cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.699eqm
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Plantago insularis",
 "Continent is North America",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 163 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003340-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_epa_data_1
title: DISCOVER-AQ Texas Deployment Environmental Protection Agency (EPA) Ground Site Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_galveston_data_1
title: DISCOVER-AQ Colorado P-3B Aircraft In Situ Trace Gas Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_laporteairport_data_1
title: DISCOVER-AQ Texas Deployment LaPorte Airport Ground Site Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_manvelcroix_data_1
title: DISCOVER-AQ Texas Deployment Manvel Croix Ground Site Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_moodytower_data_1
title: DISCOVER-AQ Texas Deployment Moody Tower Ground Site Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_pandora_data_1
title: DISCOVER-AQ Texas Deployment Pandora Column Observations
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_smithpoint_data_1
title: DISCOVER-AQ Texas Deployment Smith Point Ground Site Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ground_tceq_data_1
title: DISCOVER-AQ Texas Deployment Texas Commission on Environmental Quality Ground Site Data
DOI: 10.15468/dl.dzgmhc
title: Occurrence Download

description: A dataset containing 504 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Numenius borealis"
 ]
}

 The dataset includes 504 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003341-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/asdc/suborbital/discoveraq_texas_merge_data_1
title: DISCOVER-AQ Texas Deployment P-3B Aircraft Merged Data Files
DOI: 10.5067/asdc/suborbital/discoveraq_texas_metnav_aircraftinsitu_b200_data_1
title: DISCOVER-AQ Texas Deployment B-200 Aircraft In Situ Meteorological and Navigational Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_metnav_aircraftinsitu_p3b_data_1
title: DISCOVER-AQ Texas Deployment P-3B Aircraft In Situ Meteorological and Navigational Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_ozonesondes_data_1
title: DISCOVER-AQ Texas Deployment Ozonesonde Data
DOI: 10.5067/asdc/suborbital/discoveraq_texas_tracegas_aircraftinsitu_p3b_data_1
title: DISCOVER-AQ Texas Deployment P-3B Aircraft In Situ Trace Gas Data
DOI: 10.15468/dl.vhruvz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.082 2.513177, 100.01167 2.507609, 99.943074 2.49104, 99.87790099999999 2.463879, 99.817758 2.426796, 99.764127 2.380705, 99.718327 2.32674, 99.681487 2.266232, 99.65451299999999 2.200672, 99.63806700000001 2.131673, 99.632554 2.060936, 99.63810599999999 1.990202, 99.65458700000001 1.921213, 99.68159 1.855666, 99.718448 1.795176, 99.764253 1.74123, 99.817879 1.695158, 99.878004 1.658092, 99.94314799999999 1.630946, 100.011709 1.614386, 100.082 1.60882, 100.152291 1.614386, 100.220852 1.630946, 100.285996 1.658092, 100.346121 1.695158, 100.399747 1.74123, 100.445552 1.795176, 100.48241 1.855666, 100.509413 1.921213, 100.525894 1.990202, 100.531446 2.060936, 100.525933 2.131673, 100.509487 2.200672, 100.482513 2.266232, 100.445673 2.32674, 100.399873 2.380705, 100.346242 2.426796, 100.286099 2.463879, 100.220926 2.49104, 100.15233 2.507609, 100.082 2.513177))"},{"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/0003343-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.31119268
title: Optical coherence tomography retinal biomarkers for traumatic brain injuries: a systematic review and meta-analysis

