cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25020521
title: Dataset - Gene flow and migration routes in <i>Salmo trutta</i> L

description: Understanding gene flow can help biodiversity to mitigate habitat changes by contributing to inform and design protected areas. The seascape is composed of heterogeneous landscapes where resources are unevenly distributed. The brown trout,<i> Salmo trutta,</i> displays a multitude of life-history strategies and represents an ideal model for applications in conservation genetics. Information on trout migrations at sea and the effects of abiotic factors on the species dispersal remains limited. Using a panel of 185 single nucleotide polymorphism markers, the present study aimed to explore the population structure of the brown trout and in the English Channel. The genotypes of 2,729 individual trout from 88 rivers were obtained across England and France. Population structure revealed the presence isolation by distance (<i>R</i><sup><em>2</em></sup> = 0.464) and the presence of genetic clusters spatially located following an east/west gradient. The maximum threshold distance between genetic distance and geographic distance was 344 km. The measure appeared relative to the studied spatial environment and reflected <i>Salmo trutta</i> capacity to achieve long migration distances. A machine-learning framework derived from a gradient forest analysis was used to generate a resistance surface using changes in allelic frequencies and environmental predicators. The resulting surface identified areas limiting gene flow. On the British coast, a clear genetic break was observed along the Jurassic coast, whereas the Cotentin peninsula acted as a physical barrier to gene flow among French coastal populations. <i>Salmo trutta</i> populations appeared to be differently affected by environmental factors which might reflect demes preference to specific breeding ground. Using our resistance map, we extended from an IBD model to an isolation by resistance approach and computed the distance of maximum correlation (DMC) using cost distance which allowed the pruning of our genetic graph. The resulting least cost path connections were mapped to reveal the main dispersal routes. Finally, a prioritization analysis using connectivity surface was implemented to design potential MPAs.
DOI: 10.6084/m9.figshare.25020521.v1
title: Dataset - Gene flow and migration routes in <i>Salmo trutta</i> L

description: Understanding gene flow can help biodiversity to mitigate habitat changes by contributing to inform and design protected areas. The seascape is composed of heterogeneous landscapes where resources are unevenly distributed. The brown trout,<i> Salmo trutta,</i> displays a multitude of life-history strategies and represents an ideal model for applications in conservation genetics. Information on trout migrations at sea and the effects of abiotic factors on the species dispersal remains limited. Using a panel of 185 single nucleotide polymorphism markers, the present study aimed to explore the population structure of the brown trout and in the English Channel. The genotypes of 2,729 individual trout from 88 rivers were obtained across England and France. Population structure revealed the presence isolation by distance (<i>R</i><sup><em>2</em></sup> = 0.464) and the presence of genetic clusters spatially located following an east/west gradient. The maximum threshold distance between genetic distance and geographic distance was 344 km. The measure appeared relative to the studied spatial environment and reflected <i>Salmo trutta</i> capacity to achieve long migration distances. A machine-learning framework derived from a gradient forest analysis was used to generate a resistance surface using changes in allelic frequencies and environmental predicators. The resulting surface identified areas limiting gene flow. On the British coast, a clear genetic break was observed along the Jurassic coast, whereas the Cotentin peninsula acted as a physical barrier to gene flow among French coastal populations. <i>Salmo trutta</i> populations appeared to be differently affected by environmental factors which might reflect demes preference to specific breeding ground. Using our resistance map, we extended from an IBD model to an isolation by resistance approach and computed the distance of maximum correlation (DMC) using cost distance which allowed the pruning of our genetic graph. The resulting least cost path connections were mapped to reveal the main dispersal routes. Finally, a prioritization analysis using connectivity surface was implemented to design potential MPAs.
DOI: 10.6084/m9.figshare.25035104
title: Unified explanation of formulas and variables

description: Unified explanation of formulas and variables
DOI: 10.6084/m9.figshare.25035524
title: Data

description: the gastrointestinal content sample from different segments (stomach, duodenum, jejunum, ileum, cecum and colon) of the gastrointestinal tract of chinchilla.
DOI: 10.6084/m9.figshare.25035524.v1
title: Data

description: the gastrointestinal content sample from different segments (stomach, duodenum, jejunum, ileum, cecum and colon) of the gastrointestinal tract of chinchilla.
DOI: 10.5281/zenodo.10540403
title: A influência de autocitações no Fator de Impacto: uma comparação de duas políticas de cálculo (material suplementar)

description: Luiz G. Correia & Jesús P. Mena-Chalco

Este arquivo contém material suplementar para o artigo:

"A INFLUÊNCIA DE AUTOCITAÇÕES NO FATOR DE IMPACTO: uma comparação de duas políticas de cálculo"

Apresentado durante o congresso Latmétricas 2023 em Temuco, Chile.

