cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pdhtrwcv4b.1
title: LINF_140007900

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fpwthrz9ry.2
title: Erosional modulation of the balance between alkalinity and acid generations from rock weathering

description: This dataset contains all the data used in the research article 'Erosional modulation of the balance between alkalinity and acid generations from rock weathering'.
DOI: 10.17632/bmc6ksxr37.1
title: LINF_140010350

description: hypothetical protein - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cgw3427h3z.1
title: PENTEX

description: Dataset for the MSCA project PENTEX
DOI: 10.17632/y4vntp5nvx.2
title: Replication data for: Designing Optimal Macroeconomic Policy Rules under Parameter Uncertainty: A Stochastic Dominance Approach

description: Research data associated with the manuscript:
[1] Górajski, M., Kuchta, Z., 2021, Designing Optimal Macroeconomic Policy Rules under Parameter Uncertainty: A Stochastic Dominance Approach.

This work is supported by the National Science Centre in Poland under Grant No. 2017/26/D/HS4/00942.

It contains all user-defined MATLAB and R functions that implement our algorithms from Section 4 and replicate all results. We group them into seven folders: 
1. main_data
It performs the data preparation process.

2. main_estimation
It estimates 24 versions of the Erceg, Henderson, and Levine (2000) small-scale DSGE model (EHL model). They differ by the Talor-type rule. We consider eight sets of the response variables in the policy rule (see Table 1) with three different dynamic specifications: backward-looking, cotemporaneous and forward-looking.

3. main_measuring_uncertainty
It evaluates the MWL and OPFC distributions for 24 versions of the EHL model.

4. main_compare_losses
It contains the novel EP Bayesian tests for the SDk relations from Section 4.2. We use these tests to compare the MWLs.

5. main_robust_simple_rules
It replicates all Bayesian and min-max robust strategies from Section 4.

6. main_simulations
It collects all codes that perform the simulations of the EHL model with SDk-optimal and estimated policy rules.

7. main_performance_BayesEP_SDk_tests
It assesses the performance of the EP Bayesian tests for SDk relations.



Abstract
This paper offers a Bayesian decision-theoretic approach to policy evaluation in rational expectation models. First, we show how to correctly
assess and rank simple policy rules under the welfare loss minimization criterion in the presence of uncertainty about the model's structural
parameters. We consider a Bayesian policymaker who assesses the effectiveness of policy actions by comparing the distributions of welfare losses
using stochastic dominance orderings. Second, we propose a new Bayesian testing procedure for verifying the k-degree stochastic dominance relation. Third, we apply our approach to a dynamic stochastic general equilibrium model, estimated for the U.S. economy. We show that using stochastic dominance
to rank simple policy rules yields different rankings than using well-established robust approaches. The contemporaneous monetary policy rule that reacts to inflation and the output gap, with an interest rate smoothing mechanism, minimises the welfare loss for all decision-makers who admit infinite degree stochastic dominance preferences.
DOI: 10.17632/y4vntp5nvx.3
title: Replication data for: Designing Optimal Macroeconomic Policy Rules under Parameter Uncertainty: A Stochastic Dominance Approach

description: Research data associated with the manuscript:
[1] Górajski, M., Kuchta, Z., 2022, Designing Optimal Macroeconomic Policy Rules under Parameter Uncertainty: A Stochastic Dominance Approach.

This work is supported by the National Science Centre in Poland under Grant No. 2017/26/D/HS4/00942.

It contains all user-defined MATLAB and R functions that implement our algorithms and replicate all results. We group them into seven folders: 
1. main_data
It performs the data preparation process.

2. main_estimation
It estimates 25 versions of the Erceg, Henderson, and Levine (2000) small-scale DSGE model (EHL model). They differ by the monetary policy rule. We consider eight Taylor-type rules (see Table 1) and one nominal GDP targeting rule (H.2) (see Appendix H).

