cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1xs5stx
title: Fish and invertebrate use of restored vs. natural oyster reefs in coastal North Carolina

description: Fish and invertebrate communities were quantified on recently restored (0-1 year post-restoration), older restored (3-4 years post-restoration), and natural oyster reefs to determine if and when restored reefs support functionally similar faunal communities. To test the influence of setting on the faunal communities, the restored and natural reefs, as well as a control without reef present, were distributed among 3 landscapes (on the edge of salt marsh away from seagrass [salt marsh landscape], on mudflats [mudflat landscape], and near to seagrass and salt marsh [seagrass landscape]). Oyster metrics (total oyster and shell weight, cluster weight, legal oyster density, and juvenile oyster density) and infauna (resident crabs, amphipods, polychaete biomass, bivalves other than oysters, and gastropods) were quantified using 15-cm diameter core sampling seasonally. In addition, juvenile fish and motile crustacean communities were quantified seasonally using 15 m^2 popup nets that sampled the entire reefs. Finally, experiments were conducted to compare gag grouper growth on oyster reefs vs. mud bottom in the field and to examine gag and flounder predation on mummichog and Penaeid shrimp using separate lab mesocosm experiments. The results of this study are analyzed and presented in the following manuscript: Grabowski, J. H. et al. 2022. Fish and invertebrate use of restored vs. natural oyster reefs in a shallow temperate-latitude estuary. Ecosphere (in press).
DOI: 10.6073/pasta/1a257081daf08adb5eb665a192cd370a
title: Palmyra Atoll dissolved organic carbon sampling locations and values

description: This package provides data for Dissolved organic carbon (DOC) sampling locations and values. DOC was sampled at 12 sites to compare DOC export in native and non-native canopies Palmyra Atoll in 2019. Two samples were taken 50 m apart at each site. Three comparison samples were taken from surface waters offshore of the atoll, on the forereef, and from lagoon away from shore. Samples were processed and sent to a lab for analysis.
DOI: 10.6073/pasta/71aaeac403060543f85ca1452665b56e
title: Locations of rainforest transformation plots on Palmyra Atoll

description: Locations of rainforest transformation plots on Palmyra Atoll. Delineation of areas where non-native Cocos nucifera will be removed and replaced with native vegetation. Polygons were defined in 2019. Boundaries delineated in ArcGIS Desktop
DOI: 10.6073/pasta/d30d7d79c4357bf35973b69932151344
title: Palmyra Atoll soil and/or wood density sampling locations used in the carbon storage analysis

description: This dataset provided soil and/or wood density sampling locations and values from Palmyra Atoll (2016 and 2019). Soil samples were extracted to measure organic carbon content associated with different vegetation communities in Palmyra. Wood samples were collected to measure basic wood density values for dominant woody vegetation types found in Palmyra to calculate aboveground carbon values.
DOI: 10.5519/qd.uohq0ccv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.16802158.v1
title: Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells

description: Appendix and Replication Package of the paper titled <b>Good Fences Make Good Neighbours! On the Impact of Cultural and Geographical Dispersion on Community Smells</b>.
DOI: 10.34740/kaggle/dsv/3092370
title: Mahanagar Yatayat Dataset
DOI: 10.4121/14877066
title: Monitoring of rheumatoid arthritis: a patient survey on disease insight and possible added value of an innovative inflammation monitoring device

description: A digital survey held by researchers of the University of Twente among a convenience sample of 408 patients with rheumatoid arthritis in the Netherlands in the period of June-August 2020. The survey consists of 31 questions - both closed and open-ended - and covers 3 topics: current monitoring process of inflammatory activity, preceived added value of a new monitoring device (the HandScan), and patients' perspective on future participation of patients in research projects. Both people with and without experience with the new device were included.
DOI: 10.4121/14877066.v1
title: Monitoring of rheumatoid arthritis: a patient survey on disease insight and possible added value of an innovative inflammation monitoring device

description: A digital survey held by researchers of the University of Twente among a convenience sample of 408 patients with rheumatoid arthritis in the Netherlands in the period of June-August 2020. The survey consists of 31 questions - both closed and open-ended - and covers 3 topics: current monitoring process of inflammatory activity, preceived added value of a new monitoring device (the HandScan), and patients' perspective on future participation of patients in research projects. Both people with and without experience with the new device were included.
DOI: 10.6084/m9.figshare.18335813.v6
title: Supplementary Files and Tables