**************************************************************************************

O repositório está organizado da seguinte forma:

- modelo:    - código-fonte do modelo NetLogo    - descrição do modelo com protocolo ODD- dados:    - modelo 1: rankings sintéticos e medições de variáveis feitas para o modelo 1 (cenários 1 e 2)    - modelo 2: rankings sintéticos e medições de variáveis feitas para o modelo 2 (cenários 1 e 2)- gráficos:    - modelo 1: gráficos produzidos para todos os experimentos com modelo 1 (cenários 1 e 2)    - modelo 2: gráficos produzidos para todos os experimentos com modelo 2 (cenários 1 e 2)
DOI: 10.5281/zenodo.10540404
title: A influência de autocitações no Fator de Impacto: uma comparação de duas políticas de cálculo (material suplementar)

description: Luiz G. Correia & Jesús P. Mena-Chalco

Este arquivo contém material suplementar para o artigo:

"A INFLUÊNCIA DE AUTOCITAÇÕES NO FATOR DE IMPACTO: uma comparação de duas políticas de cálculo"

Apresentado durante o congresso Latmétricas 2023 em Temuco, Chile.

**************************************************************************************

O repositório está organizado da seguinte forma:

- modelo:    - código-fonte do modelo NetLogo    - descrição do modelo com protocolo ODD- dados:    - modelo 1: rankings sintéticos e medições de variáveis feitas para o modelo 1 (cenários 1 e 2)    - modelo 2: rankings sintéticos e medições de variáveis feitas para o modelo 2 (cenários 1 e 2)- gráficos:    - modelo 1: gráficos produzidos para todos os experimentos com modelo 1 (cenários 1 e 2)    - modelo 2: gráficos produzidos para todos os experimentos com modelo 2 (cenários 1 e 2)
DOI: 10.5281/zenodo.10128622
title: Code and Dataset used for assessment of key variables in manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report".

description: This repository contains the code used for extraction of data from the IPCC scenarios database for key variables that are assessed in the manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report". It also contains data for key variables for scenario categories C1, C2, C3, and C4
DOI: 10.5281/zenodo.10128623
title: Code and Dataset used for assessment of key variables in manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report".

description: This repository contains the code used for extraction of data from the IPCC scenarios database for key variables that are assessed in the manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report". It also contains data for key variables for scenario categories C1, C2, C3, and C4
DOI: 10.5281/zenodo.10540559
title: Code and Dataset used for assessment of key variables in manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report".

description: This repository contains the code used for extraction of data from the IPCC scenarios database for key variables that are assessed in the manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report". It also contains data for key variables for scenario categories C1, C2, C3, and C4
DOI: 10.5281/zenodo.10540416
title: Relevant code for Manuscript "Atlantic origin of the sharply increasing inter-annual variability of Asian westerly jet"
DOI: 10.5281/zenodo.10540417
title: Relevant code for Manuscript "Atlantic origin of the sharply increasing inter-annual variability of Asian westerly jet"
DOI: 10.5517/ccdc.csd.cc294nns
title: CCDC 2119645: Experimental Crystal Structure Determination

description: Related Article: Hao Liu, Xin Jin, Shunxing Mu, Wenyuan Su, Zhiyun Zhang, Jianhua Su, Ju Mei|2024|Opt.Mater.|148|114784|doi:10.1016/j.optmat.2023.114784
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: 10.5517/ccdc.csd.cc2bdwzm
title: CCDC 2157351: Experimental Crystal Structure Determination

description: Related Article: Hao Liu, Xin Jin, Shunxing Mu, Wenyuan Su, Zhiyun Zhang, Jianhua Su, Ju Mei|2024|Opt.Mater.|148|114784|doi:10.1016/j.optmat.2023.114784
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: 10.5517/ccdc.csd.cc2d2r2b
title: CCDC 2207171: Experimental Crystal Structure Determination

