cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/705d6e39-9b04-497d-b8e8-4f617f3a6477
title: A systematic florula of a disturbed urban habitat, Sheffield, England: Plant occupancy data

description: Plant occupancy data from a survey of a disturbed urban habitat. The survey is an occupancy study of the vascular plants of 16 500 x 500 m (0.25 km2) urban grid cells, stratified by quadrant at the scale of the focal city (Sheffield, England) in order to provide more even coverage. Few systematic, randomised surveys at fine spatial grain exist for urban habitats, and even fewer of these surveys are in the public domain. This study was designed as a systematic florula (i.e. a small flora) of a relatively discrete urban habitat in order to provide a baseline that would enable robust insights into future environmental change. In addition, the dataset is likely to be useful for comparative studies of plant traits, particularly those of highly disturbed habitats.
description: All plants identified in this study were identified by the author. Plant specimens which could not be named in the field were keyed using the current standard Flora for Britain and Ireland (Stace 2010) or a vegetative key (Poland and Clement 2009). In a very small number of cases where the available material was not sufficient for certain identification, specimens were recorded to genus level.
DOI: 10.5285/f493ad5c-585c-475d-a374-2f77b5866bc4
title: Modelled vegetation carbon, temperature and rainfall for Great Britain 1997-2099 under four climate and CO2 scenarios

description: This dataset contains modelled vegetation carbon output from the land surface model JULES, along with the temperature and rainfall outputs (which were originally inputted) at a monthly, 1.5km resolution. There are four different JULES simulations, using two different climate projections (global climate sensitivity of 3.5K and highest global climate sensitivity of 7.1K) under a constant, present day atmospheric CO2 and a CO2 pathway that follows the SRES (Special Report on Emissions Scenarios) A1B scenario.
description: JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology and Hydrology and is available for use after registering on the JULES repository (https://code.metoffice.gov.uk/trac/jules). The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘transient_25km_drive’, available from https://code.metoffice.gov.uk/trac/roses-u (registration required).
DOI: 10.5285/68adb7d4-6138-4d70-b469-2471349b331a
title: Plant biomass and leaf-level functional traits from four different genotypes of sugarcane plants grown under a range of ozone conditions

description: This dataset contains measurements of plant biomass and leaf-level functional traits from sugarcane plants of four different genotypes that were grown under different ozone (O3) conditions in Open Top Chambers for approximately 90 days. It also contains the calculated phytotoxic ozone dose for each of the four genotypes, the O3 concentration measurements and the environmental conditions (air temperature, relative humidity, and photosynthetically active radiation). The four genotypes tested were: Saccharum officinarum L. cv. Badila, Saccharum spontaneum cv. Mandalay, Q240, and CTC4.
description: The sugarcane plants were grown in nine independently controlled and monitored Open Top Chambers at the joint University of Exeter and James Cook University (JCU) TropOz research facility located on the Nguma-bada campus of JCU in Cairns, Queensland, Australia. The O3 concentrations were measured approximately every 22 minutes using an ultraviolet UV absorption O3 analyser and environmental variables were monitored in the chambers using a single meteorological monitoring station.

The plants were harvested and oven dried to determine biomass production, and the biomass was partitioned into leaf, stalks and roots. The accumulated O3 flux into leaves was estimated using the Deposition of O3 for Stomatal Exchange (DO3SE) model (Version 3.1) parameterized using leaf-level gas-exchange data collected using a portable photosynthesis analyser. 

These data were subject to standard data input and sense checking.
DOI: 10.5285/e040ff39-2176-4ed4-9e5d-861bdae8a030
title: Multi-temporal aerial imagery of rivers in the Philippines, 2019-2020

description: The data set contains multi-temporal aerial imagery for two river segments in the Philippines. Imagery covers: (i) the downstream segment of the Bislak River and (ii) the confluence of the Abuan, Bintacan and Pinacanauan de Ilagan Rivers (referred to as ‘Ilagan’ in this data resource). Repeat aerial surveys were completed in 2019 and 2020. The data coverage includes the river channels, floodplains and surrounding areas. Raw aerial images were processed to produce spatially corrected orthoimagery (see supporting documentation). The resulting orthoimagery has a 0.2 m spatial resolution, containing information on the red, green and blue (RGB) bands.

The work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312.

description: Aerial surveys were completed on the following dates:
Bislak 2019 – 21 March 2019
Bislak 2020 – 22 January 2020
Ilagan 2019 – 5 April 2019
Ilagan 2020 – 14 February 2020

Raw images were acquired as .tif files. Capture One, Adobe Lightroom and TerraPhoto software were used to process the raw images into orthoimagery. The main processing steps were: (1) colour corrections, (2) tie-point definition, (3) colour points and selection shapes, and (4) rectification. Orthoimagery is provided as .tif files. 
The positional accuracy of the orthoimagery was checked and verified by the third-party responsible for completing the aerial surveys.
DOI: 10.5285/f82f7ad8-0e98-41cb-951e-be64ffd36078
title: Qualitative data on socio-economic characteristics from ten villages in Gurue, Mozambique

description: This dataset contains the transcripts of interviews and discussion groups from ten villages in the Gurue district, Zambezia province, Mozambique. The ten villages were selected from a land scarcity gradient running from villages with abundant land to those with intense land constraints, mainly driven by expanding agricultural activities and population density. The villages had similar infrastructure, soils, rainfall, and vegetation types. The dataset contains information on participatory mapping of the village characteristics, seasonality, how agricultural activity has changed over time (trend analysis), wealth ranking within the villages and differences between wealth statuses, and profiles/characteristics of each village. Interviews were conducted with groups in each village or the leader of the village, between July and December 2015. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme.
description: For the interviews with the different actor groups, guidelines with questions in Portuguese were prepared. Most interviews were conducted by the lead researcher together with one assistant/translator. Prior to each interview the assistant was trained on the objective of the interview and the way they should ask the questions. At a later stage, the trained assistant conducted some interviews. If needed, all questions were translated from Portuguese to Elomwe and vice versa. By discussing various topics repeatedly with different groups/persons, information could be validated and highlighted from different perspectives. Furthermore, context information gained through interviews, conversations and focus group discussions helped to gradually better focus the interviews. After each interview, all information was discussed either with the assistant or a colleague. This helped to improve the understanding of what was said. In case of lack of understanding, clarification was sought via communications with locals. Back in the office, all notes were written down in English. Notes taken by the assistant were recorded in Portuguese and translated to English.
DOI: 10.5285/4df17a8f-9854-4b6e-8578-d99fbefb1352
title: Post-drought forest inventory and tree canopy health data, Rhӧn Biosphere Reserve, Germany, 2021

description: This dataset comprises forest inventory (diameter at breast height, tree height, social class and relative crown distance) and tree canopy health data (extent of overall damage, discolouration and defoliation) collected in 2021 from sites within core protected areas of the UNESCO Rhӧn Biosphere Reserve dominated by European beech (Fagus sylvatica) forest. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable the analysis of individual tree and stand level characteristics that influence the response (canopy damage and defoliation) of European beech trees to extreme drought events. Field assessments of individual tree and stand canopy health were carried out within this project collecting data comprising canopy condition assessments and measurements of individual tree size and stand demography.  

The work was supported by the Natural Environment Research Council (Grant NE/V00929X/1).
description: Forest inventory data were measured alongside canopy condition following protocol set out in the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests Part IV Visual Assessment of Crown Condition and Damaging Agents. The dataset provided here detailed the complete set of individual tree measurements as measured in the field for 38 sites using 10m fixed radius plots.
DOI: 10.5285/467942bd-2cd5-4038-bc4f-5d77535d99f1
title: Hourly data from automatic water monitoring buoy from Blelham Tarn, 2019

description: Air temperature, solar radiation flux, wind speed and lake water temperatures at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12 m depth are measured at an automatic monitoring buoy in Blelham Tarn. All data is given in GMT (Greenwich Mean Time). 

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
description: The instruments measure data every four minutes, the hourly averages provided in this dataset are calculated by an Oracle database. The average is calculated over the previous hour, e.g. the value for 2 pm is the average of the data between 1 and 2 pm, excluding the data measured at 1 pm but including the data measured at 2 pm. 

Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed. Any data gaps are due to buoy maintenance work or sensor/logger problems.
DOI: 10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797
title: Canopy height measured by LiDAR during the 2015-16 El Niño Southern Oscillation (ENSO) event in Malaysian Borneo

description: The dataset contains top-of-canopy height before and after the 2015-15 El Niño Southern Oscillation (ENSO) event across a human-modified tropical landscape in Malaysian Borneo. The derived changes in top-of-canopy height from 36,655 repeated measurements were investigated. Data were obtained from airborne LiDAR in November 2014 and April 2016. Topographic Position Index and distance from oil palm plantations are also included to investigate the effects of topography and fragmentation on the canopy height change during the ENSO event. Each observation (pixel) contains the coordinates to assess the spatial effects on canopy changes.
description: All data were generated by the authors. LiDAR data were generated and checked to ensure precision from repeated canopy height measurements. We also ensured that differences in LiDAR sensors did not affect the canopy height change observations and, if necessary, excluded from analysis. Distance of measurements from oil palm plantations were determined using 2 m resolution satellite images. All data were checked to ensure reported values were within the natural ranges of forests canopy height change. All calculations were checked for errors before data was accepted.
DOI: 10.5285/3c8f4e46-bf6c-4ea1-9340-571fede26ee8
title: Insect pollinator and flower data from the Glastir Monitoring and Evaluation Programme, Wales, 2013-2016

description: This dataset consists of counts of pollinating insects from sites across Wales, with associated information on flower cover and survey conditions. Data were collected during (1) transect walks and (2) timed observations of pollinator-flower interactions. Data were collected between 2013 and 2016 from sites across Wales as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government to monitor the effects of the Glastir agri-environment scheme on the environment. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.
description: The data were recorded by trained professional surveyors using bespoke recording forms (provided in supporting information). There were two main components to each survey visit: (1) a 2km transect walk and (2) a timed observation of pollinator-flower interactions within a fixed area. Data were recorded from 300 x 1km squares sited across Wales, selected by random stratified sampling. Surveyors entered data to a secure online portal. Data were subsequently transposed, stored in a secure geodatabase, and exported as comma-separated value fields for deposit into the EIDC. The survey was managed by the UK Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.
DOI: 10.5285/8d6effc3-54f2-4770-ac34-63320eb9e4e2
title: European beech tree ring data, Rhön Biosphere Reserve, Germany, 2021

description: This dataset includes tree ring width data, derived from tree cores, that were sampled from sites across the Rhön Biosphere Reserve (Germany). At each chosen site three trees were cored, with two or three cores taken per cored tree. Data was collected in August 2021. 
description: Tree cores were sampled using increment borers. At each site three trees were chosen for coring, with two or three cores taken per tree. 

Cores were sanded and ring widths measured based on high-resolution images of the sanded cores. Cores were cross-dated and summary statistics used to compare cross-dating accuracy. The dataset contains the resulting dated ring width series.
DOI: 10.15468/dl.f7ghef
title: Occurrence Download

description: A dataset containing 38059963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 38059963 records from 4096 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031173-251025141854904/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.30691784
title: Figure 2 – Source Data (spontaneous synaptic transmission and intrinsic properties in dmPFC L2/3 neurons)

description: This dataset contains the raw numerical values used to generate all panels of Figure 2, which examines spontaneous synaptic transmission and intrinsic excitability of layer 2/3 pyramidal neurons in the dmPFC following repeated ketamine treatment.<br>Included data:- Quantification of PV+/DAPI cell ratios in dmPFC (Panel 2b)- sIPSC recordings: inter-event intervals, frequency, amplitude, and representative traces (Panel 2c)- sEPSC recordings: cumulative distributions, frequency, amplitude, and representative traces (Panel 2d)- Intrinsic excitability measurements: resting membrane potential, input resistance, voltage sag (–200 pA), firing rates (0–400 pA), rheobase, and phase-plane plots (Panel 2e)- mEPSC recordings in the presence of TTX: inter-event intervals, frequency, amplitude, and representative traces (Panel 2f)<br>Structure:- Each worksheet corresponds to a panel <br>This dataset enables full reproduction of the synaptic and intrinsic physiology results presented in Figure 2.<br>
DOI: 10.6084/m9.figshare.30691784.v1
title: Figure 2 – Source Data (spontaneous synaptic transmission and intrinsic properties in dmPFC L2/3 neurons)

description: This dataset contains the raw numerical values used to generate all panels of Figure 2, which examines spontaneous synaptic transmission and intrinsic excitability of layer 2/3 pyramidal neurons in the dmPFC following repeated ketamine treatment.<br>Included data:- Quantification of PV+/DAPI cell ratios in dmPFC (Panel 2b)- sIPSC recordings: inter-event intervals, frequency, amplitude, and representative traces (Panel 2c)- sEPSC recordings: cumulative distributions, frequency, amplitude, and representative traces (Panel 2d)- Intrinsic excitability measurements: resting membrane potential, input resistance, voltage sag (–200 pA), firing rates (0–400 pA), rheobase, and phase-plane plots (Panel 2e)- mEPSC recordings in the presence of TTX: inter-event intervals, frequency, amplitude, and representative traces (Panel 2f)<br>Structure:- Each worksheet corresponds to a panel <br>This dataset enables full reproduction of the synaptic and intrinsic physiology results presented in Figure 2.<br>
DOI: 10.5281/zenodo.17706614
title: When AI Becomes a Coping Mechanism: Exploring Student Dependency on Virtual Assistants

description: This study investigates why students rely on Artificial Intelligence (AI) tools on the basis of personality, workload, and affect. Data were gathered through the distribution of a purposive sampling online questionnaire to 276 students and respondents from all Indonesian higher education institutions (HEI) in the country. Data was segregated at the bottom to retain at least 257 valid respondents from the total 276 questionnaires to fulfill the data primary system and the confidence level of data outputs. The responses were analyzed through PLS SEM and analyzed. Results showed that negative affective states related to studies were caused by neuroticism and impulse. The increased workload on studies was AI dependent. The increased conscience burning perfectionism on studies did not show any AI dependent strong hesitance. Self AI perfectionism was thought to emotionally cope with the self, which suggests the increased AI dependency. The study posits that the dependency on AI tools must be on account of a highly sophisticated framework/infrastructure built on complex factors.
DOI: 10.5281/zenodo.17706615
title: When AI Becomes a Coping Mechanism: Exploring Student Dependency on Virtual Assistants

description: This study investigates why students rely on Artificial Intelligence (AI) tools on the basis of personality, workload, and affect. Data were gathered through the distribution of a purposive sampling online questionnaire to 276 students and respondents from all Indonesian higher education institutions (HEI) in the country. Data was segregated at the bottom to retain at least 257 valid respondents from the total 276 questionnaires to fulfill the data primary system and the confidence level of data outputs. The responses were analyzed through PLS SEM and analyzed. Results showed that negative affective states related to studies were caused by neuroticism and impulse. The increased workload on studies was AI dependent. The increased conscience burning perfectionism on studies did not show any AI dependent strong hesitance. Self AI perfectionism was thought to emotionally cope with the self, which suggests the increased AI dependency. The study posits that the dependency on AI tools must be on account of a highly sophisticated framework/infrastructure built on complex factors.
DOI: 10.15468/dl.7t5u8y
title: Occurrence Download

description: A dataset containing 374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen, Fossil)",
 "TaxonKey is Euphorbia multiseta"
 ]
}

 The dataset includes 374 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006967-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6g2petf/1qfjhk
title: Moore-et-al_TN_0721_exec-orders-lee82.pdf
DOI: 10.5064/f6g2petf/obsxja
title: Moore-et-al_OR_0521_Walk-in vaccinations available at many pharmacies _ Oregon Health News Blog.pdf
DOI: 10.5064/f6g2petf/vnnury
title: Moore-et-al_OR_0821_Take the time to catch up on vaccination during National Immunization Awareness Month _ Oregon Health News Blog.pdf
DOI: 10.15468/dl.ecpp9n
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008912-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6g2petf/y5ajtu
title: Moore-et-al_PA_0921_2021-600-9-30-ADV-Vaccine and Pregnancy.pdf
DOI: 10.5064/f6g2petf/b9ti6q
title: Moore-et-al_OR_0821_COVID-EOT-Specs0821.pdf
DOI: 10.5064/f6g2petf/qawbv9
title: Moore-et-al_OK_1220_OK_1220_COVID-19 Vaccine Priority Population Framework for Oklahoma - 12-10-20.pdf
DOI: 10.5064/f6g2petf/b6pfxq
title: Moore-et-al_PA_0521_Department of Health Provides Final Flu Update of 2020-2021 Season_ Highlights Include One of Mildest Seasons on.pdf
DOI: 10.5064/f6g2petf/ofwvwo
title: Moore-et-al_SC_0321_School District Memorandum - March 2 2021.pdf
DOI: 10.5064/f6g2petf/fyuqnt
title: Moore-et-al_OR_0721_Updates on the Delta variant _ Oregon Health News Blog.pdf
DOI: 10.5064/f6g2petf/eix5vb
title: Moore-et-al_SD_0321_COVID-19 News_South Dakota Department of Health_02.pdf
DOI: 10.5064/f6g2petf/8agr74
title: Moore-et-al_PA_1220_COVID-19 Vaccine FAQs_02.pdf
DOI: 10.5064/f6g2petf/83tr7g
title: Moore-et-al_TN_0721_Robertson County Stories.pdf
DOI: 10.5064/f6g2petf/fy71zw
title: Moore-et-al_TX_0821_Governor Abbott Takes Action To Mitigate Rise In COVID-19 Cases In Texas _ Office of the Texas Governor _ Greg A.pdf
DOI: 10.5064/f6g2petf/jq6mtl
title: Moore-et-al_OR_1220_COVIDVaxPlanningUpdate12-9.pdf
DOI: 10.5064/f6g2petf/0fat2e
title: Moore-et-al_PA_0421_March April 2021 VFC Provider Notice.pdf
DOI: 10.5064/f6g2petf/gg0laa
title: Moore-et-al_SC_0121_PHO_VAMS Reporting_7A_1.7.21.pdf
DOI: 10.5064/f6g2petf/eovuhj
title: Moore-et-al_OR_0221_bulletin2021-01.pdf
DOI: 10.5064/f6g2petf/sz82qe
title: Moore-et-al_OH_0321_COVID-19-Quarantine-FAQs.pdf
DOI: 10.5064/f6g2petf/85l12s
title: Moore-et-al_PA_0321_2021-PAHAN - 560- 03-16-UPD- Work Restrictions for HCP with Exposure to COVID-19.pdf
DOI: 10.5064/f6g2petf/gxbhfi
title: Moore-et-al_TN_0421_Colonel Jason Glass leads military COVID-19 vaccination efforts in Memphis.pdf