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Fig. 1 in A phylogeographic framework for the conservation of Saharan and Arabian Dorcas gazelles (Artiodactyla: Bovidae)
Fig. 1 Potential distribution (gray shaded) of Dorcas gazelles (G. dorcas) according to IUCN antelope survey reports (East 1988a, b; Mallon and Kingswood 2001) including sampling locations of wild specimens of Dorcas (♦) and Saudi gazelles () used in this study.
SMMGCL: A novel multi-scale graph contrastive learning framework for integrating spatial multi-omics data
Open the record for dataset details and reuse information.
Dimensions of Quality framework for evaluating management system: a case study in the construction industry
<p><span>Dimensions of Quality potential applications for improving management systems and products in building development have not been fully explored. The objective of this study is to use the service quality dimensions as a framework for quality assessment that can serve as a continuous improvement tool to evaluate whether the management system supports construction building projects and whether these projects are in line with the system. Thirteen dimensions were adapted from studies focused on improved management systems, quality product and customer services, and Brazilian requirements standards for management in civil construction: Performance, Ease of Use, Availability, Reliability, Maintainability, Durability, Conformity, Installation and Direction of Use, Technical Support, User Interface, Environmental Interface, Appearance, and Perceived Quality and Brand Image. A case study was conducted to validate the framework as a continuous improvement tool applied to the management system of a construction company. As a result, the construction company's management system was evaluated due to the excellent scores received by the ABC Building Project on all available dimensions of quality, which shows that the company's management system is suitable for this product portfolio.</span></p>
Portuguese overseas railway legal framework (1857-1910) / Enquadramento legal do caminho de ferro ultramarino de Portugal (1857-1910)
<p>The research developed within the scope of the ArchWar project “Dominance and mass-violence through Housing and Architecture during colonial wars. The Portuguese case (Guinea-Bissau, Angola, Mozambique): colonial documentation and post-independence critical assessment” (ref. PTDC/ART-DAQ/0592/2020) along with the archival management carried out at the Historic Overseas Archive, in Lisbon, in due time, will allow to unravel the impact of this colonial infrastructure on the Portuguese colonial project, taking into account both landscapes - the archival and the legal framework.</p> <p>Interdisciplinary discussions that explore the intersection of Architectural History and Legal History are extremely valuable to the scientific debate. As Architectural History expands towards the cultural history of the built environment, surpassing traditional focus on design and artistic aspects, Legal History encompasses a broader scope than legislated law, including legal institutions, practices, and procedures. By intertwining these fields, investigation may seek to shed light on the complex relationships between law, society, and Architecture – an area of research that remains largely unexplored. Through the examination of legal documents, regulations, and practices, one may seek to uncover the hidden legal facts embedded within the built environment, from territories and urban spaces to everyday dwellings – including colonial contexts.</p> <p>This dataset gathers significant informational value of legal aspects, revealing and enhancing the understanding of historical building practices regarding railways in colonial contexts, performed by the Portuguese administration. As railways serve as a key example to study legal transplantation and reception in colonial territory, it does allow us to explore the intersection of architectural and legal history. The dataset surveys the legal framework, texts, and legal documents that influenced the planning and construction of Angola (including borders with Zaire), Mozambique (including borders with Swaziland), and the Indian possessions of Portugal. The document also includes legislation on works and improvements, including Angola and Mozambique, Cape Verde and São Tomé and Principe.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Figure 7 in A morphometric and genetic framework for the genus Gazella de Blainville, 1816 (Ruminantia: Bovidae) with special focus on Arabian and Levantine mountain gazelles
Figure 7. Classification of the female Gazella arabica rueppelli type skull ZMB_MAM_2108. A, B, bi-variate plots of specimen scores for main components in PCA 7; C, D, bi-variate plots of specimen scores for discriminant functions in DA 7. The wild G. arabica specimen is marked with 'W'.
Figure 4 in A morphometric and genetic framework for the genus Gazella de Blainville, 1816 (Ruminantia: Bovidae) with special focus on Arabian and Levantine mountain gazelles
Figure 4. Bi-variate plots of specimen scores for main components in PCAs with optimized variable sets. A, B, males, PCA 4; C, D, females, PCA 5.
Figure 3. A in A morphometric and genetic framework for the genus Gazella de Blainville, 1816 (Ruminantia: Bovidae) with special focus on Arabian and Levantine mountain gazelles
Figure 3. A, separation of the sexes in discriminant analysis. B, C, bi-variate plots of specimen scores for main components in PCA 1 including all specimens and 13 variables. B, separation of males and females by components 1 and 2; C, separation of the species by components 3 and 4.