description: Related Article: Hao Liu, Xin Jin, Shunxing Mu, Wenyuan Su, Zhiyun Zhang, Jianhua Su, Ju Mei|2024|Opt.Mater.|148|114784|doi:10.1016/j.optmat.2023.114784
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: 10.5519/qd.krnb6tcb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.5281/zenodo.10540655
title: INTERACTIVE METHODS OF TEACHING MODERN MUSIC: FOSTERING CREATIVITY AND MUSICAL PROFICIENCY THROUGH TECHNOLOGY-ENHANCED PEDAGOGY
DOI: 10.5281/zenodo.10540656
title: INTERACTIVE METHODS OF TEACHING MODERN MUSIC: FOSTERING CREATIVITY AND MUSICAL PROFICIENCY THROUGH TECHNOLOGY-ENHANCED PEDAGOGY
DOI: 10.5281/zenodo.10540661
title: TIJORAT BANKLARIDA CHET EL VALYUTASI HISOBINI TAKOMILLASHTIRISH
DOI: 10.5281/zenodo.10540662
title: TIJORAT BANKLARIDA CHET EL VALYUTASI HISOBINI TAKOMILLASHTIRISH
DOI: 10.5519/qd.fxzu85ga
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.5281/zenodo.10540684
title: МУСИҚА ТАЪЛИМИ САМАРАДОРЛИГИНИ ОШИРИШДА ЯНГИ АХБОРОТ ТЕХНОЛОГИЯЛАРИНИНГ ЎРНИ
DOI: 10.5281/zenodo.10540685
title: МУСИҚА ТАЪЛИМИ САМАРАДОРЛИГИНИ ОШИРИШДА ЯНГИ АХБОРОТ ТЕХНОЛОГИЯЛАРИНИНГ ЎРНИ
DOI: 10.6084/m9.figshare.25035689
title: 20240121_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.25035689.v1
title: 20240121_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.10540714
title: Data for cascading social-ecological benefits of cultivated species diversity for agricultural sustainability

description: Data for cascading social-ecological benefits of cultivated species diversity for agricultural sustainability
DOI: 10.5281/zenodo.10540715
title: Data for cascading social-ecological benefits of cultivated species diversity for agricultural sustainability

description: Data for cascading social-ecological benefits of cultivated species diversity for agricultural sustainability
DOI: 10.5281/zenodo.10540742
title: FINTECH ТИЖОРАТ БАНКЛАРИ РАҚАМЛИ ТРАНСФОРМАЦИЯСИНИНГ МУҲИМ ОМИЛИ СИФАТИДА
DOI: 10.5281/zenodo.10540743
title: FINTECH ТИЖОРАТ БАНКЛАРИ РАҚАМЛИ ТРАНСФОРМАЦИЯСИНИНГ МУҲИМ ОМИЛИ СИФАТИДА
DOI: 10.5517/ccdc.csd.cc2dnvjg
title: CCDC 2224576: Experimental Crystal Structure Determination

description: Related Article: Na Luo|2022|CSD Communication|||
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: 10.5517/ccdc.csd.cc2f512r
title: CCDC 2239163: Experimental Crystal Structure Determination

description: Related Article: Junchuang Feng, Xiaoqin Wang, Liang Wang, Joseph Kfoury, Julianna Oláh, Shishen Zhang, Lifei Zou, Yunnan Guo, Shufang Xue|2023|Inorg.Chem.|63|108|doi:10.1021/acs.inorgchem.3c01789
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: 10.5517/ccdc.csd.cc2f513s
title: CCDC 2239164: Experimental Crystal Structure Determination

description: Related Article: Junchuang Feng, Xiaoqin Wang, Liang Wang, Joseph Kfoury, Julianna Oláh, Shishen Zhang, Lifei Zou, Yunnan Guo, Shufang Xue|2023|Inorg.Chem.|63|108|doi:10.1021/acs.inorgchem.3c01789
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: 10.5517/ccdc.csd.cc2f514t
title: CCDC 2239165: Experimental Crystal Structure Determination

description: Related Article: Junchuang Feng, Xiaoqin Wang, Liang Wang, Joseph Kfoury, Julianna Oláh, Shishen Zhang, Lifei Zou, Yunnan Guo, Shufang Xue|2023|Inorg.Chem.|63|108|doi:10.1021/acs.inorgchem.3c01789
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: 10.5517/ccdc.csd.cc2f515v
title: CCDC 2239166: Experimental Crystal Structure Determination

description: Related Article: Junchuang Feng, Xiaoqin Wang, Liang Wang, Joseph Kfoury, Julianna Oláh, Shishen Zhang, Lifei Zou, Yunnan Guo, Shufang Xue|2023|Inorg.Chem.|63|108|doi:10.1021/acs.inorgchem.3c01789
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: 10.34740/kaggle/dsv/7442205
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/7442209
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.10540818
title: Simulation Results of POLYNICES FMCW THz Spectrometer for Single Layer Sample Thickness Measurements

description: The THz spectrometer is used for single-layer thickness determination. It includes two CW lasers: a static laser with a fixed frequency and a frequency modulated one, according to a sawtooth wave. The two fields are superimposed in a 3 dB coupler become amplified with an SOA and split again into two optical arms by a second 3 dB coupler. The one output illuminates the THz emitter and propagates at the THz path where it interacts with the sample at the reflection geometry. At the receiver, the THz signal is mixed with the optical signal of the second arm. After filtering, the generated photocurrent (I_IF_tot) consists of a superposition of sinusoidal signals. Each of them has a constant frequency in the kHz regime and corresponds to a different reflected component from the sample. Consequently, the FFT of the current will result in multiple peaks. The thickness of the sample can be extracted from the distance of adjcacent peaks after multiplying with a normalization factor: " c/(2*ns*slope)"

