cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17611/dp/23088834
title: Moment Tensor for November 11, 2024 MW 5.0 (GCMT) TONGA ISLANDS
DOI: 10.17611/dp/23088840
title: Moment Tensor for November 11, 2024 MW 5.0 (GCMT) MID-INDIAN RIDGE
DOI: 10.17611/dp/23088846
title: Moment Tensor for November 11, 2024 MW 5.6 (GCMT) MARIANA ISLANDS
DOI: 10.17611/dp/23088852
title: Moment Tensor for November 11, 2024 MW 4.9 (GCMT) SOUTHEAST OF HONSHU, JAPAN
DOI: 10.17611/dp/23088858
title: Moment Tensor for November 11, 2024 MW 5.1 (GCMT) FIJI ISLANDS REGION
DOI: 10.17611/dp/23088864
title: Moment Tensor for November 11, 2024 MW 4.9 (GCMT) KOMANDORSKIYE OSTROVA REGION
DOI: 10.17611/dp/23088870
title: Moment Tensor for November 12, 2024 MW 4.7 (GCMT) SULAWESI, INDONESIA
DOI: 10.17611/dp/23088876
title: Moment Tensor for November 12, 2024 MW 4.7 (GCMT) SOUTHEAST OF EASTER ISLAND
DOI: 10.17611/dp/23088882
title: Moment Tensor for November 12, 2024 MW 5.3 (GCMT) NORTHERN MOLUCCA SEA
DOI: 10.17611/dp/23088888
title: Moment Tensor for November 12, 2024 MW 5.3 (GCMT) NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/23088894
title: Moment Tensor for November 12, 2024 MW 5.0 (GCMT) NORTH OF ASCENSION ISLAND
DOI: 10.17611/dp/23088900
title: Moment Tensor for November 13, 2024 MW 5.1 (GCMT) NEAR COAST OF GUERRERO, MEXICO
DOI: 10.17611/dp/23088906
title: Moment Tensor for November 13, 2024 MW 4.9 (GCMT) SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/23088912
title: Moment Tensor for November 13, 2024 MW 4.9 (GCMT) AFGHANISTAN-TAJIKISTAN BORD REG.
DOI: 10.17611/dp/23088918
title: Moment Tensor for November 13, 2024 MW 5.0 (GCMT) HINDU KUSH REGION, AFGHANISTAN
DOI: 10.17611/dp/23088924
title: Moment Tensor for November 14, 2024 MW 4.9 (GCMT) SUNDA STRAIT, INDONESIA
DOI: 10.17611/dp/23088930
title: Moment Tensor for November 14, 2024 MW 4.9 (GCMT) ANDREANOF ISLANDS, ALEUTIAN IS.
DOI: 10.17611/dp/23088936
title: Moment Tensor for November 15, 2024 MW 4.9 (GCMT) ANDREANOF ISLANDS, ALEUTIAN IS.
DOI: 10.25824/redu/f3lvc3
title: Reversibility of alterations in adipose tissue following a transient history of obesity: possible role of AGEs

description: O presente conjunto de dados corresponde à pesquisa realizada pela aluna durante o mestrado em Farmacologia, na qual estudou os efeitos dos produtos de glicação avançada (AGEs) em um modelo de obesidade transitória, com foco na possível relação entre esses produtos e a memória metabólica.
DOI: 10.17611/dp/23088942
title: Moment Tensor for November 15, 2024 MW 5.0 (GCMT) SOUTH OF PANAMA
DOI: 10.17611/dp/23088948
title: Moment Tensor for November 15, 2024 MW 6.6 (GCMT) NEW IRELAND REGION, P.N.G.
DOI: 10.17611/dp/23088954
title: Moment Tensor for November 15, 2024 MW 5.4 (GCMT) TONGA ISLANDS REGION
DOI: 10.17611/dp/23088960
title: Moment Tensor for November 15, 2024 MW 5.5 (GCMT) BALLENY ISLANDS REGION
DOI: 10.17611/dp/23088966
title: Moment Tensor for November 15, 2024 MW 5.1 (GCMT) SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/23088972
title: Moment Tensor for November 15, 2024 MW 4.9 (GCMT) SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/23088978
title: Moment Tensor for November 15, 2024 MW 4.8 (GCMT) NEAR EAST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/23088984
title: Moment Tensor for November 17, 2024 MW 5.5 (GCMT) SOUTH OF FIJI ISLANDS
DOI: 10.15468/dl.3zk25t
title: Occurrence Download

description: A dataset containing 380749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Viola riviniana"
 ]
}

 The dataset includes 380749 records from 1444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004614-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16992610
title: Complete chloroplast genome of Vicia faba L.

