cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7xbpx47ykg.1
title: Enhanced Recovery After Surgery (ERAS) for laparoscopic hysterectomy at low-risk endometrial cancer: randomized controlled trial

description: ERAS protocols applied in early-stage endometrial cancer patients during the perioperative management of laparoscopic hysterectomy and salpingo-oophorectomy performed at low-risk endometrial cancer decrease LOS and an improve QoL.
DOI: 10.5281/zenodo.10899283
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Gross Glienicke (BEGRGL) from 2021-09-10 to 2022-07-12 [RAW]

description: Original data files from ALC measurements. Part 2 of 2.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.10899284
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Gross Glienicke (BEGRGL) from 2021-09-10 to 2022-07-12 [RAW]

description: Original data files from ALC measurements. Part 2 of 2.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.17632/5jw5dfw9pv.1
title: Analysed data sets of Next generation sequenced whole genome of chrysopelea ornata: Microsatellites, gene prediction and proteomics for forensic applications.

description: This study provides the list of microsatellites, genes and protiens in the whole genome of Chrysopelea ornata. A total of 338,108 ideal microsatellites were detected by the utilization of MISA to examine the genome sequence. A study was conducted on the distribution of six SSR categories, which includes mononucleotide, dinucleotide, trinucleotide, tetranucleotide, pentanucleotide, and hexanucleotide repeats. The findings, presented in Table 1, disclose the comparative distribution of each category. Out of the microsatellites that were found, mononucleotide repeats were the most common, making up 33% of all the perfect SSRs. The distribution of SSR categories, following mononucleotide repeats, was as follows: tetranucleotide (24%), dinucleotide (18%), trinucleotide (15%), pentanucleotide (9%), and hexanucleotide (1%). This study enhances the understanding of the distribution of microsatellites in the genome of Chrysopelea ornata. Gene prediction using Augustus identified a total of 156,707 genes. Annotation with UniParc and UniProt databases resulted in 26,195 and 8,510 protein IDs, respectively.
DOI: 10.17632/5jw5dfw9pv.2
title: Analysed data sets of Next generation sequenced whole genome of chrysopelea ornata: Microsatellites, gene prediction and proteomics for forensic applications.

description: This study provides the list of microsatellites, genes and protiens in the whole genome of Chrysopelea ornata. A total of 338,108 ideal microsatellites were detected by the utilization of MISA to examine the genome sequence. A study was conducted on the distribution of six SSR categories, which includes mononucleotide, dinucleotide, trinucleotide, tetranucleotide, pentanucleotide, and hexanucleotide repeats. The findings, presented in Table 1, disclose the comparative distribution of each category. Out of the microsatellites that were found, mononucleotide repeats were the most common, making up 33% of all the perfect SSRs. The distribution of SSR categories, following mononucleotide repeats, was as follows: tetranucleotide (24%), dinucleotide (18%), trinucleotide (15%), pentanucleotide (9%), and hexanucleotide (1%). This study enhances the understanding of the distribution of microsatellites in the genome of Chrysopelea ornata. Gene prediction using Augustus identified a total of 156,707 genes. Annotation with UniParc and UniProt databases resulted in 26,195 and 8,510 protein IDs, respectively.
DOI: 10.15468/dl.4e4rdw
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saussurea medusa Maxim."
 ]
}

 The dataset includes 271 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049831-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10848499
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Gross Glienicke (BEGRGL) from 2021-09-10 to 2022-07-12 [RAW]

description: Original data files from ALC measurements. Part 1 of 2.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.10848500
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Gross Glienicke (BEGRGL) from 2021-09-10 to 2022-07-12 [RAW]

description: Original data files from ALC measurements. Part 1 of 2.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.11073245
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Forst Grunewald (BEFOGR) from 2021-09-11 to 2022-10-25 [RAW]

description: Original data files from ALC measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Fred Meier, Achim Holtmann, Dieter Scherer. Some rights reserved.

CREATOR NOTICE

This work is owned by Fred Meier, Achim Holtmann, and Dieter Scherer and is part of the Urban Climate Observatory (UCO) Berlin.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the research programme Urban Climate Under Change [UC]² funded by the German Ministry of Research and Education (grant agreement No FKZ 01LP1602A) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the Funding Agencies accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the Funding Agencies are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.
DOI: 10.5281/zenodo.11073246
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Forst Grunewald (BEFOGR) from 2021-09-11 to 2022-10-25 [RAW]

description: Original data files from ALC measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Fred Meier, Achim Holtmann, Dieter Scherer. Some rights reserved.

CREATOR NOTICE

This work is owned by Fred Meier, Achim Holtmann, and Dieter Scherer and is part of the Urban Climate Observatory (UCO) Berlin.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the research programme Urban Climate Under Change [UC]² funded by the German Ministry of Research and Education (grant agreement No FKZ 01LP1602A) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the Funding Agencies accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the Funding Agencies are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.
DOI: 10.5281/zenodo.11073259
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – TUB Campus Charlottenburg (BETUCC) from 2021-09-09 to 2022-10-12 [RAW]

description: Original data files from ALC measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Fred Meier, Achim Holtmann, Dieter Scherer. Some rights reserved.

CREATOR NOTICE

This work is owned by Fred Meier, Achim Holtmann, and Dieter Scherer and is part of the Urban Climate Observatory (UCO) Berlin.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the research programme Urban Climate Under Change [UC]² funded by the German Ministry of Research and Education (grant agreement No FKZ 01LP1602A) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the Funding Agencies accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the Funding Agencies are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.
DOI: 10.5281/zenodo.11073260
title: Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – TUB Campus Charlottenburg (BETUCC) from 2021-09-09 to 2022-10-12 [RAW]

description: Original data files from ALC measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Fred Meier, Achim Holtmann, Dieter Scherer. Some rights reserved.

