cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5bz61k31
title: MassIVE MSV000093296 - Characterization of molecular factors involved in plant metabolic and morphological reprogramming during gall formation
title: Understanding how plant tissue and organs may be transformed into novel structures by other organisms provides a unique opportunity to study the molecular processes that dictate facets of plant anatomy and morphology. Certain groups of wasps have evolved the ability to transform plant tissues into ornate structures called galls, which provide shelter and nutrition for their larvae. However, the exact mechanism for how gall wasps remodel the plant’s physical structure and metabolism is still largely unknown. At their core, galls alter the morphology and repurpose the function of plant tissue. One common trait that unites all galls is the distinct cellular reprogramming and tumor-like growth that is necessary to produce a gall. There are over 1,400 gall wasps from the family Cynipidae, resulting in a wide diversity of gall structures, shapes, and colors that have been described. Thus, discovering the core molecular determinants that dictate the radical transformation of plant cells will help reveal principles of how plant morphology and function can be rewired by external factors. Little molecular work has been done to elucidate the factors (i.e., genes, proteins, or small molecules) that may be involved in this dramatic repurposing and dedifferentiation of plant tissue. We plan to utilize modern -omics approaches to investigate and identify the molecular factors that underlie the initiation and development of plant galls. The work (proposal:https://doi.org/10.46936/10.25585/60000461) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
DOI: 10.15468/akk8tc
title: Colección de helechos de la FML

description: Plantas colectadas en el continente americano desde Méjico y Sud América por coleccionistas de diversas nacionalidades entre 1982 y 1993. La colección es curada actualmente por la Dra. Marcela A. Hernández en el Herbario Criptogámico de la Fundación Miguel Lillo
DOI: 10.15468/3uefmn
title: Belenois butterfly specimens at Museum Zoologi Bogor, Indonesia

description: Dataset of Belenois butterfly specimens deposited at Museum Zoologi Bogor, Indonesia
DOI: 10.25345/c57659r9k
title: MassIVE MSV000093297 - 20231103 DDA analysis of various rubber products with Agilent q-TOF
title: DDA analysis of 19 catories of rubber or elastomer consumer products.
DOI: 10.23719/1529092
title: Sentinel-1 and Sentinel-2 based frequency of open and vegetated water across the United States (2017-2021)

description: High-frequency observations of surface water at fine spatial scales are critical to effectively manage aquatic habitat, flood risk and water quality. We developed inundation algorithms for Sentinel-1 and Sentinel-2 across 12 sites within the conterminous United States (CONUS) covering >536,000 km2 and representing diverse hydrologic and vegetation landscapes. These algorithms were trained on data from 13,412 points spread throughout the 12 sites. Each scene in the 5-year (2017-2021) time series was classified into open water, vegetated water, and non-water at 20 m resolution using variables not only from Sentinel-1 and Sentinel-2, but also variables derived from topographic and weather datasets. The Sentinel-1 model was developed distinct from the Sentinel-2 model to enable the two time series to be integrated into a single high-frequency time series, while open water and vegetated water were both mapped to retain mixed pixel inundation. Results were validated against 7,200 visually inspected points derived from WorldView and PlanetScope imagery. Classification accuracy for open water was high across the 5-year period, with an omission and commission error of only 3.1% and 0.9% for Sentinel-1 and 3.1% and 0.5% for Sentinel-2, respectively. Vegetated water accuracy was lower, as expected given that the class represents mixed pixels. Sentinel-2 showed higher accuracy (10.7% omission and 7.9% commission error) relative to Sentinel-1 (28.4% omission and 16.0% commission error). Our results demonstrated that Sentinel-1 and Sentinel-2 time series can be integrated to improve the temporal resolution when mapping open and vegetated waters, although sensor-specific differences, such as sensitivity to vegetation structure versus pixel color, complicate the data integration for subpixel, vegetated water compared with open water.
DOI: 10.5281/zenodo.10070630
title: Athens Socioeconomic Heat Vulnerability Index - Features and Index per region

description: Athens Socioeconomic Heat Vulnerability Index - Features and Index per region. Socioeconomic variables used and the composite vulnerability index per census block region of central Athens, 490 areas. All data is in percentage form [0-100] and the census block polygons are included.
DOI: 10.17909/kh9r-ym63
title: IRAS04302+2247 JWST

description: JWST NIRCam and MIRI imaging of IRAS04302+2247 JWST
DOI: 10.34740/kaggle/dsv/6877230
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/6877253
title: Daily Trending Youtube Videos (113 Countries)
DOI: 10.34740/kaggle/dsv/6877311
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.5281/zenodo.10070620
title: Data from "FICTURE: Scalable segmentation-free analysis of sub-micron resolution spatial transcriptomics"
DOI: 10.17909/1hzc-8k61
title: Dataset for METAL-Z: Measuring dust depletion in low metalicity dwarf galaxies 

description: The cycling of metals between interstellar gas and dust is a critical aspect of the baryon cycle of galaxies, yet our understanding of this process is limited. This study focuses on understanding dust depletion effects in the low metallicity regime (< 20% Zo) typical of cosmic noon. Using medium-resolution UV spectroscopy from the Cosmic Origins Spectrograph onboard the Hubble Space Telescope, gas-phase abundances and depletions of iron and sulfur were derived toward 18 sightlines in local dwarf galaxies IC 1613 and Sextans A. The results show that the depletion of Fe and S is consistent with that found in the Milky Way, LMC and SMC. The depletion level of Fe increases with gas column density, indicating dust growth in the interstellar medium (ISM). The level of Fe depletion decreases with decreasing metallicity, resulting in the fraction of iron in gas ranging from 3% in the MW to 9% in IC 1613 and ~19% in Sextans A. The dust-to-gas and dust-to-metal ratios (D/G, D/M) for these dwarf galaxies were estimated based on the MW relations between the depletion of Fe and other elements. The study finds that D/G decreases only slightly sub-linearly with metallicity, with D/M decreasing from 0.41 +/- 0.05 in the MW to 0.11 +/- 0.11 at 0.10 Zo (at log N(H) = 21 cm-2). The trend of D/G vs. metallicity using depletion in local systems is similar to that inferred in Damped Ly-alpha systems from abundance ratios but lies higher than the trend inferred from FIR measurements in nearby galaxies.
DOI: 10.6084/m9.figshare.24498718.v1
title: Author self-citations on COVID-19 research

description: These datasets provide raw data for the analysis of author self-citation on COVID-19 research in Scopus. Due to the large volume of results, the information in Scopus was cut to create two datasets. One them contains data of the publications of the top 160 authors, whereas the other contains data of authors with more than 120 in Scopus, making a total of 34 authors, referred as the most productive authors. These datasets were analyzed by SciVal.
DOI: 10.6084/m9.figshare.24498718
title: Author self-citations on COVID-19 research

description: These datasets provide raw data for the analysis of author self-citation on COVID-19 research in Scopus. Due to the large volume of results, the information in Scopus was cut to create two datasets. One them contains data of the publications of the top 160 authors, whereas the other contains data of authors with more than 120 in Scopus, making a total of 34 authors, referred as the most productive authors. These datasets were analyzed by SciVal.
DOI: 10.34740/kaggle/dsv/6877521
title: BBC News
DOI: 10.34740/kaggle/dsv/6877524
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.6084/m9.figshare.24466984
title: Life Course Adiposity and Non-alcoholic fatty liver disease: A Mendelian Randomization Study

description: Birthweight, childhood, and adult BMI have been indicated associated with the NAFLD, However, current studies have been influenced by confounding factors, and the independent role of these weight characteristics in NAFLD remains controversial.Therefore, it is necessary to use genetic methods to evaluate the genetic associations of birthweight, childhood and adult body mass index (BMI) on the NAFLD, and to determine whether birth weight and childhood obesity directly affects the risk of NAFLD independently of adult obesity.
DOI: 10.6084/m9.figshare.24466984.v3
title: Life Course Adiposity and Non-alcoholic fatty liver disease: A Mendelian Randomization Study

description: Birthweight, childhood, and adult BMI have been indicated associated with the NAFLD, However, current studies have been influenced by confounding factors, and the independent role of these weight characteristics in NAFLD remains controversial.Therefore, it is necessary to use genetic methods to evaluate the genetic associations of birthweight, childhood and adult body mass index (BMI) on the NAFLD, and to determine whether birth weight and childhood obesity directly affects the risk of NAFLD independently of adult obesity.
DOI: 10.6084/m9.figshare.24466984.v2
title: Life Course Adiposity and Non-alcoholic fatty liver disease: A Mendelian Randomization Study

description: Birthweight, childhood, and adult BMI have been indicated associated with the NAFLD, However, current studies have been influenced by confounding factors, and the independent role of these weight characteristics in NAFLD remains controversial.Therefore, it is necessary to use genetic methods to evaluate the genetic associations of birthweight, childhood and adult body mass index (BMI) on the NAFLD, and to determine whether birth weight and childhood obesity directly affects the risk of NAFLD independently of adult obesity.
DOI: 10.6084/m9.figshare.24492526.v1
title: Dataset associated with "Characterization of Novel Variosean Amoebae Isolated from Urban Sidewalk Cracks: 'Kanabo' and 'Parakanabo'''

description: 18SrDNA_phylogenetics.zipPhylogenomics.zipTranscriptomeAssemblies.zip<br>
DOI: 10.6084/m9.figshare.24492526
title: Dataset associated with "Characterization of Novel Variosean Amoebae Isolated from Urban Sidewalk Cracks: 'Kanabo' and 'Parakanabo'''

description: 18SrDNA_phylogenetics.zipPhylogenomics.zipTranscriptomeAssemblies.zip<br>
DOI: 10.6084/m9.figshare.24498955
title: Source Data For cisDynet.

description: Chromatin accessibility sequencing has been widely used for uncovering genetic regulatory mechanisms and inferring gene regulatory networks. However, effectively integrating large-scale chromatin accessibility datasets has posed a significant challenge. This is due to the lack of a comprehensive end-to-end solution, as many existing tools primarily emphasize data pre-processing and overlook downstream analyses. To bridge this gap, we have introduced cisDynet, a holistic solution that combines streamlined data pre-processing using Snakemake and R functions with advanced downstream analysis capabilities. cisDynet excels in conventional data analyses, encompassing peak statistics, peak annotation, differential analysis, motif enrichment analysis, and more. Additionally, it allows to perform sophisticated data exploration such as tissue-specific peak identification, time-course data fitting, integration of RNA-seq data to establish peak-to-gene associations, constructing regulatory networks, and conducting enrichment analysis of GWAS variants. As a proof of concept, we applied cisDynet to re-analyze the comprehensive ATAC-seq datasets across various tissues from the ENCODE project. The analysis successfully delineated tissue-specific open chromatin regions (OCRs), established connections between OCRs and target genes, and effectively linked these discoveries with 1,861 GWAS variants. Furthermore, cisDynet was instrumental in dissecting the time-course open chromatin data of mouse embryonic development, revealing the dynamic behavior of OCRs over time and identifying key transcription factors governing differentiation trajectories. In summary, cisDynet offers researchers a user-friendly solution that minimizes the need for extensive coding, ensures the reproducibility of results, and greatly simplifies the exploration of epigenomic data.
DOI: 10.6084/m9.figshare.21680372
title: The Role and Mechanism of Gut Microbiota in Male Erectile Dysfunction of rats

description: the datasets of the manuscript
DOI: 10.6084/m9.figshare.21680372.v3
title: The Role and Mechanism of Gut Microbiota in Male Erectile Dysfunction of rats

description: the datasets of the manuscript
DOI: 10.6084/m9.figshare.21680372.v2
title: The Role and Mechanism of Gut Microbiota in Male Erectile Dysfunction of rats

description: the datasets of the manuscript
DOI: 10.5519/qd.f7sota6x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1024 records)
DOI: 10.34740/kaggle/dsv/6877780
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.24499042
title: Calculated results for JCOPE-T-NEDO

