cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pmevg6
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, India, Bangladesh, Myanmar, Bhutan, Nepal, Viet Nam, Thailand, Lao People’s Democratic Republic, Cambodia, Philippines, Indonesia, Malaysia, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hedera helix"
 ]
}

 The dataset includes 26 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041607-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16939488
title: Meteorological Data from Kardamyla, Chios: June 2025 Baseline Measurements for the MUSICA Project

description: Key Statistics





Monthly mean temperature: 25.5 °C




Maximum temperature: 35.8 °C




Minimum temperature: 15.1 °C




Total precipitation: 0.0 mm (completely dry)




Total rainy days: 0




Maximum wind gust: 51.5 km/h




Dominant wind direction: North



Brief Analysis

June 2025 was hot and completely dry, a typical early-summer month.Average temperature exceeded 25 °C, with maxima approaching 36 °C.No rainfall was recorded, highlighting a persistent dry period.Northern winds dominated, occasionally gusting above 50 km/h, reinforcing the hot and dry climate.
DOI: 10.5281/zenodo.16939487
title: Meteorological Data from Kardamyla, Chios: June 2025 Baseline Measurements for the MUSICA Project

description: Key Statistics





Monthly mean temperature: 25.5 °C




Maximum temperature: 35.8 °C




Minimum temperature: 15.1 °C




Total precipitation: 0.0 mm (completely dry)




Total rainy days: 0




Maximum wind gust: 51.5 km/h




Dominant wind direction: North



Brief Analysis

June 2025 was hot and completely dry, a typical early-summer month.Average temperature exceeded 25 °C, with maxima approaching 36 °C.No rainfall was recorded, highlighting a persistent dry period.Northern winds dominated, occasionally gusting above 50 km/h, reinforcing the hot and dry climate.
DOI: 10.15468/dl.wejzz8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex obtusifolius",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041608-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82261/r6np-eg95
title: ToposText
DOI: 10.15468/dl.z3b2nw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ostrya virginiana"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041609-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58032/agh/8jz4s9
title: Sb/Sb4O5Cl2/C composite as a stable anode for sodium-ion batteries - research data

description: The measurements data are collected in .opju files.
DOI: 10.15468/dl.upyq6w
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acipenser naccarii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 116 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041611-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa5peg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, India, Myanmar, Thailand, Viet Nam)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aesculus hippocastanum"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041612-250811113504898/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.29978545
title: Smart Materials and Alloys for Additive Manufacturing Integration: A Review

description: The integration of smart materials and alloys with additive manufacturing (AM) technologies represents a paradigm shift in modern manufacturing, enabling the creation of highly functional, adaptive, and customizable components. Smart materials have special qualities that allow them to react dynamically to environmental stimuli like temperature, electric fields, and mechanical stress. Examples of these materials include shape-memory alloys (SMAs), piezoelectric materials, magnetostrictive alloys, and self-healing polymers. The integration of smart materials and alloys with additive manufacturing holds transformative potential across industries, offering new avenues for innovation and product design. These materials, combined with AM processes such as selective laser sintering (SLS), fused deposition modeling, and direct ink writing, enable the creation of complex geometries and multifunctional components that were previously unattainable through traditional manufacturing methods. Furthermore, the paper examines the applications of smart materials and alloys in creating adaptive systems and multifunctional devices, such as self-healing structures, shape-changing actuators, and flexible sensors. The study provides a comprehensive overview of recent advances in the integration of smart materials and alloys into various AM techniques, such as powder bed fusion, direct ink writing, and stereolithography. Key challenges, including material-process compatibility, thermal and mechanical limitations, and scalability, are critically analyzed in the study. This study attempts to assist academics and companies in realizing the full potential of AM-enabled smart material applications by analyzing current advancements, challenges, and opportunities for the future research works. As a result, the review concludes with potential future research directions and the transformative impact of this integration on modern manufacturing and product design.
DOI: 10.6084/m9.figshare.29978545.v1
title: Smart Materials and Alloys for Additive Manufacturing Integration: A Review

