cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.400097
title: Chlorophyll a of sediment core PS2754-5
DOI: 10.1594/pangaea.400661
title: Meiofauna abundance and biomass of sediment core GIK16849-2
DOI: 10.1594/pangaea.400098
title: Chlorophyll a of sediment core PS2755-3
DOI: 10.1594/pangaea.400662
title: Meiofauna abundance and biomass of sediment core GIK16850-1
DOI: 10.1594/pangaea.400099
title: Chlorophyll a of sediment core PS2756-5
DOI: 10.1594/pangaea.400663
title: Meiofauna abundance and biomass of sediment core GIK16851-1
DOI: 10.1594/pangaea.400100
title: Chlorophyll a of sediment core PS2757-4
DOI: 10.1594/pangaea.400664
title: Meiofauna abundance and biomass of sediment core GIK16852-1
DOI: 10.1594/pangaea.400101
title: Chlorophyll a of sediment core PS2759-6
DOI: 10.1594/pangaea.400102
title: Chlorophyll a of sediment core PS2761-4
DOI: 10.1594/pangaea.400103
title: Chlorophyll a of sediment core PS2762-3
DOI: 10.1594/pangaea.400104
title: Chlorophyll a of sediment core PS2763-4
DOI: 10.1594/pangaea.400105
title: Chlorophyll a of sediment core PS2764-4
DOI: 10.1594/pangaea.400106
title: Chlorophyll a of sediment core PS2765-3
DOI: 10.1594/pangaea.400107
title: Chlorophyll a of sediment core PS2766-4
DOI: 10.1594/pangaea.400108
title: Chlorophyll a of sediment core PS2769-4
DOI: 10.1594/pangaea.400109
title: Chlorophyll a of sediment core PS2770-3
DOI: 10.1594/pangaea.400110
title: Chlorophyll a of sediment core PS2773-4
DOI: 10.1594/pangaea.400111
title: Chlorophyll a of sediment core PS2776-4
DOI: 10.1594/pangaea.400665
title: Meiofauna abundance and biomass of sediment core GIK16853-2
DOI: 10.1594/pangaea.400112
title: Chlorophyll a of sediment core PS2780-4
DOI: 10.1594/pangaea.400113
title: Chlorophyll a of sediment core PS2783-2
DOI: 10.1594/pangaea.400666
title: Meiofauna abundance and biomass of sediment core GIK16854-1
DOI: 10.1594/pangaea.400667
title: Meiofauna abundance and biomass of sediment core GIK16856-1
DOI: 10.1594/pangaea.400114
title: Chlorophyll a of sediment core PS2785-3
DOI: 10.1594/pangaea.400668
title: Meiofauna abundance and biomass of sediment core GIK16857-1
DOI: 10.1594/pangaea.400115
title: Chlorophyll pigment equivalents of sediment core PS2718-5
DOI: 10.1594/pangaea.400669
title: Meiofauna abundance and biomass of sediment core GIK16859-2
DOI: 10.1594/pangaea.400670
title: Meiofauna abundance and biomass of sediment core GIK16860-1
DOI: 10.1594/pangaea.400116
title: Chlorophyll pigment equivalents of sediment core PS2720-4
DOI: 10.1594/pangaea.400117
title: Chlorophyll pigment equivalents of sediment core PS2721-3
DOI: 10.1594/pangaea.400118
title: Chlorophyll pigment equivalents of sediment core PS2724-6
DOI: 10.1594/pangaea.400119
title: Chlorophyll pigment equivalents of sediment core PS2726-3
DOI: 10.1594/pangaea.400671
title: Meiofauna abundance and biomass of sediment core GIK16861-1
DOI: 10.1594/pangaea.400120
title: Chlorophyll pigment equivalents of sediment core PS2727-4
DOI: 10.1594/pangaea.400672
title: Meiofauna abundance and biomass of sediment core GIK16862-1
DOI: 10.1594/pangaea.400121
title: Chlorophyll pigment equivalents of sediment core PS2729-4
DOI: 10.1594/pangaea.400122
title: Chlorophyll pigment equivalents of sediment core PS2731-4
DOI: 10.1594/pangaea.400123
title: Chlorophyll pigment equivalents of sediment core PS2733-4
DOI: 10.1594/pangaea.400124
title: Chlorophyll pigment equivalents of sediment core PS2735-6
DOI: 10.1594/pangaea.400125
title: Chlorophyll pigment equivalents of sediment core PS2736-2
DOI: 10.1594/pangaea.400126
title: Chlorophyll pigment equivalents of sediment core PS2737-3
DOI: 10.1594/pangaea.400127
title: Chlorophyll pigment equivalents of sediment core PS2739-2
DOI: 10.1594/pangaea.400128
title: Chlorophyll pigment equivalents of sediment core PS2740-5
DOI: 10.1594/pangaea.400673
title: Meiofauna abundance and biomass of sediment core GIK16863-2
DOI: 10.1594/pangaea.400129
title: Chlorophyll pigment equivalents of sediment core PS2743-4
DOI: 10.1594/pangaea.400130
title: Chlorophyll pigment equivalents of sediment core PS2745-4
DOI: 10.1594/pangaea.400131
title: Chlorophyll pigment equivalents of sediment core PS2747-5
DOI: 10.1594/pangaea.400132
title: Chlorophyll pigment equivalents of sediment core PS2748-5
DOI: 10.1594/pangaea.400133
title: Chlorophyll pigment equivalents of sediment core PS2749-7
