cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7987920
title: Out-of-distribution detection algorithms for robust insect classification dataset and models

description: This folder contains trained models and datasets for reproducing the results in the paper on out-of-distribution detection algorithms for robust insect classification. Specifically, it contains the following folders: OODInsect (out-of-distribution data) MSP, MAH, and EBM trained models, each wrapped around the three classifiers of ResNet50, RegNet32, and VGG11, and different combinations of ID and OOD test data for reproducing RQ1, RQ2, and RQ3. ID3 (in-distribution test data)
DOI: 10.5281/zenodo.7988082
title: Prompting_and_Eval_Datasets_CPS_MCPCR

description: We have provided two base prompts, which align with the definitions we have previously discussed, as well as two datasets. The first<br> dataset is divided into three segments - one for each show - comprising a total of 445 prompt-response pairs. These pairs were generated by sequentially prompting segmented sections from the respective episodes of each show. The second dataset is also divided into three parts and includes 60 manually assessed response samples to ensure optimal quality.
DOI: 10.5281/zenodo.7988081
title: Prompting_and_Eval_Datasets_CPS_MCPCR

description: We have provided two base prompts, which align with the definitions we have previously discussed, as well as two datasets. The first<br> dataset is divided into three segments - one for each show - comprising a total of 445 prompt-response pairs. These pairs were generated by sequentially prompting segmented sections from the respective episodes of each show. The second dataset is also divided into three parts and includes 60 manually assessed response samples to ensure optimal quality.
DOI: 10.34740/kaggle/dsv/5814827
title: CS: GO - Map identification
DOI: 10.34740/kaggle/dsv/5814832
title: CS: GO - Map identification
DOI: 10.5281/zenodo.7988066
title: Reproducibility Package for Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding

description: This archive contains the repro-pack for the paper at https://github.com/barbagroup/jcs_paper_pinn.
DOI: 10.15468/r8xmpb
title: Monitoreo satelital de condor andino (Vultur gryphus) en Ecuador

description: Este set de datos comprende datos de rastreadores satelitales que fueron colocados como parte de marcaje de cóndor andino en la línea de acción "investigación y Monitoreo" del Plan de Acción de Cóndor Andino. Los especímenes marcados fueron rescatados de eventos de envenenamientos y cacería.
DOI: 10.34943/f37f57c5-c08b-4ed6-bd21-7011914495f9
title: Tsawwassen - Swartz Bay Ferry Route Oxygen Sensor Deployed 2023-05-23

description: The Aanderaa Optode 3835 (S/N 418) was deployed on 2023-05-23 on Tsawwassen - Swartz Bay Ferry Route. This ferry route goes between Tsawwassen terminal in Vancouver, BC and the Swartz Bay terminal, Victoria BC. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.22404562.v4
title: Compiled datasets used in the analyses

description: Datasets I compiled for the analyses in my study titled "Neorealist Analysis of Security Dilemma in Cyberspace; A Quantitative Study"
DOI: 10.6084/m9.figshare.7834406
title: Depth profiles of soil CO2 concentrations, soil temperature, and soil moisture (Rocky Mountain Biological Laboratory, Gothic, Colorado, 2011-2021)

