cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18167/dvn1/si026u
title: Data of on-farm assessment of cropping practices in a "one health" perspective, Winter wheat, France

description: Data measured in 44 farms covering a range of cropping practices, soil and production parameters under contrasted types of crop management: conventional and conservation agriculture. Eighty-six winter wheat fields located in Northwestern France were monitored for two growing seasons (2021/2022 and 2022/2023). The dataset encompasses data about cropping practices (tillage, soil cover, rotation, pesticides use, nutrition), soils (chemical, biological and physical parameters, including texture), and grain production (nutritional, technological and sanitary indicators).
DOI: 10.25318/3610043401-eng
title: Gross domestic product (GDP) at basic prices, by industry, monthly

description: Gross Domestic Product (GDP) at basic prices, by North American Industry Classification System (NAICS) aggregates, by Industry, volume measures, monthly, 5 most recent time periods.
DOI: 10.3886/icpsr07986.v1
title: Quality of Life in the Detroit Metropolitan Area, 1975
title: Version 1

description: This study of 1,194 adults in Wayne, Oakland, and Macomb counties in Detroit in 1975 was part of an extensive research project designed to produce important theoretical and operationally useful research results on the urban environment and quality of life. Respondents were either the head, or the spouse of the head, of household. The sample provided adequate representation of both Detroit itself and the surrounding area, and of racial and economic subgroups. It was taken from the geographic area defined as the 1971 Detroit SMSA, which included Wayne, Oakland, and Macomb counties. Data were gathered on population, housing, and neighborhood characteristics, including percentagized data on age groups, unemployment rate, labor force, occupancy and vacancy rate, tenureship, single family ownership, ownership or rental by racial groups, crime rate, injuries, and ejection. Respondents were asked about the public transportation system, schools, recreational opportunities, public safety, housing, and sanitation in their neighborhood. Other items probed respondents' feelings about their neighborhood, work, the Detroit tri-county area in relative terms, preferred place to live in the United States and reasons for their choice, future unemployment in the Detroit tri-county area, city officials, taxes and the variety of local services taxes were used for, and use of violence to effect social change. Additional items probed respondents opinions about private schools, quality of public schools, the police, neighborhood problems, and integrated neighborhoods, as well as recreational activities. Also probed were respondents' satisfaction with their life, time spent with family, marriage, housing, government's recreational facilities for children in their neighborhood, and the quality and price of foods in supermarkets. Background items specify age, date of birth, education, race, shades of skin color, marital status, personality type, family income, employment, religion, labor union membership, previous residence, household size and composition, home ownership, and length of stay in neighborhood.
description: Datasets: 
 
 DS1: Dataset
description: Detroit Area Studies Series
description: A stratified sample of area residents who were either the head, or the spouse of the head, of household in the Detroit SMSA, including Wayne, Oakland, and Macomb counties, in 1975.
DOI: 10.5067/aura/mls/data2019
title: MLS/Aura L2 Relative Humidity With Respect To Ice - Version 4
DOI: 10.5067/caliop/calipso/lid_l2_05kmcpro-standard-v4-20
title: CALIPSO Lidar Level 2 Cloud Profile Data V4-20
DOI: 10.5258/soton/wp00208
title: Pakistan 1km Poverty

description: DATASET: Alpha version 2010-11 estimates of proportion of people per grid square living in poverty, as defined by $1.25 a day and $2 a day thresholds, and associated uncertainty metrics. 
REGION: Africa 
SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Proportion of residents living on $1.25 and $2 a day (poverty dataset); 95% credible interval (uncertainty dataset) 
MAPPING APPROACH: Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates applied to GPS-located household survey data on poverty from the LSMS program. 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Examples - nga10povcons125.tif = Nigeria (nga) consumption-based poverty map for 2010 showing proportion of residents living on less than $1.25 a day. nga10povcons125-uncert.tif = uncertainty dataset showing 95% credible intervals. 
DATE OF PRODUCTION: Nov 2013 
CITATION: Tatem AJ, Gething PW, Bhatt S, Weiss D and Pezzulo C (2013) Pilot high resolution poverty maps, University of Southampton/Oxford
DOI: 10.5281/zenodo.12724484
title: Six years of high-resolution monitoring data of 40 borehole heat exchangers

description: This dataset provides six years of monitoring data of the ground heat exchanger that supplies heat and cold to the E.ON Energy Research Center located in Aachen, Germany. The data belong to the following publication:



Heim, E., Stoffel, P., Müller, D., & Klitzsch, N. (2024). Six years of high-resolution monitoring data of 40 borehole heat exchangers. Scientific Data, 11(1), 1334. https://doi.org/10.1038/s41597-024-04241-9


The ground heat exchanger consists of 40 double-U-loop borehole heat exchangers (BHE), that are arranged in three subfields. Each subfield is connected to an underground vault, in which sensors for the inlet fluid temperature, the outlet fluid temperature and the volume flow of each BHE are placed. The sensors record data in 30-second intervals. Coherent data is provided from July 1, 2018 to June 30, 2024 in two time resolutions and processing levels:



Raw data: The raw data in its initial resolution, aligned to coherent 30-second timestamps.

Prepared data: The raw data was resampled to 5 minute intervals using the weighted mean, with the volume flow as weight. Moreover, data periods that are not representative of the thermal exchange process in the BHE were masked (e.g., no-flow periods).


Both raw and prepared data are provided as .csv files for each month individually. Temperature measurements are given in °C, the volume flow rate in l/min. 

In addition, a supporting file indicating the BHE locations is provided. It also contains the length of the horizontal connecting pipes going from the underground vaults (where the sensors are placed) to the BHE heads. 

Code explaining how to open and work with the data is provided in a separate github repository: https://github.com/elimh/ERC_BHEfield_Data_Code
DOI: 10.5281/zenodo.12912062
title: Data for "Identifying and quantifying unexpected deep zooplankton diel vertical migration in a large deep lake (Lake Geneva)"

description: The repository contains the data for the paper "Identifying and quantifying unexpected deep zooplankton diel vertical migration in a large deep lake (Lake Geneva)", submitted to Limnology & Oceanography.
DOI: 10.5281/zenodo.13333034
title: European Forest Disturbance Atlas

description: Description

This repository holds maps of annual forest disturbances across 38 European countries derived from Landsat satellite data. The European Forest Disturbance Atlas currently covers the period 1985-2023 and consists of a set of maps:



The year of disturbance layers contain the year of the most recent disturbance event in the time-series, the greatest disturbance in terms of spectral change and stack of annual disturbances indicating undisturbed (0) and disturbed (1).

The number of disturbances layer shows the number of disturbance events detected within the time-series.

The disturbance severity layer indicates the spectral change in NBR relative to pre-disturbance.

The disturbance agent layer summarises the attribution of agents over the full time series. The causal agents assigned are wind/bark beetle complex (1), fire (2), harvest (3) and mixed agents (4, where more than one agent occurred). The stack of disturbance agents provides annual information on causal agent assigned.


The maps are available per country as GeoTIFF. The spatial reference system is EPSG 3035 (ETRS89 / LAEA Europe). The most current version is 2.1.1. The maps will be updated regularly. The maps can also be explored online.

Version history



2.0.0 - Initial version, covering 1985-2021.

2.1.0 - Maps updated until 2023. Added forest land use layer and annual stacks of disturbances (including annual disturbance probabilities and disturbance agents).

2.1.1 - Improvements to the disturbance maps introduced and disturbance severity layer added.


Known issues



Some SLC-off artefacts (both version 2.0.0 and 2.1.0).

Known errors related to the forest mask of Belarus, Moldova and Ukraine (now corrected in 2.1.0)

Known some false disturbances mapped north of 67°N in Norway, Sweeden and Finland.
DOI: 10.5281/zenodo.13377300
title: Steam methane reforming using a regenerable antenna-reactor plasmonic photocatalyst

description: This dataset contains zip files for the following categories: 

1) Data for reproducing the plots in 'Steam methane reforming using a regenerable antenna-reactor plasmonic photocatalyst.' 

2) Details of electrodynamic simulation and DFT calculations of the carrier distribution, including the input files (atomic coordinates for the jDFTx), codes, log files, output files, and tutorials. 

3) Raw gas chromatography (GC) data, including the method file for the GC.
DOI: 10.5281/zenodo.13692454
title: Brightness temperature data and weather station data from general scans of the microwave radiometer HATPRO

description: This set contains brightness temperature observations and associated weather station data from microwave radiometer HATPRO for three events on Jul 27 and Aug 1, 2023.
DOI: 10.5281/zenodo.14162309
title: MDG - Pasec 2019

description: This database is constructed from PASEC - Madagascar survey data for 2019.
DOI: 10.5281/zenodo.6574856
title: Soil sand content [%] for continental Europe at 30 m spatial resolution for period 2000-2020: Open Soil Data Cube for Europe

description: Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environment for statistical computing (Hengl & MacMillan, 2019; Hengl, et al., 2021). For each pixel we provide prediction errors as 1 standard deviation in either log or the original variable scale. The short description of currently available soil properties: sand.tot = sand content [percent]; Soil properties were predicted at fixed depths: Surface soil = s0..0cm,<br> Subsoil 1 = s30..30cm,<br> Subsoil 2 = s60..60cm,<br> Subsoil 3 = s100..100cm. To produce estimates for depth intervals e.g. 0–30 cm, 0–100 cm best use the trapezoidal rule formula. Periods: 2000 (2000–2003), 2004 (2004–2007), 2008 (2008–2011), 2012 (2012–2015), 2016 (2016–2019), 2020;
DOI: 10.5518/255
title: Geothermal heat pump system operational data: high frequency monitoring of a large university building

description: This data was collected as part of a PhD project to analyze the performance of a large-scale non-domestic heat pump installation. The building in question was the Hugh Aston building at Demontfort University, Leicester, UK. High frequency data have been collected during the initial three years of operation of the system. This data has been collated to allow seasonal performance factors to be derived and also detailed analysis of heat pump, circulating pump and control system operation. The data set includes minutely ground loop and heating/cooling loop fluid temperatures and flow rates. The data set has been used to validate models and design procedures for vertical borehole ground heat exchanger arrays.
DOI: 10.60656/ca8017ee6ef94027
title: Custom collection of model data from Lindenberg between 14 Jul and 20 Oct 2020
DOI: 10.6084/m9.figshare.24430444
title: Sex predicts response to novelty and problem solving in a wild bird with female-biased sexual dimorphism.

description: A wide range of animals, including a number of bird, fish, mammal, and reptile species, show sex differences in cognitive tests. Hardly anything is known, however, about whether and how sex-specific noncognitive factors (e.g. response to novelty) affect the expression of cognition in the wild. We used a series of learning and problem-solving tasks in wild breeding skuas, a species in which females are the larger sex (female-biased sexual size dimorphism). We also evaluated the birds’ response to novelty (novel objects) before and after the tasks were administered. Both sexes performed equally well in learning (<i>Discrimination-learning task</i>) and re-learning (<i>Reversal-learning task</i>) food associations with colour and spatial cues, but female skuas outperformed males in problem-solving tasks (<i>String-pulling task</i>, <i>Box-opening task</i>). Females were also less neophobic than males: they were faster at accepting a food reward in novel situations. Better female performance may not imply higher cognition <i>per se</i>. Sex-specific size differences may translate into less or more neophobic behavioural types, which, in turn, predict females’ problem-solving success and response to novelty. Species with female-biased sexual dimorphism may present a useful model to assess the interactions between sex, non-cognitive factors and cognition in the wild.
DOI: 10.6084/m9.figshare.28059788
title: Supplementary Material for: Effectiveness of Machine Learning Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use

description: This study aimed to evaluate effects of three machine learning based adjustments made to an eHealth intervention for mild alcohol use disorder, regarding a) early dropout, b) participation duration, and c) success in reaching personal alcohol use goals. Additionally, we aimed to replicate earlier machine learning analyses. We used three cohorts of observational log data from the Jellinek Digital Self-help intervention. First, a cohort before implementation of adjustments (T0; n=320); second, a cohort after implementing two adjustments (i.e., sending daily emails in the first week and nudging participants towards a ‘no alcohol use’ goal; T1; n=146); third, a cohort comprising the prior adjustments complemented with eliminated time constraints to reaching further in the intervention (T2; n=236). We found an increase in participants reaching further in the intervention, yet an increase in early dropout after implementing all adjustments. Moreover, we found that more participants aimed for a quit goal, whilst participation duration declined at T2. Intervention success increased, yet not significantly. Lastly, machine learning demonstrated reliable for outcome prediction in smaller datasets of an eHealth intervention. Strong correlates as indicated by machine learning analyses were found to affect goal setting and use of an eHealth program for alcohol use problems.
DOI: 10.6084/m9.figshare.28077017
title: Supplementary Material for: Eligibility for rapid up-titration of guideline-directed medical therapy of real-world patients hospitalised for heart failure

description: Introduction and aims: The 2023 Focused Update of the 2021 ESC Heart Failure (HF) Guidelines recommends the rapid up-titration (RT) of guideline-directed medical therapy (GDMT) for all patients hospitalised for HF to improve prognosis in light of STRONG-HF trial. However, the real-world feasibility of RT and the optimal selection of suitable patients may cause difficulties, as the STRONG-HF trial applied strict randomisation criteria. We aimed to assess the proportion of hospitalised HF patients suitable for RT after discharge.

Methods: The proportion of patients eligible for RT based on the basic in- and exclusion criteria of the STRONG-HF trial (systolic blood pressure [SBP]≥100mmHg, heart rate [HR]≥60min-1, serum potassium≤5mmol/L, eGFR≥30mL/min/1.73m2, discharge NT-proBNP&gt;1500pg/mL) was assessed in a consecutive patient cohort at a tertiary referral center between 01/04/2021 and 31/12/2023. 

Results: Data from 408 consecutive patients were analysed (male: 71%; age: 62[51-72]years; left ventricular ejection fraction: 27[20-35]%; HFrEF: 82%; hypertension: 67%; diabetes: 36%; atrial fibrillation: 47%). 78% of the patients were suitable for RT based on the SBP criterion, 93% on HR, 89% on serum potassium, and 91% on eGFR values. Thus, 60% were eligible for RT using the combined assessment of these parameters. When including the NT-proBNP value as well (60%), 34% of the cohort were eligible for RT.

Conclusions: Based on our study, the proportion of patients suitable for RT of GDMT ranged from 34% to 60% based on the basic eligibility indicators of the STRONG-HF trial. Our results highlight the strategic importance of careful selection of patients eligible for RT.
DOI: 10.13026/1n74-ne17
title: MIMIC-IV-Note: Deidentified free-text clinical notes

description: The advent of large, open access text databases has driven advances in state-
of-the-art model performance in natural language processing (NLP). The
relatively limited amount of clinical data available for NLP has been cited as
a significant barrier to the field's progress. Here we describe MIMIC-IV-Note:
a collection of deidentified free-text clinical notes for patients included in
the MIMIC-IV clinical database. MIMIC-IV-Note contains 331,794 deidentified
discharge summaries from 145,915 patients admitted to the hospital and
emergency department at the Beth Israel Deaconess Medical Center in Boston,
MA, USA. The database also contains 2,321,355 deidentified radiology reports
for 237,427 patients. All notes have had protected health information removed
in accordance with the Health Insurance Portability and Accountability Act
(HIPAA) Safe Harbor provision. All notes are linkable to MIMIC-IV providing
important context to the clinical data therein. The database is intended to
stimulate research in clinical natural language processing and associated
areas.
DOI: 10.15784/601326
title: Mid-Holocene high-resolution water isotope time series for the WAIS Divide ice core

description: The original water stable isotope data for the WAIS Divide Deep Ice Core was generated under the University of Colorado INSTAAR Stable Isotope Lab (NSF Award# 1443328). This data set contains high-resolution dD and d18O data for the West Antarctic Ice Sheet (WAIS) Divide Ice core. Drilling was initiated in 2006 and completed in 2011, and subsequent analyses on the ice were performed at the University of Colorado INSTAAR Stable Isotope Lab using Continuous Flow Analysis (CFA). The targeted resampling of the WAIS Divide Ice core (1035.4 - 1368.2m) occurred for this grant (NSF OPP - Antarctic Glaciology 1807522) to replace data analyzed on an older generation Laser Absorption Spectroscopy instrument. The resampling interval was identified using information theory.
DOI: 10.1594/pangaea.724658
title: Swath sonar bathymetry during POLARSTERN cruise ANT-XVI/4 (PS53) with links to multibeam raw data files