3. main_measuring_uncertainty
It evaluates the MWL and OPFC distributions for all versions of the EHL model.

4. main_compare_losses
It contains the novel EP Bayesian tests for the SDk relations from Section 4.2. We use these tests to compare the MWLs.

5. main_robust_simple_rules
It replicates all Bayesian and min-max robust strategies.

6. main_simulations
It collects all codes that perform the simulations of the EHL model with SDk-optimal and estimated policy rules.

7. main_performance_BayesEP_SDk_tests
It assesses the performance of the EP Bayesian tests for SDk relations.



Abstract
In this paper, we offer a Bayesian decision-theoretic approach to policy evaluation in rational expectation models. First, we show how to correctly assess and rank simple policy rules under the welfare loss minimization criterion in the presence of uncertainty about the model's structural parameters. We consider a Bayesian policymaker that assesses the effectiveness of policy actions, by comparing the distributions of welfare losses using stochastic dominance orderings. Second, we propose a new Bayesian testing procedure to verify higher and infinite degrees of stochastic dominance. Third, we demonstrate a potential use of the suggested approach to a dynamic stochastic general equilibrium model, estimated for the U.S. economy. We show that using stochastic dominance to rank simple monetary policy rules yields different rankings than well-established robust approaches. The contemporaneous monetary policy rule that reacts to inflation and the output gap, with an interest rate smoothing mechanism, minimizes the welfare loss for all decision-makers who admit infinite degree stochastic dominance preferences.
DOI: 10.17632/y4vntp5nvx.1
title: Replication data for: Designing Optimal Macroeconomic Policy Rules under Parameter Uncertainty: A Stochastic Dominance Approach

description: Research data associated with the manuscript: [1] Górajski, M., Kuchta, Z., 2021, Designing Optimal Macroeconomic Policy Rules under Parameter Uncertainty: A Stochastic Dominance Approach. This work is supported by the National Science Centre in Poland under Grant No. 2017/26/D/HS4/00942. It contains all user-defined MATLAB functions that implement our algorithms from Section 4. We group them into five folders: "main_estimation”, "main_measuring_uncertainty", “main_compare_losses" , "main_performance_BayesEP_SDk_tests" and "main_robust_simple_rules". "main_estimation” It estimates 24 versions of the Erceg, Henderson, and Levine (2000) small-scale DSGE model (EHL model). They differ by the Talor-type rule. We consider eight sets of the response variables in the policy rule (see Table 1) with three different dynamic specifications: backward-looking, cotemporaneous and forward-looking. "main_measuring_uncertainty" It evaluates the MWL and OPFC distributions for 24 versions of the EHL model. “main_compare_losses" It contains the novel EP Bayesian tests for the SDk relations from Section 4.2. We use these tests to compare the MWLs. "main_performance_BayesEP_SDk_tests" It replicates all results from Appendix D: Performance of the EP Bayesian tests for stochastic dominance orderings. "main_robust_simple_rules" It replicates all Bayesian and min-max robust strategies from Section 4. Abstract This paper offers a Bayesian decision-theoretic approach to policy evaluation in rational expectation models. First, we show how to correctly assess and rank simple policy rules under the welfare loss minimization criterion in the presence of uncertainty about the model's structural parameters. We consider a Bayesian policymaker who assesses the effectiveness of policy actions by comparing the distributions of welfare losses using stochastic dominance orderings. Second, we propose a new Bayesian testing procedure for verifying the k-degree stochastic dominance relation. Third, we apply our approach to a dynamic stochastic general equilibrium model, estimated for the U.S. economy. We show that using stochastic dominance to rank simple policy rules yields different rankings than using well-established robust approaches. The contemporaneous monetary policy rule that reacts to inflation and the output gap, with an interest rate smoothing mechanism, minimizes the welfare loss for all decision-makers who admit infinite degree stochastic dominance preferences.
DOI: 10.17632/4244khm2h2
title: INA of LX2/XVir

