cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23295549.v1
title: Prevalence of hypertensive disorders of pregnancy at or beyond 39 weeks gestational age and associated maternal complications

description: Estimate the prevalence of hypertensive disorder of pregnancy (HDP) at term, define population characteristics, and calculate adverse maternal outcomes. Retrospective study. We included 4,702,468 pregnancies. HDP increased linearly from 4.5% (2014) to 6.0% (2018). HDP was more frequent among black (PR 1.19), obese (PR 2.31 to 3.70), with gestational (PR 1.87) or pregestational diabetes (PR 2.16). Increased transfusion (PR 2.52), intensive care unit admission (PR 3.38), and unplanned hysterectomy (PR 1.78) with HDP. Our study quantifies the increased risks for maternal and neonatal complications related to the development of HDP at or beyond 39 weeks among nulliparous women.
DOI: 10.6084/m9.figshare.23295549
title: Prevalence of hypertensive disorders of pregnancy at or beyond 39 weeks gestational age and associated maternal complications

description: Estimate the prevalence of hypertensive disorder of pregnancy (HDP) at term, define population characteristics, and calculate adverse maternal outcomes. Retrospective study. We included 4,702,468 pregnancies. HDP increased linearly from 4.5% (2014) to 6.0% (2018). HDP was more frequent among black (PR 1.19), obese (PR 2.31 to 3.70), with gestational (PR 1.87) or pregestational diabetes (PR 2.16). Increased transfusion (PR 2.52), intensive care unit admission (PR 3.38), and unplanned hysterectomy (PR 1.78) with HDP.  Our study quantifies the increased risks for maternal and neonatal complications related to the development of HDP at or beyond 39 weeks among nulliparous women.
DOI: 10.5281/zenodo.10047738
title: High resolution wind speed measurements with multicopters of the SWUF-3D UAS fleet - calibration and verification in a wind tunnel with active grid

description: This dataset contains aggregated measurements from multicopter UAS. The data were measured during the period from October 5, 2022 to October 12, 2022 in the ForWind wind tunnel at the University of Oldenburg with UAS of the SWUF-3D fleet against Constant Temperature Anemometer (CTA). 
Recorded data are provided for measurement flights in different generated wind profiles, i.e. staircase profiles, gusts, velocity steps and statistical turbulence. The measurement data consist of the accelerations measured by the UAS in its longitudinal and lateral axes, as well as the wind speeds measured by the CTA. The latter data were sampled down to the sampling rate of the UAS wind measurement. For the measurements in statistical turbulence, additional files are provided which contain the wind speeds measured by the CTA in its original sampling rate. Each file contains the data for a single measurement flight, as well as information in the header about the ambient conditions in the wind tunnel. The file names contain the following metadata:
for "gust" files:

V0 :                     inertial velocity [m/s]
V_g :                   gust velocity amplitude [m/s]
for "staircase" files:

uas :                the ID of the UAS used [-]
heading :       yaw angle of UAS in relation to longitudinal axes of wind tunnel
for "turbulence" files:

V0 :                fan wind speed [m/s]
I :                    turbulence intensity [%]
f_cta :             sampling frequency of reference sensor [Hz] (for files with original sampling rate)
for "velocity step" files:

V0 :                 lower wind speed
V_du :            wind speed aimed for of upward and downward velocity step
All filenames end with the test date in YYYY-MM-DD format.
DOI: 10.5281/zenodo.10047739
title: High resolution wind speed measurements with multicopters of the SWUF-3D UAS fleet - calibration and verification in a wind tunnel with active grid

description: This dataset contains aggregated measurements from multicopter UAS. The data were measured during the period from October 5, 2022 to October 12, 2022 in the ForWind wind tunnel at the University of Oldenburg with UAS of the SWUF-3D fleet against Constant Temperature Anemometer (CTA). 
Recorded data are provided for measurement flights in different generated wind profiles, i.e. staircase profiles, gusts, velocity steps and statistical turbulence. The measurement data consist of the accelerations measured by the UAS in its longitudinal and lateral axes, as well as the wind speeds measured by the CTA. The latter data were sampled down to the sampling rate of the UAS wind measurement. For the measurements in statistical turbulence, additional files are provided which contain the wind speeds measured by the CTA in its original sampling rate. Each file contains the data for a single measurement flight, as well as information in the header about the ambient conditions in the wind tunnel. The file names contain the following metadata:
for "gust" files:

