cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26795388
title: Integration of miRNA expression analysis of purified leukocytes and whole blood reveals blood-borne candidate biomarkers for lung cancer

description: Changes in leukocyte populations may confound the disease-associated miRNA signals in the blood of cancer patients. We aimed to develop a method to detect differentially expressed miRNAs from lung cancer whole blood samples that are not influenced by variations in leukocyte proportions. The Ref-miREO method identifies differential miRNAs unaffected by changes in leukocyte populations by comparing the within-sample relative expression orderings (REOs) of miRNAs from healthy leukocyte subtypes and those from lung cancer blood samples. Over 77% of the differential miRNAs observed between lung cancer and healthy blood samples overlapped with those between myeloid-derived and lymphoid-derived leukocytes, suggesting the potential impact of changes in leukocyte populations on miRNA profile. Ref-miREO identified 16 differential miRNAs that target 19 lung adenocarcinoma-related genes previously linked to leukocytes. These miRNAs showed enrichment in cancer-related pathways and demonstrated high potential as diagnostic biomarkers, with the LASSO regression models effectively distinguishing between healthy and lung cancer blood or serum samples (all AUC &gt; 0.85). Additionally, 12 of these miRNAs exhibited significant prognostic correlations. The Ref-miREO method offers valuable candidates for circulating biomarker detection in cancer that are not affected by changes in leukocyte populations.
DOI: 10.6084/m9.figshare.26795388.v1
title: Integration of miRNA expression analysis of purified leukocytes and whole blood reveals blood-borne candidate biomarkers for lung cancer

description: Changes in leukocyte populations may confound the disease-associated miRNA signals in the blood of cancer patients. We aimed to develop a method to detect differentially expressed miRNAs from lung cancer whole blood samples that are not influenced by variations in leukocyte proportions. The Ref-miREO method identifies differential miRNAs unaffected by changes in leukocyte populations by comparing the within-sample relative expression orderings (REOs) of miRNAs from healthy leukocyte subtypes and those from lung cancer blood samples. Over 77% of the differential miRNAs observed between lung cancer and healthy blood samples overlapped with those between myeloid-derived and lymphoid-derived leukocytes, suggesting the potential impact of changes in leukocyte populations on miRNA profile. Ref-miREO identified 16 differential miRNAs that target 19 lung adenocarcinoma-related genes previously linked to leukocytes. These miRNAs showed enrichment in cancer-related pathways and demonstrated high potential as diagnostic biomarkers, with the LASSO regression models effectively distinguishing between healthy and lung cancer blood or serum samples (all AUC &gt; 0.85). Additionally, 12 of these miRNAs exhibited significant prognostic correlations. The Ref-miREO method offers valuable candidates for circulating biomarker detection in cancer that are not affected by changes in leukocyte populations.
DOI: 10.6084/m9.figshare.26795452
title: Gender disparities in agricultural extension among smallholders in Western Uganda

description: In this study, we aimed to assess gender disparities in access to agricultural extension services and the determinants of access to extension among male and female-headed households in Western Uganda. A cross-sectional survey was conducted to extract primary data from 200 farmers using a semi-structured questionnaire. The collected data were analyzed using descriptive statistics and Binary Logit model. Our findings revealed that majority of the male-headed households had access to extension compared to their female-headed household counterparts. This was also evident in the sources of agricultural extension. The socio-demographic characteristics of farmers also indicated that male-headed households were better off in many areas, for example, male-headed households boasted 498.83 kg/ha maize productivity, while households headed by females produced 405.36 kg/ha, indicating a 94 kg/ha yield gap. Similarly, adoption of agricultural practices was high among the male-headed households than their fellow female-headed counterparts. Finally, the estimates from the Binary Logit revealed that male-headed households’ access to extension was influenced by age, education, farm size, crop diversity, and group membership. The predictor variables that significantly influenced female-headed households’ access to extension include age, education, experience, household size, farm size, distance to extension, crop diversity, non-farm income, and credit access. The study concluded that there are gender disparities in agricultural extension as evident in the access to, sources and determinants of access to agricultural extension. To bridge the gender gap, the study advocates for more training and extension services to female-headed households regarding access to and sources of extension services. Extension service provision is one of the pillars of agricultural productivity among the smallholder farmers in Sub-Saharan Africa. The role of agricultural extension services involves linking farmers and the governments. Through extension services, smallholder farmers are able to acquire modern agricultural techniques that increases farm productivity. With increased farm productivity, farmers are able to come out of the catastrophic levels of food insecurity. Female headed households normally report less productivity of major crops, leading to food insecurity amongst them. This research work contributes to the global discussions on access to extension among the male and female headed households. The study presents results on the state of access to agricultural extension services as well as the determinants of access to extension among the male and female headed households. Our findings and recommendations can be adopted by relevant authorities to increase access to extension, leading to higher crop productivity among female headed households. In the long run, there will be a decline in food insecurity as a result of the increased crop productivity among the female headed households.
DOI: 10.6084/m9.figshare.26795452.v1
title: Gender disparities in agricultural extension among smallholders in Western Uganda