description: Supplemental tables and files.
DOI: 10.5281/zenodo.5903064
title: CD44: A Target Enabling Package

description: CD44 is a transmembrane receptor that signals through binding hyaluronic acid (HA) with its ectodomain. The intracellular C-terminal tail associates with a variety of factors, including Moesin (MSN), an F-actin binding protein. Through MSN and HA binding, CD44 can link the extracellular matrix to the cytoskeleton. Investigation of the Alzheimer’s Disease (AD) brain proteome, along with weighted co-expression network analysis, revealed a module enriched with proteins involved in inflammation. CD44 (along with MSN) is a key driver of this module, increasing in abundance in asymptomatic and symptomatic AD patients. The aim of the TEP is to produce reagents to test the hypothesis that inhibiting CD44 ectodomain binding to HA may reduce CD44 signalling and inflammation in the brain, limiting neuronal damage in AD patients.
description: Future versions of this TEP will contain experimental data on the CD44 TEP.
DOI: 10.5281/zenodo.5676403
title: Data underlying figures in Beyond Data: sharing related research outputs to make data reusable

description: Data that underlies figures in forthcoming article Beyond Data: sharing related research outputs to make data reusable, to be published in the journal Learned Publishing. Data in these files was retrieved from the DataCite REST API and the DataCite metadata schema. Zipped file contains identical data in 2 formats: individual CSV files (one per figure, plus a file with the overall count of DataCite DOIs by resource type and year) and single XLSX file with multiple tabs.
DOI: 10.5281/zenodo.5676402
title: Data underlying figures in Beyond Data: sharing related research outputs to make data reusable

description: Data that underlies figures in forthcoming article Beyond Data: sharing related research outputs to make data reusable, to be published in the journal Learned Publishing. Data in these files was retrieved from the DataCite REST API and the DataCite metadata schema. Zipped file contains identical data in 2 formats: individual CSV files (one per figure, plus a file with the overall count of DataCite DOIs by resource type and year) and single XLSX file with multiple tabs.
DOI: 10.5281/zenodo.5903085
title: msd-errors - Random walk data

description: The data related to the random walk components of the msd-error work, including truly random and temporarily anti-correlated random walks at a series of system and step size. These have either be analysed numerically or analytically (using kinisi).<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.5258/soton/d2104
title: Data for Solving the max-3-cut problem with coherent networks

description: These are the data for the figures of APS: Physical Review Applied journal paper entitled Solving the max-3-cut problem with coherent networks, authored by S. L. Harrison, H. Sigurdsson, S. Alyatkin, J. D. Töpfer and P. G. Lagoudakis (2022).
DOI: 10.5258/soton/d2094
title: Compound Data for "The Development of Flow Photochemical Methods for the Synthesis of Phenanthrenes, Helicenes and Benzochromenes"

description: The folder contains dataset for all of the compounds in the experimental section of University of Southampton Doctoral thesis. "The Development of Flow Photochemical Methods for the Synthesis of Phenanthrenes, Helicenes and Benzochromenes"
DOI: 10.5258/soton/d2043
title: Dataset for thesis 'Femtosecond Laser Written Diffractive Optical Devices'

description: Data for University of Southampton Doctoral Thesis "Femtosecond Laser Written Diffractive Optical Device"
DOI: 10.5281/zenodo.5903095
title: CD44: A Target Enabling Package

description: CD44 is a transmembrane receptor that signals through binding hyaluronic acid (HA) with its ectodomain. The intracellular C-terminal tail associates with a variety of factors, including Moesin (MSN), an F-actin binding protein. Through MSN and HA binding, CD44 can link the extracellular matrix to the cytoskeleton. Investigation of the Alzheimer’s Disease (AD) brain proteome, along with weighted co-expression network analysis, revealed a module enriched with proteins involved in inflammation. CD44 (along with MSN) is a key driver of this module, increasing in abundance in asymptomatic and symptomatic AD patients. The aim of the TEP is to produce reagents to test the hypothesis that inhibiting CD44 ectodomain binding to HA may reduce CD44 signalling and inflammation in the brain, limiting neuronal damage in AD patients.
DOI: 10.6084/m9.figshare.19064066
title: Psychometric Evaluation of the Acute Care Nurses’ Job Satisfaction Scale-Revised: A Cross-Sectional Survey

