cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.f45s8
title: Data from: A machine learning method to monitor China’s AIDS epidemics with data from Baidu Trends

description: Background: AIDS victims’ unwillingness to report their disease, due to
 social discrimination against them, makes it hard for disease control
 departments to accurately monitor the disease’s dynamics through
 traditional surveillance tools, such as over-the-counter drug sales and
 hospital or self-reported data. With the diffusion and adoption of the
 Internet, the ‘big data’ aggregated from Internet search engines, which
 contain users’ information on the concern or reality of their health
 status, provide a new opportunity for AIDS surveillance. This paper uses
 search engine data to monitor and forecast AIDS in China. Methods: A
 machine learning method, artificial neural networks (ANNs), is used to
 forecast AIDS occurrences and deaths. Search trend data related to AIDS
 from the largest Chinese search engine, Baidu.com, are collected and
 selected as the input variables of ANNs, and officially reported actual
 AIDS occurrences and deaths are used for the output variable. Three
 criteria, the mean absolute percentage error, the root mean squared
 percentage error, and the index of agreement, are used to test the
 forecasting performance of the ANN method. Results: Based on the monthly
 time-series data from January 2011 to June 2017, this article finds that,
 under three criteria, the ANN method can lead to satisfactory forecasting
 of AIDS occurrences and deaths, regardless of the change of the number of
 search queries. Conclusions: Internet-based data should be adopted as a
 real-time, cost-effective complement to a traditional AIDS surveillance
 system.
description: A Machine Learning
 Method to Monitor China’s AIDS Epidemics with Data from Baidu
 TrendsThe file contains the
 minimal anonymized data set and program necessary to replicate study
 findings of all tables and graphs. And it contains detailed variable
 definitions and guidelines.Data and
 Program.zip
DOI: 10.5061/dryad.rn636
title: Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna

description: Valid fish species identification is an essential step both for
 fundamental science and fisheries management. The traditional
 identification is mainly based on external morphological diagnostic
 characters, leading to inconsistent results in many cases. Here, we
 provide a sequence reference library based on mitochondrial cytochrome c
 oxidase subunit I (COI) for a valid identification of 93 North Atlantic
 fish species originating from the North Sea and adjacent waters, including
 many commercially exploited species. Neighbour-joining analysis based on
 K2P genetic distances formed nonoverlapping clusters for all species with
 a ≥99% bootstrap support each. Identification was successful for 100% of
 the species as the minimum genetic distance to the nearest neighbour
 always exceeded the maximum intraspecific distance. A barcoding gap was
 apparent for the whole data set. Within-species distances ranged from 0 to
 2.35%, while interspecific distances varied between 3.15 and 28.09%.
 Distances between congeners were on average 51-fold higher than those
 within species. The validation of the sequence library by applying BOLDs
 barcode index number (BIN) analysis tool and a ranking system demonstrated
 high taxonomic reliability of the DNA barcodes for 85% of the investigated
 fish species. Thus, the sequence library presented here can be confidently
 used as a benchmark for identification of at least two-thirds of the
 typical fish species recorded for the North Sea.
description: AlignmentBNEAFSequence alignment of 860 fish DNA barcodes
DOI: 10.15468/dl.r35m2t
title: Occurrence Download

description: A dataset containing 7709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Peru, Colombia, Venezuela (Bolivarian Republic of), Ecuador, Bolivia (Plurinational State of), Chile, Argentina, Pakistan, Bhutan, India, Nepal)",
 "TaxonKey is one of (Aedes aegypti, Aedes albopictus)"
 ]
}

 The dataset includes 7709 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000531-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjk37m
title: Occurrence Download

description: A dataset containing 535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus rattus",
 "Year 1950-2026"
 ]
}

 The dataset includes 535 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000523-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccwmjw
title: Occurrence Download

description: A dataset containing 33375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus rattus",
 "Year 1950-2026"
 ]
}