--Parameters--------------------------------------------------------------------------------------------------------------------------------------------Speed of light: c = 3*10^8 m/sSlope of the sawtooth wave for FM: slope = 4*10^14 Hz/sModulation frequency: f_mod = 100 HzModulation period: T_mod = 1/f_mod = 10 msNumber of simulated periods: N_period = 1Starting frequency: f_start = 2 THzFrequency of static laser: f_static = 1 THzSampling rate: fs = 24 Msamples/sRefractive index of sample: nsThickness of sample: ls

--Examples--------------------------------------------------------------------------------------------------------------------------------------------

Case 1: ns = 2.42, ls = 61.98Case 2: ns = 2.42, ls = 92.9Case 3: ns = 2.5 , ls = 60Case 4: ns = 2.5 , ls = 75
DOI: 10.5281/zenodo.10540819
title: Simulation Results of POLYNICES FMCW THz Spectrometer for Single Layer Sample Thickness Measurements

description: The THz spectrometer is used for single-layer thickness determination. It includes two CW lasers: a static laser with a fixed frequency and a frequency modulated one, according to a sawtooth wave. The two fields are superimposed in a 3 dB coupler become amplified with an SOA and split again into two optical arms by a second 3 dB coupler. The one output illuminates the THz emitter and propagates at the THz path where it interacts with the sample at the reflection geometry. At the receiver, the THz signal is mixed with the optical signal of the second arm. After filtering, the generated photocurrent (I_IF_tot) consists of a superposition of sinusoidal signals. Each of them has a constant frequency in the kHz regime and corresponds to a different reflected component from the sample. Consequently, the FFT of the current will result in multiple peaks. The thickness of the sample can be extracted from the distance of adjcacent peaks after multiplying with a normalization factor: " c/(2*ns*slope)"

--Parameters--------------------------------------------------------------------------------------------------------------------------------------------Speed of light: c = 3*10^8 m/sSlope of the sawtooth wave for FM: slope = 4*10^14 Hz/sModulation frequency: f_mod = 100 HzModulation period: T_mod = 1/f_mod = 10 msNumber of simulated periods: N_period = 1Starting frequency: f_start = 2 THzFrequency of static laser: f_static = 1 THzSampling rate: fs = 24 Msamples/sRefractive index of sample: nsThickness of sample: ls

--Examples--------------------------------------------------------------------------------------------------------------------------------------------

Case 1: ns = 2.42, ls = 61.98Case 2: ns = 2.42, ls = 92.9Case 3: ns = 2.5 , ls = 60Case 4: ns = 2.5 , ls = 75
DOI: 10.5281/zenodo.10540826
title: Data for Ross-Hellauer & Horbach_2024_'Additional experiments required_ A scoping review of recent evidence on key aspects of Open Peer Review'

description: 20th Jan 2024, Tony Ross-Hellauer & Serge P.J.M Horbach

This spreadsheet contains details of the database searching and assessment of literature for inclusion in the paper "Additional experiments required: A scoping review of recent evidence on key aspects of Open Peer Review" by Tony Ross-Hellauer and Serge P.J.M Horbach

Description of content of each sheet:

1. Scopus: All literature found via searching Scopus using the search terms in (4. Queries/process), search performed on 19th May 2022 by TRH - 356 results2. WoS: All literature found via searching Web of Science using the search terms in (4. Queries/process), search performed on 19th May 2022 by SH - 296 results3. Initial merge: Combined Scopus/WoS results - 651 results4. De-dup:  De-deduplicating Scopus/WoS results on DOI, 273 duplicate rows found and removed, 378 unique rows remain 5. Screening: Combined results of independent title/abstract screening by both reviewers (164 studies judged relevant by at least one reviewer)6. Full-text/data-extraction: All 164 relevant Scopus/WoS  results, after title/abstract screening. Contains results of (1) decision to include after full-text screening; (2) data extraction for relevant studies7. Snowballing: Results for all relevant results identified via "snowballing" using methods described in manuscript8. Web search: Results for all relevant results identified via web searching using methods described in manuscript9. Final list all included studies: Final results for all 57 included studies (note, includes 5 results relevant only for Open Participation (OP))10. Final list (no OP): Final results for all 52 studies relevant only to Open Identities and/or Open Reports and included in the main text of the manuscript.