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

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Deudorix isocrates (Fabricius, 1793)"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009006-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15258928
title: Periodicos brasileiros de turismo, 1990-2018, citacoes recebidas

description: O conjunto de dados contempla os dados de 3.887 artigos publicados em 16 (dezesseis) periódicos brasileiros de turismo, com suas citações (impacto). Toda a coleta e a toda a revisão foram feitas, exclusivamente, de modo manual.

 

Os dados disponibilizados foram obtidos, por meio de processo manual diretamente dos arquivos .PDF; eles podem ser utilizados por outros trabalhos científicos, desde que citem esse repositório.

 

A montagem desse conjunto de dados contou com a participação do Professor Doutor André Fontan Köhler e do Professor Doutor Luciano Antonio Digiampietri. Dados de 10.882 citações recebidas.
DOI: 10.5281/zenodo.15258934
title: General School Frameworks for the 2018–2019 to 2023–2024 school years of México / Marcos Generales de Escuelas de los ciclos escolares 2018 – 2019 a 2023 – 2024

description: "Marcos Generales de Escuelas de los ciclos escolares 2018 – 2019 a 2023 – 2024, organizados en tablas estadísticas que enlistan a los centros educativos del país con datos específicos como su número de estudiantes y docentes, su localización geográfica, el grado de marginación de la localidad en la que se ubican, el tipo de sostenimiento, entre otras variables relevantes de acuerdo con el tipo y nivel educativo, desde el inicial, pasando por preescolar, primaria y secundaria, hasta media superior y superior, según la modalidad y el tipo de servicio. La integración de esta información con base en el listado de escuelas del formato 911, ha permitido a Mejoredu la generación de indicadores y estadísticos educativos, así como la determinación de muestras probabilísticas para la ejecución de las evaluaciones diagnósticas y diversos proyectos que impulsamos. La información disponible también puede ser útil en estudios sobre los diferentes niveles y campos de acción del Sistema Educativo Nacional." (MEJOREDU, 2025)

Originalmente en: https://www.mejoredu.gob.mx/si-mejoredu/marcos-escuelas

General School Frameworks for the 2018–2019 to 2023–2024 school years of Mexico, organized in statistical tables listing the country's educational institutions with specific data such as the number of students and teachers, geographic location, the marginalization level of the locality where they are located, type of funding, among other relevant variables according to the type and level of education—from early childhood education, preschool, primary, and secondary, to upper secondary and higher education—depending on the modality and type of service.

The integration of this information based on the 911 school listing format has enabled Mejoredu to generate educational indicators and statistics, as well as to determine probabilistic samples for the implementation of diagnostic evaluations and various projects we promote. The available information can also be useful for studies on the different levels and areas of action of the National Education System.
DOI: 10.5281/zenodo.15258935
title: General School Frameworks for the 2018–2019 to 2023–2024 school years of México / Marcos Generales de Escuelas de los ciclos escolares 2018 – 2019 a 2023 – 2024

description: "Marcos Generales de Escuelas de los ciclos escolares 2018 – 2019 a 2023 – 2024, organizados en tablas estadísticas que enlistan a los centros educativos del país con datos específicos como su número de estudiantes y docentes, su localización geográfica, el grado de marginación de la localidad en la que se ubican, el tipo de sostenimiento, entre otras variables relevantes de acuerdo con el tipo y nivel educativo, desde el inicial, pasando por preescolar, primaria y secundaria, hasta media superior y superior, según la modalidad y el tipo de servicio. La integración de esta información con base en el listado de escuelas del formato 911, ha permitido a Mejoredu la generación de indicadores y estadísticos educativos, así como la determinación de muestras probabilísticas para la ejecución de las evaluaciones diagnósticas y diversos proyectos que impulsamos. La información disponible también puede ser útil en estudios sobre los diferentes niveles y campos de acción del Sistema Educativo Nacional." (MEJOREDU, 2025)

Originalmente en: https://www.mejoredu.gob.mx/si-mejoredu/marcos-escuelas

General School Frameworks for the 2018–2019 to 2023–2024 school years of Mexico, organized in statistical tables listing the country's educational institutions with specific data such as the number of students and teachers, geographic location, the marginalization level of the locality where they are located, type of funding, among other relevant variables according to the type and level of education—from early childhood education, preschool, primary, and secondary, to upper secondary and higher education—depending on the modality and type of service.

