cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2019.942
title: Thailand’s forward premium puzzle and long-run risk model

description: This paper tries to reconcile the forward premium or UIP puzzle and consumption – real exchange rate puzzle between Thailand and United Stated with the sample period from 2000Q1 to 2017Q4 using Colacito & Croce (2013) model. This model features two crucial ingredients in contrast to standard asset pricing model. Firstly, Epstein & Zin (1989) preference is introduced to channel the risk appetite of agents into analysis while the standard CRRA preference is not. Secondly, the long-run risk feature of Bansal & Yaron (2004) is added in the model as another source of risk. With these setting, the model can match several basic international moments and fully explain forwardpremium. But not for the risk-free rate puzzle.
DOI: 10.6084/m9.figshare.13513677
title: Eclipse21June2020

description: GNSS TEC over China, foF2 and hvF2 over Puer during the annular solar eclipse on 21 June 2020.
DOI: 10.6084/m9.figshare.13513677.v1
title: Eclipse21June2020

description: GNSS TEC over China, foF2 and hvF2 over Puer during the annular solar eclipse on 21 June 2020.
DOI: 10.5281/zenodo.4414991
title: Moment tensors for ring-faulting at active volcanoes: Insights into vertical-CLVD earthquakes at the Sierra Negra caldera, Galápagos Islands

description: We conduct moment tensor (MT) inversion for the 2005 earthquake at the Sierra Negra caldera, the Galapagos Islands. For the inversion, we assumed different centroid locations in 3D space, i.e., on the x–y (longitude-latitude) plane at a depth of 2.5 km below the solid surface, and the x–z (longitude–depth) plane along a latitude of 0.83°S across the Sierra Negra caldera. The data is used for Figure 7 in our manuscript. For the detailed methodology and data, see the main text of our manuscript.
DOI: 10.6084/m9.figshare.13515593
title: Additional file 1 of Physiological characterization and transcriptome analysis of Pichia pastoris reveals its response to lignocellulose-derived inhibitors

description: Additional file 1: Table S1. DEGs found in acetic acid containing conditions related to methylation processes (GO-Biological Process). Table S2. DEGs found in acetic acid containing conditions related to regulation of Rho protein signal transduction (GO-Biological Process). Table S3. DEGs found in furaldehydes containing conditions related to transmembrane transpor transport (GO-Biological Process). Table S4. DEGs found in furaldehydes containing conditions related to metal-ion transport (GO-Biological Process). Table S5. DEGs found in furaldehydes containing conditions related to iron-sulfur cluster assembly (GO-Biological Process). Table S6. DEGs found in hydrolysate containing conditions related to transmembrane transport (GO-Biological Process). Table S7. Compilation of top 10 most overexpressed genes in each of the evaluated conditions (GO-Biological Process).
DOI: 10.6084/m9.figshare.13515593.v1
title: Additional file 1 of Physiological characterization and transcriptome analysis of Pichia pastoris reveals its response to lignocellulose-derived inhibitors

description: Additional file 1: Table S1. DEGs found in acetic acid containing conditions related to methylation processes (GO-Biological Process). Table S2. DEGs found in acetic acid containing conditions related to regulation of Rho protein signal transduction (GO-Biological Process). Table S3. DEGs found in furaldehydes containing conditions related to transmembrane transpor transport (GO-Biological Process). Table S4. DEGs found in furaldehydes containing conditions related to metal-ion transport (GO-Biological Process). Table S5. DEGs found in furaldehydes containing conditions related to iron-sulfur cluster assembly (GO-Biological Process). Table S6. DEGs found in hydrolysate containing conditions related to transmembrane transport (GO-Biological Process). Table S7. Compilation of top 10 most overexpressed genes in each of the evaluated conditions (GO-Biological Process).
DOI: 10.6084/m9.figshare.13515626
title: Additional file 1 of Does husband’s alcohol consumption increase the risk of domestic violence during the pregnancy and postpartum periods in Nepalese women?

description: Additional file 1. Study questionnaire. There were two types of questionnaire used for data collection. One questionnaire was for pregnant women, and another one for postpartum period mother.
DOI: 10.6084/m9.figshare.13515626.v1
title: Additional file 1 of Does husband’s alcohol consumption increase the risk of domestic violence during the pregnancy and postpartum periods in Nepalese women?

