cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c8xur5
title: Occurrence Download

description: A dataset listing the 107 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((17.98575 -33.13079,18.00304 -33.13079,18.00304 -33.11236,17.98575 -33.11236,17.98575 -33.13079))",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 107 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003899-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13906421
title: Crosslinking of T6SS and T0SS for the secretion of unconventional peroxidase contributes to bacterial lignin utilization

description: Secretion of lignolytic enzymes is a competitive advantage for microbial survival in the heterogeneous environments. They are commonly by signal peptides to be transported to the extracellular milieu for lignin catabolism, as the highly complex polymer cannot be translocated through the cell membrane. However, some bacterial lignolytic enzymes lack signal peptides, yet, can still be secreted. It remains unclear how these leaderless proteins cross the inner and outer membranes. Here, we reveal a novel secretion mechanism for the unconventional B-type dye-decolorizing peroxidases (DypB) in Pseudomonas putida. Type VI secretion system (T6SS) mediates the inner membrane channel, where interaction of DypB with VgrG and Hcp accounts for periplasmic delivery. Once in the periplasm, DypB is allocated into outer membrane vesicles (OMVs), also called T0SS, and released to extracellular space. The crosslinked translocation model for DypB delivery represents a novel and ingenious mechanism by which bacteria harness extant systems to thrive in a dynamically changing environment. Moreover, we developed an OMV-surface display platform to improve DypB secretion and further enhance lignin utilization, exemplifying the applicability of OMVs as a lignin biocatalytic nanoreactor. Our study provides multiple new perspectives on unconventional protein secretion and its biotechnological applications.
DOI: 10.5281/zenodo.13906422
title: Crosslinking of T6SS and T0SS for the secretion of unconventional peroxidase contributes to bacterial lignin utilization

description: Secretion of lignolytic enzymes is a competitive advantage for microbial survival in the heterogeneous environments. They are commonly by signal peptides to be transported to the extracellular milieu for lignin catabolism, as the highly complex polymer cannot be translocated through the cell membrane. However, some bacterial lignolytic enzymes lack signal peptides, yet, can still be secreted. It remains unclear how these leaderless proteins cross the inner and outer membranes. Here, we reveal a novel secretion mechanism for the unconventional B-type dye-decolorizing peroxidases (DypB) in Pseudomonas putida. Type VI secretion system (T6SS) mediates the inner membrane channel, where interaction of DypB with VgrG and Hcp accounts for periplasmic delivery. Once in the periplasm, DypB is allocated into outer membrane vesicles (OMVs), also called T0SS, and released to extracellular space. The crosslinked translocation model for DypB delivery represents a novel and ingenious mechanism by which bacteria harness extant systems to thrive in a dynamically changing environment. Moreover, we developed an OMV-surface display platform to improve DypB secretion and further enhance lignin utilization, exemplifying the applicability of OMVs as a lignin biocatalytic nanoreactor. Our study provides multiple new perspectives on unconventional protein secretion and its biotechnological applications.
DOI: 10.5281/zenodo.13906463
title: BUDJET TASHKILOTLARIDA BUDJETDAN TASHQARI MABLAG'LAR HISOBINI TASHKIL ETISHNING AXBOROT TIZIMLARINI TAKOMILLASHTIRISH
DOI: 10.5281/zenodo.13906464
title: BUDJET TASHKILOTLARIDA BUDJETDAN TASHQARI MABLAG'LAR HISOBINI TASHKIL ETISHNING AXBOROT TIZIMLARINI TAKOMILLASHTIRISH
DOI: 10.5281/zenodo.4611086
title: Turtle for HeiCuBeDa

description: Turtles files describing a subset of metadata from the HeiCuBeDa dataset.
DOI: 10.15468/dl.n64k4z
title: Occurrence Download

description: A dataset containing 16103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclosorus Link"
 ]
}

