cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5841420
title: Dataset_EUREKA

description: Raw data linked to the manuscript "EUREKA algorithm predicts obstetric risk and response to treatment in women with different<br> subsets of anti-phospholipid antibodies".
DOI: 10.21227/bq1e-hv91
title: Scene-Level Sketches for Semantic Segmentation

description: This publication contains three new datasets for scene-level sketch semantic segmentation task, namely SKY-Scene, TUB-Scene, and Freehand-Scene. SKY-Scene and TUB-Scene are synthetic datasets, where the scene layout templates were extracted from dataset SketchyScene, and the object components were adopted from dataset Sketchy. They are composed to include more sketch-specific characteristics, e.g., sparsity, abstractness, and diversity, to truly evaluate segmentation performance. Freehand-Scene are fifty real human-drawn scene sketches for practical test.
DOI: 10.6084/m9.figshare.18277811
title: NRI.xlsx

description: Consensus cluster for critical patients with capacity and demand imbalance
DOI: 10.6084/m9.figshare.18277811.v1
title: NRI.xlsx

description: Consensus cluster for critical patients with capacity and demand imbalance
DOI: 10.6073/pasta/a7d25d256f23e3427752229cf736a3a6
title: Fall 2007 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2007 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2007. Biomass was only calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea. This data set is based on GCE plant monitoring survey data set PLT-GCEM-0801a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0711.
DOI: 10.6073/pasta/43c93615a18bc464c7468069e718ffe7
title: Fall 2008 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2008 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was only calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-0801a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/729095532fdc5549c3a3625b1eba4a90
title: Fall 2009 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2009 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was only calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1004a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/f5d79a9722572c7c2a10b8cba4a85a58
title: Fall 2010 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2010 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was only calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1010a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/11609e84864f1dfc390fd3e82b975d2d
title: Fall 2011 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2011 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was only calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1112a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/7c952f82f698c6a731759ad497bc8889
title: Fall 2012 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2012 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was only calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1311a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/8bdad996ac2923367d99724ae9b0dfea
title: Fall 2013 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2013 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1403a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/618f9ec979aca6669d92646f7271a30f
title: Fall 2014 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2014 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1403a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/980d41234ea67c2eacd6bcc69d4b877f
title: Fall 2015 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2015 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. and Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1511a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.6073/pasta/03ed725daf81ce3ae0735932b5e0f38a
title: Soil salinity and water content at GCE-LTER vegetation monitoring plots in October 2010

description: Soil samples were collected in conjunction with Fall 2010 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water.
DOI: 10.6073/pasta/e53d69beecaa3a6832dc8dc8205d623b
title: Soil salinity and organic content at GCE-LTER vegetation monitoring plots in October 2011

description: Soil samples were collected in conjunction with Fall 2011 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water. Organic content was measured gravimetrically by comparing ash-free dry weight and total weight of soil samples.
DOI: 10.6073/pasta/f940e82462b8964242eec9cb531c440d
title: Soil salinity at GCE-LTER vegetation monitoring plots in October 2012

description: Soil samples were collected in conjunction with Fall 2011 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water.
DOI: 10.6073/pasta/24d15af4f2dab97aff5148d5ae17d3aa
title: Soil salinity at GCE-LTER vegetation monitoring plots in October 2013

description: Soil samples were collected in conjunction with Fall 2013 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water.
DOI: 10.6073/pasta/c8ca5865d19b3de6d6b70d53dc0833db
title: Soil salinity at GCE-LTER vegetation monitoring plots in October 2014

description: Soil samples were collected in conjunction with Fall 2014 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water.
DOI: 10.6073/pasta/d0e55b8da9bb0e71d4a8b893fc9a0c7a
title: Soil salinity at GCE-LTER vegetation monitoring plots in October 2015

description: Soil samples were collected in conjunction with Fall 2015 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water.
DOI: 10.6084/m9.figshare.16881970.v1
title: A study on the association between the inferior nasal turbinate volume and the maxillary sinus mucosal lining using cone beam tomography

description: data
DOI: 10.6084/m9.figshare.18279182
title: Sex- and age- dependent effect of pre-gestational chronic stress and mirtazapine treatment on neurobehavioral development of offspring

description: The aim of this work was to study the effects of maternal depression and/or perinatal antidepressant mirtazapine treatment on the neurobehavioral development of the offspring. Pre-gestationally chronically stressed or non-stressed Wistar rat dams were treated with either mirtazapine (10 mg/kg/day) or vehicle during pregnancy and lactation followed by analysis of offspring’s behavior at juvenile and adolescent age.<br>
DOI: 10.6084/m9.figshare.18279182.v1
title: Sex- and age- dependent effect of pre-gestational chronic stress and mirtazapine treatment on neurobehavioral development of offspring

