cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19471118
title: Supplementary Table S1 from The genetic legacy of the Manila galleon trade in Mexico

description: The population of Mexico has a considerable genetic substructure due to both its pre-Columbian diversity and due to genetic admixture from post-Columbian trans-oceanic migrations. The latter primarily originated in Europe and Africa, but also, to a lesser extent, in Asia. We analyze previously understudied genetic connections between Asia and Mexico to infer the timing and source of this genetic ancestry in Mexico. We identify the predominant origin within Southeast Asia—specifically western Indonesian and non-Negrito Filipino sources—and we date its arrival in Mexico to approximately 13 generations ago (1620 CE). This points to a genetic legacy from the seventeenth century Manila galleon trade between the colonial Spanish Philippines and the Pacific port of Acapulco. Indeed, within Mexico we observe the highest level of this trans-Pacific ancestry in Acapulco, located in the state of Guerrero. This colonial Spanish trade route from East Asia to Europe was centred on Mexico and appears in historical records, but its legacy has been largely ignored. Identities and stories were suppressed due to slavery, assimilation of the immigrants as ‘Indios’ and incomplete historical records. Here we characterize this understudied Mexican ancestry.This article is part of the theme issue ‘Fifty years since Lewontin's apportionment of human diversity’.
DOI: 10.25934/pr00006743.0
title: Available IPD datapackage for study 'An Interim Report to Assess the Efficacy and Tolerability of Paroxetine by Double-Blind Comparison with Amitriptyline in Patients Referred to a Psychiatric Clinic'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.34820/fk2/aawonm/ymstsu
title: ANALISA 5W1H DAN TOR perancangan Protector Pants.pdf

description: dengan analisa 5W1H sebagai rujukan TOR / Design Requirement untuk perancangan awal sebuah Protector Pants untuk pemain skateboard
DOI: 10.34820/fk2/aawonm
title: Analisa 5W1H dan TOR perancangan Protector Pants

description: Data analisa perancangan Protector Pants menggunakan analisa 5W1H dan menghasilkan TOR / Design Requirement
DOI: 10.34820/fk2/trxny6/mctyu2
title: ANALISA ASPEK FUNGSI perancangan Protector Pants.pdf

description: Analisa Fungsi perancangan Protector Pants menggunakan SCAMPER dan analisa User Activity
DOI: 10.34820/fk2/trxny6
title: Analisa Fungsi Perancangan Protector Pants

description: Data Analisa fungsi sebuah perancangan awal Protector Pants dalam aktifitas bermain skateboard
DOI: 10.34820/fk2/wbdrcb/f3jfqa
title: kajian empirik perancangan protector pants.pdf

description: Kajian Empirik Perancangan Protector Pants
DOI: 10.34820/fk2/wbdrcb
title: User Activity / data aktivitas skater di lapangan

description: Data empiris dari hasil observasi lapangan mengenai prilaku para skater saat bermain skateboard. Mulai lokasi, kondisi lokasi, macam aktifitas, hingga resiko terjatuh saat bermain skate beserta posisi-posisi jatuh.
DOI: 10.6084/m9.figshare.19471097
title: Supplementary Data for Figures

description: Data for Figure 2: Characteristics of threatened species and proportion of the five forest disturbance drivers and forests with zero or minor loss within each species range at the global scale. class: taxonomic class (mammal, bird, reptile, or amphibian); major_region: subregion (Russia/Asia, South-East Asia, Oceania, Europe, Africa, North America, or Latin America) where the species' range is; iucn_status: IUCN threatened status (near threatened, NT; vulnerable, VU; endangered, EN; or critically endangered, CR); forest_specialist: forest habitat specialization (TRUE: forest specialist or FALSE: generalist).<br>Data for Figure 4: Predicted temporal trends of IUCN Red List status in tropical subregions (South-East Asia, Africa, and Latin America) interacting with the proportion of focal current forest disturbance driver (Driver): commodity-driven deforestation, shifting agriculture, and forestry. The change in species’ Red List status (Change_rate) was measured as a mean status change within a 10-year window sequentially moved to cover 1988 to 2018. Positive and negative changes represent improving and worsening of the status, respectively. Predictions were obtained by a generalized linear mixed model with the assumption of the proportion of focal disturbance driver was mean (Focal driver: mean), 10th percentile, and 90th percentile of observed proportions, respectively, keeping all other drivers at the mean level. PI_upper and PI_lower represent a 90% prediction interval based on fixed effects of the GLMM.<br>
DOI: 10.6084/m9.figshare.19471097.v1
title: Supplementary Data for Figures