 The dataset includes 33375 records from 302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/7fidsz
title: Dataset on guarana–pea protein conjugates for vitamin D3 emulsions

description: The experimental data include the physicochemical and stability characterization of O/W emulsions produced using pea protein isolate (PPI) conjugated with guarana extract (GE) as stabilizing agents. The dataset comprises measurements of particle size distribution, microstructure, vitamin D3 retention during storage under different conditions, and in vitro bioaccessibility. The study evaluates how the combination of heat treatment and PPI–GE conjugation influences emulsion stability and vitamin D3 protection. This work was supported by the São Paulo Research Foundation – FAPESP through the Thematic Project (grant #2019/27354-3) and BIORE AMAZONIA Project (grant #2022/10347-7).
DOI: 10.15468/dl.w9vjpk
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aethionema arabicum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 97 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000525-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25kvj3
title: Occurrence Download

description: A dataset containing 4692864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4692864 records from 829 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000500-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjz2vz
title: Occurrence Download

description: A dataset containing 14989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wasmannia auropunctata"
 ]
}

 The dataset includes 14989 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000528-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18419695
title: Table 1 in Ituglanis agreste, a new catfish from the rio de Contas basin, northeastern Brazil (Siluriformes: Trichomycteridae)

description: Table 1. Morphometric data of holotype and 17 paratypes of Ituglanis agreste. SD = standard deviation.
HolotypeParatypesRangeMeanSDStandard length (mm)40.532.9-41.938.03.35Percentage of standard lengthBody depth12.411.6-15.113.51.1Caudal peduncle depth10.88.9-11.110.10.9Body width7.56.4-9.37.41.9Caudal peduncle width4.23.7-4.74.70.6Dorsal-fin base length10.98.6-11.810.30.8Anal-fin base length7.36.2-11.68.31.4Pectoral-fin length12.811.0-15.113.51.1Predorsal length69.164.1-73-369.11.9Head length16.915.9-19.617.81.1Percentage of head lengthHead depth77.541.8-77.553.98.4Head width98.783.5-107.993.96.8Interorbital width18.914.4-22.819.72.4Preorbital length32.530.4-39.633.24.5Eye diameter9.88.1-14.59.91.9
description: Published as part of Lima, Sergio M. Q., Neves, Cinara P. & Campos-Paiva, Rafael M., 2013, Ituglanis agreste, a new catfish from the rio de Contas basin, northeastern Brazil (Siluriformes: Trichomycteridae), pp. 516 in Neotropical Ichthyology 11 (3) on page 516, DOI: 10.1590/S1679-62252013000300005, http://zenodo.org/record/12652123
DOI: 10.5281/zenodo.18419696
title: Table 1 in Ituglanis agreste, a new catfish from the rio de Contas basin, northeastern Brazil (Siluriformes: Trichomycteridae)

description: Table 1. Morphometric data of holotype and 17 paratypes of Ituglanis agreste. SD = standard deviation.
HolotypeParatypesRangeMeanSDStandard length (mm)40.532.9-41.938.03.35Percentage of standard lengthBody depth12.411.6-15.113.51.1Caudal peduncle depth10.88.9-11.110.10.9Body width7.56.4-9.37.41.9Caudal peduncle width4.23.7-4.74.70.6Dorsal-fin base length10.98.6-11.810.30.8Anal-fin base length7.36.2-11.68.31.4Pectoral-fin length12.811.0-15.113.51.1Predorsal length69.164.1-73-369.11.9Head length16.915.9-19.617.81.1Percentage of head lengthHead depth77.541.8-77.553.98.4Head width98.783.5-107.993.96.8Interorbital width18.914.4-22.819.72.4Preorbital length32.530.4-39.633.24.5Eye diameter9.88.1-14.59.91.9
description: Published as part of Lima, Sergio M. Q., Neves, Cinara P. & Campos-Paiva, Rafael M., 2013, Ituglanis agreste, a new catfish from the rio de Contas basin, northeastern Brazil (Siluriformes: Trichomycteridae), pp. 516 in Neotropical Ichthyology 11 (3) on page 516, DOI: 10.1590/S1679-62252013000300005, http://zenodo.org/record/12652123
DOI: 10.5281/zenodo.18419776
title: From Summer Water-Vapor Buildup to Fall Torrential Rains: Evidence of a Recirculation Cell in the Western Mediterranean

description: # Analysis of Extreme Precipitation & Recirculation in the Western Mediterranean

This repository contains the source code and processed data to reproduce the analysis presented in the research paper:

**"From Summer Water-Vapor Buildup to Fall Torrential Rains: Evidence of a Recirculation Cell in the Western Mediterranean"**

*Submitted to JGR: Atmospheres (2026)*

**Authors:** EDUARDO A. AGOSTA, M.J. ESTRELA, D. CORELL & J. MIRÓ

## 📂 Repository Contents

This repository is structured to ensure reproducibility of the secular trend analysis and the "Recharge-Discharge" mechanism described in the paper.