description: Glioblastomas (GBM) are difficult to treat and deadly brain tumors and may infiltrate the whole brain. Cancer killing (oncolytic) viruses have been used to treat GBMs. However, oncolytic virotherapy needs surgery as the viruses have to be injected directly into the tumor. We used human cells that we loaded with the oncolytic virus XVir-N-31. Virus-loaded cells were applied into the noses of GBM-mice by a non-surgical method, were rapidly transported towards the brain tumor and also to invaded GBM cells located far away from the original tumor. In the brain these shuttle cells released XVir-N-31 which then infects and kills the cancer cells. In consequence, mice that received XVir-N-31 loaded shuttle cells via the nose showed a delayed tumor growth and better survival. In addition, if the intranasal delivery was combined with an intratumoral injection of XVir-N-31, 25% of mice did not show any tumors and survived long time.
DOI: 10.17632/4244khm2h2.1
title: INA of LX2/XVir

description: Glioblastomas (GBM) are difficult to treat and deadly brain tumors and may infiltrate the whole brain. Cancer killing (oncolytic) viruses have been used to treat GBMs. However, oncolytic virotherapy needs surgery as the viruses have to be injected directly into the tumor. We used human cells that we loaded with the oncolytic virus XVir-N-31. Virus-loaded cells were applied into the noses of GBM-mice by a non-surgical method, were rapidly transported towards the brain tumor and also to invaded GBM cells located far away from the original tumor. In the brain these shuttle cells released XVir-N-31 which then infects and kills the cancer cells. In consequence, mice that received XVir-N-31 loaded shuttle cells via the nose showed a delayed tumor growth and better survival. In addition, if the intranasal delivery was combined with an intratumoral injection of XVir-N-31, 25% of mice did not show any tumors and survived long time.
DOI: 10.17632/fy6hxrgw9t.1
title: Nutrient footprint versus EPA+DHA security in land-locked regions – more of local pond farmed, imported marine fish or fish oil capsules?

description: Containing the data and calculations presented in the article (from Figures 1 to 6; Experiments 1 and 2). Other data from literature sources or experimental conditions data are already part of the materials and methods text.
DOI: 10.17632/4mxrxmv32d.1
title: Data

description: This dataset contains codes and example data to reproduce main results of “Effects of policy-induced agglomeration on firms’ productivity and survival: evidence from China”
DOI: 10.17632/sj85ws8zsn.1
title: Gut Microbiome-Associated SNPs and Their Impact on the Immune Microenvironment in Head and Neck Squamous Cell Carcinoma: A Mendelian Randomization Study

description: Various studies and trials have indicated a potential link between cancer and the microbiome of the digestive system. Nevertheless, there is insufficient research on the connection between the gut microbiome and Head and Neck Squamous Cell Carcinoma (HNSCC). Genetic differences in the intestinal microbiome were obtained from the MiBioGen repository. We recognized gut microbiota across various taxonomic levels including phylum, class, order, family, and genus. UK Biobank provided the HNSCC data, while the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO) database (GSE181919) supplied the HNSCC-related data for single-cell correlation analysis. Following this, we performed Mendelian Randomization (MR), analyzed immune cell infiltration, conducted Gene Set Variation Analysis (GSVA) and Gene Set Enrichment Analysis (GSEA), examined regulatory networks of important genes, conducted single-cell analysis, and performed statistical analysis. Seven ideal causal connections were discovered between the gut microbiome and HNSCC, with their validity confirmed by analyzing heterogeneity and genetic diversity. Examination showed that the Single-nucleotide polymorphism(SNP) genes have a strong connection to levels of immune cell infiltration and are important in shaping the immune microenvironment (IME) . Additional research revealed distinct signaling pathways and transcriptional regulatory networks that were enhanced by the seven SNP genes. Through the use of MR, we were able to establish a direct connection between the gut microbiome and HNSCC. This may contribute to providing new insights into the mechanisms and clinical research of gut microbiota-mediated HNSCC.
DOI: 10.17632/b5nszn7rpx.1
title: LINF_140010800

