cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9wz95rynt2.1
title: Data for: Decision-making Analysis for Green Roof Layout and Functional Types with Optimal Expected Ecosystem Services Benefits in High-Density Cities: A Case Study in the Central City of Guangzhou, China.

description: Data for: Decision-making Analysis for Green Roof Layout and Functional Types with Optimal Expected Ecosystem Services Benefits in High-Density Cities: A Case Study in the Central City of Guangzhou, China.
We use multi open-source spatial data from various websites to evaluate ecosystem services demand in the main city of Guangzhou, China. 
The data includes:
(1)Carbon dioxide (CO₂) emissions. Source: https://edgar.jrc.ec.europa.eu/. Accessed July 25, 2024.
(2)Precipitation. Source: http://www.geodata.cn. Accessed July 19, 2024.
(3)Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed July 28, 2024.
(4)Landsat 8 and 9 satellite imagery (30m resolution). Source: https://www.usgs.gov/. Accessed July 24, 2024. 
(5)Digital Elevation Model (DEM). Source: https://www.gscloud.cn/. Accessed July 20, 2024. 
(6)Land cover (30m resolution). Source: http://globeland30.org/home.html. Accessed July 19, 2024.
(7)Road vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.
(8)Building vector data. Source: https://lbsyun.baidu.com/products/map. Accessed Juanuary 8, 2024.
(9)Population Density (100m resolution). Source: https://www.worldpop.org/. Accessed April July 10, 2024.
(10)POl vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.
DOI: 10.17632/9wz95rynt2.3
title: Data for: Decision-making Analysis for Green Roofs with Optimal Expected Ecosystem Services Benefits in the Central City of Guangzhou, China.

description: Data for: Decision-making Analysis for Green Roofs with Optimal Expected Ecosystem Services Benefits in the Central City of Guangzhou, China.
We use multi-source spatial data from various websites to evaluate ecosystem services demand in the Central City of Guangzhou, China. 
The data includes:
(1) Carbon dioxide (CO₂) emissions. Source: https://edgar.jrc.ec.europa.eu/. Accessed July 25, 2024.
(2) Precipitation. Source: http://www.geodata.cn. Accessed July 19, 2024.
(3) Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed July 28, 2024.
(4) Landsat 8 and 9 satellite imagery (30m resolution). Source: https://www.usgs.gov/. Accessed July 24, 2024. 
(5) Digital Elevation Model (DEM). Source: https://www.gscloud.cn/. Accessed July 20, 2024. 
(6) Land cover (30m resolution). Source: http://globeland30.org/home.html. Accessed July 19, 2024.
(7) Road vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.
(8) Building vector data. Source: https://lbsyun.baidu.com/products/map. Accessed January 8, 2024.
(9) Population Density (100m resolution). Source: https://www.worldpop.org/. Accessed July 10, 2024.
(10) POl vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.
DOI: 10.15468/dl.7caxjy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globicephalus macrorhynchus Gray, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004480-250123221155621/datasets/export for details.
DOI: 10.17632/kkcf42psdy.1
title: The combinatorial activities of oseltamivir and molnupiravir against influenza virus infections in vitro and in vivo

description: Oseltamivir, a neuraminidase inhibitor, is widely used in the clinic for treating influenza virus infections. However, suboptimal efficacy and risk of drug resistance development remain major challenges. Molnupiravir, a ribonucleoside analog, was originally developed to treat influenza, but was repurposed and first approved for treating COVID-19 in 2021. Considering their complementary mode-of-actions, this study aimed to investigate the combinatorial activities of oseltamivir and molnupiravir against influenza virus infections. In cell culture models, we found that β-d-N4-hydroxycytidine (NHC), the active form of molnupiravir, exerted more potent antiviral activities against influenza A and B viruses, when compared to oseltamivir treatment. Combination of NHC with oseltamivir exhibited a synergistic antiviral effect against the influenza A/Puerto Rico/8/34 H1N1 strain, but not the influenza B/Washington/02/2019 strain. In a mouse model infected with the PR/8 virus strain, treatment with molnupiravir alone or in combination with oseltamivir effectively attenuated lung injury and reduced viral load in the tissue. Taken together, molnupiravir can be explored in combination with oseltamivir to treat influenza, especially for patients infected with the oseltamivir-resistant strains, whereas further research is warranted.
DOI: 10.17632/zpn6dz4ynp.1
title: Supply Chain Transmission of Hot Weather Shocks and Adaptive Behavior of Downstream Firms: An Empirical Study Based on Listed Companies in China

