cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7118515
title: Distribution, population density and behavior of dwarf galagos (Paragalago sp.) in Taita Hills, Kenya

description: We studied habitat preferences and behavior of dwarf galagos (<em>Paragalago </em>sp.), recently rediscovered from the Taita Hills, Kenya. Small populations of Taita dwarf galagos survive in the two largest remnants of moist montane forest. Inspection of several smaller forest fragments failed to provide evidence of additional survivors. Acoustic data on the two remaining populations were obtained with AudioMoths, and analyzed in relation to forest structure data obtained by airborne lidar and by ground-level observations. A Zero-inflated negative binomial GLMM was implemented with calls per hour as the response variable and indicator of relative population density. Our results demonstrate that Taita dwarf galagos prefer dense canopy coverage and avoid forest edges. Regarding forest height, they prefer lower 20–30 m tall forest. Forest size also significantly affects Taita dwarf galago population size. Mbololo forest (185 ha) has a relatively viable population, whereas in Ngangao forest (120 ha) dwarf galagos are nearly extinct. The calls of Taita dwarf galagos resemble calls of Kenya coast dwarf galagos (<em>Paragalago cocos</em>). However, some differences exist between the Taita animals and those recently recorded by us at the Kenyan coast, and even between the two remaining populations in the Taita Hills. In addition to other data, we present the first ever photographs of the Taita dwarf galagos from the Mbololo forest and compare them to those from Ngangao forest and the Kenya coast from Diani and Shimba Hills. We conclude that DNA studies are urgently needed to resolve the taxonomic status of both surviving populations of dwarf galagos in the Taita Hills.
DOI: 10.5281/zenodo.7118516
title: Distribution, population density and behavior of dwarf galagos (Paragalago sp.) in Taita Hills, Kenya

description: This dataset was originally presented in AABA conference in Denver March 2022 https://bioanth.org/. Article is published in International Journal of Primatology. We studied habitat preferences and behavior of dwarf galagos (<em>Paragalago </em>sp.), recently rediscovered from the Taita Hills, Kenya. Small populations of dwarf galagos survive in the two largest remnants of moist montane forest. Inspection of several smaller forest fragments failed to provide evidence of additional survivors. Acoustic data on the two remaining populations were obtained with AudioMoths and analyzed in relation to forest structure data obtained by airborne lidar and by ground-level observations. A Zero-inflated negative binomial GLMM was implemented with calls as the response variable and indicator of relative population density. Our results demonstrate that dwarf galagos in the Taita Hills are sensitive to human disturbance and tend to avoid forest edges. In Ngangao Forest (120 ha), a small, nearly extinct population of about 10 individuals inhabits the most pristine part of the forest. The calls of dwarf galagos in the Taita Hills resemble calls of Kenya coast dwarf galagos (<em>Paragalago cocos</em>). However, some differences do exist between the Taita animals and those recently recorded by us at the Kenyan coast, and even between the two remaining populations in the Taita Hills. In addition to other data, we present the first ever photographs of the dwarf galagos from the Mbololo Forest and compare them to those from Ngangao Forest and the Kenya coast from Diani and Shimba Hills. We conclude that DNA studies are urgently needed to resolve the taxonomical status of both surviving populations of dwarf galagos in the Taita Hills.
DOI: 10.5281/zenodo.7969901
title: Distribution, population density and behavior of dwarf galagos (Paragalago sp.) in Taita Hills, Kenya