description: In this study, we aimed to assess gender disparities in access to agricultural extension services and the determinants of access to extension among male and female-headed households in Western Uganda. A cross-sectional survey was conducted to extract primary data from 200 farmers using a semi-structured questionnaire. The collected data were analyzed using descriptive statistics and Binary Logit model. Our findings revealed that majority of the male-headed households had access to extension compared to their female-headed household counterparts. This was also evident in the sources of agricultural extension. The socio-demographic characteristics of farmers also indicated that male-headed households were better off in many areas, for example, male-headed households boasted 498.83 kg/ha maize productivity, while households headed by females produced 405.36 kg/ha, indicating a 94 kg/ha yield gap. Similarly, adoption of agricultural practices was high among the male-headed households than their fellow female-headed counterparts. Finally, the estimates from the Binary Logit revealed that male-headed households’ access to extension was influenced by age, education, farm size, crop diversity, and group membership. The predictor variables that significantly influenced female-headed households’ access to extension include age, education, experience, household size, farm size, distance to extension, crop diversity, non-farm income, and credit access. The study concluded that there are gender disparities in agricultural extension as evident in the access to, sources and determinants of access to agricultural extension. To bridge the gender gap, the study advocates for more training and extension services to female-headed households regarding access to and sources of extension services. Extension service provision is one of the pillars of agricultural productivity among the smallholder farmers in Sub-Saharan Africa. The role of agricultural extension services involves linking farmers and the governments. Through extension services, smallholder farmers are able to acquire modern agricultural techniques that increases farm productivity. With increased farm productivity, farmers are able to come out of the catastrophic levels of food insecurity. Female headed households normally report less productivity of major crops, leading to food insecurity amongst them. This research work contributes to the global discussions on access to extension among the male and female headed households. The study presents results on the state of access to agricultural extension services as well as the determinants of access to extension among the male and female headed households. Our findings and recommendations can be adopted by relevant authorities to increase access to extension, leading to higher crop productivity among female headed households. In the long run, there will be a decline in food insecurity as a result of the increased crop productivity among the female headed households.
DOI: 10.25921/cr4t-2q40
title: Coral bleaching data from BleachWatch in the Florida Keys National Marine Sanctuary from 2023-06-01 to 2023-11-02 (NCEI Accession 0289530)

description: As the occurrence and severity of coral bleaching has increased in the Florida Keys National Marine Sanctuary (FKNMS) since the 1980s, The U.S. National Oceanic and Atmospheric Administration (NOAA) and other scientists have developed remote sensing products and a network of environmental monitoring stations in order to try to more accurately predict coral bleaching in the Florida Keys. However, although remote sensing and in-situ data collection can provide an indication of when environmental conditions are ideal for the onset of coral bleaching, the actual onset of bleaching can be a gradual process, and effects can vary over an area as large as the FKNMS. In order to accurately assess the initial affects of bleaching events, and to assess coral condition during and after bleaching events, the Florida Keys BleachWatch program coordinates a large network of trained observers to provide regular reports of actual coral conditions on the reefs.