description: The evidences of temperature, supply chain, and adaptive procurement shift are matched observations from three databases. The weather data are from the National Meteorological Information Center[ The statistics agency branch of China Meteorological Administration. ]; the supply chain data are from China Stock Market & Accounting Research Database (CSMAR); and the trade volume data are from China Customs Database (CCD)[ Published by the General Administration of Customs of the People’s Republic of China. ]. We collect supplier-customer pairs from major suppliers disclosed in the semi-annual reports of China A-share listed companies and use the pairs as the basic observations. Eliminating irregular[ To be specific, we eliminate the pairs with missing values in key explained and explanatory variables; eliminate observations that violate basic accounting principles, such as samples with current assets, fixed assets or net fixed assets greater than total assets; eliminate companies in the financial industries; eliminate companies with ST or PT in the current year; and eliminate companies of negative age. We then match the customer firms in every supplier-customer pair with establishments in the China Customs Database. All pairs with customer firm’s imports data will be kept in the sample. ] data points, we obtain the max sample of 3480 observations spanning 2010 to 2016.
DOI: 10.17632/42hts9yjpx.1
title: Data: Effects of the domestic and foreign financial stress on stock returns in Asia-Pacific countries

description: This is a dataset used in the empirical analysis.
DOI: 10.17632/8r24222wcc.1
title: Bangladeshi Fish Species Identification Dataset

description: This dataset comprises high-resolution smartphone images capturing various fish species commonly found in Bangladesh. The images were collected from local fish markets and labeled according to species. The dataset includes 21 folders representing different fish species, containing individual images. No preprocessing or normalization was applied to the images. There are a total of 24,925 images in the dataset.

The Fish Species Identification dataset (4.10 GB) is packaged within the compressed zip file 'Fish_Dataset.zip,' providing a structured framework for researchers to access and utilize the dataset efficiently. Upon extraction, researchers will find a main folder titled 'Resized', denoting the processed images within. Inside this directory, 21 individual subfolders are meticulously organized, each corresponding to a distinct fish species prevalent in Bangladesh. This hierarchical organization facilitates easy navigation and retrieval of data, ensuring seamless integration into research endeavors focused on fish species recognition and conservation efforts.

The dataset is organized into 21 categories, each corresponding to a different fish species. Below is the list of fish species along with the number of images available for each:

Aair (Long Whiskers Catfish) - 1804 images
Boal (Wallago) - 1651 images
Chapila (Indian River Shad) - 428 images
DeshiPuti (Local Puti) - 412 images
Foli (Spotted Snakehead) - 562 images
Ilish (Hilsa) - 1031 images
KalBaush (Orangefin Labeo) - 917 images
Katla (Catla) - 1765 images
Koi (Climbing Perch) - 842 images
Magur (Walking Catfish) - 574 images
Mrigel (Mrigal) - 1808 images
Pabda (Pabdah Catfish) - 1764 images
Pangas (Pangas Catfish) - 934 images
Puti (Puti) - 1560 images
Rui (Rohu) - 2726 images
Shol (Snakehead Murrel) - 1424 images
Shorputi (Silver Barb) - 44 images
Taki (Spotted Snakehead) - 2223 images
Tarabaim (Striped Snakehead) - 1262 images
Telapiya (Tilapia) - 2058 images
Tengra (Tengra Catfish) - 1431 images
DOI: 10.17632/8r24222wcc.2
title: Comprehensive Smartphone Image Dataset for Fish Species Identification in Bangladesh's Freshwater Ecosystems

description: This dataset comprises high-resolution smartphone images capturing various fish species commonly found in Bangladesh. The images were collected from local fish markets and labeled according to species. The dataset includes 20 folders representing different fish species, containing individual images. No preprocessing or normalization was applied to the images. There are a total of 50,000 images in the dataset (26,950 raw data and 23,050 augmented).

The Fish Species Identification dataset (6.67 GB) is packaged within the compressed zip file 'Fish Data.zip,' providing a structured framework for researchers to access and utilize the dataset efficiently. Upon extraction, researchers will find a main folder titled 'Fish Data', denoting the processed images. Inside this directory, 20 individual subfolders are meticulously organized, each corresponding to a distinct fish species prevalent in Bangladesh. This hierarchical organization facilitates easy navigation and retrieval of data, ensuring seamless integration into research endeavors focused on fish species recognition and conservation efforts.

The dataset is organized into 20 categories, each corresponding to a different fish species. Below is the list of fish species, along with the number of images available for each:

Aair (Long Whiskers Catfish) - 1804 Raw Images + 696 Augmented
Boal (Wallago) - 1651 Raw Images + 849 Augmented
Chapila (Indian River Shad) - 428 Raw Images + 2072 Augmented
DeshiPuti (Local Puti) - 412 Raw Images + 2088 Augmented
Foli (Spotted Snakehead) - 562 Raw Images + 1938 Augmented
Ilish (Hilsa) - 1031 Raw Images + 1469 Augmented
KalBaush (Orangefin Labeo) - 917 Raw Images + 1583 Augmented
Katla (Catla) - 1765 Raw Images + 735 Augmented
Koi (Climbing Perch) - 842 Raw Images + 1658 Augmented
Magur (Walking Catfish) - 574 Raw Images + 1926 Augmented
Mrigel (Mrigal) - 1808 Raw Images + 692 Augmented
Pabda (Pabdah Catfish) - 1764 Raw Images + 736 Augmented
Pangas (Pangas Catfish) - 934 Raw Images + 1566 Augmented
Puti (Puti) - 1560 Raw Images + 940 Augmented
Rui (Rohu) - 2500 Raw Images + 0 Augmented
Shol (Snakehead Murrel) - 1424 Raw Images + 1076 Augmented
Taki (Spotted Snakehead) - 2223 Raw Images + 277 Augmented
Tarabaim (Striped Snakehead) - 1262 Raw Images + 1238 Augmented
Telapiya (Tilapia) - 2058 Raw Images + 442 Augmented
Tengra (Tengra Catfish) - 1431 Raw Images + 1069 Augmented
DOI: 10.17632/8r24222wcc.3
title: Comprehensive Smartphone Image Dataset for Fish Species Identification in Bangladesh's Freshwater Ecosystems

description: This dataset comprises high-resolution smartphone images capturing various fish species commonly found in Bangladesh. The images were collected from local fish markets and labeled according to species. The dataset includes 20 folders representing different fish species, containing individual images. No preprocessing or normalization was applied to the images. There are a total of 50,000 images in the dataset (26,950 raw data and 23,050 augmented).

The Fish Species Identification dataset (6.67 GB) is packaged within the compressed zip file 'Fish Data.zip,' providing a structured framework for researchers to access and utilize the dataset efficiently. Upon extraction, researchers will find a main folder titled 'Fish Data', denoting the processed images. Inside this directory, 20 individual subfolders are meticulously organized, each corresponding to a distinct fish species prevalent in Bangladesh. This hierarchical organization facilitates easy navigation and retrieval of data, ensuring seamless integration into research endeavors focused on fish species recognition and conservation efforts.

The dataset is organized into 20 categories, each corresponding to a different fish species. Below is the list of fish species, along with the number of images available for each:

Aair (Long Whiskers Catfish) - 1804 Raw Images + 696 Augmented
Boal (Wallago) - 1651 Raw Images + 849 Augmented
Chapila (Indian River Shad) - 428 Raw Images + 2072 Augmented
DeshiPuti (Local Puti) - 412 Raw Images + 2088 Augmented
Foli (Spotted Snakehead) - 562 Raw Images + 1938 Augmented
Ilish (Hilsa) - 1031 Raw Images + 1469 Augmented
KalBaush (Orangefin Labeo) - 917 Raw Images + 1583 Augmented
Katla (Catla) - 1765 Raw Images + 735 Augmented
Koi (Climbing Perch) - 842 Raw Images + 1658 Augmented
Magur (Walking Catfish) - 574 Raw Images + 1926 Augmented
Mrigel (Mrigal) - 1808 Raw Images + 692 Augmented
Pabda (Pabdah Catfish) - 1764 Raw Images + 736 Augmented
Pangas (Pangas Catfish) - 934 Raw Images + 1566 Augmented
Puti (Puti) - 1560 Raw Images + 940 Augmented
Rui (Rohu) - 2500 Raw Images + 0 Augmented
Shol (Snakehead Murrel) - 1424 Raw Images + 1076 Augmented
Taki (Spotted Snakehead) - 2223 Raw Images + 277 Augmented
Tarabaim (Striped Snakehead) - 1262 Raw Images + 1238 Augmented
Telapiya (Tilapia) - 2058 Raw Images + 442 Augmented
Tengra (Tengra Catfish) - 1431 Raw Images + 1069 Augmented
DOI: 10.17632/xndzd4m3dh.1
title: Effects of previous csDMARDs exposure and csDMARDs co-medication on psoriatic arthritis refractory to bDMARDs