CREATOR NOTICE

This work is owned by Fred Meier, Achim Holtmann, and Dieter Scherer and is part of the Urban Climate Observatory (UCO) Berlin.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the research programme Urban Climate Under Change [UC]² funded by the German Ministry of Research and Education (grant agreement No FKZ 01LP1602A) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the Funding Agencies accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the Funding Agencies are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.
DOI: 10.5519/qd.hvjjfn9m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5537369 records)
DOI: 10.60656/862c2c3ab4dd4661
title: Custom collection of categorize data from Lindenberg between 1 Jan and 31 Dec 2015
DOI: 10.5281/zenodo.14561346
title: Italian Children's Hope Scale DATASET

description: Italian Children’s Hope Scale DATASET for validation and gender differences

FILE: DATASET_CHS contains data about age, gender, Socioeconomic status (SES), pre CHS score (used for Confirmatory and Exploratory Factor Analysis), post CHS score (used for test-retest reliability).
DOI: 10.5281/zenodo.8389541
title: Italian Children's Hope Scale DATASET

description: Italian Children’s Hope Scale DATASET for validation FILE: CHS_AgeGender.xlsx contains age and gender data FILE: CHS_data.xlsx contains data used for Confirmatory and Exploratory Factor Analysis FILE: CHS_t0_t1.xlsx Contains data used fot Test Retest reliability
DOI: 10.5281/zenodo.14557360
title: Italian Children's Hope Scale DATASET

description: Italian Children’s Hope Scale DATASET for validation and gender differences

FILE: DATASET_CHS contains data about age, gender, Socioeconomic status (SES), pre CHS score (used for Confirmatory and Exploratory Factor Analysis), post CHS score (used for test-retest reliability).
DOI: 10.5281/zenodo.8389540
title: Italian Children's Hope Scale DATASET

description: Italian Children’s Hope Scale DATASET for validation and gender differences

FILE: DATASET_CHS contains data about age, gender, Socioeconomic status (SES), pre CHS score (used for Confirmatory and Exploratory Factor Analysis), post CHS score (used for test-retest reliability).
DOI: 10.17632/xw7mrg7ntg.1
title: KJS-50K

description: KJS-50K: A Multi-view Open-access Dataset for Paired Artifact and Non-artifact Knee Joint Scans.
We compiled a dataset of 1,341 multi-parameter knee magnetic resonance imaging (MRI) scans from 1,104 patients to address artifact removal in medical imaging. Each case consists of paired images: one containing artifacts and its corresponding ground truth image without artifacts.
This repository contains the part 1 data of 700 scans.
DOI: 10.17632/xw7mrg7ntg.2
title: KJS-50K

description: KJS-50K: A Multi-view Open-access Dataset for Paired Artifact and Non-artifact Knee Joint Scans.
We compiled a dataset of 1,341 multi-parameter knee magnetic resonance imaging (MRI) scans from 1,104 patients to address artifact removal in medical imaging. Each case consists of paired images: one containing artifacts and its corresponding ground truth image without artifacts. 
This repository contains the part 1 data of 700 scans. Due to space limitation, for the rest part 2 data, please refer to this link: https://data.mendeley.com/datasets/95w9f5tzz8/1.
DOI: 10.17632/tdtnzh3xf4.1
title: IBC_1

description: Institutional Biosafety Committees from Mexico 2009-mid 2023.
The data included here shows the registered IBCs in Mexico from 2009 to mid 2023 and their institutional profile. For comparison, the number of IBCs from Brazil 2024, Pakistan 2024 and the USA 2022 and sociodemographic data for all these countries (population, population density, state GDP (GSP), Human development Index (2021) is also included.

State GDP shows a significant correlation with the number of IBCs registered in each state for all the countries tested, whereas HDI shows no correlation at all.
For population and population density, the results are not so consistent and require further research.

All these data come from public databases and public requests of information to respective authorities.
DOI: 10.17632/xw7mrg7ntg.5
title: KMAR-50K

description: KMAR-50K: A Multi-view Open-access Dataset of Paired Knee MRI for Motion Artifact Removal.
We compiled a dataset of 1,341 multi-parameter knee magnetic resonance imaging (MRI) scans from 1,104 patients to address artifact removal in medical imaging. Each case consists of paired images: one containing artifacts and its corresponding ground truth image without artifacts. 
This repository contains the part 1 data of 700 scans. Due to space limitation, for the rest part 2 data, please refer to this link: https://data.mendeley.com/datasets/95w9f5tzz8.
DOI: 10.17632/tdtnzh3xf4.2
title: Registered IBCs in Mexico from 2009 - 2023

description: Institutional Biosafety Committees from Mexico 2009-mid 2023.
The data included here shows the registered IBCs in Mexico from 2009 to mid 2023 and their institutional profile. For comparison, the number of IBCs from Brazil 2024, Pakistan 2024 and the USA 2022 and sociodemographic data for all these countries (population, population density, state GDP (GSP), Human development Index (2021) is also included.

State GDP shows a significant correlation with the number of IBCs registered in each state for all the countries tested, whereas HDI shows no correlation at all.
For population and population density, the results are not so consistent and require further research.

All these data come from public databases and public requests of information to respective authorities.
DOI: 10.5281/zenodo.10847667
title: Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-05 to 2022-10-24 [RAW]

description: Original data files from DWL measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project