description: The young leaves of V. faba were kindly provided by the Legume Research Department, College of Agricultural and Forestry Sciences, Qinghai University. This species was identified by Xue-Xia WU and is preserved in the Qinghai University, State Key Laboratory of Plateau Ecology and Agriculture. No permission was required for collecting the samples, as they are not included in the list of nationally key protected plants. The samples were collected from well-grown, disease-free, and pest-free fresh leaves, immediately frozen in liquid nitrogen, and subsequently stored in a -80 ℃ refrigerator for spare parts. Total genomic DNA was extracted using a modified cetyltrimethylammonium bromide (CTAB) method. Sequencing libraries were generated using the NEBNext® Ultra™ DNA Library Preparation Kit. After passing the quality of the library, sequencing was performed on the BGI platform  to obtain raw data. A total of 86,250,000 paired-end reads, each comprising 150 bp sequences, were generated. Low-quality sequences were filtered out using Fastp v0.23.0 software, and the resulting clean reads were used for subsequent splicing. The paired-end reads of V. faba were filtered and assembled into a complete plastome using and GetOrganelle v1.7.1 with default parameters. The quality of the newly assembled genomes was evaluated on a level basis by aligning the trimmed raw reads to the de novo assemblies using Geneious mapper, Geneious v8.0.2 with medium- to low-sensitivity settings and up to five iterations. The resulting complete chloroplast genomes were automatically annotated using CPGAVAS2 software, followed by manual adjustments. Based on the annotation results, manual corrections of start/stop codons and intron/exon boundaries were performed in Geneious v8.0.2. We attempted to use the online tRNAscan-SE service v2.0 (http://lowelab.ucsc.edu/tRNAscan-SE/)  to enhance the identification of tRNA genes.
DOI: 10.5281/zenodo.16992611
title: Complete chloroplast genome of Vicia faba L.

description: The young leaves of V. faba were kindly provided by the Legume Research Department, College of Agricultural and Forestry Sciences, Qinghai University. This species was identified by Xue-Xia WU and is preserved in the Qinghai University, State Key Laboratory of Plateau Ecology and Agriculture. No permission was required for collecting the samples, as they are not included in the list of nationally key protected plants. The samples were collected from well-grown, disease-free, and pest-free fresh leaves, immediately frozen in liquid nitrogen, and subsequently stored in a -80 ℃ refrigerator for spare parts. Total genomic DNA was extracted using a modified cetyltrimethylammonium bromide (CTAB) method. Sequencing libraries were generated using the NEBNext® Ultra™ DNA Library Preparation Kit. After passing the quality of the library, sequencing was performed on the BGI platform  to obtain raw data. A total of 86,250,000 paired-end reads, each comprising 150 bp sequences, were generated. Low-quality sequences were filtered out using Fastp v0.23.0 software, and the resulting clean reads were used for subsequent splicing. The paired-end reads of V. faba were filtered and assembled into a complete plastome using and GetOrganelle v1.7.1 with default parameters. The quality of the newly assembled genomes was evaluated on a level basis by aligning the trimmed raw reads to the de novo assemblies using Geneious mapper, Geneious v8.0.2 with medium- to low-sensitivity settings and up to five iterations. The resulting complete chloroplast genomes were automatically annotated using CPGAVAS2 software, followed by manual adjustments. Based on the annotation results, manual corrections of start/stop codons and intron/exon boundaries were performed in Geneious v8.0.2. We attempted to use the online tRNAscan-SE service v2.0 (http://lowelab.ucsc.edu/tRNAscan-SE/)  to enhance the identification of tRNA genes.
DOI: 10.15468/dl.erw9y2
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Pakistan, Bhutan, Nepal, Afghanistan)",
 "Geometry POLYGON((96.41044 29.88817,94.41053 30.71851,89.92548 30.12986,83.71418 31.71528,82.08257 32.21565,79.10668 36.25718,75.17743 37.17404,71.49864 36.57423,73.25909 34.75717,73.23731 34.62027,73.32599 34.26091,73.80358 34.1349,73.88759 33.93422,73.98219 33.59626,74.0662 33.39558,74.01019 33.15911,74.40845 32.95999,74.80359 32.99732,74.74758 32.90243,75.14273 32.50417,75.60943 32.41083,75.73856 31.93323,76.11192 31.3623,76.53973 30.9796,76.90781 30.74946,77.54408 30.33098,78.14387 30.30538,78.40833 30.10626,78.97149 29.37975,79.06639 29.34242,79.24063 29.24285,79.55643 28.81815,80.13798 28.33372,80.51691 28.06255,80.65424 28.22768,80.97929 28.39108,81.24698 28.0469,81.3252 27.89046,81.39299 27.90958,81.43471 27.99823,82.74541 27.53594,83.08969 27.61188,83.68713 27.5815,83.97573 27.32329,84.16965 27.23946,84.57823 27.29291,85.33769 27.00432,85.99589 26.89799,86.46675 26.66509,86.79079 26.58408,87.21102 26.67522,87.80016 26.63934,88.14769 26.5132,88.71981 26.61952,89.38307 26.49295,89.92989 26.12334,90.15266 26.38156,90.19823 26.56889,91.04882 26.62459,91.85067 26.84805,92.87847 26.7316,93.74425 26.99995,97.72177 28.56164,96.41044 29.88817))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Justicia adhatoda"
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006742-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekc7sv
title: Occurrence Download

description: A dataset containing 1054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "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 ((1.1203 5.3273,1.1382 5.3438,1.1382 11.0599,-7.8618 11.0599,-7.8618 3.9537,-7.6185 3.8529,-5.722 4.551,-4.0045 4.7444,-1.8508 4.2719,0.3589 5.2679,1.1203 5.3273))"
 ]
}

