cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ed726y
title: Occurrence Download

description: A dataset containing 832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pristimantis myersi (Goin & Cochran, 1963)"
 ]
}

 The dataset includes 832 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000846-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00133.00366
title: Weibo and Twitter datasets
title: 微博与推特数据集

description: Weibo and Twitter sentiment classification dataset The Weibo dataset collects images and text Weibo posts posted by users on the Sina Weibo client from January to February 2020. The Twitter dataset is ReactionGIF. 
description: Weibo and Twitter sentiment classification dataset The Weibo dataset collects images and text Weibo posts posted by users on the Sina Weibo client from January to February 2020. The Twitter dataset is ReactionGIF.
DOI: 10.57760/sciencedb.13148
title: A dataset of glacier inventory in Hunza Basin during the early twenty-first century
title: A dataset of glacier inventory in Hunza Basin during the early twenty-first century

description: Based on a semi-automatic method combining automatic segmentation and manual correction, a multi-temporal Hunza Basin glacier inventory compiled from Landsat TM/ETMC/OLI (ThematicMapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) images for the 2000s, and 2020s. The inventory is sufficiently accurate, with an overall uncertainty of ±3.68 %.
description: Based on a semi-automatic method combining automatic segmentation and manual correction, a multi-temporal Hunza Basin glacier inventory compiled from Landsat TM/ETMC/OLI (ThematicMapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) images for the 2000s, and 2020s. The inventory is sufficiently accurate, with an overall uncertainty of ±3.68 %.
DOI: 10.57760/sciencedb.13156
title: Patent Citation Classification Dataset
title: 专利引用分类数据集

description: The dataset used in the experimental part of the paper "Research on Patent Citation Classification and Similarity Calculation Integrating Knowledge Graph". 
description: The dataset used in the experimental part of the paper "Research on Patent Citation Classification and Similarity Calculation Integrating Knowledge Graph".
DOI: 10.57760/sciencedb.13163
title: Compounds 1-13 Characterization-2023110
title: Compounds 1-13 Characterization-2023110

description: Isoxerophilusins A (1) and B (2), two unprecedented diterpene heterodimers biogenetically from ent-atisanes and abietanes, were isolated from the rhizomes of Isodon xerophilus. Their structures were determined by extensive spectroscopic analysis and single crystal X-ray diffraction. Selective esterification of 1 generated 11 new derivatives.
description: Isoxerophilusins A (1) and B (2), two unprecedented diterpene heterodimers biogenetically from ent-atisanes and abietanes, were isolated from the rhizomes of Isodon xerophilus. Their structures were determined by extensive spectroscopic analysis and single crystal X-ray diffraction. Selective esterification of 1 generated 11 new derivatives.
DOI: 10.57760/sciencedb.13164
title: A dataset of glacier velocity in Hunza Basin during the early twenty-first century
title: A dataset of glacier velocity in Hunza Basin during the early twenty-first century

description: Based on offset tracking, a multi-temporal Hunza Basin glacier velocity compiled from Landsat TM/ETMC/OLI (Thematic Mapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) images from 2000 to 2021. The statistical analysis of the residual movement in the non-glacial region indicates that the overall accuracy is about 0.05 m/d.
description: Based on offset tracking, a multi-temporal Hunza Basin glacier velocity compiled from Landsat TM/ETMC/OLI (Thematic Mapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) images from 2000 to 2021. The statistical analysis of the residual movement in the non-glacial region indicates that the overall accuracy is about 0.05 m/d.
DOI: 10.57760/sciencedb.13165
title: A dataset of glacier thickness in Hunza Basin
title: A dataset of glacier thickness in Hunza Basin

description: Glacier thickness in Hunza Basin compiled from glacier inventory, surface velocity and digital elevation model. The accuracy of the data depends on the accuracy of the glacier velocity and the precision of the digital elevation model.
description: Glacier thickness in Hunza Basin compiled from glacier inventory, surface velocity and digital elevation model. The accuracy of the data depends on the accuracy of the glacier velocity and the precision of the digital elevation model.
DOI: 10.57760/sciencedb.13161
title: Supporting Data the Multi-task Learning for ARLE-NER
title: Supporting Data the Multi-task Learning for ARLE-NER

description: This dataset is the supporting data for the Multi-task Learning for Ancient Ritual Literature Etiquette Entity Recognition, including model code data files and experimental result analysis data files.
description: This dataset is the supporting data for the Multi-task Learning for Ancient Ritual Literature Etiquette Entity Recognition, including model code data files and experimental result analysis data files.
DOI: 10.15468/dl.e28xpx
title: Occurrence Download

description: A dataset containing 313488 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MIZ PAS Zoological Collections"
 ]
}

 The dataset includes 313488 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000848-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.iga.00738
title: Helen Glorious Small Watershed Soil Physical Properties Dataset (1995)
title: 海伦光荣小流域土壤物理性状数据集（1995年）

description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Soil Physical Properties Dataset (1995)

Contains 1 table: Excel

(1) Soil physical properties

This includes indicators such as soil depth, bulk density, total porosity, field capacity, saturated capacity, and leakage rate at the Helen Experimental Station.