The integration of this information based on the 911 school listing format has enabled Mejoredu to generate educational indicators and statistics, as well as to determine probabilistic samples for the implementation of diagnostic evaluations and various projects we promote. The available information can also be useful for studies on the different levels and areas of action of the National Education System.
DOI: 10.5281/zenodo.12771358
title: ESM-Ezy dataset

description: Added the revised `train_positive.fa` and `train_negative.fa`. You should replace the files `train/train_positive.fa` and `train/train_negative.fa` in the `data.zip` archive with these updated versions.
DOI: 10.5281/zenodo.12771359
title: ESM-Ezy dataset
DOI: 10.5281/zenodo.12776629
title: ESM-Ezy dataset
DOI: 10.5281/zenodo.15258919
title: ESM-Ezy dataset

description: Added the revised `train_positive.fa` and `train_negative.fa`. You should replace the files `train/train_positive.fa` and `train/train_negative.fa` in the `data.zip` archive with these updated versions.
DOI: 10.5281/zenodo.15258938
title: 3D coordinates of tested molecules for "High-Accuracy Physical Property Prediction for Pure Organics via Molecular Representation Learning: Bridging Data to Discovery"

description: The 3D coordinates optimized via PM6 method of tested molecules applied in the article "High-Accuracy Physical Property Prediction for Pure Organics via Molecular Representation Learning: Bridging Data to Discovery".
DOI: 10.5281/zenodo.15258939
title: 3D coordinates of tested molecules for "High-Accuracy Physical Property Prediction for Pure Organics via Molecular Representation Learning: Bridging Data to Discovery"

description: The 3D coordinates optimized via PM6 method of tested molecules applied in the article "High-Accuracy Physical Property Prediction for Pure Organics via Molecular Representation Learning: Bridging Data to Discovery".
DOI: 10.15468/dl.f3tg5w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cryptophlebia leucotreta (Meyrick, 1913)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009007-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4fhy4
title: Occurrence Download

description: A dataset containing 801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ectomyelois ceratoniae Zeller, 1839"
 ]
}

 The dataset includes 801 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009008-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybh5de
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Algeria, Morocco)",
 "TaxonKey is Coccothraustes coccothraustes buvryi Cabanis, 1862"
 ]
}

 The dataset includes 83 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009010-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ah2ku
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sanchytriomycota"
 ]
}

 The dataset includes 263 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009009-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15221947
title: Paleointensities of pottery shards from XJS site, Shenzhen, China, dated to 6,000 years ago

description: This zip file contains data presented in the paper "Low geomagnetic field intensity in southern China 6,000 years ago".
description: The paleointensity experiments followed the Repeated Thellier-Series Experiment (RESET) protocol developed by Wang and Kent (2021). The RESET method includes two rounds of Thellier-Coe experiments (Coe, 1967). In the zip file, the data of the first round of Thellier-Coe experiment is in the "first round_thellier_gui"; while the data of the RESET method, which is organized based on the original NRM remaining in the first round and the tTRM loss in the second round, is in the "reset_gui" file.

Anisotropy of thermal remanent magnetization (ATRM) correction was performed following the method outlined by Veitch (1984). A total thermal remanent magnetization (tTRM) was imparted at 575°C along six directions (±x, ±y, ±z) for specimens that passed the paleointensity selection criteria. Cooling rate correction followed the three-step procedure of Genevey & Gallet (2002): 'fast','slow', and 'fast' cooling.