description: ion transport protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.eyqz36
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.41834 -17.34926,-70.14179 -16.55836,-70.96865 -15.26099,-72.14364 -15.121,-74.08747 -14.50394,-75.16092 -15.30297,-73.95691 -16.1965,-72.59333 -16.80848,-71.41834 -17.34926))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tinamotis pentlandii Vigors, 1837",
 "Year 2021-2025"
 ]
}

 The dataset includes 58 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072906-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jn2rf9s6d7.1
title: Supplementary Information for 'Insights into the terminal Ediacaran marine carbonate record from shale-hosted carbonate carbon isotopes'

description: Supplementary information for article accepted for publication in the American Journal of Science. Article entitled 'Insights into the terminal Ediacaran marine carbonate record from shale-hosted carbonate carbon isotopes'. Supplementary Information includes details of analytical methods, statistical tests and carbon and oxygen isotopic data.
DOI: 10.17632/cvxb9dnywm.1
title: Top managers with information technology backgrounds and digital transformation: Evidence from small and medium companies

description: The data and Do files needed for this study are packaged as follows.
DOI: 10.15468/dl.fphe8j
title: Occurrence Download

description: A dataset containing 7530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-103.63077 46.88826,-103.24298 46.88826,-103.24298 47.63164,-103.63077 47.63164,-103.63077 46.88826))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7530 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072909-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9h9m8c34g9.2
title: A machine learning assisted exploration of C3N4 graphitic carbon nitride monolayers

description: "AIMD-Train.cfg" and "AIMD-Train.xyz" are the complete dataset with 6705 configurations in the "cfg" and "xyz" formats, respectively. In the "cfg" format, the atomic types of 6 and 7, refer to C and N, respectively.
POSCAR are the stress-free monolayer in the VASP input format, for flat and buckled C3N4 monolayers. 
POTCAR is the corresponding PBE/GGA potential required for the VASP calculations.
DOI: 10.17632/8dhfvh4db9
title: LDHU3_18.0850

description: Serine/threonine kinase-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/8dhfvh4db9.1
title: LDHU3_18.0850

description: Serine/threonine kinase-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/df9s2gkfdd.1
title: Data for the article: Heterogeneous effect of aging temperature on the fatigue life of additively manufactured thin-walled 18Ni300 maraging steel tubular specimen, Materials & Design, Vol 237, 2024, 112561, https://doi.org/10.1016/j.matdes.2023.112561.

description: The provided Excel file includes the experimental results of fatigue and quasi-static strengths of nominally 0.5-mm thick tubular specimens of LPBF 18Ni300 maraging steel with respect to the aging temperature (AT). The experimental tests were conducted on six batches of unmachined specimens: non-aged and age-hardened for 6 h at different temperatures, i.e., 450, 470, 490, 530, and 585 °C.
DOI: 10.17632/d6xm6ckc4f.1
title: LDHU3_18.0900

description: Citrate synthase; Leishmania donovani (HU3 strain)
DOI: 10.17632/8smrcwbggx.1
title: CPO Production in Indonesia

description: The information on Crude Palm Oil (CPO) production in Indonesia is derived from the annual publications of the Indonesian Central Statistics Agency (BPS)
DOI: 10.17632/f8ysgpsx47.1
title: LDHU3_18.0990

description: Elongation factor Tu – mitocondrial | EF-Tu; Leishmania donovani (HU3 strain)
DOI: 10.17632/632jv2n6fx.1
title: LINF_250015800

description: LYR domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.p2fnst
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neocaridina davidi (Bouvier, 1904)"
 ]
}