description: Data for Figure 2: Characteristics of threatened species and proportion of the five forest disturbance drivers and forests with zero or minor loss within each species range at the global scale. class: taxonomic class (mammal, bird, reptile, or amphibian); major_region: subregion (Russia/Asia, South-East Asia, Oceania, Europe, Africa, North America, or Latin America) where the species' range is; iucn_status: IUCN threatened status (near threatened, NT; vulnerable, VU; endangered, EN; or critically endangered, CR); forest_specialist: forest habitat specialization (TRUE: forest specialist or FALSE: generalist).<br>Data for Figure 4: Predicted temporal trends of IUCN Red List status in tropical subregions (South-East Asia, Africa, and Latin America) interacting with the proportion of focal current forest disturbance driver (Driver): commodity-driven deforestation, shifting agriculture, and forestry. The change in species’ Red List status (Change_rate) was measured as a mean status change within a 10-year window sequentially moved to cover 1988 to 2018. Positive and negative changes represent improving and worsening of the status, respectively. Predictions were obtained by a generalized linear mixed model with the assumption of the proportion of focal disturbance driver was mean (Focal driver: mean), 10th percentile, and 90th percentile of observed proportions, respectively, keeping all other drivers at the mean level. PI_upper and PI_lower represent a 90% prediction interval based on fixed effects of the GLMM.<br>
DOI: 10.34820/fk2/gvrg2o/rcsvhu
title: Laporan PDT-2 KHI (1).docx

description: :unav
DOI: 10.34820/fk2/gvrg2o
title: ANALISIS IPMA PENERIMAAN PENGGUNAAN TEKNOLOGI CELOE LEARNING MANAGEMENT SYSTEM (LMS) PADA MAHASISWA TELKOM UNIVERSITY

description: Pandemi COVID 19 yang sedang terjadi saat ini menyebabkan masalah besar di seluruh dunia termasuk pada dunia pendidikan yang mengalami perubahan sistem pembelajarannya. Pembelajaran jarak jauh sekarang digunakan oleh seluruh perguruan tinggi di Indonesia karena dampak dari pandemi tersebut. Telkom University membuat teknologi e-learning yang dinamakan dengan CeLOE Learning Management System (LMS) sebagai platform pembelajaran jarak jauh untuk seluruh dosen dan mahasiswa. Tujuan dari penelitian ini yaitu untuk mengetahui importance rating dengan menggunakan IPMA dari faktor – faktor yang mempengaruhi penerimaan teknologi CeLOE LMS dengan menggunakan General Extended Technology Acceptance Model for E-Learning (GETAMEL). Sampel minimal pada penelitian ini berjumlah minimal 379 sampel responden yang dilakukan oleh pengguna CeLOE LMS. Penelitian ini menggunakan teknik sampling non-probabilitas dan teknik analisis yang digunakan pada penelitian ini adalah PLS-SEM dengan menggunakan software SmartPLS 3.2.9.
DOI: 10.5281/zenodo.6400255
title: Implications of emission sources and biosphere exchange on temporal variations of CO2 and δ13C using continuous atmospheric measurements at Shadnagar (India)

description: The data contains daily atmospheric CO2 mixing ratios and 13C of CO2 over the Shadnagar region of India during November 2018 to October 2019.
DOI: 10.25934/pr00006747.0
title: Available IPD datapackage for study 'Study comparing the effects of oral Paroxetine and Amitriptyline in adult patients with depression'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/pr00006744.0
title: Available IPD datapackage for study 'A Double Blind Study to Compare the Efficacy and Tolerability of Paroxetine and Amitriptyline in a Multi-Centre General Practice Study in Depressed Patients'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.19471352
title: Species list from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: The species list used in this study, with species' contributed PD values appended.
DOI: 10.6084/m9.figshare.19471352.v1
title: Species list from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: The species list used in this study, with species' contributed PD values appended.
DOI: 10.6084/m9.figshare.19471355.v1
title: List of PD contributions by taxonomic order from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: PD contributions grouped by order and decade, supplemental to Figure 3 of the main text.
DOI: 10.6084/m9.figshare.19471355
title: List of PD contributions by taxonomic order from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: PD contributions grouped by order and decade, supplemental to Figure 3 of the main text.
DOI: 10.6084/m9.figshare.19471358
title: Merged phylogenetic trees from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: The 1000 merged phylogenetic trees used in this study, in Newick format. Tip labels use species scientific names from the original source trees.
DOI: 10.6084/m9.figshare.19471358.v1
title: Merged phylogenetic trees from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: The 1000 merged phylogenetic trees used in this study, in Newick format. Tip labels use species scientific names from the original source trees.
DOI: 10.6084/m9.figshare.19471361
title: PD contributions R code from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: R code for calculating marginal PD contributions on merged trees.
DOI: 10.6084/m9.figshare.19471361.v1
title: PD contributions R code from Tracking scientific discovery of avian phylogenetic diversity over 250 years

