cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30837224.v1
title: Supplementary Material for: Why is neonatal evidence mainly very low or low certainty - a meta-epidemiological review of Cochrane Neonatal reviews

description: Objective: To analyze for which reasons the certainty of evidence was downgraded in neonatal Cochrane reviews.
Methods: We performed a systematic meta-epidemiological review for Cochrane neonatal reviews published in 2022-2024. The search was performed in January 2025, and all reviews were screened by two authors. We extracted the information from the summary of findings tables. As the main outcome we compared the reasons for downgrading per evidence certainty categories. Secondary outcomes included the analysis of null effects and comparison of confidence interval width. Chi2 was used to analyze the categorized variables.
Results: We included 54 reviews with 467 outcomes of which evidence certainty wasrated very low (35%), low (43%), moderate (20%), and high (2%). Imprecision and risk of bias were the most frequent reasons for downgrading certainty of evidence (p&lt;0.001). Outcomes with effect estimates including the null were more often downgraded for imprecision, whereas outcomes without null effects were more often downgraded for risk of bias. A strong association was observed between certainty level and null effects: very low certainty evidence most often included the null effect, followed sequentially by low, moderate, and high certainty evidence (p&lt;0.001). Among dichotomous outcomes, wide confidence intervals were the predominant driver of imprecision, with CI width clearly associated both with certainty categories and with the frequency of downgrading due to imprecision.
Conclusion: The neonatal evidence was mainly limited due to imprecision and risk of bias. This indicates that larger scale high-quality studies in various neonatal topics are still greatly warranted.
DOI: 10.60635/c3q61w
title: Monthly Summary_BCI, horizontal

description: Barro Colorado Island (BCI)Yearly, monthly and daily summary organized in horizontal format for seasonal and inter-year comparisonsContains interval average/maximum/minimum/variance statistics plus summary graphsLocation 9°9'42.36"N, 79°50'15.67"WParameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season, starting dates.Lutz catchment is a 9.73ha protected watershed on BCI. The Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48m. The data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy. The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_Summary_BCI_horizontal/10059455
DOI: 10.6084/m9.figshare.30837227
title: Supplementary Material for: Understanding the Drivers and Cost Impact of Traditional Medicine Use for Stroke Rehabilitation in India: Insights from the ATTEND Trial

description: Background: Traditional medicines are used to meet a variety of health needs by people across India but few data exist for their use by those affected by stroke. We aimed to the prevalence, costs and determinants of traditional medicines used by patients with stroke, and in relation to defined socio-demographic characteristics.

Methods: This study presents a post-hoc analysis of the Family-led Rehabilitation after Stroke in India (ATTEND), a multicentre, prospective, randomised, open blinded endpoint (PROBE) trial conduced at 14 hospitals in India. Data were obtained on the use of non-modern medical treatments and associated financial implications. Multivariable logistic regression was used to identify the predictors of traditional medicine use and reported as odds ratio (aOR) and 95% confidence intervals (CI). Financial impacts and their 95% uncertainty intervals were estimated for all new stroke cases in 2022 (80 INR= 1 USD).

Results: Of 1,250 randomised participants, 968 had sufficient data for analysis [Age 57.7(13.6) years]. The overall prevalence of traditional medicine use was 21.1%. Lower use of traditional medicine was associated with high school/college education (aOR 0.55, 95% CI 0.30,0.98) and mild neurological severity (National Institutes of Health Stroke Scale [NIHSS] score &lt;5; aOR 0.32, 95% CI 0.14, 0.72). There was no significant association with age (aOR 1.76, 95% CI 0.85, 3.64), unemployment (aOR 2.16, 95% CI 0.99, 4.74), pre-stroke dependency (aOR 1.96, 95% CI 0.46, 8.36) and living accommodation (aOR 1.13, 95% CI 0.53, 2.41). We calculated that traditional medicine costs US$ 67 million annually: a higher cost burden among men (US$ 36 million) compared to women (US$ 31 million; 80 INR= 1 USD). 