Each BleachWatch observer receives a packet containing information on the project and FAQ’s on coral bleaching, report forms complete with detailed instructions, and an underwater visual aid. The report form has been designed to minimize the effort needed to make observations and report on conditions, and the underwater visual aids are designed to minimize gear for the diver to carry yet be easily accessible and available when needed to help make mental notes on coral condition throughout the dive. The underwater visual aid provides a summary of the important information needed from the monitoring form such as environmental conditions as well as images to help determine percent of bleached live coral cover and major growth types for ease of coral identification. After exiting the water, observers simply enter these and any other notable observations on the report form provided. Observers are asked to report as regularly as possible, and are made to understand that observations of no bleaching present are equally as important.

By interpreting observations of coral condition from various areas within a geographic zone of concern during potential bleaching events, additional insight can be gained toward determining natural resilience, both for habitat types, geographical location, and species of coral. This information will allow researchers to further develop the accuracy of available coral bleaching early warning products and assist resource managers to better communicate the condition of the reefs as potential bleaching events occur, as well as potentially integrating the information into existing management plans.
DOI: 10.25921/6fvr-6y66
title: Deep-sea coral and sponge distribution, abundance, and diversity models of the Aleutian Islands (NCEI Accession 0289893)

description: Coral and sponge presence, abundance (measured as catch per unit effort (CPUE)), and diversity (number of coral families) models were generated based off of data from bottom trawl surveys in the Aleutian Islands, Alaska from 1991-2011 using the generalized additive modeling method at a 100 x 100 m spatial resolution. Sponge models were left at the phylum level due to taxonomic uncertainty. Greater certainty in coral taxonomy allowed for modeling of individual Stylasteridae and Primnoidae coral families. A further overall coral group modeling was conducted to include all hydrocoral and gorgonian corals identified. All models are presented in the GeoTIFF raster format. Environmental layers used in the modeling of the taxa are also part of this data package. They include the parameters GeoTIFF rasters of latitude, longitude, bathymetry, aspect relative to mean current, mean bottom temperature for the region, current speed and direction for the deepest depth bin at each sampling point, ocean color, seafloor rugosity, sediment type, seafloor slope, mean current speed (exclusive of tides), and max tidal current measured over a year. For details on the measurement of each environmental layer, see Rooper et al. (2014).
DOI: 10.25921/p9ac-0m59
title: Predictive models of the abundance and distribution of deep-sea corals and sponges in the Gulf of Alaska (NCEI Accession 0289894)

description: Deep-sea coral and sponge presence and abundance (measured as catch per unit effort (CPUE) were generated based off data from bottom trawl surveys between 1993 to 2013. Sponge models were left at the class level due to taxonomic uncertainty. Models of coral were the combination of seven families (Acanthogorgidae, Paragorgidae, Isididae, Plexauridae, Primnoidae and Stylasteridae). One coral family, due to its dominance in the region, was modeled on its own. Another coral group, sea whips (order Pennatuloidea), were also modeled independently due to their dominance in soft substrate environments. All models are presented in the GeoTIFF format. Environmental layers used in the modeling of the taxa are also part of this data package. They include the parameters GeoTIFF rasters of latitude, longitude, bathymetry, mean bottom temperature for the region, current speed and direction for the deepest depth bin at each sampling point, ocean color, seafloor slope, mean current speed (exclusive of tides), and max tidal current predicted over a year. For details on the measurement of each environmental layer, see the journal article Rooper et al. (2017).
DOI: 10.25921/8c95-3s19
title: Water temperature, salinity, and others taken by CTD and XCTD from the research vessel Araon in the Bering Sea from 2023-07-20 to 2023-07-26 (NCEI Accession 0289903)