 The dataset includes 1054 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006741-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.30005797
title: REDEFINE (Hungary): Interview with a professional involved in BBRU

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a professional involved in BBRU. The conversation contributes to REDEFINE’s case study of Chinese investment in Budapest-Belgrade Railway upgrade. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.30005797.v1
title: REDEFINE (Hungary): Interview with a professional involved in BBRU

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a professional involved in BBRU. The conversation contributes to REDEFINE’s case study of Chinese investment in Budapest-Belgrade Railway upgrade. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.15468/dl.bmhrsb
title: Occurrence Download

description: A dataset containing 251707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer montanus",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 251707 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006708-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.30005782
title: REDEFINE (Hungary): Interview with a Researcher of a Hungarian Think Tank

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a researcher of a Hungarian think tank. The conversation contributes to REDEFINE’s case study of Chinese investment in Budapest-Belgrade Railway upgrade. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.30005782.v1
title: REDEFINE (Hungary): Interview with a Researcher of a Hungarian Think Tank

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a researcher of a Hungarian think tank. The conversation contributes to REDEFINE’s case study of Chinese investment in Budapest-Belgrade Railway upgrade. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.30005767
title: REDEFINE (Hungary): Interview with two professionals of a civil engineering company

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with the public property manager and the CEO of a civil engineering company. The conversation contributes to REDEFINE’s case study of Chinese investment in Budapest-Belgrade Railway upgrade. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.30005767.v1
title: REDEFINE (Hungary): Interview with two professionals of a civil engineering company

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with the public property manager and the CEO of a civil engineering company. The conversation contributes to REDEFINE’s case study of Chinese investment in Budapest-Belgrade Railway upgrade. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.15468/dl.3jderj
title: Occurrence Download

description: A dataset containing 396814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelidonium majus",
 "Year 1957-2022"
 ]
}

 The dataset includes 396814 records from 1715 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006712-250827131500795/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/12054425
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.wcu4dn
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019519-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15589797
title: Design principles for (efficient) excited-state absorption-based blue-to-UV upconversion phosphors with Pr3+

description: Dataset accompanying figures published in the publication DOI:10.1039/D5SC01862E
DOI: 10.5281/zenodo.15589798
title: Design principles for (efficient) excited-state absorption-based blue-to-UV upconversion phosphors with Pr3+

description: Dataset accompanying figures published in the publication DOI:10.1039/D5SC01862E
DOI: 10.15468/dl.utd2dg
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019520-250525065834625/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.28726456
title: Posterior Predictive Design for Phase I Clinical Trials

description: Interval-based designs represent cutting-edge adaptive methodologies for phase I clinical trials to identify the maximum tolerated dose (MTD). These designs exhibit robust performance comparable to more intricate, model-based designs, and their pretabulated decision rule enables them to be implemented as simply as the conventional algorithm-based designs. In this paper, we introduce the posterior predictive (PoP) design, a novel interval-based design that leverages advanced Bayesian predictive hypothesis testing techniques for dose escalation and de-escalation. Our work moves beyond the existing model-assisted interval-based designs by achieving global optimality in dose transition. Theoretically, the global optimality ensures that the proposed design can consistently select the true MTD at an impressive convergence rate of n−1/2. Through extensive simulation studies, we demonstrate that the PoP design yields substantial improvement in operating characteristics to identify MTD, thereby presenting a valuable upgrade to the popular interval-based designs in practice. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.28726456.v1
title: Posterior Predictive Design for Phase I Clinical Trials

description: Interval-based designs represent cutting-edge adaptive methodologies for phase I clinical trials to identify the maximum tolerated dose (MTD). These designs exhibit robust performance comparable to more intricate, model-based designs, and their pretabulated decision rule enables them to be implemented as simply as the conventional algorithm-based designs. In this paper, we introduce the posterior predictive (PoP) design, a novel interval-based design that leverages advanced Bayesian predictive hypothesis testing techniques for dose escalation and de-escalation. Our work moves beyond the existing model-assisted interval-based designs by achieving global optimality in dose transition. Theoretically, the global optimality ensures that the proposed design can consistently select the true MTD at an impressive convergence rate of n−1/2. Through extensive simulation studies, we demonstrate that the PoP design yields substantial improvement in operating characteristics to identify MTD, thereby presenting a valuable upgrade to the popular interval-based designs in practice. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.