description: Additional file 1. Study questionnaire. There were two types of questionnaire used for data collection. One questionnaire was for pregnant women, and another one for postpartum period mother.
DOI: 10.5281/zenodo.4415029
title: Dataset for the decay process of PM2.5 pollution episodes around Beijing

description: PM2.5 concentrations in the 28 cities around Beijing (Apm); Time series of the decay phase days (LocaDate); Time series of the dry-day decay phase days (LocaDateNoPre)
DOI: 10.5281/zenodo.4415028
title: Dataset for the decay process of PM2.5 pollution episodes around Beijing

description: PM2.5 concentrations in the 28 cities around Beijing (Apm); Time series of the decay phase days (LocaDate); Time series of the dry-day decay phase days (LocaDateNoPre)
DOI: 10.21227/90xx-je03
title: UrduWeb20

description: The attached files contain dataset of UrduWeb20 and implementation code used in "Corpulyzer: A Novel framework for building Low Resource Language Corpora" paper.UrduWeb20 is content-rich Urdu language corpus containing 8.0 million webpages build by crawling the WWW with Corpulyzer framework.The implementation code of the following modules is provided:1. Web-AM2. CLD2 service3. Language filter4. LRL scoring
DOI: 10.21227/844q-6y69
title: UrduWeb20

description: The attached files contain dataset of UrduWeb20 and implementation code used in "Corpulyzer: A Novel framework for building Low Resource Language Corpora" paper.UrduWeb20 is content-rich Urdu language corpus containing 8.0 million webpages build by crawling the WWW with Corpulyzer framework.The implementation code of the following modules is provided:1. Web-AM2. CLD2 service3. Language filter4. LRL scoring
DOI: 10.21227/pf35-qx24
title: UrduWeb20

description: The attached files contain dataset of UrduWeb20 and implementation code used in "Corpulyzer: A Novel framework for building Low Resource Language Corpora" paper.UrduWeb20 is content-rich Urdu language corpus containing 8.0 million webpages build by crawling the WWW with Corpulyzer framework.The implementation code of the following modules is provided:1. Web-AM2. CLD2 service3. Language filter4. LRL scoring
DOI: 10.14457/su.res.2020.13
title: การพัฒนาฟิล์มบรรจุภัณฑ์พอลิบิวทิลีนอะดิเพท-โค-เทเรฟทาเลทเพื่อใช้ สำหรับยืดอายุผลผลิตทางการเกษตร
DOI: 10.14457/su.res.2020.14
title: การประเมินความสามารถในการต้านทานการหักล้มและการสร้างลูกผสมเพื่อปรับปรุงลักษณะต้านทาน ต่อการหักล้มในข้าวไร่
DOI: 10.14457/su.res.2020.15
title: การศึกษาประสิทธิภาพทางความร้อนของเตาเผาแบบหมุนขนาดเล็กสำหรับกระบวนการทอรีแฟคชั่น
DOI: 10.14457/su.res.2019.22
title: การจัดการปุ๋ยร่วมกับสารปรับปรุงดินเพื่อเพิ่มผลผลิตของสับปะรดและผลต่อสมบัติของดิน
DOI: 10.14457/su.res.2020.16
title: ลำดับนิวคลีโอไทด์ของ inhibitory RNA element ในบริเวณ late 3’untranslated region (3’UTR) ของ bovine papillomavirus ไทป์ 3 (BPV-3) และปฏิสัมพันธ์ระหว่าง element กับโปรตีนของ HeLa cell
DOI: 10.14457/su.res.2020.17
title: การผลิตแผ่นฟิล์มบรรจุภัณฑ์แอคทีฟ จากแบคทีเรียลเซลลูโลสที่ผลิตจากน้ำทิ้งของโรงงานอุตสาหกรรมประเภทแป้ง
DOI: 10.14457/su.res.2020.18
title: การแยกและการคัดเลือกจุลินทรีย์ที่สามารถผลิตพอลิเมอร์ชีวภาพ : แบคทีเรียลเซลลูโลส จากน้ำทิ้งของโรงงานอุตสาหกรรมประเภทแป้ง
DOI: 10.14457/su.res.2020.19
title: โครงการระบบการไหลอัติโนมัติร่วมกับส่วนตรวจวัดแบบ สเปกโตรเมตริก-ฟลูออโรเมตริกสา หรับวิเคราะห์ปริมาณทองแดง และสังกะสีในผลิตภัณฑ์เสริมอาหาร
DOI: 10.14457/su.res.2020.20
title: โครงการประสานงานงานวิจัยประเด็นวิจัยเชิงยุทธศาสตร์จังหวัดชายแดนภาคใต้ (SRI13)
DOI: 10.14457/su.res.2020.21
title: โครงการวิธีวิทยาทางปรัชญา
DOI: 10.21227/kp89-2f08
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 292,091 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.6084/m9.figshare.13515935
title: Factors predicting the success of adhesiolysis using a steerable catheter in lumbar failed back surgery syndrome: a retrospective study

description: Raw data
DOI: 10.6084/m9.figshare.13515935.v2
title: Factors predicting the success of adhesiolysis using a steerable catheter in lumbar failed back surgery syndrome: a retrospective study

description: Raw data
DOI: 10.6084/m9.figshare.13515935.v1
title: Factors predicting the success of adhesiolysis using a steerable catheter in lumbar failed back surgery syndrome: a retrospective study

description: Raw data, figure, table
DOI: 10.6084/m9.figshare.13414670
title: Li et.al_Science_source_data

description: Many plant specialized metabolites function in herbivore defense and abrogating particular steps in their biosynthetic pathways frequently causes autotoxicity. However, the molecular mechanisms underlying their defense and autotoxicity remain unclear. Here, we show that silencing two cytochrome P450s involved in diterpene biosynthesis in the wild tobacco, <i>Nicotiana attenuata</i>, causes severe autotoxicity symptoms that result from the inhibition of sphingolipid biosynthesis by non-controlled hydroxylated diterpene derivatives. Moreover, the diterpene’s defensive function is achieved by inhibiting herbivore sphingolipid biosynthesis through post-ingestive backbone hydroxylation products. Thus, by regulating metabolic modifications, tobacco plants avoid autotoxicity and gain herbivore defense. The post-digestive duet that occurs between plants and their insect herbivores can reflect the plant’s solutions to the “toxic waste dump” problem of using potent chemical defenses.
DOI: 10.6084/m9.figshare.13414670.v2
title: Li et.al_Science_source_data

description: Many plant specialized metabolites function in herbivore defense and abrogating particular steps in their biosynthetic pathways frequently causes autotoxicity. However, the molecular mechanisms underlying their defense and autotoxicity remain unclear. Here, we show that silencing two cytochrome P450s involved in diterpene biosynthesis in the wild tobacco, <i>Nicotiana attenuata</i>, causes severe autotoxicity symptoms that result from the inhibition of sphingolipid biosynthesis by non-controlled hydroxylated diterpene derivatives. Moreover, the diterpene’s defensive function is achieved by inhibiting herbivore sphingolipid biosynthesis through post-ingestive backbone hydroxylation products. Thus, by regulating metabolic modifications, tobacco plants avoid autotoxicity and gain herbivore defense. The post-digestive duet that occurs between plants and their insect herbivores can reflect the plant’s solutions to the “toxic waste dump” problem of using potent chemical defenses.
DOI: 10.6084/m9.figshare.13414670.v1
title: Li et.al_Science_source_data

description: Many plant specialized metabolites function in herbivore defense and abrogating particular steps in their biosynthetic pathways frequently causes autotoxicity. However, the molecular mechanisms underlying their defense and autotoxicity remain unclear. Here, we show that silencing two cytochrome P450s involved in diterpene biosynthesis in the wild tobacco, <i>Nicotiana attenuata</i>, causes severe autotoxicity symptoms that result from the inhibition of sphingolipid biosynthesis by non-controlled hydroxylated diterpene derivatives. Moreover, the diterpene’s defensive function is achieved by inhibiting herbivore sphingolipid biosynthesis through post-ingestive backbone hydroxylation products. Thus, by regulating metabolic modifications, tobacco plants avoid autotoxicity and gain herbivore defense. The post-digestive duet that occurs between plants and their insect herbivores can reflect the plant’s solutions to the “toxic waste dump” problem of using potent chemical defenses.
DOI: 10.5281/zenodo.4415050
title: Soil depth matters: Shift in composition and inter-kingdom co-occurrence patterns of microorganisms in forest soils

