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

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "TaxonKey is Paraserianthes lophantha (Willd.) I.C.Nielsen"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207890-210914110416597/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.28270763
title: Transforming Education through AI and Technology: Bridging the Gaps and Enhancing Learning

description: This article explores the transformative potential of technology in Bangladesh’s education system, focusing on its role in enhancing learning outcomes, teaching practices, and access to education. It highlights the challenges and barriers to the integration of digital tools, including limited access to technology, financial constraints, inadequate infrastructure, and socio-cultural factors such as gender bias. The article also examines the critical role of stakeholders—including the government, NGOs, and families—in fostering an environment that supports the adoption of technology in education. By addressing these challenges and providing actionable recommendations, the article aims to contribute to more inclusive and equitable educational opportunities for students, particularly in rural and underserved areas.
DOI: 10.21410/7e4/suqkm3/e1fnhj
title: Gouvernements_5ème_2.zip

description: :unav
DOI: 10.15468/dl.tf83qd
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phyllostachys parvifolia C.D.Chu & H.Y.Chou"
 ]
}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000981-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d52h4x
title: Occurrence Download

description: A dataset containing 4485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sarcandra glabra (Thunb.) Nakai"
 ]
}

 The dataset includes 4485 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000983-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkukah
title: Occurrence Download

description: A dataset containing 1052 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spodoptera eridania Stoll"
 ]
}

 The dataset includes 1052 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000985-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10571550
title: Coffee Sales
DOI: 10.15468/dl.mdemgz
title: Occurrence Download

description: A dataset containing 7843 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calophyllum brasiliense Cambess."
 ]
}

 The dataset includes 7843 records from 395 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000988-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/6793a9d73ea58
title: CPR Data request - Off  Scarborough - 24/01/2025

description: All CPR samples.
From January 1990 to December 2021.
From 53 to 55 North, and -7 to -2 East.
All taxa (category 1 and 2) for large zooplankton (23), small zooplankton (40) and phytoplankton (82). Phytoplankton Colour Index (PCI)
See guidelines in the archive.
DOI: 10.15468/dl.ry3q3x
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calophyllum sil Lauterb."
 ]
}

 The dataset includes 753 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000989-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kc89ew
title: Occurrence Download

description: A dataset containing 7960 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia sinensis (L.) Kuntze"
 ]
}

 The dataset includes 7960 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000990-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/12b7v6
title: Supplementary.S3.Pictures.GIS.Land.Use.Hedgerows.Rural.and.PeriUrban.1946.1989.2000.2019.pdf

description: This file presents orthophotographies with the distribution of hedgerows (orange color) for the two sites (rural and peri-urban) and four years (1946, 1989, 2009, 2019). QGIS was used to generate these pictures.
DOI: 10.57745/1rhcaf
title: Supplementary.S3.QGIS.data.full.zip

description: Title: Necessary files to perform the QGIS analysis of the hedgerow network for the two sites (rural = La Sauvetat, peri-urban = Veyre-Monton) for years 1946, 1989, 2000, 2019, nearby Clermont-Ferrand metropolis. This compress file contains the aerial orthophotographs (tiff file, resolution: 0.2m per pixel), the QGIS layers of the land-use, of the hedgerow network, and the typology of hedgerows. Aerial orthophoto for year 2000 could not be shared and can be downloaded by following the link to the original data source: 

https://ids.craig.fr/datahub/dataset/0008b161-9db6-4694-8b4e-3e0ea4fdb934
DOI: 10.57745/3tpfbb
title: Supplementary.S2.Methodological.Implementation.Case.Study.pdf

description: Details of the methodological implementation for the SES case studies in the French Auvergne Region
DOI: 10.57745/aobd5s
title: Supplementary.S2.Methodological.Implementation.Case.Study.pdf

description: Details of the methodological implementation for the SES case studies in the French Auvergne Region
DOI: 10.57745/ayfdzx
title: Supplementary.S2.Methodological.Implementation.Case.Study.pdf

description: Details of the methodological implementation for the SES case studies in the French Auvergne Region
DOI: 10.57745/e9dwjl
title: Supplementary.S4.Octave.Matlab.Code.Model.2024.11.27.zip

description: Temporary anonymous repository to access the Octave / Matlab code that can be used to reproduce the results of this study
DOI: 10.57745/intnrx
title: Supplementary.S1.SESF.Analysis.Study.Site.zip

description: This compressed file contains: (1) A spreadsheet Presenting the details of the 4th tier SESF analysis, 

(2) A pdf file of the semi-structured interview guide that was used to obtain some of the SES variables. The unstructured part of the interviews contained identifiable personal information and thus was removed. It can be shared on demand only for actors who sign a sharing-consent agreement.

(3) A pdf file in French language of the original M.S. report presenting elements of social-ecological analysis of the study site that was conducted during 2021. It includes the analysis of local and regional gray literature and anonymized interviews with some local stakeholders. This data represent one of the source of information for performing the socio-ecological system (SES) framework analysis across the two sites under investigation. The analysis of stakeholders encompassed both qualitative and quantitative data, facilitating an examination of their capacity to identify various types of hedgerows, their relationships with these features, preferences regarding ecosystem services associated with hedgerows, and their inclinations toward different governance arrangements and developmental trajectories. Details regarding the survey methodology and utilized documents are provided within the document. The Author of the report is Elise Krief, M.S.
DOI: 10.57745/jmgvuf
title: Supplementary.S2.Methodological.Implementation.Case.Study.pdf

description: Details of the methodological implementation for the SES case studies in the French Auvergne Region
DOI: 10.57745/kyt3kx
title: Supplementary.S2.Methodological.Implementation.Case.Study.pdf

description: Details of the methodological implementation for the SES case studies in the French Auvergne Region
DOI: 10.57745/riz76k
title: Supplementary.S3.Hedgerows.Geo.Phys.Ecol.data.Peri.Urban.and.Rural.1989.2000.2019.xlsx

description: Spreadsheet Summary of GIS Information for Hedgerows Across the peri-urban study site (city of Veyre Monton). 

The spreadsheet provides a comprehensive summary for each hedgerow located within the study site of (1) Geographic Information System (GIS) attributes, (2) the physical attributes,and (3) the ecological attributes from the survey conducted in summer 2021. The GIS attributes are GPS coordinates, identification (ID), and hedgerow typology for the years 1989, 2000, and 2019. The physical attributes of every hedgerow encompass various features including size, height, length, adjacent habitats, presence of embankments, stone walls, ditches, and number of plant layers. Ecological attributes encompass a range of factors such as the number of plant species, plant pollinating species, fruit species, living wood biomass, snag number, and deadwood biomass. These metrics offer crucial information about the biodiversity and some ecosystem services characterizing the hedgerows. The data compiled in this spreadsheet serves as a valuable resource for analyzing the ecological dynamics and conservation status of hedgerows in the study area, facilitating informed decision-making and management strategies for their preservation and enhancement. This information also served as the foundation for analyzing the annual probability of transition between various combinations of hedgerow types, which include hedgerows that were tall species-rich, short species-rich, tall species-poor, short species-poor, and none. It is noteworthy that the hedgerow data from the 1946 aerial photography was exclusively utilized to estimate hedgerow density. Due to the limited visual quality, determining the exact hedgerow type was not feasible. However, this data significantly contributes to understanding hedgerow dynamics and transitions over time.
DOI: 10.57745/xntxbu
title: Supplementary.S5.Results.pdf

description: Supplementary file presenting results on tall and short hedgerows (Figures S9 and S10) associated with Figures 9 and 10. It also presents archetypal results for the nine pathways where the CCA and KCA have been fixed and do not change during 80 years.
DOI: 10.3886/e215962
title: College or Career Ready, But Not Both? Heterogeneity of Career and Technical Education (CTE) Programs and Income-Based Inequality in Access and Participation

description: <b>Abstract: </b>Career and technical education (CTE) programs aim to prepare students for college and careers in a wide range of occupations and industries. However, it is necessary to examine how existing inequalities in the K-12 education system structure access to and participation in different types of CTE. Using a non-parametric clustering approach to categorize CTE programs, I demonstrate that CTE can be reduced to two types – career-focused or college-focused. These two types of CTE offer participants divergent postsecondary opportunities. I then use regression analyses to show that there is a positive association between school district income level and access to college-focused CTE, but inequality in access shapes inequality in participation. However, school districts are similarly likely to offer career-focused CTE, but students in higher-income districts are less likely to participate. These findings highlight how income inequality between school districts influences CTE access and participation. <br><br>
DOI: 10.3886/e215962v1
title: College or Career Ready, But Not Both? Heterogeneity of Career and Technical Education (CTE) Programs and Income-Based Inequality in Access and Participation

description: <b>Abstract: </b>Career and technical education (CTE) programs aim to prepare students for college and careers in a wide range of occupations and industries. However, it is necessary to examine how existing inequalities in the K-12 education system structure access to and participation in different types of CTE. Using a non-parametric clustering approach to categorize CTE programs, I demonstrate that CTE can be reduced to two types – career-focused or college-focused. These two types of CTE offer participants divergent postsecondary opportunities. I then use regression analyses to show that there is a positive association between school district income level and access to college-focused CTE, but inequality in access shapes inequality in participation. However, school districts are similarly likely to offer career-focused CTE, but students in higher-income districts are less likely to participate. These findings highlight how income inequality between school districts influences CTE access and participation. <br><br>
DOI: 10.15468/dl.b6eypf
title: Occurrence Download

description: A dataset containing 446896141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2020-2025"
 ]
}

 The dataset includes 446896141 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000931-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c48y6
title: Occurrence Download

description: A dataset containing 22338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Equisetum hyemale L."
 ]
}

 The dataset includes 22338 records from 583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000987-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyqtge
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Living Specimen",
 "TaxonKey is Shorea contorta S.Vidal"
 ]
}

 The dataset includes 69 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257655-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83hnmr
title: Occurrence Download

description: A dataset containing 1461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camptotheca acuminata Decne."
 ]
}

 The dataset includes 1461 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000991-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqvkhj
title: Occurrence Download

description: A dataset containing 5507 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carapa guianensis Aubl."
 ]
}

 The dataset includes 5507 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000992-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyu8h5
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 90fd6680-349f-11d8-aa2d-b8a03c50a862",
 "TaxonKey is Octoblepharum albidum Hedw.",
 "Year 1979-1984"
 ]
}

 The dataset includes 115 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006550-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17767025
title: FENGSHUN AI-based forecasts initiated between 1 and 25 July 2025

description: The “FENGSHUN” S2S AI-based forecasting system, released by the China Meteorological Administration, establishes an efficient spatiotemporal modeling framework by integrating a Cascaded Swin Transformer into a U-shaped network, using moving-window attention to capture multi-scale dependencies for high-resolution S2S forecasting. To address climate prediction uncertainty, the system incorporates an intelligent perturbation module that jointly optimizes Kullback-Leibler divergence and the L1 loss function to learn low-rank Gaussian parameters, enabling the generation of ensemble forecasts that effectively mitigate autoregressive error accumulation.

This dataset includes the "FENGSHUN" outputs of global rainfall amount initiated between 1 and 25 July 2025.

Data structure (take Z_NAFP_C_BAQH_20250701000000_P_FENGSHUN-PR-GLB-SURF-20250701-060 for instance):

netcdf Z_NAFP_C_BAQH_20250701000000_P_FENGSHUN-PR-GLB-SURF-20250701-060 {

dimensions:

time = UNLIMITED ; // (60 currently)

lev = 100 ;

lat = 121 ;

lon = 240 ;

variables:

double time(time) ;

time:long_name = "Time" ;

time:units = "days since 2025-06-30 12:00:00" ;

float lev(lev) ;

lev:long_name = "Ensemble" ;

float lat(lat) ;

lat:long_name = "Latitude" ;

lat:units = "degrees_north" ;

float lon(lon) ;

lon:long_name = "Longitude" ;

lon:units = "degrees_east" ;

float tp(time, lev, lat, lon) ;

tp:units = "mm/h" ;

tp:long_name = "tp" ;

tp:standard_name = "Total Precipitation" ;

 

// global attributes:

:description = "Fengshun AI model tp Product" ;

:creator = "Fengshun AI model Development Team @CMA." ;

}
DOI: 10.18150/o4fdub
title: Macro Risks and Their Impact on Insurer Stock Prices: Analyzing Climate, Geopolitical, and Cybersecurity Risks

description: Zbiór danych zawiera dzienne obserwacje cen akcji spółek ubezpieczeniowych z Unii Europejskiej, Wielkiej Brytanii i Stanów Zjednoczonych, z podziałem na sektor ubezpieczeń życiowych (LF) oraz majątkowych (NF).Dodatkowo opracowano trzy wskaźniki odzwierciedlające ekspozycję sektora ubezpieczeniowego na ryzyka systemowe o charakterze nietradycyjnym:Climate Risk Index (CRI) – kompozytowy indeks łączący ryzyka fizyczne i transformacyjne związane ze zmianami klimatu, wyznaczany na podstawie analizy tekstowej artykułów Reuters oraz wskaźnika Climate Policy Uncertainty (CPU),Geopolitical Risk Index (GRI) – zmodyfikowany indeks geopolityczny Caldary i Iacoviello (2022), uśredniony w 7-dniowym oknie i przeskalowany dla porównywalności,Cyber Risk Index (HRI) – oparty na indeksie Nasdaq CTA Cybersecurity, zbudowany z kwadratowych logarytmicznych stóp zwrotu, które odzwierciedlają wrażliwość inwestorów na ryzyko cybernetyczne.Wszystkie szeregi czasowe zostały znormalizowane w celu zapewnienia porównywalności i obejmują okres od stycznia 2005 r. do maja 2024 r. Dane umożliwiają analizę wpływu ryzyk klimatycznych, geopolitycznych i cybernetycznych na wyceny spółek ubezpieczeniowych w ujęciu międzynarodowym.
DOI: 10.15468/dl.g3ma92
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Acer campestre, Acer platanoides, Acer pseudoplatanus, Achillea millefolium, Aesculus hippocastanum, Agrimonia eupatoria, Agrostis stolonifera, Aira caryophyllea, Aira praecox, Ajuga reptans, Alisma plantago-aquatica, Alliaria petiolata, Allium ursinum, Alnus glutinosa, Alopecurus pratensis, Anagallis arvensis, Anemone nemorosa, Angelica sylvestris, Anthoxanthum odoratum, Anthriscus sylvestris, Aquilegia vulgaris, Arabidopsis thaliana, Artemisia vulgaris, Arum maculatum, Asplenium trichomanes, Athyrium filix-femina, Atriplex patula, Barbarea vulgaris, Bellis perennis, Betula pendula, Betula pubescens, Brachypodium sylvaticum, Bromus ramosus, Callitriche stagnalis, Calluna vulgaris, Caltha palustris, Calystegia sepium, Capsella bursa-pastoris, Cardamine amara, Cardamine flexuosa, Cardamine hirsuta, Cardamine pratensis, Carex viridula ssp. oedocarpa, Carex divulsa, Carex flacca, Carex laevigata, Carex nigra, Carex pallescens, Carex pendula, Carex remota)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018937-250914085247600/datasets/export for details.
DOI: 10.15468/dl.6tn58f
title: Occurrence Download

description: A dataset containing 48978137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Magnoliopsida",
 "Year 2020-2025"
 ]
}

 The dataset includes 48978137 records from 2633 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018934-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15264809
title: FlatProt: 2D visualization eases protein structure comparison - Dataset
DOI: 10.5281/zenodo.15697296
title: FlatProt: 2D visualization eases protein structure comparison - Dataset
DOI: 10.15468/dl.fjzwga
title: Occurrence Download

description: A dataset containing 1157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-500.0",
 "Geometry POLYGON((14 38,65 38,65 72,14 72,14 38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carex brizoides L."
 ]
}

 The dataset includes 1157 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057521-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m47z4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelastrum Naegeli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057522-250525065834625/datasets/export for details.