description: Calculated results for JCOPE-T-NEDO
DOI: 10.5281/zenodo.10065215
title: Dataset of suicidal ideation texts in Brazilian Portuguese - Boamente System

description: We obtained non-clinical texts from tweets (user posts of the online social network Twitter). To find suicide-related tweets, we used the Twitter API to download tweets in a personalized way based on search terms associated with suicide. After different experiments to retrieve relevant texts, 5699 tweets were collected in May 2021. Each downloaded tweet had user-specific information (for example, user ID, timestamp, language, location, number of likes, etc.). Still, we kept only the post content (suicide-related texts) and discarded the additional data. Therefore, all texts were anonymized. 
After data collection, three psychologists were invited to perform the data annotation, in which they individually labeled each tweet. To avoid bias in the annotation process, we selected psychologists with different psychological approaches, namely cognitive behavioral theory, psychoanalytic theory, and humanistic theory. Professionals had to classify each tweet as negative for suicidal ideation (annotated as 0), or positive for suicidal ideation (annotated as 1). 
All tweets with at least one divergence between psychologists (n = 1513) were excluded, resulting in a dataset with 4186 instances. 398 duplicate tweets were excluded. The final dataset consists of 2691 instances labeled negative and 1097 labeled positive.
DOI: 10.5281/zenodo.10070747
title: Dataset of suicidal ideation texts in Brazilian Portuguese - Boamente System

description: We obtained non-clinical texts from tweets (user posts of the online social network Twitter). To find suicide-related tweets, we used the Twitter API to download tweets in a personalized way based on search terms associated with suicide. After different experiments to retrieve relevant texts, 5699 tweets were collected in May 2021. Each downloaded tweet had user-specific information (for example, user ID, timestamp, language, location, number of likes, etc.). Still, we kept only the post content (suicide-related texts) and discarded the additional data. Therefore, all texts were anonymized. 
After data collection, three psychologists were invited to perform the data annotation, in which they individually labeled each tweet. To avoid bias in the annotation process, we selected psychologists with different psychological approaches, namely cognitive behavioral theory, psychoanalytic theory, and humanistic theory. Professionals had to classify each tweet as negative for suicidal ideation (annotated as 0), or positive for suicidal ideation (annotated as 1). 
All tweets with at least one divergence between psychologists (n = 1513) were excluded, resulting in a dataset with 4186 instances. 398 duplicate tweets were excluded. The final dataset consists of 2691 instances labeled negative and 1097 labeled positive.
DOI: 10.57967/hf/1314
title: Aerial-Image-Cactis-Semantic-Segmentation-256x256
DOI: 10.6084/m9.figshare.24499015
title: <b>The Role of Gut Microbiota in Male Erectile Dysfunction of rats</b>

description: This paper focuses on the role of intestinal flora in ED rat models induced by high fat diet. To investigate the effect and mechanism of HFD-induced intestinal flora dysregulation on erectile function. We established rat models of HFD and examined the effects of HFD on erectile function and intestinal microflora in rats. Then, we established FMT rat models to detect the effects of FMT on erectile function and intestinal microbiota in rats, and detected the differences in metabolites of intestinal microbiota in rats by non-targeted metabolomics, and conducted KEGG pathway enrichment analysis for the differential metabolites. We found that intestinal microbiota disorder induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosa of the penis, and then lead to the occurrence of erectile dysfunction.Therefore, gut microbiome-based detection of ED may provide a non-invasive and robust approach to ED diagnosis. The characteristics of intestinal flora and metabolites provide a new hypothesis for the etiology, prevention and treatment of ED.
DOI: 10.6084/m9.figshare.24499015.v1
title: <b>The Role of Gut Microbiota in Male Erectile Dysfunction of rats</b>