 The dataset includes 583 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072910-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rj69f3ng85.1
title: LDHU3_18.1030

description: RNA polymerase I subunit RPB5; Leishmania donovani (HU3 strain)
DOI: 10.15468/dl.geffac
title: Occurrence Download

description: A dataset containing 182292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-111.24384 32.10403,-110.49851 32.10403,-110.49851 32.35207,-111.24384 32.35207,-111.24384 32.10403))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 182292 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072895-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gxd9gxxb2d.1
title: Latvian Real Estate Announcements Monitoring in 2023

description: This data set represents real estate market announcements monitoring data in Latvia in 2023. The data was collected from online ads site ss.com. The database contains 209,9 thousand ads and consists of 24 groups of data (type of deal, price, characteristics and address of real estate, etc.). The data reflects the dynamics of price changes by months (at the beginning of the month) in 2023. Monitoring continued in 2023 was started in 2018. In 2023 the new impuls of data application was found. It is associated with the possibility of planning the urban environment taking into account the transition of transport to environment friendly fuel types.
DOI: 10.17632/dc3t6mch53.2
title: Data for "Trait-specific groups of aquatic macrophytes respond differently to eutrophication of unshaded lowland streams"

description: This dataset contains information on 30 streams located on the North Island in Aotearoa New Zealand. The dataset comprises quantification of plant communities in the streams as well as physicochemical parameters acquired in-situ and from national databases. Please read the abstract from the accompanying paper below:
Understanding eutrophication effects on stream macrophytes is key to meaningful environmental management and governance. However, the response of macrophyte communities to eutrophication is complex and often the effect of eutrophication is obscured by habitat variability.
In this study we quantified macrophyte community composition and abundance along a eutrophication gradient in 30 lowland streams. We selected slow flowing, medium sized streams with minimal shading, to focus on examining water quality effects. We measured the internal nutrient status of the plants and the bioavailable nutrient fraction of the sediment and used a national database of modelled stream descriptors to obtain information about land use and other water quality variables. We statistically examined relationships between macrophyte community composition and abundance and nutrient, underwater light, carbon availability and disturbance along the eutrophication gradient. 
We found that macrophytes with different growth strategies were related to different aspects of eutrophication. An increased abundance of submerged species was associated with elevated water column phosphorus (P) and alkalinity, while increased abundance of emergent species was associated with high sediment P, nitrate (N) and low disturbance. 
We did not find a relationship between nutrient inputs and nutrient content of the macrophytes but did find that sediment P correlated with P inputs to streams. We also observed that non-native taxa dominated eutrophic streams. 
Our results indicate that 1) non-native species are common in unshaded lowland streams with low water clarity and high nutrient and bicarbonate availability; 2) emergent species are associated with high nitrogen availability and suspended sediment and 3) submerged species prevail where phosphorus and bicarbonate availability is high. Our findings improve understanding of how stream macrophyte communities respond to changes in water quality related to eutrophication and anthropogenic changes in catchments and will contribute to an informed management of macrophytes in streams.
For method details please see the paper.
DOI: 10.15468/dl.wc53sv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.0677 -18.46464,-69.06466 -18.46464,-69.06466 -13.78254,-75.0677 -13.78254,-75.0677 -18.46464))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spatula discors (Linnaeus, 1766)",
 "Year 2021-2025"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072911-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dmrdj9g8dj.1
title: Zhang et al. 2024_GCA_Data

description: Experimental and analytical data for research paper
DOI: 10.17632/ypym6smhn2.2
title: Data of Chinese designer- entrepreneur’s digital storytelling and audiences’ engagement

description: These Data have been collected from Jicheng fashion designer entrepreneur’s (FDE’s) Weibo where she posted (e.g. text, photo) and interacted with her audiences. The author initially identified which item of cultural content is embedded in her each post with ten categories and have added up them at the same time, and next in importance measured statistically her audiences’ engagement activity to each post corresponds, finally calculated the percent to six cultural items and the average to three engagement activity items.