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

description: A dataset containing 3107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Malaysia, Indonesia, Brunei Darussalam)",
 "Geometry POLYGON((108.63972 2.65576,108.25169 -1.91436,110.32118 -3.68204,116.22784 -5.14793,121.40156 4.85459,117.47816 7.95882,108.63972 2.65576))",
 "HasGeospatialIssue is false",
 "TaxonKey is Syzygium"
 ]
}

 The dataset includes 3107 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005285-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2f2zx
title: Occurrence Download

description: A dataset listing the 0 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Uganda"
 ]
}

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005271-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17697456
title: Data bundle PyPSA-China-PIK: rasters and basic cutout

description: bathymetry data from GEBCO (Cambride CEDA)

Pre-computed atlite cutout containing ECMWF-ERA5 weather data from 2020 for China

Global energy monitor integrated plant tracker data July25 revision (filtered for China only)
DOI: 10.5281/zenodo.17696017
title: School-Related Social Anxiety (SAQ-C), Academic Self-Concept, and Social Integration

description: This dataset contains data from 740 lower-secondary school students (ages 13–15), including gender (1 = male, 2 = female), assessing school-related social anxiety, academic self-concept, and peer social integration. Social anxiety in school was measured using two school-relevant subscales of the Social Anxiety Questionnaire for Children (SAQ-C; Caballo et al., 2012, 2016): Speaking with Teachers (SA01–SA04) and Criticism & Embarrassment (SA05–SA08). Academic self-concept (AS01–AS09) and social integration (SI01–SI10) were derived from a Multidimensional School Well-being Questionnaire based on the Dutch Schoolvragenlijst (Smits & Vorst, 1982; Van Damme et al., 2002; Van Landeghem et al., 2002). All items were rated on 5-point Likert scales with higher number indicating grater levels of respective constructs (social anxiegty, academic self-concept or peer social integration). The datasets have been pre-processed and recoded, so negatively worded items are reverse-coded where appropriate. Data were collected during autumn and spring 2023.
DOI: 10.5281/zenodo.17696018
title: School-Related Social Anxiety (SAQ-C), Academic Self-Concept, and Social Integration

description: This dataset contains data from 740 lower-secondary school students (ages 13–15), including gender (1 = male, 2 = female), assessing school-related social anxiety, academic self-concept, and peer social integration. Social anxiety in school was measured using two school-relevant subscales of the Social Anxiety Questionnaire for Children (SAQ-C; Caballo et al., 2012, 2016): Speaking with Teachers (SA01–SA04) and Criticism & Embarrassment (SA05–SA08). Academic self-concept (AS01–AS09) and social integration (SI01–SI10) were derived from a Multidimensional School Well-being Questionnaire based on the Dutch Schoolvragenlijst (Smits & Vorst, 1982; Van Damme et al., 2002; Van Landeghem et al., 2002). All items were rated on 5-point Likert scales with higher number indicating grater levels of respective constructs (social anxiegty, academic self-concept or peer social integration). The datasets have been pre-processed and recoded, so negatively worded items are reverse-coded where appropriate. Data were collected during autumn and spring 2023.
DOI: 10.48612/msupe/e7en-ahkn-3v68
title: Психологически важные качества специалиста органов опеки и попечительства

