cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3x7bcq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Macao, Hong Kong, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mimosa invisa",
 "Year 1950-2025"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003081-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c4jcq
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rhabdophis swinhonis"
 ]
}

 The dataset includes 190 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003087-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w2yun
title: Occurrence Download

description: A dataset containing 1376 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-70.842 5.483147, -70.912583 5.477576, -70.981425 5.461002, -71.046826 5.433833, -71.107174 5.39674, -71.16098100000001 5.350637, -71.206923 5.296662, -71.24386699999999 5.236145, -71.27090800000001 5.170579, -71.28738 5.101579, -71.292883 5.030844, -71.287284 4.960117, -71.270725 4.891138, -71.243616 4.825605, -71.206627 4.765132, -71.16067 4.711204, -71.10687799999999 4.665149, -71.04657400000001 4.628098, -70.98124199999999 4.600963, -70.912487 4.58441, -70.842 4.578847, -70.771513 4.58441, -70.702758 4.600963, -70.637426 4.628098, -70.577122 4.665149, -70.52333 4.711204, -70.477373 4.765132, -70.44038399999999 4.825605, -70.413275 4.891138, -70.396716 4.960117, -70.39111699999999 5.030844, -70.39662 5.101579, -70.41309200000001 5.170579, -70.440133 5.236145, -70.47707699999999 5.296662, -70.52301900000001 5.350637, -70.576826 5.39674, -70.637174 5.433833, -70.702575 5.461002, -70.771417 5.477576, -70.842 5.483147))"},{"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 1376 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003088-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18329887
title: Stachytarpheta cayennensis (Rich.) Vahl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18329888
title: Stachytarpheta cayennensis (Rich.) Vahl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5066/p1fxe9gk
title: Geochemical data for rock, sediment, soil, and mineral samples, United States and territories, 1962 to 2023

description: The data set contains geochemical data for 1,524,014 rock, sediment, soil, and mineral samples collected by the U.S. Geological Survey within US state, territory or Economic Exclusive Zone (EEZ) boundaries, and analyzed from 1962 through 2023 either in the analytical laboratories of the Geologic Discipline of the USGS or by contract with commercial analytical laboratories. These data represent analysis of samples collected in support of various USGS programs and projects. Retrievals from the legacy National Geochemical Database (NGDB-Legacy), the USGS Mineral Resources Program laboratory information management system (LIMS), the NURE National Uranium Resource Evaluation-Hydrogeochemical and Stream Sediment Reconnaissance databases (NURE-HSSR), and the Alaska Geochemical Database Version 4.0 (AGDB4) were used to generate a relational database. The tables in the database describe quantitative and qualitative geochemical analyses, including analytical results determined by 108 laboratory and field analytical methods in 25 laboratories.
DOI: 10.15468/dl.wqp2mj
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Horabagrus brachysoma",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003089-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcfak9
title: Occurrence Download

description: A dataset containing 18009 records in GBIF matching the query:
SELECT
 '23' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -33.06103686093294
 AND decimalLatitude &lt;= -28.773895969281842
 AND decimalLongitude &gt;= 16.23900266428802
 AND decimalLongitude &lt;= 22.26446617346981
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 18009 records were derived from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003083-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdg6qk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.992 1.98518, 100.921695 1.979612, 100.853123 1.963044, 100.787973 1.935885, 100.727849 1.898804, 100.674234 1.852715, 100.628447 1.798752, 100.591615 1.738247, 100.564645 1.672687, 100.5482 1.60369, 100.542683 1.532953, 100.548229 1.462218, 100.564701 1.393227, 100.591692 1.327678, 100.628537 1.267185, 100.674328 1.213237, 100.727939 1.167162, 100.788049 1.130094, 100.853178 1.102945, 100.921724 1.086384, 100.992 1.080818, 101.062276 1.086384, 101.130822 1.102945, 101.195951 1.130094, 101.256061 1.167162, 101.309672 1.213237, 101.355463 1.267185, 101.392308 1.327678, 101.419299 1.393227, 101.435771 1.462218, 101.441317 1.532953, 101.4358 1.60369, 101.419355 1.672687, 101.392385 1.738247, 101.355553 1.798752, 101.309766 1.852715, 101.256151 1.898804, 101.196027 1.935885, 101.130877 1.963044, 101.062305 1.979612, 100.992 1.98518))"},{"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/0003090-260120142942310/datasets/export for details.
DOI: 10.15468/dl.wm4ynm
title: Occurrence Download

