cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110812575
title: Apulian Red-Figure Vase Fragment, BMC P.1489

description: [Text or Publication Number Note:] BMC P.1489 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Vase Fragment ❧ [Physical Object Note:] 3 7/8 x 3 3/8 x 1/8 in. (9.8 x 8.6 x 0.3 cm) ❧ [Physical Object Note:] Sherds
DOI: 10.15468/dl.zegzhj
title: Occurrence Download

description: A dataset containing 377449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Year is 2002"
 ]
}

 The dataset includes 377449 records from 959 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003778-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc4cfk
title: Occurrence Download

description: A dataset containing 1881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Taricha sierrae (Twitty, 1942))"
 ]
}

 The dataset includes 1881 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003784-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14697526
title: (14)-Strobl2025A-DS0021 – SLICE-1 – Tribolium castaneum AGOC{ATub'PCNA°NB-mEmerald} #1 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2

description: (14)-Strobl2025A-DS0021 – SLICE-1 – Tribolium castaneum AGOC{ATub'PCNA°NB-mEmerald} #1 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2
DOI: 10.5281/zenodo.15535615
title: Experimental_Thermal DSC_WP2_BCM

description: Several GO@PVDF-HFP composite membranes were prepared using thermally-induced phase separation (TIPS) and salt leaching (SL), using different GO contents. The thermal properties of the composite membranes were characterized by DSC.
DOI: 10.5281/zenodo.15535616
title: Experimental_Thermal DSC_WP2_BCM

description: Several GO@PVDF-HFP composite membranes were prepared using thermally-induced phase separation (TIPS) and salt leaching (SL), using different GO contents. The thermal properties of the composite membranes were characterized by DSC.
DOI: 10.5281/zenodo.15485944
title: Datasets and relevant code in the Manuscript "Seasonal and Spatial Variations in VPH Latent Heat over Northern East Asia based on GPM Observations"

description: 1-4. lh_subregions_timeseries.ncTime series of average VPH latent heat profiles over four representative regions: Yablonovy Mountains,Northeast China Plain, North China Plain, and Korean Peninsula. 

5-6. cfad_northeastchina_.ausp/summer.ncThe probability density function (PDF) of VPH latent heat in summer/ spring and autumn.

7-8.pth_northeastchina_ausp/summer.ncMean latent heat profiles over the Northeast China Plain as a function of precipitation echo top height for summer and spring/autumn

9-10. nsrr_northeastchina.ausp/summer.ncMean VPH-derived latent heat profiles over the Northeast China Plain, stratified by near-surface precipitation rates for summer and spring/autumn
DOI: 10.5281/zenodo.15485945
title: Datasets and relevant code in the Manuscript "Seasonal and Spatial Variations in VPH Latent Heat over Northern East Asia based on GPM Observations"

description: 1-4. lh_subregions_timeseries.ncTime series of average VPH latent heat profiles over four representative regions: Yablonovy Mountains,Northeast China Plain, North China Plain, and Korean Peninsula. 

5-6. cfad_northeastchina_.ausp/summer.ncThe probability density function (PDF) of VPH latent heat in summer/ spring and autumn.

7-8.pth_northeastchina_ausp/summer.ncMean latent heat profiles over the Northeast China Plain as a function of precipitation echo top height for summer and spring/autumn

9-10. nsrr_northeastchina.ausp/summer.ncMean VPH-derived latent heat profiles over the Northeast China Plain, stratified by near-surface precipitation rates for summer and spring/autumn
DOI: 10.17632/3h5r4dwhp2.1
title: The impact of HBx protein on mitochondrial dynamics and associated signaling pathways strongly depends on the Hepatitis B virus genotype

description: This dataset represents raw-data depicted in kinome analyses performed in the study (Figure 2). Kinases marked in blue represent deregulated kinases over the threshold of Mean Final Score &gt;1.3. Mean kinase statistic refers to change in kinase activity in log2-space. SD kinase statistic refers to SD of kinase activity. For further information, please refer to the material and methods section of the study currently being under revision at Journal of Virology (refer to: JVI00424-24).
DOI: 10.17632/3h5r4dwhp2.2
title: The impact of HBx protein on mitochondrial dynamics and associated signaling pathways strongly depends on the Hepatitis B virus genotype