description: В целях реализации государственного задания Министерства просвещения Российской Федерации от 18.03.2025 № 073-00069-25-02 «Научно-методическое обоснование профессионально-психологического отбора работников сферы опеки и попечительства несовершеннолетних (специалисты органов опеки и попечительства; работники организаций, реализующих отдельные полномочия органов опеки и попечительства в отношении несовершеннолетних) в условиях современных социальных вызовов» разработан опросник «Психологически важные качества специалиста органов опеки и попечительства». С его помощью выявлена структура психологически важных качеств специалистов органов опеки и попечительства в отношении несовершеннолетних (ПВК), проанализированы предикторы этих качеств, включая эмоциональный интеллект, субъективное благополучие, процедурную самоэффективность, мотивацию, реакции на неопределенность и готовность к изменениям.
DOI: 10.25919/hvxw-0c06
title: NBDL-HK3QD0SEMSAGVE
DOI: 10.25919/0356-bm69
title: NBDL-HK3QATAWMPDWH2
DOI: 10.25919/kqnv-b546
title: NBDL-HK3QFJ1YK4JSEN
DOI: 10.25919/q434-g179
title: NBDL-HK3QD0T6KSNR4B
DOI: 10.25919/765k-5f94
title: NBDL-HK3QATB9JPECYE
DOI: 10.25919/cdv5-x516
title: NBDL-HK3QD0S3PSA1D2
DOI: 10.25919/7xez-1979
title: NBDL-HK3QATCKNP2K41
DOI: 10.25919/9gnk-az68
title: NBDL-HK3QD0RSJSBHNA
DOI: 10.25919/6eeb-rm81
title: NBDL-HK3QD0S6MSAW4E
DOI: 10.25919/y619-5p63
title: NBDL-HK3Q46W7GWED5T
DOI: 10.25919/tx9e-7a61
title: NBDL-HK3QATDSHP4Q29
DOI: 10.25919/x48e-a411
title: NBDL-HK3QD0S4GSAZ0P
DOI: 10.25919/hjhm-nf52
title: NBDL-HK3QATBBPPEFTP
DOI: 10.25919/jh7f-fr22
title: NBDL-HK3QATDPKP49MD
DOI: 10.25919/8v6a-h515
title: NBDL-HK3Q46WXMWEYXJ
DOI: 10.25919/xt0g-3b92
title: NBDL-HK3QFJ1TK4JKQ5
DOI: 10.25919/cz5w-a012
title: NBDL-HK3QFJ34M4B30R
DOI: 10.25919/rdst-ah15
title: NBDL-HK3QATD1HP5X59
DOI: 10.25919/6eyf-8m87
title: NBDL-HK3QD0RGGSBZG6
DOI: 10.25919/jzez-n156
title: NBDL-HK3QFJ1SH4NEE1
DOI: 10.25919/bwqt-zx29
title: NBDL-HK3Q46WSMWE4Q2
DOI: 10.25919/nzdp-7s34
title: NBDL-HK3QD0T3NSNG0F
DOI: 10.25919/fqbg-8v31
title: NBDL-HK3QFJ25J49Q6M
DOI: 10.25919/syph-mm42
title: NBDL-HK3QFJ36G4B7Z0
DOI: 10.5281/zenodo.17697100
title: Age-at-Death Analysis of Caprine mandibles from Neolithic Sites in Dalmatia

description: Description

The .csv file contains the results of age-at-death analysis of sheep and goat tooth wear on mandibles recovered during archaeological excavations at Smilčić, Graduša Lokva-Islam Grčki, Benkovac-Barice, and Zemunik Donji. The results of these analyses were originally described by Triozzi (2024). This dataset accompanies the article "To Cull or Not to Cull? Using Population Projection Modeling to Reveal Risk-Sensitive Herd Culling Strategies in Neolithic Dalmatia" (Triozzi and McClure in prep).

The file is used in the respository linked below to generate age-structured survivorship curves for sheep and goat herds.

 
description: Fields

Site: Name of the archaeological site. Islam Grčki is published as Graduša Lokva (Horvat Oštrić and Triozzi 2024)

BoneID: inventory number for mandible specimen

IsotopeSampleNumber: identifier of tooth specimen sampled for stable isotope analysis

Species: OA = Ovis aries; CA = Capra hircus; OC = ovicaprid

Side: (L)eft or (R)ight

Zeder_Group: Age class categories revised by Zeder (2006)

Payne.Group: Assigned age class following Payne (1973)

Genus: reclassified all species as OC for analysis.
DOI: 10.5281/zenodo.17697101
title: Age-at-Death Analysis of Caprine mandibles from Neolithic Sites in Dalmatia

description: Description

The .csv file contains the results of age-at-death analysis of sheep and goat tooth wear on mandibles recovered during archaeological excavations at Smilčić, Graduša Lokva-Islam Grčki, Benkovac-Barice, and Zemunik Donji. The results of these analyses were originally described by Triozzi (2024). This dataset accompanies the article "To Cull or Not to Cull? Using Population Projection Modeling to Reveal Risk-Sensitive Herd Culling Strategies in Neolithic Dalmatia" (Triozzi and McClure in prep).

