addressed built environment features (ambient, architectural, interior, social-spatial, nature), and the populations involved (patients, visitors, staff).

The dataset has been used to identify research gaps. It also allows for further analysis of the entire set or specific subsections. Filters can be applied to focus on particular subsets based on inpatient settings, regions/countries, health-related outcomes, populations, or design features. For example, it allows filtering for studies on ICU departments, studies examining visitors' interaction with nature, or both. Additionally, the database can support ongoing analysis using the same search strings to track developments in this research domain.

We only ask that you acknowledge the use of this dataset (possibly alongside the accompanying paper) as a foundation for further research.
DOI: 10.5281/zenodo.15062861
title: Database for A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings

description: This database contains data from 406 papers included in the systematic review A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings. The study that led to this database employed the evidence-gap map method to critically examine the scope, methodologies, and focus of research investigating the influence of the built environment on inpatient healthcare settings over a decade (2010–2021). It followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and analyzed 406 articles, primarily from North America and Europe.

The dataset includes details on the author(s), year, journal, title, DOI/URL, type of inpatient healthcare setting, research design, methods used, data collection instruments, and study aim. It also specifies per the study which health-related outcomes are adressed including person-centered care, shared decision-making, self-care support, patient participation, safety, timeliness, equity, efficiency, or effectiveness. Additionally, it records the main findings, study summary, country, region, study quality, addressed built environment features (ambient, architectural, interior, social-spatial, nature), and the populations involved (patients, visitors, staff).

The dataset has been used to identify research gaps. It also allows for further analysis of the entire set or specific subsections. Filters can be applied to focus on particular subsets based on inpatient settings, regions/countries, health-related outcomes, populations, or design features. For example, it allows filtering for studies on ICU departments, studies examining visitors' interaction with nature, or both. Additionally, the database can support ongoing analysis using the same search strings to track developments in this research domain.

We only ask that you acknowledge the use of this dataset (possibly alongside the accompanying paper) as a foundation for further research.
DOI: 10.5281/zenodo.15173386
title: Concentrating solar power (CSP) plants AI-training dataset for flux density measurements.

description: In this dataset, the tools required for the training of a neural net in the context of flux density measurements in concentrating solar power (CSP) plants are included. An Excel file with 931 meteorological conditions and the positions of the power plant and the receiver is included, as well as 15928 pairs of images resulting from ray-tracing in Solarturm Juelich (STJ) each of these conditions with 17 different combinations of heliostats.     This dataset is part of the WP1 of TOPCSP european project (funded by HORIZON MSCA Doctoral Network, Project number 101072537).
DOI: 10.5281/zenodo.15173416
title: Database for A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings

description: This database contains data from 406 papers included in the systematic review A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings. The study that led to this database employed the evidence-gap map method to critically examine the scope, methodologies, and focus of research investigating the influence of the built environment on inpatient healthcare settings over a decade (2010–2021). It followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and analyzed 406 articles, primarily from North America and Europe.

The dataset includes details on the author(s), year, journal, title, DOI/URL, type of inpatient healthcare setting, research design, methods used, data collection instruments, and study aim. It also specifies per the study which health-related outcomes are adressed including person-centered care, shared decision-making, self-care support, patient participation, safety, timeliness, equity, efficiency, or effectiveness. Additionally, it records the main findings, study summary, country, region, study quality, addressed built environment features (ambient, architectural, interior, social-spatial, nature), and the populations involved (patients, visitors, staff).

The dataset has been used to identify research gaps. It also allows for further analysis of the entire set or specific subsections. Filters can be applied to focus on particular subsets based on inpatient settings, regions/countries, health-related outcomes, populations, or design features. For example, it allows filtering for studies on ICU departments, studies examining visitors' interaction with nature, or both. Additionally, the database can support ongoing analysis using the same search strings to track developments in this research domain.

We only ask that you acknowledge the use of this dataset (possibly alongside the accompanying paper) as a foundation for further research.
DOI: 10.5281/zenodo.15173455
title: Database for A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings

description: This database contains data from 406 papers included in the systematic review A Systematic Review of Research Gaps in the Built Environment of Inpatient Healthcare Settings. The study that led to this database employed the evidence-gap map method to critically examine the scope, methodologies, and focus of research investigating the influence of the built environment on inpatient healthcare settings over a decade (2010–2021). It followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and analyzed 406 articles, primarily from North America and Europe.

The dataset includes details on the author(s), year, journal, title, DOI/URL, type of inpatient healthcare setting, research design, methods used, data collection instruments, and study aim. It also specifies per the study which health-related outcomes are adressed including person-centered care, shared decision-making, self-care support, patient participation, safety, timeliness, equity, efficiency, or effectiveness. Additionally, it records the main findings, study summary, country, region, study quality, addressed built environment features (ambient, architectural, interior, social-spatial, nature), and the populations involved (patients, visitors, staff).