description: We studied habitat preferences and behavior of dwarf galagos (<em>Paragalago </em>sp.), recently rediscovered from the Taita Hills, Kenya. Small populations of Taita dwarf galagos survive in the two largest remnants of moist montane forest. Inspection of several smaller forest fragments failed to provide evidence of additional survivors. Acoustic data on the two remaining populations were obtained with AudioMoths, and analyzed in relation to forest structure data obtained by airborne lidar and by ground-level observations. A Zero-inflated negative binomial GLMM was implemented with calls per hour as the response variable and indicator of relative population density. Our results demonstrate that Taita dwarf galagos prefer dense canopy coverage and avoid forest edges. Regarding forest height, they prefer lower 20–30 m tall forest. Forest size also significantly affects Taita dwarf galago population size. Mbololo forest (185 ha) has a relatively viable population, whereas in Ngangao forest (120 ha) dwarf galagos are nearly extinct. The calls of Taita dwarf galagos resemble calls of Kenya coast dwarf galagos (<em>Paragalago cocos</em>). However, some differences exist between the Taita animals and those recently recorded by us at the Kenyan coast, and even between the two remaining populations in the Taita Hills. In addition to other data, we present the first ever photographs of the Taita dwarf galagos from the Mbololo forest and compare them to those from Ngangao forest and the Kenya coast from Diani and Shimba Hills. We conclude that DNA studies are urgently needed to resolve the taxonomic status of both surviving populations of dwarf galagos in the Taita Hills.
DOI: 10.5281/zenodo.7967182
title: LiftWEC Deliverable D3.4 - Dataset from coupled hydrodynamic model - SPAR configuration

description: This dataset contains the OrcaFlex model (.dat files) and the time series of interest (.out files) from the simulations of the LiftWEC coupled hydrodynamic model for the SPAR configuration. Details about the numerical model and results are presented in the corresponding deliverable LiftWEC D3.4 - Implementation of a Coupled Hydrodynamic Model. The simulations are sorted by DLC (1.1 & 6.1). The DLC 6.1 "new mooring" corresponds to simulations of a different mooring system presented in Section 8.1.4 of deliverable D3.4. To understand how the time series are extracted and calculated, the python scripts and input files are provided in the folder PostProc_inputs. For each DLC, an Excel file is present that summarizes the variables main statistics for each simulation (sheet ALL_STATS) and statistics on the whole DLC (sheet DLC_STATS).
description: This work was produced as part of the LiftWEC Project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 851885. This output reflects the views only of the author(s), and the European Union cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.7967183
title: LiftWEC Deliverable D3.4 - Dataset from coupled hydrodynamic model - SPAR configuration

description: This dataset contains the OrcaFlex model (.dat files) and the time series of interest (.out files) from the simulations of the LiftWEC coupled hydrodynamic model for the SPAR configuration. Details about the numerical model and results are presented in the corresponding deliverable LiftWEC D3.4 - Implementation of a Coupled Hydrodynamic Model. The simulations are sorted by DLC (1.1 & 6.1). The DLC 6.1 "new mooring" corresponds to simulations of a different mooring system presented in Section 8.1.4 of deliverable D3.4. To understand how the time series are extracted and calculated, the python scripts and input files are provided in the folder PostProc_inputs. For each DLC, an Excel file is present that summarizes the variables main statistics for each simulation (sheet ALL_STATS) and statistics on the whole DLC (sheet DLC_STATS).
description: This work was produced as part of the LiftWEC Project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 851885. This output reflects the views only of the author(s), and the European Union cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.7967249
title: LiftWEC Deliverable D3.4 - Dataset from coupled hydrodynamic model - SPAR configuration

description: This dataset contains the OrcaFlex model (.dat files) and the time series of interest (.out files) from the simulations of the LiftWEC coupled hydrodynamic model for the SPAR configuration. Details about the numerical model and results are presented in the corresponding deliverable LiftWEC D3.4 - Implementation of a Coupled Hydrodynamic Model. The simulations are sorted by DLC (1.1 & 6.1). The DLC 6.1 "new mooring" corresponds to simulations of a different mooring system presented in Section 8.1.4 of deliverable D3.4. To understand how the time series are extracted and calculated, the python scripts and input files are provided in the folder PostProc_inputs. For each DLC, an Excel file is present that summarizes the variables main statistics for each simulation (sheet ALL_STATS) and statistics on the whole DLC (sheet DLC_STATS).
description: This work was produced as part of the LiftWEC Project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 851885. This output reflects the views only of the author(s), and the European Union cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.7870401
title: Data from "PathOS - D1.2 Scoping Review of Open Science Impact"

