cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27233038
title: Penalized Sparse Covariance Regression with High Dimensional Covariates

description: Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i.e., similarity matrices). Specifically, we use the penalization method to identify the informative predictors and estimate their associated coefficients simultaneously. We first investigate the Lasso estimator and subsequently consider the folded concave penalized estimation methods (e.g., SCAD and MCP). However, the theoretical analysis of the existing penalization methods is primarily based on iid data, which is not directly applicable to our scenario. To address this difficulty, we establish the non-asymptotic error bounds by exploiting the spectral properties of the covariance matrix and similarity matrices. Then, we derive the estimation error bound for the Lasso estimator and establish the desirable oracle property of the folded concave penalized estimator. Extensive simulation studies are conducted to corroborate our theoretical results. We also illustrate the usefulness of the proposed method by applying it to a Chinese stock market dataset.
DOI: 10.6084/m9.figshare.27233038.v1
title: Penalized Sparse Covariance Regression with High Dimensional Covariates

description: Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i.e., similarity matrices). Specifically, we use the penalization method to identify the informative predictors and estimate their associated coefficients simultaneously. We first investigate the Lasso estimator and subsequently consider the folded concave penalized estimation methods (e.g., SCAD and MCP). However, the theoretical analysis of the existing penalization methods is primarily based on iid data, which is not directly applicable to our scenario. To address this difficulty, we establish the non-asymptotic error bounds by exploiting the spectral properties of the covariance matrix and similarity matrices. Then, we derive the estimation error bound for the Lasso estimator and establish the desirable oracle property of the folded concave penalized estimator. Extensive simulation studies are conducted to corroborate our theoretical results. We also illustrate the usefulness of the proposed method by applying it to a Chinese stock market dataset.
DOI: 10.15468/dl.529g83
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is CWS: Waterbird colony database (Atlantic region)",
 "Locality is one of (Pee Pee Island, Great Island, Gull Island)"
 ]
}

 The dataset includes 108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022122-241107131044228/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.27233035
title: An Oracle Inequality for Multivariate Dynamic Quantile Forecasting

description: I derive an oracle inequality for a family of possibly misspecified multivariate conditional autoregressive quantile models. The family includes standard specifications for (nonlinear) quantile prediction proposed in the literature. This inequality is used to establish that the predictor that minimizes the in-sample average check loss achieves the best out-of-sample performance within its class at a near optimal rate, even when the model is fully misspecified. An empirical application to backtesting global Growth-at-Risk shows that a combination of the generalized autoregressive conditionally heteroscedastic model and the vector autoregression for Value-at-Risk performs best out-of-sample in terms of the check loss.
DOI: 10.6084/m9.figshare.27233035.v1
title: An Oracle Inequality for Multivariate Dynamic Quantile Forecasting

description: I derive an oracle inequality for a family of possibly misspecified multivariate conditional autoregressive quantile models. The family includes standard specifications for (nonlinear) quantile prediction proposed in the literature. This inequality is used to establish that the predictor that minimizes the in-sample average check loss achieves the best out-of-sample performance within its class at a near optimal rate, even when the model is fully misspecified. An empirical application to backtesting global Growth-at-Risk shows that a combination of the generalized autoregressive conditionally heteroscedastic model and the vector autoregression for Value-at-Risk performs best out-of-sample in terms of the check loss.
DOI: 10.15468/dl.rmwhtm
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "Country is Ecuador",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022123-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124375
title: Data from an Excavation at Chetwode, Buckinghamshire, 2021-2022 (HS2 Phase One)

description: This collection includes reports, drawings, site photographs, databases, GIS data and site records from an excavation carried out by Cotswold Archaeology at Chetwode, Buckinghamshire between February and December 2021.
DOI: 10.15468/dl.zbf2en
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ameerega ingeri (Cochran & Goin, 1970)"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022124-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7qjed
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ameerega ingeri (Cochran & Goin, 1970)"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022125-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13312755
title: Femorale: Femorale (793) DwCA

description: Specimen images and measurements of shelled mollusks
DOI: 10.5281/zenodo.13312756
title: Femorale: Femorale (793) DwCA

description: Specimen images and measurements of shelled mollusks
DOI: 10.6084/m9.figshare.27854376.v1
title: BS-48.zip

description: baishui-40
DOI: 10.6084/m9.figshare.27854376
title: BS-48.zip

description: baishui-40
DOI: 10.15468/dl.t4vxc7
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is CWS: Waterbird colony database (Atlantic region)",
 "Locality is one of (Pee Pee Island, Great Island, Gull Island)"
 ]
}