description: The integration of smart materials and alloys with additive manufacturing (AM) technologies represents a paradigm shift in modern manufacturing, enabling the creation of highly functional, adaptive, and customizable components. Smart materials have special qualities that allow them to react dynamically to environmental stimuli like temperature, electric fields, and mechanical stress. Examples of these materials include shape-memory alloys (SMAs), piezoelectric materials, magnetostrictive alloys, and self-healing polymers. The integration of smart materials and alloys with additive manufacturing holds transformative potential across industries, offering new avenues for innovation and product design. These materials, combined with AM processes such as selective laser sintering (SLS), fused deposition modeling, and direct ink writing, enable the creation of complex geometries and multifunctional components that were previously unattainable through traditional manufacturing methods. Furthermore, the paper examines the applications of smart materials and alloys in creating adaptive systems and multifunctional devices, such as self-healing structures, shape-changing actuators, and flexible sensors. The study provides a comprehensive overview of recent advances in the integration of smart materials and alloys into various AM techniques, such as powder bed fusion, direct ink writing, and stereolithography. Key challenges, including material-process compatibility, thermal and mechanical limitations, and scalability, are critically analyzed in the study. This study attempts to assist academics and companies in realizing the full potential of AM-enabled smart material applications by analyzing current advancements, challenges, and opportunities for the future research works. As a result, the review concludes with potential future research directions and the transformative impact of this integration on modern manufacturing and product design.
DOI: 10.15468/dl.fes8fm
title: Occurrence Download

description: A dataset containing 4873130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is AUS.10_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4873130 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041577-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16939534
title: Meteorological Data from Kardamyla, Chios: July 2025 Baseline Measurements for the MUSICA Project

description: Key Statistics





Monthly mean temperature: 27.4 °C




Maximum temperature: 37.8 °C




Minimum temperature: 17.4 °C




Total precipitation: 0.0 mm (completely dry)




Total rainy days: 0




Maximum wind gust: 41.8 km/h




Dominant wind direction: North



Brief Analysis

July 2025 was extremely hot and completely dry, with an average monthly temperature of 27.4 °C and several days exceeding 35 °C.No rainfall was observed, continuing the summer drought.The winds were moderate, peaking at 42 km/h, consistently from the north.The combination of high heat and persistent dryness marks July as one of the harshest months of the year.
DOI: 10.5281/zenodo.16939535
title: Meteorological Data from Kardamyla, Chios: July 2025 Baseline Measurements for the MUSICA Project

description: Key Statistics





Monthly mean temperature: 27.4 °C




Maximum temperature: 37.8 °C




Minimum temperature: 17.4 °C




Total precipitation: 0.0 mm (completely dry)




Total rainy days: 0




Maximum wind gust: 41.8 km/h




Dominant wind direction: North



Brief Analysis

July 2025 was extremely hot and completely dry, with an average monthly temperature of 27.4 °C and several days exceeding 35 °C.No rainfall was observed, continuing the summer drought.The winds were moderate, peaking at 42 km/h, consistently from the north.The combination of high heat and persistent dryness marks July as one of the harshest months of the year.
DOI: 10.5517/ccdc.csd.cc2ddsh3
title: CCDC 2216825: Experimental Crystal Structure Determination

description: Related Article: Jin-Qin Zhao, Liang-Liang Mao, Guo-Hui Zhang, Shun-Ze Zhan, Hongyan Xiao, Shaoguang Zhang, Chen-Ho Tung, Li-Zhu Wu, Huan Cong|2023|J.Mater.Chem.A|11|4672|doi:10.1039/D2TA09379K
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.9yyhwh
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Copella compta)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 49 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041613-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vmxan
title: Occurrence Download

description: A dataset containing 1627 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is JRS Wetands data Rwanda, 2019"
 ]
}

 The dataset includes 1627 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041614-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16939429
title: Prompt2MusicLibrary: Exploring Controllability in Text-to-Music via Structured Prompts
DOI: 10.5281/zenodo.16939428
title: Prompt2MusicLibrary: Exploring Controllability in Text-to-Music via Structured Prompts
DOI: 10.25909/29396462
title: Anti-anginal Efficacy of Ticagrelor in Coronary Slow Flow