description: This dataset contains the data from the Scoping Review of Open Science Impact. Included are all record for which we assessed the full-text. The columns are as follows: id: Internal identifier Several metadata columns from Scopus/Web of Science: authors, year, title, abstract, type, DOI OS type: type of Open Science (e.g., Open Access, Citizen Science) inclusion_status: included, duplicate, out of scope, non-english justification: reasons for decision on inclusion_status Several columns with data extracted by the authors: Study details and design, Types of data sources, Study aims, Relevance to which aspect of impact, Key findings, Coverage/Context, Confidence assessment A complete description of the methods and detailed instructions for coders for extracting data from reports is contained in section 2 of the deliverable report which is available at https://doi.org/10.5281/zenodo.7883699.
description: This version is a small update: the prior version was missing DOIs for the studies on academic impact.
DOI: 10.5281/zenodo.7870402
title: Data from "PathOS - D1.2 Scoping Review of Open Science Impact"

description: This dataset contains the data from the Scoping Review of Open Science Impact. Included are all record for which we assessed the full-text. The columns are as follows: id: Internal identifier Several metadata columns from Scopus/Web of Science: authors, year, title, abstract, type OS type: type of Open Science (e.g., Open Access, Citizen Science) inclusion_status: included, duplicate, out of scope, non-english justification: reasons for decision on inclusion_status Several columns with data extracted by the authors: Study details and design, Types of data sources, Study aims, Relevance to which aspect of impact, Key findings, Coverage/Context, Confidence assessment A complete description of the methods and detailed instructions for coders for extracting data from reports is contained in section 2 of the deliverable report which is available at https://doi.org/10.5281/zenodo.7883699.
DOI: 10.5281/zenodo.7969951
title: Data from "PathOS - D1.2 Scoping Review of Open Science Impact"

description: This dataset contains the data from the Scoping Review of Open Science Impact. Included are all record for which we assessed the full-text. The columns are as follows: id: Internal identifier Several metadata columns from Scopus/Web of Science: authors, year, title, abstract, type, DOI OS type: type of Open Science (e.g., Open Access, Citizen Science) inclusion_status: included, duplicate, out of scope, non-english justification: reasons for decision on inclusion_status Several columns with data extracted by the authors: Study details and design, Types of data sources, Study aims, Relevance to which aspect of impact, Key findings, Coverage/Context, Confidence assessment A complete description of the methods and detailed instructions for coders for extracting data from reports is contained in section 2 of the deliverable report which is available at https://doi.org/10.5281/zenodo.7883699.
description: This version is a small update: the prior version was missing DOIs for the studies on academic impact.
DOI: 10.6084/m9.figshare.23179831
title: Tables S1–S7: Petrology of the explosive deposits from the April 2021 eruption of La Soufrière volcano, St Vincent: a time-series analysis of microlites

description: Tables of sample locations, all electron microprobe analyses, and CSD measurements.
DOI: 10.6084/m9.figshare.23179831.v1
title: Tables S1–S7: Petrology of the explosive deposits from the April 2021 eruption of La Soufrière volcano, St Vincent: a time-series analysis of microlites

description: Tables of sample locations, all electron microprobe analyses, and CSD measurements.
DOI: 10.5517/ccdc.csd.cc28j2ws
title: CCDC 2100835: Experimental Crystal Structure Determination

description: Related Article: H. Gümüş, N. Tekin, Y. S. Kara|2023|J. Appl. Spectrosc.|89|1150|doi:10.1007/s10812-023-01481-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57841/casdc.0001088
title: 202212SY523海试数据
DOI: 10.6084/m9.figshare.23178113
title: CASU 11.2-3: Appendices to Nino Imedashvilis and David Sirokys article "“Tit-for-Tat:” Understanding Russia–NATO Interactions in Eastern Europe"

description: Appendix 1: NATO and Russia Mobilization and Power Projection Appendix 2: Russia–NATO dynamics 1994–present Appendix 3: Ninety-one NATO–Russian actions–reactions, 22 November 2002 to 2 April 2008 Appendix 4. Thirty-five NATO–Russia Actions–Reactions, 3 June 2006 to 5 June 2017 <br>
DOI: 10.6084/m9.figshare.23178113.v1
title: CASU 11.2-3: Appendices to Nino Imedashvilis and David Sirokys article "“Tit-for-Tat:” Understanding Russia–NATO Interactions in Eastern Europe"