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected in 1995

e. The spatial range and projection method of data

Helen Glorious Small Watershed
description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Soil Physical Properties Dataset (1995)

Contains 1 table: Excel

(1) Soil physical properties

This includes indicators such as soil depth, bulk density, total porosity, field capacity, saturated capacity, and leakage rate at the Helen Experimental Station.

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected in 1995

e. The spatial range and projection method of data

Helen Glorious Small Watershed
DOI: 10.57760/sciencedb.iga.00739
title: Helen Glorious Small Watershed Soil Moisture Dataset (1995)
title: 海伦光荣小流域土壤水分数据集（1995年）

description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Soil Moisture Dataset (1995)

This includes indicators such as soil depth, water storage capacity, and soil moisture content at Helen Experimental Station.

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected in 1995

e. The spatial range and projection method of data

Helen Glorious Small Watershed
description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Soil Moisture Dataset (1995)

This includes indicators such as soil depth, water storage capacity, and soil moisture content at Helen Experimental Station.

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected in 1995

e. The spatial range and projection method of data

Helen Glorious Small Watershed
DOI: 10.57760/sciencedb.iga.00740
title: Helen Glorious Small Watershed Soil Nutrient Dataset (1995)
title: 海伦光荣小流域土壤养分数据集（1995年）

description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Soil Nutrient Dataset (1995)

This includes indicators such as soil depth, organic matter, total nitrogen, total phosphorus, total potassium, and pH at the Helen Experimental Station.

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected in 1995

e. The spatial range and projection method of data

Helen Glorious Small Watershed
description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Soil Nutrient Dataset (1995)

This includes indicators such as soil depth, organic matter, total nitrogen, total phosphorus, total potassium, and pH at the Helen Experimental Station.

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected in 1995

e. The spatial range and projection method of data

Helen Glorious Small Watershed
DOI: 10.57760/sciencedb.iga.00741
title: Helen Glorious Small Watershed Land Use Status Dataset (1987-1991)
title: 海伦光荣小流域土地利用状况数据集（1987-1991年）

description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Land Use Status Dataset (1987-1991)

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected from 1987 to 1991

e. The spatial range and projection method of data

Helen Glorious Small Watershed
description: a. Data content (data file/table name, including observation index content)

Data File Name: Helen Guangrong Small Watershed Land Use Status Dataset (1987-1991)

b. Construction purpose

Study the causes of soil erosion in the Guangrong Small Watershed and explore measures for soil erosion control that are tailored to local conditions.

c. Service object

Students, managers, and researchers engaged in research related to soil erosion and soil conservation

d. Time range of data

The data was collected from 1987 to 1991

e. The spatial range and projection method of data

Helen Glorious Small Watershed
DOI: 10.57760/sciencedb.iga.00742
title: 1:100000 Grassland Surface Resource Distribution Dataset in Shenyang Region (1993)
title: 沈阳地区1:100万草地面状资源分布数据集(1993年)

description: a. Data content (data file/table name, including observation index content)

Data file name: 1:100000 grassland surface resource distribution map in Shenyang area (1993)

Main content: K51 shenyang.shp

b. Construction purpose

Vector grassland resources to provide services for the development of animal husbandry and circular agriculture research.

c. Service object

Students and researchers engaged in research on agricultural ecology, natural geography, and animal husbandry.

d. Time range of data

The data was collected in 1993.

e. The spatial range and projection method of data

Space scope: Shenyang area
description: a. Data content (data file/table name, including observation index content)

Data file name: 1:100000 grassland surface resource distribution map in Shenyang area (1993)

Main content: K51 shenyang.shp

b. Construction purpose

Vector grassland resources to provide services for the development of animal husbandry and circular agriculture research.

c. Service object

Students and researchers engaged in research on agricultural ecology, natural geography, and animal husbandry.

d. Time range of data

The data was collected in 1993.

e. The spatial range and projection method of data

Space scope: Shenyang area
DOI: 10.57760/sciencedb.13168
title: Coherently-tiled-Ti:sapphire laser amplification: a way to break the 10 Petawatt limit on the current ultra-intense lasers
title: Coherently-tiled-Ti:sapphire laser amplification: a way to break the 10 Petawatt limit on the current ultra-intense lasers