description: The aim of this work was to study the effects of maternal depression and/or perinatal antidepressant mirtazapine treatment on the neurobehavioral development of the offspring. Pre-gestationally chronically stressed or non-stressed Wistar rat dams were treated with either mirtazapine (10 mg/kg/day) or vehicle during pregnancy and lactation followed by analysis of offspring’s behavior at juvenile and adolescent age.<br>
DOI: 10.6073/pasta/ea07f86ced76a28f8cb843f517959e0b
title: SRS Corridor Experiment Annual Plant Occurrence Dataset, South Carolina, USA, 2000 - current

description: The impacts of habitat fragmentation and restoring connectivity are difficult to disentangle from other drivers such as area and patch shape and may change over longer time scales. This dataset includes long-term colonization and extinction rates and plant species richness data based on plant occupancy records from experimental landscapes that manipulate habitat connectivity through the presence of habitat corridors, while controlling for patch area and shape. The experimental landscapes are located at the Savannah River Site near Aiken, SC, USA (i.e., “SRS Corridor Experiment”).
DOI: 10.5281/zenodo.5342458
title: Personalized medicine in rheumatoid arthritis: How immunogenicity impacts use of TNF inhibitors

description: Up to 40% of patients treated with tumor necrosis factor alpha inhibitors (TNFi) do not respond to therapy. Testing drug bioavailability and/or anti-drug antibody (ADAb) levels may justify dosage adjustment or switch to different drugs, enabling a personalized medicine approach. We report a multicenter cross-sectional study on different methods [ELISA and a cell based functional assay (reporter gene assay - RGA)] for drug/ADAb detection, and on the relationship between drug bioavailability and ADAb. 163 patients with rheumatoid arthritis (RA) treated with infliximab (IFX; n = 67), adalimumab (ADL; n = 49) or etanercept (ETA; n = 47) were tested for drug and ADAb levels. Furthermore, we report prospective data from additional 70 patients (59 RA and 11 juvenile idiopathic arthritis - JIA) tested for drug and ADAb levels at baseline (T0) and after 3 (T3) and 6 months (T6) of treatment with ADL or ETA only. IFX-treated patients were not included because of the increasing use of IFX biosimilars. Stringent inclusion criteria were used in order to avoid unwanted variables in both studies; none of the patients used TNFi before the study, and TNFi was used only in combination with methotrexate. Clinical response was defined according to EULAR response criteria. The two assays performed comparably in the comparison study. Accordingly, ELISA was selected for the prospective study because of its feasibility in the clinical setting. The cross-sectional study found ADAb in IFX and ADL treated groups only, that were associated with a decrease in pharmacological drug availability in the blood. Comparable results were found for the ADL-treated group in the prospective study which also showed a relationship between drug/ADAb levels and the loss of clinical response. Altogether our findings support drug and anti-drug Ab monitoring in the real-world clinical setting thus enabling individualized treatment and reducing disability in chronic inflammatory arthritis.
DOI: 10.5281/zenodo.5342457
title: Personalized medicine in rheumatoid arthritis: How immunogenicity impacts use of TNF inhibitors

description: Up to 40% of patients treated with tumor necrosis factor alpha inhibitors (TNFi) do not respond to therapy. Testing drug bioavailability and/or anti-drug antibody (ADAb) levels may justify dosage adjustment or switch to different drugs, enabling a personalized medicine approach. We report a multicenter cross-sectional study on different methods [ELISA and a cell based functional assay (reporter gene assay - RGA)] for drug/ADAb detection, and on the relationship between drug bioavailability and ADAb. 163 patients with rheumatoid arthritis (RA) treated with infliximab (IFX; n = 67), adalimumab (ADL; n = 49) or etanercept (ETA; n = 47) were tested for drug and ADAb levels. Furthermore, we report prospective data from additional 70 patients (59 RA and 11 juvenile idiopathic arthritis - JIA) tested for drug and ADAb levels at baseline (T0) and after 3 (T3) and 6 months (T6) of treatment with ADL or ETA only. IFX-treated patients were not included because of the increasing use of IFX biosimilars. Stringent inclusion criteria were used in order to avoid unwanted variables in both studies; none of the patients used TNFi before the study, and TNFi was used only in combination with methotrexate. Clinical response was defined according to EULAR response criteria. The two assays performed comparably in the comparison study. Accordingly, ELISA was selected for the prospective study because of its feasibility in the clinical setting. The cross-sectional study found ADAb in IFX and ADL treated groups only, that were associated with a decrease in pharmacological drug availability in the blood. Comparable results were found for the ADL-treated group in the prospective study which also showed a relationship between drug/ADAb levels and the loss of clinical response. Altogether our findings support drug and anti-drug Ab monitoring in the real-world clinical setting thus enabling individualized treatment and reducing disability in chronic inflammatory arthritis.
DOI: 10.6073/pasta/59d2e20260ad78d887e9bf3dd8987db4
title: Water-quality monitoring in Tempe Town Lake, Tempe, AZ, ongoing since 2005

description: Constructed in 1997, the Tempe Town Lake is a small man-made reservoir that transforms a section of the typically-dry Salt River bed into a 224-acre lake in the heart of Tempe, Arizona. To accommodate the river when it flows, the lake features hydraulically-operated steel gates that allow water to pass through the system unimpeded. The lake has been a remarkable success as a community amenity and as a driver of economic growth in the area around the lake. The lake provides an ideal model system for the many artificial lakes constructed in arid-land cities owing to management decisions, such as draining, that affect their operation and ecology. At the same time, dramatic shifts in hydrology and chemistry when the lake is transformed to a flowing river and back into a lake during and after floods, provide opportunities to study the system’s dynamic evolution to new limnological steady states. The CAP LTER has been measuring water quality, including temperature, pH, conductivity, and dissolved oxygen, dissolved organic carbon (DOC), and total dissolved nitrogen (TDN), in the lake since 2005.
DOI: 10.6073/pasta/eb80949ea45fae94ef0b832751beae56
title: Vegetation Density in a 100x50 meter grid at the Eastern Shore Wildlife Refuge

description: We surveyed vegetation cover within a grid 100x50 m grid of 10x10m grid cells. The attribute table contains a column identifying the transect (1-5), the box within each transect (1-10), and then indicators for sapling density (0-1; low and high density) based on field measurements (SapDenBin), visual interpretation of aerial imagery (SapDenVis) and a logistic regression model (SapDenLog). Data is provided as a ZIP-compressed shapefile.
DOI: 10.6073/pasta/312471dfda865d321c0fbde76c8603de
title: Topographic survey in the forest-marsh interface of Eastern Shore National Wildlife Refuge

description: We collected RTK GPS points in the Eastern Shore of Virginia National Wildlife Refuge near the tip of the Delmarva Peninsula. Survey points have the UTM 18N Easting and Northing coordinates, the NAVD88 elevation in meters, an identifier for the site ("hollow" or "hillslope") and a point code ("ALIVE" for mature live trees, "DEAD" for dead trees, and "SAPLING" for young trees).
DOI: 10.6073/pasta/9399e50780ef0847b142028dd635f6ab
title: Tree ages and Locations on the Eastern Shore of Virginia National Wildlife Refuge

description: Cores were taken from live trees in the hillslope site in the Eastern Shore of Virginia National Wildlife Refuge. "TreeAges.csv" has the ID of the tree, the UTM 18N Easting and Northing and the NAVD88 Elevation (these are identical to the hillslope "ALIVE" points in the topographic surveys - dataset VCR19288), and the year that the tree was established from the dendrochronology analysis. Complete methods for the dendrochronology analysis can be found in Fernandes et al. (2018) Declining radial growth response of coastal forests to hurricanes and nor'easters. JGR: Biogeosciences. (https://doi.org/10.1002/2017JG004125) Location and elevation data were collected using a real-time kinematic (RTK) Global Positioning System (GPS) unit.
DOI: 10.6073/pasta/0377e19a6717923dbfe899713aa7950b
title: Ground water wells in the Eastern Shore of Virginia National Wildlife Refuge, 2014-2015

description: Two wells were established along a transect from salt marsh into pine forest. The lower well (Location: ESVNWR_LOW, WELLID: Lower) is located just inside the forest while the upper well (Location: ESVNWR_UPP, WELLID: Upper) is further in the forest along a line where saplings are currently growing. Below that elevation few saplings survive. Note the UPPER and LOWER well locations after January 7, 2015 are at different locations than in 2014. The 2015 Lower well is at (37.124668,-75.966567) and the 2015 Upper well is at (37.1247505,-75.9663644). Each well is drilled to a depth of approximately 1.5 meters. SWS CTD-Diver sensors are hung by a line in the well and collect temperature, specific conductivity and water head (water table elevation) data once every hour. The dataset spans January 07, 2014 to January 14, 2016.
DOI: 10.6073/pasta/894ec9847bc365347775d3aaba44a502
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Weekly thaw depth data, 2009-2018

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes weekly thaw depth measurements collected from winter warming, summer warming, and control treatment plots at CiPEHR. Additional measurements from on-plot gas flux wells, water table monitoring wells, and off-plot locations are also reported.