description: Soil depth represents a strong physiochemical gradient that greatly affects soil-dwelling microorganisms. Fungal communities are typically structured by soil depth, but how other microorganisms are structured is less known. Here, we tested whether depth-dependent variation in soil chemistry affects the distribution and co-occurrence patterns of soil microbial communities. This was investigated by DNA metabarcoding in conjunction with network analyses of bacteria, fungi, as well as other micro-eukaryotes, sampled in four different soil depths in Norwegian birch forests. Strong compositional turnover in microbial assemblages with soil depth was detected for all organismal groups. Significantly greater microbial diversity and fungal biomass appeared in the nutrient-rich organic layer, with sharp decrease towards the less nutrient-rich mineral zones. The proportions of copiotrophic bacteria, Arthropoda and Apicomplexa were markedly higher in the organic layer, while patterns were opposite for oligotrophic bacteria, Cercozoa, Ascomycota and ectomycorrhizal fungi. Network analyses indicated more intensive inter-kingdom co-occurrence patterns in the upper mineral layer (0-5 cm) compared to the above organic and the lower mineral soil, signifying substantial influence of soil depth on biotic interactions. This study supports the view that different microbial groups are adapted to different forest soil strata, with varying level of interactions along the depth gradient.
description: The sequence dataset for each marker gene (16S, ITS, and 18S) was generated as two libraries (P1 and P2). The raw fastq-formatted datasets contain sequence data for all the samples including birch and spruce forest (i.e. full dataset 120 samples) whereas in the soil depth gradient project only samples collected from birch forest sites (i.e. 60 samples) were analyses along depth gradients.
DOI: 10.5281/zenodo.4415049
title: Soil depth matters: Shift in composition and inter-kingdom co-occurrence patterns of microorganisms in forest soils

description: Soil depth represents a strong physiochemical gradient that greatly affects soil-dwelling microorganisms. Fungal communities are typically structured by soil depth, but how other microorganisms are structured is less known. Here, we tested whether depth-dependent variation in soil chemistry affects the distribution and co-occurrence patterns of soil microbial communities. This was investigated by DNA metabarcoding in conjunction with network analyses of bacteria, fungi, as well as other micro-eukaryotes, sampled in four different soil depths in Norwegian birch forests. Strong compositional turnover in microbial assemblages with soil depth was detected for all organismal groups. Significantly greater microbial diversity and fungal biomass appeared in the nutrient-rich organic layer, with sharp decrease towards the less nutrient-rich mineral zones. The proportions of copiotrophic bacteria, Arthropoda and Apicomplexa were markedly higher in the organic layer, while patterns were opposite for oligotrophic bacteria, Cercozoa, Ascomycota and ectomycorrhizal fungi. Network analyses indicated more intensive inter-kingdom co-occurrence patterns in the upper mineral layer (0-5 cm) compared to the above organic and the lower mineral soil, signifying substantial influence of soil depth on biotic interactions. This study supports the view that different microbial groups are adapted to different forest soil strata, with varying level of interactions along the depth gradient.
description: The sequence dataset for each marker gene (16S, ITS, and 18S) was generated as two libraries (P1 and P2). The raw fastq-formatted datasets contain sequence data for all the samples including birch and spruce forest (i.e. full dataset 120 samples) whereas in the soil depth gradient project only samples collected from birch forest sites (i.e. 60 samples) were analyses along depth gradients.
DOI: 10.5281/zenodo.4322819
title: Dataset on Article: Multiple stressors determine river ecological status at the European scale: Towards an integrated understanding of river status deterioration

description: The shape file contains the raw data from the Global Change Biology article "River types, hydrology, riparian land use, nutrients, toxic substances, ecological status, stressor interactions". <strong>General Information</strong> Name of the dataset: MultipleStress_RiverEcoStatus.shp Type of dataset: vector data (shape file) Number of polygons: 52.847 Geographic Coordinate System: GCS_WGS_1984 <strong>Contact details</strong> Metadata / scientific contact person: First, last name: Sebastian Birk Email: sebastian.birk@uni-due.de Institution: University of Duisburg-Essen, Faculty of Biology, Institute of Aquatic Ecology Address: Universitätsstrasse 5 Postal code, city: 45141 Essen Country: Germany Web address: https://www.uni-due.de/aquatic_ecology/ <strong>Attribute description</strong> <strong>m_zhyd_1</strong> Unique identifier of FEC (Functional Elementary Catchment) Data structure: character <strong>mars_bt12</strong> Broad river type aggregated Data structure: character <strong>eco_stat_2</strong> Ecological status (class) Data structure: character <strong>eco_stat_n</strong> Ecological status (numeric class) Data structure: integer <strong>LoadTPArea</strong> Total phosphorous riverine loading (unit: kg km<sup>-2</sup> a<sup>-1</sup>) Decimal separator: comma Data structure: double <strong>LoadTN_Are</strong> Total nitrogen riverine loading (unit: kg ha<sup>-1</sup> a<sup>-1</sup>) Decimal separator: comma Data structure: double <strong>lu_r_urb</strong> Percent urban land use in the riparian zone Decimal separator: comma Data structure: double <strong>lu_r_agr</strong> Percent agricultural land use in the riparian zone Decimal separator: comma Data structure: double <strong>hy_maf_abs</strong> Alteration of mean annual flow (ratio scale) Decimal separator: comma Data structure: double <strong>hy_bfi_abs</strong> Alteration of base flow (ratio scale) Decimal separator: comma Data structure: double <strong>msPAFP5EC5</strong> Multi-substance Potentially Affected Fraction of species (msPAF-EC<sub>50</sub> based on 95<sup>th</sup> percentile) Decimal separator: comma Data structure: double <strong>Further information</strong> For more details on the dataset, see (Manuscript accepted, wating for publication at the moment)<br> <strong>Acknowledgements</strong> This work was funded by the MARS project (Managing Aquatic ecosystems and water resources under multiple stress), funded by the European Union under the 7th Framework Programme, contract no. 603378.
DOI: 10.5281/zenodo.4322818
title: Dataset on Article: Multiple stressors determine river ecological status at the European scale: Towards an integrated understanding of river status deterioration