Conclusions: Our study indicates that one in five patients used traditional medicine following acute stroke in India, with significant financial bearings on individuals and their families. There is greater use in those with more severe strokes and with lower education. More evidence is required on the efficacy of traditional medicines and their role in the health care system.
DOI: 10.6084/m9.figshare.30837227.v1
title: Supplementary Material for: Understanding the Drivers and Cost Impact of Traditional Medicine Use for Stroke Rehabilitation in India: Insights from the ATTEND Trial

description: Background: Traditional medicines are used to meet a variety of health needs by people across India but few data exist for their use by those affected by stroke. We aimed to the prevalence, costs and determinants of traditional medicines used by patients with stroke, and in relation to defined socio-demographic characteristics.

Methods: This study presents a post-hoc analysis of the Family-led Rehabilitation after Stroke in India (ATTEND), a multicentre, prospective, randomised, open blinded endpoint (PROBE) trial conduced at 14 hospitals in India. Data were obtained on the use of non-modern medical treatments and associated financial implications. Multivariable logistic regression was used to identify the predictors of traditional medicine use and reported as odds ratio (aOR) and 95% confidence intervals (CI). Financial impacts and their 95% uncertainty intervals were estimated for all new stroke cases in 2022 (80 INR= 1 USD).

Results: Of 1,250 randomised participants, 968 had sufficient data for analysis [Age 57.7(13.6) years]. The overall prevalence of traditional medicine use was 21.1%. Lower use of traditional medicine was associated with high school/college education (aOR 0.55, 95% CI 0.30,0.98) and mild neurological severity (National Institutes of Health Stroke Scale [NIHSS] score &lt;5; aOR 0.32, 95% CI 0.14, 0.72). There was no significant association with age (aOR 1.76, 95% CI 0.85, 3.64), unemployment (aOR 2.16, 95% CI 0.99, 4.74), pre-stroke dependency (aOR 1.96, 95% CI 0.46, 8.36) and living accommodation (aOR 1.13, 95% CI 0.53, 2.41). We calculated that traditional medicine costs US$ 67 million annually: a higher cost burden among men (US$ 36 million) compared to women (US$ 31 million; 80 INR= 1 USD). 

Conclusions: Our study indicates that one in five patients used traditional medicine following acute stroke in India, with significant financial bearings on individuals and their families. There is greater use in those with more severe strokes and with lower education. More evidence is required on the efficacy of traditional medicines and their role in the health care system.
DOI: 10.15468/dl.96526w
title: Occurrence Download

description: A dataset containing 3076 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia purpurea"
 ]
}

 The dataset includes 3076 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041314-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3kc9d
title: Monthly Summary_BCI, Vertical

description: Barro Colorado Island (BCI)Yearly, monthly and daily summary organized in vertical format for long-term trend analysisContains interval average/maximum/minimum/variance statistics plus summary graphsLocation 9°9'42.36"N, 79°50'15.67"WLutz catchment is a 9.73ha protected watershed on BCI. The Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48mThe data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy. The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972 and consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season starting datesHistorical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_Summary_BCI_Vertical/10059458
DOI: 10.5281/zenodo.17849458
title: Multi-Agentic AI Framework for End-to-End Atomistic Simulations

description: The complete set of simulation data generated by the agent, together with the chat logs of the full workflow and the outputs of the human expert simulations
DOI: 10.5281/zenodo.17849459
title: Multi-Agentic AI Framework for End-to-End Atomistic Simulations

description: The complete set of simulation data generated by the agent, together with the chat logs of the full workflow and the outputs of the human expert simulations
DOI: 10.5281/zenodo.16341193
title: REGENIE results of brain IDP GWAS (Part 21)

description: ○ md5sum i2_marginal_20241220_all_afr_n1_l_vol_nln.regenie.gz99e10f32adf9a236cb9a186053a863a2  i2_marginal_20241220_all_afr_n1_l_vol_nln.regenie.gz