description: In 2009, we installed vertical profiles of automated soil pore space CO2 concentration sensors (Vaisala GMM 222; 5-sensor profile) under two forest cover types ( aspen and mixed conifer) at the Rocky Mountain Biological Laboratory (RMBL) in Gothic, Coloardo. The CO2 profile measurements are paired with soil temperature and moisture measurements. <br> The datasets (.csv format) contain the following variables: Year — YYYY Month — MM Day — DD Hour — HH CO2 50cm — Soil CO2 concentration @ -50 cm depth (ppm) (Vaisala) CO2 15cm — Soil CO2 concentration @ -15 cm depth (ppm) (Vaisala) CO2 5cm — Soil CO2 concentration @ -05cm depth (ppm) (Vaisala) CO2 0-1cm — Soil CO2 concentration @ soil surface (ppm) (Vaisala) CO2 1.5m air — Ambient air CO2 concentration @ 150 cm above soil surface (ppm) Soil T 50cm — Soil temperature @ -50 cm depth (°C) Soil T 15cm — Soil temperature @ -15 cm depth (°C) Soil T 5cm — Soil temperature @ -05cm depth (°C) Soil T 0cm — Soil temperature @ soil surface (°C) T 1.5 air — Air temperature @ 150 cm above soil surface (°C) VWC 50cm — Soil volumetric water content @ -50 cm depth (%) (Campbell) VWC 15cm — Soil volumetric water content @ -15 cm depth (%) (Campbell) VWC 5cm — Soil volumetric water content @ -05cm depth (%) (Campbell) Decagon Soil T 50cm — Soil temperature @ -50 cm depth (°C) (Decagon) Decagon Soil T 15cm — Soil temperature @ -15 cm depth (°C) (Decagon) Decagon Soil T 5cm — Soil temperature @ -05cm depth (°C) (Decagon) Decagon Soil EC 50cm — Soil electrical conductivity @ -50 cm depth (°C) (Decagon) Decagon Soil EC 15cm — Soil electrical conductivity @ -15 cm depth (°C) (Decagon) Decagon Soil EC 5cm — Soil telectrical conductivity @ -05cm depth (°C) (Decagon) Battery voltage
DOI: 10.6084/m9.figshare.7834406.v1
title: Depth profiles of soil CO2 Concentrations, soil temperature, and soil moisture (Rocky Mountain Biological Laboratory, Gothic, Colorado, 2011-2016)

description: Soil respiration (the flux of CO2 from the soil surface) is one of the largest and most variable fluxes in the global carbon cycle, and yet also one of the least understood, primarily due to methodological difficulties. These are (1) measuring soil respiration at high temporal frequencies and (2) attributing flux variations to its functionally different sources, plants and microbes. In 2009, we installed vertical profiles of automated soil pore space CO2 concentration sensors (Vaisala GMM 222; 5-sensor profile) under two forest cover types (deciduous aspen and evergreen spruce) at the Rocky Mountain Biological Laboratory (RMBL) in Gothic, Coloardo. These sensors are advantageous for the RMBL ecosystem because they have no moving parts, and thus can make measurements throughout the winter and underneath the snowpack. The CO2 profile measurements are paired with soil temperature and moisture measurements. The CO2 concentration sensors were recalibrated in 2018. The concentration data can be converted to estimates of soil CO2 production using a 1-D gas diffusion model. The profile information allows us to spatially separate soil CO2 production within the soil profile, and to assess how soil respiration responds to varying environmental conditions in the different vegetation communities. The datasets (.csv format) contain the following variables: Year — YYYY Month — MM Day — DD Hour — HH Day of Year — DOY Fraction of Year — YYYY+DOY/366 CO2 50cm — Soil CO2 concentration @ -50 cm depth (ppm) (Vaisala) CO2 15cm — Soil CO2 concentration @ -15 cm depth (ppm) (Vaisala) CO2 5cm — Soil CO2 concentration @ -05cm depth (ppm) (Vaisala) CO2 0cm — Soil CO2 concentration @ soil surface (ppm) (Vaisala) CO2 1.5m air — Ambient air CO2 concentration @ 150 cm above soil surface (ppm) Soil T 50cm — Soil temperature @ -50 cm depth (°C) Soil T 15cm — Soil temperature @ -15 cm depth (°C) Soil T 5cm — Soil temperature @ -05cm depth (°C) Soil T 0cm — Soil temperature @ soil surface (°C) T 1.5 air — Air temperature @ 150 cm above soil surface (°C) VWC 50cm — Soil volumetric water content @ -50 cm depth (%) (Campbell) VWC 15cm — Soil volumetric water content @ -15 cm depth (%) (Campbell) VWC 5cm — Soil volumetric water content @ -05cm depth (%) (Campbell) Decagon Soil T 50cm — Soil temperature @ -50 cm depth (°C) (Decagon) Decagon Soil T 15cm — Soil temperature @ -15 cm depth (°C) (Decagon) Decagon Soil T 5cm — Soil temperature @ -05cm depth (°C) (Decagon)
DOI: 10.6084/m9.figshare.22687966
title: Table: List of excluded studies subsequent to full text screening.