description: The shape file contains the raw data from the Global Change Biology article "River types, hydrology, riparian land use, nutrients, toxic substances, ecological status, stressor interactions". <strong>General Information</strong> Name of the dataset: MultipleStress_RiverEcoStatus.shp Type of dataset: vector data (shape file) Number of polygons: 52.847 Geographic Coordinate System: GCS_WGS_1984 <strong>Contact details</strong> Metadata / scientific contact person: First, last name: Sebastian Birk Email: sebastian.birk@uni-due.de Institution: University of Duisburg-Essen, Faculty of Biology, Institute of Aquatic Ecology Address: Universitätsstrasse 5 Postal code, city: 45141 Essen Country: Germany Web address: https://www.uni-due.de/aquatic_ecology/ <strong>Attribute description</strong> <strong>m_zhyd_1</strong> Unique identifier of FEC (Functional Elementary Catchment) Data structure: character <strong>mars_bt12</strong> Broad river type aggregated Data structure: character <strong>eco_stat_2</strong> Ecological status (class) Data structure: character <strong>eco_stat_n</strong> Ecological status (numeric class) Data structure: integer <strong>LoadTPArea</strong> Total phosphorous riverine loading (unit: kg km<sup>-2</sup> a<sup>-1</sup>) Decimal separator: comma Data structure: double <strong>LoadTN_Are</strong> Total nitrogen riverine loading (unit: kg ha<sup>-1</sup> a<sup>-1</sup>) Decimal separator: comma Data structure: double <strong>lu_r_urb</strong> Percent urban land use in the riparian zone Decimal separator: comma Data structure: double <strong>lu_r_agr</strong> Percent agricultural land use in the riparian zone Decimal separator: comma Data structure: double <strong>hy_maf_abs</strong> Alteration of mean annual flow (ratio scale) Decimal separator: comma Data structure: double <strong>hy_bfi_abs</strong> Alteration of base flow (ratio scale) Decimal separator: comma Data structure: double <strong>msPAFP5EC5</strong> Multi-substance Potentially Affected Fraction of species (msPAF-EC<sub>50</sub> based on 95<sup>th</sup> percentile) Decimal separator: comma Data structure: double <strong>Further information</strong> For more details on the dataset, see (Manuscript accepted, wating for publication at the moment)<br> <strong>Acknowledgements</strong> This work was funded by the MARS project (Managing Aquatic ecosystems and water resources under multiple stress), funded by the European Union under the 7th Framework Programme, contract no. 603378.
DOI: 10.5281/zenodo.4415127
title: Datasets associated with Agostini, S., Houlbreque, F., Biscéré, T., Harvey, B. P., Heitzman, J. M., Takimoto, R., et al. (2020). Greater mitochondrial energy production provides resistance to ocean acidification in 'winning' hermatypic corals. Front. Mar. Sci. 7. doi:10.3389/fmars.2020.600836.

description: Datasets associated with Agostini, S., Houlbreque, F., Biscéré, T., Harvey, B. P., Heitzman, J. M., Takimoto, R., et al. (2020). Greater mitochondrial energy production provides resistance to ocean acidification in ‘winning’ hermatypic corals. Front. Mar. Sci. 7. doi:10.3389/fmars.2020.600836.