description: Data were collected using QualtricsXM web-based survey platform between June 2021 and September 2021. The study participants were acute care nurses working in Qatar. The SPSS data set includes 111 variables representing demographic variables (5 variables), the Job Demands in Nursing Scale (22 variables), the Job Resources in Nursing Scale (24 variables). the Acute Care Nurses Job Satisfaction Scale (31 variables), one item represent global job satisfaction scale, and the remaining 28 variables were the represent the reverse coding items.<br>
DOI: 10.6073/pasta/631de982dde024b390c8a28c05e721a6
title: Simulated future vertebrate habitat in the Greater Yellowstone Ecosystem

description: Aim Biodiversity conservation relies in part on enduring habitat in protected areas. In fire-prone ecosystems, shifts in species’ ranges will result both from changes in climate and fire-catalyzed vegetation change, which could lead to niche contraction and undermine protected-area efficacy. We explored these dynamics for three forest species with varied niches representative of other taxa and different hypothesized responses to fire-regime change (Black-backed Woodpecker, Picoides arcticus; North American marten, Martes spp.; red squirrel, Tamiasciurus hudsonicus). We asked: How do the extent and spatial pattern of these species’ distributions change during the 21st century based on the independent and joint effects of climate and vegetation? Location Greater Yellowstone Ecosystem (Wyoming, USA). Methods For each species, we developed separate distribution models based on climate and forest attributes, projected under four climate-fire scenarios (a 2x2 design with moderate and high temperature and precipitation change). A spatially explicit forest landscape model calibrated for Greater Yellowstone was used to project fire and forest dynamics through 2100, and climate suitability was estimated with Maxent. Results Suitable habitat for all three species based on climate or vegetation alone frequently did not overlap on the landscape, and habitat patches became simpler in shape and farther apart. Climatically suitable habitat for the Black-backed Woodpecker increased in all scenarios, and suitable forest structure expanded by a factor of 30 in dry scenarios with more fire. Climatically suitable habitat for martens declined with warming and drying; the area of suitable vegetation fell &gt;80% with fire-driven losses of mature forest. Red squirrel habitat was maintained in all scenarios, but was sensitive to aridity, and patches were redistributed and compacted. Main conclusions Projections based on climate alone may misrepresent future species distributions, especially where disturbances accelerate vegetation change. Our results identify important consequences of fire-regime change for wildlife in forests dominated by obligate-seeder or fire-sensitive conifers.
DOI: 10.6084/m9.figshare.19064351
title: Estimation of hourly flood hydrographs from daily flows using artificial neural networks and flow disaggregation method on the Peruvian Pacific Drainage (1981-2020)

description: Dataset of hourly flows of flood events generated from average daily flows from artificial neural networks and flow disaggregation method on the Peruvian Pacific Drainage.
DOI: 10.18120/bv14-7q89
title: ScientificData
DOI: 10.5281/zenodo.5897655
title: RNAseq sequences of the study "Transactive response DNA-binding Protein (TARDBP/TDP-43) regulates early HIV-1 entry and infection" (1/2)