description: Appendix 1: NATO and Russia Mobilization and Power Projection Appendix 2: Russia–NATO dynamics 1994–present Appendix 3: Ninety-one NATO–Russian actions–reactions, 22 November 2002 to 2 April 2008 Appendix 4. Thirty-five NATO–Russia Actions–Reactions, 3 June 2006 to 5 June 2017 <br>
DOI: 10.5519/qd.e6otkkfo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (47 records)
DOI: 10.6084/m9.figshare.23179826
title: <strong>Maternal parity influences the birth sex ratio and birth interval of captive Francois’</strong> <strong>langur</strong> <strong>(</strong><em><strong>Trachypithecus francoisi</strong></em><strong>)</strong>

description: All data and R code generated or analysed during the study. <br>
DOI: 10.25405/data.ncl.22774688.v1
title: Environmental DNA clarifies impacts of combined sewer overflows on the bacteriology of an urban river and resulting risks to public health

description: This deposit contains data underpinning the publication "Environmental DNA clarifies impacts of combined sewer overflows on the bacteriology of an urban river and resulting risks to public health" in Science of the Total Environment.
DOI: 10.25405/data.ncl.22774688
title: Environmental DNA clarifies impacts of combined sewer overflows on the bacteriology of an urban river and resulting risks to public health

description: This deposit contains data underpinning the publication "Environmental DNA clarifies impacts of combined sewer overflows on the bacteriology of an urban river and resulting risks to public health" in Science of the Total Environment.
DOI: 10.57841/casdc.0001089
title: 长寿命多孔含油保持架的制备及工程化产品研发数据集
DOI: 10.5281/zenodo.7969812
title: centipede_SEAS_logs

description: 24h logs of SEAS Centipede base, zipped ubx format
description: {"references": ["https://doi.org/10.5281/zenodo.5814772", "https://doi.org/10.5281/zenodo.5814959"]}
DOI: 10.5281/zenodo.7969811
title: centipede_SEAS_logs

description: 24h logs of SEAS Centipede base, zipped ubx format
description: {"references": ["https://doi.org/10.5281/zenodo.5814772", "https://doi.org/10.5281/zenodo.5814959"]}
DOI: 10.5281/zenodo.7969893
title: centipede_SEAS_logs

description: 24h logs of SEAS Centipede base, zipped ubx format
description: {"references": ["https://doi.org/10.5281/zenodo.5814772", "https://doi.org/10.5281/zenodo.5814959"]}
DOI: 10.6084/m9.figshare.23179910
title: SCIERC NER

description: This dataset is based on the SCIERC dataset and cotnains abstracts of scientific papers, alongside their scientific NER IOB annotations for different entities in the text. <br> Citation for SCIERC: Luan, Yi, He, Luheng, Ostendorf, Mari, and Hajishirzi, Hannaneh. (2018). "Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction." In <em>Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)</em>. <br> This dataset was extracted from the S2ORC dataset. Citation: Lo, Kyle, Wang, Lucy Lu, Neumann, Mark, Kinney, Rodney, and Weld, Daniel. (2020). "S2ORC: The Semantic Scholar Open Research Corpus." In <em>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</em>. Online. Association for Computational Linguistics. <strong>https://www.aclweb.org/anthology/2020.acl-main.447</strong>. doi: 10.18653/v1/2020.acl-main.447. pp. 4969-4983. <br> S2ORC is licenced under ODC-By 1.0 by the AllanAI institute. The dataset is acompanied by properties and embeddings calculated using the deepchecks package, and predictions.
DOI: 10.21252/vvn7-yf50
title: Nanoscale chemical speciation of β-amyloid/iron aggregates using soft X-ray spectromicroscopy

description: A zip archive of figures referenced within Everett, J. et al., 2021. Nanoscale chemical speciation of β-amyloid/iron aggregates using soft X-ray spectromicroscopy. Inorganic Chemistry Frontiers. Available at: http://dx.doi.org/10.1039/d0qi01304h.
description: Inorganic Chemistry Frontiers
DOI: 10.6084/m9.figshare.22893866
title: transcriptome for Pygathrix_nigripes

description: transcriptome for Pygathrix_nigripes
DOI: 10.6084/m9.figshare.22893866.v1
title: transcriptome for Pygathrix_nigripes

description: transcriptome for Pygathrix_nigripes
DOI: 10.6084/m9.figshare.23176670
title: <strong>The effectiveness of intercropping and agri-environmental schemes on ecosystem service of biological pest control: a comparative meta-analysis</strong>

description: Meta analysis data
DOI: 10.6084/m9.figshare.23176670.v1
title: <strong>The effectiveness of intercropping and agri-environmental schemes on ecosystem service of biological pest control: a comparative meta-analysis</strong>

description: Meta analysis data
DOI: 10.5281/zenodo.7970254
title: document

description: none
DOI: 10.5281/zenodo.7970253
title: document

description: none
DOI: 10.34740/kaggle/dsv/5771896
title: Road_Accidents_India : 2017 - 2020
DOI: 10.5519/qd.ykfrjslc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.5519/qd.v0esrq8j
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25375/uct.23152304
title: Cuckoo host use

description: The breeding success of brood parasites relies on the host’s ability to raise their offspring. Brood parasites might cue on host phenotypes to parasitize high-quality individuals to maximize the likelihood of their offspring fledging. However, parasite preference for high-quality hosts will be dependent on the availability of having multiple nests as options to parasitize. Using long-term data from the common redstart (<em>Phoenicurus phoenicurus</em>), a regular host of the common cuckoo (<em>Cuculus canorus</em>), I tested if cuckoos selectively parasitize redstarts based on phenotypic proxies of individual quality. Morphometrics of breeding redstart adults, redstart and cuckoo nestlings were measured, and body condition was calculated for all. I first evaluated the extent of availability of redstart nests to cuckoos during each parasitism event. Host nest availability is a requirement when testing brood parasite host preference because brood parasites can only be selective when multiple host nests are available within their territories. I found that for at least 75% of nest parasitism events (59 of 78 nest), cuckoo females had other nests available to be parasitized within 1 km. Second, I tested the link between nestling size and the phenotypic traits of the parents and found that larger redstart adults raised larger redstart chicks, and females with higher body condition raised redstart chicks with higher body condition. Lastly, I tested the likelihood of redstart individuals being parasitized as a function of their traits, and the consequences for cuckoo nestlings in terms of their size and condition. I found that once the host nest availability was considered, redstart females with higher body condition had a higher likelihood of being parasitised. However, I found no evidence that cuckoo nestlings benefit from being reared by redstart females with higher body condition. As brood parasites have limited options for impacting their offspring’s development, non-random host use based on host quality seems may be particularly important for parasite’s fitness.
DOI: 10.25375/uct.23152304.v1
title: Cuckoo host use

description: The breeding success of brood parasites relies on the host’s ability to raise their offspring. Brood parasites might cue on host phenotypes to parasitize high-quality individuals to maximize the likelihood of their offspring fledging. However, parasite preference for high-quality hosts will be dependent on the availability of having multiple nests as options to parasitize. Using long-term data from the common redstart (<em>Phoenicurus phoenicurus</em>), a regular host of the common cuckoo (<em>Cuculus canorus</em>), I tested if cuckoos selectively parasitize redstarts based on phenotypic proxies of individual quality. Morphometrics of breeding redstart adults, redstart and cuckoo nestlings were measured, and body condition was calculated for all. I first evaluated the extent of availability of redstart nests to cuckoos during each parasitism event. Host nest availability is a requirement when testing brood parasite host preference because brood parasites can only be selective when multiple host nests are available within their territories. I found that for at least 75% of nest parasitism events (59 of 78 nest), cuckoo females had other nests available to be parasitized within 1 km. Second, I tested the link between nestling size and the phenotypic traits of the parents and found that larger redstart adults raised larger redstart chicks, and females with higher body condition raised redstart chicks with higher body condition. Lastly, I tested the likelihood of redstart individuals being parasitized as a function of their traits, and the consequences for cuckoo nestlings in terms of their size and condition. I found that once the host nest availability was considered, redstart females with higher body condition had a higher likelihood of being parasitised. However, I found no evidence that cuckoo nestlings benefit from being reared by redstart females with higher body condition. As brood parasites have limited options for impacting their offspring’s development, non-random host use based on host quality seems may be particularly important for parasite’s fitness.
DOI: 10.5519/qd.aq2r3hzi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)