cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2mjg4s
title: CCDC 2428885: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Andreas Feldmann, Gerhard Erker|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mjg8x
title: CCDC 2428889: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Santhosh Kumar Podiyanachari, Gerhard Erker|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mjkvl
title: CCDC 2429000: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Jiangang Yu, Gerhard Erker|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.2vgn4g
title: Occurrence Download

description: A dataset containing 49279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chondrilla juncea L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 49279 records from 712 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008582-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28742313
title: Data for figures from Learning from nature: photosynthetic traits conferring superior salt tolerance in wild rice Oryza coarctata

description: raw data for revised figs.xlsx
DOI: 10.15468/dl.yp9xba
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ambrosia canescens A.Gray, Ambrosia canescens, Ambrosia canescens, Ambrosia canescens A.Gray, Ambrosia canescens A.Gray, Ambrosia canescens A.Gray, Ambrosia canescens A.Gray, Ambrosia canescens A.Gray, 1882, Ambrosia canescens A. Gray, Ambrosia canescens A.Gray, 1882, Ambrosia canescens (Benth.) Gray, Ambrosia canescens A.Gray, Franseria canescens (A.Gray) Rydb., Franseria canescens (A.Gray) Rydb., 1922, Franseria canescens (A.Gray) Rydb., Franseria canescens (A.Gray) Rydb., Franseria canescens (A.Gray) Rydb., Franseria canescens (A. Gray) Rydb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016329-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/6092006
title: 🇲🇾 Reddit r/Malaysia Subreddit Dataset
DOI: 10.15468/dl.t6raet
title: Occurrence Download

description: A dataset listing the 4005911 species recorded in GBIF matching the query:
{ }

 The dataset's 4005911 records were derived from 68929 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016305-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27756309
title: GlobeDoc Platform Deposits.pdf

description: <b><i>GlobeDoc Platform Deposits</i></b><i> information </i><i>file in the repository</i>
DOI: 10.5281/zenodo.14168054
title: Sources and Evolution of Materia medica - A meta-analytic report

description: https://sdbindex.com/Document/document_search?title=SOURCES & EVOLUTION OF MATERIA MEDICA – A META ANALYTIC REPORT&type=1
DOI: 10.5281/zenodo.14168055
title: Sources and Evolution of Materia medica - A meta-analytic report

description: https://sdbindex.com/Document/document_search?title=SOURCES & EVOLUTION OF MATERIA MEDICA – A META ANALYTIC REPORT&type=1
DOI: 10.5281/zenodo.14103144
title: The Impact of Website Design, E-Service Quality, Satisfaction, Trust to Intention to Purchase Skin Care Products in the E-Marketplace

description: The study aims to identify factors influencing pricing, understand how pricing affects purchase intention and customer satisfaction, and provide valuable insights for skincare businesses to develop effective pricing strategies in Indonesia’s skincare market. The study used a purposive sampling approach, collecting data from 123 respondents who were internet users in Indonesia in January 2024. These respondents have engaged with online retailers to purchase skin care products. The results found that website design affects e-service quality, affecting customer satisfaction and trust. Customer satisfaction and trust have a significant impact on repurchase intentions. This study recommends that skincare businesses focus on website design, provide high-quality e-services, and implement customer satisfaction and loyalty programs. Future research can explore additional factors and conduct similar studies in different locations or product categories.  

Keywords—Website design, skin care, e-marketplace, purchase intention, customer satisfaction, customer trust, e-service quality.
DOI: 10.5281/zenodo.14103145
title: The Impact of Website Design, E-Service Quality, Satisfaction, Trust to Intention to Purchase Skin Care Products in the E-Marketplace

description: The study aims to identify factors influencing pricing, understand how pricing affects purchase intention and customer satisfaction, and provide valuable insights for skincare businesses to develop effective pricing strategies in Indonesia’s skincare market. The study used a purposive sampling approach, collecting data from 123 respondents who were internet users in Indonesia in January 2024. These respondents have engaged with online retailers to purchase skin care products. The results found that website design affects e-service quality, affecting customer satisfaction and trust. Customer satisfaction and trust have a significant impact on repurchase intentions. This study recommends that skincare businesses focus on website design, provide high-quality e-services, and implement customer satisfaction and loyalty programs. Future research can explore additional factors and conduct similar studies in different locations or product categories.  