description: This dataset represents raw-data depicted in kinome analyses performed in the study (Figure 2). Kinases marked in blue represent deregulated kinases over the threshold of Mean Final Score &gt;1.3. Mean kinase statistic refers to change in kinase activity in log2-space. SD kinase statistic refers to SD of kinase activity. For further information, please refer to the material and methods section of the study: DOI: 10.1128/jvi.00424-24.
DOI: 10.5281/zenodo.15269906
title: Data for replicate results presented in "Brazil as a global player in Fungal Conservation: A rapid shift from neglect to Action"

description: This repository is a static version of the following github page: https://github.com/kelmermcunha/funga-conservation-brIt contains all the code used in the results presented in the manuscript "Brazil as a global player in Fungal Conservation: A rapid shift from neglect to Action". It is organized into two main parts:

1. `code` directory: all scripts used to pre-clean data, prepare databases and perform spatial and endemicity analyses to estimate the total accepted known and accessible fungal species occurring in Brazil and infer the percentage of putatively endemic species within retrieved names. The README file in this subdirectory contains further details about the scripts.2. The `data` directory contains data needed to run scripts and outputs that the pipeline generates (except for GBIF downloads under endemicity analyses). It is also used for downstream analyses and figures.

Scripts are written in Python and interact with the PlutoF API (https://plutof.docs.apiary.io/#) to retrieve fungal Species Hypothesis data, and with th Global Biodiversity Information Facility (GBIF —https://techdocs.gbif.org/en/openapi/) API to retrieve usage Keys and send occurrence download requests.
DOI: 10.5281/zenodo.15269907
title: Data for replicate results presented in "Brazil as a global player in Fungal Conservation: A rapid shift from neglect to Action"

description: This repository is a static version of the following github page: https://github.com/kelmermcunha/funga-conservation-brIt contains all the code used in the results presented in the manuscript "Brazil as a global player in Fungal Conservation: A rapid shift from neglect to Action". It is organized into two main parts:

1. `code` directory: all scripts used to pre-clean data, prepare databases and perform spatial and endemicity analyses to estimate the total accepted known and accessible fungal species occurring in Brazil and infer the percentage of putatively endemic species within retrieved names. The README file in this subdirectory contains further details about the scripts.2. The `data` directory contains data needed to run scripts and outputs that the pipeline generates (except for GBIF downloads under endemicity analyses). It is also used for downstream analyses and figures.

Scripts are written in Python and interact with the PlutoF API (https://plutof.docs.apiary.io/#) to retrieve fungal Species Hypothesis data, and with th Global Biodiversity Information Facility (GBIF —https://techdocs.gbif.org/en/openapi/) API to retrieve usage Keys and send occurrence download requests.
DOI: 10.15468/dl.g2tqae
title: Occurrence Download

description: A dataset containing 43622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nocardioides Prauser, 1976"
 ]
}

 The dataset includes 43622 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015566-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w635dm
title: Occurrence Download

description: A dataset containing 3115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is North America",
 "Country is one of (United States of America, Canada)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, USFS - New York City Tree Census - 1995, New York City Street Tree Census - 2005, New York City Street Tree Census - 2015, Wisconsin State Herbarium, Vascular Plants, The New York Botanical Garden Herbarium (NY), Carnegie Museum of Natural History Herbarium)",
 "Geometry POLYGON((-169.81561 72.7805,-170.44011 53.28037,-170.44011 53.28037,-148.5825 48.56157,-111.11231 8.82978,-93.00172 3.86598,-72.39313 21.45944,-44.29047 48.56157,-59.27854 61.33648,-59.27854 70.41813,-73.01762 74.36858,-155.45205 75.18822,-169.81561 72.7805))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Recorded date mismatch, Occurrence status unparsable, Institution match fuzzy, Collection match fuzzy)",
 "TaxonKey is Acer saccharum Marshall",
 "Year 1960-2025"
 ]
}

 The dataset includes 3115 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015567-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkje7h
title: Occurrence Download

description: A dataset containing 983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Myrmica rubra (Linnaeus, 1758)",
 "Year 1975-2025"
 ]
}

 The dataset includes 983 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015569-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsmxuq
title: Occurrence Download

description: A dataset containing 11514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2004-2004"
 ]
}

 The dataset includes 11514 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012853-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqsf67
title: Occurrence Download

description: A dataset containing 28884070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Caryophyllales"
 ]
}

 The dataset includes 28884070 records from 9015 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012835-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpd6z3
title: Occurrence Download

description: A dataset containing 1515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-980.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parastromateus niger (Bloch, 1795)"
 ]
}

 The dataset includes 1515 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001018-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/prt6gswb85.1
title: Teste

description: Aula de metodologia cientifica
19-05-205
-
--
--
DOI: 10.17632/dy5dyfygbp.1
title: MELD: A Multilingual Ethnic Dataset of Chakma, Garo, Marma, and Standard Bengali in Bengali Script

description: The MELD dataset (Multilingual Ethnic Language Dataset) is designed to address the severe underrepresentation of ethnic languages in computational linguistics and natural language processing (NLP). It includes transliterated text samples from Chakma, Garo, and Marma, alongside Standard Bengali, collected to reflect real-world use. This dataset provides valuable linguistic insights into low-resource and endangered languages written in the Bengali script.

The data was gathered through a rigorous process of interviews with native speakers, written contributions, and manual transliteration into Bengali alphabets. With 2,230 annotated sentences, it highlights the unique linguistic patterns of ethnic communities who use Bengali script to write their native languages, especially on social media. The dataset is suitable for tasks like language identification, machine translation, and sentiment analysis.

By enabling NLP researchers and linguists to develop tools for language processing, the dataset aims to foster inclusive technology development while promoting cultural preservation. Its applications include building language identification models, creating translation systems, and supporting the study of linguistic diversity. Researchers are encouraged to use MELD for advancing computational research in low-resource and ethnic languages.

Chakma:
---------
Words: 4529 Sentence: 808

Garo:
--------
Words: 1680 Sentence: 314

Marma:
-------------
Words: 1244 Sentence: 292

Standard Bangla:
-------------------
Words: 4380 Sentence: 816
DOI: 10.17632/dy5dyfygbp.2
title: MELD: A Multilingual Ethnic Dataset of Chakma, Garo, Marma, and Standard Bengali in Bengali Script

description: The MELD dataset (Multilingual Ethnic Language Dataset) is designed to address the severe under-representation of ethnic languages in computational linguistics and natural language processing (NLP). It includes transliterated text samples from Chakma, Garo, and Marma, alongside Standard Bengali and English, collected to reflect real-world use. This dataset provides valuable linguistic insights into low-resource and endangered languages written in the Bengali script.

The data was gathered through a rigorous process of interviews with native speakers, written contributions, and manual transliteration into Bengali alphabets. With 3046 annotated sentences, it highlights the unique linguistic patterns of ethnic communities who use Bengali script to write their native languages, especially on social media. The dataset is suitable for tasks like language identification, machine translation, and sentiment analysis.

By enabling NLP researchers and linguists to develop tools for language processing, the dataset aims to foster inclusive technology development while promoting cultural preservation. Its applications include building language identification models, creating translation systems, and supporting the study of linguistic diversity. Researchers are encouraged to use MELD for advancing computational research in low-resource and ethnic languages.

Chakma:
---------
Words: 4529 Sentence: 808

Garo:
--------
Words: 1680 Sentence: 314

Marma:
-------------
Words: 1244 Sentence: 292

Standard Bangla:
-------------------
Words: 4380 Sentence: 816

English
-------------------
Words: 4883 Sentence: 816
DOI: 10.17632/dy5dyfygbp.3
title: MELD: A Multilingual Ethnic Dataset of Chakma, Garo, and Marma in Bengali Script with English and Standard Bengali translation

description: The MELD dataset (Multilingual Ethnic Language Dataset) is designed to address the severe under-representation of ethnic languages in computational linguistics and natural language processing (NLP). It includes transliterated text samples from Chakma, Garo, and Marma, alongside Standard Bengali and English, collected to reflect real-world use. This dataset provides valuable linguistic insights into low-resource and endangered languages written in the Bengali script.

The data was gathered through a rigorous process of interviews with native speakers, written contributions, and manual transliteration into Bengali alphabets. With 3046 annotated sentences, it highlights the unique linguistic patterns of ethnic communities who use Bengali script to write their native languages, especially on social media. The dataset is suitable for tasks like language identification, machine translation, and sentiment analysis.

By enabling NLP researchers and linguists to develop tools for language processing, the dataset aims to foster inclusive technology development while promoting cultural preservation. Its applications include building language identification models, creating translation systems, and supporting the study of linguistic diversity. Researchers are encouraged to use MELD for advancing computational research in low-resource and ethnic languages.

Chakma:
---------
Words: 4529 Sentence: 808

Garo:
--------
Words: 1680 Sentence: 314

Marma:
-------------
Words: 1244 Sentence: 292

Standard Bangla:
-------------------
Words: 4380 Sentence: 816

English
-------------------
Words: 4883 Sentence: 816
DOI: 10.17632/dy5dyfygbp.4
title: MELD: A Multilingual Ethnic Dataset of Chakma, Garo, and Marma in Bengali Script with English and Standard Bengali translation

description: The MELD dataset (Multilingual Ethnic Language Dataset) is designed to address the severe under-representation of ethnic languages in computational linguistics and natural language processing (NLP). It includes transliterated text samples from Chakma, Garo, and Marma, alongside Standard Bengali and English, collected to reflect real-world use. This dataset provides valuable linguistic insights into low-resource and endangered languages written in the Bengali script.

The data was gathered through a rigorous process of interviews with native speakers, written contributions, and manual transliteration into Bengali alphabets. With 3046 annotated sentences, it highlights the unique linguistic patterns of ethnic communities who use Bengali script to write their native languages, especially on social media. The dataset is suitable for tasks like language identification, machine translation, and sentiment analysis.

By enabling NLP researchers and linguists to develop tools for language processing, the dataset aims to foster inclusive technology development while promoting cultural preservation. Its applications include building language identification models, creating translation systems, and supporting the study of linguistic diversity. Researchers are encouraged to use MELD for advancing computational research in low-resource and ethnic languages.

Chakma:
---------
Words: 4529 Sentence: 808

Garo:
--------
Words: 1680 Sentence: 314

Marma:
-------------
Words: 1244 Sentence: 292

Standard Bangla:
-------------------
Words: 4380 Sentence: 816

English
-------------------
Words: 4883 Sentence: 816
DOI: 10.5517/ccdc.csd.cc2j4s7q
title: CCDC 2328293: Experimental Crystal Structure Determination

description: Related Article: Elie Benchimol, Kristina E. Ebbert, Alexandre Walther, Julian J. Holstein, Guido H. Clever|2024|Chem.-Eur.J.|30|e202401850|doi:10.1002/chem.202401850
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.cc2mkk1t
title: CCDC 2429936: Experimental Crystal Structure Determination

description: Related Article: Kosuke Watanabe, Haruki Sugiyama, Yasutomo Segawa|2025|CrystEngComm|27|3552|doi:10.1039/D5CE00289C
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.cc2mkk2v
title: CCDC 2429937: Experimental Crystal Structure Determination

description: Related Article: Kosuke Watanabe, Haruki Sugiyama, Yasutomo Segawa|2025|CrystEngComm|27|3552|doi:10.1039/D5CE00289C
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.cc2mkk3w
title: CCDC 2429938: Experimental Crystal Structure Determination

description: Related Article: Kosuke Watanabe, Haruki Sugiyama, Yasutomo Segawa|2025|CrystEngComm|27|3552|doi:10.1039/D5CE00289C
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.cc2mkk4x
title: CCDC 2429939: Experimental Crystal Structure Determination

description: Related Article: Kosuke Watanabe, Haruki Sugiyama, Yasutomo Segawa|2025|CrystEngComm|27|3552|doi:10.1039/D5CE00289C
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.cc2mkk5y
title: CCDC 2429940: Experimental Crystal Structure Determination

description: Related Article: Kosuke Watanabe, Haruki Sugiyama, Yasutomo Segawa|2025|CrystEngComm|27|3552|doi:10.1039/D5CE00289C
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.cc2mkk6z
title: CCDC 2429941: Experimental Crystal Structure Determination

description: Related Article: Kosuke Watanabe, Haruki Sugiyama, Yasutomo Segawa|2025|CrystEngComm|27|3552|doi:10.1039/D5CE00289C
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.