cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17544339
title: Meteorological time series in Brazil - automatic stations

description: Hourly meteorological time series from automatic climate stations in Brazil.

This dataset is a mirror of official and public data released by Brazil's meteorological public services (INMET). The dataset here is streamlined for processing and managing large volumes of data.

Files

DATABASE.gpkg -- spatial database with the following layers:



stations -- points of climate stations with attributes;

fields -- table of field names and metadata;

data -- time series of meteorological varibales.




Note: data values are scaled by a factor to improve storage efficiency. See fields layer.


query.py -- standalone python script for data retrieval. See docstring for instructions.

Info

Number of stations in catalog: 100

Start of sampling: 2000-01-01 00:00:00

End of sampling: 2025-01-01 00:00:00

Meteorological variables:



ppt -- Total hourly precipitation (mm);

ap_loc -- Atmospheric pressure at the station level hourly (MB);

rad -- Global radiation (kJ/m²)

tas_db -- Dry bulb hourly air temperature (°C);

tas_dp -- Dew point hourly temperature (°C);

hur -- Relative hourly air moisture (%)

wind_dir -- Wind hourly direction (°);

wind_gust -- Wind hourly maximal gust speed (m/s);

wind -- Wind hourly speed (m/s);



Query data

SQL tool

Data can be retrieved in QGIS via SQL tool with this query:



SELECT d.*,s.cd_stationFROM data AS dLEFT JOIN stations AS sON d.id_station = s.id_station-- define station codeWHERE s.cd_station = 'A001'-- define datetime rangeAND d.datetime BETWEEN '2024-01-01' AND '2024-12-31'ORDER BY d.datetime;


This query can be imported as a table to QGIS and then exported as a CSV file.

Warning: data values are scaled. Check the fields layer for scale constants.

Python script

Using the terminal, go to folder with DATABASE.gpkg and query.py



>>> cd path/to/folder


Then call the query passing the arguments:



>>> python -m query -o "path/to/output" -s "A001" --start "2020-01-01" --end "2022-01-01"


Where -s is the station code string.

 

This will yield a CSV file for the query in the output folder. 

Note: This method already converts the values to the actual numerical range.

Warning: Pandas and Geopandas are required dependencies.

 



Source

Data was sourced from:

INMET (2025). Meteorological Database for Education and Research (BDMEP) from National Institute of Meteorology (Instituto Nacional de Meteorologia - INMET). Available at: https://bdmep.inmet.gov.br/ Latest access: February of 2025.

 

Logs

0.0.1 -- Data updated to 2025-01-01.
DOI: 10.34740/kaggle/dsv/13770202
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17402199
title: Data associated with A probabilistic approach to residual and momentary liquefaction depth prediction and comparative spatial analysis
DOI: 10.15468/dl.99yqdn
title: Occurrence Download

description: A dataset containing 37697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Parus major",
 "Year 2025-2025"
 ]
}

 The dataset includes 37697 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039902-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17401732
title: Data associated with Assessing the importance of sediment characterization on seabed embedment predictions of cylindrical objects
DOI: 10.15468/dl.yftbbr
title: Occurrence Download

description: A dataset containing 86768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus tectorum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 86768 records from 1131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039872-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3v93z
title: Occurrence Download

description: A dataset containing 2220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megascops sanctaecatarinae",
 "Year 2005-2024"
 ]
}

 The dataset includes 2220 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039903-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsw2g5
title: Occurrence Download

description: A dataset containing 19912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Ciconia ciconia",
 "Year 2025-2025"
 ]
}

 The dataset includes 19912 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039905-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17635099
title: Questions about determinants of export performance in peruvian companies
DOI: 10.5281/zenodo.17635100
title: Questions about determinants of export performance in peruvian companies
DOI: 10.15468/dl.bn837n
title: Occurrence Download

description: A dataset containing 68791 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IICT Herbário LISC"
 ]
}

 The dataset includes 68791 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039897-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17635122
title: Dogbone_hole_refined.geo finer mesh
DOI: 10.5281/zenodo.17635123
title: Dogbone_hole_refined.geo finer mesh
DOI: 10.15468/dl.y3u8gu
title: Occurrence Download

description: A dataset containing 4472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glaucidium minutissimum",
 "Year 2005-2024"
 ]
}

 The dataset includes 4472 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039906-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buxdnq
title: Occurrence Download

description: A dataset containing 14313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis blythii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14313 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039907-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqas7q
title: Occurrence Download

description: A dataset containing 10588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bupleurum tenuissimum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10588 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039908-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smt2re
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.66416 36.29951,-6.12447 36.29951,-6.12447 42.5232,-9.66416 42.5232,-9.66416 36.29951))",
 "TaxonKey is Nepeta caerulea Aiton",
 "Year 1975-2025"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007292-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tc9v9
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Urania leilus Linnaeus, 1758"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007291-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqgtwc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Valeriana montana L.",
 "Year 1975-2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007294-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10977447
title: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA)

description: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA).
DOI: 10.5281/zenodo.15464516
title: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA)

description: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA).
DOI: 10.5281/zenodo.15464619
title: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA)

description: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA).
DOI: 10.5281/zenodo.8181495
title: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA)

description: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA).
DOI: 10.5281/zenodo.8181496
title: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA)

description: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA).
DOI: 10.5281/zenodo.8185826
title: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA)

description: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA).
DOI: 10.5281/zenodo.8186773
title: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA)

description: The model for new data mapping to human endoderm-derived organoids cell atlas (HEOCA).
DOI: 10.15468/dl.337fnp
title: Occurrence Download

description: A dataset containing 12910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pleurosticta acetabulum (Neck.) Elix & Lumbsch",
 "Year 1806-2025"
 ]
}

 The dataset includes 12910 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007293-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgprj4
title: Occurrence Download

description: A dataset containing 633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Juniperus pinchotii Sudw.",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 633 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007296-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/qjtcxr
title: LDN1517: Line + Continuum observations

description: Line + Continuum observations of the LDN1517 region (Hacar & Tafalla 2011)
- Lines (FCRAO14m+SEQUOIA): 12CO(1-0), 13CO(1-0), C18O(1-0), N2H+(1-0), SO(32-21) convolved to 60 arcsec resolution. Format: CLASS
- 3mm-Continuum (IRAM30m+MAMBO) convolved to 20 arsec resolution. Format: FITS
DOI: 10.25403/upresearchdata.29082788
title: Bacterial strains isolated from diseased onion bulb rot in South Africa

description: Bacterial strains were isolated from onion bulbs displaying symptoms of internal rot, including light brown discolouration, maceration, and shrinkage of the fleshy scales. The affected bulbs were collected from agricultural fields in the Free State,Gauteng and Western Cape Province of South Africa. Following surface sterilisation of the entire bulb, symptomatic tissue from the internal scales was excised, macerated in sterile 1× PBS, and homogenised using a Bioreba extraction bag. The resulting suspension was serially diluted, streaked onto nutrient agar, and incubated at 28 °C for 48 hours. Distinct bacterial colonies were sub-cultured to obtain pure strains for further genomic and phenotypic characterisation. The selected isolates were analysed using housekeeping genes for their<br>positive or negative pathogenic response on onion bulb.
DOI: 10.15468/dl.435v3j
title: Occurrence Download

description: A dataset containing 2331595 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Retrospective Analysis of Antarctic Tracking (Standardised) Data from the Scientific Committee on Antarctic Research"
 ]
}

 The dataset includes 2331595 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007277-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajkbwf
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Juniperus standleyi Steyerm.",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007297-250515123054153/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.28104115
title: They paid attention to the whole of me in some way, both physically, mentally, and everything in between: a qualitative study of patients’ experiences of interdisciplinary rehabilitation (PREVSAM) in primary care for musculoskeletal disorders

description: To explore and describe patients’ experiences and perceptions of rehabilitation according to the rehabilitation model ‘Prevention of sickness absence through early identification and rehabilitation of at-risk patients with musculoskeletal pain’ (PREVSAM). A qualitative study was conducted, with individual semi-structured interviews analysed using qualitative content analysis. Fifteen patients from three primary care rehabilitation clinics in Sweden who had undergone rehabilitation based on the PREVSAM model participated. Four categories were identified from the participants’ experiences: Gratitude for the holistic view, Challenging but clarifying to create a health plan, Different needs for addressing work-related factors, and Difficulties and negative experiences. From these categories, an overarching theme was conceptualised: <i>Grateful for being seen for who I am and given the care I need</i>. Participants were generally positive towards the PREVSAM model. The addition of occupational therapy and psychological treatment to physiotherapy was seen by many, albeit not all, as enriching the rehabilitation. Collaboration with the workplace was mainly considered ‘good in theory’. The wide variation in the need for support underscore the importance of person-centredness.
DOI: 10.6084/m9.figshare.28104115.v1
title: They paid attention to the whole of me in some way, both physically, mentally, and everything in between: a qualitative study of patients’ experiences of interdisciplinary rehabilitation (PREVSAM) in primary care for musculoskeletal disorders

description: To explore and describe patients’ experiences and perceptions of rehabilitation according to the rehabilitation model ‘Prevention of sickness absence through early identification and rehabilitation of at-risk patients with musculoskeletal pain’ (PREVSAM). A qualitative study was conducted, with individual semi-structured interviews analysed using qualitative content analysis. Fifteen patients from three primary care rehabilitation clinics in Sweden who had undergone rehabilitation based on the PREVSAM model participated. Four categories were identified from the participants’ experiences: Gratitude for the holistic view, Challenging but clarifying to create a health plan, Different needs for addressing work-related factors, and Difficulties and negative experiences. From these categories, an overarching theme was conceptualised: <i>Grateful for being seen for who I am and given the care I need</i>. Participants were generally positive towards the PREVSAM model. The addition of occupational therapy and psychological treatment to physiotherapy was seen by many, albeit not all, as enriching the rehabilitation. Collaboration with the workplace was mainly considered ‘good in theory’. The wide variation in the need for support underscore the importance of person-centredness.
DOI: 10.6084/m9.figshare.28581522
title: Patients’ experiences with GLP1-RAs – a systematic review

description: Obesity is a complex condition and a recognized public health challenge. Previous treatment options were associated with high failure rates, but recent trials have shown that significant weight loss can be achieved with GLP1-RAs. However, little is known about the patient’s experiences with GLP1-RAs. This paper systematically reviews research on patients’ experience with GLP1-RAs. A literature search in PubMed, PsycINFO, Embase and Sociological Abstracts included studies on adults’ experiences with GLP1-RAs, regardless of methodology. Exclusions of studies: mental illness, pregnancy, former bariatric surgery, PCOS. Study quality and transparency were assessed according to design, using thematic analysis for synthesis. Nine studies, selected from 7,607 records, encompassed three qualitative studies (semi-structured interviews), three RCTs, two narrative reviews and one survey study. The analysis identified five key themes: (1) Patients are willing to accept adverse events, like gastrointestinal disorders, for successful weight loss, (2) Patients experience improved physical functioning, well-being, and active daily living as a result of weight loss, (3) Patients express diverse opinions and skills regarding the medication’s usability, (4) Patients believe that the medication improves their ability to manage sweet cravings, (5) Gender seems to affect patients’ experiences with the medication, with females reporting more benefits than males. Despite a huge demand and usage of GLP1-RAs, qualitative research on patients’ experiences is scarce. Further studies are crucial for understanding short and long-term patient experiences.
DOI: 10.6084/m9.figshare.28581522.v1
title: Patients’ experiences with GLP1-RAs – a systematic review

description: Obesity is a complex condition and a recognized public health challenge. Previous treatment options were associated with high failure rates, but recent trials have shown that significant weight loss can be achieved with GLP1-RAs. However, little is known about the patient’s experiences with GLP1-RAs. This paper systematically reviews research on patients’ experience with GLP1-RAs. A literature search in PubMed, PsycINFO, Embase and Sociological Abstracts included studies on adults’ experiences with GLP1-RAs, regardless of methodology. Exclusions of studies: mental illness, pregnancy, former bariatric surgery, PCOS. Study quality and transparency were assessed according to design, using thematic analysis for synthesis. Nine studies, selected from 7,607 records, encompassed three qualitative studies (semi-structured interviews), three RCTs, two narrative reviews and one survey study. The analysis identified five key themes: (1) Patients are willing to accept adverse events, like gastrointestinal disorders, for successful weight loss, (2) Patients experience improved physical functioning, well-being, and active daily living as a result of weight loss, (3) Patients express diverse opinions and skills regarding the medication’s usability, (4) Patients believe that the medication improves their ability to manage sweet cravings, (5) Gender seems to affect patients’ experiences with the medication, with females reporting more benefits than males. Despite a huge demand and usage of GLP1-RAs, qualitative research on patients’ experiences is scarce. Further studies are crucial for understanding short and long-term patient experiences.
DOI: 10.6084/m9.figshare.27950139
title: A systems perspective on gaps in the person-centered sick leave and rehabilitation process: a Swedish interview study

description: Consensus on priorities to optimize the sick leave and rehabilitation process (SRP) is lacking. To explore perspectives of stakeholders in the SRP on bridging the gap between desired process scope, and actual practice, from a multi-professional, multi-organizational, and interdisciplinary approach. Focus group interviews were conducted with various SRP frontline professionals in Region Västra Götaland, Sweden, using purposive sampling to capture a range of experiences. Participants discussed their perceptions of critical changes and priorities needed to meet patients’ SRP needs in a primary care context. All interviews were analyzed using systematic text condensation, as described by Malterud. General practitioners (<i>n</i> = 6), rehabilitation coordinators and licensed healthcare professionals from primary healthcare (<i>n</i> = 13), administrators from the Social Insurance Agency, the Employment Agency and Social Services (<i>n</i> = 12). Through data analysis, the following themes emerged: 1) The need for rules and regulations to enable coherent process governance 2) Challenges and opportunities in person-centered SRP: Professional collaboration, organizational priorities, and the need for enhanced leadership, and 3) Balancing resources and patient needs in the SRP: How to improve care quality and accessibility. In summary, participants mainly discussed how to improve process efficiency and quality of care while balancing available resources and a heavy workload. A main goal was to prevent negative spirals of suboptimal decision-making in individual cases, which could lead to increased work, unfortunate outcomes, and patient suffering. This qualitative study indicated that gaps between a desired process scope and actual practice might be bridged by enabling coherent cross-organizational process governance, prioritizing person-centered ways of working, and balancing available resources and workload. The above changes were believed to improve process quality and overall efficiency. The study project plan was pre-registered on September 21st, 2020, in the database FOU i VGR (researchweb.org), project number 274941.