cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19296113
title: Additional file 3 of Lack of food intake during shift work alters the heart transcriptome and leads to cardiac tissue fibrosis and inflammation in rats

description: Additional file 3: Table S11. Gene Ontology analysis of the genes assigned to the modules M0 to M37 (related to Fig. 5).
DOI: 10.6084/m9.figshare.19296119.v1
title: Additional file 10 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 10. Migratory status (1=migratory, 0=resident) of Black Bay Walleye in 2016 (M16), 2017 (M17), and 2018 (M18) with fish length to assess the influence of length and individual on migratory status.
DOI: 10.6084/m9.figshare.19296119
title: Additional file 10 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 10. Migratory status (1=migratory, 0=resident) of Black Bay Walleye in 2016 (M16), 2017 (M17), and 2018 (M18) with fish length to assess the influence of length and individual on migratory status.
DOI: 10.6084/m9.figshare.19296122
title: Additional file 11 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 11. Maximum outbound extent of 2016 tagged Black Bay Walleye in 2016 (G16) and 2017 (G17). 1=BEI, 2=GEP, 3=EDI, 4=BLP and SIP.
DOI: 10.6084/m9.figshare.19296122.v1
title: Additional file 11 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 11. Maximum outbound extent of 2016 tagged Black Bay Walleye in 2016 (G16) and 2017 (G17). 1=BEI, 2=GEP, 3=EDI, 4=BLP and SIP.
DOI: 10.6084/m9.figshare.19296125
title: Additional file 12 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 12. Secchi depth measurements of the four states of the Black Bay study system through the open water season of 2017.
DOI: 10.6084/m9.figshare.19296131.v1
title: Additional file 2 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 2. R-script for determining the number of fish at each receiver gate, the number of fish detected each year, the annual migratory status of fish, and the secchi measurements of the Black Bay study system.
DOI: 10.6084/m9.figshare.19296125.v1
title: Additional file 12 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 12. Secchi depth measurements of the four states of the Black Bay study system through the open water season of 2017.
DOI: 10.6084/m9.figshare.19296134
title: Additional file 3 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 3. R-script for back calculating the lengths of acoustically tagged Walleye.
DOI: 10.6084/m9.figshare.19296140
title: Additional file 5 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 5. R-script for assessing the detection efficiency of receiver gates.
DOI: 10.6084/m9.figshare.19296131
title: Additional file 2 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 2. R-script for determining the number of fish at each receiver gate, the number of fish detected each year, the annual migratory status of fish, and the secchi measurements of the Black Bay study system.
DOI: 10.6084/m9.figshare.19296134.v1
title: Additional file 3 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 3. R-script for back calculating the lengths of acoustically tagged Walleye.
DOI: 10.6084/m9.figshare.19296137
title: Additional file 4 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 4. R-script for t-tests to assess differences in age and length of migratory and resident Walleye.
DOI: 10.6084/m9.figshare.19296137.v1
title: Additional file 4 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 4. R-script for t-tests to assess differences in age and length of migratory and resident Walleye.
DOI: 10.6084/m9.figshare.19296140.v1
title: Additional file 5 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 5. R-script for assessing the detection efficiency of receiver gates.
DOI: 10.6084/m9.figshare.19296143
title: Additional file 6 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 6. R-script for assessing the distribution of male and female Walleye captured throughout the Black Bay study system in FWIN nets.
DOI: 10.6084/m9.figshare.19296143.v1
title: Additional file 6 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 6. R-script for assessing the distribution of male and female Walleye captured throughout the Black Bay study system in FWIN nets.
DOI: 10.6084/m9.figshare.19296146
title: Additional file 7 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 7. R-script for converting GLATOS detections into the encounter history format for Program MARK.
DOI: 10.6084/m9.figshare.19296146.v1
title: Additional file 7 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 7. R-script for converting GLATOS detections into the encounter history format for Program MARK.
DOI: 10.6084/m9.figshare.19296149.v1
title: Additional file 8 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 8. R-script for assessing repeatability in Walleye migratory status using GLMMs.
DOI: 10.6084/m9.figshare.19296152
title: Additional file 9 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 9. R-script for determining the TOHA available to Black Bay Walleye through the open water season.
DOI: 10.6084/m9.figshare.19296152.v1
title: Additional file 9 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 9. R-script for determining the TOHA available to Black Bay Walleye through the open water season.
DOI: 10.6084/m9.figshare.19296149
title: Additional file 8 of Alternative migratory strategies related to life history differences in the Walleye (Sander vitreus)

description: Additional file 8. R-script for assessing repeatability in Walleye migratory status using GLMMs.
DOI: 10.6084/m9.figshare.19296117
title: Additional file 1 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 1. A fasta file containing a complete list of stable Ensembl transcripts for human genome version 38.
DOI: 10.6084/m9.figshare.19296117.v1
title: Additional file 1 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 1. A fasta file containing a complete list of stable Ensembl transcripts for human genome version 38.
DOI: 10.6084/m9.figshare.19296153
title: Additional file 2 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 2. A peak file generated using macs2 software on aligned POPPI-seq data for Hek293 cell line using hg38_transcriptome.fasta (Additional file 1) as a reference.
DOI: 10.6084/m9.figshare.19296153.v1
title: Additional file 2 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 2. A peak file generated using macs2 software on aligned POPPI-seq data for Hek293 cell line using hg38_transcriptome.fasta (Additional file 1) as a reference.
DOI: 10.6084/m9.figshare.19296156.v1
title: Additional file 3 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 3. Comma separated file showing the complete list of genes (symbol) used in this study. This forms the basic input for the tool.
DOI: 10.6084/m9.figshare.19296159
title: Additional file 4 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 4. List of Ensembl gene IDs, Ensembl transcript IDs, common gene name (symbol), chromosome number, gene start position, gene end position, strand, length of the transcript, and the transcript sequence used in this study.
DOI: 10.6084/m9.figshare.19296159.v1
title: Additional file 4 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 4. List of Ensembl gene IDs, Ensembl transcript IDs, common gene name (symbol), chromosome number, gene start position, gene end position, strand, length of the transcript, and the transcript sequence used in this study.
DOI: 10.6084/m9.figshare.19296156
title: Additional file 3 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 3. Comma separated file showing the complete list of genes (symbol) used in this study. This forms the basic input for the tool.
DOI: 10.6084/m9.figshare.19296165
title: Additional file 5 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 5 Tab delimited file containing the k-mer, the position of the k-mer in the guide, and the associated p-value for that k-mer.
DOI: 10.6084/m9.figshare.19296165.v1
title: Additional file 5 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 5 Tab delimited file containing the k-mer, the position of the k-mer in the guide, and the associated p-value for that k-mer.
DOI: 10.6084/m9.figshare.19296168.v1
title: Additional file 6 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 6. Tab delimited file containing the training data for the model. The header contains the names for each of the features used.
DOI: 10.6084/m9.figshare.19296171
title: Additional file 7 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 7. A peak file generated using macs2 software on the aligned POP-seq data for HeLa cell line using hg38_transcriptome.fasta (Additional File 1) as a reference.
DOI: 10.6084/m9.figshare.19296171.v1
title: Additional file 7 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 7. A peak file generated using macs2 software on the aligned POP-seq data for HeLa cell line using hg38_transcriptome.fasta (Additional File 1) as a reference.
DOI: 10.6084/m9.figshare.19296174
title: Additional file 8 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 8.
DOI: 10.6084/m9.figshare.19296168
title: Additional file 6 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 6. Tab delimited file containing the training data for the model. The header contains the names for each of the features used.
DOI: 10.6084/m9.figshare.19296174.v1
title: Additional file 8 of CASowary: CRISPR-Cas13 guide RNA predictor for transcript depletion

description: Additional file 8.
DOI: 10.5517/ccdc.csd.cc288byv
title: CCDC 2093397: Experimental Crystal Structure Determination

description: Related Article: Rossana Galassi, Lorenzo Luciani, Claudia Graiff, Gabriele Manca|2022|Inorg.Chem.|61|3527|doi:10.1021/acs.inorgchem.1c03492
DOI: 10.5517/ccdc.csd.cc28j0rl
title: CCDC 2100769: Experimental Crystal Structure Determination

description: Related Article: Lifang Lin, Yi Wang, Li Xu|2022|Organometallics|41|450|doi:10.1021/acs.organomet.1c00697
DOI: 10.5281/zenodo.6324489
title: deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques

description: In this paper, we present datasets that can be utilised for synthetic near infrared (NIR) image and bounding box level fruit detection system. It is undeniable fact that high-caliber machine learning software frameworks such as Tensorflow or Pytorch and large scale dataset such as ImageNet and COCO, and accelerated GPU hardware support have pushed the limit of machine learning for more than decades. Among these breakthroughs quality dataset is one of important key building blocks that can lead to success in model generalisation and deployment for data-driven deep neural networks. Particularly, synthetic data generation such as generative adversarial networks often requires relatively larger scale data than other supervised approaches. In addition, posing constrains such as geometrical facial constrains in fake face generation or consistent and radiometrically calibrated reflectances from satellite imagery commonly yield better results. We share NIR+RGB dataset that are re-processed from other two public datasets (nirscene and SEN12MS) and our own novel sweetpepper dataset to be able to timely adopt to other following studies. We oversampled from original nirscene dataset at 10, 100, 200, and 400 ratios and total of 127k pair of images. For SEN12MS satellite multispectral dataset, we selected one largest subset; Summer (45k) and All seasons (180k). Our sweetpeppr dataset consists of 1,615 pairs of NIR+RGB images. We demonstrate these NIR+RGB datasets are sufficient to be used for synthetic NIR generation quantitatively and qualitatively. We achieved Frechet Inception Distance (FID) of 11.36, 26.53, and 40.15 for nirscene1, SEN12MS, and sweetpepper dataset respectively. We also release <em>11</em> fruits' bounding box annotations that can be exported as various formats using cloud service. 4 newly added fruits [blueberry, cherry, kiwi, and wheat] compounds 11 novel bounding box dastaset together with our previous work in deepFruits project [apple, avocado, capsicum, mango, orange, rockmelon, strawberry]. The total number of bounding box instances is 162k and all bounding box dataset is ready for use from cloud service. For evaluation of these dataset, Yolov5 single stage detector is exploited and reported impressive mean-average-precision, mAP[0.5:0.95] results of [min:0.49, max:0.812]. We hope these dataset is useful and serves as one of baseline for the following up studies.
DOI: 10.5281/zenodo.6324488
title: deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques

description: In this paper, we present datasets that can be utilised for synthetic near infrared (NIR) image and bounding box level fruit detection system. It is undeniable fact that high-caliber machine learning software frameworks such as Tensorflow or Pytorch and large scale dataset such as ImageNet and COCO, and accelerated GPU hardware support have pushed the limit of machine learning for more than decades. Among these breakthroughs quality dataset is one of important key building blocks that can lead to success in model generalisation and deployment for data-driven deep neural networks. Particularly, synthetic data generation such as generative adversarial networks often requires relatively larger scale data than other supervised approaches. In addition, posing constrains such as geometrical facial constrains in fake face generation or consistent and radiometrically calibrated reflectances from satellite imagery commonly yield better results. We share NIR+RGB dataset that are re-processed from other two public datasets (nirscene and SEN12MS) and our own novel sweetpepper dataset to be able to timely adopt to other following studies. We oversampled from original nirscene dataset at 10, 100, 200, and 400 ratios and total of 127k pair of images. For SEN12MS satellite multispectral dataset, we selected one largest subset; Summer (45k) and All seasons (180k). Our sweetpeppr dataset consists of 1,615 pairs of NIR+RGB images. We demonstrate these NIR+RGB datasets are sufficient to be used for synthetic NIR generation quantitatively and qualitatively. We achieved Frechet Inception Distance (FID) of 11.36, 26.53, and 40.15 for nirscene1, SEN12MS, and sweetpepper dataset respectively. We also release <em>11</em> fruits' bounding box annotations that can be exported as various formats using cloud service. 4 newly added fruits [blueberry, cherry, kiwi, and wheat] compounds 11 novel bounding box dastaset together with our previous work in deepFruits project [apple, avocado, capsicum, mango, orange, rockmelon, strawberry]. The total number of bounding box instances is 162k and all bounding box dataset is ready for use from cloud service. For evaluation of these dataset, Yolov5 single stage detector is exploited and reported impressive mean-average-precision, mAP[0.5:0.95] results of [min:0.49, max:0.812]. We hope these dataset is useful and serves as one of baseline for the following up studies.
DOI: 10.3886/e163861v1
title: CDSS

description: Clinical Decision Support Systems (CDSS) are advanced technologies that are increasingly leveraged in health care settings. CDSS are used as expert systems by clinicians during the diagnosis process. It can improve the delivery of healthcare, reducing costs and decreasing the number of mistreatments and misdiagnosis. Centers for Medicare & Medicaid services have included CDSS capabilities into their Meaningful Use (MU) framework for the evaluation of maturity of Electronic Health Records (EHR) systems, which should drive even further adoption of this type of technology. However, CDSS systems are still expensive to build and its associated datais still not very comprehensive in terms of coverage. This dataset is the knowledge base for a differential diagnosis CDSS system. The knowledge base was built using automatic information extraction from medical journals and relevant sites, such as MedlinePlus. The dataset is represent in N3 notation and must be used in tandem with EYE, an open-source Prolog Virtual Machine, in order to produce results.
DOI: 10.6084/m9.figshare.16955537
title: Inside the black box of collaboration: a process-tracing study of collaborative flood risk governance in the Netherlands