○ md5sum i2_marginal_20241220_all_afr_sn_r_vol_nln.regenie.gzf9bf804b8c69c1038b8ecdbd6cc6d9dd  i2_marginal_20241220_all_afr_sn_r_vol_nln.regenie.gz

○ md5sum i2_marginal_20241220_all_afr_step2.zip726c4ff25166a5f117b58613ddd545db  i2_marginal_20241220_all_afr_step2.zip

❯ md5sum single_20241220_eur_female_*.gzc1cfd1e8bc1782534598aa5a76854dcc  single_20241220_eur_female_diff_l_qsm.regenie.gz5d61f34bb692b465ea4b87eae7c194a8  single_20241220_eur_female_diff_l_swi.regenie.gzbbb3fdfc9cc0ef920c7d58020bbf1d3b  single_20241220_eur_female_diff_l_vol.regenie.gz5da085be0e0635bb8ded737cefa9c1bf  single_20241220_eur_female_diff_r_qsm.regenie.gz3167ce101f18035af2fe541e324fcbc1  single_20241220_eur_female_diff_r_swi.regenie.gz5038bcd6fc293ef3db6cee720f5fc64b  single_20241220_eur_female_diff_r_vol.regenie.gz49defdb24cb9dcd16799f0c15c5b47d8  single_20241220_eur_female_frac_l_qsm.regenie.gzc49c50df16f7e07c93d257bdf1d9cda9  single_20241220_eur_female_frac_l_swi.regenie.gz2243d069295d416a2ce7e2b72b7a10f6  single_20241220_eur_female_frac_l_vol.regenie.gz3a8e65d6eb77dd6b169076c53a297cae  single_20241220_eur_female_frac_r_qsm.regenie.gz06e4cac5a8c371e5201b52823d96c601  single_20241220_eur_female_frac_r_swi.regenie.gz76280a2feb98ecebd6081ab9d621f12f  single_20241220_eur_female_frac_r_vol.regenie.gzc31614ebf34fa1563037ef89954bb947  single_20241220_eur_female_lc_qsm_50th.regenie.gzb78940d5bc8d61a16bdcb9c6e19db0a8  single_20241220_eur_female_lc_swi_50th.regenie.gz5048ef7359663eac7943255f533689bb  single_20241220_eur_female_lc_vol_nln.regenie.gz28eaccb204fc5898588ad442f22408ce  single_20241220_eur_female_n1_l_qsm_50th.regenie.gz67464a4ebbf0b86cef53903d317e10e4  single_20241220_eur_female_n1_l_swi_50th.regenie.gzbde811e7d0e389688391ca6dc90d5348  single_20241220_eur_female_n1_l_vol_nln.regenie.gzfa19da6796accc86392b95036aa3c94f  single_20241220_eur_female_n1_r_qsm_50th.regenie.gze1e4359ccd1c2c831670874a726a1a75  single_20241220_eur_female_n1_r_swi_50th.regenie.gzde4eb0f3c3b8e6c8c17039073853413c  single_20241220_eur_female_n1_r_vol_nln.regenie.gz07dee1e53f271dc0f04189eebfc14530  single_20241220_eur_female_sn_l_qsm_50th.regenie.gz7822c30d2bb4ecc0d010914a50f42e6f  single_20241220_eur_female_sn_l_swi_50th.regenie.gz77416860f1cafd66cebed91907cf52d1  single_20241220_eur_female_sn_l_vol_nln.regenie.gzdb57cc8cbb269821a753b59cad0ad5cd  single_20241220_eur_female_sn_r_qsm_50th.regenie.gzdd936317f4e7f804b50a8fad55789c34  single_20241220_eur_female_sn_r_swi_50th.regenie.gzeaca88c4a4bac2dab98a2e06849936c4  single_20241220_eur_female_sn_r_vol_nln.regenie.gz
DOI: 10.5281/zenodo.16341194
title: REGENIE results of brain IDP GWAS (Part 21)

description: ○ md5sum i2_marginal_20241220_all_afr_n1_l_vol_nln.regenie.gz99e10f32adf9a236cb9a186053a863a2  i2_marginal_20241220_all_afr_n1_l_vol_nln.regenie.gz