description: This paper focuses on the role of intestinal flora in ED rat models induced by high fat diet. To investigate the effect and mechanism of HFD-induced intestinal flora dysregulation on erectile function. We established rat models of HFD and examined the effects of HFD on erectile function and intestinal microflora in rats. Then, we established FMT rat models to detect the effects of FMT on erectile function and intestinal microbiota in rats, and detected the differences in metabolites of intestinal microbiota in rats by non-targeted metabolomics, and conducted KEGG pathway enrichment analysis for the differential metabolites. We found that intestinal microbiota disorder induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosa of the penis, and then lead to the occurrence of erectile dysfunction.Therefore, gut microbiome-based detection of ED may provide a non-invasive and robust approach to ED diagnosis. The characteristics of intestinal flora and metabolites provide a new hypothesis for the etiology, prevention and treatment of ED.
DOI: 10.6084/m9.figshare.24495247
title: Input files for VASP and data for figures

description: Input files for VASP and data for figures for RuO2 and OsO2.
DOI: 10.6084/m9.figshare.24495247.v1
title: Input files for VASP and data for figures

description: Input files for VASP and data for figures for RuO2 and OsO2.
DOI: 10.6084/m9.figshare.24499135
title: <b>Rare </b><b>antinuclear antibody patterns</b>

description: The rare ANA patterns including: (AC-26) Nuclear mitotic apparatus protein (NUMA), (AC-25) Spindle fibers, (AC-14) Centromere Protein F (CENP-F), (AC-27) Midbody, (AC-13) Proliferating cell nuclear antigen (PCNA), (AC-6) Multiple nuclear dots,(AC-11/12)nuclear envelpoe,(AC-24) Centriole, cytoplasmatic [(AC-22) Golgi
DOI: 10.6084/m9.figshare.24499129.v2
title: Super-resolution reconstruction of structured illumination microscopy using deep-learning and sparse deconvolution

description: Super-resolution reconstruction of structured illumination microscopy using deep-learning and sparse deconvolution
DOI: 10.25582/data.2020-12.2107581/2172250
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2020-08.2036402/2172251
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-02.1949014/2172252
title: Data for EMSL Project 51301 from February 2020
DOI: 10.25582/data.2020-08.2045106/2172253
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2043073/2172256
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-11.2091099/2172257
title: Data for EMSL Project 51301 from November 2020
DOI: 10.25582/data.2020-08.2043399/2172258
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-02.1948773/2172259
title: Data for EMSL Project 51301 from February 2020
DOI: 10.25582/data.2020-08.2032920/2172260
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2032988/2172263
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2036393/2172264
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2033443/2172266
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2033237/2172269
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-12.2107929/2172270
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2020-12.2107850/2172271
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2020-02.1948525/2172277
title: Data for EMSL Project 51301 from February 2020
DOI: 10.25582/data.2020-08.2033259/2172278
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-12.2107824/2172279
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2021-03.2187228/2172280
title: Data for EMSL Project 51301 from March 2021
DOI: 10.25582/data.2020-08.2033014/2172281
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2021-03.2187487/2172285
title: Data for EMSL Project 51301 from March 2021
DOI: 10.25582/data.2020-08.2043447/2172286
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2033423/2172289
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2021-02.2145698/2172292
title: Data for EMSL Project 51301 from February 2021
DOI: 10.25582/data.2020-08.2032832/2172293
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2045036/2172294
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2033028/2172295
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2033022/2172296
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-09.2047334/2172297
title: Data for EMSL Project 51301 from September 2020
DOI: 10.25582/data.2020-08.2033457/2172298
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-12.2107834/2172300
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2020-08.2032806/2172301
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2033407/2172302
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-12.2107715/2172304
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2020-08.2032833/2172305
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-09.2046615/2172306
title: Data for EMSL Project 51301 from September 2020
DOI: 10.25582/data.2020-12.2107751/2172307
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2020-12.2107815/2172308
title: Data for EMSL Project 51301 from December 2020
DOI: 10.25582/data.2020-08.2033016/2172309
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2020-08.2032939/2172310
title: Data for EMSL Project 51301 from August 2020
DOI: 10.25582/data.2021-03.2187311/2172311
title: Data for EMSL Project 51301 from March 2021
DOI: 10.25582/data.2020-08.2033274/2172312
title: Data for EMSL Project 51301 from August 2020