description: Multibeam data were collected without operator supervision on R/V Polarstern cruise ANT-XVI/4 along track lines of 6385 NM total length. Data were achieved during transits and stationary work on the route from Cape Town to Bremerhaven via the Cape Verde Islands and the Canary Islands. The multibeam sonar system Hydrosweep DS-2 was operated using 59 beams and 90° aperture angle. The quality of data might be reduced during bad weather periods or adverse sea ice conditions. The dataset contains raw data that are not processed and thus may contain errors and blunders in depth and position.
description: The raw multibeam sonar data in SURF format are compressed as TAR archive with GZIP. One dataset contains a measurement period not exceeding eight hours. SURF data files can be processed using the software packages CARIS HIPS/SIPS or with the open source software package MB-System (http://www.ldeo.columbia.edu/res/pi/MB-System/). The source code for an application programming interface (API) to read and write SURF data is released by the Hydrosweep manufacturer Atlas Hydrographic, Bremen, and published under the GNU GPL. Contact mailto:infobathy@awi.de for data access.
DOI: 10.1594/pangaea.759289
title: Multibeam survey (latitude, longitude, depth) from POLARSTERN cruise ARK-III/2
DOI: 10.1594/pangaea.759290
title: Multibeam survey (latitude, longitude, depth) from POLARSTERN cruise ARK-III/3
DOI: 10.1594/pangaea.759293
title: Multibeam survey (latitude, longitude, depth) from POLARSTERN cruise ARK-IV/1
DOI: 10.1594/pangaea.759297
title: Multibeam survey (latitude, longitude, depth) from POLARSTERN cruise ARK-IV/3
DOI: 10.1594/pangaea.759508
title: Multibeam survey (latitude, longitude, depth) from POLARSTERN cruise ARK-II/4
DOI: 10.1594/pangaea.762954
title: Swath sonar bathymetry during POLARSTERN cruise ARK-XX/3 (PS66) with links to multibeam raw data files

description: Multibeam data were collected during R/V Polarstern cruise ARK-XX/3. Data recording was executed in Fram Strait Region. Data are unprocessed and may contain outliers and blunders. Therefore the data should not directly be used for grid calculations and charting projects but need to be edited furthermore. One file contains a measurement period not exceeding eight hours. The dataset consists of 78 files in ATLAS SURF format which are compressed with GZIP to size of 796 MB. SURF data files can be processed using the software packages CARIS HIPS/SIPS or with the open source software package MB-System (http://www.ldeo.columbia.edu/res/pi/MB-System/). The source code for an application programming interface (API) to read and write SURF data is released by the Hydrosweep manufacturer Atlas Hydrographic, Bremen, and published under the GNU GPL. Contact mailto:infobathy@awi.de for data access.
DOI: 10.1594/pangaea.762980
title: Swath sonar bathymetry during POLARSTERN cruise ARK-XX/2 (PS66) with links to multibeam raw data files

description: Multibeam data were collected during R/V Polarstern cruise ARK-XX/2. Data recording was executed in Fram Strait Region. Data are unprocessed and may contain outliers and blunders. Therefore the data should not directly be used for grid calculations and charting projects but need to be edited furthermore. One file contains a measurement period not exceeding eight hours. The dataset consists of 135 files in ATLAS SURF format which are compressed with GZIP to size of 961 MB. SURF data files can be processed using the software packages CARIS HIPS/SIPS or with the open source software package MB-System (http://www.ldeo.columbia.edu/res/pi/MB-System/). The source code for an application programming interface (API) to read and write SURF data is released by the Hydrosweep manufacturer Atlas Hydrographic, Bremen, and published under the GNU GPL. Contact mailto:infobathy@awi.de for data access.
DOI: 10.1594/pangaea.763421
title: Swath sonar bathymetry during POLARSTERN cruise ARK-X/1 (PS31) with links to multibeam raw data files

description: Multibeam data were collected during R/V Polarstern cruise ARK-X/1 in Fram Strait region. Data recording was not supervised by hydrographers. Data are unprocessed and may contain outliers and blunders. Therefore the data should not directly be used for grid calculations and charting projects but need to be edited furthermore. One file contains a measurement period of one day. The dataset consists of 9 files in ATLAS ascii multibeam format (*.dux) which are compressed with GZIP to size of 39.4 MB. Atlas DUX data files can be processed using the open source software package MB-System (http://www.ldeo.columbia.edu/res/pi/MB-System/). Contact mailto:infobathy@awi.de for data access.