The dataset has been used to identify research gaps. It also allows for further analysis of the entire set or specific subsections. Filters can be applied to focus on particular subsets based on inpatient settings, regions/countries, health-related outcomes, populations, or design features. For example, it allows filtering for studies on ICU departments, studies examining visitors' interaction with nature, or both. Additionally, the database can support ongoing analysis using the same search strings to track developments in this research domain.

We only ask that you acknowledge the use of this dataset (possibly alongside the accompanying paper) as a foundation for further research.
DOI: 10.13145/bacdive13435.20241212.9.2
title: Saccharomonospora saliphila Dastager et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15173054
title: SmokeBasement - Stereo thermal camera and Hesai lidar dataset

description: The data were collected at the basement of a construction site, filled with firefighting drill smoke on Jan 21 2025.

Only thermal frames and lidar data are available.Both sensor time and host time are recorded for thermal frames.The hesai pandar xt32 data are recorded by the official ros1 driver in ubuntu 20.04.We do not provide sync signals to the hesai pandar, so the timestamps in the rosbag for /hesai/pandar are host times.

We released the smoke at a deep corner of the basement, then collected 6 sessions of data.

We do not upload the camera calibration data but only the calibration results. If needed, they can requested by dropping me an email.

We also provide the extrinsic parameters and some pictures during the data collection.
DOI: 10.5281/zenodo.15173055
title: SmokeBasement - Stereo thermal camera and Hesai lidar dataset

description: The data were collected at the basement of a construction site, filled with firefighting drill smoke on Jan 21 2025.

Only thermal frames and lidar data are available.Both sensor time and host time are recorded for thermal frames.The hesai pandar xt32 data are recorded by the official ros1 driver in ubuntu 20.04.We do not provide sync signals to the hesai pandar, so the timestamps in the rosbag for /hesai/pandar are host times.

We released the smoke at a deep corner of the basement, then collected 6 sessions of data.

We do not upload the camera calibration data but only the calibration results. If needed, they can requested by dropping me an email.

We also provide the extrinsic parameters and some pictures during the data collection.
DOI: 10.13145/bacdive13436.20241212.9.2
title: Saccharomonospora marina Liu et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15173445
title: Datas for publication "Robust stochastic optimization via regularized PHA: Application to Energy Management Systems"

description: All the results and data presented in the paper "Robust stochastic optimization via regularized PHA: Application to Energy Management Systems" are available in this repo.
DOI: 10.13145/bacdive13437.20241212.9.2
title: Saccharopolyspora rectivirgula (Krassilnikov and Agre 1964) Korn-Wendisch et al. 1989 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13440.20241212.9.2
title: Saccharopolyspora rectivirgula (Krassilnikov and Agre 1964) Korn-Wendisch et al. 1989 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13441.20241212.9.2
title: Saccharopolyspora rectivirgula (Krassilnikov and Agre 1964) Korn-Wendisch et al. 1989 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13443.20241212.9.2
title: Saccharopolyspora rectivirgula (Krassilnikov and Agre 1964) Korn-Wendisch et al. 1989 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13444.20241212.9.2
title: Saccharopolyspora erythraea (Waksman 1923) Labeda 1987 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13447.20241212.9.2
title: Saccharopolyspora hirsuta Lacey and Goodfellow 1975

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13454.20241212.9.2
title: Saccharopolyspora hordei Goodfellow et al. 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13455.20241212.9.2
title: Saccharopolyspora spinosa Mertz and Yao 1990 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13458.20241212.9.2
title: Saccharopolyspora flava Lu et al. 2001 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13459.20241212.9.2
title: Saccharopolyspora kobensis (Lacey 1989) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13464.20241212.9.2
title: Saccharopolyspora sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13467.20241212.9.2
title: Saccharopolyspora antimicrobica Yuan et al. 2008 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13469.20241212.9.2
title: Saccharopolyspora shandongensis Zhang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15173225
title: Whole genome re-sequencing workshop data: vcf file for variant filtering and popgen

description: Whole genome re-sequencing data analysis workshop datasets. The files are necessary inputs for the workshop in https://github.com/PoODL-CES/Genomics_learning_workshop

Tools and scripts listed in the https://github.com/PoODL-CES/Genomics_learning_workshop repository.