description: Traumatic brain injury (TBI) is associated with impaired cognitive, psychological, and neurological functions. As an embryological extension of the central nervous system, the retina allows non-invasive assessment of cerebral pathology via optical coherence tomography (OCT). This systematic review and meta-analysis evaluated whether consistent OCT-derived retinal changes occur in TBI and their potential as biomarkers. A systematic search of five electronic databases identified studies comparing OCT parameters between individuals with TBI and controls. Retinal biomarkers included optic nerve, macular, and choroidal thickness metric. A random-effects meta-analysis was conducted, and study quality assessments were performed. Seven studies involving Olympic boxers, collision-sport athletes, rugby players, veterans, and the general population with mild-to-moderate TBI were included. Across studies, peripapillary retinal nerve fibre layer (RNFL) findings were heterogeneous, ranging from minor thickening (+1.7 µm) to pronounced thinning (−14 µm) relative to controls. RNFL thickness was significantly reduced in collision-sport athletes, especially boxers, and in veterans. Longitudinally, veterans showed faster RNFL loss (−1.47 ± 0.24 µm/year vs − 0.31 ± 0.32 µm/year; <i>p</i> = 0.004). The meta-analysis demonstrated a small, non-significant global effect (Hedges’ g = –0.21; 95% CI −2.51 to 0.33; <i>p</i> = 0.84), corresponding to an estimated peripapillary RNFL thinning of approximately 1–1.5 µm in TBI cases compared with controls. Macular thickness was decreased in boxers compared to controls (<i>p</i> &lt; 0.05). The ganglion cell complex was thinner in boxers (76.7 ± 2.1 µm vs 81.6 ± 0.5 µm; <i>p</i> = 0.02) but unchanged longitudinally. The ganglion cell layer showed localised thinning (<i>p</i> &lt; 0.05) without global change. The sub-foveal choroidal thickness was reduced in patients with TBI (211 µm vs 369.5 µm; <i>p</i> = 0.05), while the Henle fibre layer was thicker (8.4 ± 0.9 vs 7.7 ± 1.1 pixels; <i>p</i> = 0.02). RNFL thinning was the most frequently examined OCT-based retinal biomarker, with variable findings across other retinal parameters. The meta-analysis revealed a non-significant effect, highlighting the need for further longitudinal research.
DOI: 10.6084/m9.figshare.31119268.v1
title: Optical coherence tomography retinal biomarkers for traumatic brain injuries: a systematic review and meta-analysis

description: Traumatic brain injury (TBI) is associated with impaired cognitive, psychological, and neurological functions. As an embryological extension of the central nervous system, the retina allows non-invasive assessment of cerebral pathology via optical coherence tomography (OCT). This systematic review and meta-analysis evaluated whether consistent OCT-derived retinal changes occur in TBI and their potential as biomarkers. A systematic search of five electronic databases identified studies comparing OCT parameters between individuals with TBI and controls. Retinal biomarkers included optic nerve, macular, and choroidal thickness metric. A random-effects meta-analysis was conducted, and study quality assessments were performed. Seven studies involving Olympic boxers, collision-sport athletes, rugby players, veterans, and the general population with mild-to-moderate TBI were included. Across studies, peripapillary retinal nerve fibre layer (RNFL) findings were heterogeneous, ranging from minor thickening (+1.7 µm) to pronounced thinning (−14 µm) relative to controls. RNFL thickness was significantly reduced in collision-sport athletes, especially boxers, and in veterans. Longitudinally, veterans showed faster RNFL loss (−1.47 ± 0.24 µm/year vs − 0.31 ± 0.32 µm/year; <i>p</i> = 0.004). The meta-analysis demonstrated a small, non-significant global effect (Hedges’ g = –0.21; 95% CI −2.51 to 0.33; <i>p</i> = 0.84), corresponding to an estimated peripapillary RNFL thinning of approximately 1–1.5 µm in TBI cases compared with controls. Macular thickness was decreased in boxers compared to controls (<i>p</i> &lt; 0.05). The ganglion cell complex was thinner in boxers (76.7 ± 2.1 µm vs 81.6 ± 0.5 µm; <i>p</i> = 0.02) but unchanged longitudinally. The ganglion cell layer showed localised thinning (<i>p</i> &lt; 0.05) without global change. The sub-foveal choroidal thickness was reduced in patients with TBI (211 µm vs 369.5 µm; <i>p</i> = 0.05), while the Henle fibre layer was thicker (8.4 ± 0.9 vs 7.7 ± 1.1 pixels; <i>p</i> = 0.02). RNFL thinning was the most frequently examined OCT-based retinal biomarker, with variable findings across other retinal parameters. The meta-analysis revealed a non-significant effect, highlighting the need for further longitudinal research.
DOI: 10.15468/dl.2rhbv8
title: Occurrence Download

description: A dataset containing 22065 records in GBIF matching the query:
SELECT
 '37' 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;= -28.773895969281842
 AND decimalLatitude &lt;= -24.552553756517728
 AND decimalLongitude &gt;= -54.13000888096006
 AND decimalLongitude &lt;= -47.61041350707164
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 22065 records were derived from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003332-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2yaau
title: Occurrence Download

description: A dataset containing 933208 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas Flora Danica"
 ]
}

