cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3g64dv6dr5.1
title: Amplifying local serotonin signaling prior to dry-off regulates mammary gland involution and redevelopment in dairy cows - Supplementary Data

description: Interpretive Summary
Serotonin is a bioactive monoamine that regulates mammary gland homeostasis during lactation and stimulates mammary involution after milk stasis. We intramammary infused 5-Hydroxy-L-tryptophan, a modified tryptophan and serotonin precursor, via the teat canal for 5 d prior to dry off to measure key cellular processes in the mammary gland during the dry period of dairy cows. Increasing local mammary serotonin concentrations prior to dry-off downregulated milk protein and tight junction genes and increased cell death in early involution, while it increased mammary epithelial cell number and alveoli lumen area, upregulated milk protein genes, and increased proliferating cells as parturition approached. Amplifying serotonin signaling hastens key cellular events leading to a more efficient mammary involution and redevelopment.  

Supplemental Figure 1:
Holstein dairy cows receiving intramammary infusions of 5-Hydroxy-L-Tryptophan (5-HTP) or sterile water (CON) for 5 d prior to dry-off (d0). (A) No difference in milk yield in 5-HTP cows compared to CON (P = 0.70) however, there was a main effect of day (P = 0.0003). (B) No difference in dry matter intake in pre-dry-off (P = 0.23) and post-dry-off (P =0 .12) in 5-HTP cows compared to CON. Significance declared at (*) P ≤ 0.05 and (#) denotes a statistical tendency at 0.05 < P ≤ 0.10.

Supplemental Table 1: 
Nutrient composition of total mixed rations fed to lactating and non-lactating multiparous Holstein dairy cows adapted from Cumberland Valley Analytical Services (Waynesboro, PA). 

Supplemental Table 2: 
Supplemental Table 2 
Primer sequences utilized for real time PCR analysis of genes involved in tight junctions, milk proteins, serotonin synthesis and metabolism, apoptosis, cell signaling, extra cellular matrix remodeling genes in the mammary gland of Holstein dairy cows. All primer sequences were designed to span exon-exon junctions, to minimize the potential of amplifying genomic DNA, using Primer3 software with sequences obtained from GenBank (http://www.ncbi.nlm.nih.gov/). All primer pairs displayed melting curves with a single peak, indicative of a pure, single amplicon, confirmed the specificity of the primers.
DOI: 10.17632/7gkw7v5zst.1
title: Result of EFA & CFA Digital Resilience

description: The dataset is result of EFA using JAS-P 0.16.3.0 and CFA using IBM Amos 22
DOI: 10.17632/68mzswxccg.1
title: Result of EFA & CFA Digital Literacy

description: The dataset is result of EFA using JAS-P 0.16.3.0 and CFA using IBM Amos 22
DOI: 10.17632/hjdh2kg9db.1
title: HCF subchannel data

description: This is the database of the article "Numerical Study on the transverse mixing Characteristics of the Flow Sweeping in Helical cruciform Rod Bundle"
DOI: 10.17632/h2cn737s65.1
title: Sourcecode - Simulation and experimental studies of self-healing capacity in cement mortars incorporating cement-based capsules

description: In the present Python source code the random distribution of capsules containing healing agent is simulated in view of crack healing in cement bodies. A predefined number of spherical capsules with a size following either normal or log-normal distribution is randomly placed in a box-shaped cement body. The true volume percentage of the capsules is calculated as well as the apparent volume percentage in a section in the center of the specimen. Furthermore a crack is simulated in this section calculating the healing agent released from broken capsules at increasing crack depth taking into account shell thickness of the capsules as well as potential swelling of the healing agent. The Python source code has been used in the case study 'Simulation and experimental studies of self-healing capacity in cement mortars incorporating cement-based capsules' by S. Papaioannou, A. Hein, M. Amenta, V. Kilikoglou, D. Gournis, I. Karatasios in order to monitor experimental results.
DOI: 10.17632/bm5jdh3jdk.1
title: Anomaly score