 The dataset includes 16103 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003902-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5665893
title: 湖泊水位水量年变化速率

description: 2000-2020年全球500平方公里以上湖泊水位水量年变化速率
DOI: 10.5281/zenodo.4602013
title: Intra- and Inter-Cloud Network Latency

description: 50-hour monitoring results for studying Intra- and Inter-Cloud Network Latency.
DOI: 10.5281/zenodo.5102743
title: Karst Rocky Desertification in Guizhou,China

description: Building a high-precision, stable, and universal automatic extraction model of rocky desertification information is the premise for exploring the spatiotemporal evolution of rocky desertification. Taking Guizhou province as the research area and based on MODIS and continuous forest inventory data in China (NFCI), we used a machine learning algorithm (SVM) to build a rocky desertification model with bedrock exposure rate, temperature difference, humidity, and other characteristic factors and improved the model accuracy from the spatial and temporal dimensions.
DOI: 10.15468/dl.n2vegr
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is Mexico",
 "TaxonKey is Chiroderma scopaeum Handley, 1966"
 ]
}

 The dataset includes 198 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003904-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6bnbk
title: Occurrence Download

description: A dataset containing 9754 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Universidad Politécnica de Madrid, Dpto. Biología Vegetal, Banco de Germoplasma"
 ]
}

 The dataset includes 9754 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003905-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6630965
title: CoAID dataset with multiple extracted features (both sparse and dense) and degraded by OCR

description: This is the same datasets as: Guillaume Bernard. (2022). CoAID dataset with multiple extracted features (both sparse and dense) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630405 But with texts degraded by OCR as described in: Guillaume Bernard. (2022). CoAID dataset texts with OCR degradations (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630710
DOI: 10.5281/zenodo.6630405
title: CoAID dataset with multiple extracted features (both sparse and dense)

description: This is a publication of the CoAID dataset originaly dedicated to fake news detection. We changed here the purpose of this dataset in order to use it in the context of event tracking in press documents. Cui, Limeng, et Dongwon Lee. 2020. « CoAID: COVID-19 Healthcare Misinformation Dataset ». <em>ArXiv:2006.00885 [Cs]</em>, novembre. http://arxiv.org/abs/2006.00885. In this dataset, we provide multiple features extracted from the text itself. <strong>Please note the text is missing from the dataset published in the CSV format for copyright reasons. You can download the original datasets and manually add the missing texts from the original publications.</strong> Features are extracted using: - A corpus of reference articles in multiple languages languages for TF-IDF weighting. (<em>features_news</em>) [1] - A corpus of tweets reporting news for TF-IDF weighting. (<em>features_tweets)</em> [1] - A S-BERT model [2] that uses <em>distiluse-base-multilingual-cased-v1 </em>(called <em>features_use</em>) [3] - A S-BERT model [2] that uses <em>paraphrase-multilingual-mpnet-base-v2 </em>(called <em>features_mpnet</em>) [4] <strong>References:</strong> [1]: Guillaume Bernard. (2022). Resources to compute TF-IDF weightings on press articles and tweets (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6610406 [2]: Reimers, Nils, et Iryna Gurevych. 2019. « Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks ». In <em>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)</em>, 3982‑92. Hong Kong, China: Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1410. [3]: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1 [4]: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
DOI: 10.5281/zenodo.6630404
title: CoAID dataset with multiple extracted features (both sparse and dense)