Keywords—Website design, skin care, e-marketplace, purchase intention, customer satisfaction, customer trust, e-service quality.
DOI: 10.5281/zenodo.13143969
title: Sector-coupled model for the German energy system in 2019

description: This repository contains input data for the open-source Python tool eTraGo (electricity Transmission Grid optimization) version 0.10.0.This data will be uploaded to the OpenEnergy Platform which can be accessed by eTraGo. This dataset is an intermediate solution until the data is uploaded.

The published data includes the sector-coupled transmission grid data for the scenario status2019. It was created with the open-source tool powerd-data within the research project PoWerD. All input data sets as well as the code are available under open source licenses.

We thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project PoWerD (grant number: 03EI1042C)

The data is stored as a PostgreSQL database in the attached backup file. First, the required schemas and extensions have to be created within the database by running the following SQL statements:

CREATE SCHEMA grid;CREATE SCHEMA boundaries;CREATE EXTENSION postgis;

Afterwards, the data can be restored by using e.g. pgAdmin or via PostgreSQL's pg_restore command (replace HOST,  DATABASE_NAME,  PORT and USER by your settings):

pg_restore --host HOST --port PORT --username USER --no-password --dbname DATABASE_NAME --no-owner --no-privileges --verbose "PoWerD_status2019.backup"
DOI: 10.5281/zenodo.13865306
title: Sector-coupled model for the German energy system in 2019

description: This repository contains input data for the open-source Python tool eTraGo (electricity Transmission Grid optimization) version 0.10.0.This data will be uploaded to the OpenEnergy Platform which can be accessed by eTraGo. This dataset is an intermediate solution until the data is uploaded.

The published data includes the sector-coupled transmission grid data for the scenario status2019. It was created with the open-source tool powerd-data within the research project PoWerD. All input data sets as well as the code are available under open source licenses.

We thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project PoWerD (grant number: 03EI1042C)

The data is stored as a PostgreSQL database in the attached backup file. First, the required schemas and extensions have to be created within the database by running the following SQL statements:

CREATE EXTENSION postgis;

Afterwards, the data can be restored by using e.g. pgAdmin or via PostgreSQL's pg_restore command (replace HOST,  DATABASE_NAME,  PORT and USER by your settings):

pg_restore --host HOST --port PORT --username USER --no-password --dbname DATABASE_NAME --no-owner --no-privileges --verbose "PoWerD_status2019.backup"
DOI: 10.5281/zenodo.13143968
title: Sector-coupled model for the German energy system in 2019

description: This repository contains input data for the open-source Python tool eTraGo (electricity Transmission Grid optimization) version 0.10.0.This data will be uploaded to the OpenEnergy Platform which can be accessed by eTraGo. This dataset is an intermediate solution until the data is uploaded.

The published data includes the sector-coupled transmission grid data for the scenario status2019. It was created with the open-source tool powerd-data within the research project PoWerD. All input data sets as well as the code are available under open source licenses.

We thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project PoWerD (grant number: 03EI1042C)

The data is stored as a PostgreSQL database in the attached backup file. First, the required schemas and extensions have to be created within the database by running the following SQL statements:

CREATE EXTENSION postgis;

Afterwards, the data can be restored by using e.g. pgAdmin or via PostgreSQL's pg_restore command (replace HOST,  DATABASE_NAME,  PORT and USER by your settings):

pg_restore --host HOST --port PORT --username USER --no-password --dbname DATABASE_NAME --no-owner --no-privileges --verbose "PoWerD_status2019_v3.backup"
DOI: 10.5281/zenodo.14168340
title: Sector-coupled model for the German energy system in 2019

description: This repository contains input data for the open-source Python tool eTraGo (electricity Transmission Grid optimization) version 0.10.0.This data will be uploaded to the OpenEnergy Platform which can be accessed by eTraGo. This dataset is an intermediate solution until the data is uploaded.