 The dataset includes 108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022126-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/ce79d2502d656a17ad532a883b64e55a
title: Snow depth, soil frost depth and snow water content along an elevation gradient at the Hubbard Brook Experimental Forest.

description: Snow depth, soil frost depth and snow water content have been measured at several locations at the Hubbard Brook Experimental Forest (HBEF). In October 2010, as part of a study of the relationships between snow depth, soil freezing and nutrient cycling (http://www.ecostudies.org/people_sci_groffman_snow_summary.html), we established 6 20 x 20-m plots (intensive plots) and 14 10 x 10-m plots (extensive plots) following an elevation gradient, with eight of the plots facing north and twelve facing south. Snow and frost depth, and snow water equivalent sampling started in December 2010. Measurements on the extensive plots ended at the conclusion of snow coverage in spring, 2012. Measurements at the 6 intensive plots are ongoing and measurement frequency was increased from approximately bimonthly to approximately weekly beginning in the 2019-2020 snow cover season.
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6084/m9.figshare.27640164.v1
title: Layer Sorghum - Rearing phase performance

description: The data set shows the growth performance and uniformity of brown egg-type pullets fed different diets (treatments) from 1 to 17 weeks of age. The treatments consist of CON = corn-soybean meal (SBM) based diet (served as a standard); HS = Corn-high-protein sorghum-SBM based diet; N2 = Corn-US #2 sorghum-SBM based diet. 1. Data Sharing – Pullet Sorghum – Rearing Phase Performance: This spreadsheet includes the bird performance data for the three diets evaluated. The data was organized by pen number, block, dietary treatment, and replication. Performance data included body weight per bird, average daily gain per bird, and feed intake per bird for ages 1, 3, 5, 7, 9, 11, 13,15, and 17 weeks of age. Also, flock uniformity is presented for ages 6, 8, 10, 12, and 14 weeks of age. a. Description of variables; units i. Pen – pen identifier or label; no units ii. Block – identification or label; no units iii. Replication – replication identification or label; no units iv. Dietary Treatment – diet evaluated; CON = corn-soybean meal (SBM) based diet (served as a standard), HS = Corn-high-protein sorghum-SBM based diet, N2 = Corn-US #2 sorghum-SBM based diet; no units v. Bird Performance 1. Body weight – body weight per bird; grams/bird 2. Average daily gain - daily body weight gain per bird; grams/bird 3. Average daily feed intake - Average feed consumption per bird; grams/bird vi. Flock Uniformity 1. Uniformity – weight uniformity per pen; reported in % of individual bird weights that are +/- 10% of the average.
DOI: 10.15468/dl.f5tg28
title: Occurrence Download

description: A dataset containing 32082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.44.227_1",
 "TaxonKey is Chordata",
 "Year 2005-2006"
 ]
}

 The dataset includes 32082 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022127-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48574/67afd22d-1a53-477e-bf90-dce8ea076d63
title: Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis
DOI: 10.15468/dl.d9zsud
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 467 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022128-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5nq3g
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "Elevation 150.0-399.0m",
 "Geometry POLYGON((-77.4 -11.367,-77.3 -11.367,-77.3 -11.3,-77.4 -11.3,-77.4 -11.367))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022129-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13312666
title: NMNH Marine Dinoflagellates

description: Harmful Marine Dinoflagellate Taxa

https://naturalhistory.si.edu/research/botany/research/dinoflagellates/harmful-marine-dinoflagellate-taxa and type specimen data from NMNH Botany
DOI: 10.5281/zenodo.13312667
title: NMNH Marine Dinoflagellates

description: Harmful Marine Dinoflagellate Taxa

https://naturalhistory.si.edu/research/botany/research/dinoflagellates/harmful-marine-dinoflagellate-taxa and type specimen data from NMNH Botany
DOI: 10.5281/zenodo.14187036
title: hypnale_hypnale_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14187037
title: hypnale_hypnale_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13312629
title: CoralReefFish: CoralReefFish (first draft)

