cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18712/nsd-nsd3093-1-v1
title: KEU Pre-survey 2011

description: Innovation Norway (IN) was established on 1 January 2004, and is a merger of the former Norwegian Business and Regional Development Fund (SND), the Norwegian Export Council, the Norwegian Tourist Board and the Norwegian Inventors Guidance Office. Innovation Norway offers products and services that will contribute to developing the rural areas, increase innovation in business throughout the country and profile Norwegian business and Norway as a travel destination.

Pöyry Management Consulting carries out the customer impact surveys for Innovation Norway. The surveys include companies that have received services from Innovation Norway or SND in the years from 1994 with the exception of 1997. For each cohort, a pre-survey is carried out one year after the service was provided and a follow-up survey four years later.

The purpose of the customer impact surveys is twofold. Firstly, it is an internal purpose which is about improving and further developing Innovation Norway's operations. Secondly, there is an external purpose that answers the question "what have we got for our money?".

The current survey is a preliminary survey of companies that received a service from Innovation Norway in 2011.
DOI: 10.5281/zenodo.10473666
title: The hexane extract of Jujube (Ziziphus jujuba Mill.) leaf was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) yaprağının hekzan ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of the hexane extract obtained from the leaves of the Jujube plant, also known as Ziziphus jujuba Mill., using Gas Chromatography-Mass Spectrometry (GC-MS). GC-MS is a powerful analytical method that enables the separation and identification of chemical components. The purpose of this analysis was to identify and quantify compounds in the hexane extract of Jujube leaves.
DOI: 10.5281/zenodo.10473667
title: The hexane extract of Jujube (Ziziphus jujuba Mill.) leaf was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) yaprağının hekzan ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of the hexane extract obtained from the leaves of the Jujube plant, also known as Ziziphus jujuba Mill., using Gas Chromatography-Mass Spectrometry (GC-MS). GC-MS is a powerful analytical method that enables the separation and identification of chemical components. The purpose of this analysis was to identify and quantify compounds in the hexane extract of Jujube leaves.
DOI: 10.5281/zenodo.10473674
title: The methanol extract of Jujube (Ziziphus jujuba Mill.) leaf was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) yaprağının metanol ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of the methanol extract obtained from the leaves of the Jujube plant, also known as Ziziphus jujuba Mill., using Gas Chromatography-Mass Spectrometry (GC-MS). GC-MS is a powerful analytical method that enables the separation and identification of chemical components. The purpose of this analysis was to identify and quantify compounds in the methanol extract of Jujube leaves.
DOI: 10.5281/zenodo.10473675
title: The methanol extract of Jujube (Ziziphus jujuba Mill.) leaf was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) yaprağının metanol ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of the methanol extract obtained from the leaves of the Jujube plant, also known as Ziziphus jujuba Mill., using Gas Chromatography-Mass Spectrometry (GC-MS). GC-MS is a powerful analytical method that enables the separation and identification of chemical components. The purpose of this analysis was to identify and quantify compounds in the methanol extract of Jujube leaves.
DOI: 10.5281/zenodo.10473682
title: The hexane extract of Jujube (Ziziphus jujuba Mill.) fruit was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) meyvesinin hekzan ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of hexane extract from the fruits of the jujube plant, also known as Ziziphus jujuba Mill. using gas chromatography-mass spectrometry (GC-MS). GC-MS is a powerful analytical technique that allows the separation and identification of chemical compounds. The aim of this analysis was to identify and quantify the compounds present in the hexane extract of jujube fruits.
DOI: 10.5281/zenodo.10473683
title: The hexane extract of Jujube (Ziziphus jujuba Mill.) fruit was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) meyvesinin hekzan ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of hexane extract from the fruits of the jujube plant, also known as Ziziphus jujuba Mill. using gas chromatography-mass spectrometry (GC-MS). GC-MS is a powerful analytical technique that allows the separation and identification of chemical compounds. The aim of this analysis was to identify and quantify the compounds present in the hexane extract of jujube fruits.
DOI: 10.5281/zenodo.10459962
title: The acetone extract of Jujube (Ziziphus jujuba Mill.) fruit was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) meyvesinin aseton ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of acetone extract from the fruits of the jujube plant, also known as Ziziphus jujuba Mill. using gas chromatography-mass spectrometry (GC-MS). GC-MS is a powerful analytical technique that allows the separation and identification of chemical compounds. The aim of this analysis was to identify and quantify the compounds present in the acetone extract of jujube fruits.
DOI: 10.5281/zenodo.10459963
title: The acetone extract of Jujube (Ziziphus jujuba Mill.) fruit was analysed using GC-MS.
title: Hünnap (Ziziphus jujuba Mill.) meyvesinin aseton ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of acetone extract from the fruits of the jujube plant, also known as Ziziphus jujuba Mill. using gas chromatography-mass spectrometry (GC-MS). GC-MS is a powerful analytical technique that allows the separation and identification of chemical compounds. The aim of this analysis was to identify and quantify the compounds present in the acetone extract of jujube fruits.
DOI: 10.5281/zenodo.10459907
title: The water extract of Mahaleb (Prunus mahaleb L.) kernel was analysed using GC-MS.
title: Mahlep (Prunus mahaleb L.) çekirdeğinin su ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of a water extract obtained from the kernels of the Mahaleb plant, also known as Prunus mahaleb L., using Gas Chromatography-Mass Spectrometry (GC-MS). GC-MS is a powerful analytical method that enables the separation and identification of chemical components. The purpose of this analysis was to identify and quantify compounds in the water extract of Mahaleb kernels.
DOI: 10.5281/zenodo.10459908
title: The water extract of Mahaleb (Prunus mahaleb L.) kernel was analysed using GC-MS.
title: Mahlep (Prunus mahaleb L.) çekirdeğinin su ekstraktının GC-MS analizi