description: R code for calculating marginal PD contributions on merged trees.
DOI: 10.6084/m9.figshare.19471034
title: Seforra

description: data set seforra intelligent system
DOI: 10.6084/m9.figshare.19471034.v2
title: Seforra

description: data set seforra intelligent system
DOI: 10.6084/m9.figshare.19471034.v1
title: Seforra

description: data set seforra intelligent system
DOI: 10.25934/pr00006751.0
title: Available IPD datapackage for study 'Early Clinical Evaluation of a New Antidepressant: A Double-Blind Parallel Study Comparing Paroxetine 30mg Daily with Amitriptyline 150mg Daily'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25910/vvcq-jf64
title: Reference Zircon Round Robin

description: Direct contact alex.lafontaine@sydney.edu.au 
Source of data: ACMM, University of Sydney: lead the round robin experiment with 9 international institutes Significance 
Round robin data on reference zircon
DOI: 10.5281/zenodo.5837956
title: Improving environmental performances of integrated bladed rotors for aircraft

description: Supplementary Materials for publication Rupcic et al. 2022, Improving environmental performances of integrated bladed rotors for aircraft
DOI: 10.5281/zenodo.5837955
title: Improving environmental performances of integrated bladed rotors for aircraft

description: Supplementary Materials for publication Rupcic et al. 2022, Improving environmental performances of integrated bladed rotors for aircraft
DOI: 10.25934/pr00006750.0
title: Available IPD datapackage for study 'A multi-centre study to assess the effectiveness and tolerance of paroxetine by double-blind comparison with amitriptyline'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25910/mrj5-mf20
title: Pure aluminium datasets
DOI: 10.34820/fk2/ufhgou/0mgfpc
title: Data 1 TYPOGRAPHY ON DESIGN T SHIRT SUPORTER PERSIB.pdf

description: :unav
DOI: 10.34820/fk2/ufhgou
title: Typography On Design T Shirt Suporter Persib

description: Berikut ialah dataverse dari penelitian berjudul Typography On Design T Shirt Suporter Persib, pada penelitian ini menelaah mengenai penerapan prinsip gestalt yang meliputi similiarity, continuation, proximity, dan closure pada penerapan tipografi di desain tshirt .supporter Persib Bandung
DOI: 10.34820/fk2/jfjxwg/upe3al
title: GSE10072.csv

description: NSCLC (lung cancer) micro array dataset for classification -GSE10072
DOI: 10.25345/c5ks6j806
title: MassIVE MSV000089169 - Validated Determination of NRG1 Ig-like Domain Structure by Mass Spectrometry Coupled with Computational Modeling
title: High resolution-hydroxyl radical protein footprinting LC-MS/MS files of NRG1-Ig like domain.
DOI: 10.25934/pr00004993.0
title: Available IPD datapackage for study 'A multicentre, double-blind, randomised dose titration study comparing the pharmacodynamics and pharmacokinetics of paroxetine 20mg increasing to 30mg daily and amitriptyline 100mg increasing to 150mg daily in geriatric patients (age >65 years) with major depression.'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5517/ccdc.csd.cc29265s
title: CCDC 2117274: Experimental Crystal Structure Determination

description: Related Article: Shazia Iqbal, Maria A. Khan, Almas Jabeen, Sammer Yousuf, Fatima Zafar, Farhana Batool, Muhammad Uzair Ganatra, Fatima Z. Basha|2022|J.Mol.Struct.|1261|132796|doi:10.1016/j.molstruc.2022.132796
DOI: 10.5517/ccdc.csd.cc29266t
title: CCDC 2117275: Experimental Crystal Structure Determination