 The dataset includes 933208 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003336-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7m7y28
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-74.169 11.071024, -74.240585 11.065451, -74.3104 11.048868, -74.376718 11.021688, -74.437901 10.98458, -74.492439 10.938463, -74.538988 10.884475, -74.576403 10.823951, -74.60376599999999 10.758383, -74.62041000000001 10.689388, -74.62593200000001 10.618668, -74.62020200000001 10.547963, -74.603371 10.479015, -74.57585899999999 10.413519, -74.538349 10.353085, -74.491767 10.299199, -74.437262 10.253182, -74.376175 10.216165, -74.310005 10.189056, -74.24037800000001 10.17252, -74.169 10.166963, -74.097622 10.17252, -74.027995 10.189056, -73.961825 10.216165, -73.900738 10.253182, -73.846233 10.299199, -73.799651 10.353085, -73.762141 10.413519, -73.734629 10.479015, -73.717798 10.547963, -73.712068 10.618668, -73.71759 10.689388, -73.734234 10.758383, -73.76159699999999 10.823951, -73.799012 10.884475, -73.845561 10.938463, -73.900099 10.98458, -73.961282 11.021688, -74.02760000000001 11.048868, -74.097415 11.065451, -74.169 11.071024))"},{"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 85 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003344-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xz5k4g
title: Occurrence Download

description: A dataset containing 18348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Primolius maracana"
 ]
}

 The dataset includes 18348 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003345-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rvk9p
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalus campbelli"
 ]
}

 The dataset includes 54 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003346-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9xvfr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.148 2.514177, 100.07767 2.508609, 100.009073 2.49204, 99.943901 2.464879, 99.883758 2.427796, 99.83012600000001 2.381704, 99.784327 2.32774, 99.74748700000001 2.267232, 99.720513 2.201672, 99.70406699999999 2.132673, 99.698553 2.061936, 99.704106 1.991202, 99.72058699999999 1.922213, 99.74759 1.856666, 99.784448 1.796176, 99.830253 1.74223, 99.88387899999999 1.696158, 99.944003 1.659092, 100.009148 1.631946, 100.077709 1.615386, 100.148 1.60982, 100.218291 1.615386, 100.286852 1.631946, 100.351997 1.659092, 100.412121 1.696158, 100.465747 1.74223, 100.511552 1.796176, 100.54841 1.856666, 100.575413 1.922213, 100.591894 1.991202, 100.597447 2.061936, 100.591933 2.132673, 100.575487 2.201672, 100.548513 2.267232, 100.511673 2.32774, 100.465874 2.381704, 100.412242 2.427796, 100.352099 2.464879, 100.286927 2.49204, 100.21833 2.508609, 100.148 2.514177))"},{"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/0003347-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18331294
title: SPARC Environment Proxy + RC-Fit η-Limit — LOCKED Evidence Pack (2026-01-21)

description: This record provides a locked, downloader-ready evidence pack for a SPARC rotation-curve (RC) fit workflow extended with an external environment proxy. The package includes an env-proxy robustness grid producing σ_env (dex), a hardened σ_env → η policy ceiling, and an empirical SPARC RC-fit η-limit derived from an η scan under explicit fit-degradation thresholds. The main result is that RC-fit compatibility yields a conservative bound η_max,allowed ≈ 0.08, while the policy-implied ceiling over the tested σ_env band is typically higher (of order 0.18–0.20). All artifacts are generated under a strict NO-OVERWRITE workflow and include SHA256 integrity checks.

Integrity verification (downloader perspective):





tar -xzf SPARC_ENVPROXY_POLICY_RCFIT_LOCKED_PACK_20260121_212909.tar.gz




cd SPARC_ENVPROXY_POLICY_RCFIT_LOCKED_PACK_20260121_212909




sha256sum -c PACK_SHA256SUMS.txt
DOI: 10.5281/zenodo.18331293
title: SPARC Environment Proxy + RC-Fit η-Limit — LOCKED Evidence Pack (2026-01-21)

description: This record provides a locked, downloader-ready evidence pack for a SPARC rotation-curve (RC) fit workflow extended with an external environment proxy. The package includes an env-proxy robustness grid producing σ_env (dex), a hardened σ_env → η policy ceiling, and an empirical SPARC RC-fit η-limit derived from an η scan under explicit fit-degradation thresholds. The main result is that RC-fit compatibility yields a conservative bound η_max,allowed ≈ 0.08, while the policy-implied ceiling over the tested σ_env band is typically higher (of order 0.18–0.20). All artifacts are generated under a strict NO-OVERWRITE workflow and include SHA256 integrity checks.

