cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5h217
title: MassIVE MSV000086978 - Myeloid PD-L1 Promotes Osteoclastogenesis and Cancer Bone Metastasis
title: Sample description: Anti-PD-L1 co-immunoprecipitation samples from cultured wild-type, PD-L1-VavCre or PD-L1-LysMCre bone marrow cells. Samples are: KO-VavCre-1 (775112) v.s. WT-1 (775113); KO-LysMCre-2 (775114) v.s. WT-2 (775115). Among these samples, KO-VavCre-1 and KO-LysMCre-2 are the respective blank controls (from knockout mice). Three 10-cm plates of bone marrow cells from each genotype (wild-type or PD-L1-VavCre, and wild-type or PD-L1-LysMCre) of 2-month-old male littermate mice at a density of 2.8 * 107 cells/plate were cultured in the presence of 40 ng/mL of mouse M-CSF for 3 days. Cells were washed with PBS and resuspend in lysis buffer (50 mM Tris pH 7.5, 150 mM NaCl, 1% NP-40, 1 mM PMSF, 1x protease inhibitor cocktail) for 4 hours at 4C. The lysate was centrifuged at 12,000 g for 10 min. The supernatant was mixed with 2 micro G of anti-PD-L1 antibody and incubated for overnight at 4C. Protein A/G agarose (Santa Cruz) was added and incubated for 2 hours at 4C. Agarose was washed with lysis buffer for four times. The samples were separated in SDS-PAGE gel (10-mm length per lane). Coomassie blue stained gel slices were analyzed by mass spectrometry. Samples were digested overnight with trypsin (Pierce) following reduction and alkylation with DTT and iodoacetamide (Sigma-Aldrich). The samples then underwent solid-phase extraction cleanup with an Oasis HLB plate (Waters) and were subsequently dried and reconstituted into 10 microL of 2% ACN, 0.1% TFA. 2 microL of these samples were injected onto a QExactive HF mass spectrometer coupled to an Ultimate 3000 RSLC-Nano liquid chromatography system. Samples were injected onto a 75 micro M i.d., 15-cm long EasySpray column (Thermo) and eluted with a gradient from 0-28% buffer B over 90 min with a flow rate of 250 nL/min. Buffer A contained 2% (v/v) ACN and 0.1% formic acid in water, and buffer B contained 80% (v/v) ACN, 10% (v/v) trifluoroethanol, and 0.1% formic acid in water. The mass spectrometer operated in positive ion mode with a source voltage of 2.2 kV and an ion transfer tube temperature of 275 C. MS scans were acquired at 120,000 resolution in the Orbitrap and up to 20 MS/MS spectra were obtained for each full spectrum acquired using higher-energy collisional dissociation (HCD) for ions with charges 2-8. Dynamic exclusion was set for 20 second after an ion was selected for fragmentation.
DOI: 10.6084/m9.figshare.13892975
title: Neotropic Cormorant (<i>Phalacrocorax brasilianus</i>) counts on lighting poles and telephone cables, and physical variables related to their distribution along a coastal highway in Lima, Peru