○ md5sum i2_marginal_20241220_all_afr_sn_r_vol_nln.regenie.gzf9bf804b8c69c1038b8ecdbd6cc6d9dd  i2_marginal_20241220_all_afr_sn_r_vol_nln.regenie.gz

○ md5sum i2_marginal_20241220_all_afr_step2.zip726c4ff25166a5f117b58613ddd545db  i2_marginal_20241220_all_afr_step2.zip

❯ md5sum single_20241220_eur_female_*.gzc1cfd1e8bc1782534598aa5a76854dcc  single_20241220_eur_female_diff_l_qsm.regenie.gz5d61f34bb692b465ea4b87eae7c194a8  single_20241220_eur_female_diff_l_swi.regenie.gzbbb3fdfc9cc0ef920c7d58020bbf1d3b  single_20241220_eur_female_diff_l_vol.regenie.gz5da085be0e0635bb8ded737cefa9c1bf  single_20241220_eur_female_diff_r_qsm.regenie.gz3167ce101f18035af2fe541e324fcbc1  single_20241220_eur_female_diff_r_swi.regenie.gz5038bcd6fc293ef3db6cee720f5fc64b  single_20241220_eur_female_diff_r_vol.regenie.gz49defdb24cb9dcd16799f0c15c5b47d8  single_20241220_eur_female_frac_l_qsm.regenie.gzc49c50df16f7e07c93d257bdf1d9cda9  single_20241220_eur_female_frac_l_swi.regenie.gz2243d069295d416a2ce7e2b72b7a10f6  single_20241220_eur_female_frac_l_vol.regenie.gz3a8e65d6eb77dd6b169076c53a297cae  single_20241220_eur_female_frac_r_qsm.regenie.gz06e4cac5a8c371e5201b52823d96c601  single_20241220_eur_female_frac_r_swi.regenie.gz76280a2feb98ecebd6081ab9d621f12f  single_20241220_eur_female_frac_r_vol.regenie.gzc31614ebf34fa1563037ef89954bb947  single_20241220_eur_female_lc_qsm_50th.regenie.gzb78940d5bc8d61a16bdcb9c6e19db0a8  single_20241220_eur_female_lc_swi_50th.regenie.gz5048ef7359663eac7943255f533689bb  single_20241220_eur_female_lc_vol_nln.regenie.gz28eaccb204fc5898588ad442f22408ce  single_20241220_eur_female_n1_l_qsm_50th.regenie.gz67464a4ebbf0b86cef53903d317e10e4  single_20241220_eur_female_n1_l_swi_50th.regenie.gzbde811e7d0e389688391ca6dc90d5348  single_20241220_eur_female_n1_l_vol_nln.regenie.gzfa19da6796accc86392b95036aa3c94f  single_20241220_eur_female_n1_r_qsm_50th.regenie.gze1e4359ccd1c2c831670874a726a1a75  single_20241220_eur_female_n1_r_swi_50th.regenie.gzde4eb0f3c3b8e6c8c17039073853413c  single_20241220_eur_female_n1_r_vol_nln.regenie.gz07dee1e53f271dc0f04189eebfc14530  single_20241220_eur_female_sn_l_qsm_50th.regenie.gz7822c30d2bb4ecc0d010914a50f42e6f  single_20241220_eur_female_sn_l_swi_50th.regenie.gz77416860f1cafd66cebed91907cf52d1  single_20241220_eur_female_sn_l_vol_nln.regenie.gzdb57cc8cbb269821a753b59cad0ad5cd  single_20241220_eur_female_sn_r_qsm_50th.regenie.gzdd936317f4e7f804b50a8fad55789c34  single_20241220_eur_female_sn_r_swi_50th.regenie.gzeaca88c4a4bac2dab98a2e06849936c4  single_20241220_eur_female_sn_r_vol_nln.regenie.gz
DOI: 10.15468/dl.peszv2
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kohautia confusa",
 "Continent is Africa"
 ]
}

 The dataset includes 86 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041316-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/aquyar
title: PAN-00127701 - coin/coin-related, Constantinus' zonen (337-361), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00127701&lt;/p&gt;
description: Modified: 2025-10-21T11:28:02+02:00
DOI: 10.15468/dl.cwkf96
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.051 1.521182, 99.98071299999999 1.515614, 99.91215699999999 1.499047, 99.847022 1.47189, 99.786911 1.434811, 99.733307 1.388723, 99.687527 1.334763, 99.6507 1.274259, 99.623732 1.208701, 99.607285 1.139704, 99.601765 1.068967, 99.607305 0.998231, 99.62376999999999 0.929239, 99.65075299999999 0.863688, 99.68759 0.803193, 99.733372 0.749243, 99.786974 0.703166, 99.847075 0.666095, 99.912195 0.638945, 99.980733 0.622383, 100.051 0.616816, 100.121267 0.622383, 100.189805 0.638945, 100.254925 0.666095, 100.315026 0.703166, 100.368628 0.749243, 100.41441 0.803193, 100.451247 0.863688, 100.47823 0.929239, 100.494695 0.998231, 100.500235 1.068967, 100.494715 1.139704, 100.478268 1.208701, 100.4513 1.274259, 100.414473 1.334763, 100.368693 1.388723, 100.315089 1.434811, 100.254978 1.47189, 100.189843 1.499047, 100.121287 1.515614, 100.051 1.521182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041318-251120083545085/datasets/export for details.
DOI: 10.15468/dl.yumd4w
title: Occurrence Download

description: A dataset containing 8683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((149.814917 -32.269561, 149.775009 -32.230697, 149.725106 -32.230697, 149.765001 -32.269561, 149.814917 -32.269561))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8683 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041319-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k8ec2
title: Occurrence Download

description: A dataset containing 4401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Hymenaea courbaril"
 ]
}

 The dataset includes 4401 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041317-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvk7sv
title: Occurrence Download

description: A dataset containing 6502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psamathe fusca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6502 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041321-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2316263
title: Nitrate-Nitrogen Concentrations in the Northern Guam Lens and Potential Nitrogen Sources

description: This data package was created 2025-12-03 09:02:38 by NPSTORET and includes selected project, location, and result data.  Data are from Mauryn Quenga McDonald's (University of Guam Water and Environmental Research Institute) 2002 Technical Report #95 entitled "Nitrate-Nitrogen Concentrations in the Northern Guam Lens and Potential Nitrogen Sources".  The purpose of this study was to provide managers, regulators, and lawmakers with information on where Northern Guam Lens well nitrate-nitrogen (NO3-N) concentrations are increasing or are already relatively high, and possible anthropogenic sources of NO3-N or forms of nitrogen that may be converted to NO3-N.

Data contained in WAPA_NPSTORET_BE.ACCDB (NPSTORET back-end file) were filtered to include:

Organization:
- WAPA: War in the Pacific National Historical Park
Project:
- WAPA0015: Nitrate-Nitrogen Concentrations in the Northern Guam Lens and Potential Nitrogen Sources
Station:
- Include Trip QC And All Station Visit Results
Value Status:
- Accepted or Certified (exported as Final) or Final

The data package is organized into five data tables:
- Projects.csv - describes the purpose and background of the monitoring efforts
- Locations.csv - documents the attributes of the monitoring locations/stations
- Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping
- HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations data table
- Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results

Period of record for filtered data is 1986-03-01 to 2000-02-01.  This data package is a snapshot in time of one National Park Service project. The most current data for this project, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at:

https://www.waterqualitydata.us/data/Result/search?project=WAPA0015&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET