cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19932257
title: Prematurity and functional gastrointestinal disorders in infancy: a cross-sectional study

description: ABSTRACT BACKGROUND: Functional gastrointestinal disorders (FGIDs) are defined as a variable combination of chronic or recurrent gastrointestinal symptoms that are not explained by structural or biochemical abnormalities. Their relationship with prematurity has been increasingly studied. OBJECTIVE: To compare the frequency of FGIDs in preterm and term infants and to evaluate whether invasive procedures during the neonatal period in preterm infants are associated with greater likelihood of FGIDs in the first two years of life. DESIGN AND SETTING: Controlled nested cross-sectional study conducted in a Brazilian university hospital. METHODS: This was a controlled nested cross-sectional study on a retrospective cohort of infants born preterm who were compared with infants born at term regarding the presence of FGIDs. Medical consultations were conducted by a single pediatric gastroenterologist to obtain information on the gestational and neonatal periods and on clinical manifestations of the digestive tract. The Rome IV criteria for the diagnosis of FGIDs were used. RESULTS: A total of 197 infants (&lt; 24 months), including 99 preterm and 98 term infants, were studied. Infant regurgitation was more prevalent in term infants (35.1% and 15.6%; P &lt; 0.001). The frequencies of other FGIDs (infant colic, functional constipation, functional diarrhea and infant dyschezia) in preterm infants did not differ from those of term infants (P &gt; 0.05). No relationship was found between invasive procedures during the neonatal period and development of FGIDs in preterm infants. CONCLUSION: Infants born preterm did not have higher frequency of FGIDs in the first two years of life.
DOI: 10.34740/kaggle/dsv/3723809
title: AutoXGB
DOI: 10.34740/kaggle/dsv/3723804
title: Health Workforce Shortage Areas
DOI: 10.6084/m9.figshare.19932260
title: Effects of orthochlorobenzalmalononitrile on horses used in Public Security

description: ABSTRACT The effects on human beings of tear gas (CS) used by police forces during the control of civil disturbances are widely known and amply described in numerous scientific papers. However, the advent of the concepts of animal welfare raises the question of whether animals exposed to CS in such events, specifically horses, would suffer the same effects as those described for humans. The purpose of this study was to determine whether mounted police horses exposed to CS exhibit the same symptoms as humans. In this study, 12 horses of the Military Police of Paraná, healthy and with no history of respiratory tract disorders, were led through a gas cloud caused by the detonation of six teargas grenades. The horses’ physiological parameters of respiratory rate, heart rate, rectal temperature, and color of the eye mucosa were evaluated 24 hours before exposure, 30 min, and 24 hours after exposure. Blood samples were collected for complete blood count (CBC) and blood gas analysis and samples of eye mucosa were obtained using sterile swabs. The analysis of these parameters did not reveal effects analogous to those described in humans.
DOI: 10.6084/m9.figshare.19932260.v1
title: Effects of orthochlorobenzalmalononitrile on horses used in Public Security

description: ABSTRACT The effects on human beings of tear gas (CS) used by police forces during the control of civil disturbances are widely known and amply described in numerous scientific papers. However, the advent of the concepts of animal welfare raises the question of whether animals exposed to CS in such events, specifically horses, would suffer the same effects as those described for humans. The purpose of this study was to determine whether mounted police horses exposed to CS exhibit the same symptoms as humans. In this study, 12 horses of the Military Police of Paraná, healthy and with no history of respiratory tract disorders, were led through a gas cloud caused by the detonation of six teargas grenades. The horses’ physiological parameters of respiratory rate, heart rate, rectal temperature, and color of the eye mucosa were evaluated 24 hours before exposure, 30 min, and 24 hours after exposure. Blood samples were collected for complete blood count (CBC) and blood gas analysis and samples of eye mucosa were obtained using sterile swabs. The analysis of these parameters did not reveal effects analogous to those described in humans.
DOI: 10.5281/zenodo.5770259
title: Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit and Effects on the Point Cloud

description: This data repository contains vibration tests of an Ouster OS1-64 lidar including a docker based python environment and documentation. It consists of movement data, Fotos, IMU data, pointclouds and a ground truth measurements with an Riegl VZ6000 laser scaner. For further details see the linked publication and the example.ipynb notebook. <strong>Quick start</strong> download the repo unzip the archive install VS code with the remote development extension install docker desktop open the folder in a new VS code window Say "yes" to open the folder inside a docker container wait for the container to start open the example jupyter notebook <strong>Structure</strong> <pre>├── .devcontainer .... VS code devcontainer (arm64 and amd64)</pre> <pre>├── Acceleromenter_A_z_deflection .... Accelerometer data</pre> <pre>├── Foto .... Fotos of the setup</pre> <pre>│ ├── VZ6000 .... Fotos of the ground truth measurements</pre> <pre>│ └── test_setup .... Fotos of the test setup</pre> <pre>├── Notebook .... A jupyter notebook with examples</pre> <pre>├── OS1_64_IMU .... Ouster IMU data</pre> <pre>├── OS1_64_pointcloud .... point cloud data</pre> <pre>├── VZ6000_groundtruth .... Ground truth data from Riegl VZ6000</pre> <pre> └── targets .... contains 2 different sets of reference</pre> <pre>│ ├── scene_aligned_by_reflectors</pre> <pre>│ └── targets_aligned</pre> <pre>└── files.csv .... an overview of the files and meta data</pre>
description: {"references": ["Schlager et al. (2022): Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit, and Effects on the Point Cloud, 10.1109/OJITS.2022.3176471"]}
DOI: 10.5281/zenodo.5770258
title: Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit and Effects on the Point Cloud

description: This data repository contains vibration tests of an Ouster OS1-64 lidar including a docker based python environment and documentation. It consists of movement data, Fotos, IMU data, pointclouds and a ground truth measurements with an Riegl VZ6000 laser scaner. For further details see the linked publication and the example.ipynb notebook. <strong>Quick start</strong> download the repo unzip the archive install VS code with the remote development extension install docker desktop open the folder in a new VS code window Say "yes" to open the folder inside a docker container wait for the container to start open the example jupyter notebook <strong>Structure</strong> <pre>├── .devcontainer .... VS code devcontainer (arm64 and amd64)</pre> <pre>├── Acceleromenter_A_z_deflection .... Accelerometer data</pre> <pre>├── Foto .... Fotos of the setup</pre> <pre>│ ├── VZ6000 .... Fotos of the ground truth measurements</pre> <pre>│ └── test_setup .... Fotos of the test setup</pre> <pre>├── Notebook .... A jupyter notebook with examples</pre> <pre>├── OS1_64_IMU .... Ouster IMU data</pre> <pre>├── OS1_64_pointcloud .... point cloud data</pre> <pre>├── VZ6000_groundtruth .... Ground truth data from Riegl VZ6000</pre> <pre> └── targets .... contains 2 different sets of reference</pre> <pre>│ ├── scene_aligned_by_reflectors</pre> <pre>│ └── targets_aligned</pre> <pre>└── files.csv .... an overview of the files and meta data</pre>
description: {"references": ["Schlager et al. (2022): Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit, and Effects on the Point Cloud, 10.1109/OJITS.2022.3176471"]}
DOI: 10.6084/m9.figshare.19932176.v1
title: Minimal dataset for PlosOne PONE-D-21-40426

description: This dataset is used for showing the inter-eye differences of biometric measures in a large cataractous population and the consequences for IOL power calculations
DOI: 10.6084/m9.figshare.19932176
title: Minimal dataset for PlosOne PONE-D-21-40426

description: This dataset is used for showing the inter-eye differences of biometric measures in a large cataractous population and the consequences for IOL power calculations
DOI: 10.17632/pscjjb2gtz.1
title: Benthic oxygen isotopes from core AI-3321, Rio Grande Rise

description: In core AI-3321, the oxygen isotope ratio (δ 18O) was measured down-core with low-resolution on benthic foraminifer C. wuellerstorfi 
at the Godwin Laboratory for Palaeoclimate Research (Cambridge, UK). 

Core AI-3321
30°59.113'S (-30.9852144)
38°2.448'W (-38.0408007)
Depth: 2969 m; Length: 293 cm
DOI: 10.17632/vv38pyscdn.1
title: Towards real-time vibro-acoustic classification, verification and tracking of in-flight UAVs - Spectrogram Dataset

description: This data set was generated for the purpose of training a CNN to classify UAVs based on their in-flight vibration signature. For more information refer to publication "Towards real-time vibro-acoustic classification, verification and tracking of in-flight UAVs" by R. Holmewood, B. Halkon and A. Darwish. (Publication location will be added once accepted)

Folder structure presents the initial tier being spectral resolution divisions, with the proceeding layers being based on colour axis values.
DOI: 10.6084/m9.figshare.19932263.v1
title: Serum levels of interleukin-2 differ between prostate cancer and benign prostatic hyperplasia

description: ABSTRACT Objective Investigation onthe systemic inflammatory profile ofpatients affected by prostate cancer (PCa) or prostatic hyperplasia (BPH) may contribute to characterize the pathological profile as well as enable identification of markers and promote alternatives for appropriate, less invasive treatments. Methods This research compared serum levels of 10 classic inflammatory mediators among patients aged 50 years or older affected by PCa or BPH. For this, clinical, biochemical, metabolic, anthropometric and inflammatory aspects of each patient was considered. Results From the statistical analysis, a weakpositive correlation (r = 0.16) between IL-2 with serum total PSA values was found. In addition, median serum IL-2 values were three times higher in patients with PCa compared to BPH patients. Conclusion By interpretation of current literature, we hypothesize that the activity of infiltratedtype M1 macrophages and activated cytotoxic cells in the neoplasm milieu might explain this increase of IL-2 as part of anendogenous anti-neoplastic response.
DOI: 10.6084/m9.figshare.19932263
title: Serum levels of interleukin-2 differ between prostate cancer and benign prostatic hyperplasia

description: ABSTRACT Objective Investigation onthe systemic inflammatory profile ofpatients affected by prostate cancer (PCa) or prostatic hyperplasia (BPH) may contribute to characterize the pathological profile as well as enable identification of markers and promote alternatives for appropriate, less invasive treatments. Methods This research compared serum levels of 10 classic inflammatory mediators among patients aged 50 years or older affected by PCa or BPH. For this, clinical, biochemical, metabolic, anthropometric and inflammatory aspects of each patient was considered. Results From the statistical analysis, a weakpositive correlation (r = 0.16) between IL-2 with serum total PSA values was found. In addition, median serum IL-2 values were three times higher in patients with PCa compared to BPH patients. Conclusion By interpretation of current literature, we hypothesize that the activity of infiltratedtype M1 macrophages and activated cytotoxic cells in the neoplasm milieu might explain this increase of IL-2 as part of anendogenous anti-neoplastic response.
DOI: 10.25446/oxford.19041089
title: TEI Testing Files

description: Test XML files as used within the demo of the Oxford University Figshare TEI Viewer, linked below.
DOI: 10.25446/oxford.19086893.v1
title: SDS Scoping Sessions Polling Data, 2021

description: Amalgamated data from polling responses at in-person and virtual SDS Research Consultation sessions in 2021.
DOI: 10.25446/oxford.19041089.v1
title: TEI Testing Files

description: Test XML files as used within the demo of the Oxford University Figshare TEI Viewer, linked below.
DOI: 10.25446/oxford.19086893
title: SDS Scoping Sessions Polling Data, 2021

description: Amalgamated data from polling responses at in-person and virtual SDS Research Consultation sessions in 2021.
DOI: 10.5281/zenodo.6597348
title: Mapping Cropland in Ethiopia Using Crowdsourcing

description: The spatial distribution of cropland is an important input to many applications including food security monitoring and economic land use modeling. Global land cover maps derived from remote sensing are one source of cropland but they are currently not accurate enough in the cropland domain to meet the needs of the user community. Moreover, when compared with one another, these land cover products show large areas of spatial disagreement, which makes the choice very difficult regarding which land cover product to use. This paper takes an entirely different approach to mapping cropland, using crowdsourcing of Google Earth imagery via tools in Geo-Wiki. Using sample data generated by a crowdsourcing campaign for the collection of the degree of cultivation and settlement in Ethiopia, a cropland map was created using simple inverse distance weighted interpolation. The map was validated using data from the GOFC-GOLD validation portal and an independent crowdsourced dataset from Geo-Wiki. The results show that the crowdsourced cropland map for Ethiopia has a higher overall accuracy than the individual global land cover products for this country. Such an approach has great potential for mapping cropland in other countries where such data do not currently exist. Not only is the approach inexpensive but the data can be collected over a very short period of time using an existing network of volunteers.
DOI: 10.5281/zenodo.6597347
title: Mapping Cropland in Ethiopia Using Crowdsourcing

