cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13144/lil-1556
title: Enquête Ménages Déplacements (EMC2), Marseille / Métropole Aix-Marseille-Provence - 2020

description: L'Enquête Ménages Déplacements "Marseille / Métropole Aix-Marseille-Provence 2020", réalisée selon la méthodologie nationale élaborée par le CERTU (aujourd'hui CEREMA), est une EMC² (enquête mobilité certifiée Cerema) portant sur la métropole Aix-Marseille-Provence. Ce territoire, composé de 119 communes des Bouches-du-Rhône, 23 du Vaucluse, 22 du Var, 14 des Alpes-de-Haute-Provence et 2 du Gard (pour une population de 2 155 700 habitants), a fait l'objet d'une enquête mixte (face à face ou téléphone).Cette enquête permet de connaître la mobilité, restreinte aux jours ouvrables, des individus (de 5 ans et plus) qui appartiennent à un ménage résidant dans les 180 communes de la zone d'étude. Les 17 510 ménages enquêtés sont caractérisés par leur lieu de résidence et les voitures, 2-3 roues motorisés et vélos à leur disposition. Les 25 530 individus interrogés l'ont principalement été sur leurs caractéristiques socio-démographiques et leur utilisation des modes de transport (individuels et collectifs). Des 84 469 déplacements, on connaît leurs heures et lieux de départ et d'arrivée, leur distance, leur durée, leur motif et le nombre de trajets (en mode mécanisé). Les 63 068 trajets sont décrits par leur mode de transport, les lieux de départ et d'arrivée, le temps de marche à pied au départ et à l'arrivée...4 865 individus ont également donné leur opinion sur la vie locale, les déplacements et les modes de transport.A noter que cette enquête a été réalisée en période de pandémie COVID, et que le terrain s'est donc déroulé en 2 phases, avant et après le confinement.
DOI: 10.15468/dl.9tkxtw
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera tigris altaica Temminck, 1844"
 ]
}

 The dataset includes 243 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026258-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf7qud
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Liparis pauciflora Rolfe"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026259-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4n848b
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.41140435811937",
 "DecimalLongitude is less than 7.41446391130377",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1212 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026260-241007104925546/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.27085585.v1
title: A PRISMA-ScR checklist for the article, The application of exponential random graph models to online learning networks: a scoping review (update)

description: As online education continues to gain traction, it is imperative to investigate how interactions within the learning community contribute to individual competencies. There is a growing challenge to analyze networks to delve into students’ development. As a suite of computational and statistical methods, exponential random graph models (ERGMs) examine intricate network structures based on the relational data within the network. The objective of this scoping review was to provide a comprehensive examination of pertinent research on the analysis of online learning environments using ERGMs, with a focus on identifying methods for analyzing collaboration in the extant literature. The study adhered to the SALSA (Search, Appraisal, Synthesis, and Analysis) protocols. Scopus and ScienceDirect were utilized for the literature exploration, resulting in 10 articles meeting the inclusion and exclusion criteria. Four categories of data extraction schema were adopted: bibliometrics, analysis design, network profile, and network structure. In learning networks, connections were formed around the topic center, which differed from interactions in social networks. The studies were conducted across a range of educational fields. Some learners established connections with their peers in diverse clusters, which led to the formation of small-world networks. The findings help educators understand the landscape of detailed ERGM use and the pedagogical areas that have been explored in online learning studies.
DOI: 10.15468/dl.wf5c6y
title: Occurrence Download

description: A dataset containing 2868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.41446391130377",
 "DecimalLongitude is less than 7.41752346448816",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2868 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026261-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h7kpn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Liparis yuana Ormerod"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026262-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6khcpz
title: Occurrence Download

description: A dataset containing 1610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.41752346448816",
 "DecimalLongitude is less than 7.42058301767256",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1610 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026263-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfvaph
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((0.27096 40.09362,1.50997 40.04836,3.78728 40.33513,3.78728 42.88536,0.28822 42.88536,0.27096 40.09362))",
 "HasGeospatialIssue is false",
 "TaxonKey is Alosa fallax (Lacepède, 1803)"
 ]
}

 The dataset includes 68 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026264-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jehys
title: Occurrence Download

description: A dataset containing 1814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.42058301767256",
 "DecimalLongitude is less than 7.42364257085695",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1814 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026265-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.439gu4
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "OccurrenceStatus is Present",
 "TaxonKey is Leiothrix argentauris (Hodgson, 1837)"
 ]
}