description: This dataset was used in: Lozano-Sanllehi S, Zavalaga CB (2021) Nonrandom spatial distribution of Neotropic Cormorants (<i>Phalacrocorax brasilianus</i>) along a coastal highway in Lima, Peru. PLoS ONE 16(3): e0242835. https://doi.org/10.1371/journal.pone.0242835<br>Neotropic Cormorants (<i>Phalacrocorax brasilianus</i>) are common seabirds along the Peruvian coast. Hundreds of these birds rest on lighting poles and telephone cables along a highway in the coastal strip of the city of Lima, Peru, contributing loads of guano to areas of high levels of human activity. This research evaluated the spatial distribution and temporal variation of the cormorants in this highway, and examined the influence of physical variables in their spatial distribution. Based on the results, mitigation proposals for the environmental problem caused by their excreta were posed. This dataset contains fortnightly or monthly surveys performed from July 2018 to March 2020 in the highway. At each survey, cormorants were counted per lighting pole and adjacent telephone cables (collectively, "pole-cable") at four count hours (0600 h, 1000 h, 1400 h and 1800 h). It also contains six physical variables of both the coast and the adjacent marine area.<br> <b><i>"Neot_cormo_counts_and_variables" file:</i></b> <b>- date:</b> date of survey. <b>- poleID:</b> code of each unit of count (pole-cable). <b>- coord_X:</b> UTM-18S X coordinate of the pole. <b>- coord_Y:</b> UTM-18S Y coordinate of the pole. <b>- district:</b> district in which the pole is located. BAR, Barranco; CHO, Chorrillos; MIR, Miraflores; SIS, San Isidro; MAG, Magdalena del Mar; SMI, San Miguel. <b>- count_hour:</b> hour of count during the day. six, 0600 h; ten, 1000 h; fourteen, 1400 h; eighteen, 1800 h. <b>- cormorants:</b> number of Neotropic Cormorants. <b>- DS:</b> Distance from the pole-cables to the shoreline (m). <b>- DSZ:</b> Distance from the pole-cables to the surf zone (m). <b>- DG:</b> Distance from the pole-cables to the nearest groyne (m). <b>- PG:</b> Perimeter of the nearest groyne to the pole-cable (m). <b>- D7:</b> Distance from the shoreline to the 7 m isobath (m). <i><b>Because transparency of seawater (sixth variable) data were measured by section of the highway and not by pole-cable, its structure is different compared to the other variables. Thus, in "Neot_cormo_transparency" file:</b></i> <b>- date:</b> date of survey. <b>- section:</b> section of the highway in front of which the transparency of seawater was measured. <b>- pres_cormo: </b>presence or absence of cormorants on each highway section. 0, absence; 1, presence. <b>- transect_side:</b> side of the transect (perpendicular to the shoreline) used to measure transparency of seawater. S, shoreline side; M, middle of the transect; O, offshore side. <b>- T: </b>Transparency of seawater (cm).
DOI: 10.6084/m9.figshare.13892975.v1
title: Neotropic Cormorant (<i>Phalacrocorax brasilianus</i>) counts on lighting poles and telephone cables, and physical variables related to their distribution along a coastal highway in Lima, Peru

description: This dataset was used in: Lozano-Sanllehi S, Zavalaga CB (2021) Nonrandom spatial distribution of Neotropic Cormorants (<i>Phalacrocorax brasilianus</i>) along a coastal highway in Lima, Peru. PLoS ONE 16(3): e0242835. https://doi.org/10.1371/journal.pone.0242835<br>Neotropic Cormorants (<i>Phalacrocorax brasilianus</i>) are common seabirds along the Peruvian coast. Hundreds of these birds rest on lighting poles and telephone cables along a highway in the coastal strip of the city of Lima, Peru, contributing loads of guano to areas of high levels of human activity. This research evaluated the spatial distribution and temporal variation of the cormorants in this highway, and examined the influence of physical variables in their spatial distribution. Based on the results, mitigation proposals for the environmental problem caused by their excreta were posed. This dataset contains fortnightly or monthly surveys performed from July 2018 to March 2020 in the highway. At each survey, cormorants were counted per lighting pole and adjacent telephone cables (collectively, "pole-cable") at four count hours (0600 h, 1000 h, 1400 h and 1800 h). It also contains six physical variables of both the coast and the adjacent marine area.<br> <b><i>"Neot_cormo_counts_and_variables" file:</i></b> <b>- date:</b> date of survey. <b>- poleID:</b> code of each unit of count (pole-cable). <b>- coord_X:</b> UTM-18S X coordinate of the pole. <b>- coord_Y:</b> UTM-18S Y coordinate of the pole. <b>- district:</b> district in which the pole is located. BAR, Barranco; CHO, Chorrillos; MIR, Miraflores; SIS, San Isidro; MAG, Magdalena del Mar; SMI, San Miguel. <b>- count_hour:</b> hour of count during the day. six, 0600 h; ten, 1000 h; fourteen, 1400 h; eighteen, 1800 h. <b>- cormorants:</b> number of Neotropic Cormorants. <b>- DS:</b> Distance from the pole-cables to the shoreline (m). <b>- DSZ:</b> Distance from the pole-cables to the surf zone (m). <b>- DG:</b> Distance from the pole-cables to the nearest groyne (m). <b>- PG:</b> Perimeter of the nearest groyne to the pole-cable (m). <b>- D7:</b> Distance from the shoreline to the 7 m isobath (m). <i><b>Because transparency of seawater (sixth variable) data were measured by section of the highway and not by pole-cable, its structure is different compared to the other variables. Thus, in "Neot_cormo_transparency" file:</b></i> <b>- date:</b> date of survey. <b>- section:</b> section of the highway in front of which the transparency of seawater was measured. <b>- pres_cormo: </b>presence or absence of cormorants on each highway section. 0, absence; 1, presence. <b>- transect_side:</b> side of the transect (perpendicular to the shoreline) used to measure transparency of seawater. S, shoreline side; M, middle of the transect; O, offshore side. <b>- T: </b>Transparency of seawater (cm).
DOI: 10.17632/zbr45fcj8r.1
title: Data for: Chemical and boron isotope compositions of tourmaline at the Baiyanghe Be-U deposit, northwest China: Implications for Be-U mineralization