description: Each pair of FASTQ files corresponds to a specific sample condition: Condition Sample FASTQ name R1 FASTQ name R2 Cneg RNASEQ-AVF1 RNASEQ-AVF1_S1_R1_001.fastq.gz RNASEQ-AVF1_S1_R2_001.fastq.gz Flag-wt-TDP-43 RNASEQ-AVF2 RNASEQ-AVF2_S2_R1_001.fastq.gz RNASEQ-AVF2_S2_R2_001.fastq.gz Flag-NLS-mut-TDP-43 RNASEQ-AVF3 RNASEQ-AVF3_S3_R1_001.fastq.gz RNASEQ-AVF3_S3_R2_001.fastq.gz Cneg RNASEQ-AVF4 RNASEQ-AVF4_S4_R1_001.fastq.gz RNASEQ-AVF4_S4_R2_001.fastq.gz Scramble RNASEQ-AVF5 RNASEQ-AVF5_S5_R1_001.fastq.gz RNASEQ-AVF5_S5_R2_001.fastq.gz TDP-43 siRNA A RNASEQ-AVF6 RNASEQ-AVF6_S6_R1_001.fastq.gz RNASEQ-AVF6_S6_R2_001.fastq.gz TDP-43 siRNA B RNASEQ-AVF7 RNASEQ-AVF7_S7_R1_001.fastq.gz RNASEQ-AVF7_S7_R2_001.fastq.gz TDP-43 siRNA C RNASEQ-AVF8 RNASEQ-AVF8_S8_R1_001.fastq.gz RNASEQ-AVF8_S8_R2_001.fastq.gz
DOI: 10.5281/zenodo.5897654
title: RNAseq sequences of the study "Transactive response DNA-binding Protein (TARDBP/TDP-43) regulates early HIV-1 entry and infection" (1/2)

description: Each pair of FASTQ files corresponds to a specific sample condition: Condition Sample FASTQ name R1 FASTQ name R2 Cneg RNASEQ-AVF1 RNASEQ-AVF1_S1_R1_001.fastq.gz RNASEQ-AVF1_S1_R2_001.fastq.gz Flag-wt-TDP-43 RNASEQ-AVF2 RNASEQ-AVF2_S2_R1_001.fastq.gz RNASEQ-AVF2_S2_R2_001.fastq.gz Flag-NLS-mut-TDP-43 RNASEQ-AVF3 RNASEQ-AVF3_S3_R1_001.fastq.gz RNASEQ-AVF3_S3_R2_001.fastq.gz Cneg RNASEQ-AVF4 RNASEQ-AVF4_S4_R1_001.fastq.gz RNASEQ-AVF4_S4_R2_001.fastq.gz Scramble RNASEQ-AVF5 RNASEQ-AVF5_S5_R1_001.fastq.gz RNASEQ-AVF5_S5_R2_001.fastq.gz TDP-43 siRNA A RNASEQ-AVF6 RNASEQ-AVF6_S6_R1_001.fastq.gz RNASEQ-AVF6_S6_R2_001.fastq.gz TDP-43 siRNA B RNASEQ-AVF7 RNASEQ-AVF7_S7_R1_001.fastq.gz RNASEQ-AVF7_S7_R2_001.fastq.gz TDP-43 siRNA C RNASEQ-AVF8 RNASEQ-AVF8_S8_R1_001.fastq.gz RNASEQ-AVF8_S8_R2_001.fastq.gz
DOI: 10.15468/jca6ge
title: A checklist of terrestrial mammals in Atewa Range Forest Reserve, Ghana

description: This dataset is a checklist of mammals recorded at the Atewa forest over the years. The Atewa Range Forest Reserve is a biodiversity hotspot in the Eastern Region of Ghana. The dataset comprised of 67 species in 23 families and 8 orders. The dominant order is Rodentia with 22 species followed by Chiroptera with 15 species, Primates with 8 species, Artiodactyla-7 species, Carnivora-8 species, Soricomorpha with 5 species, Pholidota-2 species and 1 species of Hyracoidea. The checklist was collated from reviewed literature notably the Biodiversity of Atewa Forest (Lindsell et. al., 2019) and camera trap records made in 2016.
DOI: 10.5517/ccdc.csd.cc247v3c
title: CCDC 1973742: Experimental Crystal Structure Determination

description: Related Article: Liu Chao|2020|CSD Communication|||
description: Related Article: Xin-Xue Yang, Wei-Dong Yu, Xiao-Yi Yi, Chao Liu|2020|Inorg.Chem.|59|7512|doi:10.1021/acs.inorgchem.0c00330
DOI: 10.5281/zenodo.5903161
title: SDC-Scissor Dataset

description: This dataset is used to evaluate SDC-Scissor. The dataset contains test cases for self-driving cars with BeamNG simulator. A test is specified as a list of road points saved as a JSON file. SDC-Scissor is able to extract features based on these road points and makes predictions which tests are likely to fail based on these extracted features.
DOI: 10.21227/a4vf-hj47
title: Internet of Radio Light - VLC RSSI dataset & Code