description: This report presents the results of the chemical analysis of a water extract obtained from the kernels of the Mahaleb plant, also known as Prunus mahaleb L., using Gas Chromatography-Mass Spectrometry (GC-MS). GC-MS is a powerful analytical method that enables the separation and identification of chemical components. The purpose of this analysis was to identify and quantify compounds in the water extract of Mahaleb kernels.
DOI: 10.48544/085e852a-d73a-4e2a-aaf4-6bf7f630f1b1
title: Voedingswijs
DOI: 10.5281/zenodo.6846657
title: LIST

description: LIST dataset (Latin Inscriptions in space and time) is an aggregate of EDH and EDCS epigraphic datasets, focusing on inscriptions which are (a) geolocated and (b) . In version 0.1, the dataset consists of 157,800. records We publish the dataset as either one geojson or parquet file. The scripts used to generate the dataset and their metadata are available via GitHub: <code> </code><code>https://github.com/sdam-au/LIRE_ETL</code>.
DOI: 10.5281/zenodo.7870085
title: LIST

description: LIST dataset (Latin Inscriptions in space and time) is an aggregate of EDH and EDCS epigraphic datasets. In total, the dataset consists of 525,870 inscripriptions, enriched by 66 attributes. 77,091 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 445,463 inscriptions are exclusively from EDCS. 511,973 inscriptions have valid geospatial coordinates (the `geometry` attribute). This information is also used to determine urban context of each inscription (i.e. whether it is in neighborhood (i.e. within 5000m buffer) of a large city, medium city, or small city or rural (&gt;5000m to any type of city; see the attributes `urban_context`, `urban_context_city`, and `urban_context_pop`). 206,570 inscriptions have numerical date of origin expressed by means of an interval or singular year using the attributes `not_before` and `not_after`. 203,877 inscriptions have both geospatial coordinates and numerically expressed date of origin (see the "geotemporal?" attribute). The dataset also employs a machine learning model to classify the inscipriptions covered exclusively by EDCS in terms of 22 categories employed by EDH. We publish the dataset in the parquet file format. Description of individual attributes is available in separate file. Using `geopandas` library, you can load the data directly into your Python environment using the following command: `LIST = gpd.read_parquet("https://zenodo.org/record/7870085/files/LIST_v0-4.parquet?download=1“)`. The scripts used to generate the dataset are available via GitHub: <code> </code><code>https://github.com/sdam-au/LI_ETL</code>.
DOI: 10.5281/zenodo.7993895
title: LIST