Paleointensity analyses were conducted using the Thellier Auto Interpreter function build in the Thellier GUI software package (Tauxe et al., 2016; Shaar & Tauxe, 2013).
DOI: 10.5281/zenodo.15221948
title: Paleointensities of pottery shards from XJS site, Shenzhen, China, dated to 6,000 years ago

description: This zip file contains data presented in the paper "Low geomagnetic field intensity in southern China 6,000 years ago".
description: The paleointensity experiments followed the Repeated Thellier-Series Experiment (RESET) protocol developed by Wang and Kent (2021). The RESET method includes two rounds of Thellier-Coe experiments (Coe, 1967). In the zip file, the data of the first round of Thellier-Coe experiment is in the "first round_thellier_gui"; while the data of the RESET method, which is organized based on the original NRM remaining in the first round and the tTRM loss in the second round, is in the "reset_gui" file.

Anisotropy of thermal remanent magnetization (ATRM) correction was performed following the method outlined by Veitch (1984). A total thermal remanent magnetization (tTRM) was imparted at 575°C along six directions (±x, ±y, ±z) for specimens that passed the paleointensity selection criteria. Cooling rate correction followed the three-step procedure of Genevey & Gallet (2002): 'fast','slow', and 'fast' cooling.

Paleointensity analyses were conducted using the Thellier Auto Interpreter function build in the Thellier GUI software package (Tauxe et al., 2016; Shaar & Tauxe, 2013).
DOI: 10.15468/dl.z9maap
title: Occurrence Download

description: A dataset listing the 437902 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 437902 records were derived from 4457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008994-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fjvdb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glaucium golestanicum A.Gran & Sharifnia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229463-230224095556074/datasets/export for details.
DOI: 10.15468/dl.m77asd
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gossypium harknessii Brandegee"
 ]
}

 The dataset includes 356 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313960-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uh7wn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glaucium insigne Popov"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229465-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smtm3z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glaucium mathiolifolium Mobayen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229466-230224095556074/datasets/export for details.
DOI: 10.15468/dl.32w86x
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantas Bosque Seco Chicamocha"
 ]
}

 The dataset includes 431 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313965-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3sbhsm
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinnamomum bejolghota (Buch.-Ham.) Sweet",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 210 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229468-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a444we
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database of European river lamprey (Lampetra fluviatilis (Linnaeus, 1758)) actual samples deposited in the A.N. Severtsov Institute of Ecology and Evolution"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313971-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uygx5p
title: Occurrence Download

description: A dataset containing 57386 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((-96.47862 52.49161, -96.5612 52.48948, -96.64331 52.48382, -96.72453 52.47465, -96.80445 52.46203, -96.88266 52.44601, -96.95876 52.42668, -97.03236 52.40413, -97.1031 52.37849, -97.17062 52.34987, -97.23459 52.31843, -97.29468 52.28433, -97.3506 52.24774, -97.40209 52.20883, -97.44889 52.16781, -97.49079 52.12488, -97.52759 52.08026, -97.55913 52.03417, -97.58526 51.98683, -97.60588 51.93849, -97.62091 51.88937, -97.63028 51.83972, -97.63398 51.78979, -97.63201 51.73981, -97.62439 51.69004, -97.61119 51.64071, -97.59248 51.59205, -97.56839 51.54432, -97.53903 51.49772, -97.50457 51.4525, -97.46519 51.40885, -97.4211 51.367, -97.3725 51.32714, -97.31966 51.28946, -97.26281 51.25413, -97.20225 51.22133, -97.13827 51.1912, -97.07117 51.1639, -97.00126 51.13954, -96.92889 51.11824, -96.85438 51.1001, -96.7781 51.08521, -96.70039 51.07363, -96.62161 51.06542, -96.54213 51.06062, -96.46232 51.05925, -96.38255 51.06131, -96.30318 51.0668, -96.22458 51.07569, -96.14713 51.08793, -96.07117 51.10348, -95.99707 51.12226, -95.92516 51.14418, -95.85579 51.16914, -95.78929 51.19702, -95.72597 51.2277, -95.66613 51.26102, -95.61007 51.29683, -95.55806 51.33497, -95.51035 51.37524, -95.46718 51.41747, -95.42877 51.46145, -95.39532 51.50696, -95.36701 51.55381, -95.34398 51.60175, -95.32638 51.65055, -95.31429 51.69999, -95.3078 51.74983, -95.30696 51.79982, -95.3118 51.84971, -95.32231 51.89927, -95.33846 51.94825, -95.3602 51.99642, -95.38742 52.04352, -95.42003 52.08934, -95.45787 52.13364, -95.50077 52.1762, -95.54853 52.21681, -95.60093 52.25527, -95.65771 52.29138, -95.7186 52.32496, -95.7833 52.35584, -95.85149 52.38387, -95.92284 52.4089, -95.99697 52.43081, -96.07353 52.44949, -96.15211 52.46483, -96.23233 52.47677, -96.31376 52.48524, -96.396 52.49019, -96.47862 52.49161))"
 ]
}