description: The spatial distribution of cropland is an important input to many applications including food security monitoring and economic land use modeling. Global land cover maps derived from remote sensing are one source of cropland but they are currently not accurate enough in the cropland domain to meet the needs of the user community. Moreover, when compared with one another, these land cover products show large areas of spatial disagreement, which makes the choice very difficult regarding which land cover product to use. This paper takes an entirely different approach to mapping cropland, using crowdsourcing of Google Earth imagery via tools in Geo-Wiki. Using sample data generated by a crowdsourcing campaign for the collection of the degree of cultivation and settlement in Ethiopia, a cropland map was created using simple inverse distance weighted interpolation. The map was validated using data from the GOFC-GOLD validation portal and an independent crowdsourced dataset from Geo-Wiki. The results show that the crowdsourced cropland map for Ethiopia has a higher overall accuracy than the individual global land cover products for this country. Such an approach has great potential for mapping cropland in other countries where such data do not currently exist. Not only is the approach inexpensive but the data can be collected over a very short period of time using an existing network of volunteers.
DOI: 10.34740/kaggle/dsv/3723844
title: WallStreetBets 2022
DOI: 10.13145/bacdive161236.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161237.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161238.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161239.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161240.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161241.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161242.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161243.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161244.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161245.20230509.8
title: <i>Fructilactobacillus</i> <i>sanfranciscensis</i> (Weiss and Schillinger 1984) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161246.20230509.8
title: <i>Escherichia</i> <i>coli</i> (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161247.20230509.8
title: <i>Glaciecola</i> <i>nitratireducens</i> Baik <i>et al.</i> 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161248.20230509.8
title: <i>Prevotella</i> <i>multiformis</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161249.20230509.8
title: <i>Prevotella</i> <i>multiformis</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161250.20230509.8
title: <i>Prevotella</i> <i>multiformis</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161251.20230509.8
title: <i>Lentibacillus</i> <i>kapialis</i> Pakdeeto <i>et al.</i> 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161252.20230509.8
title: <i>Gluconobacter</i> <i>uchimurae</i> Tanasupawat <i>et al.</i> 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161253.20230509.8
title: <i>Gluconobacter</i> <i>uchimurae</i> Tanasupawat <i>et al.</i> 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161254.20230509.8
title: <i>Bifidobacterium</i> <i>pseudolongum</i> subsp. <i>pseudolongum</i> (Mitsuoka 1969) Yaeshima <i>et al.</i> 1992

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161255.20230509.8
title: <i>Leuconostoc</i> <i>mesenteroides</i> subsp. <i>mesenteroides</i> (Tsenkovskii 1878) Garvie 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161256.20230509.8
title: <i>Lactococcus</i> <i>lactis</i> subsp. <i>lactis</i> (Lister 1873) Schleifer <i>et al.</i> 1986

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161257.20230509.8
title: <i>Leuconostoc</i> <i>citreum</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161258.20230509.8
title: <i>Mycobacterium</i> <i>shottsii</i> Rhodes <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161259.20230509.8
title: <i>Micromonospora</i> <i>narathiwatensis</i> Thawai <i>et al.</i> 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161260.20230509.8
title: <i>Micromonospora</i> <i>humi</i> Songsumanus <i>et al.</i> 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161261.20230509.8
title: <i>Micromonospora</i> <i>siamensis</i> Thawai <i>et al.</i> 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161262.20230509.8
title: <i>Sulfurihydrogenibium</i> <i>yellowstonense</i> Nakagawa <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161263.20230509.8
title: <i>Magnetospirillum</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161264.20230509.8
title: <i>Magnetospirillum</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161265.20230509.8
title: <i>Magnetospirillum</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.