description: This is a publication of the CoAID dataset originaly dedicated to fake news detection. We changed here the purpose of this dataset in order to use it in the context of event tracking in press documents. Cui, Limeng, et Dongwon Lee. 2020. « CoAID: COVID-19 Healthcare Misinformation Dataset ». <em>ArXiv:2006.00885 [Cs]</em>, novembre. http://arxiv.org/abs/2006.00885. In this dataset, we provide multiple features extracted from the text itself. <strong>Please note the text is missing from the dataset published in the CSV format for copyright reasons. You can download the original datasets and manually add the missing texts from the original publications.</strong> Features are extracted using: - A corpus of reference articles in multiple languages languages for TF-IDF weighting. (<em>features_news</em>) [1] - A corpus of tweets reporting news for TF-IDF weighting. (<em>features_tweets)</em> [1] - A S-BERT model [2] that uses <em>distiluse-base-multilingual-cased-v1 </em>(called <em>features_use</em>) [3] - A S-BERT model [2] that uses <em>paraphrase-multilingual-mpnet-base-v2 </em>(called <em>features_mpnet</em>) [4] <strong>References:</strong> [1]: Guillaume Bernard. (2022). Resources to compute TF-IDF weightings on press articles and tweets (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6610406 [2]: Reimers, Nils, et Iryna Gurevych. 2019. « Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks ». In <em>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)</em>, 3982‑92. Hong Kong, China: Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1410. [3]: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1 [4]: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
DOI: 10.5281/zenodo.3551343
title: Sample data from trench sediments and rocks

description: The data of glycerol dialkyl glycerol tetraether (GDGT) membrane lipids in sediments and rocks of the Mariana and Yap Trench, northwest Pacific Ocean.
DOI: 10.5281/zenodo.5702372
title: A sampling dataset of canopy cover across Daxing'anling forests at 30 m using UAV visible imagery

description: The sampling dataset of canopy cover across Daxing’anling forests for the year 2018 contained 77 sampling sites, and each of samplings was 720 m * 720 m with 30 m resolutions. The dataset was produced based on high-resolution UAV visible images. First, the two types of backgrounds, i.e., shaded gaps and sunlit gaps, was detected using the spectral information of DOM and structural analysis of DSM, respectively; Secondly, the DSM was inverted and segmented by watershed method, and tree crowns was mosaics of segmentations excluding the identified two types of backgrounds and other gap pixels located within segmentations, and the canopy cover was the ratio of tree crowns to that of a forest stand.
DOI: 10.5281/zenodo.854656
title: Health Campus Studies

description: Cross sectionnal studies were conducted in 2007 and 2015 among nursing, medical, pharmacy, and physiotherapy students (Rouen, France).

The objectives were to assess the changes in health risk factors among healthcare students between 2007 and 2015, and to identify specific health behaviors according to the curriculum of healthcare students
DOI: 10.5281/zenodo.3474070
title: Halal Certification Data from 7 Halal Certification Bodies

description: Halal Certification Data from the following institutions: a) Jabatan Kemajuan Islam Malaysia (JAKIM).<br> b) Emirates Authority for Standardization and Metrology (EASM).<br> c) Muslim Consumer Group (MCG).<br> d) Supreme Islamic Council of Halal Meat in Australia Inc (SICHMA).<br> e) Taiwan Halal Integrity Development Association (THIDA).<br> f) South African National Halaal Authority (SANHA).<br> g) The Islamic Food and Nutrition Council of Canada (IFANCC).
DOI: 10.5281/zenodo.3256275
title: Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018, IMERGE, CHELSA Climate and WorldClim

description: Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018 (https://doi.org/10.5281/zenodo.2615278). Downscaled to 1 km resolution using gdalwarp (cubic splines) and combined with WorldClim (http://biogeo.ucdavis.edu/data/worldclim/v2.0/), CHELSA Climate (https://www.wsl.ch/lud/chelsa/data/climatologies/prec/) and IMERGE monthly (ftp://jsimpson.pps.eosdis.nasa.gov/NRTPUB/imerg/gis/ see files e.g. "3B-MO-L.GIS.IMERG.20180601.V05B.tif") products. Final values are estimated as a weighted average between the four precipitation data sources; 3x higher weight is given to the SM2RAIN-ASCAT data since it assumed to be the most accurate. Processing steps are available <strong>here</strong>. Antarctica is not included. To access and visualize maps use: <strong>https://openlandmap.org</strong> If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, precipitation = variable: precipitation, sm2rain.oct = determination method: SM2RAIN-ASCAT long-term average values for October, m = mean value, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2007..2018 = time reference: from 2007 to 2018, v0.2 = version number: 0.2,
description: {"references": ["Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Sch\u00fcller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture. submitted to Earth System Science Data.", "Karger, D. N., Conrad, O., B\u00f6hner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific data, 4, 170122.", "Huffman, G. J., D. T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, and P. Xie, (2014). NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD). https://storm- pps.gsfc.nasa.gov/storm/IMERG_ATBD_V4.pdf", "Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: new 1\u2010km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315."]}
DOI: 10.5281/zenodo.4729047
title: Monthly average satellite-estimated dataset of Lake Taihu's dissolved carbon dioxide concentration

description: In this dataset, we used the MODIS-derived chlorophyll-<em>a</em> concentration, lake surface temperature, diffuse attenuation coefficient of photosynthetically active radiation, and photosynthetically active radiation to estimate daily dissolved CO<sub>2</sub> concentrations of Lake Taihu (the coefficient of determination <em>R</em><sup>2</sup>=0.84, root mean square error<em> RMSE</em>=11.81 μmol L<sup>-1</sup>, unbiased percent difference<em> UPD</em>=22.46%). Then the daily CO<sub>2</sub> concentrations were averaged on a monthly scale to obtain the monthly average satellite-estimated dataset of Lake Taihu’s dissolved CO<sub>2</sub> concentration from July 2002 to December 2018. The uncertainty assessment results of the product show that under the influence of all input variables, the monthly CO<sub>2</sub> concentration product would overestimate about 30%. The differences between CO<sub>2</sub> concentrations of pixel-sample matchups were small in total (Root mean standard error <em>RMSE</em> = 12.83 μmol L<sup>-1</sup>, non-bias percentage deviation <em>UPD</em> = 24.03%). The annual average of CO<sub>2</sub> concentrations estimated by field observation and MODIS were consistent with each other in different regions of Lake Taihu (Root mean standard error <em>RMSE</em> &lt; 13.24 μmol L<sup>-1</sup>, non-bias percentage deviation <em>UPD</em> &lt; 25.82%). Based on the monthly average dataset, the CO<sub>2</sub> concentrations of Lake Taihu showed significant seasonal dynamics, which were was low in summer and autumn (Jun.-Nov.) and eastern region, and high in winter and spring (Dec.-May) and western region. Besides, the annual average CO<sub>2</sub> concentrations showed a significant declining trend (0.80 μmol L<sup>-1</sup> yr<sup>-1</sup>, <em>p</em> &lt;0.01). This monthly average dataset corresponds to the time scale of traditional limnological and ecological observations, which is suitable for comparison and analysis with traditional field datasets. Besides, the satellite dataset provides more spatial details of dissolved CO<sub>2</sub>. It is very enlightening for better understanding of the biogeochemical process associated with CO<sub>2</sub> in Lake Taihu. We believed this dataset would be very worth promoting to all researchers focusing on Lake Taihu.
description: For open scientific research.
DOI: 10.5281/zenodo.3938720
title: Galactic Plane Infrared Polarization Survey: Data Release 4

description: The Galactic Plane Infrared Polarization Survey (GPIPS) used the Mimir near-infrared instrument to survey stellar linear polarization in the H-band (1.6 microns) from Galactic longitude 18 to 56 degrees and latitudes -1 to +1 degrees as 3,237 individual pointings of the 10x10 arcmin field of view of the instrument. This file presents values and uncertainties for Mimir H-band photometry and linear polarimetry for over 13 million stars across this portion of the northern Milky Way. Each of the 13,861,329 stars represented in the file has new H-band photometry reported. Of these, 8,486,028 have linear polarimetry reported. In addition, matching Gaia, 2MASS, GLIMPSE, and WISE matching photometry, parallax, and proper motion values are listed for the tabulated stars. Details regarding the data, data processing, and contents of the file contents may be found in the Astrophysical Journal Supplements article Clemens et al. (2020; DOI 10.3847/1538-4365/ab9f30).
description: The GPIPS project has been made possible by grants AST 06-07500, 09-07790, 14-12269, and 18-14531 from NSF/MPS to Boston University. v1.1 updates GAIA DR2 designations and g-band uncertainties.
DOI: 10.5281/zenodo.7711054
title: Cardiorespiratory polysomnography recordings of neonates with Robin sequence