description: This file contains VLC RSSI data from the IoRL Measurement campaign. The processing files included are developed by Ben Meunier from Brunel University London.
DOI: 10.25345/c51877
title: MassIVE MSV000088729 - GNPS_FITDOG_HILIC_LC_MSMS_glycan_standards
title: Glycans (fucoidan from L. hyperborea and F. vesiculosus, laminarin from L. digitata and E. bicyclis, mannan from S. cerevisiae and T. weissflogii) were digest with FITDOG, dialysed and analysed in negative mode by HILIC-ESI-MS/MS in negative mode.
DOI: 10.17870/bathspa.10275875
title: A natural history of vision loss - supplementary information

description: These data are supplementary files for the following journal article published in <i>Neuroscience and Biobehavioural Reviews</i> in January 2022.<br><b>de Sousa, A.A. Todorov, O.S. and Proulx, M.J. (2022) 'A natural history of vision loss: insight from evolution for human visual function.' <i>Neuroscience & Biobehavioral Reviews</i>. e104550. DOI: 10.1016/j.neubiorev.2022.104550.</b><br><br><br>The three files attached to this record are as follows:<br><br><br><b>1. markdown_vision_loss.Rmd</b><br><br>R code used for creating figures<br><br><br><b>2. acuityblind.csv</b><br><br>Visual acuity data for mammals (with PanTHERIA data http://esapubs.org/archive/ecol/E090/184/)<br><br>MT = method: A= anatomical, B = behavioral, C = subcutaneous eyes<br><br>Sources:<br>Dooley JC, Nguyen HM, Seelke AMH, Krubitzer L. (2012). Visual acuity in the short-tailed opossum (Monodelphis domestica). <i>Neuroscience</i>. 223:124–30.<br>Heffner RS, Heffner HE. (1992). Visual factors in sound localization in mammals. <i>J Comp Neurol</i>, 317(3):219-32.<br>Heffner, R. S., Koay, G., & Heffner, H. E. (1999). Sound localization in an Old-World fruit bat (Rousettus aegyptiacus): acuity, use of binaural cues, and relationship to vision. <i>J Comp Psychol</i>, 113(3):297-306.<br>Heffner, R. S., Koay, G., & Heffner, H. E. (2008). Sound localization acuity and its relation to vision in large and small fruit-eating bats: II. Non-echolocating species, Eidolon helvum and Cynopterus brachyotis. <i>Hear Res</i>, 241(1-2): 80-86.<br>Kirk E, Kay R. (2004). The evolution of high visual acuity in the Anthropoidea. In: Ross C, Kay R, eds. <i>Anthropoid origins: new visions</i>. New York: Kluwer Academic/Plenum Publishers.<br>Pettigrew JD, Manger PR, Fine SLB. (1998). The sensory world of the platypus. <i>Philos Trans R Soc B Biol Sci</i>, 353:1199–210.<br>Veilleux CC, Kirk EC. (2014) Visual acuity in mammals: Effects of eye size and ecology. <i>Brain Behav Evol</i>, 83(1):43-53.<br><br><br><b>3. tree.nwk from TimeTree</b><br><br>S. Kumar, G. Stecher, M. Suleski, and S.B. Hedges, 2017. TimeTree: a resource for timelines, timetrees, and divergence times. <i>Molecular Biology and Evolution</i> 34: 1812-1819, DOI: 10.1093/molbev/msx116.<br>
DOI: 10.17870/bathspa.10275875.v1
title: A natural history of vision loss - supplementary information