description: Table: List of excluded studies subsequent to full text screening.
DOI: 10.6084/m9.figshare.22687966.v2
title: Table: List of excluded studies subsequent to full text screening.

description: Table: List of excluded studies subsequent to full text screening.
DOI: 10.6084/m9.figshare.22687966.v1
title: Table: List of excluded studies subsequent to full text screening.

description: Table: List of excluded studies subsequent to full text screening.
DOI: 10.34740/kaggle/ds/3222646
title: Glaucoma Dataset: EyePACS AIROGS - Light
DOI: 10.6084/m9.figshare.22687666
title: Table: Characteristics and outcomes of studies and disease groups.

description: Table: Characteristics and outcomes of studies and disease groups.
DOI: 10.6084/m9.figshare.22687666.v2
title: Table: Characteristics and outcomes of studies and disease groups.

description: Table: Characteristics and outcomes of studies and disease groups.
DOI: 10.6084/m9.figshare.22687666.v1
title: Table: Characteristics and outcomes of studies and disease groups.

description: Table: Characteristics and outcomes of studies and disease groups.
DOI: 10.5281/zenodo.7935862
title: AVIDa-hIL6

description: AVIDa-hIL6 is an antigen-variable domain of heavy chain of heavy chain antibody (VHH) interaction dataset produced from an alpaca immunized with the human interleukin-6 (IL-6) protein. By leveraging the simple structure of VHHs, which facilitates identification of full-length amino acid sequences by DNA sequencing technology, AVIDa-hIL6 contains 573,891 antigen-VHH pairs with amino acid sequences. All the antigen-VHH pairs have reliable labels for binding or non-binding, as generated by a novel labeling method. Furthermore, AVIDa-hIL6 has the wild type and 30 mutants of the IL-6 protein as antigens, and it includes many sensitive cases in which point mutations in IL-6 enhance or inhibit antibody binding. We envision that AVIDa-hIL6 will serve as a valuable benchmark for machine learning research in the growing field of predicting antigen-antibody interactions.
DOI: 10.5281/zenodo.7935861
title: AVIDa-hIL6

description: AVIDa-hIL6 is an antigen-variable domain of heavy chain of heavy chain antibody (VHH) interaction dataset produced from an alpaca immunized with the human interleukin-6 (IL-6) protein. By leveraging the simple structure of VHHs, which facilitates identification of full-length amino acid sequences by DNA sequencing technology, AVIDa-hIL6 contains 573,891 antigen-VHH pairs with amino acid sequences. All the antigen-VHH pairs have reliable labels for binding or non-binding, as generated by a novel labeling method. Furthermore, AVIDa-hIL6 has the wild type and 30 mutants of the IL-6 protein as antigens, and it includes many sensitive cases in which point mutations in IL-6 enhance or inhibit antibody binding. We envision that AVIDa-hIL6 will serve as a valuable benchmark for machine learning research in the growing field of predicting antigen-antibody interactions.
DOI: 10.6084/m9.figshare.23264603
title: Dataset: carbon and nitrogen content in coarse woody debris sampled in northern Brazilian Amazon