description: While new targeted therapies are approved and available for patients with psoriatic arthritis (PsA), complete remission remains an area of unmet need. Importantly, a proportion of patients are refractory to one or more biologic disease-modifying antirheumatic drugs (bDMARDs), resulting a significant clinical challenge. Although conventional synthetic disease-modifying antirheumatic drug (csDMARD) has been one of the most widely used medications for PsA, very few studies have investigated the impact of the previous csDMARDs exposure on the risk of development of PsA refractory to bDMARDs. Moreover, there is no conclusive recommendation on the comedication with csDMARDs during bDMARDs therapy. To elucidate the impact of previous csDMARDs exposure and csDMARDs co-medication on the treatment outcome of PsA refractory to bDMARDs, a retrospective study was performed at the Department of Dermatology of Xiangya Hospital.
DOI: 10.17632/bhddms3m9d.1
title: BEHAVIOUR ANALYSIS DURING HEAT STRESS IN PIGS

description: The data generated during behaviour evaluation in pigs associated with study of cooling system development in pig housing systems to alleviate heat stress. Control (c) means heat stressed group and Treatment (T) means heat stress alleviated group.
DOI: 10.17632/n2x3b75c83.1
title: Lite version of LAP

description: LAP and asthma
DOI: 10.17632/svnrd9dfgn.1
title: lipid accumulation products

description: LAP and asthma
DOI: 10.17632/9f8dmwyspb.1
title: Taylor intervals to calculate inverse Ei(x)

description: The Mathematica notebook (extension "nb"), which requires as input the three text files with lists containing a total of 3909 x 4 numbers, calculates the inverse of the exponential integral Ei[x]. The method and all details are provided in the manuscript "Numerical calculation of the inverse of the exponential integral Ei(x) with a quartic polynomial". The PDF file is the "printed" Mathematica notebook, for inspection of the algorithm without the software. Each entry in the list files with the calculated interval limits consists of four numbers, that represent Ei(L[i]), Ei(L[i+1]), X0[i], and Ei(X0[i]), or for x &gt;= 10 with the logarithmic transformation ln(Ei(L[i])), ln(Ei(L[i+1])), X0[i], and Ei(X0[i]). In the filenames, "Neg" stands for "negative", "Pos" for "positive, and "Eps11" refers to epsilon = 10^-11.
DOI: 10.17632/9f8dmwyspb.2
title: Taylor intervals to calculate inverse Ei(x)

description: The Mathematica notebook (extension "nb"), which requires as input the three text files with lists, containing a total of 3909 x 4 numbers, calculates the inverse of the exponential integral Ei[x]. The method and all details are provided in the manuscript "Numerical calculation of the inverse of the exponential integral Ei(x) with a quartic polynomial". The PDF file is the "printed" Mathematica notebook, for inspection of the algorithm without the software. Each entry in the list files with the calculated interval limits consists of four numbers, that represent the exponential integral of the lower limits, the exponential integral of the upper limits, the X0s, and the exponential integral of the X0s; in the case of logarithmic transformation (x &gt;= 10), the natural logarithm of the first two numbers is taken. In the filenames, "Neg" stands for "negative", "Pos" for "positive, and "Eps11" refers to epsilon = 10^-11.
DOI: 10.17632/9f8dmwyspb.3
title: Numerical calculation of the inverse of the exponential integral Ei(x) with a quartic polynomial

description: The Mathematica notebook (extension "nb"), which requires as input the three text files with lists, containing a total of 4522 x 4 numbers, calculates the inverse of the exponential integral Ei[x]. The method and all details are provided in the manuscript "Numerical calculation of the inverse of the exponential integral Ei(x) with a quartic polynomial". The PDF file is the "printed" Mathematica notebook, for inspection of the algorithm without the software. Each entry in the list files with the calculated interval limits consists of four numbers, that represent the exponential integral of the lower limits, the exponential integral of the upper limits, the X0s, and the exponential integral of the X0s; in the case of logarithmic transformation (x &gt;= 10), the natural logarithm of the first two numbers is taken. In the filenames, "Neg" stands for "negative", "Pos" for "positive, and "Eps11" refers to epsilon = 10^-11.
DOI: 10.15468/dl.umpgxh
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacocottus zonurus Bean, 1890",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 686 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004482-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6f9fss78dy.1
title: PERSONAL QUALITIES OF THE ANESTHESIOLOGISTS AND INTENSIVE CARE PHYSICHIANS