V0 :                     inertial velocity [m/s]
V_g :                   gust velocity amplitude [m/s]
for "staircase" files:

uas :                the ID of the UAS used [-]
heading :       yaw angle of UAS in relation to longitudinal axes of wind tunnel
for "turbulence" files:

V0 :                fan wind speed [m/s]
I :                    turbulence intensity [%]
f_cta :             sampling frequency of reference sensor [Hz] (for files with original sampling rate)
for "velocity step" files:

V0 :                 lower wind speed
V_du :            wind speed aimed for of upward and downward velocity step
All filenames end with the test date in YYYY-MM-DD format.
DOI: 10.6084/m9.figshare.22808905
title: Association between ABO blood groups and preeclampsia

description: To determine the association between the ABO blood group and preeclampsia. This is a case-control study that included patients with (<i>n</i> = 253) and without (<i>n</i> = 457) preeclampsia/eclampsia in Northeastern Mexico. Data were obtained from electronic medical records. Binary multiple logistic regression analysis was used for analyzing the association between the ABO blood group and preeclampsia according to parity status while adjusting for potential confounders. Blood groups A, B, and AB showed adjusted odds ratios of 0.6 (95%CI 0.3-1.0), 1.1 (95%CI 0.6-2.2), and 0.3 (95%CI 0.1-1.1) in multiparous women, respectively. No association was found in nulliparous women either. ABO blood groups were not associated with preeclampsia in Mexican women.
DOI: 10.21335/nmdc-252542193
title: Marine CO2 and inorganic nutrients: Svinøy NV section 2022

description: Marine CO2 system data (total alkalinity, and total dissolved inorganic carbon) were collected from full water column on the IMR repeat Svinøy-NW section in the Norwegian Sea. Sampling were performed on two cruises onboard RV Johan Hjort; in January (cruise# 2022203) and in June (cruise# 2022207). This study is a contribution to the project Monitoring ocean acidification in Norwegian waters/Havforsuringsovervåking i norske farvann” funded by the Norwegian Environment Agency (Miljødirektoratet) project# 17078007.
DOI: 10.5517/ccdc.csd.cc2dn0qt
title: CCDC 2223776: Experimental Crystal Structure Determination

description: Related Article: Balakrishna Peddi, Souvik Khan, Rajesh G. Gonnade, Cem B. Yildiz, Moumita Majumdar|2023|Chemical Science|14|13755|doi:10.1039/D3SC03717G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dn0rv
title: CCDC 2223777: Experimental Crystal Structure Determination

description: Related Article: Balakrishna Peddi, Souvik Khan, Rajesh G. Gonnade, Cem B. Yildiz, Moumita Majumdar|2023|Chemical Science|14|13755|doi:10.1039/D3SC03717G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dn0vy
title: CCDC 2223780: Experimental Crystal Structure Determination

description: Related Article: Balakrishna Peddi, Souvik Khan, Rajesh G. Gonnade, Cem B. Yildiz, Moumita Majumdar|2023|Chemical Science|14|13755|doi:10.1039/D3SC03717G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dn0wz
title: CCDC 2223781: Experimental Crystal Structure Determination

description: Related Article: Balakrishna Peddi, Souvik Khan, Rajesh G. Gonnade, Cem B. Yildiz, Moumita Majumdar|2023|Chemical Science|14|13755|doi:10.1039/D3SC03717G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dn0x0
title: CCDC 2223782: Experimental Crystal Structure Determination

description: Related Article: Balakrishna Peddi, Souvik Khan, Rajesh G. Gonnade, Cem B. Yildiz, Moumita Majumdar|2023|Chemical Science|14|13755|doi:10.1039/D3SC03717G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dn0z2
title: CCDC 2223784: Experimental Crystal Structure Determination

description: Related Article: Balakrishna Peddi, Souvik Khan, Rajesh G. Gonnade, Cem B. Yildiz, Moumita Majumdar|2023|Chemical Science|14|13755|doi:10.1039/D3SC03717G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fr0w3
title: CCDC 2256455: Experimental Crystal Structure Determination

description: Related Article: Balakrishna Peddi, Souvik Khan, Rajesh G. Gonnade, Cem B. Yildiz, Moumita Majumdar|2023|Chemical Science|14|13755|doi:10.1039/D3SC03717G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gjhfy
title: CCDC 2279970: Experimental Crystal Structure Determination

description: Related Article: Dongping Pan, Fu-Xiaomin Liu, Zhongyi Zeng, Junwei Ye, Ying Cai, Shengdong Wang, Zhi Zhou, Wei Yi|2023|Green Chemistry|25|10630|doi:10.1039/D3GC03203E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21335/nmdc-1512257638
title: Marine CO2 and inorganic nutrients: Utsira west section 2022

description: Marine CO2 system data (total alkalinity, total dissolved inorganic carbon) were collected from the full water column on the IMR repeat section Utsira west in the North Sea. Sampling was performed on cruise onboard RV Johan Hjort in January 2022 (cruise 2022202). This study is a contribution to the project 'Monitoring ocean acidification in Norwegian waters/Havforsuringsovervåking i norske farvann' funded by the Norwegian Environment Agency (Miljødirektoratet) project #17078007.
DOI: 10.5281/zenodo.10158716
title: Acoustics, Audibility and Political Culture in the House of Commons, 1800-34

description: This dataset includes the auralization results obtained from the acoustic models of the House of Commons in 1800-34, as part of the research with the homonymous paper submitted in the special issue "Parliamentary History Journal" (first submission September 2023). 
The auralization results represent the perceived result from the acoustic models for the two discussed scenarios (full-occupied and half-full-occupied House of Commons). We present the results from 3 different speakers at 5 listening positions as shown in the images. 
The anechoic sample is an excerpt of Henry Beaufoy's speech to the House of Commons in 1792 on the subject of the slave trade, performed by John Cooper (co-author) in the anechoic chamber at the Audiolab, University of York. The perceived differences and similarities of the recorded/simulated spaces as heard in these audio files help to further verify the results of the acoustic parameters presented in this paper.
DOI: 10.5281/zenodo.10158715
title: Acoustics, Audibility and Political Culture in the House of Commons, 1800-34

description: This dataset includes the auralization results obtained from the acoustic models of the House of Commons in 1800-34, as part of the research with the homonymous paper submitted in the special issue "Parliamentary History Journal" (first submission September 2023). 
The auralization results represent the perceived result from the acoustic models for the two discussed scenarios (full-occupied and half-full-occupied House of Commons). We present the results from 3 different speakers at 5 listening positions as shown in the images. 
The anechoic sample is an excerpt of Henry Beaufoy's speech to the House of Commons in 1792 on the subject of the slave trade, performed by John Cooper (co-author) in the anechoic chamber at the Audiolab, University of York. The perceived differences and similarities of the recorded/simulated spaces as heard in these audio files help to further verify the results of the acoustic parameters presented in this paper.
DOI: 10.5281/zenodo.10370050
title: Dataset for "Computational prediction of structure, function and interaction of Myzus persicae (green peach aphid) salivary effector proteins "
DOI: 10.5281/zenodo.10370213
title: Tigray War: photographic dataset recorded in the aftermath of the December 2020 battles and drone attacks in Werkamba

description: The Tigray war (Ethiopia) lasted from 4 November 2020 to 2 November 2022, when a Cessation of Hostilities Agreement (CoHA) came into existence. One year later, the CoHA is not fully implemented, there are enormous food shortages in Werkamba, but at least there is no more active warfare.
We can now publish a series of photographs taken at Werkamba (13°44'N, 39°E) and its environs, as soon as the Ethiopian and Eritrean armies had left the town, to engage warfare with the TDF (Tigray Defence Forces) in other fronts. For some weeks there were no military in Werkamba, and the residents who had fled found their town back in ruins, including killed civilians lying on the street.
Hence we have to warn the reader that some shocking imagery is ahead in this dataset that contains evidence of the horror of warfare.
DOI: 10.5281/zenodo.10368913
title: Tigray War: photographic dataset recorded in the aftermath of the December 2020 battles and drone attacks in Werkamba

description: The Tigray war (Ethiopia) lasted from 4 November 2020 to 2 November 2022, when a Cessation of Hostilities Agreement (CoHA) came into existence. One year later, the CoHA is not fully implemented, there are enormous food shortages in Werkamba, but at least there is no more active warfare.
We can now publish a series of photographs taken at Werkamba (13°44'N, 39°E) and its environs, as soon as the Ethiopian and Eritrean armies had left the town, to engage warfare with the TDF (Tigray Defence Forces) in other fronts. For some weeks there were no military in Werkamba, and the residents who had fled found their town back in ruins, including killed civilians lying on the street.
Hence we have to warn the reader that some shocking imagery is ahead in this dataset that contains evidence of the horror of warfare.
DOI: 10.5281/zenodo.10368914
title: Tigray War: photographic dataset recorded in the aftermath of the December 2020 battles and drone attacks in Werkamba
DOI: 10.5281/zenodo.10368951
title: Tigray War: photographic dataset recorded in the aftermath of the December 2020 battles and drone attacks in Werkamba

description: The Tigray war (Ethiopia) lasted from 4 November 2020 to 2 November 2022, when a Cessation of Hostilities Agreement (CoHA) came into existence. One year later, the CoHA is not fully implemented, there are enormous food shortages in Werkamba, but at least there is no more active warfare.
We can now publish a series of photographs taken at Werkamba (13°44'N, 39°E) and its environs, as soon as the Ethiopian and Eritrean armies had left the town, to engage warfare with the TDF (Tigray Defence Forces) in other fronts. For some weeks there were no military in Werkamba, and the residents who had fled found their town back in ruins, including killed civilians lying on the street.
Hence we have to warn the reader that some shocking imagery is ahead in this dataset that contains evidence of the horror of warfare.
DOI: 10.5281/zenodo.10369747
title: Clinical and biochemical markers of the neurodegenerative process in Alzheimer's disease
DOI: 10.5281/zenodo.10369748
title: Clinical and biochemical markers of the neurodegenerative process in Alzheimer's disease
DOI: 10.21335/nmdc-687606791
title: Marine CO2 and inorganic nutrients: Vardø-N section 2022

description: Marine CO2 system data (total alkalinity, and total dissolved inorganic carbon) were collected from full water column on the IMR repeat Vardø-N section in the Barents Sea. Sampling were performed on cruise onboard RV Johan Hjort in October 2022 (cruise# 2022210).
DOI: 10.5281/zenodo.8407694
title: Dataset for "Computational prediction of structure, function and interaction of Myzus persicae (green peach aphid) salivary effector proteins "

description: Dataset for: Computational prediction of structure, function and interaction of aphid salivary effector proteins Thomas Waksman, Edmund Astin, Stuart Ronan Fisher, William Hunter, Jorunn IB Bos https://www.biorxiv.org/content/10.1101/2023.10.02.560451v1
DOI: 10.5281/zenodo.8407695
title: Dataset for "Computational prediction of structure, function and interaction of aphid salivary effector proteins"

description: Dataset for: Computational prediction of structure, function and interaction of aphid salivary effector proteins Thomas Waksman, Edmund Astin, Stuart Ronan Fisher, William Hunter, Jorunn IB Bos https://www.biorxiv.org/content/10.1101/2023.10.02.560451v1
DOI: 10.5281/zenodo.10250097
title: Marsh autumn phenology and climatic  impacts in the Tibetan Plateau