* `Analysis_Main_Script.m`: The main MATLAB script. It loads the physical data, calculates the indices (ZCI, Rec, Rp99), performs the Mann-Kendall trend analysis, and generates the key figures.* `Mediterranean_JGR_Data_Raw.mat`: Contains the spatially averaged time series (1950-2024) derived from ERA5 Reanalysis and AEMET precipitation data.
DOI: 10.5281/zenodo.18419775
title: From Summer Water-Vapor Buildup to Fall Torrential Rains: Evidence of a Recirculation Cell in the Western Mediterranean

description: # Analysis of Extreme Precipitation & Recirculation in the Western Mediterranean

This repository contains the source code and processed data to reproduce the analysis presented in the research paper:

**"From Summer Water-Vapor Buildup to Fall Torrential Rains: Evidence of a Recirculation Cell in the Western Mediterranean"**

*Submitted to JGR: Atmospheres (2026)*

**Authors:** EDUARDO A. AGOSTA, M.J. ESTRELA, D. CORELL & J. MIRÓ

## 📂 Repository Contents

This repository is structured to ensure reproducibility of the secular trend analysis and the "Recharge-Discharge" mechanism described in the paper.

* `Analysis_Main_Script.m`: The main MATLAB script. It loads the physical data, calculates the indices (ZCI, Rec, Rp99), performs the Mann-Kendall trend analysis, and generates the key figures.* `Mediterranean_JGR_Data_Raw.mat`: Contains the spatially averaged time series (1950-2024) derived from ERA5 Reanalysis and AEMET precipitation data.
DOI: 10.15468/dl.zep8qb
title: Occurrence Download

description: A dataset containing 5276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Spain",
 "DatasetKey is Observation.org, Nature data from around the World",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neovison vison",
 "Year 2012-2026"
 ]
}

 The dataset includes 5276 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000529-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xbc3a
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GbifRegion is Latin America and the Caribbean",
 "Geometry POLYGON Z((-43.91964 -7.66822 0,-43.79291 -7.52691 0,-43.60719 -7.34717 0,-43.5185 -7.20487 0,-43.39092 -7.1291 0,-43.21692 -7.02343 0,-43.09802 -6.96608 0,-43.00919 -6.85272 0,-42.91527 -6.87042 0,-42.85949 -6.79195 0,-42.85908 -6.72831 0,-42.80628 -6.68553 0,-42.74686 -6.64535 0,-42.71658 -6.52568 0,-42.72644 -6.34499 0,-42.68209 -6.30843 0,-42.61377 -6.25741 0,-42.61103 -6.16735 0,-42.61937 -6.0465 0,-42.60809 -5.9911 0,-42.55078 -5.9477 0,-42.54804 -5.94388 0,-42.54253 -5.93812 0,-42.50219 -5.852 0,-42.50224 -5.85013 0,-42.50143 -5.84449 0,-42.50156 -5.83888 0,-42.51426 -5.74001 0,-42.51525 -5.73817 0,-42.51726 -5.73259 0,-42.57149 -5.70656 0,-42.63944 -5.73455 0,-42.69186 -5.78166 0,-42.75695 -5.89412 0,-42.80258 -6.05079 0,-42.789 -6.1663 0,-42.8703 -6.19575 0,-42.90123 -6.25483 0,-42.9002 -6.25669 0,-42.85263 -6.36127 0,-42.86364 -6.49851 0,-42.96317 -6.63853 0,-43.10842 -6.75431 0,-43.21145 -6.84205 0,-43.28421 -6.90373 0,-43.43817 -6.96416 0,-43.53731 -7.05349 0,-43.62693 -7.10414 0,-43.62968 -7.10795 0,-43.6306 -7.10891 0,-43.73408 -7.24061 0,-43.77981 -7.2917 0,-43.87834 -7.39187 0,-43.97877 -7.48536 0,-44.02337 -7.57448 0,-43.98865 -7.6494 0,-43.91964 -7.66822 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000530-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18415223
title: SuperDARN data in netCDF format (2007-Oct)

description: 2007-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6591919
title: SuperDARN data in netCDF format (2007-Oct)

description: 2007-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.rkv49c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tenuiproboscis bilqeesae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000533-260129131611470/datasets/export for details.
DOI: 10.15468/dl.v2h3p3
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is February",
 "OccurrenceStatus is Present",
 "TaxonKey is Uncia uncia",
 "Year 2025-2025"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000534-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/g7the5
title: Hyphessobrycon uaiso: new characid fish from the rio Grande, upper rio Paraná basin, Minas Gerais State (Ostariophysi: Characidae), with a brief comment about some types of Hyphessobrycon

description: This dataset contains the digitized treatments in Plazi based on the original journal article Carvalho, Fernando R., Langeani, Francisco (2013): Hyphessobrycon uaiso: new characid fish from the rio Grande, upper rio Paraná basin, Minas Gerais State (Ostariophysi: Characidae), with a brief comment about some types of Hyphessobrycon. Neotropical Ichthyology 11 (3): 525-536, DOI: 10.1590/S1679-62252013000300006, URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252013000300525&lng=en&tlng=enHyphessobrycon uaiso is described from the upper rio Paraná basin, rio Grande drainage, Minas Gerais State. The new species differs from its congeners by the short anal fin with 12-17 branched rays, and dorsal fin with ii, 7-8 rays. Besides, it can be distinguished by the presence of i, 5-6 pelvic fin rays, and by the coloration of the eyes (in life), slightly blue on the lower half and blackish on the upper half. New records of Hyphessobrycon are recognized for the upper rio Paraná basin: H. eilyos Lima & Moreira, H. guarani Mahnert & Géry, and H. herbertaxelrodi Géry. The knowledge status about the ichthyofauna from the upper rio Paraná basin and comments about the type material of some species of Hyphessobrycon are briefly discussed.Hyphessobrycon uaiso é descrito da bacia do alto rio Paraná, drenagem do rio Grande, Minas Gerais. A espécie nova difere de seus congêneres por apresentar nadadeira anal curta, com 12-17 raios ramificados, e nadadeira dorsal com ii, 7-8 raios.Além disso, a espécie nova pode ser distinguida pelo número de raios da nadadeira pélvica, com i, 5-6 e padrão de colorido do olho (quando vivo), levemente azulado na parte inferior e escurecido na parte superior. Ocorrências novas de Hyphessobrycon são registradas para a bacia do alto rio Paraná: H. eilyos Lima & Moreira, H. guarani Mahnert & Géry e H. herbertaxelrodi Géry. O estado da arte da ictiofauna da bacia do alto rio Paraná e comentários sobre alguns exemplares-tipo de Hyphessobrycon são discutidos brevemente.
DOI: 10.15468/dl.zrrzzb
title: Occurrence Download

description: A dataset containing 5963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhizophora mangle",
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
}

 The dataset includes 5963 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000538-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2cxnzy
title: CCDC 2202301: Experimental Crystal Structure Determination

description: Related Article: Ganeshkumar Palanisami, Theivarasu Chinniagounder|2026|J.Mol.Struct.|1359||doi:10.1016/j.molstruc.2026.145383
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.cc2dyhlg
title: CCDC 2232886: Experimental Crystal Structure Determination

description: Related Article: A. M. Khabibrakhmanova, E. S. Rabbanieva, D. P. Gerasimova, O. A. Lodochnikova, L. Z. Latypova, A.  R. Kurbangalieva|2023|Uch. Zap. Kazan. Univ., Ser. Estestv. Nauki|165|133|doi:10.26907/2542-064X.2023.1.133-148
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.cc2ddj8m
title: CCDC 2216570: Experimental Crystal Structure Determination

description: Related Article: Long-He Li, Hai-Quan Yao, Shi-Yong Zhang, Yan Peng, Sui-Jun Liu, He-Rui Wen, You Song, Heng-Yun Ye, Jinlei Zhang, Zhao-Bo Hu|2023|Chem.-Eur.J.|29|e202300598|doi:10.1002/chem.202300598
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.