The published data includes the sector-coupled transmission grid data for the scenario status2019. It was created with the open-source tool powerd-data within the research project PoWerD. All input data sets as well as the code are available under open source licenses.

We thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project PoWerD (grant number: 03EI1042C)

The data is stored as a PostgreSQL database in the attached backup file. First, the required schemas and extensions have to be created within the database by running the following SQL statements:

CREATE EXTENSION postgis;

Afterwards, the data can be restored by using e.g. pgAdmin or via PostgreSQL's pg_restore command (replace HOST,  DATABASE_NAME,  PORT and USER by your settings):

pg_restore --host HOST --port PORT --username USER --no-password --dbname DATABASE_NAME --no-owner --no-privileges --verbose "PoWerD_status2019_v3.backup"
DOI: 10.5281/zenodo.14168419
title: Combining Goal-Oriented Requirements Analysis and Testing for Software Energy-Awareness

description: Artifacts for the paper "Combining GORE Analysis and Testing for Software Energy-Awareness"
DOI: 10.5281/zenodo.14168420
title: Combining Goal-Oriented Requirements Analysis and Testing for Software Energy-Awareness

description: Artifacts for the paper "Combining GORE Analysis and Testing for Software Energy-Awareness"
DOI: 10.15468/dl.haw92g
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lagopsis marrubiastrum, Lagopsis marrubiastrum, Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Steph.) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Steph.) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., 192400797, Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Steph.) Ikonn.-Gal., 1937, Moluccella laniflora Willd. ex Benth., Lagopsis incana Bunge, Marrubium marrubiastrum (Stephan) Hedge, Marrubium lanatum Benth., Marrubium lanatum Benth., Moluccella laniflora Willd., Lagopsis incana Bunge, Moluccella marrubiastrum Stephan, Moluccella laniflora Willd. ex Benth., Moluccella marrubiastrum Stephan, Moluccella marrubiastrum Stephan, Lagopsis incana Bunge, Marrubium lanatum Benth., Lagopsis incana Bunge, Marrubium lanatum Benth., Moluccella laniflora Willd. ex Benth., Moluccella marrubiastrum Stephan, Marrubium marrubiastrum (Stephan) Hedge, Marrubium marrubiastrum (Stephan) Hedge, Marrubium marrubiastrum (Stephan) Hedge, Moluccella marrubiastrum Stephan, Lagopsis incana Bunge, Marrubium marrubiastrum (Stephan) Hedge, Moluccella laniflora Willd. ex Benth., Marrubium lanatum Benth., Moluccella laniflora Willd. ex Benth.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 124 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016330-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14168334
title: Dataset of the microbial communities in chronosequences samples from the MINOTAUR Project

description: The MINOTAUR chronosequences microbiological dataset includes five sheets detailing soil biodiversity dynamics across Europe. It features metadata, DNA extraction metrics, bacterial ASV abundances from 16S NGS sequencing, and taxonomic affiliations, alongside contact and funding details.
DOI: 10.15468/dl.c682ax
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra atrata Aver., Tillich & B.H.Quang)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016331-241107131044228/datasets/export for details.
DOI: 10.6084/m9.figshare.27284067
title: GlobeDoc Rep. Figure 8.png

description: GlobeDoc 2017 wireframe overview.
DOI: 10.5281/zenodo.14167724
title: Molecular_dynamics_input_parameter_and_output_files_NAT2
DOI: 10.5281/zenodo.14167725
title: Molecular_dynamics_input_parameter_and_output_files_NAT2
DOI: 10.15468/dl.rtdwwt
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lagopsis marrubiastrum, Lagopsis marrubiastrum, Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Steph.) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Steph.) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., 192400797, Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Steph.) Ikonn.-Gal., 1937, Moluccella laniflora Willd. ex Benth., Lagopsis incana Bunge, Marrubium marrubiastrum (Stephan) Hedge, Marrubium lanatum Benth., Marrubium lanatum Benth., Moluccella laniflora Willd., Lagopsis incana Bunge, Moluccella marrubiastrum Stephan, Moluccella laniflora Willd. ex Benth., Moluccella marrubiastrum Stephan, Moluccella marrubiastrum Stephan, Lagopsis incana Bunge, Marrubium lanatum Benth., Lagopsis incana Bunge, Marrubium lanatum Benth., Moluccella laniflora Willd. ex Benth., Moluccella marrubiastrum Stephan, Marrubium marrubiastrum (Stephan) Hedge, Marrubium marrubiastrum (Stephan) Hedge, Marrubium marrubiastrum (Stephan) Hedge, Moluccella marrubiastrum Stephan, Lagopsis incana Bunge, Marrubium marrubiastrum (Stephan) Hedge, Moluccella laniflora Willd. ex Benth., Marrubium lanatum Benth., Moluccella laniflora Willd. ex Benth.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 124 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016334-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mc5yu
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atractylodes macrocephala Koidz."
 ]
}