description: LIST dataset (Latin Inscriptions in space and time) is an aggregate of EDH and EDCS epigraphic datasets. In total, the dataset consists of 525,870 inscripriptions, enriched by 66 attributes. 77,091 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 445,463 inscriptions are exclusively from EDCS. 511,973 inscriptions have valid geospatial coordinates (the `geometry` attribute). This information is also used to determine urban context of each inscription (i.e. whether it is in neighborhood (i.e. within 5000m buffer) of a large city, medium city, or small city or rural (&gt;5000m to any type of city; see the attributes `urban_context`, `urban_context_city`, and `urban_context_pop`). 206,570 inscriptions have numerical date of origin expressed by means of an interval or singular year using the attributes `not_before` and `not_after`. 203,877 inscriptions have both geospatial coordinates and numerically expressed date of origin (see the "geotemporal?" attribute). The dataset also employs a machine learning model to classify the inscipriptions covered exclusively by EDCS in terms of 22 categories employed by EDH. We publish the dataset in the parquet file format. Description of individual attributes is available in separate file. Using `geopandas` library, you can load the data directly into your Python environment using the following command: `LIST = gpd.read_parquet("https://zenodo.org/record/7870085/files/LIST_v0-4.parquet?download=1“)`. The scripts used to generate the dataset are available via GitHub: <code> </code><code>https://github.com/sdam-au/LI_ETL</code>.
DOI: 10.5281/zenodo.7993915
title: LIST

description: LIST dataset (Latin Inscriptions in Space and Time) is an aggregate of EDH and EDCS epigraphic datasets. In total, the dataset consists of 525,870 inscriptions, enriched by 66 attributes. 77,091 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 445,463 inscriptions are exclusively from EDCS. 511,973 inscriptions have valid geospatial coordinates (the `geometry` attribute). This information is also used to determine urban context of each inscription (i.e. whether it is in neighborhood (i.e. within 5000m buffer) of a large city, medium city, or small city or rural (&gt;5000m to any type of city; see the attributes `urban_context`, `urban_context_city`, and `urban_context_pop`). 206,570 inscriptions have numerical date of origin expressed by means of an interval or singular year using the attributes `not_before` and `not_after`. 203,877 inscriptions have both geospatial coordinates and numerically expressed date of origin (see the "geotemporal?" attribute). The dataset also employs a machine learning model to classify the inscipriptions covered exclusively by EDCS in terms of 22 categories employed by EDH. We publish the dataset in the parquet and geojson file format. Description of individual attributes is available in separate file. Using `geopandas` library, you can load the data directly from Zenodo into your Python environment using the following command: `LIST = gpd.read_parquet("https://zenodo.org/record/7993915/files/LIST_v0-6.parquet?download=1“)`. The scripts used to generate the dataset are available via GitHub: <code> </code><code>https://github.com/sdam-au/LI_ETL</code>.
DOI: 10.5281/zenodo.7577663
title: LIST