description: This dataset contains water temperature and salinity data in the Bering Sea taken by XCTD/CTD instruments on board the R/V ARAON. Data are in text formats. This cruise is U.S. State Department MSR U2023-006 as part of the World Data Service for Oceanography.
DOI: 10.25921/hyqy-hn70
title: Water temperature, salinity, chlorophyll, oxygen, PAR taken by CTD for NOAA PMEL EcoFOCI Project from research vessel Ocean Starr, cruise OS1701, legs 1,2,3, from 2017-08-01 to 2017-10-04 (NCEI Accession 0289934)

description: CTD profile data (128 casts) were collected in the Chukchi and Beaufort Seas from the Fishing Vessel Ocean Starr (OS1701 Legs 1,2,3), August 1 to October 4, 2017). The cruise was part of the Arctic Integrated Ecosystem Survey (Arctic IES) funded as part of the North Pacific Research Board (NPRB) Arctic Integrated Ecosystem Research Program (Arctic IERP). The program and research on this expedition were sponsored by NPRB and the Bureau of Ocean and Energy Management (BOEM), with in-kind support by the National Oceanic and Atmospheric Administration (NOAA). These data contribute to understanding how reductions in Arctic sea ice and associated changes in the physical environment influence the flow of energy through the ecosystems of the two Seas. The physical data are part of a wider range of data collected towards this effort. Notably, there was no sea ice present in the northern regions during the survey area as compared to surveys that occurred during 2012 and 2013 (see cruise report). CTD data and water samples were collected by NOAA, PMEL Ecosystems & Fisheries-Oceanography Coordinated Investigations (EcoFOCI). This data set contains 1-meter-averaged profile data. Profile data from CTD instruments were processed at NOAA/PMEL/EcoFOCI using standard techniques. CTD data contacts: Phyllis Stabeno, Calvin Mordy, Peggy Sullivan, Shaun Bell.

Scientist from National Oceanic and Atmospheric Administration (NOAA), Pacific Marine Environmental Laboratory (PMEL), Ecosystems and Fisheries-Oceanography Coordinated Investigations (EcoFOCI), University of Washington, Cooperative Institute for Climate, Ocean, and Ecosystem Studies (CICOES), North Pacific Research Board (NPRB) Arctic Integrated Ecosystem Research Program (IERP), Bureau of Ocean and Energy Management (BOEM) participated. Data are in NetCDF. Longitudes are in degW.
DOI: 10.25921/rdtr-9t74
title: Near-global, upper 2000 m estimates of preindustrial and year 2002 ocean pH, aragonite saturation state, carbon dioxide partial pressure, hydrogen ion concentration, and Revelle factor values, and their total changes caused by anthropogenic carbon accumulation in addition to the component of the changes induced by carbonate system nonlinearities (NCEI Accession 0290073)

description: This dataset consists of year 2002 and preindustrial (pi) OA metric values and their uncertainties (u), total OA metric changes (d) due to anthropogenic carbon accumulation to the year 2002 and the component of those changes caused by carbonate system nonlinearities (n), with associated uncertainties provided. Uncertainties were estimated using a 1000 iteration Monte Carlo simulation. Data from the upper 2000 m of the GLODAPv2.2016b mapped data product (https://doi.org/10.3334/cdiac/otg.ndp093_glodapv2), described in Lauvset et al., 2016 (https://doi.org/10.5194/essd-8-325-2016), and from the preformed properties product of Carter et al., 2021 (https://doi.org/10.1029/2020GB006623) were used to make these estimates. Calculation details are described in Fassbender et al., 2023 (https://doi.org/10.1029/2023GB007843). Year 2002 aragonite saturation state and pH values, and their uncertainties, are reproduced from the GLODAPv2.2016b mapped data product (https://doi.org/10.7289/v5kw5d97) and are provided here for user convenience with the permission of the original data producer. Version 1.0.
DOI: 10.25921/ts4d-bz63
title: Contaminant Data and Growth and Survival Measurements From Juvenile Chinook Salmon Dietary Exposure Study 2020-02-02 to 2021-04-19 (NCEI Accession 0290149)

description: The data included in this package were conducted as part of a Natural Resource Damage Assessment (NRDA) addressing historical pollution at the designated Superfund site. The National Oceanic and Atmospheric Administration (NOAA) evaluated contaminant-related effects from dietary exposure to environmentally relevant concentrations and mixture profiles in juvenile Chinook salmon using two endpoints: growth assessment and disease susceptibility. The dose and chemical proportions were determined from the stomach contents of Laboratory-reared juvenile Chinook salmon recently collected from contaminated waterways. Groups of fish were fed a mixture with fixed proportions of polychlorinated biphenyls (PCBs), dichlorodiphenyltrichloroethanes (DDTs), and polycyclic aromatic hydrocarbons (PAHs) at five concentrations for 35 days.