 The dataset includes 267 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016335-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27756270
title: Raw data Google trends in the diagnosis of meteosensitivity.xlsx - Raw data.csv

description: Primary headache disorders, such as tension-type headaches (TTH) and migraines, are prevalent and often triggered by environmental factors like weather changes. This study used Google Trends data (2019–2023) and the Ap index to investigate the role of geomagnetic activity in triggering headaches. A total of 261 observations revealed a statistically significant but weak negative correlation between low geomagnetic activity and increased search interest for "migraine" and "headache." TTH showed greater sensitivity to low geomagnetic activity than migraines, suggesting different mechanisms. These findings highlight the need for further research into geomagnetic influences on headache disorders.
DOI: 10.6084/m9.figshare.27756270.v1
title: Raw data Google trends in the diagnosis of meteosensitivity.xlsx - Raw data.csv

description: Primary headache disorders, such as tension-type headaches (TTH) and migraines, are prevalent and often triggered by environmental factors like weather changes. This study used Google Trends data (2019–2023) and the Ap index to investigate the role of geomagnetic activity in triggering headaches. A total of 261 observations revealed a statistically significant but weak negative correlation between low geomagnetic activity and increased search interest for "migraine" and "headache." TTH showed greater sensitivity to low geomagnetic activity than migraines, suggesting different mechanisms. These findings highlight the need for further research into geomagnetic influences on headache disorders.
DOI: 10.15468/dl.u2j54r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra atrata Aver., Tillich & B.H.Quang)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016337-241107131044228/datasets/export for details.
DOI: 10.15468/dl.v5789g
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lagopsis marrubiastrum, Lagopsis marrubiastrum, Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Steph.) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ik.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Steph.) Ikonn.-Gal., Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., 192400797, Lagopsis marrubiastrum (Stephan) Ikonn.-Gal., Lagopsis marrubiastrum (Steph.) Ikonn.-Gal., 1937, Moluccella laniflora Willd. ex Benth., Lagopsis incana Bunge, Marrubium marrubiastrum (Stephan) Hedge, Marrubium lanatum Benth., Marrubium lanatum Benth., Moluccella laniflora Willd., Lagopsis incana Bunge, Moluccella marrubiastrum Stephan, Moluccella laniflora Willd. ex Benth., Moluccella marrubiastrum Stephan, Moluccella marrubiastrum Stephan, Lagopsis incana Bunge, Marrubium lanatum Benth., Lagopsis incana Bunge, Marrubium lanatum Benth., Moluccella laniflora Willd. ex Benth., Moluccella marrubiastrum Stephan, Marrubium marrubiastrum (Stephan) Hedge, Marrubium marrubiastrum (Stephan) Hedge, Marrubium marrubiastrum (Stephan) Hedge, Moluccella marrubiastrum Stephan, Lagopsis incana Bunge, Marrubium marrubiastrum (Stephan) Hedge, Moluccella laniflora Willd. ex Benth., Marrubium lanatum Benth., Moluccella laniflora Willd. ex Benth.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 124 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016338-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/211914
title: Carta Geologica dei mari italiani alla scala 1:250.000, F. NL 33-10 Ravenna

description: Foglio geologico dei mari italiani alla scala 1:250.000 basato su rilevamenti alla scala 1:100.000 comprensivo di legenda, schemi a cornice, sezioni geologiche.