The file is used in the respository linked below to generate age-structured survivorship curves for sheep and goat herds.

 
description: Fields

Site: Name of the archaeological site. Islam Grčki is published as Graduša Lokva (Horvat Oštrić and Triozzi 2024)

BoneID: inventory number for mandible specimen

IsotopeSampleNumber: identifier of tooth specimen sampled for stable isotope analysis

Species: OA = Ovis aries; CA = Capra hircus; OC = ovicaprid

Side: (L)eft or (R)ight

Zeder_Group: Age class categories revised by Zeder (2006)

Payne.Group: Assigned age class following Payne (1973)

Genus: reclassified all species as OC for analysis.
DOI: 10.25919/02xv-ag29
title: NBDL-HK3QD0SGGSDDW6
DOI: 10.25919/770k-3p74
title: NBDL-HK3Q46X1MWC3M2
DOI: 10.25919/3hgz-nh84
title: NBDL-HK3QD0RAMSB86Y
DOI: 10.25919/wg7w-cb67
title: NBDL-HK3QD0TNHSJKC7
DOI: 10.5281/zenodo.17697751
title: dataseyday
DOI: 10.5281/zenodo.17697752
title: dataseyday
DOI: 10.25919/5emt-8147
title: NBDL-HK3QATD2KP5WRX
DOI: 10.25919/d6th-8g36
title: NBDL-HK3QATB8MPEADJ
DOI: 10.34810/data2766
title: Replication Data for: Glucosylceramide increases the mechanical resistance of membrane domains

description: Replication of Data for: the manuscript Glucosylceramide increases the mechanical resistance of membrane domains. Dynamic light scattering (DLS) data, atomic force microscopy images on supported lipid bilayers and force spectroscopy data (breakthrough force data). Membranes composed of DOPC, sphyngomielin, cholesterol and glucosylceramide in different proportions.
DOI: 10.25919/yv02-vf32
title: NBDL-HK3QD0STMSDXMY
DOI: 10.25919/c7ew-zp12
title: NBDL-HK3QD0V3NSQYCF
DOI: 10.25919/y8fs-y804
title: NBDL-HK3QATCGQP2RD5
DOI: 10.25919/26tb-yb09
title: NBDL-HK3QFJ2BP49MAC
DOI: 10.25919/1j01-7p44
title: NBDL-HK3QFJ3CM4BQQR
DOI: 10.25919/rvpx-8d95
title: NBDL-HK3QFJ30M4BAT8
DOI: 10.25919/0s2e-7890
title: NBDL-HK3QD0RMGSBSYP
DOI: 10.25919/kz3h-vh45
title: NBDL-HK3QATDRQP4SC5
DOI: 10.25919/n0md-2364
title: NBDL-HK3QD0TDHSN637
DOI: 10.25919/swhg-y525
title: NBDL-HK3QATDFNP5MMH
DOI: 10.25919/0e87-cn63
title: NBDL-HK3Q46Y7QW8QH7
DOI: 10.25919/ej2z-mx18
title: NBDL-HK3Q46XWJWCH2E
DOI: 10.25919/yjkn-8t30
title: NBDL-HK3QATD6KP52JD
DOI: 10.25919/z6ed-gk46
title: NBDL-HK3Q46XAPWDME6
DOI: 10.25919/6e3q-dk57
title: NBDL-HK3QATDHHP44F9
DOI: 10.15468/dl.4dsxfe
title: Occurrence Download

description: A dataset containing 186157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Delphinidae",
 "Year 2017-2025"
 ]
}

 The dataset includes 186157 records from 465 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005257-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/nr9x-ae10
title: NBDL-HK3QATBJGPFTNT
DOI: 10.25919/s1a5-w861
title: NBDL-HK3QFJ39J4BZV4
DOI: 10.25919/33ba-vb97
title: NBDL-HK3QD0TTKSJRNV
DOI: 10.25919/p31g-rw03
title: NBDL-HK3Q46Y0HWBFDV
DOI: 10.25919/qdkf-2e13
title: NBDL-HK3QFJ2YG48K80
DOI: 10.25919/snms-yn68
title: NBDL-HK3QD0RVPSAEY2
DOI: 10.25919/keyr-je93
title: NBDL-HK3QD0SSJSDY1A
DOI: 10.15468/dl.ja78ub
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Uganda"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005289-251120083545085/datasets/export for details.
DOI: 10.25919/shv0-v069
title: NBDL-HK3QATD8QP5JA5
DOI: 10.25919/rb19-n504
title: NBDL-HK3QD0TFNSN34Z
DOI: 10.25919/jv1v-vd44
title: NBDL-HK3Q46Y6NW8R3K
DOI: 10.25919/bmgz-tw50
title: NBDL-HK3QD0T1HSNMWQ
DOI: 10.25919/z0av-h832
title: NBDL-HK3QD0TQNSJGHZ
DOI: 10.25919/tkh7-zq46
title: NBDL-HK3Q46WQGWEMFT
DOI: 10.15468/dl.ysp6a6
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kallima paralekta"
 ]
}

 The dataset includes 450 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005288-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/mgb0-2s63
title: NBDL-HK3QD0RNJSBQCT
DOI: 10.25919/a3xt-y883
title: NBDL-HK3QD0RBPSB7M2
DOI: 10.25919/3swb-tv20
title: NBDL-HK3Q46WKGWET1A
DOI: 10.25919/gt0j-8v35
title: NBDL-HK3QATDCQP5SXN
DOI: 10.25919/xz8c-zw89
title: NBDL-HK3QFJ2PG480N0
DOI: 10.25919/nffz-zh87
title: NBDL-HK3Q46WHMWEQA2
DOI: 10.25919/pjw5-nt66
title: NBDL-HK3Q46XCJWCBRE
DOI: 10.25919/7vtn-e483
title: NBDL-HK3QFJ2GM483G8
DOI: 10.25919/3j20-3k40
title: NBDL-HK3Q46W5MWEAEJ
DOI: 10.25919/q4bj-w392
title: NBDL-HK3QFJ33P4BE3C
DOI: 10.25919/nq7v-s010
title: NBDL-HK3QFJ2AG49KSG
DOI: 10.25919/67vw-8430
title: NBDL-HK3QD0V1HSQ18Q
DOI: 10.25919/pmyw-9649
title: NBDL-HK3Q46XXMWCGHJ
DOI: 10.25919/d47g-x635
title: NBDL-HK3QD0SHJSDBJA
DOI: 10.25919/wsez-jr55
title: NBDL-HK3QD0V4QSQ9CK
DOI: 10.25919/g0pm-kq32
title: NBDL-HK3Q46WBGWF08A
DOI: 10.25919/kmq0-3612
title: NBDL-HK3QFJ1KN4N5R9
DOI: 10.25919/5gp0-tc48
title: NBDL-HK3QATD5HP54WS
DOI: 10.25919/dgj0-r787
title: NBDL-HK3QD0TCQSN8DK
DOI: 10.25919/8zc0-f154
title: NBDL-HK3QATDGQP46S5
DOI: 10.25919/qhnp-xt70
title: NBDL-HK3QD0SKPSD8Q2
DOI: 10.15468/dl.ty4epn
title: Occurrence Download

description: A dataset containing 887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "Geometry POLYGON((-140.79477 59.96041,-134.98009 55.14045,-126.11962 47.2728,-105.76822 49.11824,-120.02804 61.77948,-120.02804 69.58147,-140.65633 69.72588,-140.79477 59.96041))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rangifer tarandus",
 "Year 2000-2025"
 ]
}

 The dataset includes 887 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005290-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/7ztx-c471
title: NBDL-HK3QFJ1WQ4JPJD
DOI: 10.25919/wed7-r285
title: NBDL-HK3QFJ17N4NJNS
DOI: 10.25919/qzbr-f861
title: NBDL-HK3QFJ35J4B5JM
DOI: 10.25919/njek-3x16
title: NBDL-HK3QFJ1MQ4N91D
DOI: 10.25919/qcjk-fa33
title: NBDL-HK3QFJ3WM4AYSR
DOI: 10.25919/gt9g-zy83
title: NBDL-HK3QD0SJMSD91Y
DOI: 10.25919/wa90-ym57
title: NBDL-HK3QFJ38M4BX98
DOI: 10.25919/4knz-s476
title: NBDL-HK3QFJ1EK4N0GN
DOI: 10.25919/jft9-jk37
title: NBDL-HK3QD0TVNSJPBF
DOI: 10.25919/2x33-jq86
title: NBDL-HK3QFJ2TG48S3G
DOI: 10.25919/m7kb-9121
title: NBDL-HK3QATDAKP4FFX
DOI: 10.25919/73jk-ne93
title: NBDL-HK3Q46Y1KWBD3F
DOI: 10.25919/dmg8-8t90
title: NBDL-HK3QD0T2KSNJJV
DOI: 10.25919/8wyt-9p97
title: NBDL-HK3QD0TAKSNZZV
DOI: 10.25919/72kp-w892
title: NBDL-HK3QFJ2JG486CG
DOI: 10.25919/chrr-6091
title: NBDL-HK3QD0S7PSAVVJ
DOI: 10.25919/f71g-2v64
title: NBDL-HK3Q46W8JWFZZY
DOI: 10.25919/mbhs-1p24
title: NBDL-HK3QATDJKP422X
DOI: 10.5519/qd.jmfbxmuy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3988 records)
DOI: 10.25919/9e1p-2p12
title: NBDL-HK3QD0R7PSBDFJ
DOI: 10.25919/y4mg-7e17
title: NBDL-HK3Q46X4JWCYFE
DOI: 10.15468/dl.s854d6
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "TaxonKey is Chersobius signatus"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005292-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/06v7-zt73
title: NBDL-HK3QD0SRGSD0K6
DOI: 10.25919/gqs6-pe41
title: NBDL-HK3Q46WNMWEHGJ
DOI: 10.6084/m9.figshare.30690884
title: City-scale AI Development and Regional AI Divide Assessment Datasets for China’s 283 Cities from 2003 to 2023

description: Artificial intelligence (AI) has become a key driver of urban development in the digital age. Meanwhile, the uneven development of AI among cities is creating a new “digital divide”. As one of the pioneering countries in AI development, China has seized the opportunities presented by urban AI development while also encountering the challenge of a regional AI divide. This provides a unique context for the trajectory and spatial layout of regional AI development. However, existing city-scale AI development index assessments generally use a single indicator and have limitations such as insufficient indicator relevance, short coverage period, and lack of regional AI divide assessment. This study constructed a Chinese city-scale AI development index assessment dataset containing 283 cities and a province-scale regional AI divide dataset for 26 provinces from 2003 to 2023. hese datasets encompassed a composite indicator system and evaluation method consisting of three metrics: the number of AI enterprises, the number of patent applications, and the industrial robot installation density, and utilized the Dagum-Gini coefficient method to assess the regional AI divide index. These datasets can comprehensively assess the situation and development trends of AI development in Chinese cities and the regional AI divide, providing data support for academic research related to regional AI development and government policy-making.
DOI: 10.6084/m9.figshare.30690884.v1
title: City-scale AI Development and Regional AI Divide Assessment Datasets for China’s 283 Cities from 2003 to 2023