description: The CSFP is an angiographic finding characterised by the delayed passage of contrast through the coronary arteries, despite the absence of obstructive coronary artery disease (defined as less than 50% narrowing of the vessel lumen). Ticagrelor may serve as an effective anti-anginal therapy for these patients by increasing adenosine levels, which could alleviate coronary microvascular dysfunction and its associated angina due to its vasodilatory properties.This study is designed as a double-­blind, placebo controlled, crossover study, to assess the effect of ticagrelor 90mg bd on angina frequency in patients with the Coronary Slow Flow Phenomenon (CSFP) who experience angina at least 3 times/week.This asset includes data evaluating the anti-anginal efficacy of a 4-week ticagrelor therapy regimen in 20 CSFP patients with refractory angina. The mean age of patients 61.5 ± 10.5 years and 40% were women. Additionally, the asset includes the trial primary endpoint, which was the frequency of angina episodes, recorded using an angina diary. Secondary endpoints include the duration and severity of angina episodes, consumption of short-acting nitrates, and health status evaluations using the Seattle Angina Questionnaire (SAQ) and the Short Form-36 (SF-36) indices.Results from the data asset are publicly available in an open-access publication: https://www.mdpi.com/2077-0383/13/17/5235Requests in relation to this data asset should be made to the corresponding author. The data are not publicly available due to privacy and ethical restrictions.
description: HeSANDA 1.0.0
DOI: 10.25909/29396462.v3
title: Anti-anginal Efficacy of Ticagrelor in Coronary Slow Flow

description: The CSFP is an angiographic finding characterised by the delayed passage of contrast through the coronary arteries, despite the absence of obstructive coronary artery disease (defined as less than 50% narrowing of the vessel lumen). Ticagrelor may serve as an effective anti-anginal therapy for these patients by increasing adenosine levels, which could alleviate coronary microvascular dysfunction and its associated angina due to its vasodilatory properties.This study is designed as a double-­blind, placebo controlled, crossover study, to assess the effect of ticagrelor 90mg bd on angina frequency in patients with the Coronary Slow Flow Phenomenon (CSFP) who experience angina at least 3 times/week.This asset includes data evaluating the anti-anginal efficacy of a 4-week ticagrelor therapy regimen in 20 CSFP patients with refractory angina. The mean age of patients 61.5 ± 10.5 years and 40% were women. Additionally, the asset includes the trial primary endpoint, which was the frequency of angina episodes, recorded using an angina diary. Secondary endpoints include the duration and severity of angina episodes, consumption of short-acting nitrates, and health status evaluations using the Seattle Angina Questionnaire (SAQ) and the Short Form-36 (SF-36) indices.Results from the data asset are publicly available in an open-access publication: https://www.mdpi.com/2077-0383/13/17/5235Requests in relation to this data asset should be made to the corresponding author. The data are not publicly available due to privacy and ethical restrictions.
description: HeSANDA 1.0.0
DOI: 10.25909/29396462.v2
title: Anti-anginal Efficacy of Ticagrelor in Coronary Slow Flow

description: The CSFP is an angiographic finding characterised by the delayed passage of contrast through the coronary arteries, despite the absence of obstructive coronary artery disease (defined as less than 50% narrowing of the vessel lumen). Ticagrelor may serve as an effective anti-anginal therapy for these patients by increasing adenosine levels, which could alleviate coronary microvascular dysfunction and its associated angina due to its vasodilatory properties.This study is designed as a double-­blind, placebo controlled, crossover study, to assess the effect of ticagrelor 90mg bd on angina frequency in patients with the Coronary Slow Flow Phenomenon (CSFP) who experience angina at least 3 times/week.This asset includes data evaluating the anti-anginal efficacy of a 4-week ticagrelor therapy regimen in 20 CSFP patients with refractory angina. The mean age of patients 61.5 ± 10.5 years and 40% were women. Additionally, the asset includes the trial primary endpoint, which was the frequency of angina episodes, recorded using an angina diary. Secondary endpoints include the duration and severity of angina episodes, consumption of short-acting nitrates, and health status evaluations using the Seattle Angina Questionnaire (SAQ) and the Short Form-36 (SF-36) indices.Results from the data asset are publicly available in an open-access publication: https://www.mdpi.com/2077-0383/13/17/5235Requests in relation to this data asset should be made to the corresponding author. The data are not publicly available due to privacy and ethical restrictions.
description: HeSANDA 1.0.0
DOI: 10.15468/dl.f5dm9z
title: Occurrence Download

description: A dataset containing 12543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is FRA.13.2.2_1",
 "TaxonKey is Passeriformes",
 "Year 2002-2024"
 ]
}

 The dataset includes 12543 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041616-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rumduw
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is RUS.27.20_1",
 "TaxonKey is Passeriformes",
 "Year 2002-2024"
 ]
}