description: Ansorena, Iñigo L (2020), “Anomaly score”, Mendeley Data, V1, doi: 10.17632/bm5jdh3jdk.1
The file contains the initial dataset along with the anomaly score and the field importance (weight) for each vessel.
DOI: 10.17632/bzpzzw9tdc.1
title: Climate-Change Refugia for the Bubblegum Coral Paragorgia arborea in the Northwest Atlantic

description: The large, habitat-forming bubblegum coral, Paragorgia arborea, is a vulnerable marine ecosystem indicator with an antitropical distribution. Dense aggregations of the species have been protected from bottom-contact fishing in the Scotian Shelf bioregion off Nova Scotia, Canada in the northwest Atlantic Ocean. Recently, basin-scale habitat suitability ensemble modeling has projected an alarming loss of 99% of suitable habitat for this species across the North Atlantic by 2100. Here, a regional reassessment of the predicted distribution of this species in the bioregion, using both machine learning (random forest) and generalized additive model (GAM) frameworks, including projection to 2046−2065, was undertaken. Extrapolation diagnostics were applied to determine the degree to which the models projected into novel covariate space (i.e., extrapolation) in order to avoid erroneous inferences. The best predictors of the species’ distribution were a suite of temporally-invariant terrain variables that identified suitable habitat along the upper continental slope. Additional predictors, projected to vary with future ocean climatologies, identified areas of the upper slope in the eastern portion of the study area that will remain within suitable ranges for P. arborea at least through to the mid-century. Additionally, 3-D Lagrangian particle tracking simulations indicated potential for both connectivity among known occurrence sites and existing protected areas, and for colonization of unsurveyed areas predicted to have suitable habitat, from locations of known occurrence. These results showed that extirpation of this iconic species from the Scotian Shelf bioregion is unlikely over the next decades. Potential climate refugia were identified and results presented in the context of protected area network design properties of representativity, connectivity, adequacy, viability and resilience.

Here we provide the locations for presence and absence records for P. arborea (response data) and the interpolated environmental predictor variables used in present day and future species distribution models. Predicted surfaces from random forest (RF) and generalized additive models (GAM) are provided for present day and projected (RCP4.5 and RCP8.5 2045-2065) time frames. Outputs after applying extrapolation diagnostic tools (calculated using the R package dsmextra) are provided for each model. Climate change refugia for this species under the RCP4.5 2045-2065 projections are found in the Fig8 folder showing analogue conditions. Explanations for the surfaces can be found in Wang, Murillo & Kenchington (2022) and in the associated supplementary files. Links to both are provided (see related links). 

Reference:
Wang S, Murillo FJ and Kenchington E (2022) Climate-Change Refugia for the Bubblegum Coral Paragorgia Arborea in the Northwest Atlantic. Front. Mar. Sci. 9:863693. doi: 10.3389/fmars.2022.863693
DOI: 10.17632/yjz456k7n3.1
title: Agricultural Small-medium Enterprises

description: data is used by 371 agricultural small-medium enterprises in China.The data collection was conducted in China from November 19th to December 23rd in 2021, collaborated with the local economic and information commission. In the beginning, we distributed survey questionnaires to each agricultural enterprise and then collected them after they had finished.
DOI: 10.17632/gjszw48msw.2
title: Fusion of 3D Feature Extraction and Feature Selection Techniques to Enhance Classification of Spinocerebellar Ataxia Type 12

description: Pre-processed (Segmented GM and WM) 3D T1 MRI data in SCA12
DOI: 10.17632/zw5dsdszh4.1
title: Flying Foxes Optimization Algorithm - Matlab Code

description: This simplified Matlab demo code shows how to use the new Fuzzy self-tuning Flying Foxes Optimization to solve global optimization problems.
DOI: 10.17632/k4mnt33tyc.1
title: Proposal of life cycle-based environmental performance indicators for decision-making in construction - Supplementary Material