description: The dataset provides information on carbon and nitrogen content (%) in coarse woody debris pieces (stem diameter ≥ 10 cm) sampled in two different Protected Areas situated in state of Roraima, northern Brazilian Amazon: Maracá Ecological Station (Maraca) and Viruá National Park (Virua). Both areas are PPBio (Biodiversity Research Program) grids characterized by distinct forest types. Our sampling took into consideration 128 pieces: 56 (Maraca) and 72 (Virua). All pieces were observed/measured in 2008, as specified in Silva, L.F.S.G.; Castilho, C.V.; Cavalcante, C.O.; Pimentel, T.P.; Fearnside, P.M.; Barbosa, R.I. 2016. Production and stock of coarse woody debris across a hydro-edaphic gradient of oligotrophic forests in the northern Brazilian Amazon. <em>Forest Ecology and Management, </em>364: 1-9 (doi: 10.1016/j.foreco.2015.12.045). Our dataset has a file (carbon_nitrogen_NECROMASS_Maraca-Virua.xlx) where are presented all information for each sampled piece (wood_piece_number), associated to the carbon content (%), nitrogen content (%), taxonomy (family; species), sampling date, etc. The dataset was supported by supported by INPA’s institutional project ‘‘Ecology and Management of Natural Resources of the Roraima Savanna” (PPI-INPA 012/18; 2008–2012) and the Biodiversity Research Program (PPBio Western Amazonia, Manaus). The National Council for Scientific and Technological Development of Brazil provided fellowships for R.I. Barbosa (CNPq 306286/2008-4) and P.M. Fearnside (CNPq 304020/2010-9). L.F.S.G. Silva and C. O. Cavalcante were supported by post-graduate fellowships provided by Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES). The Chico Mendes Institute for Biodiversity Conservation (ICMBio) provided infrastructure and authorization for the study (Authorizations 17398-1 and 17398-2 in 2009; 22576-1 in 2010).
DOI: 10.6084/m9.figshare.23264603.v1
title: Dataset: carbon and nitrogen content in coarse woody debris sampled in northern Brazilian Amazon

description: The dataset provides information on carbon and nitrogen content (%) in coarse woody debris pieces (stem diameter ≥ 10 cm) sampled in two different Protected Areas situated in state of Roraima, northern Brazilian Amazon: Maracá Ecological Station (Maraca) and Viruá National Park (Virua). Both areas are PPBio (Biodiversity Research Program) grids characterized by distinct forest types. Our sampling took into consideration 128 pieces: 56 (Maraca) and 72 (Virua). All pieces were observed/measured in 2008, as specified in Silva, L.F.S.G.; Castilho, C.V.; Cavalcante, C.O.; Pimentel, T.P.; Fearnside, P.M.; Barbosa, R.I. 2016. Production and stock of coarse woody debris across a hydro-edaphic gradient of oligotrophic forests in the northern Brazilian Amazon. <em>Forest Ecology and Management, </em>364: 1-9 (doi: 10.1016/j.foreco.2015.12.045). Our dataset has a file (carbon_nitrogen_NECROMASS_Maraca-Virua.xlx) where are presented all information for each sampled piece (wood_piece_number), associated to the carbon content (%), nitrogen content (%), taxonomy (family; species), sampling date, etc. The dataset was supported by supported by INPA’s institutional project ‘‘Ecology and Management of Natural Resources of the Roraima Savanna” (PPI-INPA 012/18; 2008–2012) and the Biodiversity Research Program (PPBio Western Amazonia, Manaus). The National Council for Scientific and Technological Development of Brazil provided fellowships for R.I. Barbosa (CNPq 306286/2008-4) and P.M. Fearnside (CNPq 304020/2010-9). L.F.S.G. Silva and C. O. Cavalcante were supported by post-graduate fellowships provided by Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES). The Chico Mendes Institute for Biodiversity Conservation (ICMBio) provided infrastructure and authorization for the study (Authorizations 17398-1 and 17398-2 in 2009; 22576-1 in 2010).
DOI: 10.25345/c5mw28q9w
title: MassIVE MSV000092056 - Extracellular matrix orchestration of tissue remodelling during chronic colitis
title: Ulcerative colitis is a debilitating and recurrent condition with significant co-morbidities including risk of developing cancer and that is associated with extensive tissue remodeling that is both a consequence and mediator of disease progression. Here, label-free mass spectrometry was used to characterise extracellular matrix remodelling in a murine model of colitis. Unique proteomic profiles of the extracellular matrix landscape distinguished inflamed from matched-normal colon tissue thus identifying pre- and pathological colitic states that were predominantly differentiated by expression of proteoglycans. Network maps derived from this dataset highlighted a central role for matrisomal proteins in epithelial-stromal interactions and identified orchestrating nodes that could be exploited in selection of therapeutic targets.
DOI: 10.25345/c5h41jx52
title: MassIVE MSV000092057 - RgpBProtease_SubstrateSpecificity_MSPMS_082023_DFT
title: This is a multiplex substrate profiling by mass spectrometry (MSP-MS, doi:10.1038/nmeth.2182) reaction involving the protease RgpB (PDB ID: 1CVR). 4 replicates of each time point were analyzed by LC-MS. Time points were taken at 0 minutes (inactivated enzyme, T000), 10 minutes (T010) and 30 minutes (T030).
DOI: 10.5281/zenodo.7988148
title: curatedPCaData supplementary data table for differential gene expression analysis