description: These data are supplementary files for the following journal article published in <i>Neuroscience and Biobehavioural Reviews</i> in January 2022.<br><b>de Sousa, A.A. Todorov, O.S. and Proulx, M.J. (2022) 'A natural history of vision loss: insight from evolution for human visual function.' <i>Neuroscience & Biobehavioral Reviews</i>. e104550. DOI: 10.1016/j.neubiorev.2022.104550.</b><br><br><br>The three files attached to this record are as follows:<br><br><br><b>1. markdown_vision_loss.Rmd</b><br><br>R code used for creating figures<br><br><br><b>2. acuityblind.csv</b><br><br>Visual acuity data for mammals (with PanTHERIA data http://esapubs.org/archive/ecol/E090/184/)<br><br>MT = method: A= anatomical, B = behavioral, C = subcutaneous eyes<br><br>Sources:<br>Dooley JC, Nguyen HM, Seelke AMH, Krubitzer L. (2012). Visual acuity in the short-tailed opossum (Monodelphis domestica). <i>Neuroscience</i>. 223:124–30.<br>Heffner RS, Heffner HE. (1992). Visual factors in sound localization in mammals. <i>J Comp Neurol</i>, 317(3):219-32.<br>Heffner, R. S., Koay, G., & Heffner, H. E. (1999). Sound localization in an Old-World fruit bat (Rousettus aegyptiacus): acuity, use of binaural cues, and relationship to vision. <i>J Comp Psychol</i>, 113(3):297-306.<br>Heffner, R. S., Koay, G., & Heffner, H. E. (2008). Sound localization acuity and its relation to vision in large and small fruit-eating bats: II. Non-echolocating species, Eidolon helvum and Cynopterus brachyotis. <i>Hear Res</i>, 241(1-2): 80-86.<br>Kirk E, Kay R. (2004). The evolution of high visual acuity in the Anthropoidea. In: Ross C, Kay R, eds. <i>Anthropoid origins: new visions</i>. New York: Kluwer Academic/Plenum Publishers.<br>Pettigrew JD, Manger PR, Fine SLB. (1998). The sensory world of the platypus. <i>Philos Trans R Soc B Biol Sci</i>, 353:1199–210.<br>Veilleux CC, Kirk EC. (2014) Visual acuity in mammals: Effects of eye size and ecology. <i>Brain Behav Evol</i>, 83(1):43-53.<br><br><br><b>3. tree.nwk from TimeTree</b><br><br>S. Kumar, G. Stecher, M. Suleski, and S.B. Hedges, 2017. TimeTree: a resource for timelines, timetrees, and divergence times. <i>Molecular Biology and Evolution</i> 34: 1812-1819, DOI: 10.1093/molbev/msx116.<br>
DOI: 10.5281/zenodo.5903236
title: msd-errors - Random walk data

description: The data related to the random walk components of the msd-error work, including truly random and temporarily anti-correlated random walks at a series of system and step size. These have either be analysed numerically or analytically (using kinisi).<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.5281/zenodo.5121521
title: Dataset supporting the article "Megapixel camera arrays for high-resolution animal tracking in multiwell plates"

description: IB and LF contributed equally. This deposition contains the supporting dataset for the article: <strong>Megapixel camera arrays for high-resolution animal tracking in multiwell plates</strong> Ida Barlow, Luigi Feriani, Eleni Minga, Adam McDermott-Rouse, Thomas J O'Brien, Ziwei Liu, Maximilian Hofbauer, John R Stowers, Erik C Andersen, Siyu S Ding, André EX Brown <strong>Acknowledgements</strong>: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 714853) and was supported by the Medical Research Council through grant MC-A658-5TY30. This work was supported by a Research Grant from HFSP (Ref.-No: RGP0001/2019). AMR was supported by a BBSRC CASE studentship part-funded by Syngenta.
DOI: 10.5281/zenodo.5121520
title: Dataset supporting the article "Megapixel camera arrays for high-resolution animal tracking in multiwell plates"

description: IB and LF contributed equally. This deposition contains the supporting dataset for the article: <strong>Megapixel camera arrays for high-resolution animal tracking in multiwell plates</strong> Ida Barlow, Luigi Feriani, Eleni Minga, Adam McDermott-Rouse, Thomas J O'Brien, Ziwei Liu, Maximilian Hofbauer, John R Stowers, Erik C Andersen, Siyu S Ding, André EX Brown <strong>Acknowledgements</strong>: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 714853) and was supported by the Medical Research Council through grant MC-A658-5TY30. This work was supported by a Research Grant from HFSP (Ref.-No: RGP0001/2019). AMR was supported by a BBSRC CASE studentship part-funded by Syngenta.