description: Collaborative environmental governance is increasingly being used by public administrators to integrate divergent sectoral interests and deliver public goods that individual organizations would fail to deliver on their own. Yet, empirical studies on how exactly collaborative governance leads to integrative outputs remain scarce. This study applies a process-tracing methodology to test the hypothesized causal mechanism of collaboration dynamics leading to integrative output in a case of collaborative flood risk management from the Netherlands, the case of Grebbedijk. By drawing on multiple data sources, the analysis validates the mechanism and confirms that the dynamic interaction of highly functional principled engagement, sufficient shared motivation and a wide range of capacities for the joint action is a causal process linked to the successful output in the studied case. However, it also demonstrates that a set of pre-determined capacities for joint action, particularly initiating leadership, procedural arrangements and resources, were critical for the mechanism to unfold successfully. The findings of this study also suggest that well-organized processes of principled engagement facilitated by adaptive and connective leaders may compensate for lack of shared motivation among collaborating parties and succeed in delivering desired collaborative outputs without investing much in building trust and shared motivation.
DOI: 10.6084/m9.figshare.16955537.v2
title: Inside the black box of collaboration: a process-tracing study of collaborative flood risk governance in the Netherlands

description: Collaborative environmental governance is increasingly being used by public administrators to integrate divergent sectoral interests and deliver public goods that individual organizations would fail to deliver on their own. Yet, empirical studies on how exactly collaborative governance leads to integrative outputs remain scarce. This study applies a process-tracing methodology to test the hypothesized causal mechanism of collaboration dynamics leading to integrative output in a case of collaborative flood risk management from the Netherlands, the case of Grebbedijk. By drawing on multiple data sources, the analysis validates the mechanism and confirms that the dynamic interaction of highly functional principled engagement, sufficient shared motivation and a wide range of capacities for the joint action is a causal process linked to the successful output in the studied case. However, it also demonstrates that a set of pre-determined capacities for joint action, particularly initiating leadership, procedural arrangements and resources, were critical for the mechanism to unfold successfully. The findings of this study also suggest that well-organized processes of principled engagement facilitated by adaptive and connective leaders may compensate for lack of shared motivation among collaborating parties and succeed in delivering desired collaborative outputs without investing much in building trust and shared motivation.
DOI: 10.6084/m9.figshare.17038921
title: Parallel routes from Copenhagen to Paris: climate discourse in climate sceptic and climate activist blogs

description: The Copenhagen climate summit in 2009 was a watershed moment in the international climate change discourse, reinforcing controversy and polarization between climate sceptics and climate activists. Simultaneously, the blogosphere, known as a place for polarized mobilization, became a proliferating forum for both camps. Building on Dryzek’s and Carvalho’s conceptualization of environmental discourse, this paper analyses how ideological polarization is grounded in climate sceptics’ and climate activists’ blogs between COP15 and COP21. We investigated ten climate sceptic and climate activist blogs accessible in the UK. Qualitative-quantitative analysis of 357 blog posts revealed contrasting ontological and epistemological worlds in the climate change controversy. Four storylines were identified in the climate sceptical discourse – ‘hoax’, ‘no scientific evidence’, ‘climate sceptical science’, and ‘injustice’ – and five storylines in the climate activist discourse – ‘action’, ‘social justice’, ‘disaster strikes’, ‘potential catastrophe’, and ‘opportunity’. Implications for policy, practice and future research are provided.
DOI: 10.6084/m9.figshare.17038921.v1
title: Parallel routes from Copenhagen to Paris: climate discourse in climate sceptic and climate activist blogs

description: The Copenhagen climate summit in 2009 was a watershed moment in the international climate change discourse, reinforcing controversy and polarization between climate sceptics and climate activists. Simultaneously, the blogosphere, known as a place for polarized mobilization, became a proliferating forum for both camps. Building on Dryzek’s and Carvalho’s conceptualization of environmental discourse, this paper analyses how ideological polarization is grounded in climate sceptics’ and climate activists’ blogs between COP15 and COP21. We investigated ten climate sceptic and climate activist blogs accessible in the UK. Qualitative-quantitative analysis of 357 blog posts revealed contrasting ontological and epistemological worlds in the climate change controversy. Four storylines were identified in the climate sceptical discourse – ‘hoax’, ‘no scientific evidence’, ‘climate sceptical science’, and ‘injustice’ – and five storylines in the climate activist discourse – ‘action’, ‘social justice’, ‘disaster strikes’, ‘potential catastrophe’, and ‘opportunity’. Implications for policy, practice and future research are provided.