description: After reaching a world record of 10 Petawatt (PW), the peak power development of the titanium-sapphire (Ti:sapphire) PW ultra-intense lasers has hit a bottleneck and seems to be difficult to continue increasing due to the difficulty of manufacturing larger Ti:sapphire crystals and the limitation of parasitic lasing that can consume stored pump energy. Unlike coherent beam combining, coherent Ti:sapphire tiling is a viable solution for expanding Ti:sapphire crystal sizes, truncating transverse amplified spontaneous emission (TASE), suppressing parasitic lasing and, importantly, not requiring complex space-time tiling control. Here, a theoretical analysis of the above features and an experimental demonstration of high-quality laser amplification are reported. The results show that the addition of a 2 × 2 tiled-Ti:sapphire amplifier to the today’s 10 PW ultra-intense laser is a viable technique to break the 10 PW limit and directly increase the highest peak power recorded by a factor of 4, further approaching the Exawatt-class (EW).
description: After reaching a world record of 10 Petawatt (PW), the peak power development of the titanium-sapphire (Ti:sapphire) PW ultra-intense lasers has hit a bottleneck and seems to be difficult to continue increasing due to the difficulty of manufacturing larger Ti:sapphire crystals and the limitation of parasitic lasing that can consume stored pump energy. Unlike coherent beam combining, coherent Ti:sapphire tiling is a viable solution for expanding Ti:sapphire crystal sizes, truncating transverse amplified spontaneous emission (TASE), suppressing parasitic lasing and, importantly, not requiring complex space-time tiling control. Here, a theoretical analysis of the above features and an experimental demonstration of high-quality laser amplification are reported. The results show that the addition of a 2 × 2 tiled-Ti:sapphire amplifier to the today’s 10 PW ultra-intense laser is a viable technique to break the 10 PW limit and directly increase the highest peak power recorded by a factor of 4, further approaching the Exawatt-class (EW).
DOI: 10.15468/dl.nbvf2t
title: Occurrence Download

description: A dataset containing 5640684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Boraginales"
 ]
}

 The dataset includes 5640684 records from 6721 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000843-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpqbch
title: Occurrence Download

description: A dataset containing 87515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Numenius phaeopus (Linnaeus, 1758), Larosterna inca (R.Lesson & Garnot, 1827), Leucocarbo bougainvillii (Lesson, 1837), Diomedea epomophora Lesson, 1825)"
 ]
}

 The dataset includes 87515 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077582-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mus7jg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amanita subjunquillea S.Imai)",
 "BasisOfRecord is one of (Human Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1979",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077635-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj9bqh
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrosporium simplex Mattir."
 ]
}

 The dataset includes 161 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077634-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ax9uqy
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Jasminum sambac (L.) Aiton"
 ]
}

 The dataset includes 134 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077639-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbhudw
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.85786 41.5613,2.0079 41.56141,2.04536 41.5613,2.04536 41.70843,1.85786 41.70843,1.85786 41.5613))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Arenaria conimbricensis subsp. conimbricensis, Campanula speciosa subsp. affinis (Schult.) Font Quer, Campanula speciosa subsp. affinis (Schult.) FontQuer, Cuscuta planiflora Ten., Dianthus multiceps subsp. multiceps, Dianthus seguieri subsp. requienii (Godr.) M.Bernal, M.Laínz & Muñoz Garm., Filago lutescens Jord., Glechoma hederacea subsp. hederacea, Glechoma hederacea var. hederacea, Leucanthemum pallens (J.Gay ex Perreym.) DC.)"
 ]
}

 The dataset includes 331 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077636-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mjzdr
title: Occurrence Download

description: A dataset containing 21369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.54899 39.87611,-3.19817 39.87724,-3.19895 40.14754,-3.55115 40.1464,-3.54899 39.87611))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "Year 2014-2024"
 ]
}

 The dataset includes 21369 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077640-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11636824
title: Job Ads in Retail and E-commerce sectors for INAIR project countries

description: INAIR (Increasing the Uptake of AI in Retail) is a Coordination and Support Action funded by the European Union'’s Horizon Europe Research and Innovation programme - Grant Agreement No. 101133847. The project aims to contribute to reducing the AI skills gap of European MSMEs in Retail, to let them exploit the potential of AI for greening their businesses, support their competitiveness in the global market and ultimately contribute to reaching the digital decade target of 75%+ European companies adopting AI technologies by 2030. 

This dataset contains job advertisements from the retail and e-commerce sectors in Cyprus, Germany, Italy, Poland, and Romania, collected as part of the INAIR Horizon Europe project. This resource supports analyses of digital skill requirements and helps identify trends and gaps in the labor market for the retail and e-commerce sectors.

Data was collected three times during the period from March to May 2024, resulting in a total of 44,494 job offers.
description: Disclaimer: This project received funding from the European Union's Horizon Europe Research and Innovation programme - Grant Agreement No. 101133847. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.
DOI: 10.5281/zenodo.11636825
title: Job Ads in Retail and E-commerce sectors for INAIR project countries

description: INAIR (Increasing the Uptake of AI in Retail) is a Coordination and Support Action funded by the European Union'’s Horizon Europe Research and Innovation programme - Grant Agreement No. 101133847. The project aims to contribute to reducing the AI skills gap of European MSMEs in Retail, to let them exploit the potential of AI for greening their businesses, support their competitiveness in the global market and ultimately contribute to reaching the digital decade target of 75%+ European companies adopting AI technologies by 2030. 

This dataset contains job advertisements from the retail and e-commerce sectors in Cyprus, Germany, Italy, Poland, and Romania, collected as part of the INAIR Horizon Europe project. This resource supports analyses of digital skill requirements and helps identify trends and gaps in the labor market for the retail and e-commerce sectors.

Data was collected three times during the period from March to May 2024, resulting in a total of 44,494 job offers.
description: Disclaimer: This project received funding from the European Union's Horizon Europe Research and Innovation programme - Grant Agreement No. 101133847. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.