description: Artificial intelligence (AI) has become a key driver of urban development in the digital age. Meanwhile, the uneven development of AI among cities is creating a new “digital divide”. As one of the pioneering countries in AI development, China has seized the opportunities presented by urban AI development while also encountering the challenge of a regional AI divide. This provides a unique context for the trajectory and spatial layout of regional AI development. However, existing city-scale AI development index assessments generally use a single indicator and have limitations such as insufficient indicator relevance, short coverage period, and lack of regional AI divide assessment. This study constructed a Chinese city-scale AI development index assessment dataset containing 283 cities and a province-scale regional AI divide dataset for 26 provinces from 2003 to 2023. hese datasets encompassed a composite indicator system and evaluation method consisting of three metrics: the number of AI enterprises, the number of patent applications, and the industrial robot installation density, and utilized the Dagum-Gini coefficient method to assess the regional AI divide index. These datasets can comprehensively assess the situation and development trends of AI development in Chinese cities and the regional AI divide, providing data support for academic research related to regional AI development and government policy-making.
DOI: 10.25919/p79h-b660
title: NBDL-HK3QFJ3QP4AFKW
DOI: 10.25919/y0bw-0507
title: NBDL-HK3QD0RWGSACDP
DOI: 10.25919/8e7w-yn68
title: NBDL-HK3QFJ3VP4A9RC
DOI: 10.25919/qw0z-2x57
title: NBDL-HK3QFJ3BP4B2PC
DOI: 10.25919/fbae-wf88
title: NBDL-HK3QFJ1BN4NRF9
DOI: 10.25919/8q4s-r384
title: NBDL-HK3QD0R8GSBCX6
DOI: 10.25919/j77v-z868
title: NBDL-HK3Q46WYPWE2AP
DOI: 10.25919/7yh0-4134
title: NBDL-HK3QD0TWQSJ1BK
DOI: 10.15468/dl.9828pm
title: Occurrence Download

description: A dataset containing 4867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.64818 51.84426,1.71339 49.95257,7.1263 49.88258,7.19152 51.87112,1.64818 51.84426))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina",
 "Year 2016-2021"
 ]
}

 The dataset includes 4867 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005293-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/kksv-4g03
title: NBDL-HK3Q46WVGWE7JA
DOI: 10.25919/aqjp-8v86
title: NBDL-HK3Q46XRJWCRNY
DOI: 10.25919/7v4t-7y37
title: NBDL-HK3QATD9HP5HR9
DOI: 10.25919/p0ct-kh29
title: NBDL-HK3QD0RRGSBJ76
DOI: 10.25919/cqga-ce37
title: NBDL-HK3QATDBNP4EX1
DOI: 10.15468/dl.axkw9q
title: Occurrence Download

description: A dataset listing the 437 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.27444 48.02521,5.29347 48.02521,5.29347 48.03809,5.27444 48.03809,5.27444 48.02521))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 437 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005280-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/50jq-1z95
title: NBDL-HK3QFJ23P491QC
DOI: 10.25919/kr1k-nc39
title: NBDL-HK3Q46WRJWE51Y
DOI: 10.25919/xeja-y760
title: NBDL-HK3QATBHJPFRBE
DOI: 10.25919/zk6c-d566
title: NBDL-HK3QATB0MPEX0J
DOI: 10.25919/bt1s-j374
title: NBDL-HK3Q46XQGWF63T
DOI: 10.25919/akez-b896
title: NBDL-HK3QD0RFPSB02J
DOI: 10.15468/dl.hfytwf
title: Occurrence Download

description: A dataset containing 848 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea sansibarensis"
 ]
}

 The dataset includes 848 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005294-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/l6xjid
title: Outborns outcome in 4 Nairobi county hospitals

description: This is a subset from the larger Clinical Information Network (CIN) dataset captured for all admissions into neonatal units, including birth data, short history (reasons for admission), examination data at the point of arrival to newborn units, investigations, treatments, supportive care, and outcomes. 
These data are collected retrospectively through patient files by a data officer through the Clinical Information Network. These are then submitted to the KEMRI Wellcome Trust for data management and use.
description: <strong>Data Access: </strong>Restricted

Access to these data requires submission of a formal request for consideration by our Data Governance Committee. 
<strong>How to request</strong>

Download and complete the <strong>data request form</strong>
 Email completed data request form to the Data Governance Committee at <strong>dgc@kemri-wellcome.org</strong>
DOI: 10.15468/dl.hp4443
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Petrocoptis grandiflora"
 ]
}

 The dataset includes 284 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005296-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44q3q6
title: Occurrence Download

description: A dataset containing 4117857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 4117857 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005256-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.