description: LIST dataset (Latin Inscriptions in space and time) is an aggregate of EDH and EDCS epigraphic datasets. In total, the dataset consists of 528,484 inscripriptions, enriched by 69 attributes. 76,583 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 448,585 inscriptions are exclusively from EDCS. 500,030 inscriptions have valid geospatial coordinates (the `geometry` attribute). This information is also used to determine urban context of each inscription (i.e. whether it is in neighborhood (i.e. within 5000m buffer) of a large city, medium city, or small city or rural (&gt;5000m to any type of city; see the attributes `urban_context`, `urban_context_city`, and `urban_context_pop`). 199,249 inscriptions have numerical date of origin expressed by means of an interval or singular year using the attributes `not_before` and `not_after`. 187,934 inscriptions have both geospatial coordinates and numerically expressed date of origin (see the "geotemporal?" attribute). The dataset also employs a machine learning model to classify the inscipriptions covered exclusively by EDCS in terms of 22 categories employed by EDH. We publish the dataset in the parquet file format. Description of individual attributes is available in separate file. The scripts used to generate the dataset are available via GitHub: <code> </code><code>https://github.com/sdam-au/LIRE_ETL</code>.
DOI: 10.5281/zenodo.7577786
title: LIST

description: LIST dataset (Latin Inscriptions in space and time) is an aggregate of EDH and EDCS epigraphic datasets. In total, the dataset consists of 528,484 inscripriptions, enriched by 69 attributes. 76,583 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 448,585 inscriptions are exclusively from EDCS. 500,030 inscriptions have valid geospatial coordinates (the `geometry` attribute). This information is also used to determine urban context of each inscription (i.e. whether it is in neighborhood (i.e. within 5000m buffer) of a large city, medium city, or small city or rural (&gt;5000m to any type of city; see the attributes `urban_context`, `urban_context_city`, and `urban_context_pop`). 199,249 inscriptions have numerical date of origin expressed by means of an interval or singular year using the attributes `not_before` and `not_after`. 187,934 inscriptions have both geospatial coordinates and numerically expressed date of origin (see the "geotemporal?" attribute). The dataset also employs a machine learning model to classify the inscipriptions covered exclusively by EDCS in terms of 22 categories employed by EDH. We publish the dataset in the parquet file format. Description of individual attributes is available in separate file. The scripts used to generate the dataset are available via GitHub: <code> </code><code>https://github.com/sdam-au/LIRE_ETL</code>.
DOI: 10.5281/zenodo.7587556
title: LIST

description: LIST dataset (Latin Inscriptions in space and time) is an aggregate of EDH and EDCS epigraphic datasets. In total, the dataset consists of 525,870 inscripriptions, enriched by 66 attributes. 77,091 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 445,463 inscriptions are exclusively from EDCS. 511,973 inscriptions have valid geospatial coordinates (the `geometry` attribute). This information is also used to determine urban context of each inscription (i.e. whether it is in neighborhood (i.e. within 5000m buffer) of a large city, medium city, or small city or rural (&gt;5000m to any type of city; see the attributes `urban_context`, `urban_context_city`, and `urban_context_pop`). 206,570 inscriptions have numerical date of origin expressed by means of an interval or singular year using the attributes `not_before` and `not_after`. 203,877 inscriptions have both geospatial coordinates and numerically expressed date of origin (see the "geotemporal?" attribute). The dataset also employs a machine learning model to classify the inscipriptions covered exclusively by EDCS in terms of 22 categories employed by EDH. We publish the dataset in the parquet file format. Description of individual attributes is available in separate file. The scripts used to generate the dataset are available via GitHub: <code> </code><code>https://github.com/sdam-au/LIRE_ETL</code>.
DOI: 10.25345/c5h41jz1k
title: MassIVE MSV000093797 - Ultra-long Transients Enhance Sensitivity and Resolution in Orbitrap-based Single Ion Mass Spectrometry
title: Raw data for ultralong transients (&gt; 25 s) measurements corresponding to single particle Orbitrap-based CDMS analysis or ensemble native MS.
DOI: 10.6084/m9.figshare.21732843.v1
title: A qualitative analysis of on-campus forbidden intimacies among undergraduate students in Lahore, Pakistan