description: A dataset containing 1826480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Engraulis ringens)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1826480 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003063-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g62v8g
title: Occurrence Download

description: A dataset containing 2356 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-71.95999999999999 5.540146, -72.03059 5.534575, -72.09943800000001 5.518001, -72.164845 5.490832, -72.225199 5.453738, -72.279011 5.407635, -72.324956 5.35366, -72.361904 5.293144, -72.388946 5.227577, -72.40542000000001 5.158577, -72.410923 5.087842, -72.405323 5.017115, -72.388761 4.948137, -72.361649 4.882604, -72.324657 4.822131, -72.278696 4.768204, -72.22490000000001 4.722149, -72.164591 4.685098, -72.099253 4.657963, -72.03049300000001 4.641411, -71.95999999999999 4.635848, -71.88950699999999 4.641411, -71.820747 4.657963, -71.755409 4.685098, -71.6951 4.722149, -71.64130400000001 4.768204, -71.595343 4.822131, -71.558351 4.882604, -71.531239 4.948137, -71.51467700000001 5.017115, -71.509077 5.087842, -71.51458 5.158577, -71.531054 5.227577, -71.55809600000001 5.293144, -71.595044 5.35366, -71.640989 5.407635, -71.694801 5.453738, -71.755155 5.490832, -71.820562 5.518001, -71.88941 5.534575, -71.95999999999999 5.540146))"},{"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 2356 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003091-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/1det-0682
title: Data used in Nimbus paper: YSES-1c
DOI: 10.15468/dl.h2vm92
title: Occurrence Download

description: A dataset containing 1395216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salmo salar)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1395216 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003065-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cp7hw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.434 1.99018, 100.363695 1.984612, 100.295123 1.968044, 100.229972 1.940885, 100.169849 1.903804, 100.116233 1.857715, 100.070446 1.803752, 100.033614 1.743246, 100.006644 1.677687, 99.990199 1.60869, 99.98468200000001 1.537952, 99.990228 1.467218, 100.0067 1.398226, 100.033691 1.332678, 100.070536 1.272185, 100.116328 1.218237, 100.169939 1.172162, 100.230049 1.135094, 100.295178 1.107945, 100.363724 1.091384, 100.434 1.085818, 100.504276 1.091384, 100.572822 1.107945, 100.637951 1.135094, 100.698061 1.172162, 100.751672 1.218237, 100.797464 1.272185, 100.834309 1.332678, 100.8613 1.398226, 100.877772 1.467218, 100.883318 1.537952, 100.877801 1.60869, 100.861356 1.677687, 100.834386 1.743246, 100.797554 1.803752, 100.751767 1.857715, 100.698151 1.903804, 100.638028 1.940885, 100.572877 1.968044, 100.504305 1.984612, 100.434 1.99018))"},{"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/0003092-260120142942310/datasets/export for details.
DOI: 10.15468/dl.6bh2fm
title: Occurrence Download

description: A dataset containing 2501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is Royal Ontario Museum - Entomology Collection",
 "TaxonKey is Ephemeroptera"
 ]
}