description: Chemical and boron isotope compositions of tourmaline
DOI: 10.17632/xwhw956nyx.1
title: Data for: Late Cenomanian Age and OAE2 Deposition in the Western Narmada Valley, India

description: Mercury, total organic carbon (TOC), and carbon and oxygen stable isotopic data for "Late Cenomanian Age and OAE2 Deposition in the Western Narmada Valley, India" by Keller et al.
DOI: 10.6084/m9.figshare.14150291
title: trajectory data and road network data

description: We propose trajectory compression mode constrained by network. There are some data to reproduce our research. The trajectory data is Beijing taxi trajectory from Microsoft Research Asia, and the road network data is Beijing road network from OpenStreetMap. <br>
DOI: 10.6084/m9.figshare.13633664.v1
title: Untitled Item

description: supplemeatary
DOI: 10.26180/5c32bf1b041ea
title: Antarctica’s wilderness fails to capture continent’s biodiversity

description: Although the entirety of Antarctica is often considered well-protected, increasing and diversifying human activity across the continent demonstrates that this is not the case. The extent of Antarctica’s wilderness remains unknown, despite the fact that the protection of wilderness values and inviolate areas (areas kept free from human interference) is enshrined in Antarctic Law (Protocol on Environmental Protection to the Antarctic Treaty, Art. 3, para.1 and Annex V).<br><br>We assembled a comprehensive record of ground-based human activity records (~ 2.7 million records; see meta data file), sourced from publications and scientific databases, spanning 1819 to 2018, and used it to identify wilderness areas and their representation of biodiversity.<br>Here, we publish the complete historical human activity record (spatial points) used to identify Negligibly Impacted Antarctic Wilderness areas and Inviolate Antarctic Wilderness areas. We also publish the wilderness grids (rasters and spatial polygons) of the Negligibly Impacted Antarctic Wilderness and Inviolate Antarctic Wilderness areas.<br><br>Supplementary data for: Leihy, R. I., Coetzee, B. W. T., Morgan, F., Raymond, B., Shaw, J. D., Terauds, A., Bastmeijer, K. & S. L. Chown (2020). Antarctica's wilderness fails to capture continent's biodiversity. Nature, https://www.nature.com/articles/s41586-020-2506-3<br><br><br>Temporal coverage:01-01-1819 (Start Date)31-12-2018 (End Date)<br>Spatial coverage: Latitude: -60 (Northernmost) to -90 (Southernmost)Longitude: -180 (Westernmost) to 180 (Easternmost)
DOI: 10.14457/ku.res.2019.6
title: ความเต็มใจจ่ายค่าขนส่งจากการเลือกซื้อสินค้าอุปโภคบริโภคผ่านช่องทางออนไลน์ในเขตกรุงเทพมหานคร กรณีศึกษาห้างเทสโก้ โลตัส (เรื่องเต็มการประชุมทางวิชาการของมหาวิทยาลัยเกษตรศาสตร์ ครั้งที่ 57: สาขาศึกษาศาสตร์, สาขาเศรษฐศาสตร์และบริหารธุรกิจ, สาขามนุษยศาสตร์และสังคมศาสตร์)
DOI: 10.15784/601435
title: TDR and weather data

description: This dataset contains dive records from 18 Weddell seal pups collected during 2017 and 2019. Additionally, there are weather data taken during the same time period from a temporary weather station at Turtle Rock.
DOI: 10.5281/zenodo.4568154
title: Spatial scaling of gross primary productivity over sixteen mountainous watersheds using vegetation heterogeneity and surface topography

description: Spatial scaling of gross primary productivity over sixteen mountainous watersheds using vegetation heterogeneity and surface topography
DOI: 10.5281/zenodo.4568153
title: Spatial scaling of gross primary productivity over sixteen mountainous watersheds using vegetation heterogeneity and surface topography

description: Spatial scaling of gross primary productivity over sixteen mountainous watersheds using vegetation heterogeneity and surface topography
DOI: 10.5281/zenodo.4573103
title: Complexity Science Hub COVID-19 Control Strategies List (CCCSL)

description: Started in mid-March 2020, our project aims to generate a comprehensive structured dataset on government responses to COVID-19, including the respective time schedules of their implementation. The dataset is readily usable for modelling and machine learning analyses and exhibits a great analytical flexibility.<br> We also provide user-friendly documentation and materials (codes, visualisation interface, and library of sources) along with the dataset, which allow a maximum understanding of the data and promote its use among non-experts.
description: EOSCsecretariat.eu has received funding from the European Union's Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement number 831644.
DOI: 10.5281/zenodo.4573102
title: Complexity Science Hub COVID-19 Control Strategies List (CCCSL)

description: Started in mid-March 2020, our project aims to generate a comprehensive structured dataset on government responses to COVID-19, including the respective time schedules of their implementation. The dataset is readily usable for modelling and machine learning analyses and exhibits a great analytical flexibility.<br> We also provide user-friendly documentation and materials (codes, visualisation interface, and library of sources) along with the dataset, which allow a maximum understanding of the data and promote its use among non-experts.
description: EOSCsecretariat.eu has received funding from the European Union's Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement number 831644.
DOI: 10.6084/m9.figshare.14150815.v1
title: Additional file 1 of High oil accumulation in tuber of yellow nutsedge compared to purple nutsedge is associated with more abundant expression of genes involved in fatty acid synthesis and triacylglycerol storage

description: Additional file 1: Table S1. Summary of transcriptome data sets, assembly and annotation from tuber samples of yellow and purple nutsedge. Table S2. Annotation and expression levels for genes associated with carbohydrate metabolism. Table S3. Annotation and expression levels for genes associated with lipid metabolism. Table S4. Selected genes in tight transcriptional coordination with ABI3 and WRI1. Table S5. Primer pairs of selected genes used for qRT-PCR.
DOI: 10.6084/m9.figshare.14150815
title: Additional file 1 of High oil accumulation in tuber of yellow nutsedge compared to purple nutsedge is associated with more abundant expression of genes involved in fatty acid synthesis and triacylglycerol storage

description: Additional file 1: Table S1. Summary of transcriptome data sets, assembly and annotation from tuber samples of yellow and purple nutsedge. Table S2. Annotation and expression levels for genes associated with carbohydrate metabolism. Table S3. Annotation and expression levels for genes associated with lipid metabolism. Table S4. Selected genes in tight transcriptional coordination with ABI3 and WRI1. Table S5. Primer pairs of selected genes used for qRT-PCR.
DOI: 10.6084/m9.figshare.14150887.v1
title: Additional file 1 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 1. Complete alignment metrics after mapping with TopHat.
DOI: 10.6084/m9.figshare.14150890
title: Additional file 2 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 2. Differential expression analyses results of all datasets after exposure to retinoic acid.
DOI: 10.6084/m9.figshare.14150887
title: Additional file 1 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 1. Complete alignment metrics after mapping with TopHat.
DOI: 10.6084/m9.figshare.14150896
title: Additional file 4 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 4. Common differentially expressed genes among all datasets after exposure to retinoic acid.
DOI: 10.6084/m9.figshare.14150899
title: Additional file 5 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 5. Results of clusterProfiler analyses of differentially expressed genes from the meta-analysis and LMH cells exposed to retinoic acid and retinol for 1 h and 4 h.
DOI: 10.6084/m9.figshare.14150905.v1
title: Additional file 7 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 7. Common differentially expressed genes after exposure of LMH cells to retinoic acid and retinol for 1 h and 4 h.
DOI: 10.6084/m9.figshare.14150896.v1
title: Additional file 4 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 4. Common differentially expressed genes among all datasets after exposure to retinoic acid.
DOI: 10.6084/m9.figshare.14150905
title: Additional file 7 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 7. Common differentially expressed genes after exposure of LMH cells to retinoic acid and retinol for 1 h and 4 h.
DOI: 10.6084/m9.figshare.14150899.v1
title: Additional file 5 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 5. Results of clusterProfiler analyses of differentially expressed genes from the meta-analysis and LMH cells exposed to retinoic acid and retinol for 1 h and 4 h.
DOI: 10.6084/m9.figshare.14150908.v1
title: Additional file 8 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 8. The numbers of RAREs in the vicinity of DE genes (up to 10 kb upstream of transcript start and 10 kb downstream of transcript end) in LMH cells after exposure to retinoic acid and retinol for 1 h and 4 h. LFCs for each gene and treatment are listed and results with a p-adj
DOI: 10.6084/m9.figshare.14150908
title: Additional file 8 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 8. The numbers of RAREs in the vicinity of DE genes (up to 10 kb upstream of transcript start and 10 kb downstream of transcript end) in LMH cells after exposure to retinoic acid and retinol for 1 h and 4 h. LFCs for each gene and treatment are listed and results with a p-adj
DOI: 10.6084/m9.figshare.14150890.v1
title: Additional file 2 of Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells

description: Additional file 2. Differential expression analyses results of all datasets after exposure to retinoic acid.
DOI: 10.6084/m9.figshare.14150920
title: Additional file 3 of Global prevalence of metabolic syndrome among patients with type I diabetes mellitus: a systematic review and meta-analysis

description: Additional file 3. Extracted data
DOI: 10.6084/m9.figshare.14150923
title: Additional file 4 of Global prevalence of metabolic syndrome among patients with type I diabetes mellitus: a systematic review and meta-analysis

description: Additional file 4. Quality assessment score.
DOI: 10.6084/m9.figshare.14150920.v1
title: Additional file 3 of Global prevalence of metabolic syndrome among patients with type I diabetes mellitus: a systematic review and meta-analysis

description: Additional file 3. Extracted data
DOI: 10.6084/m9.figshare.14150923.v1
title: Additional file 4 of Global prevalence of metabolic syndrome among patients with type I diabetes mellitus: a systematic review and meta-analysis

description: Additional file 4. Quality assessment score.
DOI: 10.6084/m9.figshare.14150929
title: Additional file 2 of Characteristics of interval gastric neoplasms detected within two years after negative screening endoscopy among Koreans

description: Additional file 2 Table S1. Baseline and pathologic characteristics of interval gastric cancer. Table S2. Baseline and pathologic characteristics of interval gastric neoplasms detected since 2010.
DOI: 10.6084/m9.figshare.14150929.v1
title: Additional file 2 of Characteristics of interval gastric neoplasms detected within two years after negative screening endoscopy among Koreans

description: Additional file 2 Table S1. Baseline and pathologic characteristics of interval gastric cancer. Table S2. Baseline and pathologic characteristics of interval gastric neoplasms detected since 2010.
DOI: 10.6084/m9.figshare.14150944
title: Additional file 1 of Elevational distribution ranges of vascular plant species in the Baekdudaegan mountain range, South Korea

description: Additional file 1: Table S1. Elevational distribution ranges of vascular plant species in the six national parks of the Baekdudaegan mountain range, South Korea. SR Seoraksan National Park, OD Odaesan National Park, TB Taebaeksan National Park, SB Sobaeksan National Park, DG Deogyusan National Park, JR Jirisan National Park.
DOI: 10.6084/m9.figshare.14150944.v1
title: Additional file 1 of Elevational distribution ranges of vascular plant species in the Baekdudaegan mountain range, South Korea

description: Additional file 1: Table S1. Elevational distribution ranges of vascular plant species in the six national parks of the Baekdudaegan mountain range, South Korea. SR Seoraksan National Park, OD Odaesan National Park, TB Taebaeksan National Park, SB Sobaeksan National Park, DG Deogyusan National Park, JR Jirisan National Park.