cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/awg4ry
title: Fig 03b_Comparison between the P(MEA-co-IBA)(2.36)-ICE(1) and previously reported ionically conducting polymers.tab

description: This dataset supports Figure 3b in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. 
For the P(MEA-co-IBA)(λ0)-ICE(x) family, the dataset highlights that strength and stiffness can be increased simultaneously, despite a significant decrease in glass transition temperature (Tg). This dataset provides essential experimental data to validate the findings presented in the manuscript, offering insights into the performance characteristics of high-performance ionically conductive elastomers.
DOI: 10.57745/baagyr
title: Fig 02a_ Comparison between the P(MEA-co-IBA)(1)-ICE(1) and the P(MEA-co-IBA)(2.36)-ICE(1) .tab

description: This dataset supports Figure 2a in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. 
The dataset illustrates a comparison of the properties of P(MEA-co-IBA)(1)-ICE(1) and P(MEA-co-IBA)(2.36)-ICE(1). It demonstrates a significant simultaneous increase in stress at break, stiffness, fracture energy, and ionic conductivity in the latter system.
DOI: 10.57745/fiww5e
title: Fig S14_Stress-strain curves of P(MEA)(2.30)-ICE(1) at different temperatures .tab

description: This dataset supports Supplementary Figure 14 in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. The figure presents stress-strain curves of P(MEA)(2.30)-ICE(1) at various temperatures, including room temperature (r.t.), 50 ℃, and 80 ℃.
This dataset provides experimental data on the thermal-dependent mechanical behavior of P(MEA)(2.30)-ICE(1), illustrating its stress-strain response under different temperature conditions.
DOI: 10.57745/0pc5rs
title: Fig 05b_Evolution of the loading modulus measured during cycles.tab

description: This dataset supports Figure 5b in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. The figure presents the evolution of the loading modulus measured during cycles for ICEs with different pre-stretch values (λ0).
This dataset provides valuable information on the mechanical response and stiffness changes of ionically conductive elastomers under repeated cyclic loading.
DOI: 10.57745/5ouqpe
title: Fig S08a_Comparing the simple network P(MEA-co-IBA)(1)-ICE(0.5) and the MNE P(MEA-co-IBA)(1.54)-ICE(0.5).tab

description: This dataset supports Supplementary Figure 8a in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. The figure compares the stiffness (E), nominal stress at break (strength, s), fracture energy (Γc), and ionic conductivity (σ) between the simple network P(MEA-co-IBA)(1)-ICE(0.5) and the MNE P(MEA-co-IBA)(1.54)-ICE(0.5).
This dataset provides critical insights into the enhanced mechanical and ionic properties of the MNE compared to the simple network.
DOI: 10.57745/9w8mja
title: Fig S09_Stress at break (s) versus Young’s moduli (E) of the ICEs.tab

description: This dataset supports Supplementary Figure 9 in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. 

The figure shows the relationship between stress at break (σ) and Young’s moduli (E) of ICEs based on homopolymers of P(MEA) with different pre-stretched networks (λ₀).

A minimum of three samples were tested for each data point, with error bars representing the standard deviation (SD).

This dataset provides critical experimental data highlighting the mechanical properties of ICEs as influenced by pre-stretching.
DOI: 10.57745/bh1inv
title: Fig 06a_Temperature dependence of the ionic conductivity of the ICEs tested on the samples of P(MEA-co-IBA)(λ0)-ICE(1).tab

description: This dataset supports Figure 6a in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. The figure shows the temperature dependence of the ionic conductivity for P(MEA-co-IBA)(λ₀)-ICE(1) and P(MEA)(2.32)-ICE(1).
This dataset provides key insights into the thermal behavior of the ionic conductivity of ICEs.
DOI: 10.57745/ctxjst
title: Fig 04c_Strength of the P(MEA-co-IBA)(λ0)-ICE(1) and P(MEA)(2.32)-ICE(1) over temperatures..tab

description: This dataset supports Figure 4c in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. 
Summary of the evolution of mechanical strength across samples as a function of temperature. This dataset provides critical experimental evidence for the temperature-dependent mechanical behavior of ionically conductive elastomers, serving as a valuable resource for validating and extending the findings presented in the manuscript.
DOI: 10.57745/fykzlc
title: Fig S02b_ FTIR scans of P(MEA-co-IBA)(λ0)-E containing no LiTFSI.tab

description: This dataset supports Supplementary Figure 2b in the manuscript "Elastic, Strong, and Tough Ionically Conductive Elastomers," authored by Burebi Yiming et al., accepted for publication in Nature Communications. The figure presents ATR-FTIR scans of P(MEA-co-IBA)(λ₀)-E networks containing no LiTFSI. Unlike networks with LiTFSI, these samples do not show the water peak, indicating that the copolymers do not absorb water over time. Furthermore, the results confirm that PEGDA, used as a crosslinker, does not contribute to water absorption, likely due to its relatively small amount compared to other chemicals. Water uptake in these networks is solely attributed to the presence of hygroscopic lithium ions.
This dataset highlights the role of LiTFSI in water uptake and the hydrophobic behavior of the elastomer matrix in its absence.
DOI: 10.15468/dl.9sguyp
title: Occurrence Download

description: A dataset containing 113053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viscum album L."
 ]
}