 The dataset includes 2501 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003093-260120142942310/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.30508471
title: Association between Onodera’s prognostic nutritional Index and ultrasound-measured muscle thickness in amyotrophic lateral sclerosis: a retrospective cross-sectional study

description: Amyotrophic lateral sclerosis (ALS) causes progressive muscle wasting. Ultrasound-measured thickness captures this loss. Nutritional status influences ALS prognosis, yet the link between Onodera’s Prognostic Nutritional Index (OPNI) and muscle thickness is unclear. To assess whether OPNI correlates with thickness of the first dorsal interosseous (FDI), biceps brachii (BB) and masseter (MM) muscles, and to judge OPNI’s utility as a practical nutrition marker in ALS. In this retrospective study of 150 ALS patients, ultrasound quantified FDI, BB and MM thickness. Patients were stratified by OPNI quartile. Group differences were tested with ANOVA/Kruskal–Wallis. Multivariable generalized linear models, adjusting for age, sex, ALSFRS-R, King’s stage, comorbidities and lifestyle factors, examined independent associations; restricted cubic splines probed non-linearity. Muscle thickness rose progressively across OPNI quartiles (<i>p</i> &lt; 0.05 for trend). After full adjustment, each 1-point OPNI increase predicted 0.008 cm thicker FDI (95% CI 0.003–0.014; <i>p</i> = 0.004), 0.022 cm thicker BB (95% CI 0.005–0.039; <i>p</i> = 0.011) and 0.011 cm thicker MM (95% CI 0.002–0.020; <i>p</i> = 0.013). Spline analysis supported a linear relationship. Higher OPNI independently predicts greater muscle thickness, indicating that better nutritional status parallels reduced muscle wasting in ALS. OPNI’s low cost and rapid availability support its use to flag patients for early nutritional intervention.
DOI: 10.6084/m9.figshare.30508471.v1
title: Association between Onodera’s prognostic nutritional Index and ultrasound-measured muscle thickness in amyotrophic lateral sclerosis: a retrospective cross-sectional study

description: Amyotrophic lateral sclerosis (ALS) causes progressive muscle wasting. Ultrasound-measured thickness captures this loss. Nutritional status influences ALS prognosis, yet the link between Onodera’s Prognostic Nutritional Index (OPNI) and muscle thickness is unclear. To assess whether OPNI correlates with thickness of the first dorsal interosseous (FDI), biceps brachii (BB) and masseter (MM) muscles, and to judge OPNI’s utility as a practical nutrition marker in ALS. In this retrospective study of 150 ALS patients, ultrasound quantified FDI, BB and MM thickness. Patients were stratified by OPNI quartile. Group differences were tested with ANOVA/Kruskal–Wallis. Multivariable generalized linear models, adjusting for age, sex, ALSFRS-R, King’s stage, comorbidities and lifestyle factors, examined independent associations; restricted cubic splines probed non-linearity. Muscle thickness rose progressively across OPNI quartiles (<i>p</i> &lt; 0.05 for trend). After full adjustment, each 1-point OPNI increase predicted 0.008 cm thicker FDI (95% CI 0.003–0.014; <i>p</i> = 0.004), 0.022 cm thicker BB (95% CI 0.005–0.039; <i>p</i> = 0.011) and 0.011 cm thicker MM (95% CI 0.002–0.020; <i>p</i> = 0.013). Spline analysis supported a linear relationship. Higher OPNI independently predicts greater muscle thickness, indicating that better nutritional status parallels reduced muscle wasting in ALS. OPNI’s low cost and rapid availability support its use to flag patients for early nutritional intervention.
DOI: 10.6084/m9.figshare.29640353
title: The evaluation of inflammatory and immune composite markers for complications after deceased donor liver transplantation – a retrospective cohort study

description: Inflammation-immune composite markers have been increasingly investigated in various diseases, but their value in the setting of deceased donor liver transplantation remains insufficiently investigate. A retrospective cohort study was conducted on deceased donor liver transplant recipients at Zunyi Medical University. Univariate and multivariate logistic regression analyses identified independent risk factors for major complications. A nomogram was constructed based on these factors. Model performance was evaluated using ROC curve, calibration curve, decision curve analysis, and clinical impact curve. Preoperative factors such as donor age, MLR, Anhepatic, Total Cholesterol, CIT, CAR, Lactate, and SII were identified as independent risk factors for postoperative complications with CD ≥ III but &lt; IV, as well as CD ≥ IV complications. The Nomogram based on these results demonstrated good predictive ability and stability in the Bootstrap validation. Preoperative MLR and SII showed good predictive ability for postoperative complications graded as CD ≥ III but &lt; IV, while CAR was predictive of CD ≥ IV complications and was associated with EAD and prolonged ICU stay. MLR was an independent risk factor for 90-day postoperative mortality. The nomogram of major outcomes requires further validation in multi-center studies.
DOI: 10.6084/m9.figshare.29640353.v1
title: The evaluation of inflammatory and immune composite markers for complications after deceased donor liver transplantation – a retrospective cohort study