description: Vegetation autumn phenology (EOS) of marshes and its response to climate change in the Tibetan Plateau.
DOI: 10.5281/zenodo.10250092
title: Marsh autumn phenology and climatic impacts in the Tibetan Plateau

description: Vegetation autumn phenology (EOS) of marshes and its response to climate change in the Tibetan Plateau.
DOI: 10.5281/zenodo.10250093
title: Marsh autumn phenology and climatic  impacts in the Tibetan Plateau

description: Vegetation  autumn phenology (SOS) of marshes and its response to climatic (including maximum and minimum temperature) changes in the Tibetan Plateau.
DOI: 10.5281/zenodo.10258355
title: Marsh autumn phenology and climatic impacts in the Tibetan Plateau

description: Vegetation autumn phenology (EOS) of marshes and its response to climate change in the Tibetan Plateau.
DOI: 10.15124/74602a04-30c4-438f-8a17-f05fd45c160b
title: Dataset for Crossing the Solubility Rubicon: 15-Crown-5 Facilitates the Preparation of Water-Soluble Sulfo-NHS Esters in Organic Solvents

description: Data associated with paper.
DOI: 10.22008/fk2/lcnvvp/oqfctp
title: Havbundssediment.zip

description: :unav
DOI: 10.22008/fk2/lcnvvp/csi3qa
title: GEUS-webshop-betingelser-20180129.pdf

description: :unav
DOI: 10.22008/fk2/lcnvvp/hlhra9
title: ArcGis Pro.zip

description: :unav
DOI: 10.22008/fk2/lcnvvp/sf551l
title: GEUS-webshop-terms-20180129.pdf

description: :unav
DOI: 10.22008/fk2/lcnvvp
title: Havbundssedimentkort

description: Sedimentkortet, der er opdateret i 2020, viser fordelingen af havbundssedimenter i de danske farvande. Det er et geologisk kort, der hovedsageligt er baseret på seismiske og akustiske baggrundsdata kalibreret ud fra sedimentprøver. Der er en meget ujævn fordeling af data fra den danske havbund – nogle steder ligger data meget tæt, andre steder meget spredt. Tolkningerne er derfor baseret på interpolationer mellem datapunkterne, men den geologiske viden om dannelsesforholdene sammenholdt med præcise kort over dybdeforholdene har været anvendt til at tegne grænserne mellem sedimenttyperne. Endvidere har biologiske informationer (f.eks. udbredelsen af bundlevende alger, ålegræs og muslinger) været anvendt som supplement til de geologiske data, idet de giver indirekte indikationer om det substrat, der knytter sig til de enkelte arters tilstedeværelse. Klassifikationerne på kortet er et udtryk for et gennemsnit af havbundens sedimenter i de øverste halve meter. Denne opdaterede 2020-version af sedimentkortet består af den tidligere 2014-version, hvor nye kortlagte områder er erstattet med ny sedimentklassifikation. De nye klassifikationer stammer fra en lang række individuelle kortlægningsprojekter, der til forskel fra det tidligere generaliserede kort også kan være baseret på fulddækkende datasæt af sidescan sonar og/eller multibeam ekkolods data. For at tilgodese detaljeringsgraden i de nye data har vi besluttet at bibeholde deres oprindelige skala og opløsning. Sedimentkortet og de bagvedliggende klassifikationer er beskrevet i Geoviden 2014, nr. 2. Kortet kan downloades i dansk og engelsk version som en ArcGIS Pro mpkx-fil i dansk og som en pakke til brug i QGIS.
DOI: 10.22008/fk2/lcnvvp/tkzlzf
title: QGIS.zip

description: :unav
DOI: 10.6084/m9.figshare.24798789
title: <b>Foredune-forming grass and plant diversity show contrasting responses along the southeastern United States coast after hurricane disturbance</b>

description: This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, January 2019, and July 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma.