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

description: A dataset containing 372325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elymus repens (L.) Gould"
 ]
}

 The dataset includes 372325 records from 706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011302-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drq5b4
title: Occurrence Download

description: A dataset containing 860 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Levantamientos de vegetación en la orinoquia colombiana"
 ]
}

 The dataset includes 860 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017041-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqsf7q
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Saussurea costus (Falc.) Lipsch."
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017043-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14619109
title: Canopy height map in China - 2019 part 3

description: This is data generated in the paper, "Substantial contribution of trees outside forests to above-ground carbon across China".

 

Authors

Yang Su a, b, c, Tianqi Shi b, Xianglin Zhang c, d, Yidi Xu b, Kai Cheng e,f, Siyu Liu g, Ge Han h, i, Xin Ma j, Songchao Chen d, k, Xiaowei Tong l, Wei Li m, Wei Gong j, n, o, Qinghua Guo e, f, Martin Brandt g, Shilong Piao p, q, Alexandre d'Aspremont a , Philippe Ciais b

 

Affiliations

a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France

b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France

c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France

d College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China

e Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, 100871 Beijing, China

f Institute of Ecology, College of Urban and Environmental Sciences, Peking University, 100871 Beijing, China

g Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

h Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

i Perception and Effectiveness Assessment for Carbon‐neutrality Efforts, Engineering Research Center of Ministry of Education, Institute for Carbon Neutrality, Wuhan University, Wuhan, China

j State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

k ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China

l Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China.

m Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China

n Electronic Information School, Wuhan University, Wuhan, China

o Wuhan Institute of Quantum Technology, Wuhan, China

p State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China

q Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China

 

Corresponding Author

Yang Su

yang.su@ens.fr

+33 1 89 10 07 67

École Normale Supérieure – PSL

 

To use the data, please cite this paper or contact the corresponding author for more details.

 

Funding

Artificial Intelligence for forest monitoring from space – AI4Forests

Agence Nationale de la Recherche

Find out more...
DOI: 10.5281/zenodo.14619110
title: Canopy height map in China - 2019 part 3

description: This is data generated in the paper, "Substantial contribution of trees outside forests to above-ground carbon across China".

 

Authors

Yang Su a, b, c, Tianqi Shi b, Xianglin Zhang c, d, Yidi Xu b, Kai Cheng e,f, Siyu Liu g, Ge Han h, i, Xin Ma j, Songchao Chen d, k, Xiaowei Tong l, Wei Li m, Wei Gong j, n, o, Qinghua Guo e, f, Martin Brandt g, Shilong Piao p, q, Alexandre d'Aspremont a , Philippe Ciais b

 

Affiliations

a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France

b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France

c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France

d College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China

e Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, 100871 Beijing, China

f Institute of Ecology, College of Urban and Environmental Sciences, Peking University, 100871 Beijing, China

g Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

h Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

i Perception and Effectiveness Assessment for Carbon‐neutrality Efforts, Engineering Research Center of Ministry of Education, Institute for Carbon Neutrality, Wuhan University, Wuhan, China

j State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

k ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China

l Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China.

m Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China

n Electronic Information School, Wuhan University, Wuhan, China

o Wuhan Institute of Quantum Technology, Wuhan, China

p State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China

q Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China

 

Corresponding Author

Yang Su

yang.su@ens.fr

+33 1 89 10 07 67

École Normale Supérieure – PSL

 

To use the data, please cite this paper or contact the corresponding author for more details.

 

Funding

Artificial Intelligence for forest monitoring from space – AI4Forests

Agence Nationale de la Recherche

Find out more...
DOI: 10.5281/zenodo.15051994
title: cif file and charge density file of MoS2

description: a cif file and charge density file of MoS2 calculated from ABACUS
DOI: 10.5281/zenodo.15051995
title: cif file and charge density file of MoS2

description: a cif file and charge density file of MoS2 calculated from ABACUS
DOI: 10.5281/zenodo.15051976
title: literature Review of Advancing Indonesia's Green Infrastructure Journey: Examining Public-Private Partnership in Water Management Through the Lens of Susan Strange's Financial Structure Theory

description: This data is used in the following research abstrac:

"This study examines PPPs for Indonesia's green water infrastructure, using Strange's theory and comparing with Japan/Thailand. It highlights the need to align finance with environmental goals for urban resilience and water quality. Effective collaboration and policy integration are crucial for SDGs. Future research should assess long-term impacts".
DOI: 10.5281/zenodo.15051977
title: literature Review of Advancing Indonesia's Green Infrastructure Journey: Examining Public-Private Partnership in Water Management Through the Lens of Susan Strange's Financial Structure Theory

description: This data is used in the following research abstrac:

"This study examines PPPs for Indonesia's green water infrastructure, using Strange's theory and comparing with Japan/Thailand. It highlights the need to align finance with environmental goals for urban resilience and water quality. Effective collaboration and policy integration are crucial for SDGs. Future research should assess long-term impacts".
DOI: 10.5281/zenodo.15040137
title: Dataset for "Interpretable machine-learning enhanced parametriza- tion methodology for Pluronics-Water Mixtures in DPD simulations"
DOI: 10.5281/zenodo.15040138
title: Dataset for "Interpretable machine-learning enhanced parametriza- tion methodology for Pluronics-Water Mixtures in DPD simulations"
DOI: 10.5281/zenodo.15052016
title: Posidonia oceanica meadows (1120) Poros island

description: This layer has derived from a habitat classification using satelite imagery and ground truthing data, in the context of "Reposidonia: Mapping Posidonia meadows in Poros island and Methana peninsula" project. The project was implemented by iSea and funded by the Argolic Environment Foundation and Rauch Foundation with the support of Katheti. The mapping was produced in collaboration with terraSolutions mer.
DOI: 10.5281/zenodo.15052017
title: Posidonia oceanica meadows (1120) Poros island

description: This layer has derived from a habitat classification using satelite imagery and ground truthing data, in the context of "Reposidonia: Mapping Posidonia meadows in Poros island and Methana peninsula" project. The project was implemented by iSea and funded by the Argolic Environment Foundation and Rauch Foundation with the support of Katheti. The mapping was produced in collaboration with terraSolutions mer.
DOI: 10.5281/zenodo.14396478
title: Ulkenia visurgensis Lng2 de novo transcriptome assembly and functional annotation

description: Compendium of python codes and intermediary files in the de novo transcriptome assembly and functional annotation for the thraustochytrid strain Ulkenia visurgensis Lng2
DOI: 10.5281/zenodo.14396477
title: Ulkenia visurgensis Lng2 de novo transcriptome assembly and functional annotation

description: De novo assembled transcriptome of the Chilean thraustochytrid strain Ulkenia visurgensis Lng2. The transcriptome was assembled using sequencing data obtained with a NovaSeq 6000 System (Illumina, Inc.) with 150 bp paired end reads (2x150) length and 20 million reads. Raw reads corresponding to nine sequenced RNA samples, were cleaned to remove low-quality sequences and adapter contaminants using Trimmomatic version 0.39. Bases were cut off at the end or start of a read (trailing and leading, respectively), if below a threshold quality of 3. The cleaned reads were assembled into a full transcriptome using the Trinity assembler version 2.15.1. A Compendium of python codes and intermediary files in the de novo transcriptome assembly and a functional annotation for this are also provided. The functional annotation comprises a GO, KEGG and Homology-based annotations.
DOI: 10.5281/zenodo.15052036
title: Ulkenia visurgensis Lng2 de novo transcriptome assembly and functional annotation

description: De novo assembled transcriptome of the Chilean thraustochytrid strain Ulkenia visurgensis Lng2. The transcriptome was assembled using sequencing data obtained with a NovaSeq 6000 System (Illumina, Inc.) with 150 bp paired end reads (2x150) length and 20 million reads. Raw reads corresponding to nine sequenced RNA samples, were cleaned to remove low-quality sequences and adapter contaminants using Trimmomatic version 0.39. Bases were cut off at the end or start of a read (trailing and leading, respectively), if below a threshold quality of 3. The cleaned reads were assembled into a full transcriptome using the Trinity assembler version 2.15.1. A Compendium of python codes and intermediary files in the de novo transcriptome assembly and a functional annotation for this are also provided. The functional annotation comprises a GO, KEGG and Homology-based annotations.
DOI: 10.15468/dl.b9rpth
title: Occurrence Download

description: A dataset containing 255485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2017-2017"
 ]
}

 The dataset includes 255485 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017010-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13871529
title: Supporting data for 'Quantum geometric protocols for fast high-fidelity adiabatic state transfer'
DOI: 10.5281/zenodo.13871530
title: Supporting data for 'Quantum geometric protocols for fast high-fidelity adiabatic state transfer'
DOI: 10.5281/zenodo.14505888
title: Supporting data for 'Quantum geometric protocols for fast high-fidelity adiabatic state transfer'
DOI: 10.5281/zenodo.15025309
title: Supporting data for 'Quantum geometric protocols for fast high-fidelity adiabatic state transfer'
DOI: 10.15468/dl.f4daa3
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Lipinia vittigera (Boulenger, 1894)"
 ]
}

 The dataset includes 107 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017044-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayvx58
title: Occurrence Download

description: A dataset containing 1113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphydryas aurinia (Rottemburg, 1775)"
 ]
}

 The dataset includes 1113 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017045-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abeb6e
title: Occurrence Download

description: A dataset containing 116363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen)",
 "Country is Netherlands",
 "Geometry POLYGON((2.67694 51.05259,9.71218 51.05259,9.71218 53.86509,2.67694 53.86509,2.67694 51.05259))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erinaceus europaeus Linnaeus, 1758",
 "Year 2000-2025"
 ]
}

 The dataset includes 116363 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017035-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9qjx8
title: Occurrence Download

description: A dataset listing the 169 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "GadmGid is BEL.1_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2025-2025"
 ]
}

 The dataset's 169 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017042-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9skst7
title: Occurrence Download

description: A dataset containing 117636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates catesbeianus (Shaw, 1802))"
 ]
}

 The dataset includes 117636 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017031-250310093411724/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.28624883
title: The protein sequences of LOX gene in Luffa aegyptiaca

description: The protein sequences of LOX gene in Luffa aegyptiaca
DOI: 10.15468/dl.ctgwh2
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.21473 43.9685,9.45699 44.27743,9.21251 45.33687,7.95976 44.93773,8.21473 43.9685))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphydryas aurinia (Rottemburg, 1775)"
 ]
}

 The dataset includes 361 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017046-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f7frc
title: Occurrence Download

description: A dataset containing 3148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerocarya birrea (A.Rich.) Hochst.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 3148 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017047-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/aqtnvs
title: Functional connectivity in children and adolescents with epileptic and developmental encephalopathies

description: Functional magnetic resonance imaging (fMRI) analysis of brain connectivity in patients with epileptic encephalopathy of genetic or presumably genetic etiology, compared to a control group of individuals with focal epilepsy without cognitive or behavioral comorbidities. The data cannot be made available due to ethical considerations related to the ongoing project.
DOI: 10.15468/dl.5yf9rv
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Lipinia vittigera (Boulenger, 1894)"
 ]
}

 The dataset includes 107 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017051-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/ismwp4
title: Dataset of two-phase flow in a horizontal pipe: synchronized measurements of acceleration, pressure, void fraction and high-speed camera - Raw Data

description: This dataset contains experimental measurements of two-phase air-water flow in a horizontal pipe. Several types of synchronized measurements are presented, such as pressure fluctuation, acceleration, void fraction, and videos of the flow. In what follows, each monitored quantity is described in detail in the attached document, along with the adopted nomenclature.
DOI: 10.5281/zenodo.14018510
title: Teflon Pronunciation Assessment Challenge

description: Speech data for the Teflon Pronunciation Assessment Challenge.

This dataset contains recordings of isolated words in Norwegian spoken by children in the age 4-12. Some of the children are motherthongue Norwegian, others are immigrants with different linguisti backgrounds. The fine names were randomized to hide the identity of the speakers. The pronunciation of each utterance has been assessed by at least one assessor on a scale 1-5 with the following meaning:



Not at all identifiable as the target word

Difficult to identify as the target word

Slight phonemic error(s)

Subphonemic error(s) or "unexpected variants"

Prototypical, adult-like


The data is divided into train and test. The corresponding CSV files contain, for each utterance, information about the spoken word and the score. Scores are only given for the training data.
DOI: 10.5281/zenodo.14018511
title: Teflon Pronunciation Assessment Challenge

description: Speech data for the Teflon Pronunciation Assessment Challenge.

This dataset contains recordings of isolated words in Norwegian spoken by children in the age 4-12. Some of the children are motherthongue Norwegian, others are immigrants with different linguisti backgrounds. The fine names were randomized to hide the identity of the speakers. The pronunciation of each utterance has been assessed by at least one assessor on a scale 1-5 with the following meaning:



Not at all identifiable as the target word

Difficult to identify as the target word

Slight phonemic error(s)

Subphonemic error(s) or "unexpected variants"

Prototypical, adult-like


The data is divided into train and test. The corresponding CSV files contain, for each utterance, information about the spoken word and the score. Scores are only given for the training data.
DOI: 10.15468/dl.hjsjm4
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbocodium versicolor (Ker Gawl.) Spreng."
 ]
}

 The dataset includes 512 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017055-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17638/datacat.liverpool.ac.uk/2972
title: Data Associated with "Addressing the Stiffness-Toughness Conflict in Hybrid Double-Network Hydrogels through a Design of Experiments Approach"

description: An open challenge in soft matter science is the ability to create hydrogels that are soft but also have high fracture energy. A possible solution to this stiffness-toughness conflict has arisen through a class of material known as hybrid double-network hydrogels, which combine two polymeric networks with diametrically opposed chain stiffness and with both covalent and physical crosslinking. The vast parameter space inherent to such a system means it is difficult to identify the precise compositional parameters that lead to both high toughness and low stiffness. In this work, we address this challenge through a Design of Experiments (DoE) framework used to establish the statistical relationship between factors and mechanical properties of a hybrid double-network hydrogel. The crosslinking density of the networks is noted to play a prominent role in determining the stiffness of the hydrogel, while the network characteristics of the ductile network determine the toughness of the hydrogel. We also report that contrary to observations in current literature, it is possible to toughen the hydrogel without stiffening it. Therefore, the present experimentation and optimization exercise provides a hands-on guide for the use of DoE to determine the conditions for optimised mechanical properties of thin hybrid double-network hydrogels for various applications.
description: n/a