description: Albeit the social disapproval and stigmatization, romance is an incontrovertible feature of youth culture in Pakistan. This study generates a multifaceted understanding about the intimate relationship development and dissolution, in particular the pre-dissolution conditions and post-dissolution adjustment among unmarried, non-cohabiting emerging adults. Qualitative methods were applied, comprising 129 in-depth interviews and three focus group discussions among undergraduate students at XYZ university located in Lahore city, Pakistan. Despite the public disapproval of intimacy out of wedlock and expression of love in public, the young adults reported finding ways to dealt with this situation and make intimate relationships. The nature of romantic affiliation is thereby diverging from that of the earlier generation. The attachment level to partner was primarily emotional and spiritual in the past, while it is physical and sexual for the new generation. Based on these findings, it is anticipated that the nature of intimate relationships might induce change in marriage and family system in broader society.
DOI: 10.6084/m9.figshare.21732843
title: A qualitative analysis of on-campus forbidden intimacies among undergraduate students in Lahore, Pakistan

description: Albeit the social disapproval and stigmatization, romance is an incontrovertible feature of youth culture in Pakistan. This study generates a multifaceted understanding about the intimate relationship development and dissolution, in particular the pre-dissolution conditions and post-dissolution adjustment among unmarried, non-cohabiting emerging adults. Qualitative methods were applied, comprising 129 in-depth interviews and three focus group discussions among undergraduate students at XYZ university located in Lahore city, Pakistan. Despite the public disapproval of intimacy out of wedlock and expression of love in public, the young adults reported finding ways to dealt with this situation and make intimate relationships. The nature of romantic affiliation is thereby diverging from that of the earlier generation. The attachment level to partner was primarily emotional and spiritual in the past, while it is physical and sexual for the new generation. Based on these findings, it is anticipated that the nature of intimate relationships might induce change in marriage and family system in broader society.
DOI: 10.6084/m9.figshare.22649630
title: The Uses and Effectiveness of Occupational Therapy Physical Activity Interventions in Young Children with Developmental Disabilities: A Systematic Review

description: Physical activity (PA) is often used to support the development of young children (&lt;5 years) with disabilities. The effectiveness of PA as an occupational therapy (OT) treatment approach in this population has not yet been systematically examined. This research aimed to explore the uses and effectiveness of OT PA interventions on developmental indicators in young children with developmental disabilities. A systematic review of peer-reviewed publications (from 2000 onward) across six electronic databases was conducted. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework was used to assess study quality. Narrative synthesis (vote counting and structured reporting of effects) was employed to summarize the findings. Eight studies with heterogenous interventions were included. Evidence demonstrated positive trends of participation in the PA interventions on physical, cognitive, and social-emotional indicators, with significance varying. There was no association between interventions and communication indicators or negative effects related to participation in the interventions. Overall, the studies were low-quality when judged by GRADE. PA may be a promising avenue for OT interventions among young children with developmental disabilities. Rigorous research is needed to determine the magnitude of effect PA has on developmental indicators.
DOI: 10.6084/m9.figshare.22649630.v1
title: The Uses and Effectiveness of Occupational Therapy Physical Activity Interventions in Young Children with Developmental Disabilities: A Systematic Review

description: Physical activity (PA) is often used to support the development of young children (&lt;5 years) with disabilities. The effectiveness of PA as an occupational therapy (OT) treatment approach in this population has not yet been systematically examined. This research aimed to explore the uses and effectiveness of OT PA interventions on developmental indicators in young children with developmental disabilities. A systematic review of peer-reviewed publications (from 2000 onward) across six electronic databases was conducted. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework was used to assess study quality. Narrative synthesis (vote counting and structured reporting of effects) was employed to summarize the findings. Eight studies with heterogenous interventions were included. Evidence demonstrated positive trends of participation in the PA interventions on physical, cognitive, and social-emotional indicators, with significance varying. There was no association between interventions and communication indicators or negative effects related to participation in the interventions. Overall, the studies were low-quality when judged by GRADE. PA may be a promising avenue for OT interventions among young children with developmental disabilities. Rigorous research is needed to determine the magnitude of effect PA has on developmental indicators.