cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26190/unsworks/1253
title: Australian and New Zealand Neonatal Network Data 2004

description: The data has been collected by the Australian and New Zealand Neonatal Network (ANZNN) to improve the care of high-risk newborn infants and their families in Australian and New Zealand through collaborative audit and research. This is the fourteenth year that the ANZNN has collected data, allowing comparative reporting over time. Registration criteria - babies who meet one or more of the following criteria are eligible for registration with the ANZNN: * born at less than 32 completed weeks gestation, or * weighed less than 1,500 grams at birth, or * received assisted ventilation (mechanical ventilation) including intermittent positive pressure ventilation (IPPV) or continuous positive pressure (CPAP) for four or more consecutive hours, or died while receiving mechanical ventilation prior to four hours of age, or * received major surgery (surgery that involved opening a body cavity), or * received therapeutic hypothermia. Babies who were discharged home and readmitted to neonatal intensive care unit (NICU) during their neonatal period were not eligible for registration in the ANZNN. Babies who were discharged home and readmitted to a NICUS during their neonatal period are not registered to ANZNN. The hospital of registration for a baby is the first level III NICU that the baby remained in for four or more hours during the first 28 days of life. Babies who received their entire care in a level II hospital or who were not transferred to a level III NICU during the first 28 days were registered to the first level II centre that they remained in for four or more hours. In 2004, 7,399 babies registered to ANZNN in all NICUs in Australia and New Zealand and 361 babies registered to ANZNN in 15 level II nurseries. Data in this collection include: maternal characteristics (maternal age, presenting antenatal problem, antenatal corticosteroid use, method of birth and place of birth) and baby's characteristics (baby gender, transfer after birth, multiple births, congenital abnormalities, apgar score at birth, exogenous surfactant, respiratory assistance, type of assisted ventilation, ventilation in babies born at less than 32 weeks gestation, ventilation in babies born at 32 to 36 weeks gestation, ventilation in babies born at term, chronic lung disease, pulmonary air leak, cerebral ultrasound, neonatal surgery, necrotising enterocolitis, neonatal infection,, transfer from level III NICUs to other units, length of stay until discharge home and survival of the ANZNN registrants). https://npesu.unsw.edu.au/data-collection/australian-new-zealand-neonatal-network-anznn
DOI: 10.26190/unsworks/1255
title: Australian and New Zealand Neonatal Network Data 2005

description: The data has been collected by the Australian and New Zealand neonatal Network (ANZNN) to improve the care of high-risk newborn infants and their families in Australia and New Zealand through collaborative audit and research. The data were collected from all level III neonatal intensive care units in both Australia and New Zealand, all level II special care units in New Zealand and the special care unit in Tasmania. The data include information on all babies born at less than 32 weeks gestation or with a birthweight of less than 1500 grams and babies who received assisted ventilation or major surgery. In 2005, There were 6,044 babies registered to ANZNN from 22 NICUs in Australia and 1,585 babies registered at all level III NICUs in New Zealand. In level II nurseries, 411 babies fulfilled the ANZNN criteria and registered with ANZNN. Data in this collection include: maternal characteristics (maternal age, gestational age, presenting antenatal problem, antenatal corticosteroid use, method of delivery, place of birth, transfer after birth to a level III NICU, and plurality of birth ); and baby's characteristics (admission temperature, apgar score at birth, exogenous surfactant, respiratory assistance, type of assisted ventilation, chronic lung disease, air leak, retinopathy of prematurity, cerebral ultrasound and necrotising enterocolitis, neonatal surgery, neonatal infection, congenital anomalies, breast feeding at discharge, transfer from level IIl NICUs to other nurseries and length of stay until discharge home, discharge status). https://npesu.unsw.edu.au/data-collection/australian-new-zealand-neonatal-network-anznn
DOI: 10.26190/unsworks/1258
title: Australian and New Zealand Neonatal Network Data 2010

description: Data have been collected by the Australian and New Zealand Neonatal Network (ANZNN) to improve the care of high-risk newborn infants and their families in Australian and New Zealand through collaborative audit and research. This is the sixteenth year that the ANZNN has collected data, allowing comparative reporting over time. Registration criteria - babies who meet one or more of the following criteria are eligible for registration with the ANZNN: * born at less than 32 weeks gestation, or * weighed less than 1,500 grams at birth, or * received assisted ventilation (mechanical ventilation) including intermittent positive pressure ventilation (IPPV) or continuous positive pressure (CPAP) or high flow for four or more consecutive hours, or died while receiving mechanical ventilation prior to four hours of age, or * received major surgery (surgery that involved opening a body cavity), or * received therapeutic hypothermia. Babies who were discharged home and readmitted to neonatal intensive care unit (NICU) during their neonatal period were not eligible for registration in the ANZNN. The hospital of registration was the first level III NICU in which the baby, aged less than 28 days, stayed for four or more hours. Babies who received their entire care in a level II hospital or who were not transferred to a level III NICU during the first 28 days were registered to the first level II centre that they remained in for four or more hours. In 2010, there were 6,350 babies from 21 level III NICUs in Australia and 1,886 babies from six level III NICUs in New Zealand registered to ANZNN. In 2010, 778 babies fulfilled the ANZNN criteria for registration to 20 level II units in Australia and New Zealand. Data in this collection include: maternal characteristics (maternal age, previous antenatal history, assisted conception, presenting antenatal problem, antenatal corticosteroid use, multiple births, method of birth, place of birth, transport after birth to a level III NICU and breastfeeding at discharge) and baby's characteristics (baby gender, resuscitation in delivery suite, apgar score at birth, admission temperature, indication for respiratory support, exogenous surfactant, type of assisted ventilation, ventilation in babies born at less than 32 weeks gestation, ventilation in babies born at 32 to 36 weeks gestation, ventilation in babies born at term, supplemental oxygen therapy, chronic lung disease, pulmonary air leak, neonatal sepsis, retinopathy of prematurity, intraventricular haemorrhage, late cerebral ultrasound, necrotising enterocolitis, congenital anomalies, transfer from level III NICUs to other units, length of stay until discharge home and survival of the ANZNN registrants). https://npesu.unsw.edu.au/data-collection/australian-new-zealand-neonatal-network-anznn
DOI: 10.26190/unsworks/1352
title: Australian and New Zealand Neonatal Network Data 2008-2009

description: The data has been collected by the Australian and New Zealand Neonatal Network (ANZNN) to improve the care of high-risk newborn infants and their families in Australian and New Zealand through collaborative audit and research. This is the fourteenth year that the ANZNN has collected data, allowing comparative reporting over time. Registration criteria - babies who meet one or more of the following criteria are eligible for registration with the ANZNN: * born at less than 32 completed weeks gestation, or * weighed less than 1,500 grams at birth, or * received assisted ventilation (mechanical ventilation) including intermittent positive pressure ventilation (IPPV) or continuous positive pressure (CPAP) for four or more consecutive hours, or died while receiving mechanical ventilation prior to four hours of age, or * received major surgery (surgery that involved opening a body cavity), or * received therapeutic hypothermia. Babies who were discharged home and readmitted to neonatal intensive care unit (NICU) during their neonatal period were not eligible for registration in the ANZNN. The hospital of registration was the first level III NICU in which the baby, aged less than 28 days, stayed for four or more hours. Babies who received their entire care in a level II hospital or who were not transferred to a level III NICU during the first 28 days were registered to the first level II centre that they remained in for four or more hours. In 2008, there were 6,787 babies from 22 level III NICUs in Australia and 1,841 babies from six level III NICUs in New Zealand registered to ANZNN. In 2008, 704 babies fulfilled the ANZNN criteria for registration to 22 level II units in Australia and New Zealand. In 2009, there were 7,230 babies registered to ANZNN from 22 level III NICUs in Australia and 1,756 babies from six level III NICUs in New Zealand. In 2009, 658 babies fulfilled the ANZNN criteria to 22 level II units in Australia and New Zealand. Data in this collection include: maternal characteristics (maternal age, previous antenatal history, assisted conception, presenting antenatal problem, antenatal corticosteroid use, multiple births, method of birth, place of birth, transport after birth to a level III NICU and breastfeeding at discharge) and baby's characteristics (baby gender, resuscitation in delivery suite, apgar score at birth, admission temperature, indication for respiratory support, exogenous surfactant, type of assisted ventilation, ventilation in babies born at less than 32 weeks gestation, ventilation in babies born at 32 to 36 weeks gestation, ventilation in babies born at term, supplemental oxygen therapy, chronic lung disease, pulmonary air leak, neonatal sepsis, retinopathy of prematurity, intraventricular haemorrhage, late cerebral ultrasound, necrotising enterocolitis, congenital anomalies, transfer from level III NICUs to other units, length of stay until discharge home and survival of the ANZNN registrants). https://npesu.unsw.edu.au/data-collection/australian-new-zealand-neonatal-network-anznn
DOI: 10.26190/unsworks/1387
title: Australian and New Zealand Neonatal Network Data 2007

description: The data has been collected by the Australian and New Zealand Neonatal Network (ANZNN) to improve the care of high-risk newborn infants and their families in Australian and New Zealand through collaborative audit and research. This is the thirteenth year that the ANZNN has collected data, allowing comparative reporting over time. There were 6,358 babies from 22 level III NICUs in Australia and 1,644 babies from six level III NICUs in New Zealand registered to ANZNN in 2007. In 2007, 464 babies fulfilled the ANZNN criteria and registered to 18 level II nurseries (14 in New Zealand and 6 in Australia). Data in this collection include maternal characteristics (maternal age, previous antenatal history, assisted conception, presenting antenatal problem, antenatal corticosteroid use, multiple births, method of birth, place of birth, transport after birth to a level III NICU, breastfeeding at discharge and gestational age); and baby's characteristics (gender, resuscitation in delivery suite, apgar score at birth, admission temperature, indication for respiratory support, exogenous surfactant, type of assisted ventilation,ventilation in babies born at less than 32 weeks gestation, ventilation in babies born at 32 to 36 weeks gestation, ventilation in babies born at term, supplemental oxygen therapy, chronic lung disease, pulmonary air leak, neonatal sepsis, retinopathy of prematurity, intraventricular haemorrhage, late cerebral ultrsound, necrotising enterocolitis, neonatal surgery, congenital anomalies, transfer from level III NICUs to other units, length of stay until discharge home and survival of the ANZNN registrants). https://npesu.unsw.edu.au/data-collection/australian-new-zealand-neonatal-network-anznn
DOI: 10.26190/unsworks/1399
title: Australian and New Zealand Neonatal Network Data 2006

description: The data has been collected by the Australian and New Zealand neonatal Network (ANZNN) to improve the care of high-risk newborn infants and their families in Australia and New Zealand through collaborative audit and research. The data were collected from all level III neonatal intensive care units in both Australia and New Zealand, all level II special care units in New Zealand and the special care unit in Tasmania. The data include information on all babies born at less than 32 weeks gestation or with a birthweight of less than 1500 grams and babies who received assisted ventilation or major surgery. In 2006, there were 6,494 mothers in Australia and New Zealand who gave birth to babies who were admitted to a level III or level II nursery. Among babies born in 2006, 7,592 were admitted to a level III NICU in Australia or New Zealand and 411 were admitted to one of the fifteen paricipating level II nurseries in Tasmania and New Zealand. Data in this collection include maternal characteristics (maternal age, gestational age, presenting antenatal problem, antenatal corticosteroid use, method of delivery, place of birth, transfer after birth to a level III NICU, nultiple births and breastfeeding at discharge); and baby's characteristics (baby's gender, admission temperature, apgar score at birth, type of assisted ventilation, exogenous surfactant, chronic lung disease, supplemental oxygen, air leak, retinopathy of prematurity, cerebral ultrasound and intraventricular haemorrhage, necrotising enterocolitis, neonatal surgery, neonatal sepsis, congenital anoamlies, transfer from level IIl NICUs to other nurseries and length of stay until discharge home). https://npesu.unsw.edu.au/data-collection/australian-new-zealand-neonatal-network-anznn
DOI: 10.6084/m9.figshare.22114943
title: Molecular timetrees using relaxed clocks and uncertain phylogenies

description: This directory contains data analyzed in Barba-Montoya et al. 2023. Molecular timetrees using relaxed clocks and uncertain phylogenies. Frontiers in Bioinformatics.
DOI: 10.6084/m9.figshare.22114943.v1
title: Molecular timetrees using relaxed clocks and uncertain phylogenies

description: This directory contains data analyzed in Barba-Montoya et al. 2023. Molecular timetrees using relaxed clocks and uncertain phylogenies. Frontiers in Bioinformatics.
DOI: 10.25345/c5n29ph4f
title: MassIVE MSV000092405 - huangqin-neg GNPS It should be noted that the datasets that have the most information associated with them are also the datasets that are the most visible to the community
title: enter relevant metadata. To minimize the burden of making datasets for GNPS analysis and to enable as much flexibility in what additional information the user wants to make available, very few metadata fields are absolutely required, although the user is encouraged to provide as much metadata as possible. It should be noted that the datasets that have the most information associated with them are also the datasets that are the most visible to the community. Fields for metadata relevant to the dataset being submitted are listed in Table 3. The first three fields
DOI: 10.6084/m9.figshare.23664915
title: Cartas de impacto de Unidades Educativas, Santo Domingo, Ecuador.

description: Cartas de impacto de la investigación MODELOS PEDAGÓGICOS.
DOI: 10.6084/m9.figshare.23664915.v2
title: Cartas de impacto de Unidades Educativas, Santo Domingo, Ecuador.

description: Cartas de impacto de la investigación MODELOS PEDAGÓGICOS.
DOI: 10.6084/m9.figshare.23664849
title: Response status.txt

description: The clinical information of esophageal cancer patients treated with afatinib.
DOI: 10.6084/m9.figshare.23664849.v1
title: Response status.txt

description: The clinical information of esophageal cancer patients treated with afatinib.
DOI: 10.6084/m9.figshare.23664765
title: RNA data.count

description: RNA- sequencing data of esophageal cancer patients treated with afatinib.
DOI: 10.5439/1988714
title: 10srlprofasr1ferr (c0)

description: 10srlprofasr1ferr
DOI: 10.5439/1988715
title: rlprofmerge1turn (c0)

description: rlprofmerge1turn
DOI: 10.5439/1988716
title: 2rlprofdep1turn (c0)

description: 2rlprofdep1turn
DOI: 10.5439/1988717
title: 10rlprofasr1ferr (c0)

description: 10rlprofasr1ferr
DOI: 10.5439/1988718
title: 1rlprofasr1ferr (c0)

description: 1rlprofasr1ferr
DOI: 10.5439/1988719
title: 2rlprofasr1ferr (c0)

description: 2rlprofasr1ferr
DOI: 10.5439/1988720
title: 10rlprofmr1turn (c0)

description: 10rlprofmr1turn
DOI: 10.5439/1988721
title: 1rlprofext1ferr (c0)

description: 1rlprofext1ferr
DOI: 10.5439/1988722
title: 10rlprofext1ferr (c0)

description: 10rlprofext1ferr
DOI: 10.5439/1988723
title: 10rlprofdep1turn (c0)

description: 10rlprofdep1turn
DOI: 10.6084/m9.figshare.23664954
title: QTL-MAS-2012.TBV.txt

description: The ture breeding values of all individuals.
DOI: 10.6084/m9.figshare.23621046
title: Eggs of Alive.zip

description: There is only one type of target in the dataset, living <em>Pomacea canaliculata</em> eggs. The dataset contains a total of 10,592 images. And, if you would like to use this dataset, please contact the authors.
DOI: 10.6084/m9.figshare.21939647
title: NZTD - Functional trait databse

description: Macrobenthic functional trait database
DOI: 10.6084/m9.figshare.21939647.v1
title: NZTD - Functional trait databse

description: Macrobenthic functional trait database
DOI: 10.6084/m9.figshare.21939671.v1
title: Full references list

description: Full list of the references used for retriving trait information
DOI: 10.57841/casdc.0001604
title: 西南喀斯特亚热带喀斯特常绿落叶阔叶混交林物种组成数据集（2014年）
DOI: 10.57841/casdc.0001605
title: 西南三省8km空间分辨率归一化植被指数数据集（1982-2016）
DOI: 10.57841/casdc.0001606
title: 广西环江喀斯特野外台站风速数据集（2006-2020年）
DOI: 10.57841/casdc.0001607
title: 广西环江喀斯特野外台站气温数据集（2006-2020年）
DOI: 10.57841/casdc.0001608
title: 广西环江喀斯特野外台站地温数据集（2006-2020年）
DOI: 10.57841/casdc.0001609
title: 广西环江喀斯特野外台站土壤特征数据集（2006-2020年）
DOI: 10.57841/casdc.0001610
title: 广西环江喀斯特野外台站气象观测日记数据集（2006-2020年）
DOI: 10.57841/casdc.0001611
title: 广西环江喀斯特野外台站降水数据集（2006-2020年）
DOI: 10.6084/m9.figshare.23665089
title: Additional file 4 of Exploring Co-occurrence patterns and microbial diversity in the lung microbiome of patients with non-small cell lung cancer

description: Additional file 4. Characteristics of co-occurrence networks at phylum and genus levels.
DOI: 10.6084/m9.figshare.23665089.v1
title: Additional file 4 of Exploring Co-occurrence patterns and microbial diversity in the lung microbiome of patients with non-small cell lung cancer

description: Additional file 4. Characteristics of co-occurrence networks at phylum and genus levels.
DOI: 10.15156/bio/sh1460225.08fu
title: SH1460225.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1460226.08fu
title: SH1460226.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1608821.08fu
title: SH1608821.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1608822.08fu
title: SH1608822.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.