description: Inflammation-immune composite markers have been increasingly investigated in various diseases, but their value in the setting of deceased donor liver transplantation remains insufficiently investigate. A retrospective cohort study was conducted on deceased donor liver transplant recipients at Zunyi Medical University. Univariate and multivariate logistic regression analyses identified independent risk factors for major complications. A nomogram was constructed based on these factors. Model performance was evaluated using ROC curve, calibration curve, decision curve analysis, and clinical impact curve. Preoperative factors such as donor age, MLR, Anhepatic, Total Cholesterol, CIT, CAR, Lactate, and SII were identified as independent risk factors for postoperative complications with CD ≥ III but &lt; IV, as well as CD ≥ IV complications. The Nomogram based on these results demonstrated good predictive ability and stability in the Bootstrap validation. Preoperative MLR and SII showed good predictive ability for postoperative complications graded as CD ≥ III but &lt; IV, while CAR was predictive of CD ≥ IV complications and was associated with EAD and prolonged ICU stay. MLR was an independent risk factor for 90-day postoperative mortality. The nomogram of major outcomes requires further validation in multi-center studies.
DOI: 10.5281/zenodo.18329960
title: MIxS: Minimum Information about any (x) Sequence

description: The Minimum Information about any (x) Sequence (MIxS) specification is a set of community-developed standards for describing sequences and their associated metadata. MIxS provides checklists and environmental extensions to ensure that sequence data is accompanied by standardized contextual information, enabling data discovery, comparison, and integration across studies.
DOI: 10.6084/m9.figshare.30327472
title: First-line treatment with polatuzumab vedotin improves efficacy and survival in newly diagnosed patients with advanced diffuse large B-cell lymphoma: a multicentre retrospective analysis

description: Polatuzumab vedotin (Pola) is an anti-CD79b monoclonal antibody–drug conjugate that has shown remarkable efficacy and safety in diffuse large B-cell lymphoma (DLBCL) patients. Based on the results of the phase III POLARIX trial, it has been approved for first-line treatment of DLBCL. However, real-world studies are limited, particularly those assessing the efficacy differences between Pola-based regimens and traditional chemotherapy. This multicenter retrospective study analyzed clinical data from 64 newly diagnosed patients with advanced-stage, high-risk, or bulky DLBCL. Patients were categorized into the Pola plus chemotherapy (Pola) and traditional chemotherapy groups based on induction therapy. After excluding 6 patients who received fewer than four cycles of chemotherapy, 58 patients remained for efficacy analysis. The objective response rate after four cycles was 100% in the Pola group compared with 74.1% in the traditional chemotherapy group (<i>p</i> = 0.009). After a median follow-up of 13.5 months (range, 11.0–16.0 months), the median overall survival (OS), progression-free survival (PFS), and duration of response (DOR) in the Pola group were significantly longer than those in the traditional chemotherapy group (all <i>p</i> &lt; 0.05). Among patients with advanced disease, Pola plus chemotherapy was superior to traditional chemotherapy in terms of OS, PFS, and DOR (all <i>p</i> &lt; 0.05). For patients aged &gt;60 years with advanced disease, the Pola group had superior OS, PFS, and DOR (all <i>p</i> &lt; 0.05). Further subgroup survival analysis of patients receiving Pola-based therapy revealed that although the combination considerably improved PFS and DOR in advanced-stage patients, it did not overcome the poor prognosis associated with high P53 expression. Pola plus chemotherapy demonstrates superior efficacy and may prolong survival in patients with newly diagnosed advanced or high-risk DLBCL. However, it does not mitigate the unfavorable prognosis in patients with high P53 expression.