description: Related Article: Shazia Iqbal, Maria A. Khan, Almas Jabeen, Sammer Yousuf, Fatima Zafar, Farhana Batool, Muhammad Uzair Ganatra, Fatima Z. Basha|2022|J.Mol.Struct.|1261|132796|doi:10.1016/j.molstruc.2022.132796
DOI: 10.5517/ccdc.csd.cc29267v
title: CCDC 2117276: Experimental Crystal Structure Determination

description: Related Article: Shazia Iqbal, Maria A. Khan, Almas Jabeen, Sammer Yousuf, Fatima Zafar, Farhana Batool, Muhammad Uzair Ganatra, Fatima Z. Basha|2022|J.Mol.Struct.|1261|132796|doi:10.1016/j.molstruc.2022.132796
DOI: 10.25910/xcvv-0v66
title: Cu plates and Sn precipitates in Al-1.7%Cu-0.05%Sn alloy
DOI: 10.34820/fk2/lhsco2/hdzgvm
title: Data 1 - Hasil Analisis Teknik Editing pada Iklan Animasi Khong Guan Sebuah Kenangan Manis.pdf

description: :unav
DOI: 10.34820/fk2/lhsco2
title: Data 1 - Hasil Analisis Teknik Editing pada Iklan Animasi Khong Guan Sebuah Kenangan Manis

description: Hasil analisis teknik editing gambar shot pada iklan animasi Khong Guan Sebuah Kenangan Manis dalam penelitian Strategi Komunikasi Visual pada Iklan Animasi Khong Guan Sebuah Kenangan Manis
DOI: 10.25910/pgb9-rx82
title: Human tooth enamel dataset for Atomic-scale compositional mapping reveals Mg-rich amorphous calcium phosphate in human dental enamel
DOI: 10.25910/w51n-k824
title: Low-angle boundary in Zircon DN5 dataset for Deformation-induced trace element redistribution in zircon revealed using atom probe tomography
DOI: 10.34820/fk2/jfjxwg
title: NSCLC (Non-small cell lung cancer) gene expression dataset for classification

description: NSCLC (lung cancer) micro array dataset for classification
DOI: 10.5281/zenodo.6400327
title: DeepBacs – Escherichia coli release from stationary phase - Bright field segmentation dataset and StarDist model

description: Training and test images of live <em>E. coli</em> cells imaged under bright field for the task of segmentation. Additional information can be found on this github wiki. The example shows a bright field image of live <em>E. coli </em>cells of an overnight culture and the manually annotated segmentation mask. <strong>Data type</strong>: Paired bright field and segmented mask images <strong>Microscopy data type</strong>: 2D bright field images recorded at 2 min interval <strong>Microscope</strong>: Nikon Eclipse Ti-E equipped with an Apo TIRF 1.49NA 100x oil immersion objective <strong>Cell type</strong>: <em>E. coli</em> MG1655 wild type strain (CGSC #6300). <strong>File format</strong>: .tif (8-bit) <strong>Image size</strong>: 512 x 512 px² (106 nm / pixel), 19/15 individual frames (training/test dataset) 512 x 512 px² (106 nm / pixel), 7 regions of interest with 20 frames @ 2 min time interval (live-cell time series) <strong>Data annotation</strong>: Images were annotated using the Fiji freehand selection tool. <strong>Image preprocessing</strong>: Time series were stabilized using the Fiji plugin StackReg and the 480 x 480 px center region was cropped <strong>StarDist model</strong> The StarDist 2D model was trained from scratch for 200 epochs on 33 paired image patches (image dimensions: (512, 512 px²), patch size: (512 x 512 px²)) with a batch size of 2, 80 rays, grid size 1, 4-fold data augmentation and a mae loss function, using the StarDist 2D ZeroCostDL4Mic notebook (v 1.13) (von Chamier & Laine et al., 2020). Key python packages used include tensorflow (v 0.1.12), Keras (v2.3.1), csbdeep (v 0.6.3), numpy (v 1.21.5), cuda (v 11.1.105). The training was accelerated using a Tesla K80 GPU. Model weights can be used with the ZeroCostDL4Mic StarDist 2D notebook or the Fiji StarDist plugin. <br> <strong>Author(s)</strong>: Christoph Spahn<sup>1,2</sup>, Mike Heilemann<sup>1,3</sup> <strong>Contact email</strong>: christoph.spahn@mpi-marburg.mpg.de <strong>Affiliation(s)</strong>: 1) Institute of Physical and Theoretical Chemistry, Max-von-Laue Str. 7, Goethe-University Frankfurt, 60439 Frankfurt, Germany 2) ORCID: 0000-0001-9886-2263 3) ORCID: 0000-0002-9821-3578
DOI: 10.5281/zenodo.6400326
title: DeepBacs – Escherichia coli release from stationary phase - Bright field segmentation dataset and StarDist model