DOI: 10.1594/pangaea.400134
title: Chlorophyll pigment equivalents of sediment core PS2750-4
DOI: 10.1594/pangaea.400135
title: Chlorophyll pigment equivalents of sediment core PS2752-4
DOI: 10.1594/pangaea.400136
title: Chlorophyll pigment equivalents of sediment core PS2754-5
DOI: 10.1594/pangaea.400137
title: Chlorophyll pigment equivalents of sediment core PS2755-3
DOI: 10.1594/pangaea.400138
title: Chlorophyll pigment equivalents of sediment core PS2756-5
DOI: 10.1594/pangaea.400674
title: Meiofauna abundance and biomass of sediment core GIK16864-1
DOI: 10.1594/pangaea.400139
title: Chlorophyll pigment equivalents of sediment core PS2757-4
DOI: 10.1594/pangaea.400675
title: Meiofauna abundance and biomass of sediment core GIK16865-1
DOI: 10.1594/pangaea.400140
title: Chlorophyll pigment equivalents of sediment core PS2759-6
DOI: 10.1594/pangaea.400141
title: Chlorophyll pigment equivalents of sediment core PS2761-4
DOI: 10.1594/pangaea.400142
title: Chlorophyll pigment equivalents of sediment core PS2762-3
DOI: 10.1594/pangaea.400676
title: Meiofauna abundance and biomass of sediment core GIK16872-1
DOI: 10.1594/pangaea.400143
title: Chlorophyll pigment equivalents of sediment core PS2763-4
DOI: 10.1594/pangaea.400677
title: Meiofauna abundance and biomass of sediment core GIK16873-1
DOI: 10.1594/pangaea.400678
title: Meiofauna abundance and biomass of sediment core GIK16874-2
DOI: 10.1594/pangaea.400144
title: Chlorophyll pigment equivalents of sediment core PS2764-4
DOI: 10.1594/pangaea.400679
title: Meiofauna abundance and biomass of sediment core GIK16875-1
DOI: 10.1594/pangaea.400145
title: Chlorophyll pigment equivalents of sediment core PS2765-3
DOI: 10.1594/pangaea.400146
title: Chlorophyll pigment equivalents of sediment core PS2766-4
DOI: 10.1594/pangaea.400680
title: Meiofauna abundance and biomass of sediment core GIK16876-1
DOI: 10.1594/pangaea.400681
title: Meiofauna abundance and biomass of sediment core GIK16878-2
DOI: 10.1594/pangaea.400682
title: Meiofauna abundance and biomass of sediment core GIK16879-1
DOI: 10.1594/pangaea.400147
title: Chlorophyll pigment equivalents of sediment core PS2769-4
DOI: 10.1594/pangaea.400683
title: Meiofauna abundance and biomass of sediment core GIK16880-1
DOI: 10.1594/pangaea.400148
title: Chlorophyll pigment equivalents of sediment core PS2770-3
DOI: 10.1594/pangaea.400149
title: Chlorophyll pigment equivalents of sediment core PS2773-4
DOI: 10.1594/pangaea.400150
title: Chlorophyll pigment equivalents of sediment core PS2776-4
DOI: 10.1594/pangaea.400151
title: Chlorophyll pigment equivalents of sediment core PS2780-4
DOI: 10.1594/pangaea.400152
title: Chlorophyll pigment equivalents of sediment core PS2783-2
DOI: 10.1594/pangaea.400153
title: Chlorophyll pigment equivalents of sediment core PS2785-3
DOI: 10.1594/pangaea.400155
title: Beta-glucosidase activity of sediment core PS2718-5
DOI: 10.1594/pangaea.400156
title: Beta-glucosidase activity of sediment core PS2720-4
DOI: 10.1594/pangaea.400157
title: Beta-glucosidase activity of sediment core PS2721-3
DOI: 10.1594/pangaea.400158
title: Beta-glucosidase activity of sediment core PS2724-6
DOI: 10.1594/pangaea.400159
title: Beta-glucosidase activity of sediment core PS2726-3
DOI: 10.1594/pangaea.400160
title: Beta-glucosidase activity of sediment core PS2727-4
DOI: 10.1594/pangaea.400161
title: Beta-glucosidase activity of sediment core PS2729-4
DOI: 10.1594/pangaea.400162
title: Beta-glucosidase activity of sediment core PS2731-4
DOI: 10.1594/pangaea.400163
title: Beta-glucosidase activity of sediment core PS2733-4
DOI: 10.1594/pangaea.400164
title: Beta-glucosidase activity of sediment core PS2735-6
DOI: 10.1594/pangaea.400165
title: Beta-glucosidase activity of sediment core PS2736-2
DOI: 10.1594/pangaea.400166
title: Beta-glucosidase activity of sediment core PS2737-3
DOI: 10.1594/pangaea.400167
title: Beta-glucosidase activity of sediment core PS2739-2
DOI: 10.1594/pangaea.484705
title: Color measurements on sediment core PS2082-1
DOI: 10.1594/pangaea.407547
title: Size fraction analysis of sediment core PS1196-1 off Filchner Shelf Ice, southern Weddell Sea
DOI: 10.1594/pangaea.407548
title: Size fraction analysis of sediment core PS1197-1 off Filchner Shelf Ice, southern Weddell Sea
DOI: 10.1594/pangaea.484825
title: Color measurements on sediment core GeoB1211-3

description: Core measured november 2000, sections partly had lost a major part of initial water content (esp. carbonate rich layers)
DOI: 10.1594/pangaea.484826
title: Color measurements on sediment core GeoB1214-1

description: Core measured november 2000, some sections had lost a major part of initial water content (esp. carbonate rich layers)
DOI: 10.1594/pangaea.484827
title: Color measurements on sediment core GeoB1710-3

description: Core measured november 2000, condition of sections was good
DOI: 10.1594/pangaea.484829
title: Color measurements on sediment core PS1730-2
DOI: 10.1594/pangaea.484830
title: Color measurements on sediment core PS1927-2
DOI: 10.1594/pangaea.484831
title: Color measurements on sediment core PS1951-1
DOI: 10.1594/pangaea.484832
title: Color measurements on sediment core PS2212-3
DOI: 10.1594/pangaea.484833
title: Color measurements on sediment core PS2644-5
DOI: 10.1594/pangaea.407219
title: Silt fractions of sediment core PS1198-1
DOI: 10.1594/pangaea.407221
title: Silt fractions of sediment core PS1199-2
DOI: 10.1594/pangaea.407222
title: Silt fractions of sediment core PS1200-2
DOI: 10.1594/pangaea.407230
title: Silt fractions of sediment core PS1210-2
DOI: 10.1594/pangaea.407241
title: Silt fractions of sediment core PS1397-1
DOI: 10.1594/pangaea.407250
title: Silt fractions of sediment core PS1397-3
DOI: 10.1594/pangaea.407259
title: Silt fractions of sediment core PS1398-1
DOI: 10.1594/pangaea.407260
title: Silt fractions of sediment core PS1398-2
DOI: 10.1594/pangaea.407261
title: Silt fractions of sediment core PS1399-1
DOI: 10.1594/pangaea.407262
title: Silt fractions of sediment core PS1424-1
DOI: 10.15468/dl.4eh5gy
title: Occurrence Download

description: A dataset containing 32029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asphodelus albus Mill.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32029 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094189-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28904204
title: gravity observations data.grd

description: Deep tectonics is an important factor controlling the stability of the crust, including gravity anomalies, deep faults, and crustal structures. The regional Bouguer gravity anomaly is caused by the difference in underground rock density, geological structure properties, and morphological changes, and it is the response to the comprehensive factors of underground materials.
DOI: 10.15468/dl.fjbj8h
title: Occurrence Download

description: A dataset containing 2253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Andrena chrysosceles (Kirby, 1802)"
 ]
}

 The dataset includes 2253 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008239-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.28903757
title: Butterfly habitat association traits

description: These data are from a thesis chapter to be submitted for publication. They are habitat association traits of all British resident butterfly species. In context, they are used to analyse the relationships between the butterflies that are found in urban areas. The chapter itself uses these data for further analysis to produce a more accurate suite of urban associated butterflies, but these data are the baseline. These traits are extracted from the following books:Asher, J. <i>et al.</i> (2001) <i>The Millennium Atlas of Butterflies in Britain and Ireland</i>. Oxford: Oxford University Press.Fox, R. <i>et al.</i> (2006) <i>The state of butterflies in Britain and Ireland</i>. NatureBureau.Newland, D. <i>et al.</i> (2020) <i>Britain’s Butterflies</i>. Fourth. Oxford: Princeton University Press.Thomas, J. and Lewington, R. (2016) <i>The Butterflies of Britain and Ireland</i>. Revised Ed. London: Bloomsbury.Oates, M. (2020) <i>His Imperial Majesty: A natural history of the Purple Emperor</i>. London: Bloomsbury Wildlife.
DOI: 10.21954/ou.rd.28903757.v1
title: Butterfly habitat association traits

description: These data are from a thesis chapter to be submitted for publication. They are habitat association traits of all British resident butterfly species. In context, they are used to analyse the relationships between the butterflies that are found in urban areas. The chapter itself uses these data for further analysis to produce a more accurate suite of urban associated butterflies, but these data are the baseline. These traits are extracted from the following books:Asher, J. <i>et al.</i> (2001) <i>The Millennium Atlas of Butterflies in Britain and Ireland</i>. Oxford: Oxford University Press.Fox, R. <i>et al.</i> (2006) <i>The state of butterflies in Britain and Ireland</i>. NatureBureau.Newland, D. <i>et al.</i> (2020) <i>Britain’s Butterflies</i>. Fourth. Oxford: Princeton University Press.Thomas, J. and Lewington, R. (2016) <i>The Butterflies of Britain and Ireland</i>. Revised Ed. London: Bloomsbury.Oates, M. (2020) <i>His Imperial Majesty: A natural history of the Purple Emperor</i>. London: Bloomsbury Wildlife.
DOI: 10.15468/dl.r6hxuh
title: Occurrence Download

description: A dataset containing 10793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "TaxonKey is Cytisus scoparius (L.) Link"
 ]
}

 The dataset includes 10793 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008240-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14866057
title: Patient visits to the Emergency Department of an Acute Hospital; dataset to accompany the patientflow repository

description: These datasets have been provided by University College London Hospitals (UCLH) NHS Trust, to support PatientFlow, a Github repository containing code and explanatory notebooks for predicting short-term hospital bed capacity using real-time data, which can be found here: https://github.com/zmek/patientflow. 

The PatientFlow repo is designed to support hospital bed management through predictive modelling. The repository shows methods for forecasting short-term bed capacity, a crucial aspect of hospital operations that impacts patient care and resource allocation.

UCLH have agreed to release the data to demonstrate to researchers, analysts, hospitals managers and others how this predictive modelling can be done, and to inform and educate anyone who wishes to adopt a similar approach.

The inpatient_arrivals dataset contains arrival times of all patients who visited the UCLH Emergency Department (ED) and/or the Same Day Emergency Care (SDEC) unit, over the period of the data, and were later admitted to a ward. It includes



the specialty they were admitted to (grouped into one of four categories: medical, surgical, haematology/oncology, paediatric)

their sex M = male; F = female

whether adult or child (boolean)


The ed_visits datasets contains snapshots of visits by all patients who visited the ED and/or SDEC over the period of the data, including those who were later admitted to a ward and those who were discharged. It includes various columns, including



visit_number: to identify unique visits

snapshot_date: the date on which the snapshot of the visit as taken was taken

prediction_time: the time of day at which the snapshot of the visit as taken

is_admitted: whether the patient was admitted at the end of the visit

elapsed_los: elapsed length of stay in seconds

demographic information

locations visited in the ED or SDEC

observations

lab orders

lab results

consult requests (referals to inpatient specialty), as a sequence of requests

specialty of admission


Dates have been shifted into the future by a whole number of weeks. Detailed data dictionaries are available here. Notebooks explaining the data structure and explaining its rationale are available in this folder.