Data is provided in three spreadsheets in 0-data/Data/ directory and include the length , weight, otoliths, and tissue chemistry of composite samples of lab-raised juvenile Chinook salmon. The corresponding data dictionary for the headers is located in 0-data/Documentation/DataDictionary/ and describes the specific chemical, biological, instruments, etc. codes. Metadata XML files describing the sampling processing procedures are provided in the 0-data/Metadata for each respective experiment. The file 0-data/Data/readme.txt describes the data package and contents of each directory in more detail.
DOI: 10.25921/3fs3-5e91
title: Water temperature, salinity, chlorophyll fluorescence, oxygen and others taken by CTD from the fishing vessel Bristol Explorer, cruise be1201, in the Bering and Chukchi Seas from 2012-08-06 to 2012-09-27 (NCEI Accession 0290264)

description: CTD profile data (109 casts) were collected in the northeast Bering Sea and Chukchi Sea from the Fishing Vessel Bristol Explorer (cruise BE1201) during a pelagic fish survey (Arctic EIS), August 6 to September 27, 2019. CTD casts occurred along a previously-defined trawl survey station grid with stations ~30nm apart. Northern Bering Sea stations were between 60°N and Bering Strait; Chukchi stations sat between the Bering Strait and 72.5°N.

Profile data and water samples were collected by NOAA, AFSC as a part of the Ecosystems & Fisheries-Oceanography Coordinated Investigations (EcoFOCI) program in collaboration with Pacific Marine Environmental Laboratory (PMEL). Profile variables include dual temperatures (°C), dual salinity, chlorophyll fluorescence(ugrams/l), oxygen concentration (umol/kg), transmission (percent), and calculated values Sigma-T (kg m-3) and oxygen percent saturation (percent). This data set contains 1-meter-averaged water-column profile data. Profile data from CTD instruments were processed at NOAA/PMEL/EcoFOCI using standard techniques. Null values are represented as 1.00E+35. CTD data contacts: Phyllis Stabeno, Calvin Mordy, Peggy Sullivan, Shaun Bell.

Scientists from National Oceanic and Atmospheric Administration (NOAA), Alaska Fisheries Science Center (AFSC); Auke Bay Laboratories Ecosystem Monitoring and Assessment (EMA); Arctic Ecosystem Integrated Survey (Arctic Eis); Pacific Marine Environmental Laboratory (PMEL) ; Ecosystems and Fisheries-Oceanography Coordinated Investigations (EcoFOCI); University of Washington, Cooperative Institute for Climate, Ocean and Ecosystem Studies participated in the cruise. Data are in NetCDF.
DOI: 10.5281/zenodo.14801756
title: Frei Recordings (DEC, JAN, FEB)

description: This repository contains audio recordings from the 2022-2023 Antarctic Summer Campaign corresponding to the project "Evaluation of the soundscape composition and antropoghenic noise impact at Ardley Island (Maxwell Bay) and Fildes Peninsula (King George/South Shetland island)" from Universidad de la República (Montevideo, Uruguay). In this case the recordings correspond to Frei (S62°12'07.3" W58°57'55.7") monitoring point. 

 

Recordings where made using Audiomoth recorders. Each file consists of a 5 minutes recording made at 48kHz with a Med-High gain. The recordings where made periodically during the first five minutes of every hour, for 24 hours during all days of the summer campaign. The folders in this repository are divided by month, which inside contains folder indicating date of recording, and the name of the file indicate hour (in GMT time) as: YYYYMMDD_HH