 The dataset includes 57386 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075712-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmx65e
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa willmottiae Hemsl."
 ]
}

 The dataset includes 358 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229472-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r236nr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glaucium elbursium Mory"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229453-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96p584
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glaucium elegans Fisch. & C.A.Mey."
 ]
}

 The dataset includes 261 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229455-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrprmg
title: Occurrence Download

description: A dataset containing 2087082060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2087082060 records from 35439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053578-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.28765826
title: Supplemental Data Set

description: Raw and compiled data. LRMSD and delta_COM values, Cartesian coordinates of all structures, and complete Psi4 output files
DOI: 10.15468/dl.3jx8u4
title: Occurrence Download

description: A dataset containing 4595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Ampelocera Klotzsch"
 ]
}

 The dataset includes 4595 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011315-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.28765826.v1
title: Supplemental Data Set

description: Raw and compiled data. LRMSD and delta_COM values, Cartesian coordinates of all structures, and complete Psi4 output files
DOI: 10.15468/dl.vu52fr
title: Occurrence Download

description: A dataset listing the 12 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.53329 31.60843,-96.03521 31.60843,-96.03521 31.80758,-96.53329 31.80758,-96.53329 31.60843))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anura"
 ]
}

 The dataset's 12 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004689-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/205d29e8-88c3-4ba0-ada9-80de95b45a58
title: EMmerNet deep learning model for ColabScale

description: Tensorflow model for local map optimisation in ColabScale. The model allows context-inclusive cryoEM map optimisation mimicking the physics-informed map optimisation procedures in LocScale-2.0. It has been trained on publicly available cryoEM volumes obtained from the Electron Microscopy Data Bank (EMDB).
DOI: 10.4121/205d29e8-88c3-4ba0-ada9-80de95b45a58.v1
title: EMmerNet deep learning model for ColabScale

description: Tensorflow model for local map optimisation in ColabScale. The model allows context-inclusive cryoEM map optimisation mimicking the physics-informed map optimisation procedures in LocScale-2.0. It has been trained on publicly available cryoEM volumes obtained from the Electron Microscopy Data Bank (EMDB).
DOI: 10.6084/m9.figshare.29163815
title: Data linked to the manuscript 'Bio-geomorphologic effects on blue carbon accumulation in mangrove sediments'

description: This dataset combines the data used to generate figures in the manuscript 'Bio-geomorphologic effects on blue carbon accumulation in mangrove sediments'.
DOI: 10.15468/dl.5vffru
title: Occurrence Download

description: A dataset containing 23472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.47874 3.64344,-73.0646 3.64344,-73.0646 4.03805,-73.47874 4.03805,-73.47874 3.64344))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 23472 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010013-250515123054153/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.29856926
title: Reference Data

description: This dataset supported research that challenges longstanding assumptions in spatial accessibility modeling by integrating large-scale human mobility data.