description: Training and test images of live <em>E. coli</em> cells imaged under bright field for the task of segmentation. Additional information can be found on this github wiki. The example shows a bright field image of live <em>E. coli </em>cells of an overnight culture and the manually annotated segmentation mask. <strong>Data type</strong>: Paired bright field and segmented mask images <strong>Microscopy data type</strong>: 2D bright field images recorded at 2 min interval <strong>Microscope</strong>: Nikon Eclipse Ti-E equipped with an Apo TIRF 1.49NA 100x oil immersion objective <strong>Cell type</strong>: <em>E. coli</em> MG1655 wild type strain (CGSC #6300). <strong>File format</strong>: .tif (8-bit) <strong>Image size</strong>: 512 x 512 px² (106 nm / pixel), 19/15 individual frames (training/test dataset) 512 x 512 px² (106 nm / pixel), 7 regions of interest with 20 frames @ 2 min time interval (live-cell time series) <strong>Data annotation</strong>: Images were annotated using the Fiji freehand selection tool. <strong>Image preprocessing</strong>: Time series were stabilized using the Fiji plugin StackReg and the 480 x 480 px center region was cropped <strong>StarDist model</strong> The StarDist 2D model was trained from scratch for 200 epochs on 33 paired image patches (image dimensions: (512, 512 px²), patch size: (512 x 512 px²)) with a batch size of 2, 80 rays, grid size 1, 4-fold data augmentation and a mae loss function, using the StarDist 2D ZeroCostDL4Mic notebook (v 1.13) (von Chamier & Laine et al., 2020). Key python packages used include tensorflow (v 0.1.12), Keras (v2.3.1), csbdeep (v 0.6.3), numpy (v 1.21.5), cuda (v 11.1.105). The training was accelerated using a Tesla K80 GPU. Model weights can be used with the ZeroCostDL4Mic StarDist 2D notebook or the Fiji StarDist plugin. <br> <strong>Author(s)</strong>: Christoph Spahn<sup>1,2</sup>, Mike Heilemann<sup>1,3</sup> <strong>Contact email</strong>: christoph.spahn@mpi-marburg.mpg.de <strong>Affiliation(s)</strong>: 1) Institute of Physical and Theoretical Chemistry, Max-von-Laue Str. 7, Goethe-University Frankfurt, 60439 Frankfurt, Germany 2) ORCID: 0000-0001-9886-2263 3) ORCID: 0000-0002-9821-3578
DOI: 10.15151/esrf-es-671836304
title: Multi-scale Multi-techniques investigations of Li-ion batteries: towards a European Battery Hub

description: In this science-driven Long-Term proposal, we propose a 3-years multi-beamline program tackling grand challenges for actual, emerging and future battery technologies. We will deploy advanced methodologies for accelerating research by setting new cooperation modes for multi-techniques multi-scale studies. Three chemistry-neutral scientific cases have been identified to fulfil this LTP: bulk-to-surface mechanisms, high energy system and smart sensing. Multiple, time-coordinated, interoperable spectroscopic, imaging & scattering techniques will be implemented. This proposal is the Pilot Phase towards a European Battery Hub aiming at accelerating workflows in battery research by optimizing the exceptional diversity of means available at ESRF. We expect to demonstrate the added value of a new “proposal” mechanism, e.g. science-driven beamtime allocation group, serving the fast growing, highly competitive and rapidly evolving European battery community.
DOI: 10.15151/esrf-es-762250543
title: continuation of IHCH1606

description: alignment of beamline, measurement of ex situ capillaries and setup for CH-6230