description: This tab-separated plaintext file contains differential gene expression analyses reported for the curatedPCaData data resource publication.
DOI: 10.5281/zenodo.7988147
title: curatedPCaData supplementary data table for differential gene expression analysis

description: This tab-separated plaintext file contains differential gene expression analyses reported for the curatedPCaData data resource publication.
DOI: 10.6084/m9.figshare.16832089
title: Cultured meat - a patentometric analysis

description: Cultured meat (CM) has emerged as a breakthrough technology, which has the potential to minimise future negative impacts associated with the rapidly growing world population; such as serious environmental, sustainability, global public health, and animal welfare concerns. Recently numerous researchers in academia and companies have been putting significant efforts into scientific and translational development in this field. Since various pillars of CM manufacturing hold substantial translational potential, there has been a steady interest in filing patent applications globally in the past decade. For the first time, we have performed a patentometric analysis for cultured meat by highlighting the current patents landscape, determining prolific organisations and geographical locations active in the area, and identifying the overall outlook for the field. In total, &gt; 190 patents published in the English language were collected from 1997 to 2020 for the analysis. Relevant data were extracted from the patents, including technology focus, country of origin, assignees, priority date, cooperative patent classification (CPC) code, to analyse the current patent landscape.
DOI: 10.6084/m9.figshare.16832089.v1
title: Cultured meat - a patentometric analysis

description: Cultured meat (CM) has emerged as a breakthrough technology, which has the potential to minimise future negative impacts associated with the rapidly growing world population; such as serious environmental, sustainability, global public health, and animal welfare concerns. Recently numerous researchers in academia and companies have been putting significant efforts into scientific and translational development in this field. Since various pillars of CM manufacturing hold substantial translational potential, there has been a steady interest in filing patent applications globally in the past decade. For the first time, we have performed a patentometric analysis for cultured meat by highlighting the current patents landscape, determining prolific organisations and geographical locations active in the area, and identifying the overall outlook for the field. In total, &gt; 190 patents published in the English language were collected from 1997 to 2020 for the analysis. Relevant data were extracted from the patents, including technology focus, country of origin, assignees, priority date, cooperative patent classification (CPC) code, to analyse the current patent landscape.
DOI: 10.15468/dl.7ugezh
title: Occurrence Download

description: A dataset containing 15928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY-NC 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Robinia pseudoacacia L."
 ]
}

 The dataset includes 15928 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021986-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7mcen
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Ledermanniella prasina J.J.Schenk & D.W.Thomas"
 ]
}

 The dataset includes 9 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021987-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15211718
title: Estimating Radiant Flux of Nighttime Light images from Black Marble Product
DOI: 10.5281/zenodo.15211719
title: Estimating Radiant Flux of Nighttime Light images from Black Marble Product
DOI: 10.15468/dl.gh7gtd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardamine heptaphylla (L.) O.E.Schulz",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094192-240321170329656/datasets/export for details.
DOI: 10.15468/dl.2e9k8y
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa buschiana Chrshan."
 ]
}

 The dataset includes 21 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094194-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvgunu
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhaphidophora todayensis K.Krause"
 ]
}

 The dataset includes 15 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094193-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xg6e6
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiropterotriton terrestris (Taylor, 1941)"
 ]
}

 The dataset includes 435 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094195-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3jwdf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron oreogenum L.C.Hu"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094197-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kqedq
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus sidereus (Julin) Ericsson"
 ]
}

 The dataset includes 22 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094196-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.