description: INTRODUCTION: The professional success of the anesthesiologist and intensive care physicians, saving the life and recovery of the patient directly depends not only and not so much on the knowledge, professional skills and abilities of the doctor, but on personal decision-making abilities, immediately act and ensure effective communication between participants in the treatment process in critical situation. The absence of these personal qualities can neutralize all other advantages of a specialist.
OBJECTIVE: To study the opinion of anesthesiologist and intensive care physicians about the personality properties that are necessary for the implementation of labor activity in anesthesiology and intensive care.
MATERIALS AND METHODS: An anonymous on-line survey of anesthesiologists and intensive care physicians (including residents) based on the google form was conducted, in which 140 people took part. Among the respondents were 44.3% of men and 55.7% of women. 80% of respondents were less than 35 years old, more than 70% of respondents had less than five years of work experience. The Google form consisted of twelve blocks, which included ninety-seven personality characteristics: 1) attenuation; 2) mnemic; 3) motor; 4) sensory; 5) pictorial; 6) thought; 7) emotional; 8) strong-willed; 9) speech; 10) communicative; 11) performance and 12) observation. 
RESULTS: Personality characteristics that are absolutely necessary for an anesthesiologist intensive care physicians include the following: 1) the ability to maintain stable attention for a long time, despite fatigue and extraneous stimuli; 2) the ability to see several possible paths and mentally choose the most effective; 3) ability to predict the outcome of events taking into account their probability; 4) the ability to find new and unusual solutions; 5) ability to selectively reproduce the currently desired material. 
CONCLUSION: The ideal anesthesiologist and intensive care physicians should have a minimum level of neurotization, a high degree of extraversion and conscientiousness.
DOI: 10.34965/i53280
title: 20240048-3
DOI: 10.17632/c86333f6ww.1
title: The Impact of Bank Financing

description: This folder contains the data and code to reproduce tables and figures in 

"The Impact of Bank Financing on Municipalities' Bond Issuance and the Real Economy"
Ramona Dagostino, JFE 2024.
DOI: 10.17632/j7ngwwks6n.1
title: Metaproteomics of environmental MIC samples

description: Damage caused by microbially influenced corrosion (MIC) impedes the operability of hydraulic metallic structures and has therefore needs to be researched extensively. The objective of our study was to characterize the microbial processes of freshwater environmental samples under sulphate-reducing conditions. Identification of the enzymatic patterns with iron or hydrogen as electron donor, in the presence or absence of an organic carbon source was performed. Shot-gun metaproteomics of the extracted proteins were measured by LC/MS and the following data includes the MS-spectra of the peptides . The MS-data was compared aganist a custom fasta sequence using Proteome dicoverer software 2.5 to identify the protein expression patterns of the bacteria, when incubated with iron or hydrogen as electron donors. The identified proteins were furthermore analysed by Uniprot ID mapping and KEGG database for the elucidation of the relevant microbial pathways that is CO2 fixation pathways, carbon metabolism, sulfur metabolism and energy metabolsism for the possible corrosion mechanisms/key proteins.
DOI: 10.17632/c86333f6ww.2
title: The Impact of Bank Financing

description: This folder contains the data and code to reproduce tables and figures in 

"The Impact of Bank Financing on Municipalities' Bond Issuance and the Real Economy"
Ramona Dagostino, JFE 2024.
DOI: 10.17632/c9nd7x9gcy.1
title: Supplementary material

description: Figure 1. Clinical photographs 
Figure 2. Study scheme
DOI: 10.15468/dl.ynd5z5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacocottus kincaidi Gilbert & Thompson, 1905",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004483-250123221155621/datasets/export for details.
DOI: 10.17632/dm6f7cmyv5.1
title: International journal of economic performance Volume 07 issues 01

description: International journal of economic performance Volume 07 issues 01
DOI: 10.17632/npjsksrjgc.1
title: CAP Device

description: Quartz-covered copper electrode and pulse generator
DOI: 10.5281/zenodo.14745009
title: Supplementary Data "Benchmarking Quantum Reinforcement Learning" (ANONYMIZED)

description: Pe-computed data for re-producing the results of "Benchmarking Quantum Reinforcement Learning".

Note: This is a anonymized version for double-blind peer review.