Integrity verification (downloader perspective):





tar -xzf SPARC_ENVPROXY_POLICY_RCFIT_LOCKED_PACK_20260121_212909.tar.gz




cd SPARC_ENVPROXY_POLICY_RCFIT_LOCKED_PACK_20260121_212909




sha256sum -c PACK_SHA256SUMS.txt
DOI: 10.3886/icpsr39654
title: Alvin Ailey American Dance Theater Performance Dataset, 1958-1989
title: Archival Version

description: The Alvin Ailey American Dance Theater Performance Dataset, 1958-89, was developed to support the Radical Accounting project, which explores the transmission of dance knowledge and the historical growth of Alvin Ailey American Dance Theater (AAADT) from a small touring company to a global institution. The dataset, curated by Kate Elswit and Harmony Bench, comprises detailed records of 4,143 performances in 505 cities across 66 countries, compiled and verified using over 30,000 archival documents and personal materials. It highlights previously underdocumented venues and events, foregrounds the collective histories of dance artists, and aims for accuracy through extensive archival research and consultation with company legacy holders.
Commissioned for the Whitney Museum's "Edges of Ailey" exhibition, the dataset excludes related troupes and solo performances not billed as AAADT, instead focusing on public performances, repertory, and venues connected directly to AAADT between 1958 and 1989.
The accompanying user guide clarifies curation decisions and explains the relational structure of the data to support robust historical research.
description: Datasets: 
DS0: Study-Level Files
DS1: Alvin Ailey American Dance Theater Performance Dataset 1958-1989
DS2: Supplementary Data: AAADT Repertory Titles and AKAs 1958-1989
description: This release is a Fast Track release and files are distributed as they were received from the data depositor. The files have been zipped for release. Users should consult the investigator(s) if further information is needed.
DOI: 10.3886/icpsr39654.v1
title: Alvin Ailey American Dance Theater Performance Dataset, 1958-1989
title: Version 1

description: The Alvin Ailey American Dance Theater Performance Dataset, 1958-89, was developed to support the Radical Accounting project, which explores the transmission of dance knowledge and the historical growth of Alvin Ailey American Dance Theater (AAADT) from a small touring company to a global institution. The dataset, curated by Kate Elswit and Harmony Bench, comprises detailed records of 4,143 performances in 505 cities across 66 countries, compiled and verified using over 30,000 archival documents and personal materials. It highlights previously underdocumented venues and events, foregrounds the collective histories of dance artists, and aims for accuracy through extensive archival research and consultation with company legacy holders.
Commissioned for the Whitney Museum's "Edges of Ailey" exhibition, the dataset excludes related troupes and solo performances not billed as AAADT, instead focusing on public performances, repertory, and venues connected directly to AAADT between 1958 and 1989.
The accompanying user guide clarifies curation decisions and explains the relational structure of the data to support robust historical research.
description: Datasets: 
DS0: Study-Level Files
DS1: Alvin Ailey American Dance Theater Performance Dataset 1958-1989
DS2: Supplementary Data: AAADT Repertory Titles and AKAs 1958-1989
description: This release is a Fast Track release and files are distributed as they were received from the data depositor. The files have been zipped for release. Users should consult the investigator(s) if further information is needed.
DOI: 10.6084/m9.figshare.31119232
title: All native microbial amendments are not equal: One location outperformed all others in a test of coastal dune amendments

description: Microbial amendments can improve ecological restorations by increasing plant performance and decreasing soil erosion. Whole-soil amendments collected from native ecosystems, in particular, have been shown to produce desirable outcomes; however, it is unclear if all native soil amendments produce equally positive effects. Instead, it is likely that donor locations differ in their soil microbial communities, which may change their efficacy for restoration.We tested whether soil amendments sourced from eleven sites across the Texas Gulf Coast differed in their effects on aboveground and belowground responses, which could help predict how these amendments would influence dune restorations. The amendments were tested by growing a community of five native plant species in live or sterilized soil amendments collected from eleven sites. At the end of the experiment, we measured above- and below-ground biomass for each plant species, the density of AM fungal extra-radical hyphae (ERH) in the soil, and the colonization of one plant species' roots (Panicum amarum's roots) by AM fungal hyphae, vesicles, and arbuscules. Characteristics of each soil collection site -- including soil nutrients, plant community characteristics, and the amount of extra-radical hyphae from arbuscular mycorrhizal (AM) fungi in the field collected soil -- were collected and used to assess which characteristics may predict high performing soil amendments. The dataset includes both site characteristics and data from the experiment.