 The dataset includes 119 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026266-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa36nb
title: Occurrence Download

description: A dataset containing 176443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanopica cooki Bonaparte, 1850"
 ]
}

 The dataset includes 176443 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026230-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8wfqm
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amolops ricketti (Boulenger, 1899)",
 "Year 1975-2024"
 ]
}

 The dataset includes 247 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026268-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvpqay
title: Occurrence Download

description: A dataset containing 1797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.42364257085695",
 "DecimalLongitude is less than 7.42670212404135",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1797 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026267-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15470/wlbvov
title: Caracterizaci?n bion?mica de zonas de dragado y de afecci?n de obras en la R?a de Ferrol (2018)

description: La Estaci?n de Biolox?a Mari?a da Gra?a de la Universidad de Santiago de Compostela realiza un estudio de la caracterizaci?n del sedimento y de las
comunidades de organismos localizadas en las proximidades de las zonas afectadas por el proceso constructivo que se llevar? a cabo en la ensenada de Caranza (R?a de Ferrol) por la empresa p?blica NAVANTIA y que formar? parte de la Declaraci?n de Impacto Ambiental solicitada a tal efecto.

Se presentan los resultados de la prospecci?n realizada en 22 estaciones de muestreo infralitorales e intermareales durante el mes de mayo de 2018.
DOI: 10.15470/cyai9c
title: An?lisis taxon?micos de macrofauna bent?nica para el Plan de Vigilancia Ambiental de las instalaciones de prueba de la secci?n 3 de Navantia Cartagena (2019)

description: Datos de macroinvertebrados bent?nicos obtenidos de cuatro puntos de muestreo en la d?rsena de Cartagena.
DOI: 10.15470/5vopsk
title: An?lisis taxon?micos de macrofauna bent?nica para el Plan de Vigilancia Ambiental de la F?brica de Motores de Navantia Cartagena (2019)

description: Datos de macroinvertebrados bent?nicos obtenidos de cinco puntos de muestreo en la d?rsena de Cartagena.
DOI: 10.15470/m58paq
title: An?lisis taxon?micos de macrofauna bent?nica para el Plan de Vigilancia Ambiental en la R?a de Ferrol (2019)

description: An?lisis para el control de organismos en la R?a de Ferrol.
DOI: 10.15470/q5tkys
title: An?lisis taxon?micos de macrofauna bent?nica para el Plan de Vigilancia Ambiental en la R?a de Ferrol (2020)

description: An?lisis para el control de organismos en la R?a de Ferrol.
DOI: 10.15468/dl.cz6s3z
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Dactylorhiza hatagirea (D.Don) Soó"
 ]
}

 The dataset includes 124 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026270-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13958735
title: Data and results for gauging stations from Waterschap Rijn en IJssel
DOI: 10.5281/zenodo.13958736
title: Data and results for gauging stations from Waterschap Rijn en IJssel
DOI: 10.15468/dl.e5nxgf
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Liparis japonica (Miq.) Maxim."
 ]
}

 The dataset includes 254 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026271-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18144/ed3b8175-e849-4f3d-bab8-2fce6049333e
title: Thermoddem version 2020
title: Thermoddem version 2020

description: Version 2020 de la base de données Thermoddem. La base de données comprend plusieurs types de données telles que les produits de solubilité des solides et des gaz dépendants de la température, les constantes de formation de complexes aqueux dépendant de la température, les paramètres de taille des ions et les références de données sources.
description: 2020 release of the Thermoddem database. The database includes several types of data like temperature-dependent solubility products of solids and gases, temperature-dependent formation constants of aqueous complexes, ion size parameters, and source data references.
DOI: 10.15468/dl.7kw32g
title: Occurrence Download

description: A dataset containing 861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus ilex L.)",
 "Country is one of (Spain)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 861 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026272-241007104925546/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.26095537
title: Geospatial Nightlight Dataset for Sub-districts of India

description: Geospatial data have become a valuable asset in the 21st century with its applications in almost everyday life and an overriding scope in the field of research. One such growing spatial data is the remotely sensed nighttime lights (NTL) imagery, which simply is a depiction of human activities around the globe at night. It may be a stunning visual to many yet the valuable insights it provides in measuring a number of parameters like population, poverty, electrification, migration, disaster, health, fishing, fires, GDP, pollution, urbanization, settlement, etc. have made researchers and scientists look up to this data to validate and evaluate socio-economic and other indicators independently and concurrently. Apart from using as a proxy in many researches, NTL allows to track statistics of region where data is often not collected or is not reliable. It has potential applications for policy makers and government in the decision making processes. Nighttime lights were in used since the mid 1990's and are publicly made available from 1992 onwards through the Defense Meteorological Satellite Program (DMSP) provided by National Ocean and Atmospheric Administration (NOAA). A more advance system called Visible Infrared Imaging Radiometer Suite (VIIRS) Day Night band (DNB) replaces DMSP system. The extraction provided uses VIIRS monthly aggregates with spatial polygon units of India at sub-districts level. The monthly raw dataset is available from April 2012 onwards. This extraction cover 141 months till December 2023. The primary intent is to disseminate the dataset to a larger audience, be it researcher or policy analyst and planners. The broader objective is to keep on updating the data continuously.
DOI: 10.34740/kaggle/dsv/9680226
title: ⏳ endoflife.date database (duckdb)
DOI: 10.5281/zenodo.13959271
title: Calculation data sheet
DOI: 10.5281/zenodo.13959272
title: Calculation data sheet
DOI: 10.15468/dl.f72jba
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odorrana graminea (Boulenger, 1900)"
 ]
}

 The dataset includes 460 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026273-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcybzd
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Collection Pisces SMF",
 "Geometry POLYGON((268.85521 -1.11929,270.62157 -1.11929,270.62157 0.43205,268.85521 0.43205,268.85521 -1.11929))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 117 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026274-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13219138
title: Evaluation Results of English / Japanese LLMs Using Swallow-Evaluation ver.202407

description: Evaluation Results of English / Japanese LLMs Using Swallow-Evaluation ver.202407

This dataset is the source material of our observational analysis paper, "Significance and Effectiveness of Training LLM with Japanese Texts [Saito+, 2024]." It includes the evaluation results of 35 LLMs on 19 Japanese and English tasks, using Swallow-evaluation ver.202407.

As part of the Swallow project at Tokyo Institute of Technology, this dataset was developed to enable rigorous and comprehensive comparison of Japanese and English LLMs developed in Japan and worldwide.

Details

Tasks

Evaluation experiments are conducted on LLMs using 10 datasets for Japanese language understanding and generation tasks, and 9 datasets for English language understanding and generation tasks. All evaluation scores are normalized within a range from 0 (lowest) to 1 (highest). Refer to the reference [Saito+, 2024] for the complete list of evaluation tasks and datasets, evaluation metrics, and task configurations.

Environment

The evaluaitons were primarily conducted on A100 nodes (AIST), using Python as the programming language.

Limitation

While efforts were made to evaluate under fair conditions, considering the unique specifications of each LLM (such as tokenization and system prompts), minor differences in evaluation specifics (like prompt formatting and dependence on eval. environment) may cause task evaluation scores to change independently of the LLM’s performance.

Reference

```ここにNL研究会予稿書誌情報を載せる```

License

This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creators

Swallow LLM (GitHub, Official Web Page)
DOI: 10.5281/zenodo.13160661
title: Evaluation Results of English / Japanese LLMs Using Swallow-Evaluation ver.202407

description: Evaluation Results of English / Japanese LLMs Using Swallow-Evaluation ver.202407

This dataset is the source material of our observational analysis paper, "Significance and Effectiveness of Training LLM with Japanese Texts [Saito+, 2024]." It includes the evaluation results of 35 LLMs on 19 Japanese and English tasks, using Swallow-evaluation ver.202407.

As part of the Swallow project at Tokyo Institute of Technology, this dataset was developed to enable rigorous and comprehensive comparison of Japanese and English LLMs developed in Japan and worldwide.

Details

Tasks

Evaluation experiments are conducted on LLMs using 10 datasets for Japanese language understanding and generation tasks, and 9 datasets for English language understanding and generation tasks. All evaluation scores are normalized within a range from 0 (lowest) to 1 (highest). Refer to the reference [Saito+, 2024] for the complete list of evaluation tasks and datasets, evaluation metrics, and task configurations.

Environment

The evaluaitons were primarily conducted on A100 nodes (AIST), using Python as the programming language.

Limitation

While efforts were made to evaluate under fair conditions, considering the unique specifications of each LLM (such as tokenization and system prompts), minor differences in evaluation specifics (like prompt formatting and dependence on eval. environment) may cause task evaluation scores to change independently of the LLM’s performance.

Reference

```ここにNL研究会予稿書誌情報を載せる```

License

This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creators

Swallow LLM (GitHub, Official Web Page)