 

This a part of the vcf file with data of chromosome E2 from:Khan, A., Patel, K., Shukla, H., Viswanathan, A., van der Valk, T., Borthakur, U., Nigam, P., Zachariah, A., Jhala, Y.V., Kardos, M. and Ramakrishnan, U., 2021. Genomic evidence for inbreeding depression and purging of deleterious genetic variation in Indian tigers. Proceedings of the National Academy of Sciences, 118(49), p.e2023018118.

The reference genome is from :

Shukla, H., Suryamohan, K., Khan, A., Mohan, K., Perumal, R.C., Mathew, O.K., Menon, R., Dixon, M.D., Muraleedharan, M., Kuriakose, B. and Michael, S., 2023. Near-chromosomal de novo assembly of Bengal tiger genome reveals genetic hallmarks of apex predation. GigaScience, 12, p.giac112.
DOI: 10.5281/zenodo.15173226
title: Whole genome re-sequencing workshop data: vcf file for variant filtering and popgen

description: Whole genome re-sequencing data analysis workshop datasets. The files are necessary inputs for the workshop in https://github.com/PoODL-CES/Genomics_learning_workshop

Tools and scripts listed in the https://github.com/PoODL-CES/Genomics_learning_workshop repository.

 

This a part of the vcf file with data of chromosome E2 from:Khan, A., Patel, K., Shukla, H., Viswanathan, A., van der Valk, T., Borthakur, U., Nigam, P., Zachariah, A., Jhala, Y.V., Kardos, M. and Ramakrishnan, U., 2021. Genomic evidence for inbreeding depression and purging of deleterious genetic variation in Indian tigers. Proceedings of the National Academy of Sciences, 118(49), p.e2023018118.

The reference genome is from :

Shukla, H., Suryamohan, K., Khan, A., Mohan, K., Perumal, R.C., Mathew, O.K., Menon, R., Dixon, M.D., Muraleedharan, M., Kuriakose, B. and Michael, S., 2023. Near-chromosomal de novo assembly of Bengal tiger genome reveals genetic hallmarks of apex predation. GigaScience, 12, p.giac112.
DOI: 10.13145/bacdive13470.20241212.9.2
title: Saccharopolyspora kobensis (Lacey 1989) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.7284/133037
title: Timeserver data collected during research cruise OC1409C using a Microsemi SyncServer S350 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135434
title: GNSS (Global Navigation Satellite System) data collected during research cruise OC1905B using a Furuno GP-90 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135439
title: Anemometer data collected during research cruise OC1905B using a Gill WindObserver II instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.bqjh92
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selaginella tibetica Ching & S.K.Wu"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008382-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7284/135427
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise OC1905B using a SeaBird SBE-911+ instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.ii5ies
title: Occurrence Download

description: A dataset containing 3908348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((65.74219 15.41979,33.67969 -18.37955,25.24219 -60.86204,188.92969 -60.86204,188.9297 18.11244,65.74219 15.41979))",
 "TaxonKey is Actinopterygii",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3908348 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013062-200127171203522/datasets/export for details.
DOI: 10.7284/144624
title: Transmissometer data collected during research cruise OC1905B using a WETLabs C-Star instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.mhz7h7
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andira anthelmia (Vell.) J.F.Macbr."
 ]
}

 The dataset includes 511 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003017-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7284/135429
title: Gyrocompass data collected during research cruise OC1905B using a Sperry MK-37 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.7548283
title: Surface sediment Nd isotope compositions from the Ross Sea, Antarctica

description: The dataset contains seafloor surface sediment neodymium isotope compositions for several sites in the Ross Sea, Antarctica. The sediments were supplied by Helen Bostock from NIWA, Wellington, New Zealand, plus two samples from International Ocean Discovery Program (IODP) Expedition 374.
DOI: 10.15468/dl.hbqh8k
title: Occurrence Download

description: A dataset containing 62124 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is North East Scotland Terrestrial Mammals 1900-2017 (excluding squirrels, wild cats and marine mammals)"
 ]
}

 The dataset includes 62124 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003031-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7284/135440
title: Radiometer data collected during research cruise OC1905B using a RMRCo PRP instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135481
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise OC1907B using a SeaBird SBE-911+ instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.xv96xb
title: Occurrence Download

description: A dataset containing 35618 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratonia siliqua L."
 ]
}

 The dataset includes 35618 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010320-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7284/135436
title: Timeserver data collected during research cruise OC1905B using a Microsemi SyncServer S350 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135437
title: Water Temperature data collected during research cruise OC1905B using a SeaBird SBE-38 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144625
title: Transmissometer data collected during research cruise OC1906A using a WETLabs C-Star instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135432
title: TSG (Thermosalinograph) data collected during research cruise OC1905B using a SeaBird SBE-45 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.r0fxih
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selaginella trachyphylla A.Br."
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008393-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.