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13312628
title: CoralReefFish: CoralReefFish (first draft)

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.15468/dl.k6pfwq
title: Occurrence Download

description: A dataset containing 23075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 23075 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022134-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/addbo3
title: Doorway1.tab
DOI: 10.57745/h1is1b
title: Doorway1.tab
DOI: 10.57745/pgzi3i
title: Doorway1.tab
DOI: 10.57745/em6pql
title: Doorway1.tab
DOI: 10.57745/oc7o7d
title: Doorway1.tab
DOI: 10.57745/odpaxu
title: Doorway1.tab
DOI: 10.57745/oozdrh
title: Doorway1.tab
DOI: 10.57745/oti3gn
title: Doorway1.tab
DOI: 10.57745/qfqni7
title: Doorway1.tab
DOI: 10.57745/ukwi1c
title: Doorway1.tab
DOI: 10.57745/xpzxel
title: Doorway1.tab
DOI: 10.57745/xrn8nl
title: Doorway1.tab
DOI: 10.57745/4amhmd
title: Doorway1.tab
DOI: 10.57745/4pvrid
title: Doorway1.tab
DOI: 10.57745/7hilxc
title: Doorway1.tab
DOI: 10.57745/axoxto
title: Doorway1.tab
DOI: 10.57745/fszvo9
title: Doorway1.tab
DOI: 10.57745/ih89ru
title: Doorway1.tab
DOI: 10.57745/n43vsd
title: Doorway1.tab
DOI: 10.57745/pa2xmh
title: Doorway1.tab
DOI: 10.57745/pug5zt
title: Doorway1.tab
DOI: 10.57745/w2ay1f
title: Doorway1.tab
DOI: 10.57745/xqarsh
title: Doorway1.tab
DOI: 10.57967/hf/3542
title: Diffuse_Map_Surfaces
DOI: 10.57745/0q70qv
title: Doorway1.tab
DOI: 10.57745/9clejl
title: Doorway1.tab
DOI: 10.57745/bh6zt8
title: Doorway1.tab
DOI: 10.57745/coqooo
title: Doorway1.tab
DOI: 10.57745/gevjpu
title: Doorway1.tab
DOI: 10.57745/glksac
title: Doorway1.tab
DOI: 10.57745/mdk2v0
title: Doorway1.tab
DOI: 10.57745/r3tww8
title: Doorway1.tab
DOI: 10.57745/zeho4u
title: Doorway1.tab
DOI: 10.57745/6crjph
title: Doorway1.tab
DOI: 10.57745/7fm9ol
title: Doorway1.tab
DOI: 10.57745/98db7h
title: Doorway1.tab
DOI: 10.57745/cv8jq5
title: Doorway1.tab
DOI: 10.57745/hagvmj
title: Doorway1.tab
DOI: 10.57745/lwj6jg
title: Doorway1.tab
DOI: 10.57745/pxlcoe
title: Doorway1.tab
DOI: 10.57745/qyxgut
title: Doorway1.tab
DOI: 10.57745/s0fqtz
title: Doorway1.tab
DOI: 10.57745/8a82h5
title: Doorway1.tab
DOI: 10.57745/8gbh3y
title: Doorway1.tab
DOI: 10.57745/8iaabo
title: Doorway1.tab
DOI: 10.57745/a91mbv
title: Doorway1.tab
DOI: 10.57745/f4bup2
title: Doorway1.tab
DOI: 10.57745/lfwbsb
title: Doorway1.tab
DOI: 10.57745/nhsnaz
title: Doorway1.tab
DOI: 10.57745/puvjnn
title: Doorway1.tab
DOI: 10.57745/qcrlg3
title: Doorway1.tab
DOI: 10.57745/qe3vjn
title: Doorway1.tab
DOI: 10.57745/u00ds5
title: Doorway1.tab
DOI: 10.57745/wag4ey
title: Doorway1.tab
DOI: 10.57745/36thnj
title: Doorway1.tab
DOI: 10.57745/6bcx8m
title: Doorway1.tab
DOI: 10.57745/7mp5ow
title: Doorway1.tab
DOI: 10.57745/afitop
title: Doorway1.tab
DOI: 10.57745/l1flox
title: Doorway1.tab
DOI: 10.57745/ladyqd
title: Doorway1.tab
DOI: 10.57745/npeyoo
title: Doorway1.tab
DOI: 10.57745/pbzecv
title: Doorway1.tab
DOI: 10.57745/tjivym
title: Doorway1.tab
DOI: 10.57745/tl02fe
title: Doorway1.tab
DOI: 10.57745/tpgazq
title: Doorway1.tab
DOI: 10.57745/w3upd8
title: Doorway1.tab
DOI: 10.57745/5rocjy
title: Doorway1.tab
DOI: 10.57745/75v51b
title: Doorway1.tab
DOI: 10.57745/g68bsd
title: Doorway1.tab
DOI: 10.57745/hnwcf7
title: Doorway1.tab
DOI: 10.57745/hyfs8x
title: Doorway1.tab
DOI: 10.57745/kvull2
title: Doorway1.tab
DOI: 10.57745/mf6p4c
title: Doorway1.tab
DOI: 10.57745/mmf3rl
title: Doorway1.tab
DOI: 10.57745/qcb7ae
title: Doorway1.tab
DOI: 10.57745/vlogzd
title: Doorway1.tab
DOI: 10.57745/w6yvn1
title: Doorway1.tab
DOI: 10.57745/0aomsu
title: Doorway1.tab
DOI: 10.57745/ji5t9k
title: Doorway1.tab
DOI: 10.57745/kn4qrm
title: Doorway1.tab
DOI: 10.57745/mebch4
title: Doorway1.tab
DOI: 10.57745/ssi00j
title: Doorway1.tab
DOI: 10.57745/stlstu
title: Doorway1.tab
DOI: 10.57745/tjbcd5
title: Doorway1.tab
DOI: 10.57745/vh50ar
title: Doorway1.tab
DOI: 10.57745/vp5ixn
title: Doorway1.tab
DOI: 10.57745/zbg2lr
title: Doorway1.tab
DOI: 10.57745/4t9gd7
title: Doorway1.tab
DOI: 10.57745/8zuas4
title: Doorway1.tab
DOI: 10.57745/9msxc8
title: Doorway1.tab
DOI: 10.57745/btw58z
title: Doorway1.tab
DOI: 10.57745/f0l7rd
title: Doorway1.tab
DOI: 10.57745/rjf9sk
title: Doorway1.tab
DOI: 10.57745/txouqc
title: Doorway1.tab
DOI: 10.57745/zss5dn
title: Doorway1.tab
DOI: 10.57745/0sfjoz
title: Doorway1.tab
DOI: 10.57745/54v2tz
title: Doorway1.tab
DOI: 10.57745/atoxbs
title: Doorway1.tab
DOI: 10.57745/ebl0jn
title: Doorway1.tab
DOI: 10.57745/fv3ulv
title: Doorway1.tab
DOI: 10.57745/gagukc
title: Doorway1.tab
DOI: 10.57745/hebnit
title: Doorway1.tab
DOI: 10.57745/moom7k
title: Doorway1.tab
DOI: 10.57745/o4tyak
title: Doorway1.tab
DOI: 10.57745/smbdlo
title: Doorway1.tab
DOI: 10.57745/ama02o
title: Doorway1.tab
DOI: 10.57745/bztkll
title: Doorway1.tab
DOI: 10.57745/czxhwy
title: Doorway1.tab
DOI: 10.57745/dpbjfr
title: Doorway1.tab
DOI: 10.57745/eyhzvc
title: Doorway1.tab
DOI: 10.57745/kpjpfl
title: Doorway1.tab
DOI: 10.57745/rrlnnk
title: Doorway1.tab
DOI: 10.57745/ubouxv
title: Doorway1.tab
DOI: 10.57745/wwx5lq
title: Doorway1.tab
DOI: 10.57745/zi3rkq
title: Doorway1.tab
DOI: 10.57745/ac9zla
title: Doorway1.tab
DOI: 10.57745/ad65ew
title: Doorway1.tab
DOI: 10.57745/bpxant
title: Doorway1.tab
DOI: 10.57745/dp9y3r
title: Doorway1.tab
DOI: 10.57745/jpombk
title: Doorway1.tab
DOI: 10.57745/ljtndz
title: Doorway1.tab
DOI: 10.57745/m15oae
title: Doorway1.tab
DOI: 10.57745/s40eq1
title: Doorway1.tab
DOI: 10.57745/tydw00
title: Doorway1.tab
DOI: 10.57745/2yt8j8
title: Doorway1.tab
DOI: 10.57745/c6rmdr
title: Doorway1.tab
DOI: 10.57745/e6oxuk
title: Doorway1.tab
DOI: 10.57745/q7rtl3
title: Doorway1.tab
DOI: 10.57745/sqlo3j
title: Doorway1.tab
DOI: 10.57745/vacloi
title: Doorway1.tab
DOI: 10.57745/xhn3jz
title: Doorway1.tab
DOI: 10.57745/xizxnc
title: Doorway1.tab
DOI: 10.57745/ykre37
title: Doorway1.tab
DOI: 10.57745/zqybom
title: Doorway1.tab
DOI: 10.57745/040sp6
title: Doorway1.tab
DOI: 10.57745/57gaor
title: Doorway1.tab
DOI: 10.57745/5aobp5
title: Doorway1.tab
DOI: 10.57745/6b8kil
title: Doorway1.tab
DOI: 10.57745/crel12
title: Doorway1.tab
DOI: 10.57745/dvcpwi
title: Doorway1.tab
DOI: 10.57745/hhs47q
title: Doorway1.tab
DOI: 10.57745/nh05yy
title: Doorway1.tab
DOI: 10.57745/nzdbdy
title: Doorway1.tab
DOI: 10.57745/odrevd
title: Doorway1.tab
DOI: 10.57745/q4xti5
title: Doorway1.tab
DOI: 10.57745/ryxjaq
title: Doorway1.tab
DOI: 10.57745/bcrdfu
title: Doorway4.tab
DOI: 10.57745/cblqjo
title: Doorway2.tab
DOI: 10.57745/czro7z
title: Doorway4.tab
DOI: 10.57745/j3oe8n
title: Doorway3.tab
DOI: 10.57745/mtyqm8
title: Doorway3.tab
DOI: 10.57745/ops99s
title: Doorway1.tab
DOI: 10.57745/slhs6k
title: Doorway2.tab
DOI: 10.57745/t0dewg
title: Doorway3.tab
DOI: 10.57745/tjqliw
title: Doorway4.tab
DOI: 10.57745/uei1ez
title: Doorway2.tab
DOI: 10.57745/zbyrqs
title: Doorway2.tab
DOI: 10.57745/zr1nyv
title: Doorway3.tab
DOI: 10.57745/2xu5kd
title: Doorway5.tab
DOI: 10.57745/b5wzgd
title: Doorway5.tab
DOI: 10.57745/bw1tvm
title: Doorway5.tab
DOI: 10.57745/glrijh
title: Doorway5.tab
DOI: 10.57745/hp4bep
title: ReadMe.txt
DOI: 10.57745/ofxvow
title: Doorway5.tab
DOI: 10.57745/vdlqz9
title: Doorway5.tab
DOI: 10.15468/dl.9sv6re
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Ameerega ingeri (Cochran & Goin, 1970)"
 ]
}

 The dataset's 2 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022130-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14187113
title: kassina_somalica_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14187114
title: kassina_somalica_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14187125
title: FITRAT PUBLITSISTIK ASARLARI TARKIBIDAGI O'ZLASHMALAR SEMANTIKASIDAGI O'ZGARISHLAR
DOI: 10.5281/zenodo.14187126
title: FITRAT PUBLITSISTIK ASARLARI TARKIBIDAGI O'ZLASHMALAR SEMANTIKASIDAGI O'ZGARISHLAR
DOI: 10.15468/dl.s6qnep
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 467 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022135-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.