 The dataset includes 113053 records from 491 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211061-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bzzxu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phonotimpus Gertsch & Davis, 1940"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025336-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpxpax
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydropotes inermis argyropus Heude, 1884"
 ]
}

 The dataset includes 107 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211074-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jicp6v
title: Occurrence Download

description: A dataset containing 408789 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cucurbitaceae"
 ]
}

 The dataset includes 408789 records from 1018 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008912-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stdueb
title: Occurrence Download

description: A dataset containing 8999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Suaeda vera Forssk. ex J.F.Gmel."
 ]
}

 The dataset includes 8999 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212408-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b22322bb2w
title: Monetary flows for inter-regional health mobility: The case of Italy

description: Dataset and do file
DOI: 10.17632/b22322bb2w.1
title: Monetary flows for inter-regional health mobility: The case of Italy

description: Dataset and do file
DOI: 10.60547/usach/vimdci/xyixhq
title: 02_Guía Técnica para uso de Sirgas y GNSS en la minería de Chile REDGEOMIN y épocas de referencia.pdf

description: :unav
DOI: 10.60547/usach/vimdci/vzfxs7
title: 02_Guía Técnica para uso de Sirgas y GNSS en la minería de Chile REDGEOMIN y épocas de referencia.pdf

description: :unav
DOI: 10.15468/dl.rkrqy9
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Albizia lucidior, Albizia lucidior)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 250 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005564-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60547/usach/vimdci
title: Guía Técnica para uso de SIRGAS y GNSS en la minería de Chile: REDGEOMIN y épocas de referencia

description: La presente guía técnica tiene como objetivo entregar información detallada sobre la implementación y uso práctico en minería, de la Red Geodésica para la Minería en Chile (REDGEOMIN) y el modelo de deformación Analysis of Deformation Beyond Los Andes (ADELA). Ambos productos geodésicos pertenecen al proyecto de la Agencia Nacional de Investigación (ANID) adjudicado en el marco del concurso IDeA I+D 2023, y denominado: IDeA I+D ID23I10147: “Desarrollo e Implementación de un Marco de Referencia Geodésico Cinemático para la Minería de Chile, Orientado a la Optimización de Sistemas Globales de Navegación por Satélite (GNSS) en Tiempo Real y Postproceso”.
DOI: 10.15468/dl.zo3bun
title: Occurrence Download

description: A dataset containing 32060 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Coleção de Aves do Museu Nacional / UFRJ"
 ]
}

 The dataset includes 32060 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016456-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3434mn
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Davidia involucrata subsp. vilmoriniana (Dode) Holub"
 ]
}

 The dataset includes 79 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260709-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9c2b8
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "TaxonKey is Bonellia sprucei (Mez) B.Ståhl & Källersjö"
 ]
}

 The dataset includes 72 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184923-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sp6aws
title: Occurrence Download

description: A dataset containing 444483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lotus corniculatus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 444483 records from 850 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016457-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbtm4w
title: Occurrence Download

description: A dataset containing 3106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliotropium amplexicaule Vahl"
 ]
}

 The dataset includes 3106 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0267100-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu4f7s
title: Occurrence Download

description: A dataset containing 999515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ranunculus nubigenus Kunth ex DC., Ranunculus ololeucos J.Lloyd, Ranunculus omiophyllus Ten., Ranunculus ophioglossifolius Vill., Ranunculus peduncularis Sm., Ranunculus peltatus Schrank, Ranunculus penicillatus (Dumort.) Bab., Ranunculus polyphyllus Waldst. & Kit. ex Willd., Ranunculus praemorsus Kunth ex DC., Ranunculus pseudotrullifolius Skottsb., Ranunculus psychrophilus Wedd., Ranunculus pulchellus C.A.Mey., Ranunculus repens L., Ranunculus reptans L., Ranunculus rionii Lagger, Ranunculus sceleratus L., Ranunculus sphaerospermus Boiss. & Blanche, Ranunculus trichophyllus Chaix, Ranunculus tripartitus DC., Ranunculus trullifolius Hook.fil., Regnellidium diphyllum Lindm., Rhyncholacis apiculata P.Royen)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation, Literature Occurrence, Material sample, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 999515 records from 1142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191189-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dc8dy3
title: Occurrence Download

description: A dataset containing 4731 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ecological typology of waterways, vegetation surveys"
 ]
}

 The dataset includes 4731 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006365-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1157457.10fu
title: SH1157457.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157465.10fu
title: SH1157465.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157467.10fu
title: SH1157467.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.34740/kaggle/dsv/14458208
title: Market Prices of Commodities in South Tangerang
DOI: 10.15156/bio/sh1157470.10fu
title: SH1157470.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157472.10fu
title: SH1157472.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157479.10fu
title: SH1157479.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157480.10fu
title: SH1157480.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157482.10fu
title: SH1157482.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.