We are grateful to University College London Hospitals (UCLH) NHS Trust and its Caldicott Guardian for agreeing to release an anomymised dataset based on real patient data, and for the scrunity of our anonymisation process undertaken by the Information Governance team at UCLH.
DOI: 10.5281/zenodo.15298201
title: Patient visits to the Emergency Department of an Acute Hospital; dataset to accompany the patientflow repository

description: These datasets have been provided by University College London Hospitals (UCLH) NHS Trust, to support PatientFlow, a Github repository containing code and explanatory notebooks for predicting short-term hospital bed capacity using real-time data, which can be found here: https://github.com/zmek/patientflow. 

The PatientFlow repo is designed to support hospital bed management through predictive modelling. The repository shows methods for forecasting short-term bed capacity, a crucial aspect of hospital operations that impacts patient care and resource allocation.

UCLH have agreed to release the data to demonstrate to researchers, analysts, hospitals managers and others how this predictive modelling can be done, and to inform and educate anyone who wishes to adopt a similar approach.

The inpatient_arrivals dataset contains arrival times of all patients who visited the UCLH Emergency Department (ED) and/or the Same Day Emergency Care (SDEC) unit, over the period of the data, and were later admitted to a ward. It includes



the specialty they were admitted to (grouped into one of four categories: medical, surgical, haematology/oncology, paediatric)

their sex M = male; F = female

whether adult or child (boolean)


The ed_visits datasets contains snapshots of visits by all patients who visited the ED and/or SDEC over the period of the data, including those who were later admitted to a ward and those who were discharged. It includes various columns, including



visit_number: to identify unique visits

snapshot_date: the date on which the snapshot of the visit as taken was taken

prediction_time: the time of day at which the snapshot of the visit as taken

is_admitted: whether the patient was admitted at the end of the visit

elapsed_los: elapsed length of stay in seconds

demographic information

locations visited in the ED or SDEC

observations

lab orders

lab results

consult requests (referals to inpatient specialty), as a sequence of requests

specialty of admission


Dates have been shifted into the future by a whole number of weeks. Detailed data dictionaries are available here. Notebooks explaining the data structure and explaining its rationale are available in this folder.

We are grateful to University College London Hospitals (UCLH) NHS Trust and its Caldicott Guardian for agreeing to release an anomymised dataset based on real patient data, and for the scrunity of our anonymisation process undertaken by the Information Governance team at UCLH.
DOI: 10.5281/zenodo.14866056
title: Patient visits to the Emergency Department of an Acute Hospital; dataset to accompany the patientflow repository

description: These datasets have been provided by University College London Hospitals (UCLH) NHS Trust, to support PatientFlow, a Github repository containing code and explanatory notebooks for predicting short-term hospital bed capacity using real-time data, which can be found here: https://github.com/zmek/patientflow. 

The PatientFlow repo is designed to support hospital bed management through predictive modelling. The repository shows methods for forecasting short-term bed capacity, a crucial aspect of hospital operations that impacts patient care and resource allocation.

UCLH have agreed to release the data to demonstrate to researchers, analysts, hospitals managers and others how this predictive modelling can be done, and to inform and educate anyone who wishes to adopt a similar approach.

The inpatient_arrivals dataset contains arrival times of all patients who visited the UCLH Emergency Department (ED) and/or the Same Day Emergency Care (SDEC) unit, over the period of the data, and were later admitted to a ward. It includes



the specialty they were admitted to (grouped into one of four categories: medical, surgical, haematology/oncology, paediatric)

their sex M = male; F = female

whether adult or child (boolean)


The ed_visits datasets contains snapshots of visits by all patients who visited the ED and/or SDEC over the period of the data, including those who were later admitted to a ward and those who were discharged. It includes various columns, including



visit_number: to identify unique visits

snapshot_date: the date on which the snapshot of the visit as taken was taken

prediction_time: the time of day at which the snapshot of the visit as taken

is_admitted: whether the patient was admitted at the end of the visit

elapsed_los: elapsed length of stay in seconds

demographic information

locations visited in the ED or SDEC

observations

lab orders

lab results

consult requests (referals to inpatient specialty), as a sequence of requests

specialty of admission


Dates have been shifted into the future by a whole number of weeks. Detailed data dictionaries are available here. Notebooks explaining the data structure and explaining its rationale are available in this folder.

We are grateful to University College London Hospitals (UCLH) NHS Trust and its Caldicott Guardian for agreeing to release an anomymised dataset based on real patient data, and for the scrunity of our anonymisation process undertaken by the Information Governance team at UCLH.