 The dataset includes 72 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041617-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14606556
title: geoSABINA: Species distribution models (SDMs): Tree species

description: This dataset provides information on the current and future potential distribution of trees in peninsular Spain, predicted using species distribution models (SDMs). For each species, the SDMs were projected under current (1990-2010) and four future (2071-2100) climate scenarios. Models were generated with the R package sabinaNSDM using a spatially-nested hierarchical (NSDM) and ensemble approach combining two scales (global and regional) and three statistical algorithms: generalized linear models, gradient boosted machine, and random forests. Model training utilized tree species occurrence data alongside environmental variables from the geoSABINA dataset. The SDMs employed two spatially-nested hierarchical modeling (NSDM) strategies: the covariate strategy and multiply strategy. This dataset includes both continuous suitability maps and binary presence-absence maps [derived from the suitability maps using thresholds based on True Skill Statistic (bin.TSS.tif files) and the Receiver Operating Characteristic (bin.ROC.tif) curve]. Additionally, uncertainty maps  (EMcv.tif files) are provided. This dataset comprises a total of 2,835 raster layers in TIFF format, with a spatial resolution of 250 x 250 meter. Model thresholds and accuracy values are provided in the directory “values”. A detailed list of available layers is provided in data_table_sdms_trees.csv, which includes information on the category, dataset, description, resolution, time period, and path.

 

Raster information



Resolution: 250 m

Extent: -75888.32, 1031611.68, 3977269.52, 4870519.52 (xmin, xmax, ymin, ymax)

CRS: WGS 84 / UTM Zone 30N (EPSG:32630)


References: The references in this list should be added to any publication using these data:



Goicolea, T., Morales-Barbero, J., García-Viñas, J.I, Gastón, A., Aroca-Fernández, M.J., Calleja, J.A., Moren, J.C. , Ramos-Gutiérrez, I., Rodríguez, M.A., Lima, H., Broennimann, O., Guisan, A, Adde, A., Pérez-Latorre, A.V., G. Mateo, R. (2025) Scientific Data.

Goicolea, T., Adde, A., Broennimann, O., García-Viñas, J.I., Gastón, A., Aroca-Fernández, M.J. et al. (2024). Spatially-Nested Hierarchical Species Distribution Models to Overcome Niche Truncation in National-Scale Studies. Ecography. https://doi.org/10.1111/ecog.07328
DOI: 10.5281/zenodo.14606557
title: geoSABINA: Species distribution models (SDMs): Tree species

description: This dataset provides information on the current and future potential distribution of trees in peninsular Spain, predicted using species distribution models (SDMs). For each species, the SDMs were projected under current (1990-2010) and four future (2071-2100) climate scenarios. Models were generated with the R package sabinaNSDM using a spatially-nested hierarchical (NSDM) and ensemble approach combining two scales (global and regional) and three statistical algorithms: generalized linear models, gradient boosted machine, and random forests. Model training utilized tree species occurrence data alongside environmental variables from the geoSABINA dataset. The SDMs employed two spatially-nested hierarchical modeling (NSDM) strategies: the covariate strategy and multiply strategy. This dataset includes both continuous suitability maps and binary presence-absence maps [derived from the suitability maps using thresholds based on True Skill Statistic (bin.TSS.tif files) and the Receiver Operating Characteristic (bin.ROC.tif) curve]. Additionally, uncertainty maps  (EMcv.tif files) are provided. This dataset comprises a total of 2,835 raster layers in TIFF format, with a spatial resolution of 250 x 250 meter. Model thresholds and accuracy values are provided in the directory “values”. A detailed list of available layers is provided in data_table_sdms_trees.csv, which includes information on the category, dataset, description, resolution, time period, and path.

 

Raster information



Resolution: 250 m

Extent: -75888.32, 1031611.68, 3977269.52, 4870519.52 (xmin, xmax, ymin, ymax)

CRS: WGS 84 / UTM Zone 30N (EPSG:32630)


References: The references in this list should be added to any publication using these data:



Goicolea, T., Morales-Barbero, J., García-Viñas, J.I, Gastón, A., Aroca-Fernández, M.J., Calleja, J.A., Moren, J.C. , Ramos-Gutiérrez, I., Rodríguez, M.A., Lima, H., Broennimann, O., Guisan, A, Adde, A., Pérez-Latorre, A.V., G. Mateo, R. (2025) Scientific Data.

Goicolea, T., Adde, A., Broennimann, O., García-Viñas, J.I., Gastón, A., Aroca-Fernández, M.J. et al. (2024). Spatially-Nested Hierarchical Species Distribution Models to Overcome Niche Truncation in National-Scale Studies. Ecography. https://doi.org/10.1111/ecog.07328