description: Supplementary material to the thesis, containing:
- The list of environmental aspects covered by the green building rating systems analyzed in Chapter 2
- The form used in the stakeholder survey mentioned in Chapter 2
- The Excel file with the detailed life cycle inventory of the house analyzed in Chapter 3
DOI: 10.17632/5d6kffbmtw.1
title: THE EFFECTS OF A PSYCHOLINGUISTIC APPROACH TO MULTISENSORY INSTRUCTION ON  PSYCHOLINGUISTIC ABILITIES  OF CHILDREN WITH LEARNING DISABILITIES

description: THE EFFECTS OF A PSYCHOLINGUISTIC APPROACH TO MULTISENSORY INSTRUCTION ON  PSYCHOLINGUISTIC ABILITIES  OF CHILDREN WITH LEARNING DISABILITIES
DOI: 10.17632/k4mnt33tyc.2
title: Proposal of life cycle-based environmental performance indicators for decision-making in construction - Supplementary Material

description: Supplementary material to the thesis, containing:
- The list of environmental aspects covered by the green building rating systems analyzed in Chapter 2
- The form used in the stakeholder survey mentioned in Chapter 2
- The Excel file with the detailed life cycle inventory of the house analyzed in Chapter 3
- The Excel file with the life cycle inventory and LCA results of the sensitivity analysis presented in Appendix A
DOI: 10.17632/5b9tzmmbnm.1
title: Dataset on Nutritional Composition, Sensory Analysis and Shelf Life Stability of Quelea Birds Meat Based Instant Complementary Foods in Tanzania Prepared By using Linear Programming Technique.

description: This Data in Brief article provides four tables, five figures and their raw data (as supplementary material). Table 1 is about proximate composition which corresponds to raw data (S 1), Table 2 is about mineral contents which correspond to raw data (S 2) and Table 3 and Figure 3 present quantitative deceptive analysis, (mean intensity scores) and Principal component analysis bi-plot correspond to raw data in file S 4. Furthermore, Table 4 and Figure 5 present shelf life predictions of complementary flour formulation which corresponds to raw data file S 6 while Figures 1 and 2 present vitamin A contents (Retinol and beta-carotene) which correspond to raw data file S 3. Figure 4 presents the overall mean hedonic score showing the consumer acceptability of the developed flours which corresponds to raw data S5.
DOI: 10.17632/d9xmv47y66.1
title: Surrogate Model of FE Corrosion Model

description: This repository consists of the code and a pre-trained model. The code is written in Wolfram Language. The code is LapCor9.nb. The pre-trained model is pretrained_corbox _ 1.mx. 
The code consists of an FE model of two-dimensional electrochemical corrosion with rectangular geometry. The model is based on Laplace's equation. The surrogate model is based on Gaussian Process Regression. 
The outputs from previous executions are left intact.
DOI: 10.17632/v398vj34h6.1
title: Dataset related to MOOCs

description: The dataset presents determinants (i.e. confirmation, learner's satisfaction, perceived usefulness, flow experience and learning self-efficacy) that influencing learners’ intention to continue using massive open online courses (MOOCs) for personal or professional development.
DOI: 10.17909/qn07-rt28
title: NIRSpec Data of J1652
DOI: 10.5281/zenodo.7072580
title: IODP Expedition 351 Moisture and Density

description: Moisture and density (MAD) data were acquired on ~10 mL sediment or rock samples by measuring three out of four material parameters: wet (saturated) mass, wet volume, dry mass, and/or dry volume after 24 h drying in a convection oven at 105 degrees C. From the moisture and volume measurements, the following phase relationships are calculated: wet and dry water content, wet bulk density, dry bulk density, grain density, porosity, and void ratio. The combination of measurements is defined by the submethod chosen: A, B, C, or D. Wet (A, B, or C) and dry (A, B, C, or D) mass is determined using motion-compensated balances. Wet volume is determined either by helium pycnometry (A) or by the sample's geometric dimensions using calipers (A or D). Dry volume (C or D) is measured by helium pycnometry. Submethods A and B are not recommended by IODP. Submethod C is suitable for saturated materials such as fine-grained sediments. Submethod D is suitable for unsaturated porous material such as certain limestones and basalts.
DOI: 10.5281/zenodo.7072579
title: IODP Expedition 351 Moisture and Density