Figure 5 in Form and function within a phylogenetic framework: locomotory habits of extant predators and some Miocene Sparassodonta (Metatheria)
Figure 5. Morphospaces defined by the first two shape axes for the tibia. A, B, relative warps (RWs); C, D, relative warps residuals (RRWs) after phylogenetic autocorrelation analysis; E, F, RRWs after phylogenetic eigenvector regression analysis. In A, C, and E, taxonomic groups are indicated by the symbols. In B, D, and F, locomotory groups are indicated by the symbols. Taxonomic group symbols: Ailuridae, Canidae, Dasyuridae, Didelphidae, Felidae, Herpestidae, Hyaenidae, Mephitidae, Mustelidae, Procyonidae, Thylacinidae, Ursidae, Viverridae, Sparassodonta species. Locomotory groups symbols: cursorial eutherians, cursorial metatherians, terrestrial eutherians,
Figure 4 in A phylogeographical framework for Zhangixalus gliding frogs, with insight on their plasticity of nesting behaviour
Figure 4. Diversity of the nesting strategies inventoried in the genus Zhangixalus, classified in the following three categories: arboreal (suspended in trees and leaves above the water surface); scansorial (attached to the ground, grasses or abiotic substrates flanking the water); or fossorial (buried in the mud or ground cover). Ancestral state reconstructions are shown. *The fossorial Zhangixalus schlegelii was exceptionally reported to build arboreal nests.
FIGURE 11 in A review of growth form and plant duration (life cycle) in Kalanchoe (Crassulaceae subfam. Kalanchooideae) in an evolutionary and classificatory framework
FIGURE 11. The weevil Sternuchopsis sedi feeding on a leaf of Kalanchoe sexangularis. Photograph: Gideon F. Smith.
Database of biochemistry data of intensive fattening lambs of sheep breeds raised in Latvia in 2022 ithin the framework of project of the Latvian Council of Science: LZP-2021/1-0489
<p>LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>.”</p> <p><strong>The aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake) is a key factor in the sheep industry. Improving Feed efficiencyreduces production costs. Improving Feed efficiencyby 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p>The endocrine system could affect Feed efficiency through its role in regulating feed intake and nutrient utilization. The gastrointestinal tract with attached glands is the source of secretes hormones that play an important role in regulating feed intake (such as insulin and ghrelin) and nutrient use (i.e., glucose-dependent insulinotropic polypeptide, insulin and IGF-1). Existing data indicate specific hormones related to nutrient metabolism may have a role in divergent feed efficiency status and are studied in more detail.</p> <p>Considering the fact that heat is generated as a side product of energy metabolism, Feed efficiency correlates inversely with heat production. Physiological indicators of FE such as hematocrit, hemoglobin and glucose are useful blood traits to identify efficient animals.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on lamb samples of the year 2022, or A22 group, which consists of 76 intensively fattened lambs from six breeds and nine samples from the LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study. The dataset includes data on biochemical indicators: Insulin-like growth factor 1, Insulin, Total thyroxine, Adrenocorticotropic hormone, Haematocrit, Hemoglobin, Glucose, and Leptin. Data on Leptin are only for the first 50 samples because the data wasn’t different, and the level was too low for the detection method.</p> <p>Based on the requirements of the breeding program of the breeds, every year, the offspring of the sire ram, certified for breeding activity, are selected and analyzed to estimate the sire rams. All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with Latvian Sheep Breeders' Association at the ram breeding control station. Lambs were fattened for 66.38 ± 1.27 days with an interval of 44 to 83 days.</p> <p> </p> <p>The data is the<strong> joint property</strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
Database of feed efficiency indicators of intensive fattening lambs of sheep breeds raised in Latvia in 2022 within the framework of project of the Latvian Council of Science LZP-2021/1-0489 project
<p>LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>.”</p> <p><strong>The aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake) is a key factor in the sheep industry. Improving FE reduces production costs. Improving FE by 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on lamb samples of the year 2022, or the A22 group, which consists of 76 intensively fattened lambs from six breeds.</p> <p>The dataset includes data on feed efficiency indicators: (1) ratio traits: Feed efficiency (FE), Feed conversion ratio (FCR), Relative growth rate (RGR), Kleiber’s ratio (KR), or (2) regression or residual traits: Residual feed intake (RFI), Residual weight gain (RWG) and Residual intake and body weight gain (RIG). Calculations were made by using formulas from Lima et al., 2017 (<a href="https://doi.org/10.1590/S1806-92902017001000005">https://doi.org/10.1590/S1806-92902017001000005</a>).</p> <p>Based on the requirements of the breeding program of the breeds, every year, the offspring of the sire ram, certified for breeding activity, are selected and analyzed to estimate the sire rams. All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with Latvian Sheep Breeders' Association at the ram breeding control station. Lambs were fattened for 66.38 ± 1.27 days with an interval of 44 to 83 days.</p> <p> </p> <p>The data is the<strong> joint property</strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
Database of parameters related to intensive fattening of lambs of sheep breeds raised in Latvia in 2022 within the framework of project of the Latvian Council of Science LZP-2021/1-0489 project
<p>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”</p> <p>The <strong>aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent Feed efficiency status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake) is a key factor in the sheep industry. Improving Feed efficiency reduces production costs. Improving Feed efficiency by 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on lamb samples of the year 2022, or A22 group, which consists of 76 intensively fattened lambs from six breeds and nine samples from the LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study.</p> <p>Based on the requirements of the breeding program of the breeds, every year, the offspring of the sire ram, certified for breeding activity, are selected and analyzed to estimate the sire rams. All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with Latvian Sheep Breeders' Association at the ram breeding control station.</p> <p>The database contains data on ultrasonography measurements of lambs during the beginning and end of fattening, intensive fattening data - real and calculated on the 90th and 150th day, the amount of feed used and slaughter data. Ultrasonography data were used to calculate muscle and/or fat depth changes at the 13th rib during the fattening period.</p> <p> </p> <p>The data is the<strong> joint property</strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p> <p> </p>
Database of average values of parameters of sire rams of Latvian dark-head breed calculated from values of intensive fattening lambs within the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project
<p>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>.”</p> <p><strong>The aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent Feed efficiency status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake), is a key factor in the sheep industry. Improving Feed efficiency reduces production costs. Improving Feed efficiency by 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p>As of 2018, there were 49.5 thousand ewes and 73 sire rams in Latvia from a flock of 134.29K sheep. In 2018, Latvian Dark-Head (Latvijas tumšgalve; LT) sheep were bred to implement the sheep breeding program in 35 farms, which had a total of 3,752 ewes, while 13 farms had 43 breeding rams. According to the EUROSTAT data, the number of sheep in Latvia in 2018 was 107.29K, but in December 2021 was 90.34K.</p> <p>The Latvian Dark-Head sheep breed was created by crossing local Latvian sheep with Shropshire and Oxfordshire rams imported from Sweden and England. The first pedigree or breeder's book for LT rams was issued in 1939. Currently, the live weight of ewes of the Latvian Dark-Head breed is about 55 – 65 kg, rams - 95 – 120 kg, wool cut 3.5 – 4.5 and 5.0 – 6.0 kg, respectively. The average prolificacy of ewes is 150 - 160%.</p> <p>Breeding of Latvian Dark-Head sheep in Latvia is carried out according to phenotypic and bloodline data, without information about values of feed efficiency indicators or carrying out genetic breeding. Therefore, this study aimed to analyze the Latvian Dark-Head breeds rams according to lambs' feed efficiency values.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on Latvian dark-head (LT; Latvijas tumšgalve) of the year 2022 lamb samples, or A22_LT group. In the group were 48 lambs from 13 sire rams.</p> <p>Based on the requirements of the breeding program of the breeds, every year, the offspring of the sire ram, certified for breeding activity, are selected and analyzed to estimate the sire rams. All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed prior to inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with Latvian Sheep Breeders' Association at the ram breeding control station.</p> <p>The dataset includes average data of each sire ram: (1) ultrasonography measurements of lambs during the beginning and end of fattening, (2) intensive fattening data - real and calculated on the 90th and 150th day, (3) the amount of feed used, (4) slaughter data, (5) biochemical indicators: Insulin-like growth factor 1, Insulin, Total thyroxine, Adrenocorticotropic hormone, Haematocrit, Hemoglobin, Glucose, (6) feed efficiency indicators: Feed efficiency (FE), Feed conversion ratio (FCR), Relative growth rate (RGR), Kleiber’s ratio (KR), Residual feed intake (RFI), Residual weight gain (RWG) and Residual intake and body weight gain (RIG).</p> <p> </p> <p>The data is the joint property of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
An Actionable Framework for Understanding and Improving Talent Retention as a Competitive Advantage in IT Organizations
<p>We provided a public link with coded interview data.<br> We opted not to provide the full interview transcripts in order to adhere to double-blind guidelines.</p>
Applying a Stress Framework to Health Behavior Change: A Fitbit Study
ClinicalTrials.gov study NCT03119220. IPD Sharing: YES. Countries: 0. Publications: 0.
Abutment Analysis of Metallic Denture Frameworks in Mandibular Kenedy Class III Cases
ClinicalTrials.gov study NCT07215208. IPD Sharing: Not stated. Countries: 0. Publications: 0.
AgeTeQ Database Management Framework
ClinicalTrials.gov study NCT06609655. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Cohort Study of Honghua Xiaoyao Tablets in the Treatment of Premenstrual Syndrome Based on Target Trial Emulation Framework
ClinicalTrials.gov study NCT07171814. IPD Sharing: NO. Countries: 0. Publications: 0.
Study of the Benefit of a Nurse (IDE) Pre and Post-operative Framework in Proctology Outpatient Surgery
ClinicalTrials.gov study NCT02881541. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.