description: The dataset consists of 19 whole night recordings of neonates that were obtained using cardiorespiratory polysomnography. The recordings were performed at the Department of Neonatology at Tübingen University Hospital between May 2020 and April 2021. Each recording (.edf file) is accompanied by an annotation file (.txt file) that contains time timestamps for physiological events of interest (Apneas, Hypopneas, Hypoxias, Movement).
DOI: 10.1594/pangaea.854899
title: Daily polynya area from passive microwave satellite sensors SMMR, SSMI, and SSMIS in the North Water polynya region in 1993/1994
DOI: 10.5281/zenodo.6476482
title: Original Video Dataset

description: Since news speakers and journalists tend to be targets of video manipulation, this dataset consists of 300 short videos of news speakers and journalists of various backgrounds. All of the videos are completely pristine (unaltered).
DOI: 10.5281/zenodo.7641889
title: Wind-driven hydrodynamic characteristics of Lake Taihu, a large shallow lake in China

description: Measured hydrological data of Lake Taihu in 2017.
DOI: 10.5281/zenodo.3822313
title: Isoprene in the Southern Ocean & remote sensed variables

description: <pre>%%%%%% Variables' names contained in "rodriguezrosetal_2020_isorems_data.csv" %%%%%% "id" = source of the data ("peg" = PEGASO cruise, "ace" = ACE Expedition, "pml" = ANDREXII, "ooki" = Ooki et al. 2015, "hack" = Hackemberg et al. 2017) "solar_time" = solar time estimated with solaR package on R. "month" = month of the year. "iso_pm" = Isoprene concentration (pM) "chla_fluo" = Chlorophyll-a (fluorometric) "chla_matchup" = Chlorophyll-a (MODIS Aqua) "sst_matchup" = Sea Surface Temperature (MODIS Aqua) "zeu_matchup" = Depth of the Euphotic Layer (MODIS Aqua) "poc_matchup" = Particulate Organic Carbon (MODIS Aqua) "pic_matchup" = Particulate Inorganic Carbon (MODIS Aqua) "mld_matchup" = Mixing Layer Depth (Holte et al. 2017) "par_matchup" = PAR radiation (MODIS Aqua) "lat" = Latitude (decimal degrees) "lon" = Longitude (decimal degrees)</pre>
DOI: 10.5281/zenodo.6864797
title: Deep Learning-based Method for Automatic Resolution of GC-MS Data from Complex Samples

description: 气相色谱-质谱;多元曲线分辨率
DOI: 10.5281/zenodo.5702373
title: A sampling dataset of canopy cover across Daxing'anling forests at 30 m using UAV visible imagery

description: The sampling dataset of canopy cover across Daxing’anling forests for the year 2018 contained 77 sampling sites, and each of samplings was 720 m * 720 m with 30 m resolutions. The dataset was produced based on high-resolution UAV visible images. First, the two types of backgrounds, i.e., shaded gaps and sunlit gaps, was detected using the spectral information of DOM and structural analysis of DSM, respectively; Secondly, the DSM was inverted and segmented by watershed method, and tree crowns was mosaics of segmentations excluding the identified two types of backgrounds and other gap pixels located within segmentations, and the canopy cover was the ratio of tree crowns to that of a forest stand.
DOI: 10.5281/zenodo.6000556
title: mushrooms

description: Dataset mushrooms