description: Moisture and density (MAD) data were acquired on ~10 mL sediment or rock samples by measuring three out of four material parameters: wet (saturated) mass, wet volume, dry mass, and/or dry volume after 24 h drying in a convection oven at 105 degrees C. From the moisture and volume measurements, the following phase relationships are calculated: wet and dry water content, wet bulk density, dry bulk density, grain density, porosity, and void ratio. The combination of measurements is defined by the submethod chosen: A, B, C, or D. Wet (A, B, or C) and dry (A, B, C, or D) mass is determined using motion-compensated balances. Wet volume is determined either by helium pycnometry (A) or by the sample's geometric dimensions using calipers (A or D). Dry volume (C or D) is measured by helium pycnometry. Submethods A and B are not recommended by IODP. Submethod C is suitable for saturated materials such as fine-grained sediments. Submethod D is suitable for unsaturated porous material such as certain limestones and basalts.
DOI: 10.5281/zenodo.7068818
title: SALT3-NIR

description: A fully trained SALT model for Type Ia supernova light curve evolution from 2,000-20,000 Angstrom.
description: {"references": ["Pierel et al., 2022", "Kenworthy et al., 2021"]}
DOI: 10.5281/zenodo.7068817
title: SALT3-NIR

description: A fully trained SALT model for Type Ia supernova light curve evolution from 2,000-20,000 Angstrom.
description: {"references": ["Pierel et al., 2022", "Kenworthy et al., 2021"]}
DOI: 10.5517/ccdc.csd.cc2c0whs
title: CCDC 2175595: Experimental Crystal Structure Determination

description: Related Article: Stephanie Almada, Luísa B. Maia, João C. Waerenborgh, Bruno J. C. Vieira, Nuno P. Mira, Elisabete R. Silva, Fátima Cerqueira, Eugénia Pinto, Luis G. Alves|2022|New J.Chem.|46|16764|doi:10.1039/D2NJ03161B
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.cc2c2b71
title: CCDC 2176982: Experimental Crystal Structure Determination

description: Related Article: Dong-Dong Yang, Fan-Qi Meng, Han-Wen Zheng, Yong-Sheng Shi, Tong Xiao, Bo Jin, Qiong-Fang Liang, Xiang-Jun Zheng, Hong-Wei Tan|2022|Mater. Chem. Front.|6|2709|doi:10.1039/D2QM00618A
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.cc2c2b82
title: CCDC 2176983: Experimental Crystal Structure Determination

description: Related Article: Dong-Dong Yang, Fan-Qi Meng, Han-Wen Zheng, Yong-Sheng Shi, Tong Xiao, Bo Jin, Qiong-Fang Liang, Xiang-Jun Zheng, Hong-Wei Tan|2022|Mater. Chem. Front.|6|2709|doi:10.1039/D2QM00618A
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.cc2c2b93
title: CCDC 2176984: Experimental Crystal Structure Determination

description: Related Article: Dong-Dong Yang, Fan-Qi Meng, Han-Wen Zheng, Yong-Sheng Shi, Tong Xiao, Bo Jin, Qiong-Fang Liang, Xiang-Jun Zheng, Hong-Wei Tan|2022|Mater. Chem. Front.|6|2709|doi:10.1039/D2QM00618A
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.cc2c2bb4
title: CCDC 2176985: Experimental Crystal Structure Determination

description: Related Article: Dong-Dong Yang, Fan-Qi Meng, Han-Wen Zheng, Yong-Sheng Shi, Tong Xiao, Bo Jin, Qiong-Fang Liang, Xiang-Jun Zheng, Hong-Wei Tan|2022|Mater. Chem. Front.|6|2709|doi:10.1039/D2QM00618A
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.cc2c3lcg
title: CCDC 2178195: Experimental Crystal Structure Determination

description: Related Article: Weixing Liu, Wei Duan, Qiang Zhang, Xianjin Gong, Jinlei Tian|2022|New J.Chem.|46|17004|doi:10.1039/D2NJ03197C
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: 10.5281/zenodo.7072582
title: IODP Expedition 351 Core orientation

description: Core orientation data were measured downhole during advanced piston corer (APC) coring, either by Minex FlexIT or Icefield MI-5 core orientation tool. These tools measure magnetic strength and orientation, 3-axis accelerometer data, and tool temperature data.
DOI: 10.5281/zenodo.7072581
title: IODP Expedition 351 Core orientation

description: Core orientation data were measured downhole during advanced piston corer (APC) coring, either by Minex FlexIT or Icefield MI-5 core orientation tool. These tools measure magnetic strength and orientation, 3-axis accelerometer data, and tool temperature data.
DOI: 10.15787/vtt1/vaebnm
title: Autonomous Delivery Vehicle as a Disruptive Technology: How to Shape the Future with a Focus on Safety? (05-087)

description: Project Description: The goal of this project was to perform safety implication analysis and safety impact analysis of ADVs. This project used five different datasets to perform the analysis. ADV related operation design domain (ODD) scenarios were determined to examine the real-world collision data. This study generates a total of 80 association rules with high likelihood measures for these datasets. The rules can be used as the prospective benchmark rules to examine how these rule-based risk patterns can be replaced by ADVs by eliminating human-driven grocery related trips. The research team used five separate databases to perform the analysis: Fatality Analysis Reporting System (FARS) [2016-2020] Crash Report Sampling System (CRSS) [2016-2020] California AV and ADV collision Data [2014-2020] Waymo Open Data Third party ADV Trajectory Data (sample data) Data Scope: FARS ADV ODD Scenario dataset (FARS_ADV_ODD_Scenario_VehicleLevel_2016_2020.csv) was used to determine the benchmark rules from real-world FARS data. California AV collision associated with delivery inclusive AV companies (California_Collisions_Delivery_Inclusive_AV_Companies_2014_2021.csv) was used to determine the benchmark rules from real-world collision data. Third-party ADV trajectory sample data (ThirdParty_ADV_Trajectory_2021_Jan_Jun.xlsx) with top 99 trips are listed with event information statistics (mean and rank based on mean values) for hard brake, over speeding, and excessive over speeding. Data Specification: See Table 1-3 for description of each variable included in the datasets.
DOI: 10.5281/zenodo.6849747
title: TrypTag: plate U8379 (replicate dated 20160714)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U8379, replicate dated 20160714.
DOI: 10.5281/zenodo.6849748
title: TrypTag: plate U8379 (replicate dated 20160714)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U8379, replicate dated 20160714.
DOI: 10.5281/zenodo.7072530
title: TrypTag: plate U8379 (replicate dated 20160714)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U8379, replicate dated 20160714.
DOI: 10.5281/zenodo.6850197
title: TrypTag: plate U8505 (replicate dated 20161025)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U8505, replicate dated 20161025.
DOI: 10.5281/zenodo.6850196
title: TrypTag: plate U8505 (replicate dated 20161025)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U8505, replicate dated 20161025.
DOI: 10.5281/zenodo.7072533
title: TrypTag: plate U8505 (replicate dated 20161025)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U8505, replicate dated 20161025.
DOI: 10.5281/zenodo.6850241
title: TrypTag: plate U8507 (replicate dated 20161027)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U8507, replicate dated 20161027.